SOCIAL COMPETENCE: CARDIOVASCULAR ACTIVITY AND HUMOR
AS MEDIATING MECHANISMS
by
Sherri M. Tillotson
B.Sc. (Psychology) University of Northern British Columbia, 2007
THESIS SUBMITTED IN PARTIAL FULFILLMENT OF
THE REQUIREMENTS FOR THE DEGREE OF
MASTER OF SCIENCE
IN
PSYCHOLOGY
THE UNIVERSITY OF NORTHERN BRITISH COLUMBIA
December, 2009
© Sherri M. Tillotson, 2009
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ABSTRACT
This study investigated respiratory sinus arrhythmia and heart rate as functions of social
competence. It was hypothesized that during an anxiety provoking social task, the group
rated as high social competence would exhibit greater vagal tone than the low social
competence group. Consistent with expectations, the high social competence group exhibited
significantly higher vagal tone than the low social competence group during the task.
Further, the high social competence group reacted with higher mean heart rate while
anticipating the task but recovered more rapidly than the low social competence group.
Styles of humor were explored as a mediating variable between social competence and
cardiovascular activity. This study found, for the males, significant negative relationships
between heart rate and positive styles of humor and a significant positive relationship
between heart rate and self-deprecating humor. Overall, the findings were in support of
existing theories on social stress as a determinant of health.
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TABLE OF CONTENTS
Abstract:
ii
List of Tables:
v
List of Figures:
vi
Acknowledgements
vii
INTRODUCTION
1
Conceptualizing Social Competence
1
Humor as a Mediating Variable
6
Heart Rate Variability as a Dependent Measure
8
Purpose of the Present Study
9
METHODS
10
Participants
10
Video Stimulus
11
Psychological Measures
11
Apparatus and Materials
12
Procedure
12
Obtaining Physiological Recordings
13
RESULTS
15
Overview of Analyses
15
Demographics
17
Analyses of psychometric variables
20
Analyses of RSA
21
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Analyses of Heart Rate
25
Analyses of LF/HF Ratio
29
Humor as a Mediating Variable
32
DISCUSSION
35
The relationships between RSA and HR
38
Social Competence and Respiratory Sinus Arrhythmia
41
Social Competence and Heart Rate
44
Phase Effects of RSA, HR, and LF/HF
45
Social Competence, Humor and Heart Rate
46
LIMITATIONS
49
IMPLICATIONS
50
REFERENCES
53
APPENDICES
A. Interpersonal Competence Questionnaire (ICQ)
61
B. Fear of Negative Evaluation (FNE)
65
C. Humor Styles Questionnaire (HSQ)
67
D. General Health Form
70
E. Consent Form
75
F. Information Debriefing Sheet
76
G. Source Table for calculations
77
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LIST OF TABLES
1. Demographic Characteristics for the Sample
18
2. Health Characteristics for the Sample
19
3. Factor Pattern Matrix for the ICQ, FNE, HSQ, TAS, CM, STAIS and STAIT scales
21
4. Descriptive Statistics for the RSA (ms2)
22
5. Associations among the ICQ, the four dimensions of the HSQ, and Gender
34
6. Associations among the Four Styles of Humor and the Phases of Heart Rate
35
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LIST OF FIGURES
1. Main Effect of RSA
23
2. RSA as a Function of Social Competence
24
3. Descriptive Statistics for the Heart Rate Data
26
4. Mean Heart Rate as a Function of Social Competence Shown by Phase
27
5. Mean Heart Rate as a Function of Social Competence Shown by Epoch
28
6. Mean Heart Rate as a Function of Gender
30
7. Descriptive Statistics for the Sympathovagal Balance
31
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ACKNOWLEDGEMENTS
I thank my supervisor, Dr. Ken Prkachin, for his invaluable guidance and support
throughout this work. Ken's encouragement and dedication were pivotal to keeping me
focused through this research; more importantly, Ken's guided yet independent approach to
my program allowed me the flexibility to be a successful student and mother and for that
understanding I am forever grateful. All my initial ideas were worthy of Ken's time and I
truly valued and appreciated his patience and positivity in the early stages of my thesis
development. His lighthearted comment, "there has never been a master's thesis that has won
a Nobel prize" resonated with me through the times when I wanted to ensure that I had the
"perfect" thesis and struggled to stay in a linear fashion.
Ken is a model for modesty,
boundaries and genuineness; I believe that I have grown on a personal level by having him as
a mentor. Thank you Ken.
I would like to express my appreciation to my committee members, Dr. Glenda
Prkachin and Dr. Davina Banner-Lukaris for their positive and detailed feedback at the
various stages of my work. I appreciate how the diversity in their expertise added breadth
and depth to my research. Tyler Ringdahl and Angie Sackney from UNBC need to be
recognized for their help in conducting the research. Their many hours of transforming raw
data into meaningful output allowed me to complete this project in a timely manner.
A number of professors in the UNBC psychology department have influenced my
work, formally and informally. I feel very fortunate to have received my training in such a
positive and interactive learning environment where I have been welcomed by most faculty
members to "pop in" for a quick conversation and/or inquiry. These brief moments of
inspiration should not go unrecognized and I thank every professor that has capitulated to my
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"do you have minute?" Specific recognitions go out to Dr. W. Owen for his dedication to
mentoring me in various capacities and Dr. P. Siakaluk for providing me with my first
publication.
I would like to convey appreciation to the Graduate Studies office at UNBC for their
commitment to me on the administrative side of my thesis. I received a Social Sciences
Humanities Research Council (SSHRC) master's training award and it was the Graduate
Office that ensured my paperwork was up to date and that my funding arrived in a timely
manner. Thank you ladies for all your hard work in there! I am grateful for the funding that I
have received in my master's level training through various scholarships and the SSHRC
Joseph Bombardier Graduate Award.
Finally and most importantly, I thank my two children, Stephanie and Tyler, for their
constant love, support, and understanding during my master's degree.
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Social Competence: Cardiovascular Activity and Humor as Mediating Mechanisms
INTRODUCTION
The annual burden to treat cardiovascular diseases in Canada is over 18 billion
dollars. Furthermore, cardiovascular diseases account for 33% of deaths in Canada every
year (Heart & Stroke Foundation, 2002). Research suggests that stress produced during
taxing social interactions is a determinant of cardiovascular diseases (Suchday & Larkin,
2004). Research has shown that blood pressure becomes elevated during an overt expression
of anger while other research has found that blood pressure becomes elevated when anger is
suppressed (Burns, Bruehl, & Quartana, 2006). Suchday and Larkin posited that these dual
findings in the anger research may be the result of dysfunctional emotional expressions,
which may contribute to cardiovascular diseases. Further, Thomas, Nelson, and Dimsdale
(2004) speculated that higher levels of suspicion, which manifest from stable negative social
environments, may be an equally important determinant of cardiovascular diseases.
Dysfunctional anger expressions combined with high levels of suspicion may result in
individuals who are hostile and create a social world that is not favorable to cardiovascular
health (Smith, 1992).
Conceptualizing Social Competence
Social competence, or the ability to elicit positive responses from others through the
employment of social, cognitive, and emotional awareness, may be a protective factor
against cardiovascular diseases. Thomas et al. (2004) reported that individuals who were
more socially skilled negotiated problematic situations with greater satisfaction than those
who were socially unskilled. A socially skilled individual may experience fewer stressrelated experiences over time, which may result in less physiological arousal (i.e., heart rate
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or blood pressure). The individual would be less susceptible to cardiovascular diseases to the
extent that diminished stress-linked physiological responses are linked to pathophysiologic
processes underlying its development. In contrast, the socially incompetent individual's
trajectory may include increased vigilance to perceived hostile interpersonal interactions
resulting in chronic heightened physiological arousal and a trajectory towards the
development of cardiovascular diseases.
An element of social competence is emotional competence. Eisenberg, Cumberland,
and Spinrad (1998) contended that emotional competence was a complex internal process
requiring an individual to recognize their own internal affective states as well as those of
others, and subsequently up regulate or down regulate their physiological, cognitive, and
behavioral components in order to accomplish their goals. Mayer, DiPaulo, and Salovey
(1990) conceptualized emotional competence as an ability-based construct: (1) the ability to
perceive emotions, (2) the ability to use emotions, (3) the ability to understand emotions, and
(4) the ability to manage emotions. Similarly, Bar-On (2006) defined emotional competence
as the ability to: (1) effectively understand oneself and others, (2) relate well to others, and
(3) adapt and cope with the immediate surroundings. Bar-On speculated that emotional
competence developed over time and that it could be improved through training. Petrides and
Furnham (2003) considered emotional competence as a trait where some individuals have
dispositions allowing them to recognize, process, and use emotions with greater ease than
others. Although there are differences in the conceptualizations of emotional competence
models, all posit that individuals with higher emotional competence are more successful at
meeting environmental demands and pressures whereas a deficiency in emotional
competence can mean a lack of success and correlated emotional problems.
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However, emotional competence does not fully explain our ability to navigate
successfully within a social interaction. Social cognitions, or the receiving, processing, and
response to information underlie our social interactions (Herrald & Tomaka, 2002; Cohen,
2004). Cohen characterized the receiving stage as involving the perception and recognition
of social cues. Such cues include not only overt behaviors and verbal dialogue, but also the
emotional tone and nonverbal cues that help to define a social situation. Equally important is
the cognitive processing that includes the interpretation of the incoming social information
(i.e., overt behavior, verbal and non-verbal cues) (Herrald & Tomaka, 2002). Biased or
deficient knowledge during a social interaction may lead to inappropriate responses or a
failure to anticipate potential problems; hence, inadequate resolution during negative social
interactions may lead to an increase in rumination and/or vigilance.
Social competence seems to be a more encompassing term to describe the interplay
between emotions and cognitions for the purpose of navigating within interpersonal contexts.
In the literature, the construct of social competence has been identified in a variety of ways.
Ryan and Shim (2006) defined social competence as an individual's social abilities during
the formation of friendships. Parker, Saklofske, Shaughnessy, Huang, Wood, and
Eastabrooks (2005) defined social competence as the cognitive-emotional abilities displayed
by an individual whereas Auerbach, Clore, Kiesler, Orr, Pegg, Quick, and Wagner (2001)
constructed social competence as a set of behaviors emitted by an individual combined with
the impressions or attributions made about an individual by another. Others define social
competence as the quality of the overall interaction process including numerous inter-related
components such as knowledge, motivation, skill, context, and outcomes (Ewart, Jorgensen,
Suchday, Chen & Matthews, 2002).
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Ewart et al. (2002) developed a measurement tool that coded individuals on a
combination of behavioral expression and personal endeavors. The underlying framework of
Ewart et al.'s measurement of social competence is that a vulnerability to chronic arousal
arises as a three-way function of an individual's personal goals, their social skills and
behavioral stylistics, and their effect on others. A socially competent individual has the
ability, by moderating their emotions and actions, to choose and pursue their desirable and
achievable goals. An understanding of emotional regulation allows one to connect with,
understand and make connections with others in their social realm.
Ewart and Jorgenson (2004) built upon this existing model of social competence by
dichotomizing personal goals into self-directed and other-directed goals. Self-directed goals
are a reflection of an individual's desires for self-improvement with an internal focus,
whereas other-directed goals are a reflection of an individual's focus on others for
improvement and change, or an external focus. Ewart and Jorgenson found that socially
competent individuals appeared to be more inner-focused when striving towards a goal. In
contrast, individuals who were rated as less socially competent appeared to be focused on
changing others to accomplish their goal. Based on the results from their research, Ewart and
Jorgenson categorized three types of individuals, agonistic, transcendent and avoidant, with a
combination of expressive style and personal strivings (other-directed or self-directed). The
individuals that made up the agonistic cluster self-reported less proficiency in solving
persisting personal problems, scored higher on the negative dimensions (critical-aggressive)
of a social impact scale, and scored as significantly more negative on objective ratings by
others. Further, the findings from Ewart and Jorgenson's research showed that during social
interaction participants categorized as agonistic had significant higher diastolic blood
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pressure during social interactions when compared to the transcendent and avoidant groups.
However, a problem with Ewart et al.'s social competence measure is that it is limited to
adolescent populations and stressful interpersonal conflicts.
Buhrmester, Furman, Wittenberg and Reis (1988) identified five
interpersonal
domains to quantify social competence. They then developed a questionnaire measure to
assess these domains, the Interpersonal Competence Questionnaire (ICQ). The five domains,
initiating relationships, personal disclosure, negative assertion, emotional support, and
conflict management, were moderately positively correlated, suggesting that an individual
may be scored as more competent in one domain of social behavior than another. However,
the study also showed that there was generalizability across the domains. Thus, higher
ranking on one dimension of social competence may provide the opportunity for the
individual to develop greater social competence in another domain. For instance, an
individual scoring higher on initiating relationships may construct a social world where more
opportunities exist to develop in the conflict management domain compared to an individual
scoring lower on initiating relationships.
The ICQ has been employed extensively in the literature to correlate social
competence with other social functioning. Buhrmester (1990) found significant negative
correlations between hostility, depression and the ICQ measure of social competence. Miller
and deWinstanley (2002) conducted two studies with undergraduate students and found a
significant positive correlation between the ICQ and involvement and enhancement of
conversation. Herzberg et al. (1998) found that chronic interpersonal stress was predicted by
the ICQ measure with more competent scores indicating less interpersonal stress. Gudleski
and Shean (2000) found higher scores in initiation and assertion for nondepressed students
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compared to depressed students. Further, the ICQ has been validated as a valuable
assessment tool in adolescents, young adults and married couples (Kanning, 2006). This
study used the ICQ as a measure of social competence.
Humor as a Mediating Variable
Humor as a mediating mechanism in social interactions is an interesting concept.
There is evidence linking types of humor to maladaptive health outcomes. Lefcourt,
Davidson, Prkachin, and Mills (1997) showed a significant difference in blood pressure
between individuals scoring low versus high on a coping humor measure with the low humor
scores having higher blood pressure recordings. Martin, Puhlik-Doris, Larsen, Gray, and
Weir (2003) found that negative types of humor such as aggressive teasing and sarcasm may
negatively influence social interactions. Aggressive teasing or sarcasm may be misattributed
as humor, or may involve purposeful acts of aggression under the guise of positive affect.
These types of humor may be indicative of a deficit in social skills, which may result in a bi
directional lack of empathy and/or loss of social support. Martin et al. further added that
people who engage in aggressive humor also exhibit dysfunctional expressions of anger.
Thus, the well judged use of humor may be as important as the regulation of anger
expression during social interactions.
Humor is a multi-faceted construct that has been conceptualized in a number of ways.
Ruch and Carroll (1998) considered humor a stable personality trait with individual
differences observed in hedonic responses. Ruch and Carroll considered humor to be a
habitual pattern in behavior categorized by frequency of laughter, frequency of joke telling
and laughing at other's jokes. Feingold and Mazzella (1993) conceptualized humor as a
cognitive ability such as being able to recall jokes or the ability to create jokes. Svebak
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(1996) posited that humor was a global attitude on how an individual views the world while
Lefcourt, Martin, Fick, and Saleh (1986) built on the notion that humor could be used as a
coping mechanism during social interactions.
Equally relevant, methods of measuring humor are numerous and multi-faceted.
Svebak (1996) developed a Sense of Humor Questionnaire to capture how an individual
notices and enjoys humor. Martin and Lefcourt (1984) developed the Situational Humor
Response to measure how often an individual smiles and laughs across a wide variety of
situations. Martin and Lefcourt (1983) developed the Coping Humor Scale to quantify how
humor was used as a coping strategy. Martin, Puhlik-Doris, Larsen, Gray, and Weir (2003)
developed the Humor Styles Questionnaire (HSQ) to assess how individuals differ while
using humor in everyday life. Martin et al. conducted correlations between the HSQ with
other humor-related measures and found that the dimensions, 'affiliative' and 'selfenhancing', were positively correlated the Coping Humor Scale and the Sense of Humor
Questionnaire.
Martin et al.'s (2003) argument for developing another humor measure was based on
the need for capturing potentially harmful uses of humor. They argued that some individuals
use humor to reduce conflict and enhance group cohesiveness, which they distinguished as
benign humor; whereas, other individuals use humor in a hostile fashion to injure or ridicule,
which the researchers distinguished as aggressive humor. Martin et al. noted that it was futile
to suggest a simple dichotomization between benign and aggressive uses of humor. Rather,
the authors suggested that benign and aggressive styles of humors may fall onto a broad
spectrum with four distinguishable categories that individuals regularly employ in their daily
interpersonal interactions. Affiliative and self-enhancing humor are thought to be beneficial
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to interpersonal relationships whereas aggressive and self-deprecating humor are thought to
be detrimental to relations. Research using the HSQ to measure individuals on these four
dimensions has shown that self-enhancing and affiliative humor are positively related to
measures of interpersonal adjustment and emotional well-being, whereas aggressive humor is
related to hostility, and self-deprecating humor is related to negative emotions and low selfesteem. Inappropriate uses of humor (aggressive humor) during social interactions may be
attributed, in part, to a dysfunction in the processing of emotional information.
Heart Rate Variability as a Dependent Measure
A valuable physiological tool when studying determinants of cardiovascular diseases
is heart rate variability (HRV). Normally an adult human will have a resting heart rate
ranging between 50 and 90 beats per minute. When challenged by exercise or other stressors,
the heart rate will increase, often dramatically. Within the full range of the heart's changing
rate, however, there is substantial variability from one beat to the next. HRV is measured by
examining these differences in the variation between the beats of the heart. HRV is thought
to reflect the heart's ability to adjust to changing circumstances and is a useful tool for
understanding the autonomic nervous system. Heart rate is controlled by both branches of the
autonomic nervous system (ANS), the sympathetic nervous system and the parasympathetic
nervous system. When the body is functioning optimally, the sympathetic nervous system
becomes the dominant system in response to an acute stress whereas the parasympathetic
nervous system regulates the return of the body to homeostasis. Tools have been developed
to measure the separate influences from the sympathetic and parasympathetic activity by
investigating components of the power spectral density function taken from a time-series of
cardiac inter-beat intervals. Specifically, sympathetic activity is associated with low range
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frequencies (.04-.15 HZ) while parasympathetic activity is associated with the higher
frequency range (0.15-0.4 Hz) during the R to R interval (R to R peak in the heart waveform)
of the heart rate. Parasympathetic influences on heart rate have also been reliably quantified
by respiratory sinus arrhythmia (RSA), which is the variation in heart rate that occurs during
a breathing cycle. The RSA is mediated through inhibitory vagal fibres to the sinus node
(Berntson et al., 1997; Task Force, 1996) and may be derived from the high frequency (HF)
band of the heart rate variability spectrum.
Research has shown that a predominance of sympathetic activity and a reduction in
parasympathetic activity occurs in patients after a myocardial infarction (Frasure-Smith and
Lesperance, 2005). Recently it has been demonstrated that there is an association between
depressive symptoms and myocardial infarction (Grippo & Johnson, 2003). Movius and
Allen (2005) found that individuals who scored lower on social anxiety self report measures
had greater HRV than individuals who self reported greater social anxiety. Further,
individuals who scored higher on a defensiveness measure had lower resting vagal tone (an
index of parasympathetic activity) than individuals who were not as defensive, which
suggests several possibilities. The parasympathetic activity in high defensive individuals may
not be influencing the heart as optimally as the low defensive individuals or the sympathetic
activity may be higher in the high defensive individuals. Over time the implication of a lower
resting vagal tone is an individual at a greater risk for cardiac damage.
Purpose of the Present Study
It is thought that individuals engaging in unfulfilling social interactions are at a
greater risk for poor cardiovascular health. Chen, Mathews, Salomon and Ewart (2002)
categorized adolescents using Ewart et al.'s (2002) social competence measurement as
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scoring either high on acceptance-affiliation or self-defensiveness and found that they had
less heart rate variability during a social stressor than individuals who did not display the
characteristics for these categories. In the current study it was hypothesized that individuals
scoring higher on a social competence measure, the ICQ, which is a global measure on selfefficacy across interpersonal task domains, would exhibit greater vagal tone than individuals
scoring lower on the ICQ during a stressful task. Another purpose of the present study was to
examine whether humor mediates the relationship between social competence and
cardiovascular activity. Affiliative and self enhancing styles of humor were expected to have
positive correlations with social competence whereas aggressive and self-deprecating styles
were expected to have negative correlations with the overall ICQ measures. There were no
directional hypotheses on how humor would relate to cardiovascular activity. Another
measure, Fear of Negative Evaluation (FNE), was included in the psychometric testing as a
manipulation check. The FNE is designed to categorize individuals on anxiety levels
(Watson & Friend, 1969). The design of this study was built on the premise that there is an
inverse relationship between social anxiety and social competence; bivariate correlations
tested the hypothesis that social anxiety and social competence would be inversely related.
METHODS
All necessary ethics forms were submitted for approval to the University of Northern
British Columbia's (UNBC) research ethics board prior to commencing data collection. The
ethics approved informed consent and participant debriefing forms can be found in
Appendices E and F respectively.
Participants
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Eighty undergraduate students at UNBC participated in this study. Fifty one
participants recruited through the psychology undergraduate research pool received one
bonus credit applied to a psychology course and 29 participants recruited through flyers
received $15.00 for their time. There were equal numbers of males and females in the study
(40 per cell) and an overall mean age of 22.45 (SD = 3.85, range =19-38).
Video Stimulus
Participants observed three two minute video clips of other individuals participating
in the Favorable Impressions (FI) task. Videos were previously collected as part of another
study (Davidson, Prkachin, Mills & Lefcourt, 1994; Davidson, Prkachin, Lefcourt & Mills,
1996). The FI task is a reliable method for inducing social anxiety that was developed by
Borkovec, Stone, O'Brien & Kaloupek (1974). Davidson et al. utilized the FI to examine
physiological responses to psychological stressors. To induce a state of stress the FI task
participants are told that they have two minutes to make a favorable impression on an
unresponsive opposite sexed confederate. For the present study participants viewed videos of
people of the same sex who had been reliably rated as displaying high levels of anxiety
(Russell & Prkachin, 2008 unpublished).
Psychological Measures
Interpersonal Competence Questionnaire (ICQ) (Buhrmester et al., 1988) (see Appendix A)
The ICQ is a 40-item self-report measure in which participants are asked to rate their
ability to handle a variety of interpersonal tasks in different social competence domains:
initiating relationships, personal disclosure, negative assertion, emotional support, and
conflict management. This measure has been validated in young adult populations.
Fear of negative evaluation scale (FNE) (Watson & Friend, 1969) (see Appendix B)
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The FNE is a series of 29 brief true/false statements that differentiates whether
participants are experiencing low, moderate, or high levels of anxiety in social situations.
Humor Styles Questionnaire (HSQ) (Martin et al., 2003) (see Appendix C)
The Humor Styles Questionnaire (HSQ) was developed to assess individual
differences in the use of humor. The HSQ differentiates four humor styles with a 32-item self
report; affiliative and self-enhancing humor are thought to be beneficial to interpersonal
relationships whereas aggressive and self-defeating humor are thought to be detrimental to
relations.
Apparatus and Materials
A system consisting of a Dell Optiplex GX620 computer, AcqKnowledge 3.9
software, and BioPac physiological recording system was used to obtain continuous
recordings of the electrocardiogram (ECG). Participants were connected to three leads using
BioPac disposable ECG electrodes attached to each wrist and the right shin. The dependent
variables were extracted from the ECG recordings, respiratory sinus arrhythmia (RSA),
which quantified vagal tone, heart rate (HR) and overall index of cardiac reactivity, and low
frequency-high frequency (LF/HF) ratio, an index of sympathovagal balance, offline using
Mindware 2.6 software.
Procedure
When participants signed up for the study through the Sona System, an online
participant management program, the pre-requisites were that they had completed a series of
psychological prescreen tests, which included the Toronto Alexithymia Scale (TAS), the
Crowne-Marlowe Social Desirability Scale (CM), and the State (STAIS) and Trait (STAIT)
Anxiety inventories. To maintain continuity, the participants outside of the psychology
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research pool completed the same series of psychological prescreen tests, using the same
format as the Sona System, through the general UNBC survey system. The ICQ and the HSQ
were uploaded on the Sona System and UNBC general system and administered in random
order. To clarify, the online system did not allow for random orders of the tests, only random
ordering of the questions within each test, therefore, the ICQ was answered first and the HSQ
answered second. At the completion of the online testing, there were instructions to book a
lab time and to refrain from consuming caffeine 2 hrs prior to the physiological testing and
refrain from consuming alcohol 12 hrs prior to testing.
Participants reported to the laboratory in a single session. There was a brief
habituation period were participants were informed of general reasons why researchers are
interested in obtaining psychophysiological information and how those recordings are
obtained. To ensure consistency and clarity, the researcher read the study instructions and the
informed consent to each participant (see Appendix E). The participants were given the
opportunity to ask any questions before signing the consent form. First, participants
completed a comprehensive demographic and health form (Appendix D) that provided
information about their medical history, familial health concerns, physical activity, smoking,
and alcohol consumption and then they completed the FNE. Complete listings of the
demographic and health variables are listed in Table 1 and Table 2.
Obtaining Physiological Recordings
Vicarious exposure to the anxiety of others was used to induce a state of anticipatory
anxiety. Participants were seated comfortably in a chair with slightly elevated legs and were
connected by electrodes to the physiological recording system. Participants were asked to
remain as still as possible throughout the study. The room temperature was controlled and all
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participants were covered with a blanket to reduce movement. The participants remained
connected to the electrodes through all phases of the study, which were as follows: (1) - for
six minutes the participants listened to an audio recording of another individual reading from
a statistics text, this was the baseline phase of the study. The researcher was in the adjoining
room monitoring the ECG recordings and flagging appropriate times in the Acknowledge
software. The researcher reentered the room after six minutes to explain to the participants
that during the next phase of the study, they would be shown some videos of other people
who have gone through it. The researcher ensured the participants were comfortable,
answered any questions and then left the room, (2) for the next six minutes the participants
viewed video clips of three other same sexed people participating in the FI task. The videos
were selected based on anxiety scores obtained in an earlier study (Russell & Prkachin,
2008) to show people displaying relatively high levels of anxiety, (3) at the end of six
minutes, the following words came on the computer monitor "you now have six minutes to
prepare for the same favorable impressions task, please remain as still as possible for the
entire study." At this point the researcher (in the adjoining room) flagged the ECG
recordings as the beginning of the anticipation phase. It is important to note, that in order to
obtain a pure physiological measurement that could be attributed to a shift in emotionality,
the researcher did not re-enter the room at this point. The instructions remained on the
computer monitor for one minute followed by a blank screen for the remainder of the study,
(4) the researcher reentered the room after six minutes passed, the participant was informed
that they would not actually participate in the FI task but were asked to remain seated quietly
for another six
minute recovery phase. After six minutes elapsed the participants were
disconnected from the electrodes. Participants were debriefed at the end of the study (see
14
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Appendix F), were given specific directions to not talk to their peers about the nature of
deception within the study, given the opportunity to ask any questions, and thanked for their
time before they left the lab.
RESULTS
Overview of Analyses
Data were initially collected from 84 students. Four participants' data were discarded
immediately after data collection, two due to equipment malfunction, and two due to
excessive movement during the recordings, which resulted in too many artifacts for accurate
analyses as recommended by Berntson, Quigley, Jang, and Boysen, (1990). Further, a
socioeconomic status indicator (postal code) from the general health/demographic form was
discarded at the end of data collection because 23.75% (N = 19) of the participants did not
complete the response. When students were prompted for their postal code, they replied that
they could not remember it and that they would email it to the researcher after the study. A
follow up request for postal codes was emailed out via the Sona System resulting in two
replies. There was no indication that these values were missing in a non-random fashion.
All participants completed pre-screen questionnaires, the Toronto Alexithymia Scale
(TAS), the Crowne-Marlowe Social Desirability Scale (CM), a State Anxiety Inventory
(STAIS) and a Trait Anxiety Inventory (STAIT) as well as the ICQ (social competence
measure) and the HSQ (humor measure) prior to entering the lab by utilizing online
questionnaire data collection capabilities of the Sona System and a general UNBC site. Raw
data from both collection sites were downloaded directly into an Excel spreadsheet, scored
using Excel mathematical functions, and then copied directly into SPSS, Version 17. The
general health form and the FNE were paper and pencil based; therefore, a volunteer
15
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undergraduate manually input the data into Excel spreadsheets. The FNE was scored by the
researcher using the appropriate Excel mathematical function and the raw data was then
copied directly into SPSS, Version 17. All psychometric data were screened for potential
outliers and missing values. There were no missing values, which can be partially attributed
to the fact that the online survey systems require participants to complete one section prior to
advancing. Inspection of the variable histograms indicated that the variables were reasonably
normally distributed.
The continuous ECG recordings from the AcqKnowledge 3.9 software were
reformatted offline into individual files so that the baseline, observation, anticipation, and
recovery phases were exactly 360 seconds in length. Reformatted data were entered into
commercially available software (Mindware HRV 2.0, Mindware, Gahana, OH) to
independently extract the physiological variables (heart rate, RSA and LF/HF ratio) in one
minute intervals. The Mindware software flagged any abnormalities on the ECG recordings
and judgments were made to correct for abnormal beats and artifacts using recommendations
from Berntson et al., (1990). The initial physiological recordings were based on six oneminute epochs across four phases (baseline, observation, anticipation, recovery). Four cases
were missing scores in the sixth epoch of the recovery phase; therefore, analyses were
conducted using five epochs across the four phases.
The study design was a mixed model analysis of variance (ANOVA) testing the
following hypotheses: (1) individuals who are more skilled socially would exhibit increased
cardiac vagal tone (as indexed by RSA),
to the anticipation of a social stressor than
individuals who are not as skilled socially, and (2) individuals who are more skilled socially
would exhibit a differential pattern of overall cardiac reactivity, indexed by heart rate (HR),
16
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to the anticipation of a social stressor than individuals who are not as skilled socially. There
was no specific hypothesis on the direction of difference for cardiac reactivity. There were
no a priori hypotheses regarding gender differences; however, having equal number of males
and females in the study allowed for this variable to be included in analyses. To form the
between subjects groups, aggregate scores were obtained for the measure of social
competence (SC), the ICQ (M = 135.31, SD = 21.82). The entire sample was split on the
median ICQ score to form two equal size groups (N =40), a high SC group (M = 151.95, SD
= 12.10) and a low SC group (M = 118.68, SD = 15.81). An independent samples /-test
confirmed that the groups were significantly different on the SC measure, /(78) = 10.57, p <
.001. Following the recovery period, participants were asked to rate, on a scale of one to 10,
the amount of anxiety, relative to other personal situations, that they were experiencing
during the anticipation phase of the study. This was done as a manipulation check to
determine whether participants were experiencing any anxiety. An overall mean of 6.42 (SD
= 2. 29, range 2-10) revealed that participants were experiencing what they personally
considered anxiety.
Demographics
Table 1 displays the overall demographic characteristics of the participants. To verify
that there were no between-groups (high SC versus low SC) differences on the demographics
listed in Table 1 Chi square or t tests, as appropriate to the nature of the data, were
conducted. An independent t -test confirmed there were no significant group differences on
age, t(78) = 1.22, p = .23. Chi square tests confirmed that there were no significant group
differences on gender x2(l, N = 80) = 0.45,p = .50, ethnicity, %2(3, N = 80) = 2.27, p = .52,
17
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relationship status, %2(4, N = 80) = 4.90,/? = .30, number of years in university, %2(6, N = 80)
= 4.71 ,p = .58, and hometown region, x2(2, N = 80) = 2.90, p = .24.
Table 1
Demographic Characteristics for the Sample
Descriptor
M
SD
Frequency
Percent
Age (overall)
Gender
Male
Female
22.45
3.85
40
40
50.0%
50.0%
Ethnicity
Caucasian
Asian
Indo-Canadian
First Nations
69
7
2
2
86.3%
8.8%
2.5%
2.5%
Relationship Status*
Single
Common-Law
Dating
Other
Blank
39
11
25
1
4
48.8%
13.8%
31.3%
1.3%
5.0%
# of Years in University
One
Two
Three
Four
Five
27
14
19
19
1
33.8%
17.5%
23.8%
23.8%
1.3%
Hometown Region**
Urban
41
51.3%
Rural
37
46.3%
Blank
2
2.5%
* no participants identified as married;** participants were given verbal instructions if
hometown population was <10,000 that it was considered rural.
Table 2 displays data on health characteristics that may affect physiological
recordings. Table 2 displays the chi-square analyses conducted to confirm that there were no
18
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significant between group differences on 15 medical history variables and eight family
history variables. Further, chi square tests confirmed that there were no significant group
differences on caffeine consumption in the past 2 hrs %2(1, N = 80) = 2.14, p = . 14, alcohol
consumption in the past 24 hrs, x2(l, N = 80) =1.01,/? = .31, smoker, %2(1, N = 80) = 0.213,
p = .64, and medication usage, x2(l, N = 80) = 0.213, p = .64,
and overall exercise
frequency, %2(2, N = 80) = 2.90, p = .24. Independent t -tests confirmed there were no
significant between group differences on BMI, t(78) = 0.17, p =.87 and minutes of
exercise/week, ^(78) = \.2S,p=.2\.
Table 2
Health Characteristics for the Sample
Descriptor
BMI (overall) (kg/m2)
Minutes of exercise/week
Caffeine in past 2 hrs
Alcohol in past 24 hrs
Smoker
Medication
M
SD
23.39
242.43
5.50
256.91
Frequency
Percent
Chi-square statistic
for group differences
24
30.0%
.11.3%
5
6.3%
50
62.5%
Medical History checklist
Rheumatic fever
Heart Murmur
High Blood Pressure
High Cholesterol
Heart Attack
Heart Operations
Diabetes (diet or insulin
dependent)
Epilepsy
Varicose Veins
Disease of Arteries
Emphysema, Pneumonia,
Asthma, Bronchitis
Back Injury
X20,Af = 80) = 1.01
t ( h N = 80) = 0.55
f ( h N = 80) = 0.00
f ( h N = 80) = 2.05
1
8
6
2
0
0
1
1.3%
10.0%
7.5%
2.5%
0.0%
0.0%
1.3%
2
3
0
17
2.5%
3.8%
0.0%
21.3%
t f ( l , N = 80) = 0.67
7
8.8%
f ( h N = 80) = 0.16
l\l,N = 80) = 1.01
80) = 2.05
f ( h N = 80) = 0.35
19
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Table 2 cont.
Drug Reaction
Psychiatric difficulty
Other
8
10.0%
8.8%
10.0%
f ( \ , N = 8 0 ) = 0.56
i\\,N = 80)=\A\
x2(l> N = 80) = 0.56
33
40
21
36
28
8
19
10
41.3%
50.0%
25.0%
45.0%
35.0%
10.0%
23.8%
12.5%
x2(2> N = 80) = 1.45
x2(2, N = 80) = 2.54
x2(2, N = 80) = 2.68
x2(2, N = 80) = 0.20
x2(2, N = 80) = 4.09
x2(2, N = 80) = 2.23
x2(2> N = 80) = 1.85
x2(2> N = 80) = 1.67
8
7
Family History Checklist
Heart Attack
High Blood Pressure
Stroke
High Cholesterol
Diabetes
Congenital Heart Disease
Heart Operations
Other
Analyses of psychometric variables
A maximum likelihood factor analysis was conducted as a preliminary step to
determine the shared variance among the set of four psychometric variables of interest, the
ICQ and the HSQ, which contains four subscales and the eight pre-screen psychometrics, the
FNE, the TAS, which contains three subscales, the CM, STAIS, and the STAIT. The initial
eigenvalues greater than one indicated that nine of the variables loaded onto two factors;
therefore, the data were submitted to a varimax rotation. The rotated solution, shown in
Table 3, yielded two interpretable factors, a social skill factor and an aversive use of humor
to connect factor. The social skill factor (loading on six variables) accounted for 39.52% of
the variance. The aversive use of humor to connect factor (loading on three variables)
accounted for an additional 14.84% of the variance. Based on the results of the final factor
analysis, it was determined that the social competence measure (ICQ) was a valid measure of
social skill. Further since the design of this study was built on the premise that there is an
inverse relationship between social competence and social anxiety, a bivariate correlation
20
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was conducted between the ICQ and the FNE. The analysis revealed a significant negative
relationship, r = -.355, p <.001, indicating that the higher an individual scored on the social
competence measure the lower they scored on the social anxiety measure.
Table 3
Factor Pattern Matrix for the ICQ, FNE, HSQ, TAS, CM, STAIS and STAIT scales
Factor
Psychometric variables
1
2
TAS - difficult identifying feelings
TAS - difficulty describing feeling
TAS - external oriented thinking
CM - social desirability
STAIS - state anxiety
STAIT - trait anxiety
ICQ - social competence
HSQ - affiliative humor
HSQ - self-enhancing humor
HSQ - aggressive humor
HSQ - self-deprecating humor
FNE- fear of negative evaluation
.743
.609
.306
.359
.378
.475
-.311
-.112
-.341
-.177
-.018
.707
.445
-.164
.447
.468
.819
.953
-.642
-.305
-.379
.078
.352
.571
Note: N =80, 40 males, 40 females; TAS = Toronto Alexithymia Scale; CM = Crowne
Marlowe Social Desirability Scale; STAIS = State Anxiety Inventory; STAIT = Trait
Anxiety Inventory; ICQ = Interpersonal Competence Questionnaire; FNE = Fear of negative
evaluation measure; HSQ = Humor Styles Questionnaire.
Analyses of RSA
As an outlier check, z-scores were calculated on the 20 one minute epochs. All zscores fell below the necessary cut off of 3.29, confirming a uniform data set. Table 4
displays the means and standard deviations for the RSA (ms1) data set. A 2 (gender) x 2 (low
SC, high SC) X 4 (baseline, observation, anticipation, recovery) x 5 (epochs) analysis of
variance (ANOVA) with repeated measures on the last two factors was conducted to test the
21
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hypothesis that the group that scored high on the ICQ would have greater vagal tone than the
group that scored low on the ICQ. Initial examination of the analysis indicated the sphericity
assumption was met for phase and epoch but not for the phase by epoch interaction; hence
the Greenhouse-Geisser correction was applied only to the phase by epoch results.
Table 4
Descriptive Statistics for the RSA (ms2)
Phase
Epoch
M
SD
Baseline
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
6.99
6.89
6.77
6.70
6.65
6.71
6.72
6.68
6.60
6.69
6.54
6.47
6.82
7.04
6.73
6.96
6.91
6.93
6.82
7.11
1.21
1.49
1.15
1.36
1.24
1.34
1.21
1.24
1.27
1.20
1.28
1.39
1.37
1.96
1.31
1.41
1.47
1.47
1.38
1.46
Observation
Anticipation
Recovery
Note: N =80, 40 males, 40 females.
Between- Groups Effects. The main effect of SC approached significance F( 1, 76) =
2.98, p < .10 rj2 = .04. Neither the main effect of gender, F(l, 76) = 0.26, rj2 = .01 nor the
gender by SC interaction was significant F(l, 76) = 0.33 rj2 = .01.
22
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Within-Groups Effects. The main effect of phase was significant F(3, 228) = 3.85, p
< .01, t]2 = .05. Figure 1 shows the overall pattern of RSA.
Follow up using pairwise
comparisons, adjusted with the Holms- Bonferroni correction to control for family wise
error, showed that RSA during anticipation (M = 6.72, SD = 0.21) was significantly lower
than that during recovery (M= 6.94, SD = .18) with a mean difference of 0.23. The mean
RSA during observation (M = 6.72, SD = .22) was significantly lower than that during
recovery with a mean difference of 0.27. There were no other significant mean differences
between the conditions. The main effect of epoch was not significant F(4, 912) = 0.42.
Figure 1
Main Effect of RSA (ms2)
7.00
6.90
6.80
<
6.60
6.50
6.40
Baseline
Observation
Anticipation
Recoveiy
23
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The main effect of phase was qualified by significant phase by SC, F(3, 228) = 2.91,
p < .05, tf = .04, and phase by epoch, F(1A\, 563) = 3.22, p < .01, ?/2 = .04, interactions.
Figure 2 shows the overall pattern of RSA as a function of SC. There was no significant
phase by gender interaction F (3, 228) = 0.68. The remainder of the three and four-way
interaction effects were not significant.
Figure 2
RSA as a Function of Social Competence
o...
7.00-
-Low SC
- High SC
,o-
"O
~cr
6.80-
<
S3
6.60-
6.40™
~
r
Baseline
i
;
n
Observation
i
Anticipation
;
i
Recovery
Phase
To gain clarity to where the significant differences lay in the phase X SC interaction,
follow ups using independent /-tests to compare groups at each level of phase were
conducted using the Holms-Bonferroni correction to control for family wise error. There was
a mean difference of 0.58 between the low SC group and the high SC group at anticipation
24
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
(phase 3), t(78) = 2.17, SEM = 0.27, = p <.05 with the low SC group having significantly
lower RSA than the high SC group. There were no significant group differences at baseline,
/(78) = 1.75, observation, /(78) = 2.00 and recovery /(78) = 0.37.
Analyses of Heart Rate
As an outlier check, z-scores were calculated on the 20 one minute epochs. All zscores fell below the necessary cut off of 3.29, confirming a uniform data set. Figure 3
displays the means for the heart rate data set. A 2 (gender) x 2 (low SC, high SC) X 4
(baseline, observation, anticipation, recovery) x 5 (epochs) analysis of variance (ANOVA)
with repeated measures on the last two factors was conducted to test the hypothesis that the
group that scored high on the ICQ would have differential cardiovascular reactivity than the
group that scored low. Initial examination of the analysis indicated the sphericity assumption
was not met (p < .001) for phase, epoch and the phase by epoch interaction; hence the
Greenhouse-Geisser correction was applied.
Between- Groups Effects. The main effect of gender was not significant F( 1, 76) =
2.56, rf = .03, nor was the main effect of SC F( 1, 76) = 0.49, t]2 = .01 and interaction
between gender and SC F(l, 76) = 0.52, rj2 = .01
Within-Groups Effects. The main effect of phase was significant F( 1.47, 112.03) =
119.99, p < .001, rj2 = .61. Follow up using pairwise comparisons, adjusted with the HolmsBonferroni correction, showed that mean HR during anticipation (M= 80.87, SD = 1.64) was
significantly higher than that during baseline, (M = 70.29, SD = 1.19), observation (M =
70.19, SD = 1.20), and recovery (M = 70.19, SD = 1.27) with mean differences of 10.59,
10.68, and 10.69, respectively. There were no significant mean differences between baseline,
observation, and recovery.
25
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Figure 3
Descriptive Statistics for the Heart Rate Data (beats per minute)
90.00
85.00
80.00
CQ
"5.00
70.00
65.00
Baseline
Observation
Anticipation
Recovery
Figure 4 displays the mean HR as a function of SC across the four phases. There were
significant phase by SC, F(1.47, 112.03) = 4.21, p < .05, rj2 = .05, and phase by epoch by
SC, F(5.57, 423) = 2.26, p < .05, rf- = .03 interactions. Knowledge of the significant main
effect of phase combined with an inspection of Figure 4, led to specific interaction contrasts
being conducted to provide a better understanding of whether the patterns of mean HR
change were different dependent upon the level of SC. Two single ^interaction contrasts
tested whether the slopes between observation (phase 2) and anticipation (phase 3) were the
same for low SC versus high SC and whether the slopes between anticipation (phase 3) and
recovery (phase 4) were the same for low SC versus high SC. There were significant
interaction contrasts between observation and anticipation, F(l,78) = 7.06, p <.05 and
anticipation and recovery, F(l,78) = 8.72, p <.05. Together, these two differential slopes
26
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
suggest that the high SC group reacted with a greater acceleration of HR during the
anticipation phase but recovered more quickly during the recovery phase than the low SC
group. To add greater clarity to the speed of recovery the significant three way interaction
(phase*epoch*SC) was followed up with one single ^interaction contrast. Figure 5 displays
the mean HR as a function of SC across the 20 epochs; a visual inspection of Figure 5
revealed a marked difference between SC groups during the anticipation phase.
Figure 4
Mean Heart Rate as a Function of Social Competence Shown by Phase
90.00"
•LowSC
- High SC
85 00-
;2
80.00"
0Q
t;
C3 75.00H
70.00"
f&—&™©
G~~Sr
to-**!
65.00"
i i i i i i i i i i i i i i i r i i i i
12 3 4 5 6 7 8 9 10111213 1415 1617181920
One Minute Interval Epochs
The interaction contrast that was conducted determined that the slope between epoch 12 and
epoch 13(this is between minute 2 and 3 in the anticipation phase) was significantly different
for the low SC versus high SC, F(l,78) = 4.96, p <.05, which showed that before three
minutes had elapsed the high SC group's mean HR was dropping much faster than the low
SC group. The source tables in Appendix G show the hand calculations and means of interest
for all the interaction contrasts.
The main effect of epoch was significant F (3.2, 243) = 20.39, p < .001, tf = .21 but
was not deemed meaningful to follow up since the main effect was qualified by the
significant phase by epoch by SC interaction. There were no significant epoch by SC, F (3.2,
243) = 0.49 and epoch by gender, F (3.2, 243) = 0.11 interactions. The epoch by gender by
28
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
SC, F (3.2, 243) = 0.62, and epoch by phase by gender by SC, F (3.2, 243) = 0.48, were not
significant.
Figure 6 displays the overall pattern of minute-by-minute mean HR changes as a
funct i o n of gender. There was a significant phase by gender, F(1.47, 112.03) = 4.11 ,p< .05,
t]2 = .05, interaction, which was followed up using a simple main effects test. There were
significant effects of gender during observation, F(l, 78) = 4.19, p < .05, tj2 = .05 and
anticipation, F(l, 78) = 4.09, p < .05, t/2 = .05, with females recording higher mean HR
across both conditions than males (observation f = 72.73, m = 67.85; anticipation f = 84.20,
m = 77.68). There were no significant effects of gender during baseline, F(l, 78) = 1.53, and
recovery, F( 1, 78) = 1.07. The phase by gender by SC interaction, F(1.47, 112.03) = 0.21,
was not significant.
Analyses of LF/HF Ratio
To reduce the variability in LF/HF ratio data set log transformations were conducted
using the lgl0(X + 3) formula based on Tabachnick and Fidell's recommendations (2007)
that if there is an original number in the data under one to add a numeric value to the lglO
formula. As an outlier check, z-scores were calculated on the 20 one-minute epochs. All zscores fell below the necessary cut off of 3.29, confirming a uniform data set. Figure 7
displays the means LF/HF ratio data set.
29
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Figure 6
Mean Heart Rate as a Function of Gender
90.00-
85.00-
S 80.00-
<5
na
•K 75.00-
70.00-
65.001 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 31 4 1 51 6 1 7 1 8 1 9 2 0
One Minute Interval Epochs
It should be noted that due to the log transformations, results must be interpreted with
caution. A 2 (gender) x 2 (low SC, high SC) X 4 (baseline, observation, anticipation,
recovery) x 5 (epochs) analysis of variance (ANOVA) with repeated measures on the last
two factors was conducted to test the hypothesis that the group that scored high on the ICQ
would have differential sympathovagal balance than the group that scored low. Initial
examination of the analyses indicated the sphericity assumption was not met for the epoch
effect but not for the phase effect and the phase by epoch interaction therefore the
Greenhouse-Geisser correction method was applied to the latter two analyses.
30
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
Figure 7
Descriptive Statistics for the Sympathovagal Balance (LF/HF Ratio log transformed)
0.75
g
0.70
,o
r/n
c3
&
bJj
O
dl 0.65
C-L-l
—3
0.60
0.55
Baseline
Observation
Anticipation
Recovery
Between- Groups Effects. The main effect of gender was significant F(l, 76) = 8.75,
p < .01, tj2 = .10, with males (M = .66, SD = .01) displaying higher overall sympathovagal
balance than females (M = .60, SD = .01). The main effect of SC was not significant, F(l,
76) = 2.99 nor was the gender by SC interaction F(l, 76) = 0.007.
Within-Groups Effects. The main effect of phase was significant F(3, 193) = 8.88,/? < .01, rj2
= .11.
Follow up using pairwise comparisons, adjusted with the Holms- Bonferroni
correction to control for family-wise error, showed that anticipation (M = 0.66, SD = 0.12)
was significantly different, at the p < .01 level, from baseline (M = 0.61, SD = 0.09),
observation, (M= 0.62, SD = 0.09), and recovery, (M= 0.63, SD = 0.10) There were no other
significant mean differences between the conditions.
The main effect of epoch was significant, F(4,304) = 2.94, p < .05, t]2 = .04, and it
was q u a l i f i e d b y t w o s i g n i f i c a n t i n t e r a c t i o n s , e p o c h b y p h a s e , F ( 9 , 7 0 4 ) = 2 . 2 9 , p < . 0 1 , rj 2 =
31
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
.03, and epoch by gender by SCMS, F(4,304) = 3.01,/? < .05, rj 2 = .04. There were no other
significant two way, three way, or four way interactions.
Complex comparisons were used to follow up the significant phase by epoch
interaction to determine whether the level of anticipation differed, at each epoch, from the
other three levels, baseline, observation, and recovery; in other words, to determine whether
the pattern of sympathovagal balance was different during the anticipation phase compared
to the other three phases. There were significant differences between anticipation and the
other three levels at epochs one, F(l, 79) = 33.23,/? < .001, rj2 = .30, two, F(l, 79) = 13.87,/?
< .001, rj2 = .10, and five, F(l, 79) = 14.44,/? < .001, tf = .16. There were no significant
differences between anticipation and the other three levels at epochs three, F(l, 79) = 0.08,
and four, F(l, 79) = 0.89. These results clarify how the patterns of sympathovagal balance
were not as stable during anticipation compared to baseline, observation, and recovery. The
significant three-way interaction, epoch by gender by SC was followed up by examining the
level of gender separately. Independent samples /-tests revealed no significant findings. This
was not unexpected given the high number of comparisons. The interaction was not followed
up in any other manner.
Humor as a Mediating Variable
To test the proposed hypothesis that humor is a mediating variable in the relationship
between SC and cardiovascular reactivity, bivariate correlations were first conducted using
the ICQ and the four dimensions of the HSQ. As well, because previous research (Martin et
al., 2003) supports the idea that men and women use humor in distinct manners; relationships
between SC and humor were investigated separately for each gender. Table 5 shows the
bivariate relationships between SC and the four styles of humor, affiliative, self-enhancing,
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aggressive and self-deprecating. For the males, significant positive relationships were
observed between the ICQ and the affiliative and self-enhancing styles of humor whereas
significant negative relationships were observed between the ICQ and the aggressive and
self-deprecating styles of humor. The results did not reveal any significant relationships
between the ICQ and the styles of humor for this female sample.
Next, bivariate correlations were conducted to determine whether there were any
relationships between styles of humor and HR. To do this, the baseline HR was considered a
tonic score of HR and HR change scores were calculated for observation, anticipation, and
recovery and considered as phasic scores. Table 6 shows the associations among the four
styles of humor and the phases of HR. For the males, during baseline, there was a significant
negative relationship between HR and self-enhancing humor; furthermore, during
observation, there were significant negative correlations between HR and the affiliative and
self-enhancing styles of humor and a significant positive correlation between the selfdeprecating style of humor and HR. For the females, during anticipation, there was a
significant positive correlation between HR and the self-enhancing style of humor and a
significant positive correlation between HR and the self-deprecating style of humor during
the recovery.
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Table 5
Associations among the ICQ, the four dimensions of the HSQ, and Gender
Gender
Male
Female
Style of Humor
ICQ
Affiliative
.468**
Self-enhancing
.317*
Aggressive
-.327*
Self-deprecating
-.450**
Affiliative
.011
Self-enhancing
.249
Aggressive
.029
Self-deprecating
-.048
Note: N =80, 40 males and 40 females. ICQ = Interpersonal Competence Questionnaire;
HSQ = Humor Styles Questionnaire. **/?<. 01; *p <.05 (two tailed)
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Table 6
Associations among the Four Styles of Humor and the Phases of Heart Rate
Gender
Styles of humor
Baseline
Observation
Anticipation
Recovery
Male
Affiliative
.060
-.436**
-.030
-.051
-.530**
-.400*
.042
-.271
Aggressive
.014
.099
.084
.210
Self-deprecating
-.108
.440**
-.157
.154
Affiliative
.025
-.051
.097
.212
Self-enhancing
-.086
-.053
.412**
.200
Aggressive
.027
.155
.199
.137
Self-deprecating
.068
.252
.076
.336*
Self-enhancing
Female
Note: N =80, 40 males and 40 females. **p <. 01; *p <.05 (two tailed)
DISCUSSION
This study examined cardiovascular activity as a function of social competence by
independently examining the influences of anticipating a socially provocative task on
respiratory sinus arrhythmia (RSA) and heart rate (HR). It is known that cardiovascular
activity is regulated, in part, by an increase in the activation in the sympathetic nervous
system (SNS), a decrease in the parasympathetic nervous system (PNS) or some interplay
between the two systems. This study independently examined the influence of the PNS
using power spectral analyses to decompose the variance in the overall heart period time
series into frequency bands, specifically high frequency for the RSA measure. Individuals
high in social competence maintained a higher, although not significantly, vagal tone
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(indexed by RSA) across three of the four tasks (baseline, observation, and recovery) than
the low social competence group; further, the
low social competence
group showed a
significant lower vagal tone compared to the high social competence group when preparing
for a socially provocative task (anticipation phase). These findings supported the original
hypothesis that individuals scored as high social competence with a valid social competence
measure would exhibit greater vagal tone than individuals scored as low social competence
during a stressful task. There were no significant gender differences in the RSA analyses.
Second, this study independently examined heart rate as a function of social
competence. The findings indicated that individuals scored as high social competence had
greater cardiac reactivity (indexed by HR) while anticipating a social anxiety provoking
event; at the same time, the high social competence group showed faster and more
substantial cardiac recovery than those scored as low social competence. There were no
directional hypotheses with the heart rate component of the study, as the main purpose of the
study was to examine RSA. There were significant gender differences, with females
consistently displaying a higher heart rate across all four conditions, and females had
significantly higher heart rate than males at observation and anticipation. The gender
findings are consistent with the literature with females typically having a higher heart rate
than males.
The results from the sympathovagal balance (indexed by LF/HF ratio) data, where
higher numbers indicate a greater relative SNS dominance, revealed that the sympathovagal
balance changed for the entire group while they were anticipating that they had to impress a
member of the opposite sex; In this study, the methodology relied on vicarious exposure to
the anxiety of others to induce a state of anticipatory anxiety in the current participants, this
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significant change in sympathovagal balance validated the methodology employed to induce
arousal.
The final purpose of the present study was to examine whether humor mediates the
relationship between social competence and cardiovascular activity. Affiliative and self
enhancing styles of humor were expected to have positive correlations with the social
competence measure whereas the aggressive and self-deprecating styles of humor were
expected to have negative correlations. There were no directional hypotheses as to how
humor would relate to cardiovascular activity and what the gender differences would be. For
the males, significant positive relationships were observed between the social competence
measure and the affiliative and self-enhancing styles of humor whereas significant negative
relationships were observed between the ICQ and the aggressive and self-deprecating styles
of humor. The results did not reveal any significant relationships between social competence
and styles of humor among women. These findings support Martin et al.'s (2003) theory that
men and women use humor in distinct manners.
Bivariate correlations were conducted to determine whether there were any
relationships between styles of humor and HR. For the males, during baseline, there was a
significant negative relationship between HR and self-enhancing humor. Furthermore, during
observation, there were significant negative correlations between HR and the affiliative and
self enhancing styles of humor and a significant positive correlation between the selfdeprecating style of humor and HR. The high social competence group had lower mean HR
during baseline and observation; the positive styles of humor are significantly associated
with these lower heart rates while a negative style of humor is associated with higher heart
rate (perhaps reflecting less social competence.). It may be that humor plays a role, for
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males, in social skill, which in turn may be influencing cardiovascular activity. For females
there was a significant positive correlation between HR and the self-enhancing style of
humor during anticipation and a significant positive correlation between HR and the selfdeprecating style of humor during recovery. The findings for the females are somewhat
harder to interpret because there were no significant relationships between the social
competence measure and the styles of humor.
The relationships between RSA and HR
It is important to note that, in this study, significant differences in cardiovascular
activity were found in a relatively homogeneous population of young adults. The knowledge
that there were any significant differences based on a measure of social competence is
exciting. Some of the underlying pathways that may give rise to these differential
cardiovascular patterns can be considered. Brosschot, Gerin, and Thayer (2006) proposed a
perseverative cognition hypothesis that states that rumination, worry, and anticipatory stress
can lead to prolonged states of activation in the cardiovascular and neuroendocrine systems.
This type of theory is not new in the stress literature; Selye's seminal work through the
1960's stated that physiological systems may remain in prolonged states of activation in
response to stress. Incomplete in Selye's model of stress were the psychological factors, such
as emotions and individual perceptions. Richard Lazarus, another forefather in the stress
literature, provided a greater depth of understanding with the inclusion of cognitive processes
in whether an individual perceives an event to be stressful or not. Still lacking from
Lazarus's model of stress is what may be occurring before what an individual identifies as
"the stressful event". The perseverative cognitive hypothesis proposes that stressors have the
potential for physiological activation in advance of any given stressor. To put this in a social
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context, an inability to dis-engage (ruminating) from a previous interpersonal interaction may
result in prolonged activation. Not detaching from these ruminative thoughts will reduce the
likelihood of any subsequent interactions occurring in a positive framework, thereby
increasing the likelihood that the individual will perceive that another stressful event
occurred. Further the authors point out, that much perseverative thinking occurs at a
relatively unconscious level. This type of model seems to be a good fit when contextualizing
stress within a social framework and explaining some of the results of this study.
Under normal physiological circumstances, it is thought that humans display an
inverse relationship between resting RSA and HR. One would anticipate then, that when the
high social competence group's HR increased that their RSA values would decrease;
however, this was not the overall pattern of results in this study. HR increased significantly
while RSA remained stable for the high social competence group; whereas, in the low social
competence condition, HR increased while RSA significantly decreased compared to the
high social competence group. To clarify, the high social competence group had a relative
higher degree of cardiac reactivity while they were anticipating a socially provocative event
compared to the low social competence group. What did not happen were significant changes
in HR between the two groups during any phase. Further, the high social competence group
recovered more rapidly within the same phase than the low social competence group. We
cannot conclude that the high social competence group had significantly higher HR than the
low social competence group while preparing for a socially provocative task; we can
conclude that the high social competence group's response to a socially provocative request
was at a higher level of intensity but recovery within that same phase was also at a greater
intensity relative to the low social competence group. The results did reveal that the low
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social competence group had significantly lower RSA while preparing for a socially
provocative event.
Applying the perseverative cognition hypothesis to explain these results may shed
some light as to the differences in the groups split on social competence. First, all the
participants were informed during the instructions phase of the study that they would be
asked to prepare for a task similar to what they observed during the observation phase so the
anticipatory phase did not come as a surprise to anyone. It is plausible that previous negative
social interactions influenced the low social competence group through all phases of the
study, resulting in a prolonged response across the entire study, which is reflected in the
higher resting HR at baseline, observation, and recovery. In contrast, the high social
competence individuals, who most likely had a higher sense of self-efficacy in a social
context, may have experienced less anticipatory stress until they were reminded by the
instructions that they had to prepare for a socially provocative event. Their intensity of
response was greater but within two minutes they may have begun using re-appraisal
strategies to prepare in a constructive manner for the task at hand. If this hypothesis is
plausible, then the low social competence group would not have had access to the same
resources (resulting from a cardiovascular system that has been activated for a longer period
of time) to engage in constructive thoughts as quickly. This would also account for why the
low social competence group had lower RSA scores through the entire study; their resources
were mobilized at a stable low-level intensity during the entire study.
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Social Competence and Respiratory Sinus Arrhythmia
It was hypothesized that during the anticipation of a stressful social task, the group
rated as high in social skill would exhibit greater vagal tone than the group rated as low
social skill. This prediction arose from the literature linking psychiatric disorders such as
anxiety and depression to lower resting vagal tone (Brosschot, Van Dijk, & Thayer, 2007).
As well, the seminal work of Eisenberg et al. (1998) has resulted in substantial literature
linking social competence to better vagal tone in children. There is evidence that individuals
with a greater capacity for cardiac vagal tone, a physiological index of the parasympathetic
nervous system's influence on the heart, calm down faster and respond quicker to stimuli
(Bosch, Riese, Ormel, Verhulst, & Oldehinkel, 2009; Brosschot et al.; Eisenberg et al.,
1998). This study revealed that the low social competence group had a decrease in RSA
while under challenge while the high social competence group maintained a stable RSA.
Maintenance of RSA under challenge would suggest that the high social competence group
may be better at self-regulating their emotional response to stress, or have a faster ability to
employ cognitive processes to cope with the task at hand, or a combination of emotional
regulatory and cognitive processes.
Porges (1992) developed a theoretical basis for the link between cardiac vagal tone
and attention; he proposed that higher resting levels of cardiac vagal tone were associated
with improved attentional capacity and adaption to the environment. It was shown in school
age children, that perceptual capacity was positively associated with higher resting RSA
(Suess, Porges, & Plude, 1994). Hansen, Johnsen, and Thayer (2003) found that a group of
sailors with higher heart rate variability displayed better performance on working memory
and continuous performance tests than those with lower heart rate variability. These
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attentional qualities may allow for an individual to attend the most salient features of any
given situation and adapt more effectively to the current environment. According to Ewart et
al. (2002), a socially competent individual has the skills necessary to modify their actions
and pursue their achievable goals. This definition of social competence implies that an
individual will have a superior ability to attend to the stressor at hand. The findings from the
present study provide support for the relationship between social competence and vagal tone.
The high social competence group had higher RSA scores, which according to Porges, is
associated with improved attentional capacity across all tasks than the low social competence
group.
A function of parasympathetic influence is to inhibit sympathetic arousal, which may
result in a calmer state thereby allowing an individual to employ other functioning
mechanisms such as cognitive re-appraisal. Pieper and Brosschot (2005) reported that the
intensity of a stress response is linked to the level of controllability that an individual can
exert over a certain situation. A more relaxed state resulting from the higher levels of RSA,
as observed in this sample's high social competence group, may be a determinant of
successful social networking by allowing for engagement, signals of cooperative and
approachable behaviors, which Auerbach et al. (2001) define as social competence.
Conversely, Thomas et al. (2004) reported that individuals, who were unable to negotiate
problematic situations competently, experienced higher levels of suspicion which then
manifested into stable negative social environments. Dampened vagal tone, as observed in
the low social competence group, may have deleterious effects on social behaviours with the
trajectory being one of poor resolution during interpersonal engagements.
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This study did not find any gender differences in RSA. These results are inconsistent
with the broader literature on gender and RSA. De Meersman and Stein, (2007) in a review
on RSA, reported that men typically have higher RSA scores than women in the over 30 age
group but age differences disappear after 50. Umetani, Singer, McCraty, and Atkinson
(1998) reported that the female population ages 10-29 have lower RSA scores than their male
counterparts. A main difference between this study and the other studies reviewed was the
time frame used to collect the data. The other studies used 24 ambulatory measures unlike
this study where the collection period lasted 20 minutes. At rest, the parasympathetic nervous
system becomes most influential; a 24 hr time frame that includes sleep may contribute to
significant gender differences in RSA compared to a 20 minute time frame during the
daytime. Another potential explanation for the lack of gender differences is the sample size
in this study. Typically, HRV studies are large with well over 100 participants, in
comparison to this study's 80 participants. Perhaps gender differences are a function of
sample size as opposed to true gender differences since there was no effect size observed in
this sample.
Vagal tone is only one component of multi-layered behavioral systems; this presents
potential complications to the conceptual development of emotional regulatory capacity
being an index for RSA Berntson et al. (2007) reported that RSA is multiply determined. A
number of determinants such as drug regimes, activity levels, and disease states (i.e.,
hypertension) may confound the results. In this study the groups were screened for a host of
known potential confounds. This study employed a between-groups design and preliminary
analyses revealed that any potential confounds were evenly distributed between the groups.
This does not mean that the study sample did not have the some of the potential confounds
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that Berntson et al. warn against, but it does mean that the potential confounds were evenly
distributed across both groups. Hence, the findings from this study make for a stronger
argument for emotional regulatory capacity being an index for RSA.
Social Competence and Heart Rate
Goldstein, Fink, and Mettee (1972) quoted Schachter and Singer's (1962) assertion
"that emotion is a function of a state of physiological arousal and cognition appropriate to
this state of arousal (p. 41)". Social competence can be conceptualized as linked to this
interplay between arousal and cognitions. Successful navigation in the social world requires
that people not only process emotional information, but also intelligently manage their
emotional state by simultaneously employing cognition. The purpose of the present study
was to determine relationships between social competence and cardiovascular activity. The
findings indicated that people who were rated high social competence had lower, albeit not
significantly lower, heart rate during a state of non arousal than the low social competence
group.
Yet, when anticipating a provocative social task, those rated as
high social
competence responded with a significantly greater magnitude initially but were able to
employ some coping mechanism to reduce their heart rates' at a faster pace than the low
social competence group.
Typically, humans want to be viewed in a favorable light. Through social
interactions, individuals develop skill sets that act as aids or barriers to navigating the social
world. Arguably the high social competence group in this study had a more positively
developed set of social skills. According to Ewart et al. (2002), a socially competent
individual has the ability, by moderating their emotions and actions, to choose and pursue
their desirable and achievable interpersonal goals. The finding of significantly enhanced HR
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recovery during anticipation of social anxiety among participants high in social competence
lends support to Ewart et al.'s characterization of social competence. Although the high
social competence group had greater cardiovascular reactivity, they were also more adept at
regulating their initial emotional response, thereby reducing their heart rate. Ewart and
Jorgenson (2004) expanded the model of social competence by dichotomizing personal goals
into self-directed goals and other-directed goals. Self-directed goals are a reflection of an
individual's desires for self-improvement with an internal focus, whereas other-directed goals
are a reflection of an individual's focus on others for improvement and change, or an external
focus. Perhaps, the ability to quickly modulate heart rate through cognitive processes is a
behavioral component more typical of self-directed goals.
Phase Effects of RSA, HR, and LF/HF
It is known that the intensity of a stress response is linked to the level of
controllability that an individual can exert over a certain situation (Pieper & Brosschot,
2005). In other words, the lesser the controllability the greater the amplitude of the response
and the susceptibility to develop stress related illnesses. In the literature, the reactivity model
has been used extensively to explain how stress is a determinant of cardiovascular diseases.
The reactivity model suggests that an increased cardiovascular activity, resulting in response
to stressors; individuals with a tendency to have large and/or frequent responses to stress may
experience physiological changes in their vasculature. Schwartz, Gerin, Davidson, Pickering,
Brosschot, Thayer, et al. (2003) critiqued the reactivity model stating that while animal
studies have been fruitful in supporting a reactivity model, human studies have not been
replicated with consistency. Schwartz et al. stated that methodological issues such as
inability to replicate chronic daily events in the laboratory setting, overlooking the
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importance of the length of the stress response, and disregard for anticipation of a stressor are
potential problems of a simple reactivity model. Rather, Schwartz et al. suggest the need for
methodological frameworks that induce qualitatively different components of what is defined
as a stressor.
This study developed a novel method to induce anticipatory stress to address
Schwartz et al.'s (2003) concerns about the gap in the literature. Vicarious exposure to stress
to induce anticipatory physiological arousal came out of the social anxiety literature that
purports that human beings are typically motivated to present themselves in a favorable light.
Christensen and Stein (2003) reported that self-perceptions play a greater role in the fear of
negative perceptions than do other perceptions. The knowledge that self-evaluative processes
are a prominent feature of social anxiety afforded us the opportunity to present videos of
others in a socially provocative task with the expectation that when individuals were asked to
prepare for the same task that they would be fearful that they would act in a manner that
could be humiliating or embarrassing and physiological arousal would occur. There were
significant main effects of phase for all three physiological measures utilized in this study,
RSA, HR, and LF/HF. The results, with significant phase effects across all three
physiological measures, suggest that this methodology is a valid manipulation.
Social Competence, Humor and Heart Rate
The finding of significant relationships between humor and social competence was
not surprising. Kuiper, McKenzie, & Belanger (1995) found that individuals with a greater
sense of humor were more likely to cognitively re-frame a stressful event and put greater
emotional distance from the stressor. Kuiper et al. utilized a different measure of humor than
in this study. These effects could be modulated by the different styles of humor that were
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used in this study with the positive styles of humor possibly replicating Kuiper et al.'s
findings (for males, higher social competence was positively related to affiliative and selfenhancing humor) and the negative styles not being related to positive re-framing. Cann, and
Calhoun, (2001) reported that good sense of humor is associated with socially desirable
characteristics. Yip and Martin (2006) found trait cheerfulness positively related to social
competence while trait bad mood was negatively related to social competence.
These findings support the notion that men and women use humor differently (Martin
et al. 2003). For men, there were significant relationships between social competence and the
styles of humor; whereas, there were no significant relationships between social competence
and the styles of humor among women. For the males only, significant positive relationships
were observed between social competence and the affiliative and self-enhancing styles of
humor whereas significant negative relationships were observed between social competence
and the aggressive and self-deprecating styles of humor. Humor is a distinct communication
medium as its purpose is to undermine the serious component of the intended message.
Sarcasm then, may be considered socially acceptable when it is communicated as humor.
Martin et al. consider sarcasm to be an aggressive style of humor, which belittles others (or
the self) under the veil of amusement. Ford and Ferguson (2004) reported that disparagement
styles of humor have the potential to denigrate the target while simultaneously stifling
challenge or criticism. The findings found that the aggressive and self-deprecating styles of
humor were negatively correlated with social competence for males. Perhaps these negative
uses of humor may act as releasers for aggression and are more closely related to hostility
than previously thought.
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The question then becomes what purpose does humor serve in interpersonal
relationships? Ford, Boxer, Armstrong, and Edel (2007) found that when males were allowed
to release sexist forms of humor, they displayed more negative, prejudicial behaviours
towards women than in a neutral condition. Ford et al. proposed that for men who have
antagonistic attitudes, aggressive styles of humor may allow them to express their hostility
while remaining within acceptable social norms. Essentially, the authors argue that
aggressive forms of humor may be justifying a wider range of negative responses towards
others with little or no backlash. However, the findings from this study, with social
competence being negatively correlated to both forms of negative humor, would not support
the view that negative forms of humor have no social consequences. Instead, the results from
this study reveal the potential for fewer meaningful social interactions combined with the
potential for negative cardiovascular outcomes.
Szabo, Ainsworth, and Danks (2005) found that watching a humorous video reduced
state anxiety, measured by a validated self-report tool, and overall negative affect at an
equivalent rate to physical exercise. Kuiper and Nicholl (2004) found that those scoring
higher on various humor measures reported having higher perceptions of their own physical
health. The existing research provides us with some answers to the many components of
humor; however, missing in the research is how some styles of humor may act as a stressbuffer while other styles of humor may be stress-enhancing in terms of cardiovascular
functioning. Given the growing interest in positive psychology (e.g., humor as an adaptive
feature) and the increased recognition that many humans reside in multi-cultural/multireligiosity societies, it would serve the research to examine how and why the physical body
(a pan-cultural feature of our species) plays a role in humor production. These immediate
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psychological benefits of humor make it a worthy construct to examine in relationship to
social skill and cardiovascular activity. The results from this study provide an entry point for
examining styles of humor in the context of cardiovascular health.
LIMITATIONS
Despite these novel findings, it is important to recognize that the associations found
here came from observations within a laboratory setting using a moderately homogenous
group. For further validation this study should be repeated in various social settings with a
wider range of individuals in order to permit generalizability of these results. In other words,
it still needs to be determined whether the interactions between cardiovascular activity and
social competence would occur in the same way during everyday interpersonal interactions.
Further, since the ICQ is a global measure of ability across interpersonal task domains, it
would be valuable to determine whether an induction of emotional states such as sadness,
anger, or joy (as opposed to anxiety) would interact differentially with cardiovascular
activity. This study examined the relationship between social competence and cardiovascular
activity. What it did not examine was how underlying cognitions may have influenced the
physiological response. For instance, it is unclear what the participants were actually
thinking about in the six minutes of preparation time. It would be valuable information to
know whether the high social competence group employed a differential coping strategy such
as reappraisal in relation to the low social competence group.
Grossman and Taylor (2007) reported that respiration rate and depth can influence
RSA independent of vagal tone. Their findings are in accordance with the recommendations
set forth by the Task Force (1996) to control for respiration rate. Currently there is
considerable debate in the literature on the necessity to include respiratory measures when
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evaluating RSA. Houtveen, Rietveld, and De Gues (2002) examined differences between
studies that measured respiratory parameters (rate and depth) and studies similar to this one
that did not measure respiratory parameters. Concerning RSA outcomes, Houtveen et al.
found that there were strong correlations between both types of studies. There has been some
consensus that assessments of RSA are less likely to be confounded by respiratory measures
when there is no physical load placed on participants (Oveis, Cohen, Gruber, Shiota, Haidt &
Ketlner, 2009; Houtveen et al., 2002). This study did not control for respiration rate; as such,
this introduces a potential confound in the findings. Likely, as there was no physical
movement during this study and it was a within-groups design, which would have lessened
the overall variability, respiration parameters would not account for the changes in RSA in
the low social competence group while they were preparing for a socially provocative event.
However, controlling for respiration parameters in a future study would be a worthy
endeavor.
Finally, a possible limitation in the findings may be that some of the participants had
consumed caffeine and/or alcohol prior to the physiological testing; as such, these known
confounds may be accounting for some of the variability found in the study. However, there
were no significant between-groups differences found on these measures, meaning that any
variance due to caffeine and/or alcohol was equally distributed between the high and low
social competence groups.
IMPLICATIONS
Applying the results from this study provides an explanation for how deficits in social
skills may be determinants for cardiovascular diseases. The results from this study showed
that in early adulthood individuals rated as low on a social competence measure experience
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vagal suppression while anticipating a socially provocative event in a laboratory setting.
While laboratory settings have been criticized for an inability to generalize to a larger
population, for this study there is no motivation for a laboratory setting to be more
provocative than a genuine social encounter. Therefore, vagal suppression in an individual
with less social skill may well disadvantage that individual with a reduced ability to respond
appropriately in a social context. Over time, poor resolution in a social context, may prevent
an individual from developing skills within any of the five domains of the social competence
measured by the ICQ, negative assertion, conflict management, emotional support,
disclosure, or initiating relationships. A deficit in any of these domains will likely reduce the
success in other components of social competence. Consistent with this supposition,
Herzberg et al., (1998) found that inability to provide emotional support was a risk factor for
interpersonal stress. If vagal suppression, as found in this study, is a stable feature of low
social competence, which still needs to be determined, this group of individuals would be at
a continual deficit to respond to the interpersonal demands, which may result in heightened
arousal and a trajectory of poor cardiovascular health as a consequence.
While the results did not show significant group differences in heart rate between the
baseline, observation and recovery phase, it is still important to discuss the potential clinical
applications of this study. Figure 4 shows that the resting heart rate for the group scored as
high social competence is approximately three beats per minute lower than the low social
competence group. Over the period of 24 hours if resting heart was maintained, the low
social competence group's hearts would beat approximately 4000 more times than the high
social competence group. It would be valuable to test the group differences over time, both
for a 24 hr ambulatory measure and in the context of longitudinal studies. By speculating that
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social competence is a stable feature it may suggest a direct pathway to an overworked heart
in the low social competence group.
The potential that social competence, using a simple self-report measure, could be
used as a valid indicator for cardiovascular health is exciting. This has important implications
in social development and possibly in the prevention of disease states. Behavioral skills can
be modified using various strategies. A person may be able improve on emotional regulatory
processes, which in turn, may increase their success during interpersonal interactions. Thus,
it may be possible to heighten a person's social competence over time, which may provide a
protective mechanism against cardiovascular diseases.
52
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Appendix A
Interpersonal Competence Questionnaire (ICQ)
Please rate the extent to which you are comfortable with the following statement by circling
the corresponding number.
1 = I am poor at this; I feel so uncomfortable and unable to handle this situation, I'd avoid it
if possible.
2 = I am only fair at this; I'd feel uncomfortable and would have lots of difficulty handling
the situation.
3 = I am okay at this; I'd feel somewhat uncomfortable and have some difficulty handling the
situation.
4 = I am good at this; I'd feel quite comfortable and able to handle the situation
5 = I am extremely good at this; I feel very comfortable and could handle the situation very
well
1. Asking or suggesting to someone new that you get together and do something, e.g., go
out together.
1
2
3
4
5
2. Telling a companion you don't like a certain way he or she has been treating you.
1
2
3
4
5
3. Revealing something intimate about yourself while talking with someone you're just
getting to know.
1
2
3
4
5
4. Helping a close companion work through his or her thoughts and feelings about a major
life decision, e.g., a career choice.
1
2
3
4
5
5. Being able to admit that you might be wrong when a disagreement with a close
companion begins to build into a serious fight.
1
2
3
4
5
6. Finding and suggesting things to do with new people whom you find interesting and
attractive
1
2
3
4
5
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7. Saying "no" when a date/acquaintance asks you to do something you don't want to do.
1
2
3
4
5
8. Confiding in a new friend/date and letting him or her see your softer, more sensitive side.
1
2
3
4
5
9. Being able to patiently and sensitively listen to a companion "let off steam" about outside
problems s/he is having.
1
2
3
4
5
10. Being able to put begrudging (resentful) feelings aside when having a fight with a close
companion.
1
2
3
4
5
11. Carrying on a conversation with someone new whom you think you might like to get to
know.
1
2
3
4
5
12. Turning down a request by a companion that is unreasonable.
1
2
3
4
5
13. Telling a close companion things about yourself that you're ashamed of.
1
2
3
4
5
14. Helping a close companion get to the heart of the problem s/he is experiencing.
1
2
3
4
5
15. When having a conflict with a close companion, really listening to his or her complaints
and not trying to "read" his/her mind.
1
2
3
4
5
16. Being an interesting and enjoyable person to be with when first getting to know people.
1
2
3
4
5
17. Standing up for your rights to a companion that is neglecting you or being inconsiderate.
1
2
3
4
5
18. Letting a new companion get to know the "real you".
1
2
3
4
5
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19. Helping a close companion cope with family or roommate problems.
1
2
3
4
5
20. Being able to take a companion's perspective in a fight and really understand his or her
point of view.
1
2
3
4
5
21. Introducing yourself to someone you might like to get to know (or date).
1
2
3
4
5
22. Telling a date/acquaintance that he or she is doing something that embarrasses you.
1
2
3
4
5
23. Letting down your protective "outer shell" and trusting a close companion.
1
2
3
4
5
24. Being a good and sensitive listener for a companion who is upset.
1
2
3
4
5
25. Refraining from saying things that might cause a disagreement to build into a bigger
fight.
1
2
3
4
5
26. Calling or texting a new date/acquaintance to set up a time to get together and do
something.
1
2
3
4
5
27. Confronting your close companion when he or she has broken a promise.
1
2
3
4
5
28. Telling a close companion about the things that secretly make you feel anxious or afraid.
1
2
3
4
5
29. Being able to say and do things to support a close companion when s/he is feeling down.
1
2
3
4
5
30. Being able to work through a specific problem with a companion without resorting to
global accusations (" you always do that")
1
2
3
4
5
31. Presenting good impression to people you might like to become friends with (or date).
1
2
3
4
5
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32. Telling a companion that he or she has done something to hurt your feelings.
1
2
3
4
5
33. Telling a close companion how much you appreciate and care for him or her.
1
2
3
4
5
34. Being able to show genuine empathetic concern even when the companion's problem is
uninteresting to you.
1
2
3
4
5
35. When angry with a companion, being able to accept that s/he has a valid point of view
even if you don't agree with that view.
1
2
3
4
5
36. Going to parties or gatherings where you don't know people well in order to start up new
relationships.
1
2
3
4
5
37. Telling a date/ acquaintance that he or she has done something that made you angry.
1
2
3
4
5
38. Knowing how to move a conversation with a date/acquaintance beyond superficial talk to
really get to know each other.
1
2
3
4
5
39. When a close companion needs help and support, being able to give advice in ways that
are well received.
1
2
3
4
5
40. Not exploding at a close companion (even when it is justified) in order to avoid a
damaging conflict.
1
2
3
4
5
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Appendix B
Fear of Negative Evaluation (FNE)
Answer the following questions as true or false
I.1 rarely worry about seeming foolish to others
2.1 worry about what people will think of me even when I know it doesn't make any
difference.
3.1 become tense and jittery if I know someone is sizing me up.
4.1 am unconcerned even if I know people are forming an unfavorable impression of me.
5.1 feel very upset when I commit some social error.
6. The opinions that important people have of me cause me little concern.
7.1 am often afraid that I may look ridiculous or make a fool of myself.
8.1 react very little when other people disapprove of me.
9.1 am frequently afraid of other people noticing my shortcomings.
10. The disapproval of others would have little effect on me.
II. If someone is evaluating me I tend to expect the worst.
12.1 rarely worry about what kind of impression I am making on someone.
13.1 am afraid that others will not approve of me.
14.1 am afraid that people will find fault with me.
15. Other people's opinions of me do not bother me.
16.1 am not necessarily upset if I do not please someone.
17. When I am talking to someone, I worry about what they may be thinking about me.
18.1 feel that you can't help making social errors sometimes, so why worry about it.
19.1 am usually worried about what kind of impression I make.
20.1 worry a lot about what my superiors think of me.
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21. If I know someone is judging me, it has little effect on me.
22.1 worry that others will think I am not worthwhile.
23.1 worry very little about what others may think of me.
24. Sometimes I think I am too concerned with what other people think of me.
25.1 often worry that I will say or do the wrong things.
26.1 am often indifferent to the opinions others have of me.
27.1 am usually confident that others will have a favorable impression of me.
28.1 often worry that people who are important to me won't think very much of me.
29.1 brood about the opinions my friends have about me.
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Appendix C
Humor Styles Questionnaire (HSQ)
Please indicate the extent to which you agree or disagree with each statement by circling the
appropriate number.
1.
I usually don't laugh or joke around much with other people.
1
2
3
strongly
disagree
moderately
disagree
mildly
disagree
2.
4
5
neutral
mildly
agree
6
moderately
agree
7
Strongly
agree
If I am feeling depressed, I can usually cheer myself up with humor.
2
3
4
5
6
7
6
7
If someone makes a mistake, I will often tease them about it.
2
3
4
5
I let people laugh at me or make fun at my expense more than I should.
2
3
4
5
6
7
I don't have to work very hard at making other people laugh, I seem to be a naturally
humorous person.
2
3
4
5
6
7
Even when I'm by myself, I'm often amused by the absurdities of life.
2
3
4
5
6
7
6
7
People are never offended or hurt by my sense of humor.
2
3
4
5
I will often get carried away in putting myself down if it makes my family or friends
laugh.
2
3
4
5
6
7
I rarely make other people laugh by telling them funny stories about myself.
2
3
4
5
6
7
If I'm feeling upset are unhappy I usually try to think of something funny about the
situation to make myself feel better.
2
3
4
5
6
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7
11.
When telling jokes are saying funny things, I am usually not very concerned about
how other people are taking it.
1
12.
2
3
4
5
6
7
I often try to make people laugh or accept me more by saying something funny about
my own weaknesses, blunders, or faults.
1
13.
2
3
4
5
6
7
I don't like it when people use humor as a way of criticizing or putting someone
down.
1
14.
2
3
4
5
6
7
5
6
7
5
6
7
I don't often say funny things to put myself down.
1
15.
2
3
4
I usually don't like to tell jokes or amuse people.
1
16.
2
3
4
If I'm by myself and I'm feeling unhappy, I make an effort to think of something
funny to cheer myself up.
1
17.
2
3
4
5
6
7
Sometimes I think of something that is so funny that I can't stop myself from saying
it, even if it is not appropriate for the situation.
1
18.
2
3
4
5
6
7
I often go overboard in putting myself down one and making jokes while trying to be
funny.
1
19.
2
3
4
5
6
7
4
5
6
7
6
7
I enjoy making people laugh.
1
20.
2
3
If I'm feeling sad or upset, I usually lose my sense of humor.
1
21.
2
3
4
5
I never participate in laughing at others even if all my friends are doing it.
1
22.
2
3
4
5
6
7
When I am with friends or family, I often seem to be the one that other people make
fun of or joke about.
1
23.
2
3
4
5
6
7
5
6
7
I don't often joke around with my friends.
1
2
3
4
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24.
It is my experience that thinking about some amusing aspect of the situation is often a
very effective way of coping with problems.
1
25.
2
3
4
5
6
7
If I don't like someone, I often use humor or teasing to put them down.
1
26.
2
3
4
5
6
7
If I am having problems or feeling unhappy, I often cover it up by joking around, so
that even my closest friends don't know how I really feel.
1
27.
2
3
4
5
6
7
I usually can't think of witty things to say when I'm with other people.
1
28.
2
3
4
5
6
7
I don't need to be with other people to feel amused; I can usually find things to laugh
about even when I'm by myself.
1
29.
2
3
4
5
6
7
Even if something is really funny to me, I will not laugh or joke about it if someone
will be offended.
1
30.
2
3
4
5
6
7
Letting others laugh at me is my way of keeping my friends and family in good
spirits.
1
31.
2
3
4
5
6
7
5
6
7
I laugh and joke a lot with my closest friends.
1
2
3
4
32. My humorous outlook on life keeps me from getting overly upset or depressed about
things.
1
2
3
4
5
6
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7
Appendix D
General Health Form
We would like to start the survey by getting a sense of who you are:
Name:
Height:
Date of Birth (Month/Day/Yr):
Weight
Gender:
M
F
Mailing Address:
Relationship Status:
Rural
Hometown region:
or
Urban
Have you consumed caffeine in the past 2 hrs? If yes what?
Have you consumed alcohol in the past 24 hrs?
Ethnicity:
Number of Years in University:
Please answer the questions on this form to the best of your ability. Remember that the
information you provide will be treated as strictly confidential.
Medical History Checklist:
Please review each of the following items and place a checkmark beside any that you have
experienced (to the best of your knowledge):
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
Rheumatic fever
Heart Murmur
High Blood Pressure
High Cholesterol
Heart Attack
Heart Operations
Diabetes (diet or insulin dependent)
Epilepsy
Varicose Veins
Disease of Arteries
Emphysema, Pneumonia,
Asthma, Bronchitis
(_)
(_)
(_)
(_)
(_)
(_)
(_)
(_)
(_)
(_)
(_)
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12.
13.
14.
15.
Back Injury
Drug Reaction
Nervous or Psychiatric Difficulty
Other (describe on back)
(_)
(_)
(_)
(_)
Family Health Problems:
Indicate below whether anyone in your immediate family (grandparents, parents, sibling) has
experienced any of the following problems.
Don't
Don't
Yes
Know
No
Know
No
Yes
1. Heart Attack
2. High Blood
Pressure
3. Stroke
4. High Cholesterol
(J
o
o
O
(J
(J
o
o
o
o
o
o
5. Diabetes
6. Congenital Heart
Disease
7. Heart Operations
8. Other
(describe on back)
o
o
o
o
o
o
(J
o
o
(_)
o
o
Present Health:
List below any current health problem(s) you may be experiencing:
Medications:
List below any medications you are currently taking, or have taken in the past month; these
include vitamins.
Symptoms:
Indicate below whether you have experienced any of the following symptoms in the last
week, or last year.
Last
Last
Last Last
Week
Year
Week Year
6.
Fatigue
16.
Irregular heart beat
(J
o
o
o
Cough
up
blood
7.
17.
Chest pain
(J
o
o
o
8.
Back pain/injury
18.
Shortness of breath
(J
(J
o
o
Leg
pain/injury
9.
Persistent cough
19.
(J
o
o
o
Dizziness
10.
Wheezing
(asthma)
20.
(J
(J
(J
o
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Have you undergone a physical examination by your physician in the past year? Yes
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Activity Level:
During the last week how many times did you do any of the following exercises, sports or
recreational activities?
Activity
# of times in last
week
Approximate length each time (1-15
min, 16-30 min,
31 -60 min or >60 min)
Walking (include to and from
work/school)
Jogging or running
Calisthenics
Bicycling (include to and from
work/school)
Vigorous Dancing
Skating
Skiing (downhill or cross
country)
Racquet Sports
Team Sports
Golf
Swimming
Other:
Smoking History:
Do you currently smoke cigarettes daily?
Yes
No
If yes,
How many cigarettes do you smoke on an average day?
per day.
At what age did you start smoking cigarettes daily?
years old.
What brand of cigarettes do you normally smoke?
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Alcohol Consumption:
Do you currently drink?
Yes
No
If yes,
• One standard unit of alcohol is equivalent to 1 bottle of beer, or one small glass of
wine, or 1 oz of hard liquor.
On average, how many standard units of alcohol do you consume?
Per Month
Per Week
Menstruation Cycle: (applies to female participants only)
In order to prevent differences in hormonal events from affecting the physiological data
being collected, it is necessary for female participants to be observed in this experiment
during only the luteal phase of their menstrual cycle. Most menstrual cycles last about 28
days starting with the first day of one menstrual period and ending with the first day of the
next menstrual period. The luteal phase takes place between day 15 and day 28.
To calculate your own luteal phase, count the first day of your next period as day one and
continue counting each day until you get to day 15. The 15th day after the first day your
period begins is the first day of the luteal phase. The luteal phase goes from the 15th day and
then ends on the 28th day, or, when your next period begins.
When will the first day of your next period be?
Fifteen days following this day will be the start of the luteal phase. The luteal phase will then
last for approximately the next 12 days. Your experimental appointments should be
scheduled only during those12 days. Remember all information recorded on these sheets
remains completely confidential. (The female research assistant will help you calculate
your luteal phase. All you need to do is to figure out when the first day of your next
period will be.)
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Appendix E
Consent Form
Purpose and Objectives of the Study: The purpose of this study is to examine how people's
cardiovascular systems (heart-rate) respond during various sensory and social tasks.
Possible Benefits: The benefit to you is the opportunity to participate in psychophysiology
research and to learn about your own physiological reactions during challenging tasks.
Procedure: In this study, you will complete three questionnaires, one on your general health,
one on how you use humor in your daily life and a questionnaire about how you think others
evaluate you. Next, you will be seated in a reclining chair and have three electrodes attached
to you, two across your chest and one on your leg. These electrodes will be connected to a
physiological recording device that continuously records your heart beat while you engage in
different tasks. You will go through four tasks. First, you will listen to an audio recording of
an individual talking, And then you will observe videos of people engaging in an
interpersonal task. Next, we will ask that you prepare for and engage in the same task. The
entire study will take approximately
Risks: There are no physical risks to you from taking part; the recording equipment is safe
and designed so that there is no chance of you being harmed. There are no known
psychological risks, although it is possible that the tasks may cause you some momentary
anxiety or social discomfort.
Withdrawal from the study: You are under no obligation to participate in this study, and once
the study has begun, you may terminate your participation at any time without penalty and
your data will be destroyed.
Confidentiality and Anonymity: The data you provide will be confidential and will remain
strictly anonymous. Data collected are stored on a secure computer and/or in locked rooms
while unattended. In the data-set, you will be identified only by a number; no data are
referenced with participant names. Any report on the study will present only grouped or
anonymized data. Dr. K. Prkachin, will retain the data indefinitely. Dr. K. Prkachin and other
qualified members of his research team may periodically access parts of the data collected
today.
Use: The data collected is to be used for Sherri Tillotson's Master's thesis. It is possible that
some or all of the data may be published in scientific journals and/or at conferences. In such
cases, no information that would allow you to be identified will be presented.
Questions: Questions concerning this study can be directed to Sherri Tillotson at
holm@unbc.ca or 250-564-4441. Concerns regarding this study may be directed to the
Office of Research (UNBC), 250-960-5820, reb@,unbc.ca or Dr. Ken Prkachin, 250-9606633, kmprk@unbc.ca.
I,
, have read the above description and agree
to participate. A copy of this form has been given to me for my records. I understand that I
am free to withdraw from this study at any time without penalty of any type.
Signature
Date
Researcher
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Appendix F
Is Social Competence a Protective Mechanism against Cardiovascular Diseases?
Primary Researcher: Sherri Tillotson
Project Supervisor: Dr. Ken Prkachin
Information Debriefing Sheet
Thank you for participating in one of the Psychophysiology Lab's research studies.
The purpose of this research is to investigate social abilities and characteristics and
their role in stress responses. Research has shown that stress contributes to increased risk of
cardiovascular disease, and other chronic illnesses, partly due to increased chronic
physiological arousal (e.g., higher blood pressure). Individuals with certain social and
personal characteristics may have an ability to negotiate stressful situations with greater
satisfaction and achieve their goals more easily than others. There is reason to believe that
these characteristics also affect the physiological processes that occur during stress. As a
result, some people may experience fewer stress-related experiences over time and be less
susceptible to chronic illnesses such as cardiovascular disease.
In order to study how you respond to stress, we had to mislead you by leading you to
believe that you would have to go through the same task as the people you saw in the videos.
We had to do this in order to stimulate in you the appropriate psychological and
physiological anticipatory states and in order to stimulate your coping activity. We expected
that it would be stressful for you and the effects of that stress are what we are interested in.
As part of this study we are also interested in how humor might be a helpful coping
technique. There is evidence linking types of humor to maladaptive health outcomes and we
are interested in whether this might work through changes in the variability of the heart rate
(Lefcourt, Davidson, Prkachin, & Mills, 1997; Martin, Puhlik-Doris, Larsen, Gray, & Weir,
2003)
As you can probably appreciate, the deception that we used is crucially
important for the study to be realistic and successful. Consequently, we ask that you do
not talk about this aspect of the experiment with other potential participants. Speaking
with others will jeopardize the validity of our research, which also means that the time
you have spent here will be undermined.
Again, thank you for participating in this project - your contribution is greatly
appreciated. If you have any questions about any aspect of the project, or would like more
information about the results of the study, please feel free to contact Sherri Tillotson
(holm@unbc.ca) at the end of Aug 2009.
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Appendix G
Source Table For interaction contrasts for SC * Phase
Marginal means for main effect of social competence
Low SC
High SC
Baseline Mean HR
72.01
68.80
72.101
68.481
Observation Mean HR
12
Anticipation Mean HR
80.70
81.1812
2
Recovery Mean HR
71.45
69.092
N= 40 per cell;1 = used in 1st interaction contrast; 2= used in 2nd interaction contrast
Omnibus Source Tab e
Source
Type III Sum of Squares
df
Mean Square F
Phase* SCMS
205.07
68.36
3.55
3
Error
4510.80
234
19.28
Sig.
.015
Calculations for interaction contrast must exceed critical F cut-off (1, 78) of 3.96 since these
are single df tests.
Is the slope between observation and anticipation the same for low social competence versus
high social competence?
(40 * (72.10-81.18-68.48+80.7)2)/ (l 2 +-12+12+-12) = 168.1/19.28 = 8.72; p < .05
Is the slope between anticipation and recovery the same for low social competence versus
high social competence?
(40 * (80.70-81.18-71.45+69.09)2)/ (l 2 +-12+12+-12) = 80.7/19.28 = 4.18; p < .05
Source Table For interaction contrast for phase*epoch*SC
Marginal means for main effect of social competence during anticipation phase
Low SC
High SC
82.30
Epoch 12 Mean HR
84.45
79.92
79.10
Epoch 13 Mean HR
N= 40 per cell
Omnibus Source Tab e
Source
Type III Sum of Squares
Mean Square F
df
Phase*
223.58
40.15
6
2.26
Epoch*SCMS
Error
7522.91
423
17.77
Sig.
.04
Calculations for interaction contrast must exceed critical F cut-off (1, 78) of 3.96 since these
are single attests.
Is the slope between epoch 12 and epoch 13 the same for low social competence versus high
social competence?
(40 * (82.30-84.45-79.92-79.10)2)/ (l 2 +-12+12+-12) = 88.21/17.77 = 4.96; p < .05.
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