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A LONGITUDINAL INVESTIGATION OF DIFFERENT EXERCISE
MODALITIES ON SOCIAL PHYSIQUE ANXIETY
THESIS
Presented to the Graduate Council of the
University of North Texas in Partial
Fulfillment of the Requirements
For the Degree of
MASTER OF ARTS
By
Nancy S. Diehl, B.S,
Denton, Texas
August, 1995
Diehl, Nancy S., A Longitudinal Investigation of
Different Exercise Modalities on Social Physigue
Anxiety. Master of Science (Clinical Psychology),
August, 1995, 72 pp., 5 tables, 2 figures, references,
77 titles.
Despite the physiological and psychological
benefits inherent in regular exercise, many people
choose not to participate. Reasons for not exercising
were considered in relation to social physique anxiety
(SPA), a type of social anxiety that occurs as a result
of the prospect of evaluation of one's physique. The
current study investigated longitudinal changes in SPA
as a result of involvement in different exercise
modalities (swimming, racquetball, weightlifting and
non-exercise control). Results indicated that groups
differed early in the semester, suggesting physique
anxiety is related to self-selection of exercise
participation. Social physique anxiety decreased over
time, suggesting exposure to a non-evaluative group may
result in decreased anxiety. A gender main effect was
found, which is consistent with prior research.
Clinical implications are discussed.
T7<i
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A LONGITUDINAL INVESTIGATION OF DIFFERENT EXERCISE
MODALITIES ON SOCIAL PHYSIQUE ANXIETY
THESIS
Presented to the Graduate Council of the
University of North Texas in Partial
Fulfillment of the Requirements
For the Degree of
MASTER OF ARTS
By
Nancy S. Diehl, B.S,
Denton, Texas
August, 1995
ACKNOWLEDGMENTS
The author wishes to acknowledge the invaluable
assistance of Dr. Judy L. Van Raalte, Dr. Britton W. Brewer,
and Dr. Michael J. Mahoney for their assistance and support
from aiding from early in the project to its completion.
Thanks are also expressed to the Kinesiology classes
who participated in the study: the project certainly could
not have been completed without their assistance.
Appreciation and gratitude go to Dr. Trent Petrie for
his encouragement, organizational skills, and endurance
muddling through many drafts. Recognition also to Dr.
Kenneth Sewell and Dr. Kelli Koltyn for their insightful
input.
Finally, the author wishes to give special thanks to
Dr. Patrick Diehl... for everything.
111
LIST OF TABLES
Table Page
1. Correlations, Means, and Standard Deviations of Exercise outside of class (minutes), Body Mass Index (BMI), and Social Physiques Anxiety Scores for Men (n = 49) . . .53
2. Correlations, Means, and Standard Deviations of Exercise outside of class (in minutes), Body Mass Index (BMI), and Social Physiques Anxiety Scores for Women (n = 53) . . 54
3. Correlations between SPAS scores for the control group 5 5
4. Means and Standard Deviations for the SPAS in this study and from Hart, Leary, and Rejeski, 1989 56
5. Means and Standard Deviations of SPAS scores across Times and Conditions 57
IV
A LONGITUDINAL INVESTIGATION OF DIFFERENT EXERCISE
MODALITIES ON SOCIAL PHYSIQUE ANXIETY
Introduction
Industrialization has dramatically changed the
experience of human living. Most people tend to believe
that life has been made significantly easier, and that all
of the so-called progress has been positive. However, as
machines have taken over most manual labor including
switching channels on the television, the population has
become increasingly sedentary (ACSM, 1993; Blair, 1988).
Many people simply perceive exercise as hard work for
minimal reward, even though the positive effects of
exercise, both physiologically and psychologically, have
been well documented.
Although several recommendations concerning exercise
involvement exist (Bouchard, Shephard, Stephens, Sutton, &
McPherson, 1990; Dubbert, 1992), those presented by the
American College of Sports Medicine (ACSM) have been
particularly influential and are frequently used in research
settings. The ACSM suggested that physical activity (i.e.,
exercise) of 20-30 minutes at least three times per week at
60%-90% of age estimated maximum heart rate can result in
desired physical and psychological benefits (ACSM, 1990).
Although the 1990 ACSM recommendation has been widely
accepted as the lower limit at which the majority of
1
2
physical and psychological benefits of exercise can take
place, some exercise is more beneficial than no exercise.
In fact, the newest ACSM guidelines recognize the importance
of regular physical activity. They read "Every American
adult should accumulate 3 0 minutes or more of moderate
intensity physical activity over the course of most days of
the week...Activities that can contribute to the 30 minute
total include walking up stairs, gardening, raking
leaves,..." (ACSM, 1994, p. 7). These guidelines suggest
gains may occur at much lower levels of physical fitness or
exercise than espoused by the 1990 version. For example,
studies of older adult populations have shown physiological
and psychological benefits from seated exercise (McMurdo &
Rennie, 1993; Netz, Tenebaum, & Sagiv, 1988).
Physical and Physiological Benefits of Exercise
Regular exercise has been found to improve physical
health throughout the lifespan, specifically reducing the
risk of coronary heart disease, osteoporosis and certain
cancers, decreasing hypertension and percentage of body fat,
improving metabolism, and aiding in controlling diabetes.
Although most research has been conducted on subjects in the
18-30 year age range, recent efforts have established the
benefits of exercise in older adults (McMurdo & Rennie,
1993; Netz et al., 1988) as well as children (Hinkle, 1992).
Regular exercise has been found to reduce the risk of
coronary heart disease (Adams, Yanowitz, & Fischer, 1981;
3
Landry, 1985; Oberman, 1985) which is the foremost cause of
death in the United States ("Public Health," 1993). In
fact, a meta-analysis of the controlled trials of cardiac
rehabilitation in post myocardial infarction patients showed
a 20% reduction in mortality rate associated with regular
exercise (Froelicher, 1990). Exercise also reduces
atherosclerosis, or fatty streaks in the inner lining of the
arteries (Wood & Stefanick, 1990), and improves the
metabolism of carbohydrates and fats (Lennon et al., 1983).
Hypertension, or high blood pressure, also has been
identified as a serious health problem that can be reduced
by exercise (Blair, Goodyear, Gibbons, & Cooper, 1981). The
expected rate of hypertension in Western societies is 15-25%
overall, and as high as 50%-60% in persons over age 60
(Kaplan, 1986). In sportsmen and sportswomen aged 14-37,
however, the prevalence was only one percent (Krai,
Chrastek, & Adamirova, 1966). In addition, regular physical
activity helps reduce the insulin requirements for Type 1
(insulin dependent) and improves glucose tolerance in Type 2
(non-insulin dependent) diabetes mellitus (Rosenthal,
Haskell, Solomon, Widstron, & Reavan, 1983; Vranic &
Wasserman, 1990).
Exercise has been placed on the short list of lifestyle
habits that reduce the risk of osteoporosis (Harrison &
Chow, 1990). Without habitual activity, bone mass may
decrease. Although genetic predisposition plays a large
4
role in the development of osteoporosis, there are lifestyle
changes such as optimal exercise and nutrition that can help
prevent this disease.
The impact of AIDS on the United States population has
resulted in increased awareness and attention to immune
functioning and related diseases. According to Simon
(1984), there is no question that exercise can affect
immunologic functioning. Although the evidence continues to
be somewhat controversial, it appears that exercise
strengthens the immune system, and can even decrease the
likelihood of lymphatic system cancers (Calabrese, 1990).
There also have been recent suggestions that exercise may be
protective against colon cancer in men (I-Min, Paffenbarger,
& Hsieh, 1991), and may reduce the risk of certain
reproductive cancers in women (Kohl, LaPaorte, & Blair,
1988) .
Surprisingly, exercise in obese individuals is not
directly related to weight loss (Garfinkel & Coscina, 1990).
The heterogeneous nature of obesity, however, may be
responsible for the lack of detection of a relationship. It
may be that when more homogenous groups are considered, the
relationship of exercise to a specific type of obesity will
become clear. There is strong evidence supporting the fact
that exercise can alter body composition by acting to
decrease percentage of body fat (Pacy, Webster, & Garrow,
5
1986), indicating the benefits of exercise in relation to
weight control.
There are, however, costs associated with exercise that
must be considered (Kirkcaldy & Shephard, 1990). Some
possible negative side effects include musculoskeletal
injuries, less time available to participate in other
hobbies or activities, and an immediate increase in the risk
of cardiac arrest and sudden death, despite the long term
reduction of this risk (Appenzeller, 1981).
Psychological benefits of exercise
In addition to the many physical and physiological
benefits, exercise has been identified as providing
important psychological benefits, such as increased ability
to effectively deal with stress (Brown, 1991; Dyer & Crouch,
1988; Holmes & Roth, 1985). Exercise may also help to
decrease depression and anxiety (Hatfield, 1991; King,
Taylor, Haskell, DeBusk, 1989; Morgan, 1985; Morgan &
O'Conner, 1988).
One of the main psychological benefits of exercise is
its effect as a moderator of life stress. Most researchers
have hypothesized that the physiological adaptation (e.g.,
cardiovascular efficiency) associated with regular exercise
influences physiological reactivity to and recovery from
stressful psychological, psychosocial, and physical events
(Plante & Rodin, 1990). Crews and Landers (1987) conducted
a meta-analysis which demonstrated that athletes had lower
6
physiological arousal in response to stress than did non-
athletes. Furthermore, athletes were able to recover faster
than were their non-athletic counterparts.
Thus, physical fitness appears to act as a buffer,
softening the negative effects of life stress. For example,
Brown (1991) found that individuals with lower levels of
physical fitness exhibited more physical ailments, even when
psychological distress was controlled, than did aerobically
fit individuals. Unfortunately, the quasi-experimental
design used (lack of random assignment) by Brown does not
allow causal relationships to be inferred. Another quasi-
experimental study conducted by Dyer and Crouch (1988) found
that undergraduates who participated in aerobic activity
over the course of a semester were better able to cope with
life stress and reported a generally more positive feeling
of well-being than non-exercisers. Adding further evidence
to the relationship between exercise and stress, Holmes and
Roth (1985) found high fitness participants had lower
elevations in heart rate when subjected to a moderately
stressful psychological test (repeating digits backward)
compared with their less fit counterparts. Wilfley and
Kunce (1986) suggest that beginning exercise moderates high
levels of stress, but as fitness improves there is a plateau
in the effect of exercise on stress.
Although the majority of the literature demonstrates
the positive effect of exercise on stress responsivity,
7
other studies have not replicated these results (Berger &
Owen, 1992b; de Geus, van Doornen, Orlebeke, 1993; Plante &
Karpowitz, 1987). A possible explanation for this
discrepancy is that Plante and Karpowitz (1987) did not
manipulate levels of exercise, but simply used an exercise
self-report measure that may have lacked accuracy, de Geus
et al. (1993) did not have acceptable levels of power and
thus may have been unable to detect an effect even if it
truly did exist. Although Berger and Owen (1992b) suggested
exercise is beneficial when done in moderation, extremely
intense exercise may negate the positive relationship
between exercise and stress.
Sime (1984) suggested that anxiety is a potential
outcome of life stress. Exercise, however, has been related
to reductions on both self-report and physiological measures
of anxiety, even following a single session of aerobic
exercise (Tuson & Sinyor, 1993). In middle-aged
psychologically healthy women, increased fitness was
associated with decreased ratings of tension and anxiety
(King et al., 1989). Since anxiety and depression covary so
strongly, it may be that the anxiety-reducing effects of
exercise are also relevant to the antidepressant effects of
exercise (Morgan, 1987).
Exercise has been shown to be as effective as cognitive
therapy in lessening symptomatology for mild to moderately
depressed adults (Freemont & Craighead, 1984). Greist et
8
al. (1979) conducted research evaluating the effectiveness
of time-limited versus time-unlimited psychotherapy versus
exercise, and found that exercise was most effective in
decreasing depressive symptomatology. These results should
be interpreted with caution due to the methodological flaws
noted by the authors in their research. Furthermore,
exercise has been shown to reduce dysphoric mood in a non-
clinical sample (King et al., 1989).
Although exercise has been shown to alleviate symptoms
of depression, the physiological aspects of aerobic exercise
may not be responsible for the changes. Most early studies
used jogging or running as the exercise manipulation, but
recent studies have shown similar effects for weight lifting
or even relaxation training. For example, jogging and
weight lifting were equally effective in reducing depression
in women over the course of an eight week period with
benefits being maintained at one year (Doyne et al., 1987).
A time out hypothesis has been suggested to explain the
beneficial effects of exercise on depression. Morgan (1985)
suggested that the positive benefits of exercise may be
related to time away from life stressors. If that were
true, the same amount of benefit would be derived from any
activity, controlling for time involved. Research, however,
has produced equivocal results regarding this hypothesis.
For example, McCann and Holmes (1984) found the effect of
exercise to be greater than that of meditation or no-
9
treatment over the course of time. Yet, Weinberg and
Jackson (1988) found the effects of meditation to be equally
as effective as running, but not as effective as other
athletic activities (swimming, tennis, and racquetball) in a
single session study.
Although the ACSM provides guidelines for exercise, it
is unclear whether any specific activity or type of
activities may be more effective (and potentially more
enjoyable) as a method for obtaining the physical and
psychological benefits of exercise. Similarly, there has
been a recent call in the psychological literature to
further explore and clarify the types of exercise that
enhance psychological functioning (Plante & Rodin, 1990).
The present study examined the relationship between type of
exercise and psychological gain. Although little research
has been conducted related to type of exercise, there have
been some studies that address this issue. Berger and Owen
(1988) compared swimming, body conditioning (weight
training), Hatha Yoga, and fencing. Results suggested that
only swimmers experienced more positive mood states both
before and after exercise. In a later study Berger and Owen
(1992a) investigated only the relationship between Yoga,
swimming, and a control condition, and found that mood
elevation was significantly greater for both activity
groups, when compared to the controls.
10
Although methodological flaws exist, the resounding
conclusion of the research consistently demonstrates the
important benefits of regular exercise on physical and
psychological health. Specifically, regular exercise
reduces risk of coronary heart disease, hypertension, and
osteoporosis, increases metabolism of carbohydrates and
fats, and decreases stress, depression, and anxiety.
Nonetheless, many people choose not to exercise, and thus, a
primary issue is to clarify the factors associated with that
choice.
Exercise and Social Anxiety
Despite the number of benefits inherent in exercise,
approximately 40% of North Americans are completely
sedentary (Stephens, Jacobs, & White, 1985). The Canada
Fitness Survey (1983) gathered specific information on
reasons people listed for not exercising. Reasons included
lack of time due to work (about 50%), lack of interest or
motivation (over 30%), inadequate facilities (about 30%),
lack of time due to other leisure activities (about 18%),
and needing more encouragement (about 12%). It seems that
the rewards are often too distant, and the cost too
proximate. Many people listed more than one reason thus
percentages add up to more than 100%.
Leary (1992) suggested that one possible reason for not
exercising is that some individuals have self-presentational
concerns. In developing an impression of a person, one
11
takes into account the other's abilities, attributes, and
motives (Leary, 1992). Thus, it is in one's best interest
to convey the self in a way that will be acceptable, and
even appealing to others. This method of self-presentation
is not a calculated manipulative technique, but occurs even
when people are not consciously trying to make an impression
(Leary & Kowalski, 1990). Thus, at a conscious or tacit
level, people monitor their behavior based on the reactions
(real or imagined) of those around them. It is appropriate
to be somewhat in tune with the requirements of the
observing group, but attention, in the extreme, can lead to
social anxiety. Social anxiety is "anxiety resulting from
the prospect or presence of interpersonal evaluations in
real or imagined social settings" (Schlenker & Leary, 1982,
p.642), and results from the belief that one is not able to
make a good impression.
Social anxiety encompasses a plethora of distinctive
subtypes. Many people are only socially anxious when a
specific behavior is being measured. For example, it is
common for many people to become anxious when they are
forced to speak in public. This speech anxiety may even
result in stuttering or excessive sweating, which may
increase anxiety by way of a positive feedback loop. Other
people may be particularly anxious when their bodies are
being evaluated, or seen, by others (Hart, Leary, & Rejeski,
1989). Social physique anxiety is the "subtype of social
12
anxiety that occurs as a result of the prospect or presence
of interpersonal evaluation involving one's physique" (Hart
et al., 1989, p. 96).
Because they believed social physique anxiety might be
useful in explaining the exercise behaviors of sedentary
individuals, Hart et al. (1989) developed the 12 item Social
Physique Anxiety Scale (SPAS). In the first of three
studies, they established the final format of the
questionnaire, investigated loadings of particular questions
on the scale, and determined a single factor structure.
Results suggested gender differences: specifically, males'
average scores were significantly lower than females'
scores. In study two, they demonstrated the construct
validity (discussed further in the methods section). Study
three examined the criterion validity by comparing the
reactions of low and high physique anxious people undergoing
an actual physical evaluation of their physique, including
an interview and a measure of body fat. Results of this
third study indicated that high scorers demonstrated greater
apprehension and tension than their less anxious
counterparts. In addition, social physique anxiety
accounted for 23% more variance in reported stress
experienced during the evaluation than was explained by
standard measures of physique and fitness, such as body
self-rating, weight, and body fat. The findings from Hart
et al.'s initial investigation suggest that social physique
13
anxiety is a measurable, meaningful construct that may help
explain why some people choose not to exercise. Since the
introduction of social physique anxiety (Hart et al., 1989)
few studies have been completed although researchers have
acknowledged the importance of the construct for explaining
exercise behavior.
One study that has been conducted examined the
relationship between location of exercise (public versus
private) and social physique anxiety in female Canadian
nursing students. In this study, Spink (1992) found that
high physique-anxious women, when compared with low
physique-anxious women, were more likely to exercise in
private than in public. Although this finding suggests that
there are situations in which highly physique anxious women
might exercise, it is difficult to find modes of exercise
that are completely private. Exercise equipment for the
home is generally expensive and likely prohibitive for most,
and exercising outside in an area perceived as deserted
might be dangerous.
Although Spink's findings (1992) are theoretically
consistent, methodological limitations did exist. The
categories of high and low physique anxiety were determined
using a mean split. It is clear that this differentiation
is somewhat arbitrary and influenced by extreme scores. A
median split or even a tertiary or quartile split would have
been more meaningful, although the latter two would have
14
resulted in decreasing the sample size even further. In
spite of these limitations, the findings do suggest that
there are differences in the behaviors of higher versus
lower physique anxious people.
McAuley and Burman (1993) further examined the
psychometric properties of the SPAS adding evidence to
support its single factor structure. Participants were
female adolescent gymnasts, who completed a demographic
questionnaire, the SPAS, and the Physical Self-Efficacy
Scale. Analyses revealed support for the SPAS' original
factor structure and further demonstrated its construct
validity through the strong inverse relationship between
physical self-efficacy and degree of social physique
anxiety. These results increased the evidence that the
Social Physique Anxiety Scale is a valid and useful measure
for adolescents as well as adults.
Crawford and Eklund (1994) examined social physique
anxiety in relation to attitudes toward exercise settings in
college females. The women viewed two videotapes of an
aerobics class, one in which participants were wearing
tights and thong leotards, and one in which they wore t-
shirts and shorts. After each viewing, subjects reported
their attitudes toward the exercise setting. Results
indicated social physique anxiety was negatively associated
with the setting emphasizing physique, and positively
related to the setting minimizing physique. High physique
15
anxiety women had more negative attitudes toward the
exercise setting in which people displayed their physique
(i.e., tights and thong leotards). Low physique anxious
women, however, preferred a setting where they could display
theirs. These results suggest that women with relatively
high physique anxiety may not participate in certain
exercise settings, thus limiting their options. Although
this study provided important additional information about
the construct and its relation to exercise, the authors
noted the importance of extending this line of investigation
to field settings.
The authors furthered their work in this area with a
sample of college women (Eklund & Crawford, 1994). They
measured SPA, weight satisfaction, percent body fat, reasons
for exercise, exercise behaviors and preferences and
attitudes toward the aerobic videos mentioned above.
Results indicated that self presentational reasons for
exercise were positively correlated with SPA. However, SPA
was not positively correlated with attitudes toward either
of the video presentations. The authors suggested that
other variables may moderate or mediate self presentational
anxiety in exercise settings.
Social anxiety theory suggests that people who are
physique anxious would be unlikely to exercise, not wanting
to subject themselves to the anxiety that they would feel in
a public exercise setting. Results of existing empirical
16
investigations add indirect support for this assertion. If,
however, social physique anxiety could be decreased, two
important related events might occur. First, these
individuals might be more willing to be seen in exercise
settings. Second, with the increased number of options,
these individuals might increase their overall level of
exercise activity. Because the effects of exercise on
psychological and physical functioning are well documented,
any increases in exercise would likely prove beneficial.
The results of these social physique anxiety studies
demonstrate the validity of the construct as well as its
potential usefulness in explaining exercise choice,
frequency, and location. What is not known, however, is the
stability of the construct and whether it can be changed
through exercise involvement. If it can ,be changed it is
important to examine the possible agents of change such as
aerobic benefit, changes in body shape or possibly
desensitization by wearing somewhat revealing exercise
attire.
Most longitudinal studies examining the psychological
benefits of exercise have utilized measurement at only two
points in time (e.g., pre and post), thus limiting
researchers' ability to determine the process of change
(King et al., 1989). Another potential problem is the
selection of the measurement interval. Ford, Puckett,
Blessing, and Tucker (1989) measured effects of exercise
17
class participation on both physical measures (step test,
flexibility test, sit-up test and body composition) and
psychological measures (self-esteem and body cathexis).
During the eight week interval the groups changed only on
the number of sit-ups they were able to complete, suggesting
that the effects of exercise on the other variables may
require more time, if they exist at all. To address these
limitations, the current study proposed to explore changes
over a 15 week period using multiple measurement times.
Given the unaddressed questions surrounding social
physique anxiety, the purposes of this study were twofold.
First, the current study examined if students' levels of
social physique anxiety vary depending on the type of
exercise setting they select. Specifically, male and female
undergraduates from four different co-educational exercise
classes (cycling, swimming, racquetball, and weight lifting)
and a developmental psychology class (control) were compared
on levels of social physique anxiety at the beginning of the
semester. Because swimming requires wearing revealing
athletic wear (i.e., bathing suit), swimmers would expect
their physiques to be evaluated. Thus, people who self-
selected swimming were expected to have lower anxiety than
all other participants in this study. In addition, gender
was considered because past research has demonstrated
differences between males and females on the SPAS. It was
hypothesized that women would expected to score higher than
18
men, and swimmers would have the lowest SPAS scores. No
interaction between gender and exercise setting was
expected.
Second, the study determined the degree to which social
physique anxiety changed over the course of semester-long
involvements in different exercise settings. Marks and
Mishan (1988) demonstrated that the desensitization effects
of exposure have been effective in reducing anxiety and
avoidance in individuals with disturbed body perceptions.
Thus, the anxiety-reducing effects of exposure may be
demonstrated in relation to social physique anxiety as well.
Crawford and Eklund (1994) have suggested that differences
may exist based on the type of clothing worn by
participants. That is, wearing relatively revealing
clothing (e.g., bathing suit) may desensitize individuals to
the effects of social evaluation and thus lower anxiety
about presenting physique in a social setting. Given that
four different exercise modalities were incorporated, the
relative effects of type of exercise setting and exposure
could be addressed. It was hypothesized that the exercise
groups' social physique anxiety would decrease over the
course of the semester compared with the control group. In
addition, it was expected that swimmers would evidence the
lowest social physique anxiety at time four due to their
involvement in an aerobic exercise setting with the highest
19
level of body exposure. Gender also was considered as an
independent variable given the findings of past research.
Method
Participants
Participants were 102 undergraduates (49 males, 53
females) from a large, southern state university who
enrolled in either co-ed physical education (PE) activity
classes or a Developmental Psychology class during the Fall
semester of 1994. Prior to graduation, all students at this
university are required to complete 4 credit hours of PE
activity classes. Participants were recruited from the
following classes: bicycling (8 male, 3 female; which were
later removed from the sample- see results section),
beginning swimming (7 male, 16 female), weight lifting (20
male, 19 female), beginning racquetball (16 male, 7 female),
and Developmental Psychology (6 male, 11 female) (the
control group). Each class met two hours and 40 minutes per
week.
Although 271 participants completed the questionnaire
at the first administration only 102 completed the study
across all four times and only these individuals are
included in subsequent analyses. Those who did not complete
all four administrations did not differ from those who did
complete all four times on age, gender, race, year in
school, or social physique anxiety at the beginning of the
semester. Upon examination of a box and whisker plot and
20
age variability among experimental conditions, 4 subjects
were excluded because they were significantly older than the
rest of the sample. As determined prior to data collection,
5 control subjects who were currently enrolled in P.E.
classes for the semester also were excluded.
Most participants were between 19 and 25 years old (M =
23.33, SD = 4.38). The mean body mass for men was 23.15, SD
= 2.97; for women mean body mass was 22.59, SD = 4.46.
Participants were primarily Caucasian (n = 78) although 4
identified themselves as Asian American, 5 African American,
1 Native American, 9 Hispanic, and 4 as Other; one did not
provide information on his/her racial/ethnic background.
Participants responded to a 5 point Likert-type scale
"Compared to the usual amount you exercised in the past six
months, how much do you do now?" anchored by "much more" and
"much less." They reported exercising about the same amount
(M = 2.76, SD = 1.03) as they did during the 6 months prior
to the Fall 1994 semester, thus enrolling in a P.E. class
does not seem to indicate a change from regular exercise
habits. Respondents indicated that they participated in
exercise activities such as walking, jogging, bicycling,
weight lifting, swimming, aerobics, racquetball, dance,
rollerblading, golf, tennis, basketball, softball, and
volleyball. Participants exercised a mean of 2.84 hours
(SD= 2.52) per week outside of their PE class participation.
Most participants (71%) identified themselves as
21
recreational or weekend athletes and 19% reported they were
not athletes.
Instruments
Phvsiaue Anxiety. The 12-item Social Physique Anxiety
Scale (SPAS; Hart et al., 1989) measures the trait-like
degree of anxiety individuals experience when their physique
is, or is perceived to be, evaluated by others. On items
such as "In the presence of others, I feel apprehensive
about my physique/figure," and "I am comfortable with the
appearance of my physique/figure," individuals indicate the
degree to which the statement is characteristic of
themselves on a 5 point Likert type scale ranging from 1
"not at all" to 5 "extremely." Internal consistency
(Cronbach's alpha) and 8-week test-retest
reliability/stability were shown to be .90 and .82,
respectively, for undergraduates (Hart, Leary, & Rejeski,
1989). Support for the Social Physique Anxiety Scale's
construct validity was provided by Hart et al. (1989) in
their initial investigation. The SPAS was correlated with
public self consciousness (r = .30), fear of negative
evaluation (r = .35) , interaction anxiousness (r = .33),
body cathexis (r = -.51), and uncorrelated with social
desirability (r = -.07). Social physique anxiety also has
been found to have a strong relationship (positive
correlation) with negative perceptions of physical
22
conditioning and weight in elite figure skaters (Martin,
Wirth, & Engels, 1993; See Appendix A).
Hart, Leary, and Rejeski (1989) conducted a principal
components analysis and found support for a single factor
latent structure. McAuley and Burman (1993) conducted a
confirmatory factor analysis using adolescent females. All
items had statistically significant loadings with the
exception of item two "I would never worry about wearing
clothes that might make me look too thin or overweight."
Based on their statistical analyses (goodness of fit tests
and internal consistency of 11 item and 12 item scales),
they decided to base subsequent analyses on the better
fitting 11 item scale. For the purposes of this study, the
original 12 item scale was given to participants. However,
the same item caused some confusion with participants
commenting on the poor wording. No other items on the scale
elicited any like response. When an alpha reliability
analysis was calculated, the corrected item-total
correlation of this item was .11. This item reduced the
overall reliability of the instrument and, based on current
results as well as those of McAuley and Berman (1993), this
item was excluded from all analyses. The resulting 11 item
scale had a Cronbach's alpha reliability (at Time 1) of .,92.
The resulting scale was examined using unweighted least
squares factor analysis. The scree plot of eigenvalues
indicated a single factor structure. Total scores on the 11
23
item, 5 point Likert-type scale are obtained by reverse
scoring items 1, 5, 8, and 11 and then summing all items,
and can vary from 11 (low social physique anxiety) to 55
(high social physique anxiety).
Demographic data Participants provided demographic
information, including age, gender, height, weight, and
race/ethnicity. In addition, they were asked to identify
their current level of exercise involvement in relation to
their exercise habits in the recent past. Level of exercise
involvement was defined as the average number of hours per
week participants reported exercising during the past four
weeks outside of their physical education class. Exercise,
in this context, was defined as anything subjects perceived
as exercise above and beyond the requirements of everyday
living (e.g., soccer, tennis, jogging, walking specifically
for exercise). Because the primary research question was
related to the relationship of athletic activity to physique
anxiety, exercise outside of class was a potential confound.
Data regarding exercise outside of class was gathered so
that external exercise could be statistically controlled if
there was a significant correlation between exercise time
outside of class and social physique anxiety. In addition,
a 7 point Likert-type scale was used to determine past
exercise involvement to better describe the exercise habits
of the participants. Participants rated how their current
level of athletic involvement (number of hours) related to
24
their typical level of activity in the past six months (See
Appendix B).
Design and Procedure
Using a longitudinal design, participants were
administered questionnaires at four different times
throughout the semester: the second (baseline), sixth,
tenth, and fourteenth weeks of the 15 week semester. These
administration dates were evenly distributed across the
semester, and generally did not coincide with major exam
periods.
The first administration occurred at the beginning of
the first class period during the second week of the
semester. This time was chosen because the class roster was
more stable than during the first week of the semester when
students were adding and dropping classes. At this
administration, participants were informed of the purpose
of the study, signed consent forms (See Appendix C), and
completed the demographic and exercise questionnaire as well
as the SPAS.
At subsequent administrations, participants completed
the SPAS at the beginning of the first class period of the
designated week and reported the average number of hours
(outside of class) they had exercised per week since the
previous administration (See Appendix D). The final
administration included two additional questions which were
completed after all other measures had been finished (See
25
Appendix E). Participants who were absent on scheduled
administrations completed the SPAS at the beginning of the
subsequent class. The teachers' attendance records were
used to gather information about overall class attendance.
Participants who did not attend class regularly (75% of the
time) were excluded from the analysis; only one respondent
was excluded based on this criterion. In fact, the modal
number of exercise classes missed over the course of the
semester was 3.
Results
Although data were initially analyzed using 5 quasi-
experimental conditions, one group was discarded for both
theoretical and statistical reasons. All classes were
selected on their introductory level status, yet one class
did not fit this designation. The cycling class required
expensive equipment, and those in the class indicated they
were experienced cyclers, suggesting a more advanced class.
Additionally, there were a limited number of men (n = 8) and
women (n = 3) who completed questionnaires at all four
administrations. Thus, for these reasons, data from cycling
classes were removed from the analyses.
Tables 1 and 2, respectively, present the correlations
and mean scores for male and female body mass, and SPAS
scores at each administration. Body mass is correlated with
SPAS only for women. The correlation matrix indicates that
26
there is no relationship between SPAS scores and exercise
time outside of class.
To address the first hypothesis, a 4 (Class
Designation) X 2 (Gender) analysis of covariance (ANCOVA)
was calculated using body mass as a covariate and Time 1
SPAS scores as the dependent variable. The covariate, as
expected accounted for a significant portion of the
variance. No interaction (F (4, 93) =.56, p = .74) was
found. However, there was a main effect for gender (F (1,
93) = 4.48, p < .03), with females' scores (M = 33.85, SD =
9.99) being higher than males' (M = 29.18, SD = 7.66), and
for exercise setting (F (3, 93) = 2.68, p < .05). Scheffe
post hoc analyses of exercise setting revealed that the
racquetball group reported lower SPAS scores than the weight
training group; no other mean differences emerged.
To address the second research question, a 4 (Class
Designation) X 2 (Gender) X 4 (Number of administrations)
repeated measures analysis of covariance (MANCOVA) was
conducted; body mass again was used as the covariate.
Analyses revealed no three or two-way interactions although
main effects for time, (F (3, 93) = 4.67, p < .01) and
gender, (F (1, 93) = 7.59, p < .01) emerged. There was no
main effect for exercise setting. Contrast analysis
(reverse Helmert) revealed that social physique anxiety was
higher at the beginning of the semester, and decreased
between Times 1 and 2, and again between Times 2 and 3; but
27
no differences occurred after Time 3. For gender, collapsed
across all four time periods, women's (M = 32.78, SD = 9.31)
SPAS scores were higher than the men's (M = 27.69, SD =
6.53).
Data were collapsed across exercise conditions to
determine if exercise per se, rather than any specific type
of activity, had an effect on social physique anxiety. The
resulting 2 (Exercise or Non Exercise Condition) X 2
(Gender) X 4 (Number of Administrations) MANCOVA indicated
no three-way or two-way interactions. The expected main
effects for gender (F (1, 97) = 4.49, E < .05), and time (F
(3, 97) = 3.98, E < .01) were found, though no main effect
was found for exercise condition.
Stability of the SPAS was evaluated across the four
measurement times by examining the correlations between SPAS
scores of the control group, given that their level of
social physique anxiety would not be expected to change over
the course of the semester. It was expected SPAS would
remain stable because no intervention occurred, and SPAS is
considered to be a trait-like measure. Thus, analysis of
data from the control group can address temporal stability
issues. Test-retest reliability and stability over time can
be noted by inspecting Table 3. The data suggest that the
SPAS is a relatively stable measure. These results,
however, should be considered cautiously as the control
group had only 17 participants.
28
Discussion
Despite the numerous physiological and psychological
benefits of exercise, many people still do not participate
in exercise (ACSM, 1993; Canada fitness survey, 1983).
Numerous theories have been offered to explain lack of
involvement in exercise (such as lack of time, interest,
motivation or inadequate facilities), yet some researchers
(e.g., Hart, Leary, & Rejeski, 1989; Spink, 1992) recently
have suggested that social physique anxiety may be a useful
construct to consider when addressing exercise avoidance.
The current study was conducted to longitudinally examine
the relationship of social physique anxiety to involvement
in different exercise modalities. Because of the quasi-
experimental nature of this research, it was expected that
the groups (swimming, racquetball, weight training, and
control) would differ on initial levels of SPA. Results
indicated that the groups did differ but not in the
hypothesized direction. Participants in the racquetball
condition had lower SPA than those in weight training; no
other between group differences were found.
One possible explanation for the differences in initial
levels of social physique anxiety may be found in the actual
content of the course work for each class. As results
indicated, the only difference in social physique anxiety at
Time 1 was that students in racquetball classes had
significantly less anxiety than students in weight training
29
classes. The racquetball class, in particular, focused more
on skill development than aerobic activity. Students spent
a great deal of course time listening to instructions,
observing demonstrations, and then practicing specific
skills. Pappas, Golin, and Meyer (1990) demonstrated that a
racquetball group received less aerobic benefit and more
instruction than an aerobic class, and suggested that a
self-selection process might explain differences in these
groups. Those who selected racquetball may have done so to
learn the skill rather than for the aerobic or physique
changing benefits.
Of all classes, participation in weight training seemed
the most likely to actually change one's physique as
research has demonstrated that weight training interventions
have been particularly effective in that regard (Melnick &
Mookerjee, 1991; Tucker & Mortell, 1993). In addition, body
shape satisfaction has been found to be significantly
related to social physique anxiety (r = .78; Hart, Leary &
Rejeski, 1989). Taken together, these results suggest that
individuals who chose weight lifting classes may have been
most dissatisfied with their bodies and, relatedly, had
higher anxiety about how they looked. Given these findings,
it is consistent that the weight training class reported the
highest SPA scores.
It was hypothesized that, at Time 1, the swimming class
would have the lowest physique anxiety because they chose to
30
wear a bathing suit in a social setting. The assumption was
that choosing to wear revealing clothing would suggest low
physique anxiety. Swimming, however, was not statistically
different from any of the other classes. Thus, wearing a
bathing suit in public may be more likely to cause anxiety
for some people, but not for everyone. Markee, Carey, and
Pedersen (1990) found that less clothing was related to
lesser body satisfaction. There are reasonable explanations
for swimmers having either high or low physique anxiety: the
mechanisms of social physique anxiety in this group remains
unclear.
In regard to the second hypothesis (the longitudinal
effects of exercise, social physique anxiety, and gender),
social physique anxiety did, in fact, decrease over time for
the combined group of exercise classes and controls. Social
physique anxiety was the highest at the beginning of the
semester and decreased until Time 3, when it appeared to
reach a plateau. Because no further data were gathered, the
implications of the equality between Times 3 and 4 remain
unclear. The "plateau" may have occurred because of a floor
effect, indicating that social physique anxiety may be
unlikely to drop below a certain point, or that the
magnitude of change decreases after a certain point.
This possible explanation of the plateau effect should
be considered in relation to other SPAS research with
college populations. No previous research has been
31
conducted with this population longitudinally, although Time
1 means of this study were comparable to previous research.
Because no research of this type has been conducted
previously, additional research needs to be done to
determine which explanation is valid. It is important to
consider the main effect found in the current study of SPA
decreasing over time. This decrease resulted in lower
scores than have been previously reported (See Table 4). By
Time 4, means for both men and women were lower than have
been found in prior research. Thus, SPA can change over
time, although the extent of the decrease in SPA is not yet
clear. If there is a level below which SPA is unlikely to
go (a floor), than there are implications for intervention.
It may be that there is a meaningful cut-off point below
which decreases in physique anxiety can not be changed due
to exercise behavior. This explanation suggests that if a
floor exists, the interventions may only be effective up to
a certain point.
In a related vein, it is important to consider the
mechanisms that may be responsible for the decrease in SPA
revealed in this study. Eklund and Crawford (1994)
suggested the possibility that individuals may be somewhat
desensitized to self-presentational concerns through
exposure to the exercise setting, and this exposure effect
may be partially responsible for the decrease in anxiety.
The treatment of choice for many types of anxieties is
32
either imaginal or in vivo exposure, and the effectiveness
of these strategies has been well documented (e.g., Barlow,
1988; Linden, 1981). SPA is anxiety related to perceived
evaluation by others. Consistent experiences with people in
which negative evaluational outcomes do not occur would be
likely to decrease their fear of negative evaluations by
others. Participants in each condition of the current study
were consistently exposed to the same group of people, thus
exposure seems to be a viable explanation for the physique
anxiety decrease.
Another possible explanation for the reduction in
social physique anxiety over time may be an effect of the
time of year data were collected. In September, when data
collection began, people wear lighter clothing outside of
class than they do when the weather gets cold, typically
around late October or early November (Time 3). Markee,
Carey, and Pedersen (1990) found that women's body
satisfaction increased positively relative to the amount of
clothes they were wearing. They suggested that clothing
people wear may bring peoples' view of their bodies closer
to their perception of the norm. Thus, it is possible that
lowered social physique anxiety occurred in part as a
function of change in overall body satisfaction because of
increased clothing. Additional research needs to be
conducted to investigate this potential time of year effect.
Assuming time of year is important, the reverse trend would
33
be expected from January to May, that is, anxiety would
increase as the weather warms and amount of clothing worn
decreases.
Alternatively, participation in exercise programs may
effectively decrease social physique anxiety. In this study
low statistical power confounded this explanation. Despite
selecting an exercise measure used in previous SPAS research
(Crawford & Eklund, 1994), it did not provide meaningful
information in this study. When data were collapsed across
exercise conditions and compared with the control group, no
main effect for exercise was found. When the means were
examined, however, differences existed in the hypothesized
direction (see Figure 1). The women in the control group
have an oscillating SPAS score, but the women in the
exercise condition's SPAS seems to consistently decrease
over time. For men, both groups decreased in social
physique anxiety over time (see Figure 2). This study
lacked the power to detect a possible difference that did
exist (with power for this interaction calculated to be
.11). Low power made the results of the current research
more difficult to interpret. In summary, decreasing
physique anxiety over time may be an exposure effect, an
exercise effect, a time of year effect, or some interaction
of the three. As mentioned previously, additional
controlled studies will need to be conducted to determine
the viability of each explanation.
34
As expected, women scored higher than men at the
beginning of the study, as well as when SPA scores were
collapsed over time. Only one previous study used the
Social Physique Anxiety Scale with both males and females.
Hart, Leary and Rejeski (1989) found that women scored
higher on this scale than did men. This finding makes sense
when one considers that the prevalence of clinical-level
anxiety is greater in women: DSM-IV (APA, 1994) indicates
there is a 3:2 ratio. In addition, body mass was correlated
with social physique anxiety only for women, with greater
body mass being associated with higher levels of anxiety.
Sociocultural theory suggests that looks are highly valued
in women and the media and other cultural influences exert
pressure to conform with physical ideals, especially for
women (Nemeroff, Stein, Diehl, & Smilack, 1994; Striegel-
Moore, Silberstein, & Rodin, 1986). When individuals become
overly concerned about their appearance, social anxiety
seems a probable outcome (Striegel-Moore, Silberstein, &
Rodin, 1993). As social physique anxiety is a special
category of social anxiety, the sociocultural influence
seems to be significant.
Limitations
The current study was limited by a number of
methodological reasons. First, the quasi-experimental
design allowed neither for random assignment of subjects to
35
conditions, nor for control of what went on during class
time. The lack of random assignment precludes the ability
to make causal statements about the effects of different
types of activity on social physique anxiety. Although
groups were comparable on a number of demographic measures,
it was impossible to consider every potential confound.
Additionally, the level of activity and participation
was highly variable across days and treatment conditions.
The skills class (racquetball) had a much greater
educational component than did the other activity classes.
Another possible confound was the difference between course
content and course description for the weight training
class. It was anticipated that the weight training class
would consist of a brief aerobic warmup followed by weight
training. In fact, the students were able to choose to use
either or both the aerobic or anaerobic equipment (nautilus
type machines).
A second limitation concerned the relatively small
number of subjects in each condition who completed all four
administrations. For example there were only 7 male
swimmers and 7 female racquetball players. Although optimal
subject number is usually indicated by effect size and
power, a random survey of 122 treatment outcome studies
found the mean number of subjects per cell to be 40 (Lipsey,
1985). The small sample size decreased the power to detect
an actual effect, thus increasing the likelihood of Type II
36
error. Although at Time 1 there were ample subjects per
cell, the strikingly high attrition rate reduced this number
considerably. As noted in the results, over 150 of the
original 271 participants did not complete all
administrations. Although our analysis suggests that, on
demographic data, those who failed to complete the study
were not different from those who did, we again note the
limitation of relying solely on demographics to identify
such potential differences.
Finally, as was considered in the conceptualization of
this project, exercise outside of class would confound the
quasi-experimental manipulation. Our attempt to measure
exercise and control for this variable, however, was not
effective. The self-report measure of the total number of
minutes and hours exercised outside of class was unreliable,
resulting in a highly variable statistic which did not
correlate with SPAS. In general, historical self-report
measures are suspect because of the "perils of retrospective
introspection": individuals may over- or under-report for a
variety of reasons (Brewer, Van Raalte, Linder, & Van
Raalte, 1991, p. 227). For example, participants in the
current study may have had difficulty accurately remembering
their behaviors. Furthermore, participants may have felt
pressure to report exercise participation and thus
misrepresented the actual extent of their participation.
Finally, this self-report measure of out of class exercise
37
did not allow for determination of exercise intensity.
Thus, a person walking slowly for 4 minutes would be equated
with someone who is sprinting for the same amount of time.
Directions for Future Research
Because of the dearth of studies examining social
physique anxiety, directions for future research are many
and varied. Most immediately, it would be useful to
experimentally study the effects of exercise on SPA. This
approach offers the ability to more accurately manipulate
the intervention variables, exercises, and to randomly
assign participants to conditions. It would be especially
important to control for (or limit) exercise outside the
research setting, as exercise outside may confound the
effect.
Results of this study indicate that SPA decreased over
time until the 12th week of intervention, when it appeared
to plateau. Thus, it will be important to determine the
exact temporal relationship between SPA and exercise
involvement. When conducting such research it will also be
important to determine if repeated administration of the
scale results in lower scores without any intervention
(i.e., if change may be a result of demand characteristics).
Finally, sociocultural theory and the current
understanding of eating disorders suggest that SPA may play
a role in the relations among body image, social anxiety,
and eating disorders. Future research should examine the
38
relation between SPAS and eating disorders as well as the
role SPA may play in predicting eating disordered behavior.
Conclusions
Results of this investigation indicate that social
physique anxiety decreased over time and that people who
self-select different types of exercise have different
initial levels of social physique anxiety. In addition,
this study supports the findings of previous studies which
indicated that women generally are more physique-anxious
than are men. The suggestion that people have specific
exercise preferences and these preferences may be related to
physique anxiety has implications for examining physique
anxiety in relation to type of exercise setting (e.g.,
health clubs, tennis centers, etc.).
Over the long term, the SPAS may be identified as one
of many screening devices for people who may not exercise
because of physique anxiety. People with high physique
anxiety may overcome their anxiety in a group of familiar
people. Intervention may include early group meetings so
that exposure to the group will decrease the anxiety related
to exercise. Once social physique anxiety has been
decreased by participation in the intervention group
setting, generalization and maintenance issues can be
addressed.
Overall, social physique anxiety continues to
demonstrate an important role in self-presentation concerns.
39
Despite the limitation^ ol: the current research, results
suggest that social physique anxiety can be decreased, and
future research should pursue a more thorough understanding
of the mechanisms of this change.
40
APPENDIX A
SOCIAL PHYSIQUE ANXIETY SCALE
41
42
S P A S
For each i tem, p lease ind icate the degree to w h i c h the s ta tement is character i s t ic or true of you.
Not at ail Slightly Moderately Very Extremely
1. I am comfor tab le with the appea rance of my
phys ique/ f igure
2. I would never worry about wea r ing clothes that
might make me look too thin or overweigh t
3. I wish I wasn ' t so upt ight about my phys ique / f igure
4. The re are t imes when I a m bo the red by thoughts that
o ther people arc eva lua t ing my weight or muscula r
deve lopment negat ively
5. W h e n I look in the mirror I feel good about my
phys ique/ f igure
6 . Unattract ive feature of my phys ique / f igure make me
ne rvous in certain social se t t ings
7. In the presence of o thers , I feel apprehens ive about
my physique/f igure
8. I a m comfor tab le with how fit my body appears to
o thers
9. It would make me u n c o m f o r t a b l e to k n o w others
were e \ a lua t ing my phys ique / f igu re
10. W h e n it c o m e s to d i sp lay ing my physique to o thers .
I a m a shy person
11. I usually feel re laxed w h e n it is obv ious that o thers
are looking at my phys ique / f igu re
12. W h e n in a bathing suit , 1 o f t en feel nervous about
the shape of my body
Please check to m a k e certa in that you have answered all 12 of the quest ions . T h a n k you.
APPENDIX B
DEMOGRAPHIC QUESTIONNAIRE
43
44
Demographic Questionnaire
Please write your social security number here. - -
If you are currently enrolled in a physical education class, please indicate the class.
What is your age? (years)
What is your gender? (Please Circle) l=Male 2=Female
What is your class standing? (Please circle number) l=Freshman 2=Sophomore 3=Junior 4=Senior 5=Other
Do you currently have a bachelors degree? (Please circle) l=Yes 2=No If yes, please indicate the year the degree was awarded:
What is your major, or intended major?
What is your mother's highest level of education? (Please circle number) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20+
grade school middle high school college graduate school school
What is your father's highest level of education? (Please circle number) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20+
grade school middle high school college graduate school school
What is your racial/ethnic background? (Please circle number) l=Caucasian 2=African American 3=Hispanic 4=Asian American 5=Native American 6=Other
What is your yearly personal income? That is the money you earn yourself or college loans that you yourself take out, not money from your family. (Circle number)
0=0-$9,999 1=$ 10,000-$ 19.999 2=$20,000-$29,000 3=$30,000-539,000 4=$40,000 or more
What is your yearly family income? That is the combined income of you and your spouse (if you are married) or your partner. Or the income of your parents if they support you. If you are unsure, please estimate. (Please circle number)
0=$ 10,000-519,999 I =$20,000-529,000 2=530,000-549,000 3=550,000-569,000 4=$70,0G0 or more
What is your current weight? pounds
What is your height? feet inches
What is your idea! weight?
How comfortable do you feel when your physique/figure is being evaluated? (Please place an X on the line which best indicates your feelings)
Uncomfortable Comfortable
45
Demographic Questionnaire-2
You consider yourself to be a athlete (Please circle) l=Elite 2=lntercollegiate 3=Recreational 4=Weekend 5=Not an athlete
Over the last four weeks, what is the average number of hours and minutes per week have you spent exercising? This includes anythtng above and beyond the requirements of everyday living such as jogging, weight lifting, aerobics, walking for exercise, etc. Please round to the nearest 15 minutes.
hours minutes
When you have exercised over the last four weeks, what type of exercise have you primarily participated in? Please place a I by the most frequent, and a 2 by the second most frequent:
jogging walking bicycling swimming golf tennis racquetball badminton squash fencing aerobics wt lifting dance rollerblading yoga basketball volleyball softball soccer other
On the average, what do you perceive your rate of exertion to be on a scale of 1 (not much exertion) to 10 (maximum exertion)?
Compared to the usual amount you exercised in the past six months, how much do you do now? (Please circle) l=Much more 2=Somewhat more 3=About the same 4=Somewhat less 5=Much less
How often do you spend at least five (5) minutes stretching? (Please circle) l=Twice a day or more 2= Once a day 3=Daily 4=Weekly 5=Less than once a week
How often do you spontaneously stretch one or more joints in the context of another activity (e.g. class)? 1 =Twice a day or more 2= Once a day 3=Daily 4=Weekly 5=Less than once a week
If you are a Varsity athlete, what team are you a member of?
Is there any physical reason keeping you from exercise? (Please circle) l=Yes 2=No If yes, please explain:
APPENDIX C
INFORMED CONSENT
46
47
Informed Consent for the Study of Students in Kinesiology Classes
1/ agree to participate in the study of the effects of exercise. The information from this study will be used to further understand people's attitudes toward exercise participation. I understand that I will fill out questionnaires on four occasions during class over the course of the semester. The questionnaires will concern general information about me as well as my experiences in relation to my exercise and physical appearance. I further understand and consent to allowing the investigator to review my attendance record for this class, and this class only.
I understand there is minimal risk and/or discomfort involved with this study and that I am free to withdraw my consent and discontinue participation at any time without penalty. I understand that I am to complete the three follow-up questionnaires over the course of the semester. If I have any questions or problems that arise in connection with my participation in this study, I should contact Nancy Diehl, the principal investigator, or Trent A. Petrie, Ph.D., the research supervisor at the Department of Psychology at (817) 565-4718.
In addition to signing and returning a copy of the Informed Consent, I have received a copy for my records.
(Signature of Participant) (Today's Date)
APPENDIX D
LATER DEMOGRAPHIC QUESTIONNAIRES
48
49
Demographic Questionnaire for Times 2, 3, and 4
What is your current weight? pounds
What is your height? feet inches
What is your ideal weight? pounds
Since the last time you filled out this questionnaire, what is the average number of hours and minutes per week have you spent exercising? This includes anything you do for exercise above and beyond the requirements of everyday living such as jogging, weight lifting, aerobics, walking specifically for exercise, etc. Please round to the nearest 15 minutes.
hours minutes
APPENDIX E
ADDITIONAL QUESTIONS AT TIME 4
50
51
Additional Questions asked at Time 4
Compared to the beginning of the semester, how comfortable do you currently feel when your
physique is being evaluated?
Currently more Currently, more negative positive
no change
Is there any information you feel is missing from this study? If so, please add your own
comments below:
Thank you very much for your participation in this project.
APPENDIX F
TABLES
52
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57
Table 5
Means and Standard Deviations of SPAS scores (bv gender)
Time i SPAS Time 2 SPAS Time ; 1 SFAS T i rr #2. A C D i C
M SD M SD M M SD
Control
Hale 3 3 . 0 8 . 8 3 1 . 7 1 0 . 0 3 0 . 2 7 . 2 2 9 . 8 6 . 2 Female 3 3 . 4 7 . 6 34 . 4 7 . 7 3 3 . 1 8 . 2 3 4 . 1 8 . 2 Total 3 2 . 2 7 . 8 3 2 . 5 8 . 4 3 2 . 1 7 . 8 3 2 . 6 7 . 7
Racquetball
Male 2 6 . 4 6 . 4 2 6 . 4 5 . 8 2 6 . 4 6 . 0 2 5 . 8 5 . 0 Female 2 8 . 0 1 2 . 4 2 7 . 4 1 0 . 6 2 8 . 9 1 0 . 7 2 6 . 0 1 2 . 4
Total 2 6 . 9 8 . 4 2 6 . 7 7 . 3 2 7 . 1 7 . 6 2 5 . 8 7 . 7
Weight Training
. Male 3 0 . 8 7 . 7 3 0 . 4 7 . 2 2 6 . 8 8 . 5 2 6 . 4 6 . 6
Fema1e 3 7 . 5 1 0 . 9 3 5 . 3 1 0 . 1 3 4 . 2 1 1 . 3 3 3 . 8 1 2 . 0
Total 3 4 . 1 9 . 9 3 2 . 8 9 . 0 3 0 . 2 9 . 9 3 0 . 3 1 0 . 8
Swimming
Male 2 7 . 4 8 . 1 2 4 . 0 6 . 3 2 4 . 7 7 / 5 2 5 . 4 8 . 9
Female 3 2 . 4 8 . 2 3 2 . 0 8 . 0 3 1 . 2 7 . 5 3 0 . 4 8 . 4
Total 3 0 . 9 8 . 3 2 9 . 6 8 . 3 2 9 . 2 7 . 9 2 8 . 9 8 . 6
Combined
Male 2 8 . 6 7 . 4 2 7 . 9 6 . 9 2 6 . 1 6 . 4 2 6 . 2 7 . y
Female 3 4 . 0 1 0 . 6 3 2 . 7 9 . 6 3 2 . 2 9 . 8 3 1 . 4 1 0 . 9 -
Total 3 1 . 3 9 . 5 3 0 . 3 8 . 6 2 9 . 1 8 . 8 2 8 . 7 9 . 5
Note; Combined scores are the combined scores of the exercise conditions including
racquetball, weight training and swimming.
APPENDIX G
GRAPHS
58
Longitudinal SPAS Scores of Men in an Exercise versus a Control Group
O O <o </> < GL </>
34 i
32 -
30
Control group Exercise Group
1 2 3 4
Administration time (Each number is a 4 week increment)
Longitudinal SPAS Scores of Women in an Exercise versus a Control Group
O o (ft
</>
< CL CO
35 -i
34 -
33 -
32
31
Control group Exercise Group
nr 2
n r 4
Administration time (Each number is a 4 week increment)
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