Examining the Effects of Sport and Exercise Interventions on Body Image Among Adolescent Girls: A Systematic Review.
McIntosh-Dalmedo, Sharon ; Devonport, Tracey J. ; Nicholls, Wendy 等
Examining the Effects of Sport and Exercise Interventions on Body Image Among Adolescent Girls: A Systematic Review.
Body image has been described as a person's perceptions,
thoughts, and feelings about their body (Grogan, 2016). Body image is a
multifaceted construct consisting of a variety of measured dimensions
(Thompson, 2004; Thompson, Heinberg, Altabe, & Tantleff-Dunn, 1999).
This includes perceptual, cognitive, affective and behavioral components
(Bane & McAuley, 1998). Body image dissatisfaction (BID), defined as
a subjective negative evaluation of one's physical appearance
(Presnell, Bearman, & Stice, 2004), has been the focus of much
research to date. In Western societies, BID is suggested to be so
widespread, particularly among females (Salk & Engeln-Maddox, 2012),
that is has been described as normative discontent (Cash & Smolak
2011; Hardit & Hannum, 2012; Rodin, Silberstein, &
Striegel-Moore, 1984; Tantleff-Dunn, Barnes, & Larose, 2011).
There is a wealth of research indicating that, across a lifespan,
females are more likely to experience BID when compared to their male
counterparts (Buchanan, Bluestein, Nappa, Woods, & Depatie, 2013;
Elgin & Pritchard, 2006; Feingold & Mazzella, 1998; Sweeting
& West, 2002). Indeed, girls as young as five years of age have been
found to convey dissatisfaction with their body shape and (or) size
(Davison, Markey, & Birch, 2000). As children transition from
preadolescence into their next stage of maturity, adolescence becomes a
significant phase in the development of body image (Fenton, Brooks,
Spencer, & Morgan, 2010; Kostanski, Fisher, & Gullone, 2004). In
the present study, we utilised the World Health Organisation (WHO)
guidelines which describes adolescence as occurring between 10-19 years
of age. Body image dissatisfaction has been reported to intensify during
adolescence, most notably amongst girls, due to the bodily changes that
take place during puberty (Bucchianeri, Arikian, Hannan, Eisenberg,
& Neumark-Sztainer, 2013; Calzo et al., 2012; Maxwell & Cole,
2012). Furthermore, an increasing regard for the opinions of others
during adolescence exacerbates the potential for BID (Reber & Reber,
2001). Despite adolescence presenting a potentially volatile time for
body image, previous research has typically focused on young adults,
with studies of adolescents being less common (Mellor et al., 2013;
Rubin, Gluck, Knoll, Lorence, & Geliebter, 2008; Williams,
Ricciardelli, McCabe, Waqa, & Bavadra, 2006).
In looking to develop and deliver body image interventions, there
is growing support for the notion that participation in sport and
exercise can enhance body image perceptions (Abbott & Barber, 2011;
Daniels & Leaper, 2006; Fox, 2000; Hausenblas, Cook, &
Chittester, 2008; Langdon & Petracca, 2010; Slater & Tiggemann,
2011; Swami & Tovee, 2009). Three meta-analyses demonstrated small
(Campbell & Hausenblas, 2009; Hausenblas & Fallon, 2006) to
moderate (Reel et al., 2007) effects of exercise on body image (based on
57, 121 and 35 studies respectively), whereby an exercise intervention
had the observed outcome of improved body image. However, the design of
any sport and/or exercise intervention must account for the complex
nature of the association between body image and motivation to exercise,
which may vary according to demographics. The above meta-analysis
included broad demographic samples (males and females across a broad age
range), and thus it is difficult to inform interventions for female
adolescence with confidence. Whilst a desire to improve body image can
act as a motivator to exercise in certain individuals, for others, it
may present an obstacle for exercise participation (Focht &
Hausenblas, 2004; Schuler et al., 2004). For example, Slater and
Tiggemann (2010) noted that females (aged 13 to 15 years) frequently
reported appearance-based concerns as a reason for ceasing participation
in sport and exercise. In a follow up study, teasing and body image
concerns appeared to contribute to reduced rates of participation in
sports and other physical activities among adolescent girls (aged 12 to
16).
Within the present review, elucidating the outcomes of different
sport and exercise interventions on body image may help identify
effective strategies for enhancing body image. The aim of the present
review is to provide a systematic evaluation of sport and (or) exercise
interventions that seek to enhance body image among female adolescents.
Specifically, this review will synthesize findings to address the
following objectives:
(a) to examine the effects of sport and/or exercise interventions
on female adoles cent body image;
(b) to critique included studies highlighting the implications for
future research practice.
Method
To ensure methodological rigor, objectivity and replicability, the
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
guidelines (PRISMA; Higgins & Green, 2009; Petticrew & Roberts,
2005) were applied. The review was registered on PROSPERO
(CRD42016037225) and all aims, inclusion criteria, data extraction, and
data quality evaluation were specified at the outset.
Procedure for Search Strategy and Study Inclusion
A primary systematic search of six electronic databases through
EBSCO was conducted (Medline, PsycINFO, SPORTDiscus, Child and
Adolescent Studies, Education Research Complete, and Psychology and
Behavioral Sciences) from inception up to and including March 2016.
Search terms included "body image", "adolescence",
"sport and exercise", and "intervention" (see
Appendix for the complete search strategy). For inclusion, there had to
be consensus that the following criteria were met:
(a) peer reviewed journal article published in the English
language;
(b) data were reported from female adolescents;
(c) an exercise or sport intervention was delivered;
(d) intervention had a measured attempt to affect positive body
image change;
(e) the outcomes were measured (quantitative or qualitative) with
data at baseline and post-intervention;
(f) study sample should not include clinical populations or
subpopulations with known differences that could obscure the direct
examination of the effect of sport and exercise (e.g., illnesses or
disease; physical disabilities, elite adole cent athletes, young
offenders, or statemented adolescents with educational or behavioral and
emotional needs).
Reference management software was used to organize citations
(Endnote XI). The primary search yielded 4,210 records (see Figure 1),
which following deduplication reduced to 3,073. These titles were
independently screened by three reviewers to identify studies. Following
title screening, 3,015 titles were excluded. Where there was
disagreement, the full text manuscript was consulted, and for a paper to
be included, there had to be consensus that the above inclusion criteria
were met.
A full screen of the remaining 58 papers resulted in a further 52
exclusions as follows; (a) sport and/or exercise was not delivered as a
body image intervention (n = 28); (b) non-target population (e.g., wrong
age, clinical population, coaches; n = 17); (c) results not reported for
females or male participants only (n = 4); (d) technology or
computer-based interventions (n = 2) and, (e) a meta-analysis (n = 1 :
Campbell & Hausenblas, 2009).
Data Extraction
Data extraction parameters were established in line with the
research questions and data extraction was processed using Microsoft
Excel. This facilitated the capture of pertinent information including
sample, measures, intervention characteristics, body image outcomes,
research limitations, and implications for future practice (see Table
1).
Data Quality
The methodological quality of the included studies was scored and
assessed using the standard quality assessment for evaluating primary
research papers (for details see Kmet et al., 2004). Kmet et al. (2004)
provides comprehensive guidelines (pp. 14-22) to ensure that the scoring
of quality within and between systematic reviews is completed to a given
standard. Synthesizing data quality scores "provides a systematic,
reproducible and quantitative means of simultaneously assessing the
quality of research encompassing a broad range of study designs"
(Kmet et al., 2004, p. 11). Studies were evaluated on 20 criteria
spanning design, sampling, methodology, analysis, results and
conclusions. For each criterion, benchmark statements are provided to
guide scoring. Papers scored 2 (good), 1 (partial fulfilment), 0 (not
fulfilled), or X (not relevant), possible score range was 0-2, with a
higher score indicating better quality (Kmet et al., 2004). A mean score
was calculated for each paper to give an overall rating of quality. In
addition, a mean score for each of the sub-criteria was used to indicate
the relative strengths and limitations across included studies, with the
mean scores (SD) for individual studies presented in Table 1.
Results
Characteristics of the Included Studies
Included studies (see Table 1) originated from the USA (n = 2;
Gehrman, Hovell, Sallis, & Keating, 2006; Waldron, 2007); UK (n = 2;
Burgess et al., 2006; Daley & Buchanan, 1999); Canada (n = 1; Boyd
& Hrycaiko, 1997); and Sweden (n = 1; Lindwall & Lindgren,
2005). One study included male and female participants but reported
female data separately (Gehrman et al., 2006). The remaining studies had
female only samples, with participant numbers ranging from 50 (Burgess
et al., 2006) to 181 (Boyd & Hrycaiko, 1997). Mean age was reported
in four studies, and ranged from 11.5 (SD = 0.96; Gehrman et al., 2006)
to 16.35 years (SD = 1.56; Lindwall & Lindgren, 2005). Three studies
failed to report ethnicity (Boyd & Hrycaiko, 1997; Daley &
Buchanan, 1999; Lindwall & Lindgren, 2005), whilst two studies
(Burgess et al., 2006; Waldron, 2007) simply reported ethnicity as
predominately Caucasian. Gehrman et al. (2006) reported participants as
45% Caucasian, 38% Hispanic, 8% African-American, and 8% as
"other" ethnic backgrounds. Social and economic data were
presented in two studies reporting participants to be of lower
socioeconomic status (Burgess et al. 2006; Lindwall & Lindgren,
2005).
Sport and exercise interventions were delivered within schools (n =
4; Boyd & Hrycaiko, 1997; Burgess et al., 2006; Daley &
Buchanan, 1999; Lindwall & Lindgren, 2005) or the to the community
(n = 2; Gehrman et al., 2006; Waldron, 2007). Of these, five prescribed
exercise, those being weight circuits (Boyd & Hrycaiko, 1997),
non-competitive games and weight-bearing activities (Gehrman et al.,
2006), aerobics (Burgess et al., 2006; Daley & Buchanan, 1999) and
an established 5km running training programme (Waldron, 2007). One study
allowed self-selected exercise (Lindwall & Lindgren, 2005), with
selected activities including: aerobics, water aerobics, step-up,
spinning, dancing, yoga, badminton, kick-boxing, climbing, bowling,
karate, jujitsu, and different ball-games. The duration of exercise and
sport interventions ranged from five-weeks (Daley & Buchanan, 1999)
to six-months (Lindwall & Lindgren, 2005). Five studies reported the
session length, with interventions delivered through sessions varying
from 40-minutes (Boyd & Hrycaiko, 1997) to 120-minutes (Gehrman et
al., 2006), producing a mean of 72 minutes (SD = 32.71). Three studies
combined taught or discussion-based components alongside exercise
components (Boyd & Hrycaiko, 1997; Gehrman et al., 2006; Lindwall
& Lindgren, 2005).
Six different measures of body image were utilized across included
studies. Only one measure (Physical self-perception profile; Fox &
Corbin, 1989) was common to two studies (Daley & Buchanan, 1999;
Lindwall & Lindgren, 2005) and no further consistency in measurement
of body image was observed. Other variables measured included;
physiology (n = 3; Burgess et al., 2006; Gehrman et al., 2006; Lindwall
& Lindgren, 2005), participation in exercise (n = 2; Burgess et al.,
2006; Daley & Buchanan, 1999), and eating behavior (n = 1; Gehrman
et al., 2006). Details of measures used are included in Table 1.
Narrative Synthesis of Findings and Discussion
Having first discussed data quality, the findings of this
systematic evaluation are synthesized and discussed in accordance with
the stated aims. These were (a) to examine the effects of sport and/or
exercise interventions on body image (b) to critique included studies
highlighting the implications for future research practice.
Data Quality
The possible range of scores on the quality assessment was 0-2,
with a higher score indicating better quality (Kmet et al., 2004). The
mean scores (SD) for individual studies are presented in Table 1. The
overall mean score for data quality was 0.90 (SD = 0.22), pointing to a
poor quality of research on this topic. The range was 0.67 (SD = 0.69;
Boyd & Hrycaiko, 1997) to 1.16 (SD = 0.83; Lindwall & Lindgren,
2005). One of the included studies scored more than one standard
deviation below the sample mean (Boyd & Hrycaiko, 1997). The mean
scores (SD) for individual indicators of quality across all quantitative
studies are presented in Table 2 (n = 6). Of the indicators that were
assessed, studies performed particularly poorly on experimental
methodology. This was due to limitations such as failure to account for
or control confounding factors, randomization not being performed
rigorously, nor with the appropriate blinding of participants or
investigators, and a failure by all included studies to collect
long-term follow up data. Studies overall performed comparatively well
on use of suitable and validated predictor and outcome measures, and
specifying a clear hypothesis.
The Effect of Sport and Exercise Interventions Body Image
Two studies revealed significant improvements in one or more sub
measure of body image. Daley and Buchanan (1999) asked an experimental
group to complete a one hour aerobics class, once a week, for
five-weeks, in addition to compulsory physical education. The
experimental group improved physical self-worth, sports competence,
strength competence, and body attractiveness over time when compared to
a comparison group (partaking in compulsory physical education one-hour
per week). Changes in exercise behaviors were not reported for either
the experimental or comparison group. In a six-month intervention,
Lindwall and Lindgren (2005) offered 45-minutes of self-selected
exercise activities and 14-minutes of discussion on healthy lifestyles
twice a week. A waiting-list control group had no organized activity.
After the intervention, when conducting analysis that excluded
participants with missing data, the intervention significantly reduced
social physique anxiety and increased scores on three subscales from the
physical self-perception profile (sport competence, physical
conditioning and physical self-worth). However, when undertaking more
conservative intent-to-treat analysis (i.e., including all participants
that were originally allocated to conditions), no effect of intervention
on the physical self-perception profile was observed, but effect of the
intervention on social physique anxiety (over time and between groups)
was still observed, with those in the intervention having an improved
score post-intervention. These positive changes were not associated with
changes in physiological variables.
No intervention effect on body image was found across four studies.
Boyd and Hrycaiko (1997) found no significant main effect of a six-week
intervention (comprised of physical activity (training, cardiovascular
and agility), education (healthy lifestyle, weight management, healthy
role models), and self-report (logbooks tracking own performance) on
general self-esteem when compared with a control group doing regular PE
lessons. Gehrman et al. (2006) delivered an eight-week intervention,
providing sessions designed to teach the importance of physical activity
in overall health and non-competitive games and weight-bearing
activities designed to enhance bone health. The intervention did not
have a significant effect upon body dissatisfaction, drive for thinness,
or weight concerns; with mean scores for body dissatisfaction following
the same pattern for the intervention group when compared to the
comparison group who completed training on injury prevention.
Burgess et al. (2006) utilized a cross-over design with two
equivalent groups who participated in a comparison condition
(conventional British physical education swimming program), and an
experimental condition (aerobic dance). Both groups completed both
conditions in a counterbalanced order. Within the inferential analysis,
the differences between conditions were not reported, therefore for the
purpose of comparing conditions, we report the means. No differences
were found between the experimental and comparison condition in physical
activity participation over time. Means show attractiveness was
marginally higher, and disparagement and feeling fat marginally lower in
the aerobic condition, when compared to the swimming condition. Waldron
(2007) delivered a running intervention comprised of 90 minute sessions,
twice a week for 8-12 weeks. There was no change in self-perception
subscales observed post intervention. However, interviews indicated that
following intervention, the girls expressed greater acceptance of the
self, improved physical fitness, and enhanced knowledge of taking care
of their body.
Critique of Included Atudies and Recommendations for Future
Research Practice
Analysis of the data quality assessment highlighted that included
studies were poor in their application of experimental method, which
might have introduced bias or confounding factors. In particular, none
of the included studies detailed whether the aims of the study were
concealed from participants. This may mean that participants could guess
the aims of the study and be unduly influenced. Likewise, investigators
were not blinded as to the group's activities when analysis took
place, and again this may introduce bias. In addition, key details were
omitted from reporting. For example, only one study reported the level
of attendance at the intervention (Lindwall & Lindgren), at a rate
of 56% (SD = 19%). Where no effect is observed, poor attendance or
adherence with the intervention may be an explanatory factor.
Sampling strategies used in the included studies present
limitations that require consideration. The predominant strategies used
were convenience samples from schools (Boyd et al., 1997; Daley &
Buchanan, 1999), or the community (Waldron, 2007), or selectively
sampled participants for characteristics such as low physical activity
levels (Burgess et al., 2006; Gehrman et al., 2006; Lindwall &
Lindgren, 2005). Two studies (Gehrman et al., 2006; Lindwall &
Lindgren, 2005) randomly assigned participants to conditions. Daley and
Buchanan (1999) acknowledge that random sampling is preferable, but
state that this was impractical in a school setting where girls were
asked to voluntarily stay behind after school for intervention
activities.
Studies comprised of volunteers (e.g., Daley & Buchanan, 1999),
selective sampling of participants scoring low at baseline testing on a
variable of interest (e.g., body attitudes, Burgess et al., 2006), or
selective sampling from a population hypothesized to be less physically
active (e.g., low socioeconomic status communities; Burgess et al.,
2006; Lindwall & Lindgren, 2005). Volunteer-based recruitment
strategies might result in biased samples because participants might
have an increased desire to take part (Lubans & Sylva, 2006;
Mauriello et al., 2010). Selective sampling of participants scoring low
on a variable of interest increases the likelihood that improvements on
this variable may be observed over time as compared to a sample scoring
higher at baseline. This was illustrated by Walters and Martin (2000)
who found no significant improvement in the self-concept of school
children (male and female) following a 13-week aerobic exercise
intervention. The authors suggested that as pretest self-concept scores
were generally high, this left limited scope for further increases (a
ceiling effect). Similarly, Raglin (1990) found exercise did not
decrease levels of depression in those whose initial scores fall within
normal range, noting "exercise does not make normals more
normal" (p. 325).
When evaluating control or comparison conditions, one study had a
waiting list control group who were inactive (Lindwall & Lindgren,
2005), whilst one study employed a within subjects design (Waldron,
2007). Three studies included a comparison group participating in a
different sport or exercise activity to the intervention group (Boyd
& Hrycaiko, 1997; Burgess et al., 2006; Daley & Buchanan, 1999),
whilst one study had a comparison group completing a non-sport activity
(Gehrman et al., 2006). This presents a confounding factor, as if sport
and exercise activities were to have an effect on body image, this
effect should also be observed in any comparison group participating in
a different sport or exercise activity to the intervention group.
Comparison group activities are described in Table 1.
When choosing to utilize swimming as the comparison group activity,
Burgess et al. (2006) rationalised that swimming has been reported to be
one of the most disliked physical education activities for adolescent
females, and may not benefit body image. Dislike for swimming is
partially attributed to the tight, form-fitting, swimsuits that are
associated with increases in self-consciousness and body image
dissatisfaction (Reel, Petrie, SooHoo, & Anderson, 2013). Evidence
for this contention was provided by Thogersen-Ntoumani, Ntoumanis,
Cumming, Bartholomew, and Pearce (2011) who demonstrated that wearing
tight/ revealing exercise attire heightened physically active female
university students' levels of state self-objectification. Among
individuals with low self-esteem, this heightened self-objectification
associated with low satisfaction with body shape and size. With regards,
the findings of Burgess et al. (2006), they found that attractiveness
was marginally higher, and disparagement and feeling fat marginally
lower in the aerobic condition, when compared to the swimming condition.
There was little consistency in the physical activity offered as an
intervention across included studies. An aerobics based intervention had
a positive change on body image (Daley & Buchanan, 1999), with the
authors noting that female participants may have greater confidence in
their capacity to participate in gender typed 'feminine'
activities (Clifton & Gill, 1994; Lirgg 1991). A second study
delivering an aerobics intervention (Burgess et al., 2006) did not have
a significant effect on body image, however, as previously noted, the
poor methodology applied in this study, and the consequent lower data
quality score mean that less emphasis should be placed on this study in
the context of this review. Where a competitive element was implied in
the intervention delivered (e.g., training for a 5k race, Waldron,
2007), no significant effect of intervention on body image was observed.
It has been suggested that for female adolescents in particular,
competitive sports may increase unrealistic expectations and have a
negative influence on self-concept, self-esteem and self-confidence
(Cox, Schofield, & Kolt, 2010).
Three included studies provided multiple physical activities as
interventions. Where this involved self-selected activities along with a
discussion component (Lindwall & Lindgren, 2005), positive change in
body image was found. By contrast, two studies providing multiple
physical activities alongside a logbook and education (Boyd, 1997;
Gehrman, et al., 2006) had no significant effect on body image. It may
be that presenting the opportunity to partake in self-selected
activities was the key factor in determining the positive change in body
image observed following the intervention delivered by Lindwall and
Lindgren (2005). Arguably self-selecting exercise activities supports
self-determined behaviors, and may therefore create more opportunity to
have a positive effect on body image (Thogersen-Ntoumani &
Ntoumanis, 2007). In the study by Lindwall and Lindgren (2005),
activities were designed to encourage self-control, pride in their body,
and competence through promoting their abilities to meet their needs,
and where necessary to engage other resources. Exercise enjoyment was a
key aim of this study.
An important consideration when undertaking body image research is
the selection of measures used, with assessment errors characterizing
much of the work in this area (Thompson, 2004). Thompson (2004) notes
that it is vitally important that researchers clearly identify the
dimension of body image they wish to investigate, and then select a
measure that assesses this specific dimension. Attention to such detail
is necessary to help understand which, if any, aspect of body image is
responsive to sport and exercise interventions. It is quite plausible
that some components may not change (e.g., body image investment),
whereas, other components (e.g., weight-specific dissatisfaction) may
improve. Thus, clearly articulating and adhering to dimensions of body
image underpins the evaluation and advancement of theories of body image
(Thompson, 2004). Whilst the measures used (see Table 1), along with the
titles of included studies, infer a focus on body image perceptions
across the majority of included studies (Burgess et al., 2006; Daley
& Buchanan, 1999; Lindwall & Lindgren, 2005; Waldron, 2007),
none of the included studies sufficiently acknowledged the dimension of
body image assessed, or justify the measure(s) of body image used.
Similarly, measuring physical activity can be a complicated
endeavour, as all measures have known limitations (Baranoski, Thompson,
Durant, Baranoski, & Puhl, 1993). Failing to sufficiently control
basic exercise variables (frequency, duration, and intensity) in order
to account for fitness improvements and heterogeneity of outcome
measures was a limitation of the included studies (Campbell &
Hausenblas, 2009). Physical activity (frequency, intensity and type) was
commonly recorded via self-report (Boyd & Hrycaiko, 1997; Burgess et
al., 2006; Daley & Buchanan, 1999). This does not provide the most
accurate form of recording information, particularly in both pediatric
and adolescent populations, as this subjective technique may lead to
inaccuracy, falsification, or over, or underestimation of actual
physical activity levels (Godin, Jobin, & Bouillon, 1986; Sallis
& Saelens, 2000; Shephard, 2003; Sirard & Pate, 2001; Welk et
al., 2000). None of the included studies analyzed data pertaining to the
intensity of the activity participants engaged with in the intervention.
Exercise intensity is positively correlated with psychological benefits
in adolescents (Biddle & Asare, 2011). This is therefore a variable
to consider both in the design of the interventions, and as a covariate
in assessing the effect of interventions on outcome measures that are
salient. Usage of accelerometers in gathering data would enable physical
activity to be measures with greater precision and confidence. In
particular thigh-worn accelerometers support a more sensitive and
specific evaluation of exercise frequency, duration, and intensity
(Montoye, Pivarnik, Mudd, Biswas, & Pfeiffer, 2016).
With respect to the treatment of data, there were examples where
the analysis undertaken was inappropriate, meaning that the findings
could not sufficiently address the study aims. For example, Burgess et
al. (2006) employed a counterbalanced design including two groups and
two conditions across three time points. Whilst this was an example of
good study design, the analysis did not include a variable to describe
'condition'. Therefore, the effect of the condition on the
outcome variables could not be assessed. In a further example, Boyd and
Hrycaiko (1997) substituted a 'difference' score into the
ANOVA, instead of using the raw scores for pre and post-intervention.
Consequently, the effect of the interaction between groups over time on
body image could not be assessed, and the lack of descriptive statistics
makes interpretation of their findings difficult. Similarly, Gehrman et
al. (2006), included post-test scores as a co-variate, so again there
was no clear analysis of the effect of the intervention on body image
over time.
Included studies reported a large number of analyses. The reporting
was unclear in some cases, and did not allow for the number of analyses
conducted to be discerned (e.g., Boyd & Hrycaiko, 1997). Conducting
many analyses increases the possibility of a type one error, with only
two studies controlling for this in their interpretation of findings
(Daley & Buchanan, 1999; Waldron, 2007). In some cases, small sample
sizes precluded the application of multivariate analysis, meaning that
repeated paired t-tests (Waldron, 2007) or ANOVA (Boyd & Hrycaiko,
1997) were used. For other studies, it was unclear why some of the
analyses were presented. For example, Gehrman et al. (2006) included
gender as an independent variable, where it would have been more
appropriate to their aims to include pre and post-intervention scores in
the analyses as an independent variable, as their study aimed to examine
the effect of the intervention on body image. Boyd and Hrycaiko (1997)
applied a mean-split based on scores on self-concept, and used this as
an independent variable in analyses, although the independent variables
were described as the intervention condition versus control condition
and the age of participants. Only one study reported a strategy for the
imputation of missing variables (Lindwall & Lindgren, 2005). The
same study also reported intent-to-treat analyses, which include all
participants who are randomized to a treatment (including drop-outs) and
are therefore more conservative than analyses of only those who do not
drop out.
Conclusion
The present review evidences two interventions which had a positive
effect on body image. These two studies indicate that the use of
gender-aligned, or self-selected sport and exercise activities,
undertaken in conjunction with careful discussion around empowering
adolescent females, may have positive outcomes for body image. However,
an ability to draw conclusions regarding the potential for sport and
exercise interventions to help promote positive body image among female
adolescents is presently limited by the overall poor quality of research
in this area. There is a need to undertake future research with greater
methodological rigor as detailed by the present systematic review. This
includes more careful attention to considerations such as participant
sampling, control conditions/groups, measurement of key variables,
intervention features, and analysis of data.
Appendix A
Example search strategy
1. Body?image
2. Self?image
3. Physical self?efficacy
4. Body?satisfaction
5. Body?shame
6. Physical self concept
7. Physical self-concept
8. Adolescen*
9. Young?adult
10. Teen*
11. Child*
12. Physical activity
13. Sport*
14. Exercis*
15. Interv*
16. Train*
17. 1 or 2 or 3 or 4 or 5 or 6 or 7
18. 8 or 9 or 10 or 11
19. 12 or 13 or 14
20. 15 or 16
21. 17 and 18 and 19 and 20
Sharon McIntosh-Dalmedo, Tracey J. Devonport, Wendy Nicholls, and
Andrew P. Friesen
University of Wolverhampton
Address correspondence to: Tracey Devonport, Institute of Sport and
Human Science, University of Wolverhampton, UK. Email:
T.Devonport@wlv.ac.uk
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Caption: Figure 1. Selection of Studies for Inclusion in Review
Table 1
Characteristics of included Studie
Mean
Author & Year Age (a) (sd) Design
Boyd & NR Experimental
Hrycaiko, (range design
1997 9-16) Comparing
age group
(Pre, early,
mid adolescence)
and comparing
intervention
with a
comparison
condition (c).
Measures
taken pre
and post
intervention.
Burgess, 13.5 Experimental
Grogan, & (0.3) design
Burwitz, comparing
2006 intervention and
comparison
groups.
Counterbalanced
intervention
delivery.
Measures
pre, mid,
post-intervention.
and 12-week
follow up.
Daley & NR Experimental
Buchanan, (range design
1999 15-16) comparing
intervention
(n = 43) and
comparison
condition
(n = 70). Measures
taken pre and
post-intervention.
Gehrman, 11.5 Experimental
Hovell, (0.96) (b) design. Random
Sallis, & allocation
Keating, to intervention
2006 (n = 49) or
comparison
condition
(n = 35). Measures
at pre and
post-intervention.
Lindwall 16.35 Experimental
& Lindgren, (1.56) design with random
2005 assignment to
intervention
group (n = 27,
or waiting list
control group
(n = 35).
Measures
at pre and
post-intervention.
Waldron, 11.51 Mixed design.
2007 (0.37) with no
control group.
Measures at
first and final
week of the
course.
Intervention-sport/
Author & Year Sample exercise type
Boyd & A non-random Three components;
Hrycaiko, convenience (1) physical
1997 sample of 181 activity
school girls, (strength
described as training, CV and
pre, early. agility--precise
and mid activities were
adolescence. tailored to
Subjects the group),
scoring in (2) education
the 50th (healthy life
percentile style, weight
or lower on management,
the SDQ were healthy role
assigned to the models), (3)
low self-esteem self-report
group. (log books tracking
own performance).
Burgess, 50 British Aerobic
Grogan, & school girls dance--warm up,
Burwitz, from a dance workout,
2006 specialist cool down &
sports college; stretch.
selective Control group
sampling of partook in
participants swimming
with low lessons.
physical
self-perception
and high
body image
dissatisfaction.
Daley & 113 British school Aerobics
Buchanan, girls (from a (warm up,
1999 single-sex school) aerobic workout.
resistance.
cool down and
stretches).
Gehrman, 84 American Parent groups
Hovell, children taught behavior
Sallis, & (females modification
Keating, n = 52, males techniques
2006 n = 32). to increase
Participants activity and
were eligible change dietary
if their BM1 habits in children.
<32, and Children
they were participated in
not currently fitness sessions
participating and provided
in organized information
sports for regarding nutrition.
three or Children
more days completed
per week activity logs.
The comparison
group completed
family sessions
on the subject of
injury nrevention.
Lindwall Non-physically Self-selected
& Lindgren, active Swedish exercise activities
2005 adolescent and discussion
girls recruited on healthy
from schools. lifestyles.
Eligible if they Control group
were active had no organized
for less than activity.
20 minutes
per day,
exercise less
than once a
week, and
medically
healthy.
Waldron, An Structured
2007 American coaching
community programme
sample of 34 based on
schoolgirls. Harter's model
of competence
motivation
culminating in
a 5km running
race.
Frequency
Author & Year and Duration Measures
Boyd & 40-minute Selt-Description
Hrycaiko, sessions Questionnaire
1997 over six I and II
weeks. (Marsh, 1988)
Pre-adolescent subscales;
participants general
had nine self-esteem,
sessions. physical
Early and self-concept,
mid-adolescent physical abilities,
groups had 12. physical
appearance.
Burgess, Fifty-minute Body attitude
Grogan, & classes, twice questionnaire
Burwitz, a week for (Ben-Tovim
2006 six-weeks. & Walker 1991)
Children and
Youth Physical
Self-perception
profile
(Fox & Corbin, 1989)
Leisure time
physical
activity
questionnaire
(Aaron, Kriska, &
Dearwater, 1995).
Body Mass Index.
Daley & One hour Physical
Buchanan, of physical self-perception
1999 education profile (Fox &
plus one Corbin, 1989)
hour of Participation
aerobics for in physical
five-weeks. activity
Control questionnaire
group (Daley &
partook in Parfitt, 1996).
one hour
of physical
education
per week.
Gehrman, An eightweek Eating Disorders
Hovell, physical Inventory-2
Sallis, & activity and (Garner, 1991)
Keating, nutrition Weight concerns
2006 intervention. scale (Killen
Frequency and et al., 1994),
duration of physical
sessions not maturity--Tanner
reported. Scale Drawings
Control (Morris & Uldry,
condition 1980), Body
was two-hour Mass Index,
family sessions, Parental Body
delivered weekly Mass Index.
for eightweeks.
Lindwall 45-min Physical
& Lindgren, exercise self-perception
2005 sessions profile
followed (Fox & Corbin, 1989).
by 15-min Social physique
healthy anxiety scale
lifestyle (Hart, Leary, &
discussion Rejeski 1989)
delivered Body mass
twice a index and
week for submaximal
six-months. oxygen uptake.
Waldron, Ninety Selt-perception
2007 minute profile for
Girls on adolescents
Track (subscales;
running physical
sessions, competence,
twice a physical
week for appearance
eight-12 competence,
weeks. self-worth;
Harter, 1988).
Semi-structured
interviews.
Mean data
Author & Year Main findings quality (sd)
Boyd & No significant 0.67
Hrycaiko, main effect of (0.69)
1997 intervention
on self-esteem
(or the physical
appearance
sub-scale).
Burgess, Means show 1.12
Grogan, & attractiveness (0.78)
Burwitz, was marginally
2006 higher in
the aerobic
condition, and
disparagement,
feeling
fat and were
marginally
lower when
compared to
the swimming
group. No
significant
differences in
pre-to-mid,
mid-to-post
or pre-to-post
BMI scores
for both
groups.
Daley & The experimental 0.72
Buchanan, group improved (0.67)
1999 physical selfworth,
sports competence,
strength competence,
and body
attractiveness
over time when
compared to
the comparison
group.
Gehrman, Mean scores 1 (0.77)
Hovell, for females
Sallis, & on body
Keating, dissatisfaction
2006 followed the same
pattern for the
intervention
group when
compared to
the control
group.
Lindwall No significant 1.16
& Lindgren, difference (0.83)
2005 in physical
self-perception
observed
between
groups,
both groups
improved
significantly
over time.
Improvement
in social
physique anxiety
scale over
time for
intervention
group compared
to control group.
Waldron, No change in 0.72
2007 self-perception (0.57)
subscales
observed at
follow up.
Interviews
indicated that
following
intervention,
the girls
expressed
greater
self-acceptance,
improved
fitness, and
enhanced
knowledge of
body care.
Notes.
(a) Where mean age is not reported, age range is provided.
(b) Mean age is reported from the whole sample, separate data were not
available fro females.
(c) Group sizes NR for each condition.
Table 2
Quality review scores
Item Indicator of Quality Mean (SD)
13 Quality of measures 1.67 0.52
1 Hypothesis 1.67 0.52
3 Predictor and outcome measures 1.50 0.84
2 Study design 1.33 0.52
7 Describing those lost to follow up 1.20 0.84
6 Sample descriptions 1.17 0.98
14 Methods of analysis 1.17 0.41
5 Selection is unbiased 1.00 0.63
19 Description of findings 1.00 0.00
10 Description of trial 0.83 0.41
8 Sample size 0.83 0.41
20 Conclusions 0.67 0.52
15 Inclusion of effect sizes 0.50 0.55
11 Concealment of randomization from participants 0.67 1.03
4 Follow up 0.33 0.52
9 Randomization 0.50 0.84
16 Control for confounding variables 0.17 0.41
17 Concealment of randomization from investigators 0.00 0.00
Note. Item 18 referred to adjustments in analysis made
for the differences in timing of follow up data collection.
Since none of the studies collected follow up data, this
item has been omitted here. Item 12 was omitted as it
was not relevant to the included studies.
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