Abstract
Background:
This study explores cross-sectional associations between yoga and body image, mindful eating, disordered eating, and muscle-enhancing behaviors among a population-based sample of ethnically/racially diverse emerging adults.
Methods:
An ethnically/racially diverse population-based sample of 1,568 emerging adults (18-26 years) completed surveys as part of EAT 2010-2018 (Eating and Activity over Time). Models adjusted for sociodemographic characteristics and body mass index (BMI).
Results:
Practicing yoga at least 30 minutes/week was reported by 12.7% (n=210) of the sample. Yoga practitioners had higher levels of mindful eating than those not practicing yoga. Although effect sizes were small, yoga practitioners were more likely than non-yoga practitioners to use steroids (3.8% vs. 0.7%, p<.001, h=0.22) or protein powder/shakes (35.1% vs. 25.3%, p<.010, h=0.21) to increase their muscle size/tone. Body satisfaction, unhealthy weight control behaviors, and binge eating tended to be similar among yoga practitioners and non-yoga practitioners. There was a significant interaction between BMI and yoga in predicting body satisfaction with a trend toward a positive impact among yoga practitioners at higher BMI values. Interactions between yoga practice and all body image attitudes and behaviors across gender and ethnicity/race were not statistically significant.
Conclusions:
Young people from diverse ethnic/racial backgrounds who practice yoga are more likely to engage in mindful eating but have equal or elevated levels of unhealthy body image attitudes and behaviors as compared to non-yoga practitioners. Further research should explore how yoga is best taught and practiced to ensure that it is beneficial for body image and related behaviors.
Keywords: yoga, weight, eating disorders, body image, steroids, race, diversity, young adults
BACKGROUND
Body image concerns, disordered eating behaviors, and behaviors aimed at changing body shape and size are highly prevalent among adolescents and young adults (1-4). Behaviors such as engaging in movement and mindful eating are to be encouraged. For example, mindful eating (e.g., making conscious food choices in response to one’s hunger and satiety cues), has been found to be associated with decreased risk for binge eating, emotional eating, and eating in response to external cues (5). In contrast, body dissatisfaction, unhealthy weight control practices, and use of muscle enhancers, such as steroids, are problematic in that they may increase risk for adverse outcomes such as more severe disordered eating behaviors, clinical eating disorders, excessive weight gain, and cardiometabolic disturbances (6-11). Research suggests that the prevalence of disordered eating and unhealthy muscle-enhancing behaviors may be equally high, or even higher, among young people from ethnically/racially diverse or lower socio-economic backgrounds than among those from primarily white and middle or upper socio-economic backgrounds (2, 12-16).
Yoga is a mind-body practice that involves physical postures, breath work, mindfulness, meditation, self-inquiry, lifestyle practices, and for some, enhanced spirituality (17-19). The practice of yoga has several underlying tenets that may assist in promoting a positive body image and a reduction in harmful disordered eating and muscle-enhancing behaviors (18, 20-24). For example, traditional yoga encourages greater awareness and response to one’s physical, energetic, mental, emotional, and spiritual needs. Learning to connect to one’s body and developing a greater sense of awareness of the body from the inside-out, rather than outside-in, are key components to a positive sense of embodiment (22).
The practice of yoga has been shown to be associated with a number of positive physical and emotional health outcomes (25-29). Research specifically examining the relationships between yoga and body image, disordered eating behaviors, and eating disorders, suggests that yoga may be beneficial, although associations tend to be modest and are not always consistent across studies (21, 30-38). In a qualitative study, when young adults practicing yoga were asked about the impact of yoga on their body image, the vast majority discussed its positive impact of yoga (19). However, some of the responding yoga practitioners, particularly those with higher body mass index, also indicated that the yoga could have a negative impact on their body image, primarily via comparative critique (e.g., comparing one’s body with other students or the teacher). Given that the majority of extant research suggests that yoga may be helpful for body dissatisfaction and related behaviors, with little evidence of harmful effects, it is worthwhile to explore whether young people from ethnically/racially diverse and lower socio-economic backgrounds, who may be underserved with regard to prevention and treatment options, are engaging in yoga.
While the body of research on yoga is rapidly growing, there is a dearth of research on the practice of yoga and associations with body image and related behaviors that has been conducted with young people from diverse ethnic/racial and lower socio-economic backgrounds (39). Learning more about yoga practice among ethnically/racially diverse populations and associations with body image, mindful eating, disordered eating, and the use of supplements to change one’s muscular shape or size, can provide insight into who is practicing yoga and how best to address their needs. Therefore, the aim of the current study is to explore associations between yoga practice and variables of relevance to the promotion of a healthy body image and the prevention of disordered eating/eating disorders and unhealthy muscle-enhancing behaviors in a diverse population-based sample of emerging adults.
METHODS
Study Design and Population
Data were collected from 1,568 emerging adults (mean age=22.0±2.0, range: 18-26 years) as part of the EAT 2010-2018 (Eating and Activity over Time) study. EAT 2010-2018 is a population-based, longitudinal study of factors related to eating, activity, and weight-related health in young people from diverse ethnic/racial and socio-economic backgrounds. Middle school and senior high school students at 20 public schools in Minneapolis-St. Paul, Minnesota completed classroom surveys and anthropometric measures during the 2009-2010 academic year (EAT 2010) (2, 40, 41). Participants completed follow-up surveys in 2017-2018 (EAT 2018). The University of Minnesota’s Institutional Review Board Human Subjects Committee approved all protocols.
Survey Development and Variables
Key items from the EAT 2010 survey were retained on the follow-up EAT 2018 survey, while additions were made to assess new areas of interest (40, 42-44). Focus groups with 29 emerging adults were conducted to pretest the EAT 2018 survey. Test-retest reliability of measures was examined on a subgroup of 112 participants. All variables utilized in the current analysis were assessed on the EAT 2018 survey unless indicated otherwise.
To assess yoga practice, participants indicated if they had ever done yoga over the past year (yes/no) (test-retest agreement=89%). Those who had ever done yoga were additionally asked, “On average, how frequently did you do yoga over the past year?” Seven response options ranged from “less than ½ hour/week” to “10+ hours/week.” Respondents who engaged in yoga at least 30 minutes/week were identified as practicing yoga (test-retest agreement=86%). This cut-off was selected based on prior research using a similar cut-off (19, 38, 45, 46), the distribution of yoga practice in the population, and to ensure that those included in the yoga group were practicing, on average over the past year, for at least 30 minutes/week.
Body Satisfaction was assessed with a modified version of the Body Satisfaction Scale (47). Satisfaction with 13 parts of the body (height, weight, body shape, waist, hips, thighs, stomach, face, body build, shoulders, muscles, chest, overall body fat) was rated using five response categories ranging from “very dissatisfied” to “very satisfied” (Cronbach’s alpha=0.94; range: 13-65; test-retest r=0.80).
Mindful eating was assessed with four items from the Mindful Eating Questionnaire: “I eat so quickly that I don’t taste what I’m eating; I snack without noticing that I am eating; Before I eat I take a moment to appreciate the colors and smells of my food; I taste every bit of food that I eat.” (48). Each item had four response options. The first two items were reverse scored and items were summed to form a score (range: 4-16; test-retest r=0.67).
Body Mass Index (BMI) was calculated (weight in kg/height in m2) based on self-reported weight and height, which have been found to be highly correlated with measured BMI in young adults (males: r=0.95; females r=0.98) (49).
Unhealthy weight control behaviors were assessed by asking: “Have you done any of the following things in order to lose weight or keep from gaining weight during the past year?” (yes/no for each method). Practices categorized as extremely unhealthy weight control behaviors included 1) took diet pills, 2) made myself vomit, 3) used laxatives, and 4) used diuretics. Practices categorized as less extreme unhealthy weight control behaviors included 1) fasted, 2) ate very little food, 3) used a food substitute (powder or a special drink), 4) skipped meals, and 5) smoked more cigarettes. Those who responded “yes” for one or more methods were coded as users of extreme (test-retest agreement=93%) and less extreme unhealthy weight control behaviors (test-retest agreement=76%).
Binge eating was assessed with the questions: “In the past year, have you ever eaten so much food in a short period of time that you would be embarrassed if others saw you (binge eating)”? (yes/no). “During the times when you ate this way, did you feel you couldn’t stop eating or control what or how much you were eating?” (yes/no). Those who responded “yes” to both questions were categorized as engaging in binge eating (test-retest agreement=89%) (50).
To assess muscle-enhancing behaviors, participants were asked: “Have you done any of the following things in order to increase your muscle size or tone during the past year?” and specifically were asked to report (yes/no) on use of protein powder or shakes (test-retest agreement=88%) and steroid use (test-retest agreement=not available) (51-53).
Two items individually assessed moderate-to-vigorous physical activity (MVPA): “In a usual week, how many hours do you spend doing the following activities?” (Six response options ranged from none to six or more hours). Strenuous activity was described as activity during which the heart beats rapidly and moderate activity was described as not exhausting. Examples of activities were given after each question (test-retest r=0.72) (54).
Young people from socially marginalized ethnic/racial and low socio-economic backgrounds may have more adverse health consequences due to factors related to racism and social inequities, such as fewer resources aimed at health promotion, therefore it is important to assess both ethnicity/race and socio-economic status (SES). Ethnicity/race was assessed by self-report at baseline with the question: “Do you think of yourself as…? (You may choose more than one) (1) White, (2) Black or African American, (3) Hispanic or Latino, (4) Asian American, (5) Native Hawaiian or Pacific Islander, (6) American Indian or Native American, or (7) Other” (test-retest agreement=98–100%). The ethnic/racial identity of participants who chose “Hispanic or Latino” and “White” was categorized as Hispanic for analysis. Additionally, participants who reported more than one race (other than White), or reported Hispanic and any race other than White, were coded as “mixed” and combined with participants reporting “other” for analysis. Since very few participants reported “Hawaiian or Pacific Islander,” or did not respond, these participants were also included in the category “mixed or other.” SES classification was determined at baseline and was primarily based on the highest education level of either parent (1=did not finish high school, 2=finished high school or general equivalency diploma, 3=some college, 4=finished college, 5=master's or doctoral degree) with adjustments made for student eligibility for free/reduced-price school meals, family public assistance receipt, and parent employment status (55, 56). Adjustments were made using an algorithm that reduced SES classification by two levels if an adolescent’s family was receiving public assistance, and by one level if an adolescent was eligible for free or reduced-price school lunch or had two unemployed parents (test-retest r=0.90). For the current analysis, the five-level SES variable was collapsed to three groups (SES rank 1=low, SES ranks 2-3=middle, SES ranks 4-5=high). Additionally, on the EAT 2018 survey, participants were given three options for gender: Male, Female, or Different identity (please specify). Age was calculated based on reported birth date and date of survey completion.
Statistical Analysis
Analyses were conducted in SAS software (version 9.4, 2013; SAS, Inc., Cary, NC). Descriptive proportions of young adults practicing yoga by sociodemographic characteristics were summarized. Differences across sociodemographic characteristics were tested by logistic regression of yoga practice (yes/no) as the outcome on each characteristic as the predictors. Models were run unadjusted (e.g., for each sociodemographic characteristic separately), then simultaneously controlling for all sociodemographic characteristics and body mass index (BMI). Body satisfaction, mindful eating, disordered eating, and unhealthy muscle-enhancing behaviors were examined in relation to yoga practice using separate regressions of each measure (as the outcome) on yoga practice as the predictor controlling for sociodemographic characteristics and BMI. Continuous measures used linear regression, while dichotomous measures used logistic regression. Regression-adjusted means and proportions of each measure are presented by yoga practice as well as effect size differences (standardized mean difference Cohen’s d for mean differences, Cohen’s h for proportion differences). Effect sizes are used for comparing magnitudes across various outcomes on different scales. Commonly used labels to describe Cohen’s d and h effect sizes are 0.20 (small), 0.50 (medium), 0.80 (large) effects (57). Additional regression models for steroid use and protein powder/shakes were fit controlling for the potential confounder of physical activity. The association between yoga and each outcome was also assessed by ethnicity/race categories and by gender (only male and female due to small numbers of other identities), including respective interactions into the regressions. Inverse probability weighting (IPW) was used to account for missing data (58, 59). IPW minimizes potential response bias due to missing data and allows for extrapolation back to the original EAT 2010 sample. All regression analyses and percentages were weighted with the non-response weights while raw sample size values are presented. Among the analytic sample (n=1,555 with non-missing yoga practice responses) the weighted demographics (Table 1) were: 28.7% African American or Black, 19.9% Asian American, 18.9% White, 16.9% Hispanic, 3.7% Native American, and 11.9% mixed or other. Most of the Asian American participants reported Southeast Asian heritage; approximately 79.1% of this group was Hmong.
Table 1.
Unadjusted Results | Adjusted Results2 | |||||
---|---|---|---|---|---|---|
Total N (%)1 |
Number practicing yoga |
% practicing yoga |
p-value | % practicing yoga |
p-value | |
Age categories | ||||||
18-21 | 708 (42.9) | 85 | 11.4 | 9.2 | ||
22-25 | 794 (53.0) | 116 | 13.5 | 0.379 | 12.1 | 0.109 |
26+ | 53 (4.1) | 9 | 15.5 | 16.2 | ||
Gender | ||||||
Female | 901 (53.2) | 158 | 17.2 | <.001 | 16.4 | <.001 |
Male | 643 (46.2) | 48 | 7.2 | 6.5 | ||
Other identity | 11 (0.6) | 4 | 36.4 | 27.8 | ||
Ethnicity/Race3 | ||||||
White | 365 (18.9) | 56 | 14.6 | 0.043 | 11.4 | 0.237 |
Black | 340 (28.7) | 42 | 11.1 | 9.9 | ||
Hispanic | 271(16.9) | 36 | 12.4 | 12.2 | ||
Asian American | 353 (19.9) | 37 | 10.6 | 9.5 | ||
Native American | 62 (3.7) | 4 | 7.0 | 7.3 | ||
Other/Mixed | 164 (11.9) | 35 | 19.4 | 16.1 | ||
Socio-economic status | ||||||
Low | 558 (39.3) | 64 | 10.7 | 0.024 | 8.6 | 0.023 |
Middle | 586 (40.0) | 78 | 13.0 | 11.9 | ||
High | 374 (20.7) | 65 | 16.9 | 14.7 |
All percentages are weighted for non-response to be representative of the original EAT-2010 sample.
Adjusted for age, gender, ethnicity/race, and socio-economic status (SES) and Body Mass Index (BMI) (n=1483; 6.4% dropped due to missing SES or BMI).
Structurally racialized categories labelled by ethnicity/race.
RESULTS
Yoga practice by sociodemographic characteristics
Practicing yoga (at least 30 minutes/week) was reported by 12.7% (n=210) of the participants. Among these 210 yoga practitioners, the average frequency of practice: 30 minutes to less than one hour/week (n=68; 32.1%); one hour to less than two hours/week (n=84; 40.3%); two to three hours/week (n=39; 18.5%); and ≥ four hours/week (n=19; 8.9%).
Yoga practice did not differ across age in unadjusted analyses nor in analyses adjusted for sociodemographic characteristics and BMI (Table 1). Female young adults were much more likely to practice than male young adults (16.4% vs. 6.5% in adjusted models). There was variation across ethnicity/race in unadjusted analyses, although differences were not statistically significant after adjustment for sociodemographic characteristics and BMI. In both unadjusted and adjusted analyses, yoga practice differed across SES; in adjusted models, yoga practice was reported by 14.7% of young adults in the highest level and 8.6% in the lowest level.
Body satisfaction, mindful eating, BMI, disordered eating, and muscle-enhancing behaviors by yoga practice
As shown in Table 2, differences in body satisfaction across yoga practice were not statistically significant in unadjusted models (yoga practitioners: M=43.9, non-yoga practitioners: M=42.2; d=0.14; p=.070) or in models adjusted for sociodemographic characteristics and BMI (yoga practitioners: M=42.9, non-yoga practitioners: M=42.2; d= 0.06; p=.485).
Table 2.
Unadjusted results | Adjusted results1 | |||||||
---|---|---|---|---|---|---|---|---|
Yoga Practice | ES2 | p-value | Yoga practice | ES2 | p-value | |||
No (n=1345) Unadjusted Mean (SE) or % (n) |
Yes (n=210) Unadjusted Mean (SE) or % (n) |
No (n=1285) Adjusted Mean (SE) or % (n) |
Yes (n=198) Adjusted Mean (SE) or % (n) |
|||||
Body satisfaction (range: 13-65) | 42.2 (0.36) | 43.9 (0.89) | 0.14 | 0.070 | 42.2 (.32) | 42.9 (.96) | 0.06 | 0.485 |
Mindful eating (range: 4-16) |
11.6 (0.06) | 12.2 (0.13) | 0.29 | <0.001 | 11.7 (.06) | 12.1 (.14) | 0.19 | 0.004 |
BMI (kg/m2) | 27.4 (0.20) | 25.5 (0.44) | −0.27 | <0.001 | 27.4 (.20) | 25.6 (.45) | −0.26 | <.001 |
Extreme unhealthy weight control behaviors | 12.8% (177) | 12.4% (25) | −0.01 | 0.902 | 11.0% (172) | 10.4% (24) | −0.02 | 0.804 |
Less extreme unhealthy weight control behaviors | 50.5% (671) | 56.8% (118) | 0.13 | 0.100 | 51.8% (650) | 62.3% (112) | 0.21 | 0.011 |
Binge eating | 11.5% (159) | 12.6% (28) | 0.03 | 0.629 | 9.9% (151) | 10.7% (27) | 0.03 | 0.704 |
Steroid use | 1.3% (14) | 5.2% (10) | 0.23 | <.001 | 0.7% (11) | 3.8% (9) | 0.22 | <.001 |
Protein powder/shakes | 26.1% (338) | 33.1% (66) | 0.15 | 0.044 | 25.3% (331) | 35.1% (63) | 0.21 | 0.010 |
Adjusted for age, gender, ethnicity/race, socio-economic status, and BMI, except when examining associations with BMI; then estimates are only adjusted for sociodemographic characteristics.
ES (effect size) provides a comparable measure of magnitude across outcomes. It is calculated as the standardized mean difference Cohen’s d (for continuous outcomes) and a scaled difference in proportions Cohen’s h (for dichotomous outcomes).
Young adults practicing yoga had higher levels of mindful eating in unadjusted analyses d=.29, p<.001), and this difference remained statistically significant after adjustment for sociodemographic characteristics and BMI (d=.19, p=.004).
Yoga practitioners had lower BMI values than non-yoga practitioners even after adjustment for sociodemographic characteristics (25.6 and 27.4 kg/m2, respectively; d=−0.26, p<.001). Because of the strong association between BMI and body satisfaction, and the non-significant finding for the association between yoga and body satisfaction, we further tested for an interaction between BMI and yoga on body satisfaction. The interaction between BMI and yoga was significant for predicting body satisfaction (p=0.044) indicating those with a higher BMI (30.0 kg/m2) trended toward having higher body satisfaction if they practiced yoga compared to not practicing yoga (41.9 vs. 40.1, d=0.14, p=0.076), while those with a lower BMI (BMI=18.5 kg/m2) showed no difference across yoga practice (e.g. d=−0.09, p=0.456).
Regardless of yoga practice, high percentages of young adults engaged in extreme weight control behaviors, less extreme weight control behaviors, and binge eating (Table 2). In unadjusted analysis, the use of these disordered eating behaviors was similar across young adults practicing and not practicing yoga. However, after adjustment, yoga practitioners were more likely to engage in less extreme unhealthy weight control behaviors than those not practicing yoga (adjusted proportions: 62.3% vs. 51.8%, h=0.21, p=.011).
The use of muscle-enhancing behaviors was higher among yoga practitioners than non-yoga practitioners (Table 2) in both unadjusted models and in models adjusted for sociodemographic characteristics and BMI, although effect sizes were small. In adjusted models, 3.8% of yoga practitioners used steroids as compared to 0.7% of non-yoga practitioners (h=0.22, p<.001) while 35.1% of yoga practitioners used protein powder or shakes as compared to 25.3% of non-yoga practitioners (h=0.21, p=.010). Further analyses indicated that yoga practitioners were still more likely to use muscle enhancers even after further adjustment for physical activity levels (steroids: h=0.24, p<0.001, protein powder: h=0.17, p=.046).
Dose-response relationships with frequency of yoga practice
Restricting to those practicing yoga, associations were further examined to assess if there was a dose-response relationship between frequency of practicing yoga and the various outcomes. No statistically significant dose-response relationships were found in adjusted analyses, except for steroid use (p=.049) indicating a higher prevalence of steroid use among those practicing yoga more often. Of note, BMI decreased across varying levels of yoga frequency from 26.4 units (yoga frequency: 30 minutes to <1 hour/week) down to 24.5 units (yoga frequency: 4+ hours/week), but this trend was not statistically significant (p=0.206).
Interactions with ethnicity/race and gender
Associations between yoga practice and the different outcomes were similar across ethnicity/race with no statistically significant interactions found (Table 3). Small numbers (i.e., cell sizes < 5) precluded testing interactions with ethnicity/race for less prevalent outcomes: binge eating, extreme unhealthy weight control, and steroid use. Associations also did not differ by gender (Table 4). For example, the higher prevalence of steroid use was seen in both female and male yoga practitioners as compared to non-practitioners.
Table 3.
Unadjusted results | Adjusted results1 | |||||
---|---|---|---|---|---|---|
Yoga Practice | ||||||
No (n=1345) Mean (SE) or % (N) |
Yes (n=210) Mean (SE) or % (N) |
ES | p-value | ES | p-value | |
Body satisfaction | ||||||
White | 42.9 (0.68) | 45.1 (1.74) | 0.17 | 0.257 | 0.20 | 0.144 |
Black | 45.8 (0.75) | 47.2 (2.13) | 0.12 | 0.520 | −0.12 | 0.560 |
Hispanic | 40.1 (0.79) | 40.8 (1.88) | 0.06 | 0.718 | 0.05 | 0.772 |
Asian | 37.2 (0.65) | 41.7 (2.01) | 0.37 | 0.031 | 0.28 | 0.089 |
Native American | 42.0 (1.80) | 39.3 (8.62) | −0.22 | 0.752 | −0.52 | 0.423 |
Other | 43.8 (1.11) | 43.4 (1.82) | −0.03 | 0.863 | 0.00 | 0.999 |
Interaction p-value |
0.65 | 0.51 | ||||
Mindful eating | ||||||
White | 11.3 (0.12) | 12.1 (.28) | 0.38 | 0.008 | 0.33 | 0.026 |
Black | 11.5 (0.13) | 12.1 (.29) | 0.31 | 0.042 | 0.25 | 0.108 |
Hispanic | 12.0 (0.14) | 11.9 (.27) | −0.03 | 0.827 | −0.10 | 0.498 |
Asian | 11.7(0.12) | 11.8 (.32) | 0.07 | 0.687 | 0.02 | 0.889 |
Native American | 11.8 (0.25) | 12.5 (.25) | 0.36 | 0.039 | 0.23 | 0.218 |
Other | 12.0 (0.21) | 12.9 (.32) | 0.47 | 0.010 | 0.51 | 0.007 |
Interaction p-value |
0.17 | 0.12 | ||||
BMI | ||||||
White | 25.8 (0.36) | 25.4 (1.16) | −0.07 | 0.699 | −0.07 | 0.661 |
Black | 27.4 (0.43) | 24.3 (0.71) | −0.44 | 0.000 | −0.41 | 0.001 |
Hispanic | 28.6 (0.47) | 26.7 (0.84) | −0.27 | 0.047 | −0.24 | 0.096 |
Asian | 27.6 (0.37) | 24.8 (0.97) | −0.41 | 0.007 | −0.40 | 0.009 |
Native American | 27.4 (0.92) | 24.5 (1.45) | −0.41 | 0.093 | −0.50 | 0.066 |
Other | 27.8 (0.71) | 27.1 (1.23) | −0.10 | 0.640 | −0.11 | 0.605 |
Interaction p-value |
0.42 | 0.46 | ||||
Less extreme unhealthy weight control behaviors | ||||||
White | 39.4% (121) | 53.4% (30) | 0.28 | 0.056 | 0.33 | 0.045 |
Black | 51.2% (149) | 44.4% (18) | −0.14 | 0.427 | −0.04 | 0.801 |
Hispanic | 47.9% (111) | 61.1% (22) | 0.26 | 0.151 | 0.39 | 0.048 |
Asian | 63.8% (197) | 70.9% (25) | 0.15 | 0.398 | 0.19 | 0.291 |
Native American | 56.9% (34) | 70.4% (3) | 0.28 | 0.620 | 0.37 | 0.501 |
Other | 43.9% (59) | 59.6% (20) | 0.31 | 0.111 | 0.27 | 0.218 |
Interaction p-value |
0.47 | 0.60 | ||||
Protein powder | ||||||
White | 28.2% (85) | 32.7% (18) | 0.10 | 0.502 | 0.24 | 0.101 |
Black | 25.4% (71) | 33.8% (13) | 0.19 | 0.273 | 0.17 | 0.351 |
Hispanic | 31.8% (73) | 26.6% (9) | −0.11 | 0.544 | 0.02 | 0.934 |
Asian | 22.7% (67) | 27.9% (10) | 0.12 | 0.503 | 0.16 | 0.427 |
Native American | 19.4% (11) | 29.6% (1) | 0.24 | 0.647 | −0.01 | 0.979 |
Other | 24.3% (31) | 43.4% (15) | 0.41 | 0.031 | 0.54 | 0.013 |
Interaction p-value | 0.55 | 0.61 |
Adjusted for age, gender, ethnicity/race, socio-economic status, and BMI, except when examining associations with BMI; then estimates are only adjusted for sociodemographic characteristics.
Table 4.
Unadjusted results | Adjusted results1 | |||||
---|---|---|---|---|---|---|
Yoga Practice | ||||||
No (n=1338) Mean (SE) or % (N) |
Yes (n=206) Mean (SE) or % (N) |
ES | p-value | ES | p-value | |
Body satisfaction | ||||||
Male2 | 44.3 (0.51) | 43.7 (2.03) | −0.04 | 0.803 | −0.16 | 0.414 |
Female | 40.1 (0.49) | 43.9 (0.98) | 0.31 | <.001 | 0.14 | 0.085 |
Interaction p-value |
0.064 | 0.156 | ||||
Mindful eating | ||||||
Male | 11.5 (0.10) | 12.0 (0.27) | 0.24 | 0.084 | 0.22 | 0.133 |
Female | 11.8 (0.08) | 12.3 (0.16) | 0.24 | 0.004 | 0.20 | 0.016 |
Interaction p-value |
0.989 | 0.905 | ||||
BMI | ||||||
Male | 27.0 (0.26) | 24.8 (0.64) | −0.32 | 0.001 | −0.24 | 0.009 |
Female | 27.7 (0.30) | 25.8 (0.56) | −0.27 | 0.003 | −0.28 | 0.007 |
Interaction p-value |
0.747 | 0.779 | ||||
Less extreme unhealthy weight control behaviors |
||||||
Male | 45.4% (263) | 55.9% (27) | 0.21 | 0.178 | 0.23 | 0.159 |
Female | 55.2% (403) | 57.4% (89) | 0.04 | 0.620 | 0.20 | 0.034 |
Interaction p-value | 0.362 | 0.891 | ||||
Extreme unhealthy weight control behaviors |
||||||
Male | 6.5% (37) | 10.4% (5) | 0.14 | 0.331 | 0.14 | 0.401 |
Female | 19.0% (140) | 12.9% (19) | −0.17 | 0.088 | −0.09 | 0.386 |
Interaction p-value | 0.101 | 0.264 | ||||
Binge Eating | ||||||
Male | 5.90% (36) | 9.68% (5) | 0.14 | 0.293 | .12 | 0.403 |
Female | 16.92% (122) | 12.97% (21) | −0.11 | 0.231 | −.02 | 0.825 |
Interaction p-value | 0.138 | 0.397 | ||||
Protein powder | ||||||
Male | 35.3% (210) | 48.1% (23) | 0.26 | 0.090 | 0.16 | 0.312 |
Female | 17.1% (127) | 28.3% (43) | 0.27 | 0.002 | 0.24 | 0.008 |
Interaction p-value |
0.750 | 0.529 | ||||
Steroids | ||||||
Male | 1.7% (9) | 8.1% (4) | 0.31 | 0.010 | 0.27 | 0.015 |
Female | 0.9% (5) | 4.2% (6) | 0.23 | 0.008 | 0.21 | 0.005 |
Interaction p-value | 0.975 | 0.947 |
Adjusted for age, gender, ethnicity/race, socio-economic status, and BMI, except when examining associations with BMI; then estimates are only adjusted for sociodemographic characteristics.
The gender identity, “other”, was not included in the analysis
DISCUSSION
This study examined associations between yoga practice and variables of relevance to the promotion of a healthy body image and the prevention of disordered eating/eating disorders and unhealthy muscle-enhancing behaviors among ethnically/racially diverse, primarily low-income, emerging young adults. Findings suggest that emerging young adults from diverse backgrounds who practice yoga have higher levels of mindful eating, but have equal or elevated levels of problematic body image-related attitudes and behaviors, as compared to non-yoga practitioners. In considering the findings, the small effect sizes should be noted, and any differences should be viewed cautiously. Further analyses examining interactions found that these patterns did not differ significantly across ethnicity/race or gender. Given that prior research has found that yoga may offer many health benefits broadly (25-29) and in terms of body image, disordered eating, and weight-related health (37, 60, 61), it is encouraging to see that yoga is being practiced by those in need of potentially helpful strategies. However, it is also crucial to ensure that the yoga being practiced is beneficial with regard to the promotion of a positive body image and the avoidance of potentially harmful disordered eating and muscle-enhancing behaviors.
To the best of our knowledge, this is the first population-based study that has examined associations between yoga and muscle enhancers. Approximately one-third of young adults practicing yoga used protein powders or shakes, specifically to enhance the size or tone of their muscles. While there is a lack of clarity about what they were consuming, findings suggest a preoccupation with muscle enhancement. The higher use of steroids to enhance muscles among yoga practitioners is of particular concern, given their adverse consequences (62). That said, it should be noted that the percentage of yoga practitioners using steroids was low, as were effect sizes for differences between those practicing and not practicing yoga. In many settings, the practice of yoga has shifted somewhat from the traditional yogic principles and philosophies of Eastern yoga to being more commercialized (63) and focused on fitness and physical strength building, which may feed into young adults thinking of yoga as a way to enhance muscle development. Further research examining what types of muscle enhancers are being used and motivation for their use is needed for greater understanding. It would also be of interest to examine whether higher use of muscle enhancers among yoga practitioners is only found among those engaging in more physically strenuous practices. Further research in different populations is needed to confirm these findings.
Body satisfaction was found to be similar among emerging adults practicing yoga and those not practicing yoga in analyses adjusted for BMI and sociodemographic characteristics. There was a significant interaction between BMI and yoga in predicting body satisfaction with a trend toward a positive impact among yoga practitioners at higher BMI values. Of concern, equal or higher percentages of young adults practicing yoga were found to engage in disordered eating behaviors as compared to those not practicing yoga. It is promising to see that young adults who have body image concerns and engage in disordered eating behaviors are choosing to practice yoga, given the underlying tenets of yoga, in addition to research findings suggesting that yoga may be helpful in terms of promoting a stronger sense of self and positive embodiment (22, 39, 64). Furthermore, some longitudinal and intervention studies have suggested that yoga may be effective in improving body image and disordered eating behaviors (37, 38, 60, 61, 65, 66). Although findings do not consistently show the benefits of yoga (30, 31), we are not aware of research findings showing that yoga can be harmful in terms of worsening these outcomes.
In the current study, yoga was associated with higher levels of mindful eating. In prior qualitative research, young adults practicing yoga discussed how yoga helped with increased awareness of their bodies’ needs, the selection of more nourishing foods, attentiveness to internal signs of hunger or fullness, and greater presence while eating (46). A randomized, controlled trial examining the impact of yoga among adults engaging in binge eating (65) found that yoga was associated with decreased binge eating. Likewise, qualitative interviews with study participants indicated perceived improvements in eating behaviors, including greater presence and mindfulness while eating (67). Further work is needed to determine if yoga can lead to more mindful eating and, in turn can help reduce binge eating behaviors in the general population.
Analyses were adjusted for BMI, in addition to sociodemographic characteristics, given that BMI values were lower among yoga practitioners than non-practitioners. The cross-sectional nature of the study design does not allow for a determination of the directionality of this association. There is some evidence that yoga can help in reducing BMI (68), with two population-based studies suggesting that yoga can help with weight gain prevention (45, 69). However, it is also highly likely that the mean difference in BMI between the yoga practitioners and the non-practitioners is due to young adults with lower BMI values being more likely to choose to engage in yoga. Persons living in larger bodies may not feel comfortable at some settings in which yoga is taught. For example, in one of these population-based studies, among young adults practicing yoga, those with higher BMI values were less likely to practice at yoga studios than yoga practitioners with lower BMI values (45). Yoga settings need to be proactive in helping persons from diverse backgrounds, and of diverse body shapes, sizes, and abilities, to feel more welcome and comfortable (39, 70-73).
Study strengths and limitations should be considered in interpreting these findings. An important study strength is the large size and diverse nature of the sample. There has been a dearth of research on yoga among low-income and ethnically/racially diverse populations; thus, this study fills an important gap in the literature. The assessment of a broad array of attitudes and behaviors related to body image is also a study strength. We are unaware of any studies that have examined yoga in relation to muscle enhancing behaviors in any population-based studies. Young people from socially marginalized ethnic/racial and low socio-economic backgrounds have been found to be at high risk for problematic eating and weight-related outcomes (2, 12-16), but may be underserved with regard to prevention and treatment interventions (74, 75). It is crucial to learn more about how to help in promoting a healthy body image and prevent and reduce unhealthy muscle-enhancing and disordered eating behaviors among diverse and potentially underserved populations.
While the diverse nature of the study population is a strength, it is important to note that in order to properly examine patterns of relatively rare behaviors (e.g., steroid use) by yoga practice, within separate ethnic/racial groups, larger numbers will be needed. Likewise, while utilizing a community-based sample allows for a determination of who is practicing yoga, the mean frequency of practicing yoga among such a broad sample tends to be low, with relatively few respondents reporting practicing an average of more than two hours a week. While we conducted a dose-response analysis, and did not see trends suggesting that those practicing more often were better off, the numbers of young adults practicing frequently was low, leading us to interpret the findings cautiously. Additionally, the cross-sectional nature of the study needs to be considered in interpreting findings; inferences about directionality of associations or causation cannot be inferred. This study allowed for the examination of who is practicing yoga in terms of body image attitudes and behaviors, rather than the impact of yoga on these variables. Further longitudinal work is needed to detect changes over time following a consistent period of yoga practice. Finally, many aspects of yoga practice were not assessed in the current study. Thus, it will be important to replicate these findings in other study populations and to examine differences in associations by characteristics of the yoga practice (e.g., intensity, type), focus of the teaching (e.g., increased emphasis on physicality, emotion regulation, awareness and acceptance of self, or spirituality), and locations of practice (e.g., home vs. studio).
CONCLUSION
In summary, among emerging adults from diverse ethnic/racial backgrounds, disordered eating and muscle-enhancing behaviors were equally or more common among yoga practitioners than non-practitioners. In order to promote yoga among diverse populations, and enhance its safety and benefits, it is crucial for settings where yoga is offered, and yoga teachers, to have awareness of the high prevalence of these concerning behaviors among students and to address them accordingly. Certainly, these settings should not be promoting products aimed at muscle enhancement such as protein powders and shakes. For those practicing yoga on their own, it may also be helpful to learn how to focus more on the internal sensations that occur during one’s yoga practice to enhance the potential for yoga’s positive impact on overall well-being. Increased awareness to self-critique and replacing potentially harmful self-dialogues with increased positive self-talk and greater self-compassion may also enhance the positive impact of one’s yoga practice. Further research exploring yoga practice among diverse populations is needed, including studies that include more details on muscle-enhancing products being used and reasons for using these products; longitudinal studies to examine changes in body image attitudes and behaviors following a consistent yoga practice; qualitative research to better understand yoga practitioners’ perceptions of how the practice of yoga could be enhanced to improve body image and related behaviors; and intervention studies to examine the impact of different teaching and practice styles.
Funding
This study was supported by the National Heart, Lung, and Blood Institute through grant numbers R01HL127077 and R35HL139853 (PI: D. Neumark-Sztainer). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Heart, Lung, and Blood Institute and the National Institutes of Health.
Footnotes
Competing interests
The authors declare that they have no competing interests.
Ethics approval and consent to participate
The University of Minnesota’s Institutional Review Board Human Subjects Committee approved all protocols used. Committee reference number: 1101S94792.
Availability of data and materials
Investigators interested in utilizing the dataset used in the current study should contact the corresponding author.
Contributor Information
Dianne Neumark-Sztainer, Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South 2nd Street, Suite 300, Minneapolis, MN 55455.
Melanie M. Wall, Department of Biostatistics, Mailman School of Public Health, Columbia University, New York City, NY
Alina Levine, Mental Health Data Science, Research Foundation for Mental Hygiene, New York City, NY.
Daheia J. Barr-Anderson, School of Kinesiology, University of Minnesota, Minneapolis, MN
Marla E. Eisenberg, Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN
Nicole Larson, Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
References
- 1.Neumark-Sztainer D, Wall MM, Chen C, Larson NI, Christoph MJ, Sherwood NE. Eating, activity, and weight-related problems from adolescence to adulthood. Am J Prev Med. 2018;55(2):133–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Neumark-Sztainer D, Wall MM, Larson N, Story M, Fulkerson JA, Eisenberg ME, et al. Secular trends in weight status and weight-related attitudes and behaviors in adolescents from 1999 to 2010. Prev Med. 2012;54(1):77–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Chin SN, Laverty AA, Filippidis FT. Trends and correlates of unhealthy dieting behaviours among adolescents in the United States, 1999–2013. BMC Public Health. 2018;18(1):439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Nagata JM, Garber AK, Tabler JL, Murray SB, Bibbins-Domingo K. Prevalence and correlates of disordered eating behaviors among young adults with overweight or obesity. J Gen Intern Med. 2018;33(8):1337–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Warren JM, Smith N, Ashwell M. A structured literature review on the role of mindfulness, mindful eating and intuitive eating in changing eating behaviours: Effectiveness and associated potential mechanisms. Nutr Res Rev. 2017;30(2):272–83. [DOI] [PubMed] [Google Scholar]
- 6.Nagata JM, Garber AK, Tabler J, Murray SB, Vittinghoff E, Bibbins-Domingo K. Disordered eating behaviors and cardiometabolic risk among young adults with overweight or obesity. Int J Eat Disord. 2018;51(8):931–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hart LM, Gordon AR, Sarda V, Calzo JP, Sonneville KR, Samnaliev M, et al. The association of disordered eating with health-related quality of life in U.S. young adults and effect modification by gender. Qual Life Res. 2020:1–13. [DOI] [PubMed] [Google Scholar]
- 8.Nagata JM, Murray SB, Bibbins-Domingo K, Garber AK, Mitchison D, Griffiths S. Predictors of muscularity-oriented disordered eating behaviors in U.S. young adults: A prospective cohort study. Int J Eat Disord. 2019;52(12):1380–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Goldman A, Basaria S. Adverse health effects of androgen use. Mol Cell Endocrinol. 2018;464:46–55. [DOI] [PubMed] [Google Scholar]
- 10.Patton GC, Selzer R, Coffey C, Carlin JB, Wolfe R. Onset of adolescent eating disorders: Population based cohort study over 3 years. BMJ. 1999;318(7186):765–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Neumark-Sztainer D, Wall M, Story M, Standish AR. Dieting and unhealthy weight control behaviors during adolescence: Associations with 10-year changes in body mass index. J Adolesc Health. 2012;50(1):80–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Eisenberg ME, Wall M, Neumark-Sztainer D. Muscle-enhancing behaviors among girls and boys. Pediatrics. 2012;130(6):1019–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Tester JM, Lang TC, Laraia BA. Disordered eating behaviours and food insecurity: A qualitative study about children with obesity in low-income households. Obesity Res Clin Prac. 2016;10(5):544–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.West CE, Goldschmidt AB, Mason SM, Neumark-Sztainer D. Differences in risk factors for binge eating by socioeconomic status in a community-based sample of adolescents: Findings from Project EAT. Int J Eat Disord. 2019;52(6):659–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Buckingham-Howes S, Armstrong B, Pejsa-Reitz MC, Wang Y, Witherspoon DO, Hager ER, et al. BMI and disordered eating in urban, African American, adolescent girls: The mediating role of body dissatisfaction. Eat Behav. 2018;29:59–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Najjar RH, Jacob E, Evangelista L. Eating behaviors, weight bias, and psychological functioning in multi-ethnic low-income adolescents. J Pediatr Nurs. 2018;38:81–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kraftsow G Yoga for transformation: Ancient teachings and Holistic practices for healing body, mind, and heart. New York: Penguin Compass; 2002. xxvii–257 . [Google Scholar]
- 18.Cook-Cottone CP. Mindfulness and yoga for self-regulation: A primer for mental health professionals. New York: Springer Publishing Company; 2015. xxiii–322. [Google Scholar]
- 19.Neumark-Sztainer D, Watts AW, Rydell S. Yoga and body image: How do young adults practicing yoga describe its impact on their body image? Body Image. 2018;27:156–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Dittmann KA, Freedman MR. Body awareness, eating attitudes, and spiritual beliefs of women practicing yoga. Eat Disord. 2009;17(4):273–92. [DOI] [PubMed] [Google Scholar]
- 21.Neumark-Sztainer D. Yoga and eating disorders: Is there a place for yoga in the prevention and treatment of eating disorders and disordered eating behaviours? Adv Eating Disord. 2014;2(2):136–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Piran N, Neumark-Sztainer D. Yoga and the experience of embodiment: A discussion of possible links. Eat Disord. 2020;28(4):330–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Cox AE, Tylka TL. A conceptual model describing mechanisms for how yoga practice may support positive embodiment. Eat Disord. 2020; 28(4):376–99. [DOI] [PubMed] [Google Scholar]
- 24.Impett EA, Daubenmier JJ, Hirschman AL. Minding the body: Yoga, embodiment, and well-being. Sex Res Social Policy. 2006;3(4):39–48. [Google Scholar]
- 25.Bussing A, Michalsen A, Khalsa SB, Telles S, Sherman KJ. Effects of yoga on mental and physical health: A short summary of reviews. eCAM. 2012:165410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Macy RJ, Jones E, Graham LM, Roach L. Yoga for trauma and related mental health problems: A meta-review with clinical and service recommendations. Trauma Violence Abuse. 2018;19(1):35–57. [DOI] [PubMed] [Google Scholar]
- 27.Maroik S, Hazari CS, Mondal BC. Effect of yoga on health. Int J Yoga Physiotherapy Phys Educ. 2017;2(2):75–7. [Google Scholar]
- 28.McCall MC, Ward A, Roberts NW, Heneghan C. Overview of systematic reviews: Yoga as a therapeutic intervention for adults with acute and chronic health conditions. eCAM. 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Jeter PE, Slutsky J, Singh N, Khalsa SBS. Yoga as a therapeutic intervention: A bibliometric analysis of published research studies from 1967 to 2013. J Altern Complement Med. 2015;21(10):586–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Domingues RB, Carmo C. Disordered eating behaviours and correlates in yoga practitioners: A systematic review. Eat Weight Disord. 2019:1–10. [DOI] [PubMed] [Google Scholar]
- 31.Ostermann T, Vogel H, Boehm K, Cramer H. Effects of yoga on eating disorders–A systematic review. Complement Ther Med. 2019. [DOI] [PubMed] [Google Scholar]
- 32.Scime M, Cook-Cottone C, Kane L, Watson T. Group prevention of eating disorders with fifth-grade females: Impact on body dissatisfaction, drive for thinness, and media influence. Eat Disord. 2006;14(2):143–55. [DOI] [PubMed] [Google Scholar]
- 33.Klein J, Cook-Cottone C. The effects of yoga on eating disorder symptoms and correlates: A review. Int J Yoga Therapy. 2013(23):41–50. [PubMed] [Google Scholar]
- 34.Diers L, Rydell S, Watts A, Neumark-Stzainer D. A yoga-based therapy program designed to improve body image among an outpatient eating disordered population: Program description and results from a pilot study. Eat Disord. 2020;28(4):476–493. [DOI] [PubMed] [Google Scholar]
- 35.Kramer R, Cuccolo K. Yoga practice in a college sample: Associated changes in eating disorder, body image, and related factors over time. Eat Disord. 2019:1–19. [DOI] [PubMed] [Google Scholar]
- 36.Pacanowski CR, Diers L, Crosby RD, Mackenzie M, Neumark-Stzainer D. Yoga’s impact on risk and protective factors for disordered eating: a pilot prevention trial. Eat Disord. 2020;28(4):513–541. [DOI] [PubMed] [Google Scholar]
- 37.Halliwell E, Dawson K, Burkey S. A randomized experimental evaluation of a yoga-based body image intervention. Body Image. 2019;28:119–27. [DOI] [PubMed] [Google Scholar]
- 38.Neumark-Sztainer D, MacLehose RF, Watts AW, Pacanowski CR, Eisenberg ME. Yoga and body image: Findings from a large population-based study of young adults. Body Image. 2018;24:69–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Webb JB, Rogers CB, Thomas EV. Realizing yoga’s all-access pass: A social justice critique of westernized yoga and inclusive embodiment. Eat Disord. 2020:28(4):349–375. [DOI] [PubMed] [Google Scholar]
- 40.Larson NI, Wall MM, Story MT, Neumark-Sztainer DR. Home/family, peer, school, and neighborhood correlates of obesity in adolescents. Obesity (Silver Spring). 2013;21(9):1858–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Arcan C, Larson N, Bauer K, Berge J, Story M, Neumark-Sztainer D. Dietary and weight-related behaviors and body mass index among Hispanic, Hmong, Somali, and white adolescents. J Acad Nutr Diet. 2014;114(3):375–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Bucchianeri MM, Eisenberg ME, Neumark-Sztainer D. Weightism, racism, classism, and sexism: Shared forms of harassment in adolescents. J Adolesc Health. 2013;53(1):47–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Neumark-Sztainer D, Wall M, Fulkerson JA, Larson N. Changes in the frequency of family meals from 1999 to 2010 in the homes of adolescents: Trends by sociodemographic characteristics. J Adolesc Health. 2013;52(2):201–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Neumark-Stzainer D, Wall M, Choi J, Barr-Anderson D, Telke S, Mason SM. Exposure to adverse events and associations with stress levels and the practice of yoga: Survey findings from a population-based study of diverse emerging young adults. J Altern Complement Med. 2020;26(6):482–490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Neumark-Sztainer D, MacLehose RF, Watts AW, Eisenberg ME, Laska MN, Larson N. How is the practice of yoga related to weight status? Population-based findings from Project EAT-IV. J Phys Act Health. 2017;14(12):905–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Watts AW, Rydell SA, Eisenberg ME, Laska MN, Neumark-Sztainer D. Yoga’s potential for promoting healthy eating and physical activity behaviors among young adults: A mixed-methods study. Int J Behav Nutr Phys Act. 2018;15(1):42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Pingitore R, Spring B, Garfield D. Gender differences in body satisfaction. Obes Res. 1997;5(5):402–9. [DOI] [PubMed] [Google Scholar]
- 48.Framson C, Kristal AR, Schenk JM, Littman AJ, Zeliadt S, Benitez D. Development and validation of the mindful eating questionnare. J Am Diet Assoc. 2009;109:1439–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Quick V, Wall M, Larson N, Haines J, Neumark-Sztainer D. Personal, behavioral and socio-environmental predictors of overweight incidence in young adults: 10-yr longitudinal findings. Int J Behav Nutr Phys Act. 2013;10:37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Yanovski SZ. Questionnaire on eating and weight patterns--Revised (QEWP-R). Obes Res. 1993;1:319–24. [Google Scholar]
- 51.Field AE, Austin SB, Camargo CA, Taylor CB, Striegel-Moore RH, Loud KJ, et al. Exposure to the mass media, body shape concerns, and use of supplements to improve weight and shape among male and female adolescents. Pediatrics. 2005;116(2):e214–e20. [DOI] [PubMed] [Google Scholar]
- 52.Ricciardelli LA, McCabe MP. Psychometric evaluation of the Body Change Inventory: An assessment instrument for adolescent boys and girls. Eat Behav. 2002;3(1):45–59. [DOI] [PubMed] [Google Scholar]
- 53.Eisenberg ME, Wall M, Shim JJ, Bruening M, Loth K, Neumark-Sztainer D. Associations between friends' disordered eating and muscle-enhancing behaviors. Soc Sci Med. 2012;75(12):2242–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Godin G, Shephard R. A simple method to assess exercise behavior in the community. Can J Appl Sport Sci. 1985;10(3):141–6. [PubMed] [Google Scholar]
- 55.Sherwood NE, Wall M, Neumark-Sztainer D, Story M. Effect of socioeconomic status on weight change patterns in adolescents. Prev Chronic Dis. 2009;6(1):A19. [PMC free article] [PubMed] [Google Scholar]
- 56.Neumark-Sztainer D, Story M, Hannan PJ, Croll J. Overweight status and eating patterns among adolescents: Where do youths stand in comparison with the Healthy People 2010 objectives? Am J Public Health. 2002;92(5):844–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Cohen J Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillside, NJ: Lawrence Erlbaum; 1988. [Google Scholar]
- 58.Little RJA. Survey nonresponse adjustments for estimates of means. Int Stat Rev. 1986;54(2):139–57. [Google Scholar]
- 59.Seaman S, White I. Review of inverse probability weighting for dealing with missing data. Stat Methods Med Res. 2011;22(3):278–95. [DOI] [PubMed] [Google Scholar]
- 60.Ariel-Donges AH, Gordon EL, Bauman V, Perri MG. Does yoga help college-aged women with body-image dissatisfaction feel better about their bodies? Sex Roles. 2019;80(1-2):41–51. [Google Scholar]
- 61.Cox AE, Ullrich-French S, Howe HS, Cole AN. A pilot yoga physical education curriculum to promote positive body image. Body Image. 2017;23:1–8. [DOI] [PubMed] [Google Scholar]
- 62.Department of Health and Human Services. Anabolic steroid abuse. NIDA Research Report Series. Washington, DC: National Institutes of Health; 2000April. Report No.: NIH Publication No. 00-3721. [Google Scholar]
- 63.Bowers H, Cheer JM. Yoga tourism: Commodification and western embracement of eastern spiritual practice. Tourism Management Perspect. 2017;24:208–16. [Google Scholar]
- 64.Mahlo L, Tiggemann M. Yoga and positive body image: A test of the Embodiment Model. Body Image. 2016;18:135–42. [DOI] [PubMed] [Google Scholar]
- 65.McIver S, O'Halloran P, McGartland M. Yoga as a treatment for binge eating disorder: A preliminary study. Complement Ther Med. 2009;17(4):196–202. [DOI] [PubMed] [Google Scholar]
- 66.Brennan MA, Whelton WJ, Sharpe D. Benefits of yoga in the treatment of eating disorders: Results of a randomized controlled trial. Eat Disord. 2020;28(4):438–457. [DOI] [PubMed] [Google Scholar]
- 67.McIver S, McGartland M, O'Halloran P. "Overeating is not about the food": Women describe their experience of a yoga treatment program for binge eating. Qual Health Res. 2009;19(9):1234–45. [DOI] [PubMed] [Google Scholar]
- 68.Lauche R, Langhorst J, Lee MS, Dobos G, Cramer H. A systematic review and meta-analysis on the effects of yoga on weight-related outcomes. Prev Med. 2016;87:213–32. [DOI] [PubMed] [Google Scholar]
- 69.Kristal AR, Littman AJ, Benitez D, White E. Yoga practice is associated with attenuated weight gain in healthy, middle-aged men and women. Altern Ther Health Med. 2005;11(4):28–33. [PubMed] [Google Scholar]
- 70.Pickett AC, Cunningham GB. Creating inclusive physical activity spaces: The case of body-positive yoga. Res Q Exerc Sport. 2017;88(3):329–38. [DOI] [PubMed] [Google Scholar]
- 71.Cook-Cottone C, Douglass LL. Yoga communities and eating disorders: Creating safe space for positive embodiment. Int J Yoga Therapy. 2017;27(1):87–93. [DOI] [PubMed] [Google Scholar]
- 72.Neumark-Sztainer D The practice of yoga: Can it help in addressing body image concerns and eating disorders. Handbook of Positive Body Image and Embodiment. 2019:326–36. [Google Scholar]
- 73.Bondy D Confessions of a fat, black, yoga teacher. Decolonizing Yoga. 2014. [Google Scholar]
- 74.Waldron EM, Hong S, Moskowitz JT, Burnett-Zeigler I. A systematic review of the demographic characteristics of participants in U.S.-based randomized controlled trials of mindfulness-based interventions. Mindfulness. 2018;9(6):1671–92. [Google Scholar]
- 75.Polo AJ, Makol BA, Castro AS, Colón-Quintana N, Wagstaff AE, Guo S. Diversity in randomized clinical trials of depression: A 36-year review. Clin Psychol Rev. 2019;67:22–35. [DOI] [PubMed] [Google Scholar]