Abstract
Objective
Disordered eating has decreased for all youth over time, but studies have not focused specifically on lesbian, gay, and bisexual(LGB) youth. Research has found that LGB youth report disordered eating behaviors more often compared to their heterosexual counterparts, but no studies have documented trends over time for LGB youth and considered whether these disparities are narrowing or widening across sexual orientation groups.
Method
We use pooled data from the 1999–2013 Massachusetts Youth Risk Behavior Surveys (N = 26,002) to investigate trends in purging, fasting, and using diet pills to lose or control weight for heterosexual and sexual minority youth. We used cross tabs, logistic regression, and interactions in regression models, stratified by sex.
Results
The prevalence of disordered eating has decreased on all three measures across nearly all groups of heterosexual and sexual minority youth. However, we found disparities in reported disordered eating behaviors for LGB youth persisted across all survey years, with LGB students reporting significantly higher prevalence of disordered eating than heterosexuals. The disparities in fasting to control weight widened between the first and last survey waves between lesbian and heterosexual females.
Discussion
The significant reductions over time in prevalence of disordered eating among some youth are encouraging, but the disparities remain. Indeed, the increasing prevalence of fasting, diet pill use, and purging to control weight among lesbians may warrant targeted prevention and intervention programs.
Keywords: LGB, weight control, diet pills, sexual minority, purging, fasting, MYRBS
Sexual minority (i.e., lesbian, gay, bisexual) youth report disproportionately higher prevalence of disordered eating compared to heterosexual peers: up to 1 in 4 sexual minority youth report purging, fasting, and/or taking diet pills to lose weight,1 and these patterns of disordered eating have been linked to physiological and psychological problems for all youth. 2–4 Contemporary research has documented disparities in reports of body mass index (BMI) for sexual minority young people compared to heterosexuals,5,6 and disordered eating is related to higher BMIs in males and females over time.7 At the same time, studies have found that fewer adolescents have engaged in unhealthy weight control behaviors overall, though at different magnitudes across gender and ethnicities.8,9 These previous findings were based on studies of largely heterosexual samples that did not adjust for or examine sexual orientation. Given that various studies find that the prevalence of disordered eating is higher for sexual minorities compared to heterosexual youth,10–13 monitoring the trends for LGB youth health is warranted in light of sweeping social changes. Despite advances in social attitudes, some studies show that discrimination and violence against sexual minorities have persisted.1
Studies that report the prevalence and outcomes of disordered eating behavior have largely utilized cross-sectional data; most have used large databases that are statewide or nationally representative,14–16 and others have used smaller non-probability samples.17,18 Though most of these studies have found disparities in disordered eating for sexual minority youth,1 the reported patterns in each study are gender specific.19 For example, in one study, there was evidence that gay and bisexual men report more eating disordered behaviors than their heterosexual counterparts, but no differences were found in respect to lesbian and bisexual women.17 Evidence from the Growing Up Today Study (GUTS) suggests that gay, lesbian, bisexual, and ‘mostly heterosexual’ youth were more likely binge eat than their heterosexual peers.8 Specifically, data compiled from the 1998–2005 GUTS survey (n=13,795) revealed that gay, bisexual, and mostly heterosexual male youth reported higher frequencies of vomiting or using laxatives to control their weight throughout adolescence than heterosexual males. Using the GUTS data from 1999 (n=10,583), Austin and colleagues found that ‘mostly heterosexual’ females were more likely to use laxatives and binge compared to their completely heterosexual counterparts.20 In addition, gay/bisexual males were more likely to binge compared to their heterosexual counterparts.
In addition to the GUTS data, scholars have used representative data from Massachusetts and found that both female and male adolescents with partners of both sexes reported more than double the frequency of disordered eating compared to their counterparts with opposite sex partners.21 Also using Massachusetts data from later years, scholars found that unhealthy weight control behaviors were more prevalent among gay/bisexual males (Adjusted Odds Ratio (AOR) 4.38) and lesbian/bisexual females (AOR 2.27) when compared to heterosexual males and females.22
These disparities in disordered eating have been found to continue past adolescence among sexual minorities. In one study, researchers used data from 2008–2009 wave of the American College Health Association’s National College Health Assessment and found that gay/lesbian-identified college students were more likely than heterosexual students to be clinically diagnosed with an eating disorder and to report dieting, using pills, or vomiting to lose or control weight.11 In another study that investigated the weight control practices among young adult Australian women, scholars found that ‘mainly heterosexual’ and bisexual women were more likely to engage in unhealthy weight control practices, such as cutting meals, vomiting, and using laxatives.12
Various theories have been put forth to account for the sexual orientation disparities in disordered eating. One major explanation derives from Meyer’s theory of minority stress,23 which proposes that many of the unhealthy behaviors and outcomes found among LGB individuals are influenced by the social stress they experience. Having to cope with stressors such as lack of social acceptance, harassment and rejection, and even instances of physical victimization can lead to depression, other psychological symptomatology, and in some individuals, to internalizing behaviors such as disordered eating. To the extent that the disordered eating behaviors found among LGB youth have been influenced by their experience of stress as a stigmatized minority, then we might expect that a more accepting social climate would result in better mental health and in lower rates of self-damaging behaviors such as disordered eating. The rapid improvements in social acceptance of sexual minority individuals – as witnessed by recent overturning of laws against same-sex sexual activity, the legalization of same-sex marriage, and the growing prominence of openly gay entertainers, sports stars, and other public figures – should at least in theory lead toward improvement in behavioral outcomes among sexual minorities and toward a reduction of the disparities observed in the past. To date, however, research in this area has looked only at single points in time, and not considered whether population-level changes have occurred among LGB youth compared to their heterosexual counterparts.
Current Study
In this study, we document trends in disordered eating behaviors over the span of 14 years using a population-based sample to identify whether there are trends in disordered eating for heterosexual, bisexual, gay, and lesbian youth separately for males and females in Massachusetts; whether there are disparities between heterosexual and sexual minority groups among male and female adolescents; and whether the gaps or disparities for disordered eating between the groups have narrowed, widened, or stayed the same over time. Based on previous reports that have found gender differences among disparities in disordered eating for sexual minority youth17 we stratified our analyses by sex to elucidate the unique trends for male and female heterosexual, gay, lesbian, and bisexual adolescents.
Method
Data
Data in this study were from the Massachusetts Youth Risk Behavior Survey (MYRBS). The MYRBS is a population-based survey of Massachusetts’s public high school students administered every two years since 1993. All regular public high schools were included in the sampling frame: between 57 (2003) and 75 (2013) schools were sampled. Schools were selected systematically with probability proportional to enrollment in grades 9 through 12 using a random start. The survey was developed by the Centers for Disease Control and Prevention, and the sampling procedures have been described in detail elsewhere: 1999;242003 and 2005; 25 and 2009 and 2011.26 Following standard CDC procedures for passive consent, schools notified all parents of youth in classrooms selected for YRBS participation, so that parents could request that their sons or daughters not participate in the survey. The survey is weighted such that a weight was associated with each questionnaire to reflect the likelihood of sampling each student and to reduce bias by compensating for minor differing patterns of non response.
Sample
We included students who provided valid responses to the sexual orientation question (See Measures section). For this paper, we included data from eight total survey years: 1999, 2001, 2003, 2005, 2007, 2009, 2011, and 2013. We combined these into four survey waves (i.e., 1999/2001, 2003/2005, 2007/2009, 2011/2013) and excluded 1995 and 1997 surveys due to low sample sizes of sexual minorities, resulting in a total of 26,002 participants. The overall response rates to the MYRBS varied from a low of 65% (2009) to a high of 77% (2001). The number of participants ranged from a low of 2,721 (2009) to 4,415 (1999). In 2013, 1.6% of our sample identified as gay or lesbian and 4.4% identified as bisexual. Sample sizes by sexual orientation, sex, and survey wave are presented in Table I.
Table I.
1999/2001 | 2003/2005 | 2007/2009 | 2011/2013 | |
---|---|---|---|---|
Male | ||||
Heterosexual | 4,054 (95.1%) | 3,279 (95.4%) | 2,712 (94.6%) | 2,565 (94.4%) |
Bisexual | 60 (1.3%) | 46 (1.3%) | 52 (1.8%) | 54 (2.0%) |
Gay | 37 (0.8%) | 41 (1.2%) | 64 (2.1% | 47 (1.7%) |
Female | ||||
Heterosexual | 3,902 (93.9%) | 3,306 (93.0%) | 2,630 (90.7%) | 2,397 (89.1%) |
Bisexual | 133 (3.3%) | 153 (4.1%) | 182 (6.3%) | 177 (6.8%) |
Lesbian | 15 (0.4%) | 25 (0.6%) | 36 (1.2%) | 35 (1.4%) |
Note.
Sample sizes are unweighted Ns;
Percents are weighted. Within each Wave/sex group, percents do not add up to 100% because youth who answered “not sure” on the sexual identity question are not included here.
Measures
Age
All participants were high school students in grades 9 though 12, ranging in age from 12 to 18. The mean age of the sample was 16.04 years. Subgroups did not differ significantly by age.
Sex
Participants were asked, “What is you r sex?” Response options were “Female” or “Male”.
Ethnicity
Participants self-reported their ethnicity. Response options included American Indian or Alaska Native, Asian, Black or African American, Hispanic/Latino, Native Hawaiian or Other Pacific Islander, and White. Students that indicated more than one race were coded multiracial. American Indian or Alaska Native, Asian, and Native Hawaiian or Other Pacific Islander were grouped together to form the ‘Other’ race category.
Sexual orientation
Sexual orientation was measured using a single item: “Which of the following best describes you?” Response options were “heterosexual (straight), “bisexual”, “gay or lesbian”, and “not sure”. We excluded participants who indicated they were not sure of their sexual orientation from our trend analyses due to the lack of clear interpretation for this group.27
Use of diet pills to lose weight
For the use of diet pills as a method to lose or control weight, we used one item: “During the past 30 days, did you take any diet pills, powders, or liquids without a doctor’s advice to lose weight or to keep from gaining weight? (Do not include meal replacement products such as Slim Fast.)” Response options were 1 (yes) and 0 (no).
Fasting to lose weight
To measure fasting as a method to lose or control weight, we used one item: “During the past 30 days, did you go without eating for 24 hours or more (also called fasting) to lose weight or to keep from gaining weight?” Response options were 1 (yes) and 0 (no).
Purging to lose weight
To measure purging as a method to lose or control weight, we used the item: “During the past 30 days, did you vomit or take laxatives to lose weight or to keep from gaining weight?” Response options were 1 (yes) and 0 (no).
Analyses
All data were weighted and adjusted for complex sampling design by using SPSS Complex Samples 22. Analyses were adjusted for age and ethnicity. Ethnicity was dummy coded into five groups: Black (Non-Hispanic), Hispanic/Latino, Asian(Non-Hispanic), Other(Multi-ethnic), and White(Non-Hispanic)(referent group). All analyses were conducted separately for males and females.
We first addressed whether the prevalence of disordered eating changed between years of analysis (e.g., from 1999/2001 to 2011/2013). We used cross tab analyses to describe the prevalence by survey wave for each sex/orientation group, then we tested changes in trends in disordered eating behaviors across survey waves within each sex/orientation group using logistic regressions by survey year (reference 1999/2001), controlled for age and ethnicity. An odds ratio (OR) above 1 indicates that students were more likely engage in disordered eating in a particular survey year compared to 1999/2001 (reference year) whereas an OR below 1 indicates lower odds of disordered eating compared to the reference year.
Next, we were interested in whether the prevalence of disordered eating differed between heterosexual youth and sexual minority youth in each survey year. To test this, we used logistic regressions with sexual orientation (reference heterosexual), age (control), and ethnicity (control) as predictor variables. ORs above 1 indicate that a sexual minority subgroup was more likely to report disordered eating compared to their heterosexual counterparts.
Finally, we tested whether the disparity between sexual minority and heterosexual groups changed across the years. We used logistic regressions adjusted for age and ethnicity, with year-by-orientation interaction terms. We tested the main effects of sexual orientation (reference heterosexual) and year (reference 1999/2001) and the product term of orientation*year, adjusted for age and ethnicity. The product term presented is a ratio of ORs, which compares the OR of an eating behavior (e.g., binge eating) for a particular subgroup (e.g., bisexual females) in a given year (e.g., 2007/2009) to the odds of the same behavior and subgroup of students in another survey year. Because ORs derived in separate samples cannot be directly compared28, we used this method to examine changes in disparities over time. To interpret this product term(OR), an estimate above 1 indicates that the change in disparities in a given year has widened (or increased) compared to 1999/2001 (the referent year in the interaction models). The inverse is true for a product term OR less than 1, in which case the change in disparity over time has narrowed (decreased) compared to 1999/2001. For more information on this method, see Homma, Saewyc, and Zumbo (2016).
Results
Overall prevalence and trends, by sexual orientation
Table I displays the sample sizes across each sexual orientation group in each wave.
As shown by significant odds ratios in Table II, there were declines in the prevalence of using diet pills to lose weight for both males and females. For males, a drop in use of diet pills was found for heterosexuals, who were nearly half as likely to use diet pills in 2011/2013 compared to 1999/2001. Bisexual males were about one quarter as likely to use diet pills to lose weight in 2011/2013 compared to 1999/2001. Despite a spike in prevalence of diet pill use in 2007/2009, diet pill use among gay males was not significantly different in the final wave than it had been initially. For females, heterosexuals’ use of diet pills dropped over time, and they were less than half as likely to use diet pills in 2011/2013 compared to 1999/2001. In addition, bisexual females were half as likely to use diet pills in 2011/2013 than 1999/2001. Diet pill use among lesbians remained statistically unchanged.
Table II.
Used Diet Pills to Lose Weight last 30 days (%; [95% CI]) | Trend 99/01 – 03/05 | Trend 99/01 – 07/09 | Trend 99/01 – 11/13 | ||||
---|---|---|---|---|---|---|---|
|
|||||||
1999/2001 | 2003/2005 | 2007/2009 | 2011/2013 | ORa (95% CI) | ORa (95% CI) | ORa (95% CI) | |
Male | |||||||
Heterosexual | 4.5 (3.9–4.8) | 4.5 (3.8–5.3) | 4.4 (3.6–5.4) | 2.5 (1.9–3.4) | 0.99 (0.78–1.26) | 0.94 (0.70–1.26) | 0.54 (0.38–0.75) |
Bisexual | 12.5 (7.9–19.2) | 10.4 (5.5–19.0) | 6.6 (4.1–10.7) | 5.4 (2.8–9.9) | 0.85 (0.42–1.73) | 0.39 (0.16–0.97) | 0.26 (0.08–0.82) |
Gay | 17.0 (12.6–22.6) | 11.8 (11.12–12.4) | 22.8 (18.9–27.2) | 13.1 (12.2–13.9) | 1.19 (0.86–1.65) | 2.33 (1.57–3.45) | 1.10 (0.76–1.59) |
Female | |||||||
Heterosexual | 10.0 (9.0–11.3) | 6.7 (5.7–7.8) | 5.1 (4.3–5.9) | 3.9 (3.1–4.9) | 0.62 (0.51–0.77) | 0.47 (0.38–0.57) | 0.37 (0.28–0.49) |
Bisexual | 14.6 (10.4–20.1) | 16.9 (13.6–20.8) | 15.2 (11.3–20.1) | 7.7 (4.9–11.9) | 1.24 (0.77–2.00) | 0.99 (0.56–1.71) | 0.49 (0.26–.0.90) |
Lesbian | 10.7 (10.6–10.9) | 19.2 (11.4–30.4) | 13.0 (12.2–13.8) | 20.6 (10.3–37.0) | 2.95 (1.40–6.23) | 0.66 (0.42–1.04) | 1.93 (0.96–3.89) |
Note. Data were weighted and adjusted for age and ethnicity (reference = White). OR in bold indicates p< .05; Each odds ratio parameter estimate compares changes in trends from the year indicated to the referent year (1999/2001) for each sexual orientation group separately.
OR: Adjusted Odds ratio.
CI: Confidence interval
Table III displays the trends in fasting to lose weight. Heterosexual youth, both male and female, declined significantly from 1999/2001 to 2011/2013 in their use of fasting to control their weight. Bisexual adolescents of both sexes remained unchanged, as did gay males. In contrast, for lesbians, the prevalence of fasting to lose weight actually increased. Lesbians in the final MYRBS wave were almost twice as likely to report fasting for weight control as they had been initially.
Table III.
Fasted to Lose Weight last 30 days (%; [95% CI]) | Trend 99/01 – 03/05 | Trend 99/01 – 07/09 | Trend 99/01 – 11/13 | ||||
---|---|---|---|---|---|---|---|
|
|||||||
1999/2001 | 2003/2005 | 2007/2009 | 2011/2013 | ORa (95% CI) | ORa (95% CI) | ORa (95% CI) | |
Male | |||||||
Heterosexual | 6.8 (6.1–7.6) | 6.3 (5.4–7.3) | 5.8 (4.8–7.1) | 5.2 (4.2–6.5) | 0.92 (0.76–1.12) | 0.84 (0.67–1.06) | 0.75 (0.58–0.96) |
Bisexual | 12.3 (8.3–17.7) | 16.9 (9.4–28.7) | 15.1 (12.1–18.7) | 17.3 (12.6–23.4) | 1.49 (0.68–3.27) | 1.11 (0.67–1.83) | 1.46 (0.83–2.57) |
Gay | 16.4 (10.0–25.7) | 21.4 (13.6–32.1) | 16.5 (11.6–23.0) | 17.0 (11.2–25.0) | 1.38 (0.90–1.26) | 1.00 (0.67–1.50) | 1.03 (0.60–1.76) |
Female | |||||||
Heterosexual | 17.8 (16.6–19.1) | 15.4 (13.9–17.1) | 12.1 (10.7–13.6) | 11.6 (10.0–13.3) | 0.84 (0.72–0.97) | 0.63 (0.54–0.75) | 0.61 (0.51–0.73) |
Bisexual | 32.8 (26.3–40.0) | 31.6 (25.5–38.4) | 22.8 (18.0–28.4) | 30.0 (24.2–36.6) | 0.95 (0.61–1.48) | 0.59 (0.38–0.91) | 0.84 (0.54–1.30) |
Lesbian | 22.2 (21.2–23.3) | 21.6 (15.6–28.9) | 30.8 (28.7–32.9) | 35.9 (25.3–48.2) | 1.18 (0.81–1.72) | 1.55 (1.14–2.10) | 2.30 (1.16–4.55) |
Note. Data were weighted and adjusted for age ethnicity (reference = White). OR in bold indicates p< .05; Each odds ratio parameter estimate compares changes in trends from the year indicated to the referent year (1999/2001) for each sexual orientation group separately.
OR: Adjusted Odds ratio.
CI: Confidence interval
The trends in purging to lose weight are shown in Table IV: there were significant decreases from 1999/2001 to 2011/2013 for heterosexual, bisexual, and gay males, and for heterosexual females. Among bisexual females, the prevalence of students who reported purging in the final wave was virtually the same as they had been initially. Lesbians, however, were more than twice as likely to fast to lose weight in 2011/2013 compared to 1999/2001.
Table IV.
Purged to Lose Weight last 30 days (%; [95% CI]) | Trend 99/01 – 03/05 | Trend 99/01 – 07/09 | Trend 99/01 – 11/13 | ||||
---|---|---|---|---|---|---|---|
|
|||||||
1999/2001 | 2003/2005 | 2007/2009 | 2011/2013 | ORa (95% CI) | ORa (95% CI) | ORa (95% CI) | |
Male | |||||||
Heterosexual | 3.8 (3.1–4.6) | 3.0 (2.5–3.8) | 3.0 (2.4–3.8) | 1.9 (1.3–2.6) | 0.80 (0.59–1.08) | 0.79 (0.58–1.09) | 0.49 (0.33–0.74) |
Bisexual | 10.6 (6.8–16.1) | 8.6 (2.2–28.5) | 16.6 (12.2–22.1) | 0.7 (0.6–0.7) | 0.82 (0.18–3.79) | 1.42 (0.75–2.68) | 0.05 (0.03–0.08) |
Gay | 35.2 (26.7–44.8) | 15.3 (13.9–16.8) | 13.9 (9.5–19.8) | 10.3 (8.0–13.2) | 0.33 (0.23–0.48) | 0.29 (0.17–0.50) | 0.22 (0.14–0.34) |
Female | |||||||
Heterosexual | 8.2 (7.3–9.1) | 7.3 (6.4–8.3) | 5.5 (4.6–6.5) | 5.3 (4.5–6.3) | 0.89 (0.74–1.07) | 0.66 (0.53–0.81) | 0.63 (0.51–0.78) |
Bisexual | 11.9 (7.5–18.4) | 23.1 (18.0–29.0) | 14.5 (10.9–19.0) | 11.9 (7.6–18.0) | 2.22 (1.21–4.09) | 1.21 (0.65–2.25) | 0.95 (0.47–1.93) |
Lesbian | 10.7 (10.6–10.9) | 17.2 (5.4–42.7) | 13.5 (12.7–14.4) | 22.5 (12.6–36.8) | 2.08 (0.52–8.28) | 1.27 (1.08–1.50) | 2.57 (1.22–5.39) |
Note. Data were weighted and adjusted for age ethnicity (reference = White). OR in bold indicates p< .05; Each odds ratio parameter estimate compares changes in trends from the year indicated to the referent year (1999/2001) for each sexual orientation group separately.
OR: Adjusted Odds ratio.
CI: Confidence interval
Figures 1 and 2 visually illustrate these changes in purging to lose weight among different subgroups without the adjustments for age and ethnicity.
Sexual orientation-based differences, by survey year
Table V presents odds ratios (ORs) adjusted for age and ethnicity for the associations between disordered eating and sexual orientation in each survey wave. Within each wave/sex group, bisexual and gay/lesbian youth were compared to the reference group of heterosexuals.
Table V.
1999/2001 | 2003/2005 | 2007/2009 | 2011/2013 | |
---|---|---|---|---|
Using Diet Pills | ||||
| ||||
Male | ||||
Heterosexual | ref | ref | ref | ref |
Bisexual | 2.88 (1.43–5.81) | 2.34 (1.00–5.49) | 1.62 (0.60–4.38) | 2.17 (0.59–8.01) |
Gay | 3.04 (0.83–11.11) | 2.70 (0.92–7.95) | 5.98 (3.37–10.64) | 4.77 (1.65–13.81) |
Female | ||||
Heterosexual | ref | ref | ref | ref |
Bisexual | 1.46 (0.88–2.43) | 2.91 (1.91–4.42) | 3.35 (2.08–5.41) | 1.97 (1.03–3.78) |
Lesbian | 1.13 (0.25–5.19) | 3.45 (0.97–12.28) | 2.04 (0.57–7.28) | 5.62 (1.95–16.22) |
| ||||
Fasting | ||||
| ||||
Male | ||||
Heterosexual | ref | ref | ref | ref |
Bisexual | 1.86 (0.97–3.56) | 3.01 (1.28–7.08) | 3.36 (1.36–8.32) | 4.07 (1.68–9.86) |
Gay | 2.82 (0.98–8.10) | 4.03 (1.50–10.82) | 2.35 (1.10–5.01) | 3.50 (1.20–10.22) |
Female | ||||
Heterosexual | ref | ref | ref | ref |
Bisexual | 2.19 (1.52–3.15) | 2.61 (1.72–3.96) | 2.11 (1.44–3.11) | 3.19 (2.10–4.86) |
Lesbian | 1.30 (0.53–3.18) | 1.11 (0.32–3.86) | 2.75 (1.23–6.16) | 4.11 (2.09–8.10) |
| ||||
Purging | ||||
| ||||
Male | ||||
Heterosexual | ref | ref | ref | ref |
Bisexual | 3.03 (1.31–7.06) | 2.92 (0.67–12.71) | 6.88 (3.58–13.23) | 0.38 (0.05–2.97) |
Gay | 15.88 (6.53–38.66) | 5.78 (2.28–14.63) | 5.43 (2.68–11.03) | 5.00 (1.70–14.67) |
Female | ||||
Heterosexual | ref | ref | ref | ref |
Bisexual | 1.47 (0.77–2.79) | 4.00 (2.66–6.03) | 2.78 (1.73–4.45) | 2.48 (1.43–4.32) |
Lesbian | 1.46 (0.33–6.39) | 2.94 (0.68–12.71) | 2.46 (0.95–6.38) | 5.90 (2.58–13.45) |
Note. Data were weighted and adjusted for age and ethnicity (reference = White). 95% confidence intervals are in parentheses, Odds ratio in bold indicates p< .05.
Of the 48 comparisons, all but one show increased risk for sexual minority youth. Most are statistically significant. For example, in 1999/2001 bisexual males were more likely to use diet pills and to purge to lose or control weight compared to their heterosexual counterparts. In 2003/2005, bisexual females were more likely to fast, use diet pills, and purge to lose weight compared to their heterosexual counterparts.
The disparities among gay and lesbian students were also disturbingly high. In 2011/2013, gay males were more likely to fast, use diet pills, and purge to lose weight compared to their heterosexual counterparts. In 1999/2001, gay males were nearly 16 times more likely to purge to lose weight compared to heterosexual peers. Lesbian females in 2007/2009 reported higher prevalence of fasting, purging, and using diet pills to lose weight in comparison to heterosexual females.
Changes in Disparities over Time
We next examined whether the disparity in disordered eating between sexual minority and heterosexual youth widened or narrowed from 1999/2001 to 2003/2005, 2007/2009, and 2011/2013 (presented in Table VI). In most instances, increases or reductions in the disparities between sexual minority and heterosexual youth were not significant, though there are a few exceptions. For females, the statistically significant product of wave by sexual orientation (presented as odds ratios)for lesbians indicates that the gap in fasting to lose weight significantly widened (as the AOR is above 1) between 1999/2001 and 2011/2013 for lesbians compared to heterosexual females. There was also a widening gap for bisexual females compared to heterosexual females in using diet pills to lose weight from 1999/2001 to 2007/2009 and purging to lose weight from 1999/2001 to 2005/2007, though these increases in disparities were no longer statistically significant by 2011/2013. Specifically, this product is determined by statistically comparing the odds ratio (disparity) of bisexual females (referent group is heterosexual females) in 2011/2013 to the odds ratio of bisexual females in 1999/2001 (the referent year in the models).
Table VI.
Male ORa(95% CI) |
Female ORa(95% CI) |
|
---|---|---|
Using Diet Pills | ||
| ||
Heterosexual by Year 99/01 | ref | ref |
Bisexual by Year 03/05 | 0.82 (0.28–2.42) | 1.95 (1.03–3.72) |
Bisexual by Year 07/09 | 0.57 (0.17–1.83) | 2.20 (1.10–4.41) |
Bisexual by Year 11/13 | 0.75 (0.17–3.25) | 1.36 (0.61–3.02) |
Gay/Lesbian by Year 03/05 | 0.86 (0.16–4.56) | 3.23 (0.46–22.61) |
Gay/Lesbian by Year 07/09 | 1.87 (0.47–7.52) | 1.86 (0.27–12.84) |
Gay/Lesbian by Year 11/13 | 1.48 (0.29–7.53) | 5.40 (0.86–33.86) |
| ||
Fasting | ||
| ||
Heterosexual by Year 99/01 | ref | ref |
Bisexual by Year 03/05 | 1.57 (0.53–4.62) | 1.18 (0.69–2.03) |
Bisexual by Year 07/09 | 1.63 (0.54–4.90) | 0.95 (0.56–1.59) |
Bisexual by Year 11/13 | 2.22 (0.75–6.55) | 1.44 (0.84–2.49) |
Gay/Lesbian by Year 03/05 | 1.33 (0.33–6.04) | 0.89 (0.20–3.95) |
Gay/Lesbian by Year 07/09 | 0.88 (0.23–3.28) | 2.06 (0.63–6.81) |
Gay/Lesbian by Year 11/13 | 1.27 (0.28–5.78) | 3.24 (1.07–9.80) |
| ||
Purging | ||
| ||
Heterosexual by Year 99/01 | ref | ref |
Bisexual by Year 03/05 | 0.97 (0.19–5.11) | 2.66 (1.27–5.57) |
Bisexual by Year 07/09 | 2.28 (0.78–6.63) | 1.87 (0.86–4.04) |
Bisexual by Year 11/13 | 0.13 (0.01–1.14) | 1.64 (0.72–3.76) |
Gay/Lesbian by Year 03/05 | 0.37 (0.11–1.31) | 2.17 (0.27–17.25) |
Gay/Lesbian by Year 07/09 | 0.36 (0.12–1.11) | 1.78 (0.31–10.26) |
Gay/Lesbian by Year 11/13 | 0.36 (0.09–1.40) | 4.18 (0.77–22.68) |
Note. Data were weighted. Odd ratio in bold indicates p < .05. ref: Reference group 1999/2001.
The model included sexual orientation, survey year, ethnicity (reference = White), and grade along with orientation-by-year interaction; OR: Odds ratio.
CI: Confidence interval.
Discussion
The purpose of this study was to examine the trends in disordered eating behaviors for adolescent heterosexual and sexual minority males and females and to determine whether the gaps have narrowed, widened, or stayed the same over time between sexual minorities. The findings from this study corroborate previous evidence that suggests sexual minority youth are at higher risk for disordered eating compared to their heterosexual counterparts1 and suggest this disparity is not improving. Even so, the prevalence of disordered eating behaviors for most sexual orientation groups decreased between 1999/2001 and 2011/2013. According to our logistic regression analyses, the odds of using diet pills to control weight decreased in that time for all youth except lesbians and gay males. The odds of fasting decreased for heterosexual males and females, and purging decreased for heterosexuals, bisexual males, and gay males. In contrast to these positive trends, the odds of fasting, using diet pills, and purging to control weight were mostly unchanged for bisexual females, and increased (at least twice the odds for each variable) among lesbians.
The picture of shifts in disparities is more complex, but clearly sex-related. Among males, there were no significant changes in disparity over time. Although we can be pleased at the marked improvements among males, we cannot say that there has been any definitive reduction in sexual orientation disparities. Among females, the pattern is more concerning for bisexual and lesbian females, as the sexual orientation disparities for use of diet pills, fasting, and purging have widened over time, though by the final MYRBS wave these results were significant only for lesbians’ fasting behavior.
We found several extreme disparities when comparing sexual minority youth to their heterosexual counterparts. In all comparisons, the odds of engaging in purging, fasting, and using diet pills were higher among bisexuals and gay/lesbians compared to heterosexuals. This study documents some changes over time but does not provide information on possible explanatory factors. Future studies might explore how minority stress30 and the stress associated with the public disclosure of a sexual minority status (“coming out”) during adolescence are related to disordered eating for sexual minorities.31 Exposure to stigma, discrimination, or rejection from significant others has deleterious effects on self-esteem, which in turn is a key factor in the development of eating disorders.23,32
Disordered eating and the use of unhealthy weight control behaviors have long been associated with physiological and psychological problems such as lower metabolic rate, decreased long-term weight gain, and depression.2–5 Emerging longitudinal research finds that the prevalence of these behaviors continues from adolescence through young adulthood.7 Given the immediate and long term effects associated with disordered eating behaviors, it is important for researchers, policy makers, and clinicians to develop appropriate interventions that are aimed at sexual minority youth.
Our results show clear improvements over time in disordered eating among sexual minority males but not among females. Why might interventions, policies, and/or shifts in social environments be associated with improvements for males but not females? In particular, why is the prevalence of disordered eating among lesbian girls increasing, and sexual orientation disparities widening for them? To address this issue, scholars may need to examine the mechanisms through which disordered eating interventions work to reduce the prevalence of disordered eating – such as a focus on body image –specific for sex, to elucidate aspects that may differentially affect gay, lesbian, and bisexual males and females. Alternately, researchers may need to more closely examine the potential differential sexed effects of policies and programs that aim to reduce homophobia and support sexual minority adolescents. An important challenge will be disentangling the complexities related to the intersectionality of sexual orientation, sex, and age.
This study had several strengths: we used a population-based statewide survey and assessed the trends of disordered eating measures assessed identically over eight waves of data. In addition, we traced the changes in disparities and identified widening and narrowing gaps in disparities over time and sexual orientation: no studies have done this to date. We also stratified our analyses by sex and found important and dramatic differences between males and females.
Limitations and Conclusions
There were also some limitations to this study. First, data presented here came from one state; results from Massachusetts may or may not be generalizable to other states. Massachusetts has led the United States in policies and laws, such as same-sex marriage, that have protected the rights of sexual minorities. The generally more supportive social climate for sexual minority individuals in Massachusetts may have indirectly influenced the health risk behaviors of LGB youth. Also, despite the large sample sizes available with the MYRBS data, there were still small numbers of sexual minority youth in the unweighted sample data. Our items were all youth-reported and single measurements of disordered eating behaviors; future research might employ clinical screening for different perspectives of disordered eating. Last, though our measure of sexual orientation remained constant over all four waves, we acknowledge that societal stigma toward sexual minorities may have led to underreporting of sexual minority status disproportionately in the earlier survey years. We cannot account for this in our analyses, but we posit that it is societal stigma responsible for both the widening disparities in disordered eating and perhaps underreports of sexual minority students in our survey.
In summary, we sought to explore the trends in disordered eating over time to consider whether the disparities had narrowed or widened across sexual orientation groups since 1999/2001. While we found the that prevalence of disordered eating has decreased across nearly all subgroups since 1999/2001, sexual minority males and females still report higher prevalence of purging, using diet pills, and fasting to lose weight in the most recent survey wave compared to their heterosexual counterparts. In addition, disparities have actually widened for sexual minority females compared to heterosexual peers. These findings illuminate important health concerns for sexual minorities—especially females—and shed light on the need for further scholarship around reducing disparities in disordered eating for this population.
Acknowledgments
This study was funded by grants #CPP 86374 and #MOP 119472 from the Canadian Institutes of Health Research. The authors acknowledge the Massachusetts Department of Elementary and Secondary Education for access to the Youth Risk Behavior Surveys.
Contributor Information
Ryan J. Watson, University of British Columbia.
Jones Adjei, University of British Columbia.
Elizabeth Saewyc, University of British Columbia.
Yuko Homma, Mukogawa Women’s University.
Carol Goodenow, Independent Research/Evaluation Consultant, Northborough, MA.
References
- 1.Institute of Medicine. The Health of Lesbian, Gay, Bisexual, and Transgender People: Building a Foundation for Better Understanding. Washington, DC: The National Academies Press; 2010. [PubMed] [Google Scholar]
- 2.Haus G, Hoerr SL, Mavis B, Robison J. Key modifiable factors in weight maintenance: fat intake, exercise, and weight cycling. Journal of the American Dietetic Association. 1994;94:409–413. doi: 10.1016/0002-8223(94)90096-5. [DOI] [PubMed] [Google Scholar]
- 3.Leibel RL, Rosenbaum M, Hirsch J. Changes in energy expenditure resulting from altered body weight. New England Journal of Medicine. 1995;332:621–628. doi: 10.1056/NEJM199503093321001. [DOI] [PubMed] [Google Scholar]
- 4.Peters PK, Amos RJ, Hoerr SL, Koszewski W, Huang Y, Betts N. Questionable dieting behaviors are used by young adults regardless of sex or student status. Journal of the American Dietetic Association. 1996;96:709–711. doi: 10.1016/s0002-8223(96)00194-0. [DOI] [PubMed] [Google Scholar]
- 5.Katz-Wise SL, Blood EA, Milliren CE, Calzo JP, Richmond TK, Gooding HC, Austin SB. Sexual orientation disparities in BMI among US adolescents and young adults in three race/ethnicity Groups. Journal of Obesity. 2014;14:1–8. doi: 10.1155/2014/537242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Katz-Wise SL, Jun HJ, Corliss HL, Jackson B, Haines J, Austin SB. Child abuse as a predictor of gendered sexual orientation disparities in body mass index trajectories among US youth from the Growing Up Today Study. Journal of Adolescent Health. 2014;54:730–738. doi: 10.1016/j.jadohealth.2013.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Neumark-Sztainer D, Wall M, Larson NI, Eisenberg ME, Loth K. Dieting and disordered eating behaviors from adolescence to young adulthood: findings from a 10-year longitudinal study. Journal of the American Dietetic Association. 2011;111:1004–1011. doi: 10.1016/j.jada.2011.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Neumark-Sztainer D, Wall MM, Larson M, Story M, Fulkerson JA, Eisenberg ME, Hannan PJ. Secular trends in weight status and weight-related attitudes and behaviors in adolescents from 1999 to 2010. Preventive Medicine. 2012;54:77–81. doi: 10.1016/j.ypmed.2011.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Chao YH, Pisetsky EM, Dierker LC, Dohm FA, Rosselli F, May AM, Striegel-Moore RH. Ethnic differences in weight control practices among US adolescents from 1995 to 2005. International Journal of Eating Disorders. 2008;41:124–133. doi: 10.1002/eat.20479. [DOI] [PubMed] [Google Scholar]
- 10.Austin SB, Ziyadeh NJ, Corliss HL, Rosario M, Wypij D, Haines J, et al. Sexual orientation disparities in purging and binge eating from early to late adolescence. Journal of Adolescent Health. 2009;45:238–245. doi: 10.1016/j.jadohealth.2009.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Calzo JP, Corliss HL, Blood EA, Field AE, Austin SB. Development of muscularity and weight concerns in heterosexual and sexual minority males. Health Psychology. 2013;32:42–51. doi: 10.1037/a0028964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Calzo JP, Roberts AL, Corliss HL, Blood EA, Kroshus E, Austin SB. Physical activity disparities in heterosexual and sexual minority youth ages 12–22 years old: roles of childhood gender nonconformity and athletic self-esteem. Annals of Behavioral Medicine. 2014;47:17–27. doi: 10.1007/s12160-013-9570-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Matthews-Ewald MR, Zullig KJ, Ward RM. Sexual orientation and disordered eating behaviors among self-identified male and female college students. Eating Behaviors. 2014;15:441–444. doi: 10.1016/j.eatbeh.2014.05.002. [DOI] [PubMed] [Google Scholar]
- 14.Polimeni AM, Austin SB, Kavanagh AM. Sexual orientation and weight, body image, and weight control practices among young Australian women. Journal of Women’s Health. 2009;18:355–362. doi: 10.1089/jwh.2007.0765. [DOI] [PubMed] [Google Scholar]
- 15.Rosario M, Corliss HL, Everett BG, Reisner SL, Austin SB, Buchting FO, et al. Sexual orientation disparities in cancer-related risk behaviors of tobacco, alcohol, sexual behaviors, and diet and physical activity: Pooled Youth Risk Behavior Surveys. American Journal of Public Health. 2014;104:245–254. doi: 10.2105/AJPH.2013.301506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Rothman EF, Sullivan M, Keyes S, Boehmer U. Parents’ supportive reactions to sexual orientation disclosure associated with better health: Results from a population-based survey of LGB adults in Massachusetts. Journal of Homosexuality. 2012;59:186–200. doi: 10.1080/00918369.2012.648878. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Feldman MB, Meyer IH. Eating disorders in diverse lesbian, gay, and bisexual populations. International Journal of Eating Disorders. 2007;40:218–226. doi: 10.1002/eat.20360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Siconolfi D, Halkitis PN, Allomong TW, Burton CL. Body dissatisfaction and eating disorders in a sample of gay and bisexual men. International Journal of Men’s Health. 2009;8:254–264. [Google Scholar]
- 19.Coker TR, Austin SB, Schuster MA. The health and health care of lesbian, gay, and bisexual adolescents. Annual Review of Public Health. 2010;31:457–477. doi: 10.1146/annurev.publhealth.012809.103636. [DOI] [PubMed] [Google Scholar]
- 20.Austin SB, Ziyadeh N, Kahn JA, Camargo CA, Colditz GA, Field AE. Sexual orientation, weight concerns, and eating-disordered behaviors in adolescent females and males. Journal of the American Academy of Child & Adolescent Psychiatry. 2004;43:1115–1123. doi: 10.1097/01.chi.0000131139.93862.10. [DOI] [PubMed] [Google Scholar]
- 21.Robin L, Brener ND, Donahue SF, Hack T, Hale K, Goodenow C. Associations between health risk behaviors and opposite-, same-, and both-sex sexual partners in representative samples of Vermont and Massachusetts high school students. Archives of Pediatrics & Adolescent Medicine. 2002;156:349–355. doi: 10.1001/archpedi.156.4.349. [DOI] [PubMed] [Google Scholar]
- 22.Hadland SE, Austin SB, Goodenow CS, Calzo JP. Weight misperception and unhealthy weight control behaviors among sexual minorities in the general adolescent population. Journal of Adolescent Health. 2014;54:296–303. doi: 10.1016/j.jadohealth.2013.08.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Meyer IH. Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence. Psychological Bulletin. 2003;129:674–697. doi: 10.1037/0033-2909.129.5.674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Silverman JG, Raj A, Mucci LA, Hathaway JE. Dating violence against adolescent girls and associated substance use, unhealthy weight control, sexual risk behavior, pregnancy, and suicidality. Journal of the American Medical Association. 2001;286:572–579. doi: 10.1001/jama.286.5.572. [DOI] [PubMed] [Google Scholar]
- 25.Matthews DD, Blosnich JR, Farmer GW, Adams BJ. Operational definitions of sexual orientation and estimates of adolescent health risk behaviors. LGBT Health. 2014;1:42–49. doi: 10.1089/lgbt.2013.0002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Gonsalves D, Hawk H, Goodenow C. Unhealthy weight control behaviors and related risk factors in Massachusetts middle and high school students. Maternal and Child Health Journal. 2014;18:1803–1813. doi: 10.1007/s10995-013-1424-5. [DOI] [PubMed] [Google Scholar]
- 27.French SA, Story M, Remafedi G, Resnick MD, Blum RW. Sexual orientation and prevalence of body dissatisfaction and eating disordered behaviors: A population-based study of adolescents. International Journal of Eating Disorders. 1996;19:119–126. doi: 10.1002/(SICI)1098-108X(199603)19:2<119::AID-EAT2>3.0.CO;2-Q. [DOI] [PubMed] [Google Scholar]
- 28.Altman DG, Bland JM. Interaction revisited: The difference between two estimates. BMJ. 2003;326:219. doi: 10.1136/bmj.326.7382.219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Homma Y, Saewyc E, Zumbo B. Is it getting better? An analytical method to test trends in health disparities, with tobacco use among sexual minority vs. heterosexual youth as an example. International Journal of Equity in Health. doi: 10.1186/s12939-016-0371-3. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Saewyc EM. Research on adolescent sexual orientation: Development, health disparities, stigma, and resilience. Journal of Research on Adolescence. 2011;21:256–272. doi: 10.1111/j.1532-7795.2010.00727.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Bosley A. Body image and eating disturbance in gay and bisexual men: A review. Journal of GLBT Family Studies. 2001;7:457–469. [Google Scholar]
- 32.Williamson I, Hartley P. British research into the increased vulnerability of young gay men to eating disturbance and body dissatisfaction. European Eating Disorders Review. 1998;6:160–170. [Google Scholar]