Investigating Eating Symptoms in the LGBTQIA+ Population: Do Discrimination and Adverse Conditions Matter?

BACKGROUND

Eating disorders (EDs) have traditionally been studied among heterosexual cisgender women, but recent research highlights a higher prevalence in LGBTQIA+ individuals.

AIMS

This study aims (1) to investigate the association between different groups based on gender identity and sexual orientation (GISO) and experiencing eating symptoms, and (2) to explore the extent to which self-perceived discrimination and adverse conditions explain this association.

METHODS

We administered an online survey to assess eating symptoms using the Eating Disorder Examination Questionnaire (EDE-Q 6.0) and measures of self-perceived discrimination and adverse conditions. Multistep logistic regressions were employed to analyze the associations between GISO and eating symptoms, initially unadjusted, then adjusted for sociodemographic variables, and finally adjusted for self-perceived discrimination and/or adverse conditions.

RESULTS

A total of 560 adults aged 30 ± 10.9 years old were included. After adjusting for socio-demographics all groups were more likely to experience eating symptoms compared to heterosexual men, with odds ratios (ORs) of 5.7 [95% CI: 1.3, 24.3] for cisgender heterosexual women, 6.7 [95% CI: 1.5, 29.8] for cisgender non-heterosexual women, and 9.3 [95% CI: 1.8, 47.5] for non-cisgender individuals. After adjusting for self-perceived discrimination and adverse conditions, the associations for women were attenuated, while the associations for non-cisgender individuals were no longer significant.

CONCLUSION

This study (1) confirms that sexual and gender minorities may be at higher risk for EDs, and (2) suggests that discrimination and adverse conditions may contribute to the higher prevalence of eating symptoms in this population. Additional research is needed to investigate these minority stressors as they may represent targets for effective interventions to prevent eating symptoms in the LGBTQIA+ community.