Development and validation of a measure of curvy ideals internalization

Walker, D. Catherine; Gaither, Sarah E.; Santos, Bonelyn De Los; Keigan, Jessica; Schaefer, Lauren M.; Thompson, J. Kevin

doi:10.1016/j.bodyim.2022.09.005

Cited by 6 publications

(1 citation statement)

References 80 publications

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“…There also remains a gap in both clinical and research measures that are well‐validated for Black, Indigenous, Latinx, and other people of color (Kelly et al, 2012) and for TGD populations, possibly exacerbating underdiagnoses in these groups. On a promising note, this gap is starting to be addressed (Duffy et al, n.d.; Hernández et al, 2021; Hunter et al, 2021; McEntee et al, 2021; Nagata, Compte, et al, 2020; Nagata, Murray, et al, 2020; Walker et al, 2022). To develop more sophisticated and valid survey measures and to advance understanding of the mechanisms underlying these patterns at the intersection of race/ethnicity and gender identity, qualitative and community‐led research is urgently needed.…”

Section: Discussionmentioning

confidence: 99%

Intersecting gender identity and racial/ethnic inequities in eating disorder risk factors, symptoms, and diagnosis among U.S. college students: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy

Gordon,

Beccia,

Egan

et al. 2023

Intl J Eating Disorders

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IntroductionThere are documented inequities in eating disorders (EDs) by gender and race/ethnicity, yet, little is known about population‐level prevalence of ED risk factors, symptoms, and diagnosis at the intersection of diverse gender and racial/ethnic identities.MethodsData from the Healthy Minds Study 2015–2019 (N = 251,310 U.S. university students) were used in a multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA). Participants were nested in 35 intersectional strata given by all combinations of 5 gender and 7 racial/ethnic categories. Multilevel logistic models with participants at level 1 and intersectional strata at level 2 were used to estimate stratum‐specific predicted prevalence estimates for self‐reported thin‐ideal internalization, ED symptoms, and ED diagnosis. The variance partition coefficient (VPC) was calculated to quantify the contextual effect of the strata.ResultsThere was considerable heterogeneity in the predicted prevalence of our ED outcomes across the strata (e.g., .3%–18.3% for ED diagnoses). There were large disparities in all three outcomes, with transgender participants of color having a higher predicted prevalence than expected based on the additive effects of gender and race/ethnicity. Moderation by race/ethnicity was also apparent, such that racial/ethnic disparities were wider within the cisgender groups relative to the transgender groups. VPCs indicated that ~10% of the total variance in ED outcomes was due to intersectionality between gender and race/ethnicity, over and above variance due to individual‐level differences.ConclusionFindings suggest that gender and racial/ethnic disparities in EDs are interrelated, underscoring the need to develop preventive interventions centering health equity.Public significanceDespite evidence that sexism, racism, and cissexism (i.e., anti‐transgender prejudice) can impact EDs risk, little research examines the social patterning of EDs at the intersection of diverse gender and racial/ethnic identities. Using data from a sample of 250,000 U.S. university students, this study found that gender and racial/ethnic disparities in eating disorder risk are interrelated, highlighting the need to develop health equity centered preventive interventions.

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