IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v384y2025ics0277953625009189.html

Inequities in eating disorder diagnoses in college students: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)

Author

Listed:
  • Andrysiak, Nicholas K.
  • Chakraborty, Payal
  • Beccia, Ariel L.
  • Charlton, Brittany M.
  • Reynolds, Colleen A.

Abstract

Eating disorders contribute significantly to negative health outcomes across a broad range of domains. Despite their often-debilitating effects, they remain understudied, especially with respect to the experiences of people who are marginalized by multiple structural systems of power and oppression. The intersectionality framework highlights the mutually constitutive nature of those systems and the ways by which they uniquely shape lived experiences within and between populations. We used data from the American College Health Association National College Health Assessment III (ACHA-NCHA III), a repeated cross-sectional survey of college students, to estimate the prevalence of eating disorder diagnoses across intersections of gender identity, sexual orientation, race/ethnicity, and parental education via a Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Two models were fit, one assessing only stratum-specific variations and another including race/ethnicity, gender identity, sexual orientation, and parental education as main effects. The prevalence of eating disorder diagnoses in the sample was 5.13 %, with stratum-specific prevalence estimates ranging from 0.44 % for Black, straight, cisgender men whose parents have a bachelor's degree to 19.20 % for transfeminine and nonbinary, bisexual/pansexual, Indigenous people whose parents have more than a bachelor's degree. There was a large main effect of gender identity, with strata inclusive of transfeminine and nonbinary individuals having 6.55 times greater odds (95 % CI: 5.70–7.51) of eating disorder diagnoses compared to cisgender men. Intersectional interactions between gender identity, sexual orientation, race/ethnicity, and parental education contributed to 2.66 % excess prevalence among White, bisexual/pansexual, cisgender women whose parents had less than a bachelor's degree, and 2.93 % lower prevalence among White, gay/lesbian, transfeminine and nonbinary people whose parents had less than a bachelor's degree. These findings emphasize the concerning inequities in eating disorder diagnoses among college students, and call attention to the multiple, interlocking systems of power and oppression that shape them.

Suggested Citation

  • Andrysiak, Nicholas K. & Chakraborty, Payal & Beccia, Ariel L. & Charlton, Brittany M. & Reynolds, Colleen A., 2025. "Inequities in eating disorder diagnoses in college students: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)," Social Science & Medicine, Elsevier, vol. 384(C).
  • Handle: RePEc:eee:socmed:v:384:y:2025:i:c:s0277953625009189
    DOI: 10.1016/j.socscimed.2025.118587
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953625009189
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2025.118587?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Evans, Clare R. & Erickson, Natasha, 2019. "Intersectionality and depression in adolescence and early adulthood: A MAIHDA analysis of the national longitudinal study of adolescent to adult health, 1995–2008," Social Science & Medicine, Elsevier, vol. 220(C), pages 1-11.
    2. Zubizarreta, Dougie & Beccia, Ariel L. & Trinh, Mai-Han & Reynolds, Colleen A. & Reisner, Sari L. & Charlton, Brittany M., 2022. "Human papillomavirus vaccination disparities among U.S. college students: An intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)," Social Science & Medicine, Elsevier, vol. 301(C).
    3. Evans, Clare R. & Williams, David R. & Onnela, Jukka-Pekka & Subramanian, S.V., 2018. "A multilevel approach to modeling health inequalities at the intersection of multiple social identities," Social Science & Medicine, Elsevier, vol. 203(C), pages 64-73.
    4. Bowleg, L., 2012. "The problem with the phrase women and minorities: Intersectionality-an important theoretical framework for public health," American Journal of Public Health, American Public Health Association, vol. 102(7), pages 1267-1273.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aránzazu Hernández-Yumar & Maria Wemrell & Ignacio Abásolo-Alessón & Beatriz González López-Valcárcel & Juan Merlo, 2023. "Impact of the Economic Crisis on Body Mass Index in Spain: An Intersectional Multilevel Analysis Using a Socioeconomic and Regional Perspective," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(4), pages 1-31, August.
    2. Alvarez, Camila H. & Evans, Clare Rosenfeld, 2021. "Intersectional environmental justice and population health inequalities: A novel approach," Social Science & Medicine, Elsevier, vol. 269(C).
    3. Evans, Clare R., 2019. "Adding interactions to models of intersectional health inequalities: Comparing multilevel and conventional methods," Social Science & Medicine, Elsevier, vol. 221(C), pages 95-105.
    4. Bell, Andrew & Evans, Clare & Holman, Dan & Leckie, George, 2024. "Extending intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to study individual longitudinal trajectories, with application to mental health in the UK," Social Science & Medicine, Elsevier, vol. 351(C).
    5. Daniel Holman & Alan Walker, 2021. "Understanding unequal ageing: towards a synthesis of intersectionality and life course analyses," European Journal of Ageing, Springer, vol. 18(2), pages 239-255, June.
    6. Zubizarreta, Dougie & Beccia, Ariel L. & Trinh, Mai-Han & Reynolds, Colleen A. & Reisner, Sari L. & Charlton, Brittany M., 2022. "Human papillomavirus vaccination disparities among U.S. college students: An intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)," Social Science & Medicine, Elsevier, vol. 301(C).
    7. Bright, Sophie & Buckley, Charlotte & Holman, Daniel & Leckie, George & Bell, Andrew & Mulia, Nina & Kilian, Carolin & Purshouse, Robin, 2024. "An analysis of intersectional disparities in alcohol consumption in the US," Social Science & Medicine, Elsevier, vol. 363(C).
    8. Fagrell Trygg, Nadja & Månsdotter, Anna & Gustafsson, Per E., 2021. "Intersectional inequalities in mental health across multiple dimensions of inequality in the Swedish adult population," Social Science & Medicine, Elsevier, vol. 283(C).
    9. repec:osf:socarx:jq57s_v1 is not listed on IDEAS
    10. Bell, Andrew & Evans, Clare & Holman, Daniel & Leckie, George, 2023. "Extending intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) for longitudinal data, with application to mental health trajectories in the UK," SocArXiv jq57s, Center for Open Science.
    11. Wilkes, Rima & Karimi, Aryan, 2024. "What does the MAIHDA method explain?," Social Science & Medicine, Elsevier, vol. 345(C).
    12. Evans, Clare R. & Erickson, Natasha, 2019. "Intersectionality and depression in adolescence and early adulthood: A MAIHDA analysis of the national longitudinal study of adolescent to adult health, 1995–2008," Social Science & Medicine, Elsevier, vol. 220(C), pages 1-11.
    13. Beccia, Ariel L. & Agénor, Madina & Baek, Jonggyu & Ding, Eric Y. & Lapane, Kate L. & Austin, S. Bryn, 2024. "Methods for structural sexism and population health research: Introducing a novel analytic framework to capture life-course and intersectional effects," Social Science & Medicine, Elsevier, vol. 351(S1).
    14. Park, In Young & Speer, Rachel & Whitfield, Darren L. & Kattari, Leo & Walls, Eugene N. & Christensen, Candace, 2022. "Predictors of bullying, depression, and suicide attempts among youth: The intersection of race/ethnicity by gender identity," Children and Youth Services Review, Elsevier, vol. 139(C).
    15. Francesca Brivio & Anna Viganò & Annalisa Paterna & Nicola Palena & Andrea Greco, 2023. "Narrative Review and Analysis of the Use of “Lifestyle” in Health Psychology," IJERPH, MDPI, vol. 20(5), pages 1-18, March.
    16. Anna Persmark & Maria Wemrell & Sofia Zettermark & George Leckie & S V Subramanian & Juan Merlo, 2019. "Precision public health: Mapping socioeconomic disparities in opioid dispensations at Swedish pharmacies by Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-21, August.
    17. Philipp Jaehn & Emily Mena & Sibille Merz & Robert Hoffmann & Antje Gößwald & Alexander Rommel & Christine Holmberg & on behalf of the ADVANCE GENDER study group, 2020. "Non-response in a national health survey in Germany: An intersectionality-informed multilevel analysis of individual heterogeneity and discriminatory accuracy," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    18. Beccia, Ariel L. & Baek, Jonggyu & Austin, S. Bryn & Jesdale, William M. & Lapane, Kate L., 2021. "Eating-related pathology at the intersection of gender identity and expression, sexual orientation, and weight status: An intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) of the Growing Up Today Stud," Social Science & Medicine, Elsevier, vol. 281(C).
    19. Evans, Clare & Leckie, George & Subramanian, SV & Bell, Andrew & Merlo, Juan, 2024. "A Tutorial for Conducting Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)," SocArXiv 635hx, Center for Open Science.
    20. Kline, Nolan, 2022. "Syndemic statuses: Intersectionality and mobilizing for LGBTQ+ Latinx health equity after the Pulse shooting," Social Science & Medicine, Elsevier, vol. 295(C).
    21. Gustafsson, Jasmine & Konttinen, Hanna & Lyyra, Nelli & Simonsen, Nina & Eriksson, Charli & Fismen, Anne-Siri & Thorsteinsson, Einar & Jasinskaja-Lahti, Inga, 2026. "Multiple social positions and well-being among Nordic adolescents: An intersectional MAIHDA analysis of the interplay between gender, age, immigrant background, family structure, and perceived socioeconomic status," Social Science & Medicine, Elsevier, vol. 389(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:384:y:2025:i:c:s0277953625009189. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.