Evidence map›Paper›PMID 34118689›Full record

ArticleSocial science & medicine (1982)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 Study cohorts.

Ariel L Beccia, Jonggyu Baek, S Bryn Austin, William M Jesdale, Kate L Lapane

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ariel L BecciaClinical and Population Health Research Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, 55 Lake Ave North, Worcester, MA, 01655, USA; Department of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Ave North, Worcester, MA, 01655, USA. Electronic address: ariel.beccia@umassmed.edu.
Jonggyu BaekDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Ave North, Worcester, MA, 01655, USA. Electronic address: jonggyu.baek@umassmed.edu.
S Bryn AustinDivision of Adolescent Adult Medicine, Boston Children's Hospital, 333 Longwood Avenue, Boston, MA, 02115, USA; Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA. Electronic address: bryn.austin@childrens.harvard.edu.
William M JesdaleDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Ave North, Worcester, MA, 01655, USA. Electronic address: william.jesdale@umassmed.edu.
Kate L LapaneDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Ave North, Worcester, MA, 01655, USA. Electronic address: kate.lapane@umassmed.edu.

Funding

Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
Transdisciplinary Training In Cardiovascular ResearchT32HL120823 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DONAHUE, J KEVIN, KIEFE, CATARINA I. · 2014 to 2025
$3.9M
Intersectionality of Sexual Orientation, Gender Expression, and Weight Status on Risk of Disordered Eating BehaviorsF31MD015203 · NIMHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BECCIA, ARIEL L · 2020 to 2021
$59k
NHLBI NIH HHS T32 HL120823NHLBI NIH HHS U01 HL145386NIMHD NIH HHS F31 MD015203
6 · The paper itself

Abstract

The objective of this study was to investigate how gender identity, the overwhelmingly prioritized dimension of social identity/position in eating-related pathology research, intersects with gender expression, sexual orientation, and weight status to structure the social patterning of eating disorders and disordered eating behaviors among young people in the U.S. Data were drawn from the 2010/2011 Growing Up Today Study (GUTS; N = 11,090-13,307). We conducted an intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) by nesting participants within social strata defined by intersecting gender identity, gender expression, sexual orientation, and weight status categories in a series of multilevel logistic models for four outcomes (past-year purging, overeating, and binge eating; lifetime eating disorder diagnosis). To illustrate the advantages of intersectional MAIHDA, we compared the results to those from unitary and conventional intersectional analyses. The intersectional MAIHDA revealed a complex social patterning of eating-related pathology characterized by heterogeneity and outcome-specificity. Several multiply marginalized strata (e.g., those including gender nonconforming, sexual minority, and/or larger-bodied girls/women) had disproportionately elevated prevalence, although all estimates were driven by additive effects. Notably, these patterns were obscured within the unitary and conventional intersectional analyses. Future epidemiologic research on eating-related pathology should continue to adopt an intersectional approach through the use of appropriate methodologies.

Indexed as

Feeding and Eating DisordersGender IdentityAdolescentFemaleHumansMaleMultilevel AnalysisSexual BehaviorSocioeconomic FactorsEating disordersEpidemiologyGenderIntersectionalityMAIHDASexual orientationUSAWeight status

Identifiers

PMID34118689
PMCPMC8372301

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.