ArticleSSM - population health2022
Quantitative methods for descriptive intersectional analysis with binary health outcomes.
Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gender and other intersecting factors in antimicrobial resistance for infectious diseases of poverty: a systematic evidence gap analysis in low- and lower-middle-income countries.BMC public health · 2026Pooled it
- Social Intersectional Differences in Pulpal Clinical Consequences of Untreated Dental Caries among Brazilian Adolescents: Analysis of the SB Brasil 2023 Survey.Caries research · 2026Article
- From Averages to Heterogeneity: A Plain-Language Guide to MAIHDA in Epidemiology.International journal of social determinants of health and health services · 2026Review
- A Multilevel Analysis of HIV Care Outcomes Across Age, Race, and Housing Among United States Women Veterans.Healthcare (Basel, Switzerland) · 2026Article
- Social determinants of intersectional inequalities in multimorbidity and its burden in China: a multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA).International journal for equity in health · 2026Article
- Additive and Multiplicative Effects of Socially Stigmatized Identities Using Linear Regression to Model Effects on Self-Reported Overall Health as Reported in the All of Us Research Program: Quantitative Analysis.JMIR formative research · 2026Article
- Intersectional inequality in general and central obesity: cross-sectional UK Biobank study.International journal of obesity (2005) · 2026Article
- What Matters in Help-Seeking and Disclosure Intent of Intimate Partner Violence During the COVID-19 Pandemic: Similarities and Differences Across Demographic Groups.International journal of environmental research and public health · 2026Article
- Role of Ethnicity and Sex in Hypertension-Mediated Organ Damage in a Dual-Ethnic Cohort of Individuals With Hypertension.Hypertension (Dallas, Tex. : 1979) · 2026Article
- Exploring Intersectionality Among Latinos Living with HIV: A CHAID Analysis of Health Outcomes and Care Engagement.Journal of racial and ethnic health disparities · 2026Article
- Intersectional inequalities in COVID-19 morbidity and mortality in Sweden: a retrospective population-based cohort study.BMJ public health · 2026Article
- Campus climate and intersectional inequities in eating disorders among U.S. college students: A multilevel analysis of individual heterogeneity and discriminatory accuracy.Annals of epidemiology · 2025Article
- Inequities in eating disorder diagnoses in college students: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA).Social science & medicine (1982) · 2025Article
- Intersectional inequities in suicide ideation by race, sexual orientation, and gender among US high school students in the pre- and post-2020 waves of the YRBSS: an application of random effects intersectional MAIHDA.American journal of epidemiology · 2025Article
- Sociodemographic characteristics of maternal presence in neonatal intensive care: an intersectional analysis.Journal of perinatology : official journal of the California Perinatal Association · 2025Article
- Social disadvantage and technology use among adults with type 1 diabetes in Quebec: A cross-sectional study using data from the Canadian T1D (BETTER) Registry.Diabetes, obesity & metabolism · 2025Article
- What can we learn from an intersectionality-informed description of study participants? Results from the German National Cohort.International journal for equity in health · 2025Article
- Study assessing the effectiveness of overdose prevention centers through research (SAFER): an overview of the study protocol.Harm reduction journal · 2025Article
- Variations in documentation of alcohol use disorder (AUD) diagnoses across race, ethnicity, and sex in a health system that assesses AUD symptoms as part of routine primary care.Journal of substance use and addiction treatment · 2025Article
- An Investigation into Disability Status and Mental Health Indicators among Sexual and Gender Diverse Youth.Psychology of sexual orientation and gender diversity · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intersectionality recognizes that in the context of sociohistorically shaped structural power relations, an individual's multiple social positions or identities (e.g., gender, ethnicity) can interact to affect health-related outcomes. Despite limited methodological guidance, intersectionality frameworks have increasingly been incorporated into epidemiological studies, both to describe health disparities and to examine their causes. This study aimed to advance methods in intersectional estimation of binary outcomes in descriptive health disparities research through evaluation of 7 potentially intersectional data analysis methods: cross-classification, regression with interactions, multilevel analysis of individual heterogeneity (MAIHDA), and decision trees (CART, CTree, CHAID, random forest). Accuracy of estimated intersection-specific outcome prevalence was evaluated across 192 intersections using simulated data scenarios. For comparison we included a non-intersectional main effects regression. We additionally assessed variable selection performance amongst decision trees. Example analyses using National Health and Nutrition Examination Study data illustrated differences in results between methods. At larger sample sizes, all methods except for CART performed better than non-intersectional main effects regression. In smaller samples, MAIHDA was the most accurate method but showed no advantage over main effects regression, while random forest, cross-classification, and saturated regression were the least accurate, and CTree and CHAID performed moderately well. CART performed poorly for estimation and variable selection. Sensitivity analyses examining the bias-variance tradeoff suggest MAIHDA as the preferred unbiased method for accurate estimation of high-dimensional intersections at smaller sample sizes. Larger sample sizes are more imperative for other methods. Results support the adoption of an intersectional approach to descriptive epidemiology.
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