ArticleBMJ public health2024
Exploring the gender difference in type 2 diabetes incidence in a Swiss cohort using latent class analysis: an intersectional approach.
Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Patterns of type 2 diabetes risk factors using latent class analysis (LCA) model: a population-based study in the South of Iran, Kharameh cohort population.BMC public health · 2025Article
- Gender-specific effects of meat consumption on type 2 diabetes: a narrative review of prospective cohort studies.Frontiers in nutrition · 2025Review
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6 authors.
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Abstract
Introduction: Type 2 diabetes is multifactorial and influenced by the intersection of gender-related variables and other determinants of health. The aim of this study was to highlight the intersectional social position of the participants and disentangle its role from administrative sex in predicting the development of type 2 diabetes. Methods: Using CoLaus|PsyCoLaus study, a Swiss single-centre prospective cohort initiated in 2003 and including 6733 participants (age 35-75 years; 54% women) at baseline, we conducted latent class analyses using gender-related variables (eg, risk-taking behaviours, gender roles represented by employment status, etc) and socioeconomic determinants at baseline (2003-2006) to construct intersectional classes and we tested their association with the development of type 2 diabetes at follow-up (2018-2021). Results: Of the 6733 participants enrolled at baseline, 3409 were included in our analyses (50.6%). Over a median follow-up time of 14.5 years, 255 (7.5%) participants developed type 2 diabetes, of which 158 men (62.0%). We identified seven latent classes highlighting different intersectional social position groups (ie, Conclusions: We observe cumulative intersectional effects across behavioural and socioeconomic profiles with different risks of developing type 2 diabetes emphasising the deleterious effect of a feminine gender profile. These patterns are only partly captured by traditional sex-stratified analyses.
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