Intersecting race/ethnicity and gender in physiological dysregulation profiles and associations with socioeconomic status among older adults in the United States DOI Creative Commons
Xiaoyan Zhang, Danielle M. Krobath,

Penias Tembo

и другие.

SSM - Population Health, Год журнала: 2025, Номер 30, С. 101812 - 101812

Опубликована: Апрель 26, 2025

Allostatic load, a cumulative indicator of physiological wear and tear resulting from chronic stress, is robust predictor disease mortality risk. While prior research has documented racial/ethnic gender variations in allostatic typically assessed by counting biomarkers at extreme levels, few studies have used latent class analysis (LCA) to examine multi-system dysregulation or tested whether these patterns differ across the intersection race/ethnicity gender. This study analyzed data 5743 Black White adults aged 50 older Health Retirement Study address this gap. Based on eight representing metabolic, cardiovascular, inflammatory systems, LCA identified four distinct that varied significantly race The classes included: (1) Healthy Regulation class, all groups but most prevalent among men; (2) Hypertension Dysregulation specifically men women; (3) Metabolic Inflammatory observed both (4) women men. Association analyses revealed higher educational attainment was linked reduced odds metabolic-related except men, underscoring limitations education alone mitigating health risks for group. These findings emphasize value an intersectionality framework understanding how jointly shape highlight need tailored public strategies specific faced different population subgroups.

Язык: Английский

Intersecting race/ethnicity and gender in physiological dysregulation profiles and associations with socioeconomic status among older adults in the United States DOI Creative Commons
Xiaoyan Zhang, Danielle M. Krobath,

Penias Tembo

и другие.

SSM - Population Health, Год журнала: 2025, Номер 30, С. 101812 - 101812

Опубликована: Апрель 26, 2025

Allostatic load, a cumulative indicator of physiological wear and tear resulting from chronic stress, is robust predictor disease mortality risk. While prior research has documented racial/ethnic gender variations in allostatic typically assessed by counting biomarkers at extreme levels, few studies have used latent class analysis (LCA) to examine multi-system dysregulation or tested whether these patterns differ across the intersection race/ethnicity gender. This study analyzed data 5743 Black White adults aged 50 older Health Retirement Study address this gap. Based on eight representing metabolic, cardiovascular, inflammatory systems, LCA identified four distinct that varied significantly race The classes included: (1) Healthy Regulation class, all groups but most prevalent among men; (2) Hypertension Dysregulation specifically men women; (3) Metabolic Inflammatory observed both (4) women men. Association analyses revealed higher educational attainment was linked reduced odds metabolic-related except men, underscoring limitations education alone mitigating health risks for group. These findings emphasize value an intersectionality framework understanding how jointly shape highlight need tailored public strategies specific faced different population subgroups.

Язык: Английский

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