Ontology highlight
ABSTRACT:
Methods: We conducted latent class analysis (LCA) using indicators of life stress, socioeconomic background, and physical and mental health from a nationally representative sample of Australian Aboriginal adults (N?=?2056). We used LCA with distal outcomes to estimate the effect of the latent class variable on our derived allostatic load index and conducted a stratified analysis to test whether allostatic load varied based on exposure to racial discrimination across latent classes.
Results: Our psychosocial, environmental, and health measures informed a four-class structure; 'Low risk', 'Challenged but healthy', 'Mental health risk' and 'Multiple challenges'. Mean allostatic load was highest in 'Multiple challenges' compared to all other classes, both in those exposed (4.5; 95% CI: 3.9, 5.0) and not exposed (3.9; 95% CI: 3.7, 4.2) to racial discrimination. Allostatic load was significantly higher for those with exposure to racial discrimination in the 'Multiple challenges' class (t?=?1.74, p?=?.04) and significantly lower in the 'Mental health risk' class (t?=?-?1.67, p?=?.05).
Conclusions: Racial discrimination may not always modify physiological vulnerability to disease. Social and economic contexts must be considered when addressing the impact of racism, with a focus on individuals and sub-populations experiencing co-occurring life challenges.
SUBMITTER: Cave L
PROVIDER: S-EPMC7720631 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Cave Leah L Cooper Matthew N MN Zubrick Stephen R SR Shepherd Carrington C J CCJ
BMC public health 20201207 1
<h4>Background</h4>Increased allostatic load is linked with racial discrimination exposure, providing a mechanism for the biological embedding of racism as a psychosocial stressor. We undertook an examination of how racial discrimination interacts with socioecological, environmental, and health conditions to affect multisystem dysregulation in a First Nations population.<h4>Methods</h4>We conducted latent class analysis (LCA) using indicators of life stress, socioeconomic background, and physica ...[more]