Psychosocial Clusters and their Associations with Well-Being and Health: An Empirical Strategy for Identifying Psychosocial Predictors Most Relevant to Racially/Ethnically Diverse Women's Health | Zendy

Jennifer M. Jabson | Zendy; Deborah J. Bowen | Zendy; Janice Weinberg | Zendy; Candyce H. Kroenke | Zendy; Juhua Luo | Zendy; Catherine R. Messina | Zendy; Sally A. Shumaker | Zendy; Hilary A. Tindle | Zendy

Open Access

Psychosocial Clusters and their Associations with Well-Being and Health: An Empirical Strategy for Identifying Psychosocial Predictors Most Relevant to Racially/Ethnically Diverse Women's Health

Author(s) -

Jennifer M. Jabson,

Deborah J. Bowen,

Janice Weinberg,

Candyce H. Kroenke,

Juhua Luo,

Catherine R. Messina,

Sally A. Shumaker,

Hilary A. Tindle

Publication year - 2016

Publication title -

clinical medicine insights women s health

Language(s) - English

Resource type - Journals

ISSN - 1179-562X

DOI - 10.4137/cmwh.s34692

Subject(s) - psychosocial , ethnic group , cluster (spacecraft) , health equity , clinical psychology , psychology , social support , multilevel model , race and health , social determinants of health , gerontology , medicine , public health , psychiatry , social psychology , nursing , machine learning , sociology , anthropology , computer science , programming language

Strategies for identifying the most relevant psychosocial predictors in studies of racial/ethnic minority women's health are limited because they largely exclude cultural influences and they assume that psychosocial predictors are independent. This paper proposes and tests an empirical solution.

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