How Are Biomarkers Related to Physical and Mental Well-Being?
Author(s) -
Christopher L. Seplaki,
Noreen Goldman,
Maxine Weinstein,
YuHsuan Lin
Publication year - 2004
Publication title -
the journals of gerontology series a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.134
H-Index - 189
eISSN - 1758-535X
pISSN - 1079-5006
DOI - 10.1093/gerona/59.3.b201
Subject(s) - multinomial logistic regression , mental health , psychology , sample (material) , population , clinical psychology , gerontology , medicine , psychiatry , environmental health , computer science , chemistry , chromatography , machine learning
We investigate how biological markers of individual responses to stressful experiences are associated with profiles of physical and mental functioning in a national sample of middle-aged and elderly Taiwanese. Data come from a population-based sample of middle-aged and elderly Taiwanese in 2000. The data combine rich biological measures with self-reported information on physical and mental health. Grade of membership methods are used to summarize functional status, and multinomial logit models provide information on the association between biological measures and function. The analysis identifies significant associations between biomarkers of stressful experience and profiles of physical and mental functioning. The estimates reveal the potential importance for health of both low and high values of biological parameters. The findings point to directions for future research regarding development of aggregate measures of cumulative dysregulation across multiple physiological systems.
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