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How Are Biomarkers Related to Physical and Mental Well-Being?
Abstract
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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“A beneficial modification in some settings may be the use of two-tailed highest risk cut-points instead of one-tailed for some or all biomarkers”
From Allostatic load and biological anthropology (2017) · cites this paper as Seplaki et al., 2004
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“Subsequent work has shown that these associations are repli-cated when a variety of alternative scoring methods that incorporate more complex and detailed scoring algorithms are used to create indices of AL, including canonical correlation analyses, 169 grade-ofmembership 166,167,182 and recursive partitioning.168”
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Metadata
- Authors
- Seplaki, C. L., Goldman, N., Weinstein, M., & Lin, Y.-H.
- Affiliations
- Princeton University (US)
- Corresponding author
- Seplaki, C. L.
- Venue
- The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-03-01
- Volume
- 59
- Issue
- 3
- Pages
- B201-B217
- ISSN
- 1079-5006 (ISSN-L)
- 1758-535X
- OpenAlex
- W2140866955
- Cited by
- 104
- References
- 64
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 3 · 2021: 6 · 2020: 3 · 2019: 9 · 2018: 6 · 2017: 5 · 2016: 4 · 2015: 5 · 2014: 4 · 2013: 3 · 2012: 6
- FWCI
- 6.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journals of Gerontology Series A (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Georgetown University
- National Institute on Aging (R01 AG16790, R01-AG16661, R01AG016790, R01AG016661)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (5P30-HD32030, P30HD032030)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Health Professions › General Health Professions › Health, psychology, and well-being
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Keywords
- biomarkers, stress response, physical function, mental health, middle-aged and older adults, membership degree, physiological dysregulation, Taiwanese population
- MeSH terms
- Aged, Female, Health Status, Humans, Male, Mental Health, Middle Aged, Taiwan, Biomarkers, Logistic Models
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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