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Cited by 151Health disparities and outcomesStress Responses and CortisolHealth, psychology, and well-being

A comparative analysis of measurement approaches for physiological dysregulation in an older population

SEPLAKI, C, GOLDMAN, N, GLEI, D, WEINSTEIN, M·2005·Experimental Gerontology
DOI 10.1016/j.exger.2005.03.002
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Abstract

The theory of allostatic load describes how the cumulative experience of emotional challenges and stressful events over the life course may take a significant physiological toll on multiple interrelated systems of the body. Various summary measures of these effects have been proposed in the literature, but few studies focus on systematically evaluating them. We use data from a population-based sample of older Taiwanese to compare the explanatory power and cross-sectional predictive performance of several measures of allostatic load for diverse health outcomes. We find that choices regarding which biomarkers to include in a summary measure and how the measure is formed have modest effects across the basic prediction models we evaluate. Our findings suggest that count-based summary measures incorporating risk at both high and low tails and measures that preserve the continuous properties of the biological variables are strategies that may yield stronger predictions of a wider array of health outcomes than other measures. These fundamental insights are useful for researchers in search of empirical formulations of allostatic load and for those who are focused on the development of improved measurement strategies.

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  • More complex scoring systems that incorporate greater information are more strongly related to outcomes.

    “Available comparative data suggest that more complex scoring systems that incorporate greater information are, as expected, more strongly related to outcomes.166”

    From Socio‐economic differentials in peripheral biology: Cumulative allostatic load (2010) · cites this paper as [166]

  • Associations between allostatic load and outcomes are replicated when alternative scoring methods, including canonical correlation analyses, grade-of-membership, and recursive partitioning, are used to create allostatic load indices.

    “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”

    From Socio‐economic differentials in peripheral biology: Cumulative allostatic load (2010) · cites this paper as [166]

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Authors
SEPLAKI, C., GOLDMAN, N., GLEI, D., & WEINSTEIN, M.
Affiliations
  • Princeton University (US)
  • Georgetown University (US)
Corresponding author
SEPLAKI, C
ORCID
Venue
Experimental Gerontology
Publisher
Elsevier BV
Published
2005-05
Volume
40
Issue
5
Pages
438-449
ISSN
0531-5565 (ISSN-L)
DOI
10.1016/j.exger.2005.03.002
OpenAlex
W2120883003
Cited by
151
References
51
Citations by year
2026: 3 · 2025: 8 · 2024: 6 · 2023: 8 · 2022: 9 · 2021: 6 · 2020: 15 · 2019: 12 · 2018: 10 · 2017: 7 · 2016: 13 · 2015: 8 · 2014: 10 · 2013: 10 · 2012: 6
FWCI
3.03
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Experimental Gerontology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • 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
  • Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
  • Health Sciences › Health Professions › General Health Professions › Health, psychology, and well-being
Keywords
allostatic load, physiological dysregulation, older adults, summary measures, biomarkers, tail risk, health outcome prediction, measurement strategy, cumulative stress, Taiwanese older adults
MeSH terms
Activities of Daily Living, Aged, Aging, Cognition, Depression, Disability Evaluation, Female, Health Status, Humans, Locomotion, Male, Middle Aged, Models, Biological, Risk Factors, Stress, Psychological, Biomarkers

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