Cited by 579Health disparities and outcomesStress Responses and CortisolPublic Health and Social Inequalities

The DOI matches its Crossref record; 221 of the 221 references it cites were found in a registry or an index; 1 of the 81 sources its claims cite were checked for support.

Socio‐economic differentials in peripheral biology: Cumulative allostatic load

Open access
Seeman, Teresa, Epel, Elissa, Gruenewald, Tara, Karlamangla, Arun, McEwen, Bruce S.·2010·Annals of the New York Academy of Sciences

Abstract

This chapter focuses on evidence linking socio‐economic status (SES) to “downstream” peripheral biology. Drawing on the concept of allostatic load, we examine evidence linking lower SES with greater cumulative physiological toll on multiple major biological regulatory systems over the life course. We begin by reviewing evidence linking lower SES to poorer trajectories of aging in multiple, individual physiological systems, followed by evidence of the resulting cumulative, overall burdens of physiological dysregulation seen among those of lower SES. The role of cumulative physiological dysregulation in mediating SES gradients in morbidity and mortality is then examined. We conclude with discussion of the question of interactions between SES (and other such environmental factors) and genetic endowment, and their potential consequences for patterns of physiological activity—an area of research that appears poised to contribute significantly to our understanding of how social conditions “get under the skin” to affect health and aging.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This chapter reviews evidence that lower socioeconomic status (SES) is linked to greater cumulative physiological dysregulation across major regulatory systems, conceptualized as allostatic load (AL). It argues that cumulative multisystem AL helps explain SES gradients in morbidity and mortality and may serve as an intermediate outcome for evaluating policies to reduce health disparities.

Key findings

  • Lower SES is associated with higher AL across the life course; SES gradients in AL emerge as early as the first 5 years of life and persist through childhood, adulthood, and older age.
  • In the MacArthur Study of Successful Aging, the total AL index mediated about 35% of the education gradient in mortality, whereas none of its component items or subscales accounted for anything close to this, with most accounting for under 15%.
  • The original simple count AL index showed correlations with decline in cognitive and physical function of 0.12 and 0.30, respectively, compared with 0.17 and 0.39 for a canonical AL index (Karlamangla and Seeman, unpublished data).
  • NHANES data show SES gradients in AL by education and age; higher SES older adults exhibit AL levels similar to those of lower SES middle-aged adults.

Methods

  • Narrative review/chapter synthesizing evidence linking SES to peripheral biology and allostatic load, including conceptual background and empirical literature.
  • Draws on cohorts and surveys including the MacArthur Study of Successful Aging (70–79-year-olds), NHANES III (1988–1994), CARDIA, and Whitehall II.
  • The initial AL operationalization used 10 biological parameters across HPA, SNS, cardiovascular, and metabolic systems, counting parameters in the top quartile (bottom quartile for HDL cholesterol and DHEA-S); later work added inflammatory markers CRP and IL-6. Main analyses reviewed associations of AL with mortality, cardiovascular disease, cognitive and physical decline, and mediation of SES gradients.

Limitations

  • The paper states that AL is multifaceted and difficult to operationalize, with no accepted “gold standard”; debate continues about which systems and aspects to measure and how to summarize them into cumulative indices.
  • The paper states that comparative data on scoring methods remain sparse, and more work is needed before “best practice” guidelines can be offered for AL scoring.
  • The paper states that the literature on whether AL mediates SES differentials in health outcomes is small, and additional work is needed to clarify how SES contributes to AL accumulation. Evident from the text: this is a narrative review rather than a systematic review or meta-analysis, and it presents no new primary data collection.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1111/j.1749-6632.2009.05341.x

Cites

221 of 221 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

43 Not checked yet · 16 Own interpretation · 6 No basis given · 4 Own result · 1 Partly supported · accuracy not yet measured

Verify all 80 references — free account

Show all 38 claims

  • It may state two separate claims as one. 23
  • The quote only partly states this claim. 1
  • Probably not a substantial claim. 13
32 of 32
  • The authors state this as an assumption.

    Excessive fluctuations in physiologic activity in extent, duration, or frequency can result in wear and tear on the body's regulatory systems.

    “The premise is that while relatively short-term fluctuations in levels of physiologic activity are necessary for the body to respond successfully to stimuli (e.g., the fight or flight response in the face of various types of danger), excessive fluctuations either in terms of the extent, duration or frequency (e.g., responding to perceived”
  • The authors state this as an assumption.

    Allostatic load develops over the life course, with individuals accumulating allostatic load at different rates.

    “As a cumulative phenomenon, allostatic load is postulated to develop over the life course, with individuals accumulating AL at different rates.”
  • The authors state this as an assumption.

    The initiation and progression of allostatic load dysregulation is driven by individual differences in the frequency of exposure to real and perceived challenges and differences in patterns of physiological responses to these challenges.

    “Both the initiation and progression of such dysregulation is postulated to be driven by individual differences in the frequency of exposure to real and perceived challenges and differences in their patterns of physiological responses to these challenges.”
  • The authors state this as an assumption.

    Population differences in allostatic load develop over time as a result of individual differences in exposure to different situations and stimuli and individual differences in cognitive/emotional reactions to these stimuli.

    “Over time, as a result of individual differences in exposure to different situations and stimuli, and individual differences in cognitive/emotional reactions to these stimuli, population differences in allostatic load are postulated to develop.”
  • The paper relies on this without support.

    Older individuals generally have more cumulative allostatic load; within any given age group, there is a range of allostatic loads reflecting differences in prior exposures and reactions to life-time experiences.

    “Older individuals will generally have more cumulative load; but within any given age group, there will be a range of allostatic loads that reflect differences in prior exposures and reactions to one's life-time experiences.”
  • The authors state this as an assumption.

    Relatively modest dysregulation when cumulated across multiple systems may have significant impacts on health risks, even if none of the individual effects would be deemed statistically or clinically significant.

    “This view of biological risk proposes that relatively modest dysregulation (e.g., somewhat elevated BP and/or more frequent or prolonged elevations in response to stimuli) when cumulated across multiple systems may have significant impacts on health risks, even if none of the individual effects would be deemed either statistically or clinically”
  • The paper relies on this without support.

    Peripheral biological parameters have shorter time horizons than downstream disease outcomes in terms of responsiveness to changing conditions.

    “Because such parameters are known risk factors for major disease outcomes but have shorter time horizons than do more downstream disease outcomes in terms of their responsiveness to changing conditions”
  • The paper relies on this without support.

    Peripheral biological parameters are known risk factors for major disease outcomes.

    “such parameters are known risk factors for major disease outcomes”
8 of 8

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 219 references

Research works printed but not linked: 4

  1. Seeman T., 2007, Social determinants of health inequalities: drivers of cumulative risks and biological consequences
  2. Bernard C., 1878, Les Phenomenes de la vie
  3. Epel E., 2007, Handbook of health psychology of aging, 119
  4. Seeman T., In press. Modeling multi‐system biological risk in young adults: coronary artery risk development in young adults study (CARDIA), Am. J. Hum. Biol.

Cited by

Sorted by citations

Items 301–400 of 577

Metadata

Authors
Seeman, T., Epel, E., Gruenewald, T., Karlamangla, A., & McEwen, B. S.
Affiliations
  • University of California, Los Angeles (US)
  • University of California, San Francisco (US)
  • Rockefeller University (US)
Corresponding author
Seeman, Teresa
Venue
Annals of the New York Academy of Sciences
Publisher
Wiley
Published
2010-02
Volume
1186
Issue
1
Pages
223-239
ISSN
  • 0077-8923 (ISSN-L)
  • 1749-6632
OpenAlex
W1619226291
Cited by
579
References
219
Citations by year
2026: 17 · 2025: 15 · 2024: 24 · 2023: 32 · 2022: 33 · 2021: 44 · 2020: 38 · 2019: 56 · 2018: 50 · 2017: 39 · 2016: 39 · 2015: 34 · 2014: 46 · 2013: 33 · 2012: 40
FWCI
7.04
Type
journal article
Language
en
Open access
Locations
  • Annals of the New York Academy of Sciences (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Health › Health disparities and outcomes
  • Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
  • Social Sciences › Health › Public Health and Social Inequalities
Keywords
socioeconomic status, allostatic load, physiological dysregulation, aging trajectories, life course, health disparities, morbidity and mortality, gene-environment interaction
MeSH terms
Adaptation, Physiological, Health Status, Humans, Social Class, Social Environment, Socioeconomic Factors, Allostasis

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.

A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

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 ›

Are you an author, or do you see a problem with this page? Request a review