Evidence map›Paper›PMID 15919999›Full record

SynthesisBiological research for nursing2005

Allostatic load: a mechanism of socioeconomic health disparities?

Sarah L Szanton, Jessica M Gill, Jerilyn K Allen

Abstract readSystematic Review
In one paragraph

Synthesis in Biological research for nursing, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Article
  7. Article
  8. How Scientific Is Nursing? Answers From A New Characterization of Science.Nursing philosophy : an international journal for healthcare professionals · 2026
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  19. Observational
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32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sarah L SzantonJohns Hopkins University School of Nursing, Baltimore, MD 21205, USA. sszanton@son.jhmi.edu
Jessica M Gill
Jerilyn K Allen

Funding

Training in Health Disparities of Underserved PopulationT32NR007968 · NINR · JOHNS HOPKINS UNIVERSITY · PI ALLEN, JERILYN K · 2002 to 2011
$2.0M
NINR NIH HHS 1 T32 NR07968-01NINR NIH HHS T32 NR007968
6 · The paper itself

Abstract

Although research on health disparities has been prioritized by the National Institutes of Health, the Institute of Medicine, and Healthy People 2010, little has been published that examines the biology underlying health disparities. Allostatic load is a multisystem construct theorized to quantify stress-induced biological risk. Differences in allostatic load may reflect differences in stress exposure and thus provide a mechanistic link to understanding health disparities. The purpose of this systematic review is to examine the construct of allostatic load and the published studies that employ it in an effort to understand whether the construct can be useful in quantifying health disparities. The published literature demonstrates that allostatic load is elevated in those of low socioeconomic status (SES) as compared to those of high SES. The reviewed articles vary in the justification for inclusion of variables. Recommendations for future research are made in the contexts of measurement, methodology, and racial composition of participants.

Indexed as

Health StatusRacial GroupsSocioeconomic FactorsStress, PsychologicalAdaptation, PhysiologicalAdaptation, PsychologicalCross-Sectional StudiesEducational StatusExerciseForecastingHealth Services Needs and DemandHumansIncomeLife StyleMorbidityMortality

Identifiers

PMID15919999
PMCPMC2874580

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.