Evidence map›Paper›PMID 23228966›Full record

ArticleSocial science & medicine (1982)2013

To what extent do biomarkers account for the large social disparities in health in Moscow?

Dana A Glei, Noreen Goldman, Vladimir M Shkolnikov, Dmitri Jdanov, Svetlana Shalnova, Maria Shkolnikova, Maxine Weinstein

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 23% of its field
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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Infant Mortality in Moscow: the Perils of Progress in Russia's World City.Journal of urban health : bulletin of the New York Academy of Medicine · 2019
    Article
  7. Inflammation in multimorbidity and disability: An integrative review.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

7 authors at 6 institutions in 3 countries.

Dana A GleiCenter for Population and Health, Georgetown University, 312 Healy Hall, 37th and O Streets, NW, Washington, DC 20057-1197, USA. dag77@georgetown.edu
Noreen Goldman
Vladimir M Shkolnikov
Dmitri Jdanov
Svetlana Shalnova
Maria Shkolnikova
Maxine Weinstein
Georgetown University · USMax Planck Institute for Demographic Research · DENational Research Center for Preventive Medicine · RUNew Economic School · RUPrinceton University · USRussian Research Center for Molecular Diagnostics and Therapy · RU

Funding

STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI ZENG, YI · 2009 to 2020
$10.2M
BIODEMOGRAPHY OF HEALTH, SOCIAL FACTORS &LIFE CHALLENGER01AG016661 · NIA · RAND CORPORATION · PI WEINSTEIN, MAXINE A · 1999 to 2013
$9.5M
Infrastructure for Population Research at PrincetonR24HD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2004 to 2013
$7.3M
BIODEMOGRAPHY OF HEALTH, SOCIAL FACTORS AND LIFE CHANGER01AG016790 · NIA · PRINCETON UNIVERSITY · PI GOLDMAN, NOREEN · 1999 to 2014
$5.6M
Biodemography of Disease and Death in MoscowR01AG026786 · NIA · DUKE UNIVERSITY · PI VAUPEL, JAMES W. · 2006 to 2010
$1.9M
NIA NIH HHS P01 AG020166NIA NIH HHS P01-AG020166NIA NIH HHS R01 AG016661NIA NIH HHS R01 AG016790NIA NIH HHS R01 AG026786NIA NIH HHS R01AG026786NIA NIH HHS R01AG16661NIA NIH HHS R01AG16790NICHD NIH HHS R24 HD047879NICHD NIH HHS R24HD047879
6 · The paper itself

Abstract

The Russian population continues to face political and economic challenges, has experienced poor general health and high mortality for decades, and has exhibited widening health disparities. The physiological factors underlying links between health and socioeconomic position in the Russian population are therefore an important topic to investigate. We used data from a population-based survey of Moscow residents aged 55 and older (n = 1495), fielded between December 2006 and June 2009, to address two questions. First, are social disparities evident across different clusters of biomarkers? Second, does biological risk mediate the link between socioeconomic status and health? Health outcomes included subscales for general health, physical function, and bodily pain. Socioeconomic status was represented by education and an index of material resources. Biological risk was measured by 20 biomarkers including cardiovascular, inflammatory, and neuroendocrine markers as well as heart rate parameters from 24-h ECG monitoring. For both sexes, the age-adjusted educational disparity in standard cardiovascular risk factors was substantial (men: standardized β = -0.16, 95% CI = -0.23 to -0.09; women: β = -0.25, CI = -0.32 to -0.18). Education differences in inflammation were also evident in both men (β = -0.17, CI = -0.25 to -0.09) and women (β = -0.09, CI = -0.17 to -0.01). Heart rate parameters differed by education only in men (β = -0.10, CI = -0.18 to -0.02). The associations between material resources and biological risk scores were generally weaker than those for education. Social disparities in neuroendocrine markers were negligible for men and women. In terms of mediating effects, biological risk accounted for more of the education gap in general health and physical function (19-36%) than in bodily pain (12-18%). Inclusion of inflammatory markers and heart rate parameters-which were important predictors of health outcomes-may explain how we accounted for more of the social disparities than previous studies.

Indexed as

BiomarkersHealth Status DisparitiesSocial ClassAgedAged, 80 and overCardiovascular DiseasesFemaleHealth SurveysHeart RateHumansInflammationMaleMiddle AgedMoscowNeurosecretory SystemsRisk FactorsBiomarkers

Identifiers

PMID23228966
PMCPMC3544298
OpenAlexW1998195809

What OpenQuestion holds

Textmetadata
LicenceTDM
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.