Evidence map›Paper›PMID 27085072›Full record

ArticleSocial science & medicine (1982)2016

Why are well-educated Muscovites more likely to survive? Understanding the biological pathways.

Megan A Todd, Vladimir M Shkolnikov, Noreen Goldman

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  5. Observational
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 at 2 institutions in 3 countries.

Megan A ToddOffice of Population Research and the Woodrow Wilson School of Public and International Affairs, Princeton University, USA. Electronic address: mt3101@columbia.edu.
Vladimir M ShkolnikovMax Planck Institute for Demographic Research, Konrad-Zuse-Str., 1, Rostock, 18057, Germany; New Economic School, ul. Novaya, 100A, Moscow, 143026, Skolkovo, Russia. Electronic address: shkolnikov@demogr.mpg.de.
Noreen GoldmanOffice of Population Research and the Woodrow Wilson School of Public and International Affairs, Princeton University, Wallace Hall, Princeton, NJ, 08544, USA. Electronic address: ngoldman@princeton.edu.
Woodrow Wilson International Center for Scholars · USMax Planck Institute for Demographic Research · DE

Funding

Infrastructure for Population Research at PrincetonR24HD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2004 to 2013
$7.3M
Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI SALGANIK, MATTHEW J. · 2014 to 2018
$2.0M
Biodemography of Disease and Death in MoscowR01AG026786 · NIA · DUKE UNIVERSITY · PI VAUPEL, JAMES W. · 2006 to 2010
$1.9M
NIA NIH HHS R01 AG026786NICHD NIH HHS P2C HD047879NICHD NIH HHS R24 HD047879
6 · The paper itself

Abstract

There are large socioeconomic disparities in adult mortality in Russia, although the biological mechanisms are not well understood. With data from the study of Stress, Aging, and Health in Russia (SAHR), we use Gompertz hazard models to assess the relationship between educational attainment and mortality among older adults in Moscow and to evaluate biomarkers associated with inflammation, neuroendocrine function, heart rate variability, and clinical cardiovascular and metabolic risk as potential mediators of that relationship. We do this by assessing the extent to which the addition of biomarker variables into hazard models of mortality attenuates the association between educational attainment and mortality. We find that an additional year of education is associated with about 5% lower risk of age-specific all-cause and cardiovascular mortality. Inflammation biomarkers are best able to account for this relationship, explaining 25% of the education-all-cause mortality association, and 35% of the education-cardiovascular mortality association. Clinical markers perform next best, accounting for 13% and 23% of the relationship between education and all-cause and cardiovascular mortality, respectively. Although heart rate biomarkers are strongly associated with subsequent mortality, they explain very little of the education-mortality link. Neuroendocrine biomarkers fail to account for any portion of the link. These findings suggest that inflammation may be important for understanding mortality disparities by socioeconomic status.

Indexed as

Educational StatusAgedAged, 80 and overAgingBiomarkersCardiovascular DiseasesFemaleHeart RateHumansInflammationMaleMiddle AgedMortalityMoscowNeurosecretory SystemsSocial ClassBiomarkersAgingBiomarkersEducationInflammationMortalityRussiaSocioeconomic status

Identifiers

PMID27085072
PMCPMC5282593
OpenAlexW2290071329

What OpenQuestion holds

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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.