Evidence map›Paper›PMID 29294096›Full record

ArticleJournal of public health (Oxford, England)2018

Health inequalities in old age: the relative contribution of material, behavioral and psychosocial factors in a German sample.

A L Schmitz, T-K Pförtner

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. [Socioeconomic inequalities in health in later life].Zeitschrift fur Gerontologie und Geriatrie · 2019
    Review
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

2 authors.

A L SchmitzThe Institute for Social Research and Social Policy, Cologne, Germany.
T-K PförtnerFaculty of Human Sciences and Faculty of Medicine, The Institute of Medical Sociology Health Services Research, and Rehabilitation Science, University of Cologne, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Whereas the association between education and health in later life is well described, investigations about the underlying mechanisms of these health inequalities are scarce. This study examines the relative contribution of material, behavioral and psychosocial factors to health inequalities in older Germans. Methods: Data were drawn from the fifth wave of the Survey of Health, Ageing and Retirement in Europe (SHARE). The analytic sample included 3246 participants aged 60-85 years. We examined the independent and indirect contribution of material, behavioral and psychosocial factors to the association between education and self-rated health based on logistic regression models. Results: Material factors were most important as they were additionally working through behavioral and psychosocial factors whereas the independent contribution of behavioral and psychosocial factors was much lower than suggested in the separate analyses of the three explanatory pathways. Conclusions: Policy interventions that focus on the improvement of material living conditions might reduce health inequalities in old age. In studies on the underlying mechanisms of health inequalities, material, behavioral and psychosocial factors should be modeled as inter-related predictors as the separate analysis does not reveal their actual contribution so that the relevance of single explanatory pathways might be overestimated.

Indexed as

Health Status DisparitiesAgedAged, 80 and overEducational StatusFemaleGermanyHealth BehaviorHumansMaleMiddle AgedPsychologyRisk FactorsSocial Determinants of HealthSocioeconomic Factors

Identifiers

PMID29294096
PMCPMC6166580

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Registered trials

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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.