Evidence map›Paper›PMID 22918517›Full record

ArticleInternational journal of public health2013

Education and physical health trajectories in old age. Evidence from the Survey of Health, Ageing and Retirement in Europe (SHARE).

Liliya Leopold, Henriette Engelhardt, Henriette Engelhartdt

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Article in International journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

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  5. Quality-of-Life Evaluation among the Oldest-Old in China under the "Active Aging Framework".International journal of environmental research and public health · 2022
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  13. Social Inequalities and Loneliness as Predictors of Ageing Well: A Trend Analysis Using Mixed Models.International journal of environmental research and public health · 2020
    Article
  14. Article
  15. Article
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  18. Review
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4 · The record

Corrections and comments

  • Erratum issued
    Engelhartdt, Henriette [corrected to Engelhardt, Henriette]
5 · Who and what money

Authors and funding

3 authors.

Liliya LeopoldEuropean University Institute, Via dei Rustici 2/11, 50122 Florence, Italy. liliya.leopold@eui.eu
Henriette Engelhardt
Henriette Engelhartdt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe model of cumulative inequality predicts that health differences between educational levels increase with age. Using a variety of analytical approaches and measures of health, studies have, however, reported increasing as well as decreasing and constant patterns of educational health inequality. The aim of this study is use a standardized research design to compare different dimensions of health inequality trajectories across educational levels.

methodsWe used data from two waves (2004/2005 and 2006/2007) of SHARE. The sample consisted of respondents aged 50-80 (n = 14,818). Using OLS regression models, we analyzed trajectories of health inequality in self-reported measures (ADL, IADL, mobility, chronic diseases, and self-rated health) as well as non-invasive objective measures (grip strength) of physical health.

resultsInequality between higher and lower educated individuals increased significantly in limitations of physical functioning and grip strength. In chronic diseases and self-rated health, the gap between these two groups remained constant.

conclusionAlthough our results mainly supported the model of cumulative inequality, they also showed that the trajectory of the education-health gradient is not uniform but varies across different dimensions of physical health.

Indexed as

Educational StatusHealth StatusHealth Status DisparitiesAgedAged, 80 and overAge FactorsChronic DiseaseEuropeFemaleHand StrengthHealth SurveysHumansMaleMiddle AgedMobility Limitation

Identifiers

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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.