Evidence map›Paper›PMID 29854902›Full record

ArticleSSM - population health2018

Social class and infirmity. The role of social class over the life-course.

Carin Lennartsson, Harpa Sif Eyjólfsdóttir, Roger Keller Celeste, Johan Fritzell

Abstract read
In one paragraph

Article in SSM - population health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

4 authors.

Carin LennartssonAging Research Center, Karolinska Institutet & Stockholm University, Gävlegatan 16 SE-11330 Stockholm, Sweden.
Harpa Sif EyjólfsdóttirAging Research Center, Karolinska Institutet & Stockholm University, Gävlegatan 16 SE-11330 Stockholm, Sweden.
Roger Keller CelesteDepartment of Preventive and Social Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Johan FritzellAging Research Center, Karolinska Institutet & Stockholm University, Gävlegatan 16 SE-11330 Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an aging society, it is important to promote the compression of poor health. To do so, we need to know more about how life-course trajectories influence late-life health and health inequalities. In this study, we used a life-course perspective to examine how health and health inequalities in late-midlife and in late-life are influenced by socioeconomic position at different stages of the life course. We used a representative sample of the Swedish population born between 1925 and 1934 derived from the Swedish Level of Living Survey (LNU) and the Swedish Panel Study of Living Conditions of the Oldest Old (SWEOLD) to investigate the impact of socioeconomic position during childhood (social class of origin) and of socioeconomic position in young adulthood (social class of entry) and late-midlife (social class of destination) on infirmity in late-midlife (age 60) and late-life (age 80). The results of structural equation modelling showed that poor social class of origin had no direct effect on late-midlife and late-life infirmity, but the overall indirect effect through chains of risks was significant. Thus, late-midlife and late-life health inequalities are the result of complex pathways through different social and material conditions that are unevenly distributed over the life course. Our findings suggest that policies that break the chain of disadvantage may help reduce health inequalities in late-midlife and in late-life.

Indexed as

Late-life healthLife courseSocioeconomic position

Identifiers

PMID29854902
PMCPMC5976854

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.