Evidence map›Paper›PMID 35779001›Full record

ArticleSociology of health & illness2022

Sick of social status: A Bourdieusian perspective on morbidity and health inequalities.

Mirza Balaj, Terje A Eikemo

Open access · hybridAbstract read
In one paragraph

Article in Sociology of health & illness, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Mirza BalajCentre for Global Health Inequalities Research (CHAIN), Department of Sociology and Political Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID 0000-0002-8612-8464
Terje A EikemoCentre for Global Health Inequalities Research (CHAIN), Department of Sociology and Political Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Norwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-reported health (SRH) is one of the most frequently used measures for examining socioeconomic inequalities in health. Studies find that when faced with 'identical objective health', individuals in lower socioeconomic groups consistently report worse SRH than those in higher socioeconomic groups. Such findings are often dismissed as being the result of reporting bias, and existing literature dominated by the biomedical conception of SRH has not investigated the underlying social mechanisms at work. To address this limitation, drawing on the work of Bourdieu we employ a relational thinking between health and social position. By way of multiple correspondence analysis, we construct social space of health determinants for three European countries from different welfare states and map the trajectories of educational groups experiencing similar levels of morbidity and their relation to SRH. Differences in SRH observed among social groups for the same level of morbidity are understood in relation to the position and the relative power of individuals in different educational groups to maintain or improve their social conditions, especially with increasing levels of health loss. Our analysis indicates that reporting differences in SRH among educational groups emerges from objectively healthy individuals and follows differences in accumulation of social advantages and disadvantages.

Indexed as

Health Status DisparitiesSocial StatusHealth StatusHumansMorbiditySelf ReportSocial ClassSocioeconomic FactorsBourdieucapital theoryhealth inequalitiesmorbiditymultiple correspondence analysisreporting heterogeneitySRH

Identifiers

PMID35779001
PMCPMC9540620
OpenAlexW4283787855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.