Evidence map›Paper›PMID 35549496›Full record

ArticleScandinavian journal of public health2022

Alienation: A useful concept for health inequality research.

Emil Øversveen, Conor A Kelly

Abstract read
In one paragraph

Article in Scandinavian journal of public health, 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Relative Deprivation and Health Among Chinese Adults: The Mediating Role of Subjective Well-Being.Inquiry : a journal of medical care organization, provision and financing
    Article
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.

Emil ØversveenDepartment of Sociology and Political Science, NTNU, Trondheim, Norway.ORCID 0000-0002-0126-5313
Conor A KellyNTNU, Trondheim, Norway.ORCID 0000-0002-6127-1782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWhile Marxist class analysis has strongly influenced the development of health inequality research, other aspects of Marx's theory have received less attention. Among the most relevant of Marx's theoretical contributions for social inequalities in health is the theory of alienation. As empirical applications of the theory of alienation are currently scarce, the purpose of this commentary is to invigorate interest in alienation theory within the field of health inequality research by demonstrating its potential to illuminate the relationship between social inequality, psycho-social affects and health outcomes.

resultsAlienation theory describes how the class structure of capitalist societies creates experiences of powerlessness, estrangement and isolation. These experiences are further posited as emerging from the exploitation of labour, thus connecting social inequality to psychological wellbeing. Alienation theory is particularly compatible with psycho-social explanations of health inequalities, which similarly posits that social inequality affects health through psychological mechanisms. We argue that alienation theory contributes in three ways to health inequality research: a) by suggesting potential mechanisms and offering predictions that may be put to use in empirical research, b) by providing a potential explanation of the welfare state paradox, and c) by situating the psycho-social determinants of health within a critical analysis of the sources of social inequality in capitalist society.

conclusions

Indexed as

Health Status DisparitiesSocial WelfareEmpirical ResearchHumansSocioeconomic FactorsalienationHealth inequalityMarxpsycho-social healththeory

Identifiers

PMID35549496
PMCPMC9578084

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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.