Evidence map›Paper›PMID 33536038›Full record

ArticleInternational journal for equity in health2021

An intersectional analysis providing more precise information on inequities in self-rated health.

Maria Wemrell, Nadja Karlsson, Raquel Perez Vicente, Juan Merlo

Abstract read
In one paragraph

Article in International journal for equity in health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

40 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.

Maria WemrellUnit for Social Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Street 35, 205 02, Malmö, Sweden. maria.wemrell@med.lu.se.ORCID 0000-0002-3186-9054
Nadja KarlssonUnit for Social Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Street 35, 205 02, Malmö, Sweden.
Raquel Perez VicenteUnit for Social Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Street 35, 205 02, Malmö, Sweden.
Juan MerloUnit for Social Epidemiology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Street 35, 205 02, Malmö, Sweden.ORCID 0000-0001-8379-9708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntersectionality theory combined with an analysis of individual heterogeneity and discriminatory accuracy (AIHDA) can facilitate our understanding of health disparities. This enables the application of proportionate universalism for resource allocation in public health. Analyzing self-rated health (SRH) in Sweden, we show how an intersectional perspective allows for a detailed mapping of health inequalities while avoiding simplification and stigmatization based on indiscriminate interpretations of differences between group averages.

methodsWe analyzed participants (n=133,244) in 14 consecutive National Public Health Surveys conducted in Sweden in 2004-2016 and 2018. Applying AIHDA, we investigated the risk of bad SRH across 12 intersectional strata defined by gender, income and migration status, adjusted by age and survey year. We calculated odds ratios (with 95% confidence intervals) to evaluate between-strata differences, using native-born men with high income as the comparison reference. We calculated the area under the receiver operating characteristic curve (AU-ROC) to evaluate the discriminatory accuracy of the intersectional strata for identifying individuals according to their SRH status.

resultsThe analysis of intersectional strata showed clear average differences in the risk of bad SRH. For instance, the risk was seven times higher for immigrated women with low income (OR 7.00 [95% CI 6.14-7.97]) than for native men with high income. However, the discriminatory accuracy of the intersectional strata was small (AU-ROC=0.67).

conclusionsThe intersectional AIHDA approach provides more precise information on the existence (or the absence) of health inequalities, and can guide public health interventions according to the principle of proportionate universalism. The low discriminatory accuracy of the intersectional strata found in this study warrants universal interventions rather than interventions exclusively focused on strata with a higher average risk of bad SRH.

Indexed as

Health Status DisparitiesIncomeIntersectoral CollaborationSocial Determinants of HealthEmigration and ImmigrationFemaleGender IdentityHealth StatusHumansMalePublic HealthSocioeconomic FactorsSwedenHealth inequitiesIntersectionalitySocial determinants of healthSweden

Identifiers

PMID33536038
PMCPMC7856780

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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.