Evidence map›Paper›PMID 35562797›Full record

ArticleBMC public health2022

Combining education and income into a socioeconomic position score for use in studies of health inequalities.

Marie Hella Lindberg, Gang Chen, Jan Abel Olsen, Birgit Abelsen

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
17.2field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.

  1. Pooled it
  2. The impact of learning about financial compensation on enrollment in Alzheimer's disease longitudinal research.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  10. Socioeconomic inequalities in health-related quality of life during the COVID-19 pandemic: a six-country comparison using the EQ-5D-5 L.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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 at 3 institutions in 2 countries.

Marie Hella LindbergDepartment of Community Medicine, UiT - The Arctic University of Norway, 9037, Tromsø, Norway. marie.h.lindberg@uit.no.
Gang ChenCentre for Health Economics, Monash University, Melbourne, Australia.
Jan Abel OlsenDepartment of Community Medicine, UiT - The Arctic University of Norway, 9037, Tromsø, Norway.
Birgit AbelsenDepartment of Community Medicine, UiT - The Arctic University of Norway, 9037, Tromsø, Norway.
UiT The Arctic University of Norway · NOMonash University · AUNorwegian Institute of Public Health · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn studies of social inequalities in health, there is no consensus on the best measure of socioeconomic position (SEP). Moreover, subjective indicators are increasingly used to measure SEP. The aim of this paper was to develop a composite score for SEP based on weighted combinations of education and income in estimating subjective SEP, and examine how this score performs in predicting inequalities in health-related quality of life (HRQoL).

methodsWe used data from a comprehensive health survey from Northern Norway, conducted in 2015/16 (N = 21,083). A composite SEP score was developed using adjacent-category logistic regression of subjective SEP as a function of four education and four household income levels. Weights were derived based on these indicators' coefficients in explaining variations in respondents' subjective SEP. The composite SEP score was further applied to predict inequalities in HRQoL, measured by the EQ-5D and a visual analogue scale.

resultsEducation seemed to influence SEP the most, while income added weight primarily for the highest income category. The weights demonstrated clear non-linearities, with large jumps from the middle to the higher SEP score levels. Analyses of the composite SEP score indicated a clear social gradient in both HRQoL measures.

conclusionsWe provide new insights into the relative contribution of education and income as sources of SEP, both separately and in combination. Combining education and income into a composite SEP score produces more comprehensive estimates of the social gradient in health. A similar approach can be applied in any cohort study that includes education and income data.

Indexed as

Health Status DisparitiesSocial ClassCohort StudiesHumansIncomeQuality of LifeSocioeconomic FactorsComposite indicatorHealth inequalitiesHealth-related quality of lifeSocioeconomic positionSocioeconomic status

Identifiers

PMID35562797
PMCPMC9107133
OpenAlexW4280557629

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.