Evidence map›Paper›PMID 28534061›Full record

ArticleInternational journal of public health2017

Educational inequalities in self-rated health across US states and European countries.

Patrick Präg, S V Subramanian

Abstract readComparative Study
In one paragraph

Article in International journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Educated but Unhealthy? Examining Minorities' Diminished Returns.Global journal of epidemiology and infectious disease · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Patrick PrägDepartment of Sociology and Nuffield College, University of Oxford, Oxford, UK. patrick.prag@sociology.ox.ac.uk.
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard Chan School of Public Health, Boston, MA, US.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe US shows a distinct health disadvantage when compared to other high-income nations. A potential lever to reduce this disadvantage is to improve the health situation of lower socioeconomic groups. Our objective is to explore how the considerable within-US variation in health inequalities compares to the health inequalities across other Western countries.

methodsRepresentative survey data from 44 European countries and the US federal states were obtained from the fourth wave of the European Values Study (EVS) and the 2008 wave of the Behavioral Risk Factor Surveillance System. Using binary logistic regression, we analyze different forms of educational inequalities in self-rated health (SRH), adjusted for age and sex.

resultsThe extent of educational inequalities in SRH varies considerably over European countries and US states; with US states in general showing greater inequality, however, differences between US states and European countries are less clear than commonly assumed.

conclusionsThe US has considerable differences in educational inequalities in SRH across geographic locations. To understand the reasons for the US health disadvantage, comparative research has to take into account the vast variation in health inequalities within the US.

Indexed as

Educational StatusHealth Status DisparitiesAdultAgedBehavioral Risk Factor Surveillance SystemEuropeFemaleHumansLogistic ModelsMaleMiddle AgedSurveys and QuestionnairesUnited StatesHealth inequalitiesInternational comparisonSelf-rated healthSpatial inequalities

Identifiers

PMID28534061
PMCPMC5487890

What OpenQuestion holds

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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.