Evidence map›Paper›PMID 23217368›Full record

ArticleInternational journal for equity in health2012

Decomposing socioeconomic inequalities in self assessed health in Turkey.

Kaan Sözmen, Hakan Baydur, Hatice Simsek, Belgin Ünal

Abstract read
In one paragraph

Article in International journal for equity in health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

  1. Article
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  3. Estimating Income-Related Health Inequalities Associated with Tobacco and Alcohol Consumption in Namibia.International journal of environmental research and public health · 2023
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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.

Kaan SözmenNarlidere Community Health Center, Ministry of Health of Turkey, Izmir, Narlıdere, Turkey. drmelihkaan@hotmail.com
Hakan Baydur
Hatice Simsek
Belgin Ünal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to measure socioeconomic inequalities in Self Assessed Health (SAH) and evaluate the determinants of such inequalities in terms of their contributions amongst the Turkish population.

methodsWe used data from the Turkish part of World Health Survey 2003 with 10,287 respondents over 18 years old. Concentration index (CI) of SAH was calculated as a measure of socioeconomic inequalities in health, and contributions of each determinant to inequality were evaluated using a decomposition method.

resultsIn total 952 participants (9.3%) rated their health status as either bad or very bad. The CI for SAH was -0.15, suggesting that suboptimal SAH was reported more by those categorised as poor. The multiple logistic regression results indicated that having secondary, primary or less than primary school education, not being married and being in the lowest wealth quintile, significantly increased the risk of having poor SAH. The largest contributions to inequality were attributed to education level (70.7%), household economic status (9.7%) and geographical area lived in (8.4%).

conclusionThe findings indicate that socioeconomic inequalities measured by SAH are apparent amongst the Turkish population. Education and household wealth were the greatest contributing factors to SAH inequality. These inequalities need to be explicitly addressed and vulnerable subgroups should be targeted to reduce the socioeconomic disparities.

Indexed as

Health StatusHealth Status DisparitiesAdolescentAdultAgedEducational StatusFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedSelf-AssessmentSocioeconomic FactorsTurkeyYoung Adult

Identifiers

PMID23217368
PMCPMC3541155

What OpenQuestion holds

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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.