Evidence map›Paper›PMID 38890138›Full record

ArticleBMJ open2024

Educational inequalities and self-reported health among men and women aged 18-49 years in Yangon Region, Myanmar: analysis of a population-based, cross-sectional study.

Sel Ki Baek, Win Thuzar Aye, Aung Soe Htet, Hein Stigum, Unni Gopinathan, Espen Bjertness

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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sel Ki BaekDepartment of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-4553-4941
Win Thuzar AyeDepartment of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-6087-5277
Aung Soe HtetDepartment of Community Medicine, UiT-The Arctic University of Norway, Tromsø, Norway aung.s.htet@uit.no.
Hein StigumDepartment of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.
Unni GopinathanDivision for Health Services, Norwegian Institute of Public Health, Oslo, Norway.
Espen BjertnessDepartment of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the prevalence of good self-reported health (SRH) in subpopulations based on the social determinants of health and to investigate the association between education (measured in years of schooling) and good SRH among men and women aged 18-49 years in Yangon Region, Myanmar.

designAnalysis of data from a population-based, cross-sectional study conducted in Yangon, Myanmar, from October to November 2016. A multistage sampling procedure was employed, and structured face-to-face interviews were conducted with standardised questions adapted from the Myanmar Demographic and Health Survey. Prevalence ratios (PRs) with 95% CIs were estimated using Poisson regression analyses by sex.

settingUrban and rural areas of Yangon Region, Myanmar.

participantsThe sample included 2,506 participants (91.8% response rate) aged 18-49 years and excluded nuns, monks, soldiers, institutionalised people and individuals deemed too ill physically and/or mentally to participate.

resultsThe prevalence of good SRH was 61.2% (95% CI 59.3 to 63.1), with higher rates among men (72.0%, 95% CI 69.3 to 74.5), younger individuals (69.2%, 95% CI 66.2 to 72.1), urban residents (63.6%, 95% CI 60.8 to 66.3), extended family dwellers (66.6%, 95% CI 63.7 to 69.4) and those with a higher level of education (66.0%, 95% CI 61.3 to 70.5). After adjusting for confounders (age and area of residence), the association between years of schooling and SRH (PR) was 1.01 (95% CI 1.01 to 1.02, p=0.002) in men and 1.01 (95% CI 0.99 to 1.02, p=0.415) in women.

conclusionsGood SRH was more prevalent among men than among women. Additionally, a 1-year increase in education was associated with a 1% increase in the prevalence of good SRH among men, whereas the association was not statistically significant among women. In order to enhance the educational benefits of health in Myanmar, we recommend a higher focus on the length of education and addressing gender inequalities in wage return from education.

Indexed as

Educational StatusSelf ReportAdolescentAdultCross-Sectional StudiesFemaleHealth StatusHealth Status DisparitiesHealth SurveysHumansMaleMiddle AgedMyanmarPrevalenceRural PopulationSocial Determinants of HealthHealth EducationHealth EquityHealth policyPUBLIC HEALTH

Identifiers

PMID38890138
PMCPMC11191797

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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.