Evidence map›Paper›PMID 29690865›Full record

ArticleHealth and quality of life outcomes2018

Women's health status in urban Ghana: dimensions and differentials using short form 36.

Faustina Frempong-Ainguah, Claire E Bailey, Allan G Hill

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Article in Health and quality of life outcomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers 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

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Faustina Frempong-AinguahRegional Institute for Population Studies, College of Humanities, University of Ghana, P. O. Box LG 96, Legon, Accra, Ghana. ffainguah@rips-ug.edu.gh.
Claire E BaileyDepartment of Social Statistics and Demography, Faculty of Social and Human Sciences, University of Southampton, Highfield, Southampton, UK.
Allan G HillDepartment of Social Statistics and Demography, Faculty of Social and Human Sciences, University of Southampton, Highfield, Southampton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal discourse on population, health and development have placed women's health issues at the top of development agenda. Women's reproductive health has received some attention in Ghana since the mid-1990s. However, studies on women's general health status, dimensions and the differentials in a rapidly growing urban setting is poorly understood and under-researched. This study sought to examine the various pathways in which individual socio-demographic factors, economic characteristics and endowment influence self-assessed health status among women living in the city of Accra, Ghana.

methodsThe paper draws on a cross-sectional study carried out in 2008 and 2009 using a representative sample of urban women 20 years and older (n = 2814). Multivariate stepwise linear regression models were performed to investigate the influence of socio-demographic, economic and health indicators on health-related quality of life, measured by eight sub-scales of the Short Form-36 (SF-36). Interaction effects between some demographic and socio-economic variables were also performed.

resultsThe analyses show diverse relationships between demographic, socio-economic and health indicators and health outcomes assessed using eight SF-36 sub-scales. Education, disease symptoms and age of the respondent were the most significant factors influencing good overall health status. Interestingly, age has no significant effect on mental health after controlling for all other explanatory variables.

conclusionsThe findings show that health issues are multi-faceted requiring socio-cultural, health and economic policy interventions. Investing in women's education is important to improve health status. There is also the need for more effective collaboration across various sectors to improve the health and well-being of women in general. Ageing has increasing relationship with poor physical health status and the elderly should be given needed attention and support.

Indexed as

Health StatusAdultAgedAged, 80 and overCross-Sectional StudiesFemaleGhanaHealth SurveysHumansMiddle AgedQuality of LifeSelf-AssessmentSocial BehaviorSocioeconomic FactorsUrban PopulationWomen's HealthShort Form-36 eight scalesSocio-demographic differentialsWomen’s health

Identifiers

PMID29690865
PMCPMC5926535

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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.