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

Overview of attention for article published in Health and Quality of Life Outcomes, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 2,191)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
5 news outlets
twitter
2 X users
facebook
2 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
82 Mendeley
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Title
Women’s health status in urban Ghana: dimensions and differentials using short form 36
Published in
Health and Quality of Life Outcomes, April 2018
DOI 10.1186/s12955-018-0894-y
Pubmed ID
Authors

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

Abstract

Global 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. The 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. The 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. The 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 11%
Student > Postgraduate 7 9%
Student > Master 7 9%
Student > Bachelor 7 9%
Student > Ph. D. Student 6 7%
Other 13 16%
Unknown 33 40%
Readers by discipline Count As %
Medicine and Dentistry 12 15%
Social Sciences 10 12%
Nursing and Health Professions 6 7%
Psychology 4 5%
Arts and Humanities 4 5%
Other 13 16%
Unknown 33 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2022.
All research outputs
#920,095
of 23,164,913 outputs
Outputs from Health and Quality of Life Outcomes
#32
of 2,191 outputs
Outputs of similar age
#22,293
of 326,707 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#2
of 78 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,191 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,707 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.