ArticleThe Pan African medical journal2021
Distribution of wealth quintiles and risk factors of non-communicable diseases in Ghana: evidence from the Ghana demographic and health survey 2014 using concentration curves model.
Article in The Pan African medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Trends and economic inequalities in obesity prevalence in Ghana: a cross-sectional study spanning 2008-2022.Journal of health, population, and nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionin recent times, the assertion of non-communicable diseases afflicting the rich has been demystified but cuts across the rich and the poor. Individuals in all categories of wealth quintiles are affected by the risk factors of non-communicable diseases such as alcohol consumption, tobacco use, unhealthy dietary practices and physical inactivity. However, information on the distribution of these risk factors across different socio-economic status is scanty. This study assessed the distribution of wealth quintiles and the risk factors of non-communicable diseases, using the concentration curve model.
methodsit was a quantitative study with analytical design using the Ghana Demographic and Health Survey (GDHS), 2014 data. The variables of interest were income status of respondents and risk factors of non-communicable diseases. In the analysis, income levels were categorized into wealth quintiles with assigned percentages (25%, 50%, 75% and 100%) denoting poor, rich, richer and richest respectively. The risk factors of non-communicable diseases were also categorized and assigned percentages (relatively exposed 25%, exposed 50%, more exposed 75% and most exposed 100%). A concentration table was employed to assess the risk factors of non-communicable diseases labelled X-axis and wealth quintiles labelled Y-axis. The cumulative percentage of the wealth quintiles (Y-axis) were plotted against the cumulative percentage of the risk factors of non-communicable diseases on the X-axis.
resultsthe study found moderate concentration of alcohol consumption among the middle to upper wealth quintiles (richest). Again, the study revealed that, wealth quintiles are practically indifferent to tobacco use and that both the rich and poor equally and minimally use tobacco as the concentration curve is very close to the perfect line of equality (45°). This study found near equal distribution of unhealthy dietary practices among the rich and poor in Ghana. It was found that, 40% - 80% of rich people were physically inactive with the application of a physical activity level of 100%. It was noticed that, 40% of the rich people only performed 20% of physical activities.
conclusionthe study concludes that; wealth quintiles have implications for the risk factors of non-communicable diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.