Socioeconomic inequalities in non-communicable disease risk factors in Botswana: a cross-sectional study

Abstract Background The debate on socioeconomic inequalities in health dominates the research and policy agenda of many countries. The prevalence of non-communicable diseases (NCDs) is on the rise in recent years in Botswana. As a prevention and policy effort, the study provided an empirical evidenc...

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Main Authors: Mpho Keetile, Kannan Navaneetham, Gobopamang Letamo, Serai Daniel Rakgoasi
Format: Article
Language:English
Published: BMC 2019-08-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-019-7405-x
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spelling doaj-9ffc639baf184223a6406e7b22431c072020-11-25T04:02:00ZengBMCBMC Public Health1471-24582019-08-011911910.1186/s12889-019-7405-xSocioeconomic inequalities in non-communicable disease risk factors in Botswana: a cross-sectional studyMpho Keetile0Kannan Navaneetham1Gobopamang Letamo2Serai Daniel Rakgoasi3Department of Population Studies, University of BotswanaDepartment of Population Studies, University of BotswanaDepartment of Population Studies, University of BotswanaDepartment of Population Studies, University of BotswanaAbstract Background The debate on socioeconomic inequalities in health dominates the research and policy agenda of many countries. The prevalence of non-communicable diseases (NCDs) is on the rise in recent years in Botswana. As a prevention and policy effort, the study provided an empirical evidence on socioeconomic inequalities in NCD risk factors in Botswana. Methods Data used in this study was derived from a cross sectional survey on chronic non communicable diseases in Botswana conducted in 2016. The survey adopted a multistage sampling design and a sample of 1178 participants (males and females) aged 15 years and above was selected in both urban and rural areas of Botswana. The inequality analysis was conducted employing decomposition analysis using ADePT software version 6. Logistic regression models were used to show the association between NCD risk factors and socioeconomic status using SPSS version 25. Results Concentration indices showed that poor physical activity (CI = 0.0546), alcohol consumption (CI = 0.1859) and overweight/obesity (CI = 0.038) were more concentrated among the non-poor while daily smoking (CI = − 0.0308) and poor fruit/vegetable consumption (CI = − 0.1909) were more concentrated among the poor. Wealth status was observed to be the leading contributor to socioeconomic inequality for daily smoking, poor fruit/vegetable consumption, overweight/obesity and poor physical activity. Education was the leading contributor to socioeconomic inequality for alcohol consumption. Conclusions Findings in this study indicate the need for concerted differential efforts to address the needs of the poor and non-poor in order to reduce NCD risk factor inequalities.http://link.springer.com/article/10.1186/s12889-019-7405-xInequalitiesNCDsRisk factorsBotswanaDecomposition analysis
collection DOAJ
language English
format Article
sources DOAJ
author Mpho Keetile
Kannan Navaneetham
Gobopamang Letamo
Serai Daniel Rakgoasi
spellingShingle Mpho Keetile
Kannan Navaneetham
Gobopamang Letamo
Serai Daniel Rakgoasi
Socioeconomic inequalities in non-communicable disease risk factors in Botswana: a cross-sectional study
BMC Public Health
Inequalities
NCDs
Risk factors
Botswana
Decomposition analysis
author_facet Mpho Keetile
Kannan Navaneetham
Gobopamang Letamo
Serai Daniel Rakgoasi
author_sort Mpho Keetile
title Socioeconomic inequalities in non-communicable disease risk factors in Botswana: a cross-sectional study
title_short Socioeconomic inequalities in non-communicable disease risk factors in Botswana: a cross-sectional study
title_full Socioeconomic inequalities in non-communicable disease risk factors in Botswana: a cross-sectional study
title_fullStr Socioeconomic inequalities in non-communicable disease risk factors in Botswana: a cross-sectional study
title_full_unstemmed Socioeconomic inequalities in non-communicable disease risk factors in Botswana: a cross-sectional study
title_sort socioeconomic inequalities in non-communicable disease risk factors in botswana: a cross-sectional study
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2019-08-01
description Abstract Background The debate on socioeconomic inequalities in health dominates the research and policy agenda of many countries. The prevalence of non-communicable diseases (NCDs) is on the rise in recent years in Botswana. As a prevention and policy effort, the study provided an empirical evidence on socioeconomic inequalities in NCD risk factors in Botswana. Methods Data used in this study was derived from a cross sectional survey on chronic non communicable diseases in Botswana conducted in 2016. The survey adopted a multistage sampling design and a sample of 1178 participants (males and females) aged 15 years and above was selected in both urban and rural areas of Botswana. The inequality analysis was conducted employing decomposition analysis using ADePT software version 6. Logistic regression models were used to show the association between NCD risk factors and socioeconomic status using SPSS version 25. Results Concentration indices showed that poor physical activity (CI = 0.0546), alcohol consumption (CI = 0.1859) and overweight/obesity (CI = 0.038) were more concentrated among the non-poor while daily smoking (CI = − 0.0308) and poor fruit/vegetable consumption (CI = − 0.1909) were more concentrated among the poor. Wealth status was observed to be the leading contributor to socioeconomic inequality for daily smoking, poor fruit/vegetable consumption, overweight/obesity and poor physical activity. Education was the leading contributor to socioeconomic inequality for alcohol consumption. Conclusions Findings in this study indicate the need for concerted differential efforts to address the needs of the poor and non-poor in order to reduce NCD risk factor inequalities.
topic Inequalities
NCDs
Risk factors
Botswana
Decomposition analysis
url http://link.springer.com/article/10.1186/s12889-019-7405-x
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