Evaluation of the Association Between Health State Utilities and Obesity in Sub-Saharan Africa: Evidence From World Health Organization Study on Global AGEing and Adult Health Wave 2

Simple item page
dc.contributor.authorBiritwum, R.B.
dc.contributor.authorLartey, S.T.
dc.contributor.authorSi, L.
dc.contributor.authorDe Graaff, B.
dc.contributor.authorMagnussen, C.G.
dc.contributor.authorAhmad, H.
dc.contributor.authorCampbell, J.
dc.contributor.authorMinicuci, N.
dc.contributor.authorKowal, P.
dc.contributor.authorPalmer, A.J.
dc.date.accessioned2019-09-27T15:11:39Z
dc.date.available2019-09-27T15:11:39Z
dc.date.issued2019-06-13
dc.descriptionResearch Articleen_US
dc.description.abstractBackground: Obesity is a major public health challenge and its prevalence has increased across the age spectrum from 1980 to date in most parts of the world including sub-Saharan Africa. Studies that derive health state utilities (HSUs) stratified by weight status to support the conduct of economic evaluations and prioritization of cost-effective weight management interventions are lacking in sub-Saharan Africa. Objectives: To estimate age- and sex-specific HSUs for Ghana, along with HSUs by weight status. Associations between HSUs and overweight and obesity will be examined. Study Design: Cross-sectional survey of the Ghanaian population. Methods: Data were sourced from theWorld Health Organization Study of Global AGEing and Adult Health (WHO SAGE), 2014 to 2015. Using a “judgment-based mapping” method, responses to items from the World Health Organization Quality-of-Life (WHOQOL-100) used in the WHO SAGE were mapped to EQ-5D-5L profiles, and the Zimbabwe value set was applied to calculate HSUs. Poststratified sampling weights were applied to estimate mean HSUs, and a multivariable linear regression model was used to examine associations between HSUs and overweight or obesity. Results: Responses from 3966 adults aged 18 to 110 years were analyzed. The mean (95% confidence interval) HSU was 0.856 (95% CI: 0.850, 0.863) for the population, 0.866 (95% CI: 0.857, 0.875) for men, and 0.849 (95% CI: 0.841, 0.856) for women. Lower mean HSUs were observed for obese individuals and with older ages. Multivariable regression analysis showed that HSUs were negatively associated with obesity (20.024; 95% CI: 20.037, 20.011), female sex (20.011; 95% CI: 20.020, 20.003), and older age groups in the population. Conclusions: The study provides HSUs by sex, age, and body mass index (BMI) categories for the Ghanaian population and examines associations between HSU and high BMI. Obesity was negatively associated with health state utility in the population. These data can be used in future economic evaluations for Ghana and sub-Saharan African populations.en_US
dc.description.sponsorshipThe Centre of Excellence in Population Ageing Research, Australian Research Council (CE170100005). The National Heart Foundation of Australia Future Leader Fellowship (100849).NHMRC Early Career Fellowship (Grant number: GNT1139826).WHO and the US National Institute on Aging’s Division of Behavioural and Social Science Research (BSR) through Interagency Agreements (OGHA 04034785; YA1323-08-CN- 0020; Y1-AG-1005-01) with the WHO.University of Ghana’s Department of Community Health.en_US
dc.identifier.otherhttps://doi.org/10.1016/j.jval.2019.04.1925
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/32330
dc.language.isoenen_US
dc.publisherValue in Healthen_US
dc.relation.ispartofseries22;9
dc.subjectHealth economic evaluationsen_US
dc.subjectHealth state utilitiesen_US
dc.subjectObesityen_US
dc.subjectSub-Saharan Africaen_US
dc.subjectWHO SAGE Wave 2en_US
dc.titleEvaluation of the Association Between Health State Utilities and Obesity in Sub-Saharan Africa: Evidence From World Health Organization Study on Global AGEing and Adult Health Wave 2en_US
dc.typeArticleen_US

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.6 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Department of Community Health