TY - JOUR
T1 - 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
AU - Lartey, Stella T.
AU - Si, Lei
AU - de Graaff, Barbara
AU - Magnussen, Costan G.
AU - Ahmad, Hasnat
AU - Campbell, Julie
AU - Biritwum, Richard Berko
AU - Minicuci, Nadia
AU - Kowal, Paul
AU - Palmer, Andrew J.
N1 - Funding Information: The authors received no specific funding for this work. Prof. Andrew J. Palmer is funded by the Centre of Excellence in Population Ageing Research , Australian Research Council ( CE170100005 ). The National Heart Foundation of Australia Future Leader Fellowship ( 100849 ) supports Dr. Costan G. Magnussen. Dr. Lei Si is supported by an NHMRC Early Career Fellowship (Grant number: GNT1139826 ). The Study on global AGEing and adult health (SAGE) Wave 2 was supported by 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. Financial and in-kind support has come from the University of Ghana’s Department of Community Health.
Funding Information:
The authors received no specific funding for this work. Prof. Andrew J. Palmer is funded by the Centre of Excellence in Population Ageing Research, Australian Research Council (CE170100005). The National Heart Foundation of Australia Future Leader Fellowship (100849) supports Dr. Costan G. Magnussen. Dr. Lei Si is supported by an NHMRC Early Career Fellowship (Grant number: GNT1139826). The Study on global AGEing and adult health (SAGE) Wave 2 was supported by 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. Financial and in-kind support has come from the University of Ghana's Department of Community Health. We appreciate access to a preliminary version of SAGE Ghana Wave 2 data used for the analyses in this article.
Publisher Copyright:
© 2019 ISPOR–The Professional Society for Health Economics and Outcomes Research
PY - 2019/9
Y1 - 2019/9
N2 - Background: 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 the World 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 (−0.024; 95% CI: −0.037, −0.011), female sex (−0.011; 95% CI: −0.020, −0.003), 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.
AB - Background: 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 the World 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 (−0.024; 95% CI: −0.037, −0.011), female sex (−0.011; 95% CI: −0.020, −0.003), 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.
KW - health economic evaluations
KW - health state utilities
KW - obesity
KW - sub-Saharan Africa
KW - WHO SAGE Wave 2
UR - http://www.scopus.com/inward/record.url?scp=85067095092&partnerID=8YFLogxK
U2 - 10.1016/j.jval.2019.04.1925
DO - 10.1016/j.jval.2019.04.1925
M3 - Article
C2 - 31511181
AN - SCOPUS:85067095092
VL - 22
SP - 1042
EP - 1049
JO - Value in Health
JF - Value in Health
SN - 1098-3015
IS - 9
ER -