Individual and contextual predictors of overweight or obesity among women in Uganda: a spatio-temporal perspective
Individual and contextual predictors of overweight or obesity among women in Uganda: a spatio-temporal perspective
Being overweight and obesity are emerging public health issues in sub-Saharan Africa. Currently, there is limited knowledge on the temporal trend of the effect of socioeconomic factors and air quality on being overweight or obesity. Using data from the Ugandan Demographic and Health Survey and NASA’s Socioeconomic Data and Applications Center (SEDAC), we examined the spatio-temporal effect of individual and contextual factors on overweight and obesity among women in Uganda using cross-sectional data on 15,655 women in Uganda. We employed multilevel mixed-effect analysis and Bayesian hierarchical spatial models to examine the effect of individual socioeconomic status, contextual socioeconomic factors and air quality on women’s risk of being overweight or obese as well as investigate spatial heterogeneity in the association. The prevalence of overweight/obesity for the study periods were 17.23% (2000/2001), 15.36% (2006), 19.36% (2011) and 21.93% (2016). The result from the multilevel analysis shows change in the directions of the association between individual factors (educational status and household wealth) and overweight or obese over the years. Women with secondary education were 1.514 times (p = 0.002) more likely to be overweight or obese in the 2000/2001 group but 0.655 times (p = 0.007) less likely to be overweight or obese in the 2016 group. It also reveals temporal consistency in the effect of the air pollutant PM2.5 on overweight or obese. The spatial models reveal spatial heterogeneity in the association between district-level factors and the proportion of overweight or obese women. The findings suggest improving women’s socioeconomic status and air quality could reduce the rising obesity epidemic in Ugandan women.
Amegbor, P.M.
1e07efdb-dc79-4c80-a300-c8e9c08cb761
Yankey, O.
9965d053-8afb-462f-b7fe-b270e21f2ec1
Davies, M.
3a766215-6c9b-4526-8650-efe6829e610a
Sabel, C.E.
4d176cda-20c5-42c8-9e9c-3adc18ad34b8
5 July 2021
Amegbor, P.M.
1e07efdb-dc79-4c80-a300-c8e9c08cb761
Yankey, O.
9965d053-8afb-462f-b7fe-b270e21f2ec1
Davies, M.
3a766215-6c9b-4526-8650-efe6829e610a
Sabel, C.E.
4d176cda-20c5-42c8-9e9c-3adc18ad34b8
Amegbor, P.M., Yankey, O., Davies, M. and Sabel, C.E.
(2021)
Individual and contextual predictors of overweight or obesity among women in Uganda: a spatio-temporal perspective.
GeoJournal.
(doi:10.1007/s10708-021-10466-7).
Abstract
Being overweight and obesity are emerging public health issues in sub-Saharan Africa. Currently, there is limited knowledge on the temporal trend of the effect of socioeconomic factors and air quality on being overweight or obesity. Using data from the Ugandan Demographic and Health Survey and NASA’s Socioeconomic Data and Applications Center (SEDAC), we examined the spatio-temporal effect of individual and contextual factors on overweight and obesity among women in Uganda using cross-sectional data on 15,655 women in Uganda. We employed multilevel mixed-effect analysis and Bayesian hierarchical spatial models to examine the effect of individual socioeconomic status, contextual socioeconomic factors and air quality on women’s risk of being overweight or obese as well as investigate spatial heterogeneity in the association. The prevalence of overweight/obesity for the study periods were 17.23% (2000/2001), 15.36% (2006), 19.36% (2011) and 21.93% (2016). The result from the multilevel analysis shows change in the directions of the association between individual factors (educational status and household wealth) and overweight or obese over the years. Women with secondary education were 1.514 times (p = 0.002) more likely to be overweight or obese in the 2000/2001 group but 0.655 times (p = 0.007) less likely to be overweight or obese in the 2016 group. It also reveals temporal consistency in the effect of the air pollutant PM2.5 on overweight or obese. The spatial models reveal spatial heterogeneity in the association between district-level factors and the proportion of overweight or obese women. The findings suggest improving women’s socioeconomic status and air quality could reduce the rising obesity epidemic in Ugandan women.
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Accepted/In Press date: 27 June 2021
Published date: 5 July 2021
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Local EPrints ID: 468360
URI: http://eprints.soton.ac.uk/id/eprint/468360
ISSN: 0343-2521
PURE UUID: 46edc8bf-c15a-4543-8331-2d77a5bda7f4
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Date deposited: 11 Aug 2022 16:37
Last modified: 17 Mar 2024 04:11
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Author:
P.M. Amegbor
Author:
O. Yankey
Author:
M. Davies
Author:
C.E. Sabel
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