Aarhus Universitets segl

Individual and contextual predictors of overweight or obesity among women in Uganda: a spatio-temporal perspective

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Standard

Individual and contextual predictors of overweight or obesity among women in Uganda : a spatio-temporal perspective. / Amegbor, Prince M.; Yankey, Ortis; Davies, Megan et al.

I: GeoJournal, Bind 87, Nr. 5, 10.2022, s. 3793-3813.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

APA

CBE

MLA

Vancouver

Amegbor PM, Yankey O, Davies M, Sabel CE. Individual and contextual predictors of overweight or obesity among women in Uganda: a spatio-temporal perspective. GeoJournal. 2022 okt.;87(5):3793-3813. Epub 2021 jul. 5. doi: 10.1007/s10708-021-10466-7

Author

Amegbor, Prince M. ; Yankey, Ortis ; Davies, Megan et al. / Individual and contextual predictors of overweight or obesity among women in Uganda : a spatio-temporal perspective. I: GeoJournal. 2022 ; Bind 87, Nr. 5. s. 3793-3813.

Bibtex

@article{357a91575f0f467c99818bb805151bdd,
title = "Individual and contextual predictors of overweight or obesity among women in Uganda: a spatio-temporal perspective",
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{\textquoteright}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{\textquoteright}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{\textquoteright}s socioeconomic status and air quality could reduce the rising obesity epidemic in Ugandan women.",
keywords = "Women, Uganda, PM2.5, Socioeconomic status, Overweight/obesity, Bayesian spatial models, Overweight or obesity, PM",
author = "Amegbor, {Prince M.} and Ortis Yankey and Megan Davies and Sabel, {Clive E}",
year = "2022",
month = oct,
doi = "10.1007/s10708-021-10466-7",
language = "English",
volume = "87",
pages = "3793--3813",
journal = "GeoJournal",
issn = "0343-2521",
publisher = "Springer",
number = "5",

}

RIS

TY - JOUR

T1 - Individual and contextual predictors of overweight or obesity among women in Uganda

T2 - a spatio-temporal perspective

AU - Amegbor, Prince M.

AU - Yankey, Ortis

AU - Davies, Megan

AU - Sabel, Clive E

PY - 2022/10

Y1 - 2022/10

N2 - 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.

AB - 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.

KW - Women

KW - Uganda

KW - PM2.5

KW - Socioeconomic status

KW - Overweight/obesity

KW - Bayesian spatial models

KW - Overweight or obesity

KW - PM

U2 - 10.1007/s10708-021-10466-7

DO - 10.1007/s10708-021-10466-7

M3 - Journal article

VL - 87

SP - 3793

EP - 3813

JO - GeoJournal

JF - GeoJournal

SN - 0343-2521

IS - 5

ER -