Sociodemographic correlates of obesity among Ghanaian women

Datos Bibliográficos

ID15097650
AutoresFidelia Dake (0000-0002-6359-389X, University of Ghana, autor de correspondencia), Fidelia AA Dake, Emmanuel O Tawiah, Delali Margaret Badasu (University of Ghana)
Año2011
Volumen14
Número7
Páginas1285-1291
Fecha de publicación2011-07-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPublic Health Nutrition (JOURNAL)
Identificadores de la revistaISSN: 1368-9800 • E-ISSN: 1475-2727
EditorialCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980010002879
PMID21029510
OpenAlexW2318937455
IdiomaEN
Citas recibidas25
Referencias citadas9

Objective To examine the sociodemographic correlates of obesity among Ghanaian women. Design The 2003 and 2008 Ghana Demographic and Health Survey data sets were used to examine the sociodemographic characteristics and the BMI of women aged 15–49 years using descriptive statistics, bivariate and multivariate analyses. Setting Ghana is a West African country which is divided into ten administrative regions. The country is further divided into the northern and southern sectors. The northern sector includes the three northern regions (Northern, Upper East and Upper Westen regions) and the seven remaining regions form the southern sector. Subjects Women aged 15–49 years whose BMI values were available. Results The overall prevalence of obesity and overweight increased from 25·5 % in 2003 to 30·5 % in 2008. Obesity varied directly with age from 20 to 44 years. Women with higher education had the highest rate of obesity. Obesity was more common among women from wealthy households compared to women from poor households. Conclusions Obesity and overweight were found to be more common among older women, urban women, married women, women with higher education and women from rich households. Adoption of healthy lifestyles and the implementation of policies that promote healthy living can help reduce the prevalence of overweight and obesity

Bivariate analysis · Descriptive statistics · Environmental health · Geography · Multivariate analysis · Obesity · Overweight · Child Nutrition and Water Access · Demography · Global Public Health Policies and Epidemiology · Medicine · Obesity, Physical Activity, Diet · Gerontology