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Biology subjects

Boateng, G. O.

Publications and source records attributed to Boateng, G. O..

2 recordsLinked to original sources

Rapidly increasing prevalence of overweight and obesity in older Ghanaian adults from 2007-2015: evidence from WHO-SAGE Waves 1 & 2

BackgroundStudies on changes in the prevalence and determinants of obesity in older adults living in sub-Saharan Africa are limited. We examined recent changes in obesity prevalence and associated factors for older adults in Ghana between 2007/08 and 2014/15.\n\nMethodsData on adults aged 50 years and older in Ghana were collected in the WHO SAGE Wave 1 (2007/08; n=4158) and Wave 2 (2014/15; n=1663). The weighted prevalence of obesity, overweight, normal weight and underweight, and of high central adiposity was compared in Waves 1 and 2. Multinomial and binomial logistic regressions were used to examine whether the determinants of weight status based on objectively measured body mass index and waist circumference changed between the two survey periods.\n\nResultsThe prevalence of obesity (Wave 1=10.2%, 95% CI: 8.9-11.7%; Wave 2=15.0%, 95% CI: 12.6-17.7%) and overweight (Wave 1=19.6%, 95% CI: 18.0-21.4%; Wave 2=24.5%, 95% CI: 21.7-27.5%) was higher in Wave 2 than Wave 1 and more than half of the population had high central adiposity (Wave 1=57.7%, 95% CI: 55.4-60.1%; Wave 2=66.9%, 95% CI: 63.7-70.0%) in both study periods. Obesity prevalence was 16% lower in males and 55% higher in females comparing Wave 1 to Wave 2. Female sex, urban residence, and high household wealth were associated with higher odds of overweight/obesity and high central adiposity. Those aged 70+ years had lower odds of obesity in both study waves. In Wave 2, females with physical activity level were more likely to be obese.\n\nConclusionOver the 7-year period between survey waves, the population prevalence of overweight and obesity increased by 25% and 47%, respectively, while underweight reduced by 43%. These findings differed considerably by sex, which points to differential impacts of past initiatives to reduce overweight/obesity, potential high-risk groups in Ghana, and the need to increase surveillance.

epidemiology↗

A Novel Household Water Insecurity Scale: Procedures and Psychometric Analysis among Postpartum Women in Western Kenya

Our ability to measure household-level food insecurity has revealed its critical role in a range of physical, psychosocial, and health outcomes. Currently, there is no analogous, standardized instrument for quantifying household-level water insecurity, which prevents us from understanding both its prevalence and consequences. Therefore, our objectives were to develop and validate a household water insecurity scale appropriate for use in our cohort in western Kenya. We used a range of qualitative techniques to develop a preliminary set of 29 household water insecurity questions, and administered those questions at 15 and 18 months postpartum, concurrent with a suite of other survey modules. These data were complemented by data on quantity of water used and stored, and microbiological quality. Inter-item and item-total correlations were performed to reduce scale items to 20. Exploratory factor and parallel analyses were used to determine the latent factor structure; a unidimensional scale was hypothesized and tested using confirmatory factor and bifactor analyses, along with multiple statistical fit indices. Reliability was assessed using Cronbachs alpha and the coefficient of stability, which produced a coefficient alpha of 0.97 at 15 and 18 months postpartum and a coefficient of stability of 0.62. Predictive, convergent and discriminant validity of the final household water insecurity scale were supported, based on relationships with food insecurity, perceived stress, per capita household water use, and time and money spent acquiring water. The resultant scale is a valid and reliable instrument. It can be used in this setting to test a range of hypotheses about the role of household water insecurity in numerous physical and psychosocial health outcomes, to identify the households most vulnerable to water insecurity, and to evaluate the effects of water-related interventions. To extend its applicability, we encourage efforts to develop a cross-culturally valid scale using robust qualitative and quantitative techniques.

epidemiology↗