Browsing Faculty of Education by Author "Gobotswang, K.S.M."
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Nnyepi, M.; Gobotswang, K.S.M.; Codjia, P. (Macmillan, www.palgrave-journals.com/jphp/, May 12, 2011)[more][less]
Abstract: This study documents a marked discrepancy between the nutritional status of children aged 0–5 years in Botswana when measured by national surveys compared to clinic-based surveillance. We compared the average prevalence of underweight (weight-for-age z-scores below 2 standard deviations of the mean of the Center for Disease Control (CDC)/WHO reference standards) in children 0–5 years of age. According to clinic surveillance, prevalence of underweight has fallen from 14.670.03 to 3.570.04 per cent between 1993 and 2010. In national surveys, it had fallen from 14.670.01 to 11.570.01 per cent between 1993 and 2007. We explored several possibilities to explain this discrepancy, and conclude that it is because of sampling bias in the clinic surveillance. This finding underlines the need for properly conducted surveys to ensure accurate information about the nutritional status of children. URI: http://hdl.handle.net/10311/1051 Files in this item: 1
Nnyepi_JPHP_2011.pdf (1.267Mb) -
Clausen, T.; Charlton, K.E.; Gobotswang, K.S.M.; Holmboe-Ottesen, G. (Elsevier; www.elsevier.com/locate/nut, NaN, 2005)[more][less]
Abstract: Objective: We investigated whether food variety and diversity are associated with physical and cognitive functioning in older adults in Botswana and designed a simple set of screening questions that predict food variety in this population. Methods: Data were collected (1998) as a national household survey of 1085 subjects 60 y and older. A food variety score, based on a food frequency checklist, was calculated by summing the frequency of weekly intakes of 16 food items (0 to 66). A dietary diversity score was calculated as the number of food groups consumed weekly (0 to 5). A representative subsample (n = 393) was randomly selected for the clinical component of the survey, and measurements on dependency and cognitive function were conducted. Results: Low food variety was found: 35.2%, 59.3%, and 22.4% of subjects consumed no dairy products, fruits, and vegetables, respectively. A higher food variety score was associated with urban residence, ownership of cattle, higher education, and more frequent meals, and these indicators were used to construct a nutritional risk indicator. Higher food variety score was associated with better self-reported health and better cognitive function. Similarly, a higher score on the nutritional risk indicator screening tool was associated with desirable health outcomes. Conclusion: A limited number of foods is consumed, leading to an overall pattern of poor food variety. Higher food variety was associated with improved physical and cognitive functions. A screening tool that predicts food variety in this population has been developed and is recommended to be incorporated at a primary care level to identify older adults most at risk of a poor quality diet. URI: http://hdl.handle.net/10311/212 Files in this item: 2
Gobotswang_N_2005.pdf (2.476Mb)license.txt (1.998Kb)
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