Please use this identifier to cite or link to this item: http://hdl.handle.net/10311/212
Title: Predictors of food variety and dietary diversity among older persons in Botswana
Authors: Clausen, T.
Charlton, K.E.
Gobotswang, K.S.M.
Holmboe-Ottesen, G.
Keywords: Elderly
Food variety
Dietary diversity
Nutritional
Botswana
Screening instrument
Issue Date: 2005
Publisher: Elsevier; www.elsevier.com/locate/nut
Citation: Gobotswang, K.S.M. et al (2005) Predictors of food variety and dietary diversity among older persons in Botswana, Nutrition 21 pp. 86-95
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
ISSN: 0899-9007
Appears in Collections:Research articles (Dept of Family and Consumer Sciences, formerly Home Economics Education)

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