Browsing Faculty of Education by Subject "Malnutrition"
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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) -
Nnyepi, M.S. (Medpharm Publications (Pty) Ltd., http://www.medpharm.co.za, NaN, 2009)[more][less]
Abstract: Objectives: The objectives of this study were to 1)to determine the proportion of people living with HIV/AIDS (PLWHA) at risk of developing malnutrition, 2) to determine the prevalence of malnutrition (BMI < 18.5 kg/m2, and 3)to describe the dietary intake and other nutrition parameters of PLWHA with membership in support groups. Design: Descriptive cross-sectionals study. Setting: Six support groups in Gaborone and neighboring locations. Subjects: Consenting, free- living HIV-positive adults 20-50 years of age with membership in support groups PLWHA. Outcome measures: The subjects' risk of developing malnutrition was established using a modified subjective global assessment (SGA)screening tool. Subjects with an SGA score ≥ 4 were classified as being at high risk of developing malnutrition. Results: From 145 PLWHA screened, 47.5% (n=69)were found to be at high risk of developing malnutrition (SGA score ≥ 4) and 28.5%(n=41) were malnourished (BMI <18.5 kg/m2). In the sample with SGA scores ≥ 4, 52.2% (n=35) presented with BMI <18.5 kg/m2. These two groups also reported more unintentional weight loss, gastrointestinal symptoms, and other conditions commonly associated with a high risk of developing malnutrition. PLWHA with membership in support groups also had low educational attainment and high unemployment rates. A total of 47% of subjects with an SGA score ≥ 4 needed food assistance. Conclusions: Almost 50% of PLWHA with membership in support groups for PLWHA are at risk of developing malnutrition, while about 30% have a BMI <18.5 kg/m2. Nutrition screening can also help to identify those PLWHA with BMI>18.5 kg/m2 who are still at high risk of developing malnutrition. Timely nutrition interventions can therefore be instituted in order to prevent deterioration in nutritional status. Description: Some symbols in the abstract may not be the same as in the original abstract. URI: http://hdl.handle.net/10311/966 Files in this item: 1
Nnyepi_SAJCN_2009.pdf (495.9Kb)
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