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1.
S. Afr. j. clin. nutr. (Online) ; 23(4): 202-207, 2010.
Article in English | AIM | ID: biblio-1270520

ABSTRACT

Objectives: Factors associated with children's anthropometric status were determined. Design: Secondary analysis was done using data from a cross-sectional survey including children under five years of age (n = 2 485) and their mothers in rural districts of the Eastern Cape and KwaZulu-Natal provinces; South Africa. Methods: Data generated by questionnaire and anthropometric indices were used to construct a logistic regression model; taking into account hierarchical relationships of risk factors to determine the odds of a child being stunted; underweight or overweight. Statistical significance was set at p 0.05. Results: Factors associated with stunting were child of male gender (odds ratio (OR)


Subject(s)
Child Nutrition Disorders , Overweight , Risk Factors , Thinness
2.
S. Afr. j. clin. nutr. (Online) ; 23(4): 202-207, 2010.
Article in English | AIM | ID: biblio-1270523

ABSTRACT

Objectives: Factors associated with children's anthropometric status were determined. Design: Secondary analysis was done using data from a cross-sectional survey including children under five years of age (n = 2 485) and their mothers in rural districts of the Eastern Cape and KwaZulu-Natal provinces; South Africa. Methods: Data generated by questionnaire and anthropometric indices were used to construct a logistic regression model; taking into account hierarchical relationships of risk factors to determine the odds of a child being stunted; underweight or overweight. Statistical significance was set at p 0.05. Results: Factors associated with stunting were child of male gender (odds ratio (OR)


Subject(s)
Child Nutrition Disorders , Overweight , Risk Factors , Thinness
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