2004 · 19 citations · 10 references
Public HealthChild HealthNutritionChild NutritionEpidemiologyPediatric EpidemiologyChild Health EpidemiologyChildhood Risk FactorsGrowth EpidemiologyLow Birth Weight EpidemiologyMalnutritionUndernutritionAnthropometric SamplingBirth Weight AssessmentChild Growth FailureChild StuntingChildhood StuntingEpidemiologic Data AnalysisLogistic RegressionMultistage Sampling
the risk factors of wasting and stunting in under-5-year children. Methods – From February to April 2002, 600 under-5-year children were selected by multistage random sampling. Household’s demographic and socioeconomic measures as well as child health and anthropometric characteristics were analyzed using Chi-square, t-test, ANOVA, and multiple logistic regression. To make a comparison with the results of National Center for Health Statistics (NCHS), we used Epi Info 6 software. Our data collection methods were weighing by scales, observation, and checklist. Results – The male to female ratio was one. The prevalence of underweight, stunting, and wasting was 13.9%, 20.3%, and 4.9%, respectively. Most malnourished children belonged to the mothers who had low literacy and no history of measles vaccination and breast-feeding. Data also indicated that the principal risk factors for underweight were birth weight below 2.5 kg, a shorterthan-3-year interval from mother’s previous birth, and urban life (p < 0.05).The principal risk factors for stunting were being younger than 6 months and birth weight below 2.5 kg (p < 0.05). Conclusion – Our results support the biological and epidemiologic evidence that underweight, stunting, and wasting represent different processes of malnutrition and have different risk factors.
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World Development Report 1990.
Michael P. Todaro, World Bank · Population and Development Review · 1990 · 1.8K citations