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Predicting Undernutrition at Age 2 Years with Early Attained Weight and Length Compared with Weight and Length Velocity.
Schwinger, Catherine; Fadnes, Lars T; Shrestha, Sanjaya K; Shrestha, Prakash Sundar; Chandyo, Ram Krishna; Shrestha, Binob; Ulak, Manjeswori; Bodhidatta, Ladaporn; Mason, Carl; Strand, Tor A.
Afiliação
  • Schwinger C; Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway. Electronic address: c.schwinger@uib.no.
  • Fadnes LT; Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway; Department of Clinical Dentistry, University of Bergen, Bergen, Norway.
  • Shrestha SK; Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway; Research Unit, Walter Reed/Armed Forces Research Institute of Medical Sciences, Kathmandu, Nepal.
  • Shrestha PS; Department of Child Health, Institute of Medicine, Tribuhvan University, Kathmandu, Nepal.
  • Chandyo RK; Department of Child Health, Institute of Medicine, Tribuhvan University, Kathmandu, Nepal.
  • Shrestha B; Research Unit, Walter Reed/Armed Forces Research Institute of Medical Sciences, Kathmandu, Nepal.
  • Ulak M; Department of Child Health, Institute of Medicine, Tribuhvan University, Kathmandu, Nepal.
  • Bodhidatta L; Department of Enteric Diseases, Armed Forces Research Institute of Medical Sciences (AFRIMS), Bangkok, Thailand.
  • Mason C; Department of Enteric Diseases, Armed Forces Research Institute of Medical Sciences (AFRIMS), Bangkok, Thailand.
  • Strand TA; Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway; Department of Research, Innlandet Hospital Trust, Lillehammer, Norway.
J Pediatr ; 182: 127-132.e1, 2017 03.
Article em En | MEDLINE | ID: mdl-27974166
OBJECTIVE: To estimate the abilities of weight and length velocities vs attained growth measures to predict stunting, wasting, and underweight at age 2 years. STUDY DESIGN: We analyzed data from a community-based cohort study (The Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development study [MAL-ED] study) in Bhaktapur, Nepal. A total of 240 randomly selected children were enrolled at birth and followed up monthly up to age 24 months. Linear and logistic regression models were used to predict malnutrition at 2 years of age with growth velocity z scores at 0-3, 0-6, 3-6, 6-9, 6-12, and 9-12 months (using the World Health Organization Growth Standards) or attained growth at 0, 3, 6, and 12 months as predictors. RESULTS: At age 2 years, 4% of the children were wasted, 13% underweight, and 21% stunted. Children who were malnourished at age 2 years had lower mean growth z scores already at birth and throughout the study period. Anthropometric indicators in infancy were significant predictors for growth at the age of 2 years during most periods and at most ages in infancy. Weight-for-age z score, length-for-age z score, and weight-for-length z score at age 12 months had excellent areas under the curve (91-95) to predict the value of the same indicator at age 24 months. Maximum area under the curve values for weight and length velocity were somewhat lower (70-84). CONCLUSIONS: Growth measured at one time point in infancy was better correlated with undernutrition at age 2 years than growth velocity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estatura / Peso Corporal / Antropometria / Desnutrição Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Infant / Male País como assunto: Asia Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estatura / Peso Corporal / Antropometria / Desnutrição Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Infant / Male País como assunto: Asia Idioma: En Ano de publicação: 2017 Tipo de documento: Article