title: Nutritional impact of supplementation in the INCAP longitudinal study: analytic strategies and inferences.
abstract: From 1969 to 1977 a supplementation trial was conducted in Guatemala to ascertain the effects on physical and behavioral outcomes of improved nutrition in pregnant women and in preschool children. This paper reviews different strategies to analyze the effect of the intervention on physical growth. One strategy compares outcomes in two villages that were randomly allocated to receive Atole, a supplement containing high amounts of protein and energy, with values in two other villages that received Fresco, a beverage containing no protein and little energy. Both supplements contained micronutrients. This comparison of village means gives a probability significance statement (P < 0.005) that the difference in growth was because of the supplement intervention, although it does not specify the aspect of the intervention that caused the effect. Complementary strategies increase the credibility that the effect of the supplement was nutritional. Thus, analysis of the dose response with increasing supplement intake within the villages excludes the possibility that the above findings were the result of knowing which villages received which supplement (i.e., measuring biases). A greater effect in those most likely to respond nutritionally also increases the credibility that the mechanism was nutritional. In studying other behavioral and biomedical impacts of this supplementation intervention, analyses for credibility should always be included.
authors.affiliation: Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853-6301, USA.
authors.forename: J P
authors.initials: JP
authors.lastname: Habicht
authors.forename: R
authors.initials: R
authors.lastname: Martorell
authors.forename: J A
authors.initials: JA
authors.lastname: Rivera
mesh_terms: D015362:Child Nutrition Disorders / Q000150:complications / Q000178:diet therapy*; D002675:Child, Preschool; D015986:Confounding Factors, Epidemiologic; D003627:Data Interpretation, Statistical; D015987:Effect Modifier, Epidemiologic; D005260:Female; D005527:Food, Fortified; D006130:Growth Disorders / Q000517:prevention & control; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008137:Longitudinal Studies; D008297:Male; D011247:Pregnancy; D012107:Research Design