Literature DB >> 8615348

Screening for nutrition interventions: the risk or the differential-benefit approach?

M T Ruel1, J P Habicht, K M Rasmussen, R Martorell.   

Abstract

The risk approach has been promoted to improve screening for nutrition interventions on the premise that indicators of risk also predict greater response to interventions. This study tested whether the determinants of the risk of poor growth (eg, low length-for-age) at 36 mo of age were the same as the determinants of differential benefit from food supplementation. The sample included 460 Guatemalan children who were exposed to either a high-energy, high-protein drink (atole) or a low-energy, no-protein drink (fresco) during their first 36 mo of life [INCAP (Institute of Nutrition of Central America and Panama) supplementation trial]. Low maternal stature, poor socioeconomic status, inadequate home diet, high diarrhea rates, and low anthropometry scores at 3 or 6 mo were all determinants of the risk of poor growth. Only indicators of child's thinness at 3 or 6 mo of age (low weight-for-age, weight-for-length, or midupper arm circumference) were determinants of differential benefit from supplementation. Thus, the development of screening indicators should be based on analyses of the predictors of differential benefit, not on conventional risk-factor analysis.

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Year:  1996        PMID: 8615348     DOI: 10.1093/ajcn/63.5.671

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  2 in total

Review 1.  Programme and policy issues related to promoting positive early nutritional influences to prevent obesity, diabetes and cardiovascular disease in later life: a developing countries view.

Authors:  Noel W Solomons
Journal:  Matern Child Nutr       Date:  2005-07       Impact factor: 3.092

Review 2.  How can the scientific community support the generation of the evidence needed to improve the quality of guidelines for micronutrient interventions?

Authors:  Rebecca J Stoltzfus
Journal:  Adv Nutr       Date:  2014-01-01       Impact factor: 8.701

  2 in total

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