AI Article Synopsis

  • The study evaluates Composite Child Feeding Indices (CCFIs) to find the best predictor of child nutritional status (stunting, wasting, underweight) for improving public health interventions against undernutrition.
  • Three CCFIs showed a significant link only to wasting after analyzing data from 581 mother-child pairs using multivariable regression.
  • CCFI 5, created via principal component analysis, emerged as the most effective index for predicting wasting, proving its reliability and suggesting it be standardized for use in different populations.

Article Abstract

Composite child feeding indices (CCFIs) developed from various relevant measures of dietary intake by infants and young children have several potential applications in nutritional epidemiological studies for the development and deployment of precise public health nutrition interventions against child undernutrition. The predictive utility of some CCFIs (computed from varying formulation components) for child nutritional status (stunting, wasting, and underweight) were compared. The purpose of the study was to identify the most suitable among them for possible standardization, validation, and adoption by nutritional health researchers. Using cluster sampling, data from 581 mother-child pairs were collected. Multivariable regression analyses were applied to the data obtained through a community-based analytical cross-sectional survey design. Three of the CCFIs were found to be significantly associated with only wasting (WHZ) from the linear regression models after adjusting for potential confounders and/or correlates. None of the CCFIs (whether in the continuous nor categorical form) was consistently predictive of all three measures of child nutritional status, after controlling for potential confounders and/or correlates, irrespective of the choice of regression method. CCFI 5 was constructed using a dimension reduction technique-namely principal component analysis (PCA)-as the most optimal summary index in terms of predictiveness for child wasting status, validity, and reliability (Cronbach's α = 0.80) that captured relevant dimensions of optimal child food intake. The dimension reduction approach that was used in constructing CCFI 5 is recommended for standardization, validation, and possible adoption for wider applicability across heterogeneous population settings as an optimum CCFI usable for nutritional epidemiological studies among children under five years.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180453PMC
http://dx.doi.org/10.3390/ijerph19116621DOI Listing

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