Predictive Utility of Composite Child Feeding Indices (CCFIs) for Child Nutritional Status: Comparative Analyses for the Most Suitable Formula for Constructing an Optimum CCFI

Anin SK, Ansong RS, Fischer F, Krämer A (2022)
International journal of environmental research and public health 19(11): 6621.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Anin, Stephen Kofi; Ansong, Richard Stephen; Fischer, Florian; Krämer, AlexanderUniBi
Abstract / Bemerkung
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 alpha = 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.
Erscheinungsjahr
2022
Zeitschriftentitel
International journal of environmental research and public health
Band
19
Ausgabe
11
Art.-Nr.
6621
eISSN
1660-4601
Page URI
https://pub.uni-bielefeld.de/record/2963957

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Anin SK, Ansong RS, Fischer F, Krämer A. Predictive Utility of Composite Child Feeding Indices (CCFIs) for Child Nutritional Status: Comparative Analyses for the Most Suitable Formula for Constructing an Optimum CCFI. International journal of environmental research and public health. 2022;19(11): 6621.
Anin, S. K., Ansong, R. S., Fischer, F., & Krämer, A. (2022). Predictive Utility of Composite Child Feeding Indices (CCFIs) for Child Nutritional Status: Comparative Analyses for the Most Suitable Formula for Constructing an Optimum CCFI. International journal of environmental research and public health, 19(11), 6621. https://doi.org/10.3390/ijerph19116621
Anin, S. K., Ansong, R. S., Fischer, F., and Krämer, A. (2022). Predictive Utility of Composite Child Feeding Indices (CCFIs) for Child Nutritional Status: Comparative Analyses for the Most Suitable Formula for Constructing an Optimum CCFI. International journal of environmental research and public health 19:6621.
Anin, S.K., et al., 2022. Predictive Utility of Composite Child Feeding Indices (CCFIs) for Child Nutritional Status: Comparative Analyses for the Most Suitable Formula for Constructing an Optimum CCFI. International journal of environmental research and public health, 19(11): 6621.
S.K. Anin, et al., “Predictive Utility of Composite Child Feeding Indices (CCFIs) for Child Nutritional Status: Comparative Analyses for the Most Suitable Formula for Constructing an Optimum CCFI”, International journal of environmental research and public health, vol. 19, 2022, : 6621.
Anin, S.K., Ansong, R.S., Fischer, F., Krämer, A.: Predictive Utility of Composite Child Feeding Indices (CCFIs) for Child Nutritional Status: Comparative Analyses for the Most Suitable Formula for Constructing an Optimum CCFI. International journal of environmental research and public health. 19, : 6621 (2022).
Anin, Stephen Kofi, Ansong, Richard Stephen, Fischer, Florian, and Krämer, Alexander. “Predictive Utility of Composite Child Feeding Indices (CCFIs) for Child Nutritional Status: Comparative Analyses for the Most Suitable Formula for Constructing an Optimum CCFI”. International journal of environmental research and public health 19.11 (2022): 6621.
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