Longitudinal principal components analysis of patterns and predictors of growth in Guatemalan children

American Journal of Human Biology : the Official Journal of the Human Biology Council
H J KaplowitzJ A Rivera

Abstract

Longitudinal principal components (LPC) analysis was used to assess growth patterns in children from rural Guatemala in order to determine if this methodology could provide additional information regarding correlates of growth compared to more traditionally used methods based on attained size and increments. LPC analysis reduces measures at many points in time into a few parameters. However, LPC analysis requires complete data, and many cases may be lost due to missing values. Thus the potentially greater sensitivity of LPC analysis should be weighed against the reduced power resulting from smaller sample sizes. Component indices representing centile level and centile shift, attained size, and 3 to 36 month increments of growth in length and weight were used as the dependent variables in multiple regression models in order to examine the effects of environmental variables, such as home dietary intake, supplementation, and prevalence of diarrhea on growth. Regardless of which growth index, i.e., attained size, incremental change, or principal component, was used, regression results were similar; higher nutritional intakes were generally associated with greater and more rapid growth from birth to age 3 years. The possible advanta...Continue Reading

References

Nov 1, 1975·American Journal of Physical Anthropology·R MartorellR E Klein
Jan 15, 1986·Documenta Ophthalmologica. Advances in Ophthalmology·D HumaldaJ G Worst
Nov 29, 1980·Lancet·J C WaterlowM Griffiths
Jul 1, 1982·Early Human Development·H L DelgadoR E Klein

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Citations

Jan 1, 1997·American Journal of Human Biology : the Official Journal of the Human Biology Council·Janice E Stuff, William H Mueller
Sep 17, 2016·Neonatal Network : NN·Denise J MaguireLeah Clark

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