Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares (PLS) regression analysis

Alamgir Kabir, Md Jahanur Rahman, Abu Ahmed Shamim, Rolf D W Klemm, Alain B Labrique, Mahbubur Rashid, Parul Christian and Keith P West

PLOS ONE, 2017, vol. 12, issue 12, 1-16

Abstract: Birth weight, length and circumferences of the head, chest and arm are key measures of newborn size and health in developing countries. We assessed maternal socio-demographic factors associated with multiple measures of newborn size in a large rural population in Bangladesh using partial least squares (PLS) regression method. PLS regression, combining features from principal component analysis and multiple linear regression, is a multivariate technique with an ability to handle multicollinearity while simultaneously handling multiple dependent variables. We analyzed maternal and infant data from singletons (n = 14,506) born during a double-masked, cluster-randomized, placebo-controlled maternal vitamin A or β-carotene supplementation trial in rural northwest Bangladesh. PLS regression results identified numerous maternal factors (parity, age, early pregnancy MUAC, living standard index, years of education, number of antenatal care visits, preterm delivery and infant sex) significantly (p

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0189677

DOI: 10.1371/journal.pone.0189677

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