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Published on: January 12, 2018
Predictive Models for Characterizing Disparities in Exclusive Breastfeeding Performance in a Multi-ethnic Population
Yeyi Zhu1,2,3, Ladia M Hernandez4, Peter Mueller5
1Department of Nutritional Sciences, University of Texas at Austin, Austin, TX, 78703, USA. yeyi.zhu@nih.gov.
Objectives:
Maternal lactation performance varies across populations, yet the relative impact of maternal sociodemographics, perinatal factors, and birth outcomes on disparities in exclusive breastfeeding (XBR) outcomes is not well known. We aimed to develop predictive models and compare the relative contribution of predictors for XBR initiation and XBR ≥ 6 months.
Methods:
Infant feeding data were obtained from women with children aged 0-6 years (n = 1471) in a multi-ethnic cross-sectional study in the US (2011-2012). We compared discriminant ability of predictors for ever XBR and XBR ≥ 6 months using discriminant function analysis, respectively. We also calculated adjusted ORs for factors associated with XBR outcomes and breast-bottle feeding (BrBot) subgroups.
Results:
Maternal sociodemographics (education level, marital status, nativity, and age at childbirth) had greater discriminating abilities in predicting ever XBR and XBR ≥ 6 months than birth outcomes and perinatal factors. Foreign-born women were two-fold more likely to initiate XBR but not necessarily continue to 6 months compared to their US-born counterparts. Factors associated with BrBot subgroups differed from those associated with XBR outcomes, whereas maternal age was the only predictor consistently associated with ever XBR, XBR ≥ 6 months, and BrBot subgroups. The areas under the receiver operating characteristic curves for models predicting ever XBR and XBR ≥ 6 months were 0.88 (95 % CI 0.85, 0.91) and 0.90 (95 % CI 0.88, 0.93), respectively.
Conclusions:
Findings underscore the importance of educational, clinical, and social support to promote XBR in mothers with sociodemographic factors predictive of none or poor XBR outcomes.
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