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• W3000307480 abstract "Suboptimal infant and young child feeding (IYCF) practices have profound implications on child survival, health, growth, and development. First, our study analysed trends in 18 IYCF indicators and height-for-age z-score (HAZ) and stunting prevalence across Nepal's Family Health Survey 1996 and four rounds of Nepal Demographic and Health Surveys from 2001-2016. Second, we constructed multivariable regression models and decomposed the contribution of optimal IYCF practices on HAZ and stunting prevalence over the 1996-2016 period. Our findings indicate that most age-appropriate IYCF practices and child linear growth outcomes improved over the past two decades. At present, according to the World Health Organization's tool for national assessment of IYCF practices, duration of breastfeeding is rated very good, early initiation of breastfeeding and exclusive breastfeeding (EBF) are rated good, whereas minimal bottle-feeding and introduction of solid, semi-solid or soft foods are rated fair. Our study also reports that a paucity of age-appropriate IYCF practices-in particular complementary feeding-are significantly associated with increased HAZ and decreased probability of stunting (p < .05). Moreover, age-appropriate IYCF practices-in isolation-made modest statistical contributions to the rapid and sustained reduction in age-specific child linear growth faltering from 1996-2016. Nevertheless, our findings indicate that comprehensive multisectoral nutrition strategies-integrating and advocating optimal IYCF-are critical to further accelerate the progress against child linear growth faltering. Furthermore, specific focus is needed to improve IYCF practices that have shown no significant development over the past two decades in Nepal: EBF, minimum acceptable diet, and minimal bottle-feeding." @default.
• W3000307480 created "2020-01-23" @default.
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• W3000307480 date "2020-01-10" @default.
• W3000307480 modified "2023-10-13" @default.
• W3000307480 title "Infant and young child feeding practices and child linear growth in Nepal: Regression–decomposition analysis of national survey data, 1996–2016" @default.
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• W3000307480 doi "https://doi.org/10.1111/mcn.12911" @default.
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