Social determinants of child malnutrition outcomes: Evidence from CHNS in China.

Heliyon

School of Business and Economics, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia.

Published: January 2024

China is committed to reduce child malnutrition outcomes (CMO) rates to less than 5 % by 2030 in order to meet the Sustainable Development Goal (SDG). Yet, this is still an enormous challenge for China, particularly in disadvantaged areas, due to regional and urban-rural disparities. Using China Health and Nutrition Survey (CHNS) data from 1991 to 2015 and fixed-effect models, this study investigates the social determinants of stunting (n = 4012) measured by height-for-age z score (HAZ) and wasting (n = 4229) measured by weight-for-height z score (WHZ) in children under the age of five. According to the empirical findings, the significant social determinants of child stunting encompassed whether the child is insured (p < 0.01), maternal education level (primary school (p < 0.01) low middle school (p < 0.01); vocational school (p < 0.01)), maternal employment status (p < 0.05), mother's average working days (p < 0.05), average household per capita income (p < 0.01), household asset index (p < 0.01), urbanization index living in a community (medium (p < 0.05); higher (p < 0.01); highest (p < 0.01)) and living regions (west (p < 0.01); northeast (p < 0.05)). Children's maternal employment status (p < 0.05), mother's average working days (p < 0.05), living areas (p < 0.05) and living regions (central (p < 0.01); west (p < 0.01); north-east (p < 0.05)) are the significant factors impacting child wasting. Furthermore, the interaction impact between maternal employment and have one additional working day per week is positive. To attain SDGs, the Chinese government should priorities lowering stunting and wasting among 5-year-olds in the western region, particularly in impoverished regions. Also, it is possible to develop tailored policies for the growth and development of children under the age of five by addressing pertinent socio-economic factors.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10767191PMC
http://dx.doi.org/10.1016/j.heliyon.2023.e23887DOI Listing

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