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Analyzing Basic and Underlying Determinants of Child Malnutrition in Nepal
Údaje o názvu Analyzing Basic and Underlying Determinants of Child Malnutrition in Nepal [rukopis] / Urishna Shakya Další variantní názvy Ethnic, socio-economic, gender inequalities in child malnutrition in Nepal Osobní jméno Shakya, Urishna, (autor diplomové práce nebo disertace) Překl.náz Ethnic, socio-economic, gender inequalities in child malnutrition in Nepal Vyd.údaje 2021 Fyz.popis 15060 : tab. + CD Rom Poznámka Ved. práce Maria Sassi Oponent Arpan Gelal Dal.odpovědnost Sassi, Maria, (vedoucí diplomové práce nebo disertace) Gelal, Arpan, (oponent) Dal.odpovědnost Univerzita Palackého. Katedra rozvojových studií (udelovatel akademické hodnosti) Klíč.slova Stunting * UNICEF framework * Socioeconomic context * Nutrition policy * Stunting * UNICEF framework * Socioeconomic context * Nutrition policy Forma, žánr diplomové práce master's theses MDT (043)378.2 Země vyd. Česko Jazyk dok. angličtina Druh dok. PUBLIKAČNÍ ČINNOST Titul Mgr. Studijní program Navazující Studijní program Geography Studijní obor International Development Studies kniha
Kvalifikační práce Staženo Velikost datum zpřístupnění 00274202-232515261.pdf 5 1.3 MB 31.05.2021 Posudek Typ posudku 00274202-ved-263413195.pdf Posudek vedoucího 00274202-opon-648209717.pdf Posudek oponenta Ostatní přílohy Velikost Popis 00274202-other-627043387.zip 315.5 KB
Nepal has a high prevalence of child malnutrition, with a current stunting rate of 37.4%. To overcome the problem, Nepal has set goals and targets at both national and international policy levels. However, Nepal faces serious policy challenges in achieving these goals due to its unstable social, economic and political environment, further aggravated by the devastating 2015 earthquake and current COVID-19 pandemic. In such a situation, it is imperative to design policy interventions that reflect prevailing socioeconomic context and vulnerable population groups. Our study utilized the most recent nationally representative MICS dataset to cover the literature gap on the post-earthquake analysis of child malnutrition. We analyzed the determinants of child malnutrition at different interdependent levels of basic and underlying factors using a series of multiple linear regressions based on the UNICEF (1990) framework. The study findings report that the main determinants of child malnutrition are the child's age, gender, place of delivery, the standard of living, caste or ethnicity, and province. While household living standard remains one of the strongest predictors, as confirmed by previous studies, we find that socioeconomic and contextual aspects are critical factors that are to be accounted for while designing future policy interventions.Nepal has a high prevalence of child malnutrition, with a current stunting rate of 37.4%. To overcome the problem, Nepal has set goals and targets at both national and international policy levels. However, Nepal faces serious policy challenges in achieving these goals due to its unstable social, economic and political environment, further aggravated by the devastating 2015 earthquake and current COVID-19 pandemic. In such a situation, it is imperative to design policy interventions that reflect prevailing socioeconomic context and vulnerable population groups. Our study utilized the most recent nationally representative MICS dataset to cover the literature gap on the post-earthquake analysis of child malnutrition. We analyzed the determinants of child malnutrition at different interdependent levels of basic and underlying factors using a series of multiple linear regressions based on the UNICEF (1990) framework. The study findings report that the main determinants of child malnutrition are the child's age, gender, place of delivery, the standard of living, caste or ethnicity, and province. While household living standard remains one of the strongest predictors, as confirmed by previous studies, we find that socioeconomic and contextual aspects are critical factors that are to be accounted for while designing future policy interventions.
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