2021
DOI: 10.1017/s136898002100416x
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What explains the large disparity in child stunting in the Philippines? A decomposition analysis

Abstract: Objective: About a third of under-five Filipino children are stunted, with significant socio-economic inequality. This study aims to quantify factors that explain the large gap in stunting between poor and non-poor Filipino children. Design: Using the 2015 Philippine National Nutrition Survey (NNS), we conducted a linear probability model to examine the determinants of child stunting then an Oaxaca-Blinder decomposition to explain the factors contributing to the gap in stunting between p… Show more

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Cited by 7 publications
(15 citation statements)
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“…The results from our study suggest that coefficients (Child factors: child age; household factors: wealth index; Maternal factors: number of antenatal care visits) were the key determinants of moderate and severe stunting reduction in Rwanda. The results from the current study agree with the outcome of studies conducted in Bangladesh and the Philippines which concluded that child‐related factors (age, sex, place of birth and vaccination status), Maternal (education, BMI, stature, media exposure and the number of children), and household (wealth index, family size and sanitation infrastructure) are essential determinants of stunting reduction (Ulep et al, 2021 ; Win et al, 2021 ). Furthermore, our study and those of others show that attainment of higher education among mothers increases their chances of access to knowledge of health education, leading to improved child feeding practices.…”
Section: Discussionsupporting
confidence: 88%
“…The results from our study suggest that coefficients (Child factors: child age; household factors: wealth index; Maternal factors: number of antenatal care visits) were the key determinants of moderate and severe stunting reduction in Rwanda. The results from the current study agree with the outcome of studies conducted in Bangladesh and the Philippines which concluded that child‐related factors (age, sex, place of birth and vaccination status), Maternal (education, BMI, stature, media exposure and the number of children), and household (wealth index, family size and sanitation infrastructure) are essential determinants of stunting reduction (Ulep et al, 2021 ; Win et al, 2021 ). Furthermore, our study and those of others show that attainment of higher education among mothers increases their chances of access to knowledge of health education, leading to improved child feeding practices.…”
Section: Discussionsupporting
confidence: 88%
“…Of the two predictors classified in this factor, low micronutrient quality is the predictor that appears to provide the greatest increased risk of causing stunting, which is equal to 13% ( 33 ) . Although few studies have reported it, it was identified that vitamin D ( 19 ) , iodine ( 33 ) , iron ( 28 ) , and vitamin A ( 31 , 33 ) are micronutrients associated with stunting in Southeast Asia. This finding is also the same as that of another study on stunting in other middleand low-income countries ( 48 ) .…”
Section: Discussionmentioning
confidence: 99%
“…Women are also more likely to work part-time or take career breaks to care for children or ageing parents, which can impact their pension entitlements. This can lead to poverty and social exclusion in later life [ 47 , 49 ]. Mental health issues, such as depression, anxiety, and cognitive impairment, can also impact ageing experiences.…”
Section: Agingmentioning
confidence: 99%