| Analyzing determinants from both compositional and contextual level impeding desired linear growth of children in Indian context |
| Authors: |
Tamal Basu Roy, Tanu Das, Partha Das and Priya Das |
| Source: |
BMC Nutrition, 9 |
| Topic(s): |
Child feeding
Child health
Data models
Nutrition
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| Country: |
Asia
India
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| Published: |
JUN 2023 |
| Abstract: |
Childhood stunting is recognized as significant public health concern in India. It is a form of malnutrition with impaired linear growth and creates a range of adversaries among children, including under-5 mortality, morbidity, and physical and cognitive growth. The purpose of the present study was to recognize the various leading determinants causing childhood stunting from both individual and contextual level in Indian context. Data were obtained from the India’s Demography and Health Survey (DHS) conducted in 2019–2021. A total of 1, 46,521 children aged 0–59 months were included in this present study. The study applied a multilevel mixed-effect logistic regression model in which individual factors nested within community based contextual-level factors estimating the likelihood of childhood stunting phenomena among Indian children. The variance explained in full model accounted for about 35.8% of the odds of stunting across the communities. The present study elucidates that the recognized factors from individual level characteristics have really increased the odds of childhood stunting: gender of child, multiple births, low birth weight, low BMI among mothers, less educational attainment by mothers, maternal anemic status, breast feeding duration longer than usual,?
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| Web: |
https://bmcnutr.biomedcentral.com/articles/10.1186/s40795-023-00725-w |
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