Trends and long-term variation explaining nutritional determinants of child linear growth: analysis of Bangladesh Demographic and Health Surveys 1996-2018. Ahmed, K., T., Karimuzzaman, M., Afroz, S., Hossain, M., M., Huq, S., S., Abdulla, F., & Rahman, A. Public Health Nutrition, Cambridge University Press, 2023. doi abstract bibtex Objective:Examining the height-for-age z-score (HAZ) of 0-35 months children along with stunting prevalence to identify trends, changes, and available nutrition-sensitive and specific determinants that could help explain the long-term variation in child linear growth using successive Bangladesh Demographic and Health Surveys (BDHS) data from 1996 to 2018.Design:The BDHS pooled data is used for determining the key outcome variables HAZ, stunting, and severe stunting. Trends, kernel-weighted local polynomial smoothing illustrations, pooled multivariable Linear Probability Model (LPM), Ordinary Least Squares method (OLS), and regression decomposition were used.Participants:Mothers having 0-35 months children, the most critical age range for growth faltering.Results:The mean HAZ increased by 0.91(±1.53) with 0.041 annual average change, while the percentages of stunting (-26.63 ±0.54) and severe stunting (-21.12 ±0.48) showed a reduction with 1.21 and 0.96 average annual changes, respectively. The average HAZ improvement (0.42 ±1.56) in urban areas was less than the rural areas (1.16 ±1.44). Similar patterns followed for stunting and severe stunting. The prenatal doctor visits (3064.65%), birth in a medical facility (1054.32%), breastfeeding initiation (153.18%), and asset index (144.73%) demonstrated a huge change. The findings of OLS, PLS, and regression decomposition identified asset index, birth order, paternal and maternal education, bottle-fed, prenatal doctor visit, birth in a medical facility, vaccination, maternal BMI, and ever-breastfed as influencing factors to predict the long-term changes of stunting and severe stunting.Conclusion:The nutrition-sensitive and specific factors identified through regression decomposition describing long-term variation in child linear growth should be focused further to attain the sustainable development goals (SDGs).
@article{
title = {Trends and long-term variation explaining nutritional determinants of child linear growth: analysis of Bangladesh Demographic and Health Surveys 1996-2018},
type = {article},
year = {2023},
keywords = {Bangladesh,Infant and Child Nutrition,Linear Growth,Malnutrition,Regression-decompositions},
pages = {1-30},
publisher = {Cambridge University Press},
edition = {2023/10/27},
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created = {2023-11-06T09:24:34.607Z},
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abstract = {Objective:Examining the height-for-age z-score (HAZ) of 0-35 months children along with stunting prevalence to identify trends, changes, and available nutrition-sensitive and specific determinants that could help explain the long-term variation in child linear growth using successive Bangladesh Demographic and Health Surveys (BDHS) data from 1996 to 2018.Design:The BDHS pooled data is used for determining the key outcome variables HAZ, stunting, and severe stunting. Trends, kernel-weighted local polynomial smoothing illustrations, pooled multivariable Linear Probability Model (LPM), Ordinary Least Squares method (OLS), and regression decomposition were used.Participants:Mothers having 0-35 months children, the most critical age range for growth faltering.Results:The mean HAZ increased by 0.91(±1.53) with 0.041 annual average change, while the percentages of stunting (-26.63 ±0.54) and severe stunting (-21.12 ±0.48) showed a reduction with 1.21 and 0.96 average annual changes, respectively. The average HAZ improvement (0.42 ±1.56) in urban areas was less than the rural areas (1.16 ±1.44). Similar patterns followed for stunting and severe stunting. The prenatal doctor visits (3064.65%), birth in a medical facility (1054.32%), breastfeeding initiation (153.18%), and asset index (144.73%) demonstrated a huge change. The findings of OLS, PLS, and regression decomposition identified asset index, birth order, paternal and maternal education, bottle-fed, prenatal doctor visit, birth in a medical facility, vaccination, maternal BMI, and ever-breastfed as influencing factors to predict the long-term changes of stunting and severe stunting.Conclusion:The nutrition-sensitive and specific factors identified through regression decomposition describing long-term variation in child linear growth should be focused further to attain the sustainable development goals (SDGs).},
bibtype = {article},
author = {Ahmed, Khandaker Tanveer and Karimuzzaman, Md. and Afroz, Sabrina and Hossain, Md. Moyazzem and Huq, Syeda Shahanara and Abdulla, Faruq and Rahman, Azizur},
doi = {DOI: 10.1017/S1368980023002288},
journal = {Public Health Nutrition}
}
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