Quantile regression approach to estimating prevalence and determinants of child malnutrition.

Aim: Child malnutrition is also associated with higher incidence of morbidity and mortality. Therefore, it is imperative to have knowledge of its correlates and determinants. The objective of this paper is to examine the association between demographic and socioeconomic factors and child nutritional...

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Published in:Journal of Public Health: From Theory to Practice (2198-1833) Vol. 30; no. 2; pp. 323 - 340
Main Authors: Rahman, Azizur, Hossain, Md. Moyazzem
Format: Article
Published: Springer Nature Feb2022
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Feb2022
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      pub: Springer Nature
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        154713307
        10.1007/s10389-020-01277-0
      ppf: 323
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      tig:
        atl: Quantile regression approach to estimating prevalence and determinants of child malnutrition.
      aug:
        au:
          Rahman, Azizur
          Hossain, Md. Moyazzem
        affil:
          Data Science Research Unit, School of Computing and Mathematics, Charles Sturt University, 2678, Wagga Wagga, NSW, Australia
          School of Mathematics, Statistics and Physics, Newcastle University, Newcastle, UK
          Department of Statistics, Jahangirnagar University, Dhaka, Savar, Bangladesh
      su:
        Bangladesh
        Social determinants of health
        Anthropometry
        Socioeconomic factors
        Malnutrition
        Nutritional status
        Educational attainment
        Disease risk factors
        Children
        Regression analysis
        Surveys
        Disease prevalence
        Body mass index
        Secondary analysis
      sug:
        subj:
          Social determinants of health
          Anthropometry
          Socioeconomic factors
          Malnutrition
          Nutritional status
          Educational attainment
          Disease risk factors
          Children
          Bangladesh
          Regression analysis
          Surveys
          Disease prevalence
          Body mass index
          Secondary analysis
      keyword:
        Anthropometric indicators
        Quantile regression
        Socio-economic factors
        Anthropometric indicators
        Quantile regression
        Socio-economic factors
      ab: Aim: Child malnutrition is also associated with higher incidence of morbidity and mortality. Therefore, it is imperative to have knowledge of its correlates and determinants. The objective of this paper is to examine the association between demographic and socioeconomic factors and child nutritional status in Bangladesh. Subject and methods: A secondary data analysis was conducted using the 2014 Bangladesh Demographic and Health Survey data. The surveys used a stratified two-stage cluster sampling. In the first stage, 600 enumeration areas (EAs) were selected with probability proportional to the EA size. In the second stage of selection, a fixed number of 30 households per cluster will be selected with an equal probability systematic selection from the household listing. The sample constitutes 17,886 ever-married women age 15–49, with 34.38% and 65.62% from urban and rural areas respectively. The anthropometric indicators height-for-age, weight-for-age and weight-for-height z-scores were used as the primary and secondary outcome measures. Results: Results show that age and birth order of child is negatively associated with height-for-age, weight-for-age, and weight-for-height z-scores. However, the size of the child at birth is positively allied with the three anthropometric indicators. Mothers' BMI and educational level are positively connected with the nutrition z-scores, but these factors have differential effects at different points of the conditional distribution of the anthropometric z-scores. Moreover, the economic status of a family is an essential factor in determining the z-score of height-for-age, weight-for-age, and weight-for-height of a child. Conclusion: The age, size of child at birth, mother's BMI and educational status, and wealth index are very important determinants of the z-score of the anthropometric indicators of a child. In order to improve the nutritional status of children in Bangladesh, the authors suggest that a joint effort by the government, non-governmental organizations, and the community is absolutely essential.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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