Application of quantile regression to examine changes in the distribution of Height for Age (HAZ) of Indian children aged 0-36 months using four rounds of NFHS data

The prevalence of stunting among under- three Indian children though decreased, still it is considered to be alarmingly high. In most of the previous studies, traditional (linear and logistic) regression analyses were applied. They were limited to encapsulated cross-distribution variations. The obje...

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Bibliographic Details
Published in:PloS one 2022-05, Vol.17 (5), p.e0265877-e0265877
Main Authors: Mokalla, Thirupathi Reddy, Rao Mendu, Vishnu Vardhana
Format: Article
Language:English
Subjects:
Age
Age composition
Asians
Biology and Life Sciences
Body Height
Body Mass Index
Care and treatment
Child
Children
Children & youth
Childrens health
Demographics
Demography
Diagnosis
Economic analysis
Evaluation
Families & family life
Female
Growth Disorders - epidemiology
Health risks
Health surveys
Heat affected zone
Heterogeneity
Humans
Male
Malnutrition
Malnutrition in children
Medicine and Health Sciences
Nutrition
Nutritional status
People and Places
Population
Public health
Public health administration
Quantiles
Regression analysis
Response rates
Risk factors
Socioeconomic factors
Socioeconomics
Standard deviation
Teaching Rounds
Trends
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Summary:The prevalence of stunting among under- three Indian children though decreased, still it is considered to be alarmingly high. In most of the previous studies, traditional (linear and logistic) regression analyses were applied. They were limited to encapsulated cross-distribution variations. The objective of the current study was to examine how the different determinants were heterogeneous in various percentiles of height for age (HAZ) distribution. This article examined the change in the HAZ distribution of children and examined the relationships between the key co-variate trends and patterns in HAZ among children aged
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0265877