On selection of an appropriate logistic model to determine the risk factors of childhood stunting in B angladesh

Datos Bibliográficos

ID15535486
AutoresKakoli Rani Bhowmik (0000-0002-9338-0860, Hasselt University, autor de correspondencia), Sumonkanti Da (0000-0003-1560-2349, Shahjalal University of Science and Technology)
Año2018
Volumen15
Número1
Páginase12636-e12636
Fecha de publicación2018-07-23
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaMaternal and Child Nutrition (JOURNAL)
Identificadores de la revistaISSN: 1740-8695 • E-ISSN: 1740-8709
EditorialWiley (PUBLISHER • GB)
DOI10.1111/mcn.12636
PMID30033556
OpenAlexW2883603964
IdiomaEN
Citas recibidas6
Referencias citadas36

Stunting is the core measure of child health inequalities as it reveals multiple dimensions of child health and development status. The main focus of this study is to show the procedure of selecting the most appropriate logistic regression model for stunting by developing and comparing several plausible models, which ultimately helps to identify the predictors of childhood stunting in Bangladesh. This study utilizes child anthropometric data collected in the 2014 Bangladesh Demographic and Health Survey. Valid height-for-age anthropometric indices were available for a total of 6,931 children aged 0-59 months, of which about 36% were stunted. Ordinary logistic, survey logistic, marginal logistic, and random intercept logistic regression models were developed assuming independence, sampling design, cluster effect, and hierarchy of the data. Based on a number of model selection criteria, random intercept logistic model is found the most appropriate for the studied children. A number of child, mother, household, regional, and community-level variables were included in the model specification. The factors that increased the odds of stunting are children older than 11 months, short birth interval, recent morbidity of children, lower maternal education, young maternity, lower maternal body mass index, poor household wealth, urban residential place, and living in Sylhet division. Findings of this study recommend to utilize an appropriate logistic model considering the issues relevant to the data, particularly sampling design and clustering for determining the risk factors of childhood stunting in Bangladesh

Anthropometry · Cluster (spacecraft · Environmental health · Logistic regression · Multistage sampling · Odds · Odds ratio · Child Nutrition and Water Access · Demography · Food Security and Health in Diverse Populations · Medicine · Poverty, Education, and Child Welfare