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On selection of an appropriate logistic model to determine the risk factors of childhood stunting in Bangladesh.
- Source :
- Maternal & Child Nutrition; Jan2019, Vol. 15 Issue 1, pN.PAG-N.PAG, 1p
- Publication Year :
- 2019
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- PREVENTION of malnutition
AGE distribution
ANTHROPOMETRY
BIRTH intervals
CHI-squared test
CHILD development
CHILDREN'S health
CHILD nutrition
CONFIDENCE intervals
STATISTICAL correlation
GROWTH disorders
INFANT nutrition
MATERNAL age
NUTRITIONAL assessment
RISK assessment
STATISTICAL sampling
SEX distribution
LOGISTIC regression analysis
SOCIOECONOMIC factors
MAXIMUM likelihood statistics
RECEIVER operating characteristic curves
STATISTICAL models
NUTRITIONAL status
ODDS ratio
INTRACLASS correlation
Subjects
Details
- Language :
- English
- ISSN :
- 17408695
- Volume :
- 15
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Maternal & Child Nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 133739655
- Full Text :
- https://doi.org/10.1111/mcn.12636