1. Spatio-temporal modeling to identify factors associated with stunting in Indonesia using a Modified Generalized Lasso.
- Author
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Rahardiantoro S, Juhanda ARN, Kurnia A, Aswi A, Sartono B, Handayani D, Soleh AM, Yanti Y, and Cramb S
- Subjects
- Indonesia epidemiology, Humans, Prevalence, Female, Child, Preschool, Infant, Low Birth Weight, Male, Poverty statistics & numerical data, Infant, Breast Feeding statistics & numerical data, Sanitation, Socioeconomic Factors, Risk Factors, Growth Disorders epidemiology, Spatio-Temporal Analysis
- Abstract
This study investigates the factors associated with stunting prevalence in Indonesia, utilizing a generalized lasso framework with modified penalty matrices to accommodate spatio-temporal data structures. Novel approaches are introduced to construct the penalty matrices, with particular focus on defining neighborhood structures. The proposed method is applied to data from 34 Indonesian provinces, covering the years 2019 to 2023. The primary outcome is stunting prevalence, modeled against nine predictor variables: poverty, exclusive breastfeeding, low birth weight (LBW), high school completion, access to proper sanitation, unmet health service needs, Gross Domestic Product (GDP), calorie consumption, and protein consumption. A total of nine spatio-temporal models were compared, including a modified generalized lasso with three distinct penalty matrices for each two tuning selection methods and a generalized ridge regression with three penalty matrices. Results indicate that the generalized lasso model with a 3-nearest neighbor adjacency matrix outperformed the alternatives. Temporal variations were observed in the effects of exclusive breastfeeding, LBW, high school completion, and unmet health service needs. Positive associations with stunting prevalence were identified for poverty, exclusive breastfeeding, LBW, and unmet health service needs, while negative associations were found for high school completion rates, access to proper sanitation, GDP, calorie intake, and protein consumption. The strongest associations were observed in parts of Sumatra, Sulawesi, and Jakarta. These findings suggest that government interventions aimed at improving education, healthcare access, and poverty reduction may help alleviate stunting in Indonesia, particularly in regions with the greatest need., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Septian Rahardiantoro reports financial support was provided by Indonesian Endowment Fund for Education. Susanna Cramb reports financial support was provided by Australian National Health and Medical Research Council. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Published
- 2024
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