A Robust Feature Selection Analysis of Early Childhood Development Predictors in Thailand Using Stability Selection Early Childhood Development Predictor Selection Using Stability Selection

Main Article Content

Saengrawee Sutas
Wasurut Ployluan
Thanaporn Patikorn

Abstract

Early identification of developmental delays is critical for timely intervention. However, the specialized training and time required for frequent professional evaluations create a high clinical demand. This highlights the need for proxy predictors, features that are strong predictors of developmental delays that are also easily observable by caregivers, which can act as early triggers for professional referral. This study aimed to identify robust clinical and environmental predictors of suspected developmental delay across five DSPM domains and overall development among children in Chonburi, Thailand. Using a cross-sectional dataset (N=300) with 243 engineered features, a two-stage statistical pipeline was employed: (1) Stability Selection (100 iterations, 50% subsampling) to identify variables with a selection frequency ≥ 0.50; and (2) Non-parametric Bootstrapping (1,000 iterations) with multivariate logistic regression to calculate Median Odds Ratios (OR) and 95% Confidence Intervals (CI). Dental plaque emerged as a primary predictor, significantly increasing the risk for overall developmental delay (OR = 5.36) and linguistic delays. Other stable risk factors included starting electronic media between ages 2.0–2.9 years (OR = 6.95), a history of childhood pneumonia (OR = 5.96), and receiving the DSPM manual only during vaccination visits (OR = 5.47). Conversely, avoiding electronics (OR = 0.29) and proactive DSPM utilization (OR = 0.30) were significant protective factors for expressive language. No stable predictors reached the threshold for motor or social domains. Findings emphasize the sentinel role of caretakers’ health literacy, oral health, and digital hygiene in developmental screening. Poor oral health, early digital device usage, and lack of health literacy through DSPM are proxy predictors for developmental delay, while caretakers’ health literacy through utilization of DSPM and avoiding usage of electronic devices lowers the likelihood of developmental delay. Pediatric nursing interventions should prioritize caretakers’ health literacy and shift from reactive to proactive DSPM utilization to improve developmental outcomes.

Article Details

How to Cite
Sutas, S., Ployluan, W., & Patikorn, T. (2026). A Robust Feature Selection Analysis of Early Childhood Development Predictors in Thailand Using Stability Selection: Early Childhood Development Predictor Selection Using Stability Selection. International Journal of Child Development and Mental Health, 14(1), 53–66. retrieved from https://he01.tci-thaijo.org/index.php/cdmh/article/view/287280
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Original Articles

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