Baiq Devinta Putri Syafira
Program Studi Kedokteran, Fakultas Kedokteran, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia

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Predictors of Cognitive Function in School Children: Screen Time, Nutritional Status and Pneumonia Melly Kristanti; Isniani Ramdhani; Yosha Putri Wahyuni; Faiz Isra Rizqie; Khairunnisa Khairunnisa; Baiq Devinta Putri Syafira; Nyimas Fathiya Muthmainnah; Dina Varisiya; Ayudya Anjani
Jurnal Ilmiah Kesehatan (JIKA) Vol. 8 No. 2 (2026): Volume 8 Nomor 2 Agustus 2026
Publisher : Sarana Ilmu Indonesia (Salnesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36590/jika.v8i2.1990

Abstract

Cognitive development and intelligence of children are shaped by multifactorial influences, including genetic predisposition, environmental conditions, nutritional status, cognitive stimulation, educational exposure, and overall health status. The average Intelligence Quotient (IQ) of the Indonesian population is 89.96, which is categorized within the average range at the global level. This study aims to identify significant risk factors associated with lower cognitive function in children and to determine the optimal risk score threshold. A cross-sectional analytical study was conducted involving 80 school-aged children selected through simple random sampling. IQ was measured using the CFIT administered by child psychologists, while nutritional status was assessed BMI-for-age (BMI/U) criteria. This research we used logistic regression modeling to identify significant determinants, followed by ROCcurve analysis, Youden Index calculation, and risk score estimation—derived from the ratio of each significant predictor to the smallest significant coefficient. The result significant association is screen time (PR=5,23; 95% CI:1,49–18,29), history of pneumonia (PR=3,92; 95% CI:1,13–13,68), and poor nutritional status (PR=4,03; 95% CI:1,34–12,11). The predictive model showed an Area Under the Curve (AUC) of 0.794, with a Youden Index threshold of 2 (0,630–0,882), indicating the cut-off point for increased risk of lower intelligence in children. Screen time, a history of pneumonia, and poor nutritional status were identified as key predictors of lower cognitive function, with a risk score of  ≥ 2 as the threshold. Parental control over digital exposure and the reinforcement of preventive health behaviors are essential components in improving children’s cognitive outcomes.