Jurnal Ilmiah Kesehatan (JIKA)
Vol. 8 No. 2 (2026): Volume 8 Nomor 2 Agustus 2026

Predictors of Cognitive Function in School Children: Screen Time, Nutritional Status and Pneumonia

Melly Kristanti (Program Studi Kedokteran, Departemen Ilmu Kesehatan Masyaarakat, Fakultas Kedokteran Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia)
Isniani Ramdhani (Program Studi Kedokteran, Departemen Etik Medikolegal, Fakultas Kedokteran Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia)
Yosha Putri Wahyuni (Program Studi Kedokteran, Departemen Ilmu Biologi, Fakultas Kedokteran Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia)
Faiz Isra Rizqie (Program Studi Kedokteran, Fakultas Kedokteran, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia)
Khairunnisa Khairunnisa (Program Studi Kedokteran, Fakultas Kedokteran, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia)
Baiq Devinta Putri Syafira (Program Studi Kedokteran, Fakultas Kedokteran, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia)
Nyimas Fathiya Muthmainnah (Program Studi Kedokteran, Fakultas Kedokteran, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia)
Dina Varisiya (Program Studi Kedokteran, Departemen Ilmu Biologi, Fakultas Kedokteran Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia)
Ayudya Anjani (Program Studi Kedokteran, Departemen Ilmu Biologi, Fakultas Kedokteran Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia)



Article Info

Publish Date
02 Aug 2026

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.

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Journal Info

Abbrev

jika

Publisher

Subject

Health Professions Medicine & Pharmacology Nursing Public Health

Description

Jurnal Ilmiah Kesehatan (JIKA) aims to provide forum exchanges and interfaces between researchers and related practitioners in the field of health. The journal only accepts articles from original research results (top priorities), case study articles (not priorities), and scientific studies of ...