Correlation Between Screen Time and Levels of Physical Activity and Health Indicators Among Adolescents at SMAN 2 Palangka Raya

Authors

  • Siskaevia Siskaevia University of Palangka Raya
  • Zuly Daima Ulfa University of Palangka Raya
  • Uswatun Hasanah University of Palangka Raya
  • Garry William Dony University of Palangka Raya
  • Yossita Wisman University of Palangka Raya
  • Abdullah Abdullah University of Palangka Raya
  • Iwan Noor Alamsyah University of Palangka Raya
  • Bernisa Bernisa University of Palangka Raya
  • Cahyo Nugroho Sigit University of Malang

DOI:

https://doi.org/10.29408/porkes.v9i1.32749

Keywords:

Health indicators; level of physical activity; screen time.

Abstract

Introduction: The high ownership of smartphones among teenagers in Central Kalimantan, supported by increasingly widespread internet penetration, indicates the intense use of digital technology in everyday life. A national survey reveals that the majority of adolescents have a screen time of more than 3 hours per day, reflecting the dominance of screen-based activities. This condition has the potential to encourage a shift from healthy lifestyles towards sedentary lifestyles. Methods : This study is a correlational study with a cross-sectional approach in July-August 2025 involving 151 students from SMAN 2 Palangka Raya using simple random sampling. The inclusion criteria used were students of SMAN 2 Palangka Raya aged 14-17 years who had provided informed consent. Instruments used included the Screen Time Questionnaire, International Physical Activity Questionnaire, Pittsburgh Sleep Quality Index, Patient Health Questionnaire Adolescent, BMI measurement sheet, and blood pressure recording. Then, the type of data used was ordinal, which was analyzed using Somers' d, with SPSS version 25. Results: There was a significant relationship between sleep quality p (0.000 <0.05), d (-0.181), mental health p (0.003<0.05), d (0.199), and BMI p (0.032 < 0.05), d (0.161). Meanwhile, no significant relationship was found in other variables (p > 0.05). Conclusion: School-based interventions and school–parent collaboration are needed to promote balanced digital use, healthy sleep habits, and physical activity among students. This study is limited by its cross-sectional design, self-reported data, and small single-school sample, which restrict causal inference and generalizability.

References

Andriyani, F. D., Biddle, S. J. H., Arovah, N. I., & de Cocker, K. (2020). Physical Activity and Sedentary Behavior Research in Indonesian Youth: A Scoping Review. International Journal of Environmental Research and Public Health, 17(20), 1–15. https://doi.org/10.3390/ijerph17207665

Badan Pusat Statistik. (2025). Statistik Telekomunikasi Indonesia 2024.

Bakour, C., Mansuri, F., Johns-Rejano, C., Crozier, M., Wilson, R., & Sappenfield, W. (2022). Association Between Screen Time and Obesity in US Adolescents: A Cross-Sectional Analysis Using National Survey of Children’s Health 2016-2017. PLoS ONE, 17(12 December), 1–13. https://doi.org/10.1371/journal.pone.0278490

Buctot, D. B., Kim, N., & Kim, J. J. (2020). Factors Associated with Smartphone Addiction Prevalence and its Predictive Capacity for Health-Related Quality of Life Among Filipino Adolescents. Children and Youth Services Review, 110(1), 104758. https://doi.org/10.1016/j.childyouth.2020.104758

Celis-Morales, C. A., Lyall, D. M., Steell, L., Gray, S. R., Iliodromiti, S., Anderson, J., Mackay, D. F., Welsh, P., Yates, T., Pell, J. P., Sattar, N., & Gill, J. M. R. (2018). Associations of Discretionary Screen Time With Mortality, Cardiovascular Disease and Cancer Are Attenuated by Strength, Fitness and Physical Activity: Findings from the UK Biobank study. BMC Medicine, 16(1), 1–14. https://doi.org/10.1186/s12916-018-1063-1

Chen, Y. Q., Huang, X. J., Yang, F., Yang, J. J., Zhong, J., Yao, K. M., Kuang, J. X., & Xu, M. Z. (2024). A Chinese Adaptation of the Patient Health Questionnaire for Adolescents (PHQ-A): Factor Structure and Psychometric Properties. BMC Psychiatry, 24(1), 1–8. https://doi.org/10.1186/s12888-024-05783-3

Deng, G. F., Wen, Y., Cheng, J., Huang, B., & Liu, N. (2024). Analysis of the Associations Between Moderate-To-Vigorous Physical Activity and Screen Time on Psychological Symptoms Among University Students: a Cross-Sectional Survey Based on six Geographic Regions in China. BMC Psychiatry, 24(1), 1–13. https://doi.org/10.1186/s12888-024-05945-3

Farhangi, M. A., Azar, E. F., Manzouri, A., Rashnoo, F., & Shakarami, A. (2023). Prolonged Screen Watching Behavior is Associated With High Blood Pressure Among Children and Adolescents: a Systematic Review and Dose–Response Meta-Analysis. Journal of Health, Population and Nutrition, 42(1), 1–17. https://doi.org/10.1186/s41043-023-00437-8

Haghjoo, P., Siri, G., Soleimani, E., Farhangi, M. A., & Alesaeidi, S. (2022). Screen Time Increases Overweight and Obesity Risk Among Adolescents: a Systematic Review and Dose-Response Meta-Analysis. BMC Primary Care, 23(1), 1–24. https://doi.org/10.1186/s12875-022-01761-4

Hisler, G., Twenge, J. M., & Krizan, Z. (2020). Associations between screen time and Short Sleep Duration Among Adolescents Varies by Media Type: Evidence From a Cohort Study. Sleep Medicine, 66, 92–102. https://doi.org/10.1016/j.sleep.2019.08.007

Hosker, D. K., Elkins, R. M., & Potter, M. P. (2019). Promoting Mental Health and Wellness in Youth Through Physical Activity, Nutrition, and Sleep. Child and Adolescent Psychiatric Clinics of North America, 28(2), 171–193. https://doi.org/10.1016/j.chc.2018.11.010

Islami, S. N., Yanti, R., & Hariati, N. W. (2023). Screen Time dan Aktivitas Fisik dengan Asupan Energi pada Remaja Obesitas. Jurnal Keperawatan Profesional (KEPO), 4(2), 88–95. https://doi.org/10.36590/kepo.v4i2.685

Jusienė, R., Breidokienė, R., Baukienė, E., & Rakickienė, L. (2025). Emotional Reactivity and Behavioral Problems in Preschoolers: The Interplay of Parental Stress, Media-Related Coping, and Child Screen Time. Children, 12(2). https://doi.org/10.3390/children12020188

Mineshita, Y., Kim, H. K., Chijiki, H., Nanba, T., Shinto, T., Furuhashi, S., Oneda, S., Kuwahara, M., Suwama, A., & Shibata, S. (2021). Screen Time Duration and Timing: Effects on Obesity, Physical Activity, Dry Eyes, and Learning Ability in Elementary School Children. BMC Public Health, 21(1). https://doi.org/10.1186/s12889-021-10484-7

Mukhtar, S., Zubair, R., Masroor, S., Jaffar, S., Anjum, A., & Naqvi, S. (2023). Effect of Screen-Time on Obesity: a Cross-Sectional Study. Pakistan Journal of Public Health, 13(2), 75–79. https://doi.org/10.32413/pjph.v13i2.1114

Naing, L., Hassen, S., Sharbini, S., Murang, Z. R., Teo, N., & Tahir, Z. M. (2024). The Relationship Between the use of Screen-Based Devices and Self-Reported Sleep Quality in Adolescents Aged 13–19 Years in Brunei. BMC Public Health, 24(1). https://doi.org/10.1186/s12889-024-20453-5

Namlı, S., Çar, B., Kurtoğlu, A., Yılmaz, E., Tekkurşun Demir, G., Güvendi, B., Batu, B., & Aldhahi, M. I. (2025). The Relationship Between Smartphone and Game Addiction, Leisure Time Management, and the Enjoyment of Physical Activity: A Comparison of Regression Analysis and Machine Learning Models. Healthcare, 13(15), 1805. https://doi.org/10.3390/healthcare13151805

Rahayu, A., Sumaryanti, S., & Arovah, N. I. (2022). The Validity and Reliability of the Physical Activity Questionnaires (PAQ-A) among Indonesian Adolescents during Online and Blended Learning Schooling. Physical Education Theory and Methodology, 22(2), 173–179. https://doi.org/10.17309/tmfv.2022.2.04

Santos, R. M. S., Ventura, S. de A., Nogueira, Y. J. de A., Mendes, C. G., Paula, J. J. de, Miranda, D. M., & Romano-Silva, M. A. (2024). The Associations Between Screen Time and Mental Health in Adults: A Systematic Review. Journal of Technology in Behavioral Science, 1–21. https://doi.org/10.1007/s41347-024-00398-7

Setiawati, F. S., Mahmudiono, T., Ramadhani, N., & Hidayati, K. F. (2019). Intensitas Penggunaan Media Sosial, Kebiasaan Olahraga, dan Obesitas pada Remaja di SMA Negeri 6 Surabaya Tahun 2019. Jurnal Amerta Nutrition, 3(3), 142. https://doi.org/10.20473/amnt.v3i3.2019.142-148

Setyowati, A., & Chung, M. (2021). Validity and Reliability of the Indonesian Version of the Pittsburgh Sleep Quality Index in Adolescents. International Journal of Nursing Practice, 27(5). https://doi.org/10.1111/ijn.12856

Stabouli, S., Antza, C., Vareta, G., Efstratiadou, M., Sideras, L., & Kotsis, V. (2022). Screen Time and Blood Pressure in Children and Adolescents: The Role of Obesity. Biomedical Journal of Scientific & Technical Research, 45(5), 36941–36948. https://doi.org/10.26717/BJSTR.2022.45.007278

Syilvani, S., Sukaesih, N. S., & Ningrum, D. (2024). Durasi Screen Time dengan Gangguan Tidur Remaja. Jurnal Keperawatan Profesional (KEPO), 5(1), 70–77. https://doi.org/10.36590/kepo.v5i1.941

WHO. (2021). WHO Guideline: Physical Activity, Sedentary Behavior and Sleep for Children under 5 Years of Age. WHO. https://doi.org/10.1055/a-1489-8049

Wibowo, C., Nopiyanto, Y. E., Kinasih, A., & Kombong, A. R. (2025). Screen Time, Physical Activity, and VO₂Max in Indonesian Vocational School Adolescents (aged 15 – 17) A Cross-Sectional Study. Indonesian Journal of Research in Physical Education, Sport, and Health, 3(2), 62–71. https://journal-fik.um.ac.id/index.php/ijrpesh/article/view/226

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Published

2026-02-22

How to Cite

Siskaevia, S., Ulfa, Z. D., Hasanah, U., Dony, G. W., Wisman, Y., Abdullah , A., … Sigit , C. N. (2026). Correlation Between Screen Time and Levels of Physical Activity and Health Indicators Among Adolescents at SMAN 2 Palangka Raya. Jurnal Porkes, 9(1), 160–171. https://doi.org/10.29408/porkes.v9i1.32749