HUBUNGAN KECANDUAN SMARTPHONE TERHADAP INDEKS MASSA TUBUH REMAJA DI SURAKARTA
DOI:
https://doi.org/10.55606/jufdikes.v8i1.2012Keywords:
Adolescents, Body Massa Index, Smartphone AddictionAbstract
Gaya hidup remaja masa kini sangat erat kaitannya dengan penggunaan smartphone, di mana hampir seluruh remaja telah memiliki smartphone pribadi. Penggunaan smartphone yang tidak terkontrol berisiko menimbulkan kecanduan yang dapat berdampak negatif terhadap kualitas hidup remaja. Kondisi ini berdampak pada status gizi yang tidak normal pada remaja, diantaranya kekurangan berat badan (underweight) maupun kelebihan berat badan (overweight). Tujuan penelitian ini adalah mengetahui hubungan kecanduan smartphone terhadap Indeks Massa Tubuh. Desain penelitian ini cross sectional dengan sampel 242 remaja usia 15-18 tahun dan menggunaan teknik purposive sampling. Instrumen penelitian yang digunakan adalah Smartphone Addiction Scale-Short Version yang sudah diuji validitas dan reliabilitasnya dengan nilai cut off point kuesioner untuk laki-laki >31 dinyatakan kecanduan smartphone sedangkan untuk perempuan >33 dinyatakan kecanduan smartphone, selain itu dilakukan pengukuran IMT berdasarkan berat badan dan tinggi badan. Analisa data yang dilakukan menggunakan uji statistik Chi-Square dengan uji alternatif Fisher Extract melalui SPSS versi 25. Hasil yang diperoleh yaitu p-value (0,014 < 0,05) yang menunjukan terdapat hubungan antara kecanduan smartphone terhadap Indeks Massa Tubuh (IMT).
References
[1] J. C. Wang, C.-Y. Hsieh, and S.-H. Kung, “The impact of smartphone use on learning effectiveness: A case study of primary school students,” Educ Inf Technol (Dordr), vol. 28, no. 6, pp. 6287–6320, Jun. 2023, doi: 10.1007/s10639-022-11430-9.
[2] Y.-T. Sung, K.-E. Chang, and T.-C. Liu, “The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis,” Comput Educ, vol. 94, pp. 252–275, Mar. 2016, doi: 10.1016/j.compedu.2015.11.008.
[3] O. J. Sunday, O. O. Adesope, and P. L. Maarhuis, “The effects of smartphone addiction on learning: A meta-analysis,” Computers in Human Behavior Reports, vol. 4, p. 100114, Aug. 2021, doi: 10.1016/j.chbr.2021.100114.
[4] S. Kemp, “Digital 2026: Indonesia,” https://datareportal.com/reports/digital-2026-indonesia.
[5] S. Bursell, L. Brazionis, and A. Jenkins, “Telemedicine and ocular health in diabetes mellitus,” Clin Exp Optom, vol. 95, no. 3, pp. 311–327, May 2012, doi: 10.1111/j.1444-0938.2012.00746.x.
[6] L. M. Periman, L. E. O’Dell, and A. G. Sullivan, “Uncover patient lifestyle habits that lead to OSD.,” Optometry Times, vol. 8, no. 11, 2016.
[7] J. K. Portello, M. Rosenfield, Y. Bababekova, J. M. Estrada, and A. Leon, “Computer-related visual symptoms in office workers,” Ophthalmic and Physiological Optics, vol. 32, no. 5, pp. 375-382, Sep. 2012, doi: 10.1111/j.1475-313.2012.00925.X
[8] J. H. Choi et al., “The influences of smartphone use on the status of the tear film and ocular surface,” PLoS One, vol. 13, no. 10, p. e0206541, Oct. 2018, doi: 10.1371/journal.pone.0206541.
[9] K. Kaur et al., “Digital Eye Strain- A Comprehensive Review,” Ophthalmol Ther, vol. 11, no. 5, pp. 1655-1680, Oct. 2022, doi: 10.1007/s40123-022-00540-9.
[10] E. Abi-Jaoude, K. T. Naylor, and A. Pignatiello, “Smartphones, social media use and youth mental health,” Can Med Assoc J, vol. 192, no. 6, pp. E136-E141, Feb. 2020, doi: 10.1503/cmaj.190434.
[11] W. Lin, H. Liang, H. Jiang, M. A. Mohd Nasir, and H. Zhou, “Why is Smartphone Addiction More Common in Adolescents with Harsh Parenting? Depression and Experiential Avoidance‘s Multiple Mediating Roles,” Psychol Res Behav Manag, vol. Volume 16, pp. 4817-4828, Nov. 2023, doi: 10.2147/PRBM.S428167.
[12] A. Daei, H. Ashrafi-rizi, and M. R. Soleymani, “Nomophobia and Health Hazards: Smartphone Use and Addiction Among University Students,” Int J Prev Med, vol. 10, no. 1, Jan. 2019, doi: 10.4103/ijpvm.IJPVM-184-19.
[13] Y. Zou, N. Xia, Y. Zou, Z. Chen, and Y. Wen, “Smartphone addiction may be associated with adolescent hypertension: a cross-sectional study among junior school students in China,” BMC Pediatr, vol. 19, no. 1, p. 310, Dec. 2019, doi: 10.1186/s12887-019-1699-9.
[14] J. Zhu et al., “Smartphone addiction habit is positively associated with coronary artery disease and its severity in Chinese adults: a case-control study,” Front Cardiovasc Med, vol. 11, Aug. 2024, doi: 10.3389/fcvm.2024.1374797.
[15] P. Das, K. N. Saraswathy, and V. Chaudhary, “Prevalence of Smartphone Addiction and its Relationship with Obesity among Young Adults: A Cross-sectional Study from Delhi, India,” Indian Journal of Community Medicine, vol. 49, no. 3, pp. 544-548, May 2024, doi: 10.4103/ijcm.ijcm-288-23.
[16] R. Zhang, Q. Jiang, M. Cheng, and Y.-T. Rhim, “The effect of smartphone addiction on adolescent health: the moderating effect of leisure physical activities,” Psicologia: Reflexão e Crítica, vol. 37, no. 1, p. 23, Jun. 2024, doi: 10.1186/s41155-024-00308-z.
[17] R. Ma, K. Min, Z. Meng, J. Yang, H. Zhang, and Q. Li, “The mediating effects of smartphone addiction in the association between mental disorders and eating disorders: findings from a nationwide survey among Chinese youth,” BMC Public Health, vol. 25, no. 1, Dec. 2025, doi: 10.1186/s12889-025-23608-0.
[18] R. Sarfika, A. Wijaya, Z. M. Putri, and I. M. Moh. Y. Saifudin, “Smartphone addiction and adolescent mental health: a cross-sectional study in West Sumatra province,” International Journal of Public Health Science (IJPHS), vol. 13, no. 2, p. 521, Jun. 2024, doi: 10.11591/ijphs.v13i2.23318.
[19] S. M. Sawyer, P. S. Azzopardi, D. Wickremarathne, and G. C. Patton, “The age of adolescence,” Lancet Child Adolesc Health, vol. 2, no. 3, pp. 223-228, Mar. 2018, doi: 10.1016/S2352-4642(18)30022-1.
[20] C. H. Ting and Y. Y. Chen, “Smartphone addiction,” in Adolescent Addiction: Epidemiology, Assessment, and Treatment, Elsevier, 2020, pp. 215-240. doi: 10.1016/B978-0-12-818626-8.00008-6.
[21] J. A. Zierle Ghosh, Physiology, Body Mass Index. 2023.
[22] X. Zhao et al., “Long-term protective effects of physical activity and self-control on problematic smartphone use in adolescents: A longitudinal mediation analysis,” Ment Health Phys Act, vol. 26, p. 100585, Mar. 2024, doi: 10.1016/j.mhpa.2024.100585.
[23] A. Runacres et al., “Impact of the covid-19 pandemic on sedentary time and behaviour in children and adults: A systematic review and meta-analysis,” Nov. 01, 2021, MDPI. doi: 10.3390/ijerph182111286.
[24] M. K. Nambirajan et al., “Association between smartphone addiction and sedentary behaviour amongst children, adolescents and young adults: A Systematic Review and meta-analysis,” J Psychiatr Res, vol. 184, pp. 128-139, Apr. 2025, doi: 10.1016/j.jpsychires.2025.02.049.
[25] S. L. Wong, S. T. Leatherdale, and for Cdc, “Association Between Sedentary Behavior, Physical Activity, and Obesity: Inactivity Among Active Kids.” [Online]. Available: http://www.cdc.gov/pcd/issues/2009/jan/07_0242.htm.Accessed[date].
[26] A. Sela, N. Rozenboim, and H. C. Ben-Gal, “Smartphone use behavior and quality of life: What is the role of awareness?,” PLoS One, vol. 17, no. 3, p. e0260637, Mar. 2022, doi: 10.1371/journal.pone.0260637.
[27] Z. Geng and R. Liu, “The impact of smartphone addiction and negative emotions on parent-child relationships among elementary school students,” Front Psychiatry, vol. 16, Jun. 2025, doi: 10.3389/fpsyt.2025.1582741.
[28] E. Vagka, C. Gnardellis, A. Lagiou, and V. Notara, “Prevalence and Factors Related to Nomophobia: Arising Issues among Young Adults,” Eur J Investig Health Psychol Educ, vol. 13, no. 8, pp. 1467-1476, Aug. 2023, doi: 10.3390/ejihpe13080107.
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