Insomnia Status of Middle School Students in Indonesia and Its Association with Playing Games before Sleep: Gender Difference
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants and Sampling Procedures
2.2. The Exposure Variable and Outcome Variable
2.3. Other Independent Variables
2.4. Statistical Analysis
3. Results
4. Discussion
Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Post, T.A. The Gaming Explosion in Southeast Asia. 2020. Available online: https://theaseanpost.com/article/gaming-explosion-southeast-asia (accessed on 11 October 2020).
- Statista, Mobile Games: Core Country Data Based In-Depth Analysis. Indonesia. 2020. Available online: https://www.statista.com/outlook/211/120/mobile-games/indonesia (accessed on 14 October 2020).
- APJII. Indonesian Internet User Profiles (Profil Pengguna Internet Indonesia). 2016. Available online: https://apjii.or.id/downfile/file/surveipenetrasiinternet2016.pdf (accessed on 11 October 2020).
- Feng, J.; Spence, I.; Pratt, J. Playing an action video game reduces gender differences in spatial cognition. Psychol. Sci. 2007, 18, 850–855. [Google Scholar] [CrossRef]
- Subrahmanyam, K.; Greenfield, P.M. Effect of video game practice on spatial skills in girls and boys. J. Appl. Dev. Psychol. 1994, 15, 13–32. [Google Scholar] [CrossRef]
- Phillips, C.A.; Rolls, S.; Rouse, A.; Griffiths, M.D. Home video game playing in schoolchildren: A study of incidence and patterns of play. J. Adolesc. 1995, 18, 687–691. [Google Scholar] [CrossRef]
- Trepte, S.; Reinecke, L.; Juechems, K. The social side of gaming: How playing online computer games creates online and offline social support. Comput. Hum. Behav. 2012, 28, 832–839. [Google Scholar] [CrossRef]
- Desai, R.A.; Krishnan-Sarin, S.; Cavallo, D.; Potenza, M.N. Video-gaming among high school students: Health correlates, gender differences, and problematic gaming. Pediatrics 2010, 126, e1414–e1424. [Google Scholar] [CrossRef] [Green Version]
- Park, H.S.; Kim, S.H.; Bang, S.A.; Yoon, E.J.; Cho, S.S.; Kim, S.E. Altered regional cerebral glucose metabolism in internet game overusers: A 18 F-fluorodeoxyglucose positron emission tomography study. CNS Spectr. 2010, 15, 159–166. [Google Scholar] [CrossRef]
- Hysing, M.; Pallesen, S.; Stormark, K.M.; Lundervold, A.J.; Sivertsen, B. Sleep patterns and insomnia among adolescents: A population-based study. J. Sleep Res. 2013, 22, 549–556. [Google Scholar] [CrossRef]
- King, D.L.; Gradisar, M.; Drummond, A.; Lovato, N.; Wessel, J.; Micic, G.; Douglas, P.; Delfabbro, P. The impact of prolonged violent video-gaming on adolescent sleep: An experimental study. J. Sleep Res. 2013, 22, 137–143. [Google Scholar] [CrossRef]
- Lam, L.T. Internet gaming addiction, problematic use of the internet, and sleep problems: A systematic review. Curr. Psychiatry Rep. 2014, 16, 444. [Google Scholar] [CrossRef]
- Lin, P.-H.; Lee, Y.-C.; Chen, K.-L.; Hsieh, P.-L.; Yang, S.-Y. The Relationships between sleep quality and internet addiction among female college students. Front. Neurosci. 2019, 13, 599. [Google Scholar] [CrossRef] [Green Version]
- Munezawa, T.; Kaneita, Y.; Osaki, Y.; Kanda, H.; Minowa, M.; Suzuki, K.; Higuchi, S.; Mori, J.; Yamamoto, R.; Ohida, T. The association between use of mobile phones after lights out and sleep disturbances among Japanese adolescents: A nationwide cross-sectional survey. Sleep 2011, 34, 1013–1020. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rehbein, F.; Psych, G.; Kleimann, M.; Mediasci, G.; Mößle, T. Prevalence and risk factors of video game dependency in adolescence: Results of a German nationwide survey. Cyberpsychol. Behav. Soc. Netw. 2010, 13, 269–277. [Google Scholar] [CrossRef] [PubMed]
- Mei, X.; Zhou, Q.; Li, X.; Jing, P.; Wang, X.; Hu, Z. Sleep problems in excessive technology use among adolescent: A systemic review and meta-analysis. Sleep Sci. Pract. 2018, 2, 9. [Google Scholar] [CrossRef]
- O’Brien, L.M.; Gozal, D. Neurocognitive dysfunction and sleep in children: From human to rodent. Pediatric Clin. 2004, 51, 187–202. [Google Scholar] [CrossRef]
- Roth, T. Insomnia: Definition, prevalence, etiology, and consequences. J. Clin. Sleep Med. 2007, 3, S7–S10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Spiegel, K.; Tasali, E.; Penev, P.; Cauter, E.V. Brief communication: Sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Ann. Intern. Med. 2004, 141, 846–850. [Google Scholar] [CrossRef]
- Kuss, D.J.; Griffiths, M.D.; Binder, J.F. Internet addiction in students: Prevalence and risk factors. Comput. Hum. Behav. 2013, 29, 959–966. [Google Scholar] [CrossRef] [Green Version]
- Roberts, R.E.; Duong, H.T. The prospective association between sleep deprivation and depression among adolescents. Sleep 2014, 37, 239–244. [Google Scholar] [CrossRef] [Green Version]
- Colwell, J.; Kato, M. Investigation of the relationship between social isolation, self-esteem, aggression and computer game play in Japanese adolescents. Asian J. Soc. Psychol. 2003, 6, 149–158. [Google Scholar] [CrossRef]
- Chen, B.; Liu, F.; Ding, S.; Ying, X.; Wang, L.; Wen, Y. Gender differences in factors associated with smartphone addiction: A cross-sectional study among medical college students. BMC Psychiatry 2017, 17, 341. [Google Scholar] [CrossRef] [Green Version]
- Lange, K.; Cohrs, S.; Skarupke, C.; Görke, M.; Szagun, B.; Schlack, R. Electronic media use and insomnia complaints in German adolescents: Gender differences in use patterns and sleep problems. J. Neural Transm. 2017, 124, 79–87. [Google Scholar]
- Yang, S.-Y.; Lin, C.-Y.; Huang, Y.-C.; Chang, J.-H. Gender differences in the association of smartphone use with the vitality and mental health of adolescent students. J. Am. Coll. Health 2018, 66, 693–701. [Google Scholar] [PubMed]
- Griffiths, M.D.; Davies, M.N.; Chappell, D. Online computer gaming: A comparison of adolescent and adult gamers. J. Adolesc. 2004, 27, 87–96. [Google Scholar] [CrossRef]
- Smahel, D.; Blinka, L.; Ledabyl, O. Playing MMORPGs: Connections between addiction and identifying with a character. Cyberpsychol. Behav. 2008, 11, 715–718. [Google Scholar] [CrossRef] [PubMed]
- Hussain, Z.; Griffiths, M.D.; Baguley, T. Online gaming addiction: Classification, prediction and associated risk factors. Addict. Res. Theory 2012, 20, 359–371. [Google Scholar] [CrossRef]
- Greenberg, B.S.; Sherry, J.; Lachlan, K.; Lucas, K.; Holmstrom, A. Orientations to video games among gender and age groups. Simul. Gaming 2010, 41, 238–259. [Google Scholar] [CrossRef] [Green Version]
- Entertainment Software Association. The 2013 Essential Facts about the Computer and Video Game Industry. 2013. Available online: https://issuu.com/exame/docs/esa_____essential_facts_about_the_c (accessed on 12 December 2020).
- Rea, M.S.; Figueiro, M.G.; Bierman, A.; Bullough, J.D. Circadian light. J. Circadian Rhythm. 2010, 8, 1–10. [Google Scholar]
- Wood, B.; Rea, M.S.; Plitnick, B.; Figueiro, M.G. Light level and duration of exposure determine the impact of self-luminous tablets on melatonin suppression. Appl. Ergon. 2013, 44, 237–240. [Google Scholar] [CrossRef]
- Arora, T.; Broglia, E.; Thomas, G.N.; Taheri, S. Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias. Sleep Med. 2014, 15, 240–247. [Google Scholar] [CrossRef]
- Morin, C.M.; Belleville, G.; Bélanger, L.; Ivers, H. The Insomnia severity index: Psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep 2011, 34, 601–608. [Google Scholar] [CrossRef] [Green Version]
- National Sleep Foundation. National Sleep Foundation Recommends New Sleep Times. 2015. Available online: https://www.sleepfoundation.org/press-release/national-sleep-foundation-recommends-new-sleep-times (accessed on 12 December 2020).
- Hale, L.; Guan, S. Screen time and sleep among school-aged children and adolescents: A systematic literature review. Sleep Med. Rev. 2015, 21, 50–58. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chen, Y.L.; Gau, S.S.F. Sleep problems and internet addiction among children and adolescents: A longitudinal study. J. Sleep Res. 2016, 25, 458–465. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Gooley, J.J.; Chamberlain, K.; Smith, K.A.; Khalsa, S.B.S.; Rajaratnam, S.M.; Van Reen, E.; Zeitzer, J.M.; Czeisler, C.A.; Lockley, S.W. Exposure to room light before bedtime suppresses melatonin onset and shortens melatonin duration in humans. J. Clin. Endocrinol. Metab. 2011, 96, E463–E472. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Higuchi, S.; Motohashi, Y.; Liu, Y.; Maeda, A. Effects of playing a computer game using a bright display on presleep physiological variables, sleep latency, slow wave sleep and REM sleep. J. Sleep Res. 2005, 14, 267–273. [Google Scholar] [CrossRef] [PubMed]
- Anderson, C.A.; Bushman, B.J. Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature. Psychol. Sci. 2001, 12, 353–359. [Google Scholar] [CrossRef] [PubMed]
- Dworak, M.; Schierl, T.; Bruns, T.; Strüder, H.K. Impact of singular excessive computer game and television exposure on sleep patterns and memory performance of school-aged children. Pediatrics 2007, 120, 978–985. [Google Scholar] [CrossRef]
- Casey, B.; Jones, R.M.; Somerville, L.H. Braking and accelerating of the adolescent brain. J. Res. Adolesc. 2011, 21, 21–33. [Google Scholar] [CrossRef] [Green Version]
- Steinberg, L. A social neuroscience perspective on adolescent risk-taking. Dev. Rev. 2008, 28, 78–106. [Google Scholar] [CrossRef] [Green Version]
- Shulman, E.P.; Harden, K.P.; Chein, J.M.; Steinberg, L. Sex differences in the developmental trajectories of impulse control and sensation-seeking from early adolescence to early adulthood. J. Youth Adolesc. 2015, 44, 1–17. [Google Scholar] [CrossRef]
- Weinstein, A.; Livny, A.; Weizman, A. New developments in brain research of internet and gaming disorder. Neurosci. Biobehav. Rev. 2017, 75, 314–330. [Google Scholar] [CrossRef]
- Acheson, A.; Richards, J.B.; de Wit, H. Effects of sleep deprivation on impulsive behaviors in men and women. Physiol. Behav. 2007, 91, 579–587. [Google Scholar] [CrossRef] [PubMed]
- Ohayon, M.M.; Roberts, R.E.; Zulley, J.; Smirne, S.; Priest, R.G. Prevalence and patterns of problematic sleep among older adolescents. J. Am. Acad. Child. Adolesc. Psychiatry 2000, 39, 1549–1556. [Google Scholar] [CrossRef] [PubMed]
- Suh, S.; Cho, N.; Zhang, J. Sex differences in insomnia: From epidemiology and etiology to intervention. Curr. Psychiatry Rep. 2018, 20, 69. [Google Scholar] [CrossRef] [PubMed]
- Fang, J.; Fishbein, W. Sex differences in paradoxical sleep: Influences of estrus cycle and ovariectomy. Brain Res. 1996, 734, 275–285. [Google Scholar] [CrossRef]
- Müller, K.W.; Janikian, M.; Dreier, M.; Wölfling, K.; Beutel, M.; Tzavara, C.; Richardson, C.; Tsitsika, A. Regular gaming behavior and internet gaming disorder in European adolescents: Results from a cross-national representative survey of prevalence, predictors, and psychopathological correlates. Eur. Child Adolesc. Psychiatry 2015, 24, 565–574. [Google Scholar] [CrossRef]
- Lemola, S.; Perkinson-Gloor, N.; Brand, S.; Dewald-Kaufmann, J.F.; Grob, A. Adolescents’ electronic media use at night, sleep disturbance, and depressive symptoms in the smartphone age. J. Youth Adolesc. 2015, 44, 405–418. [Google Scholar] [CrossRef]
- Brunborg, G.S.; Mentzoni, R.A.; Molde, H.; Myrseth, H.; Skouverøe, K.J.M.; Bjorvatn, B.; Pallesen, S. The relationship between media use in the bedroom, sleep habits and symptoms of insomnia. J. Sleep Res. 2011, 20, 569–575. [Google Scholar] [CrossRef]
- Kim, S.-E.; Kim, J.-W.; Jee, Y.-S. Relationship between smartphone addiction and physical activity in Chinese international students in Korea. J. Behav. Addict. 2015, 4, 200–205. [Google Scholar] [CrossRef]
- Young, K. Understanding online gaming addiction and treatment issues for adolescents. Am. J. Fam. Ther. 2009, 37, 355–372. [Google Scholar] [CrossRef]
- Oulasvirta, A.; Rattenbury, T.; Ma, L.; Raita, E. Habits make smartphone use more pervasive. Pers. Ubiquitous Comput. 2012, 16, 105–114. [Google Scholar] [CrossRef]
- Chiu, S.-I.; Hong, F.-Y.; Chiu, S.-L. An analysis on the correlation and gender difference between college students’ Internet addiction and mobile phone addiction in Taiwan. Int. Sch. Res. Not. 2013, 2013. [Google Scholar] [CrossRef] [PubMed]
- Ybarra, M.L.; Mitchell, K.J. Exposure to Internet pornography among children and adolescents: A national survey. Cyberpsychol. Behav. 2005, 8, 473–486. [Google Scholar] [CrossRef] [PubMed]
- Lee, C.; Lee, S.-J. Prevalence and predictors of smartphone addiction proneness among Korean adolescents. Child. Youth Serv. Rev. 2017. [Google Scholar] [CrossRef]
- Choi, S.-W.; Kim, D.-J.; Choi, J.-S.; Ahn, H.; Choi, E.-J.; Song, W.-Y.; Kim, S.; Youn, H. Comparison of risk and protective factors associated with smartphone addiction and Internet addiction. J. Behav. Addict. 2015, 4, 308–314. [Google Scholar] [CrossRef] [PubMed]
- Ko, C.H.; Wang, P.W.; Liu, T.L.; Yen, C.F.; Chen, C.S.; Yen, J.Y. Bidirectional associations between family factors and Internet addiction among adolescents in a prospective investigation. Psychiatry Clin. Neurosci. 2015, 69, 192–200. [Google Scholar] [CrossRef] [PubMed]
Variable a | Total Sample (n = 315) | Males (n = 149, 47.3%) | Females (n = 166, 52.7%) | p-Value |
---|---|---|---|---|
Age (years) | ||||
Mean ± SD | 13.59 ± 0.77 | 13.63 ± 0.817 | 13.56 ± 0.73 | 0.795 |
Min-max | 12–15 | 12–15 | 12–15 | |
Grade | 0.417 | |||
8 | 154 (48.9) | 74 (49.7) | 80 (48.2) | |
9 | 161 (51.1) | 75 (50.3) | 86 (51.8) | |
Smartphone use (hours/day) | <0.001 | |||
≤2 | 108 (34.3) | 68 (45.6) | 40 (24.1) | |
≥3 | 207 (65.7) | 81 (54.4) | 126 (75.9) | |
Sleep duration (hours/day) | 0.89 | |||
<8 | 225 (71.4) | 107 (71.8) | 118 (71.1) | |
≥8 | 90 (28.6) | 42 (28.2) | 48 (28.9) | |
Online gaming before sleep (≥1 h) | <0.001 | |||
Never or rarely | 129 (41.0) | 35 (23.5) | 94 (56.6) | |
Sometimes | 75 (23.8) | 39 (26.2) | 36 (21.7) | |
Always or often | 111 (35.2) | 75 (50.3) | 36 (21.7) | |
Insomnia status (ISI score) | 0.48 | |||
No clinical insomnia (0–7) | 124 (39.4) | 65 (43.6) | 59 (35.5) | |
Subthreshold (8–14) | 133 (42.2) | 59 (39.6) | 74 (44.6) | |
moderate (15–21) | 51 (16.2) | 22 (14.8) | 29 (17.5) | |
Severe (22–28) | 7 (2.2) | 3 (2.0) | 4 (2.4) |
Variable a | Insomnia Status in Males | Insomnia Status in Females | ||||||
---|---|---|---|---|---|---|---|---|
None or Mild | Moderate to Severe | χ2 | p-Value | None or Mild | Moderate to Severe | χ2 | p-Value | |
Grade | 5.64 | 0.027 | 0.67 | 0.442 | ||||
8 | 67 (90.5) | 7 (9.5) | 62 (77.5) | 18 (22.5) | ||||
9 | 57 (76.0) | 18 (24.0) | 71 (82.6) | 15 (17.4) | ||||
Smartphone use (hours/day) | 0.49 | 0.516 | 0.00 | 1.000 | ||||
≤2 | 55 (80.9) | 13 (19.1) | 32 (80.0) | 8 (20.0) | ||||
≥3 | 69 (85.2) | 12 (14.8) | 101 (80.2) | 25 (19.8) | ||||
Sleep duration (hours/day) | 0.26 | 0.808 | 1.11 | 0.292 | ||||
<8 | 88 (82.2) | 19 (17.8) | 97 (82.2) | 21 (17.8) | ||||
≥8 | 36 (85.7) | 6 (14.3) | 36 (75.0) | 12 (25.0) | ||||
Playing games before sleep (≥1 h) | 4.32 | 0.115 | 13.7 | 0.001 | ||||
Never or rarely | 30 (85.7) | 5 (14.3) | 81 (86.2) | 13 (13.8) | ||||
Sometimes | 36 (92.3) | 3 (7.7) | 31 (86.1) | 5 (13.9) | ||||
Always or often | 58 (77.3) | 17 (22.7) | 21 (58.3) | 15 (41.7) |
Variable | Males | p-Value | Females | p-Value | ||
---|---|---|---|---|---|---|
OR | 95% CI | OR | 95% CI | |||
Grade | ||||||
8 | 1.00 | 1.00 | ||||
9 | 4.34 | (1.55, 12.15) | 0.005 ** | 0.69 | (0.30, 1.55) | 0.363 |
Smartphone use (hours/day) | ||||||
≤2 | 1.00 | 1.00 | ||||
≥3 | 0.52 | (0.20, 1.33) | 0.170 | 1.1 | (0.43, 2.81) | 0.848 |
Sleep duration (hours/day) | ||||||
<8 | 1.00 | 1.00 | ||||
≥8 | 0.74 | (0.25, 2.20) | 0.592 | 1.33 | (0.57, 3.14) | 0.511 |
Playing games before sleep | ||||||
Never or rarely | 1.00 | 1.00 | ||||
Sometimes | 0.68 | (0.14, 3.28) | 0.635 | 1.07 | (0.35, 3.28) | 0.909 |
Always or often | 3.09 | (0.95, 10.07) | 0.061 | 4.6 | (1.87, 11.28) | 0.001 ** |
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Gandaputra, S.A.; Waluyo, I.; Efendi, F.; Wang, J.-Y. Insomnia Status of Middle School Students in Indonesia and Its Association with Playing Games before Sleep: Gender Difference. Int. J. Environ. Res. Public Health 2021, 18, 691. https://doi.org/10.3390/ijerph18020691
Gandaputra SA, Waluyo I, Efendi F, Wang J-Y. Insomnia Status of Middle School Students in Indonesia and Its Association with Playing Games before Sleep: Gender Difference. International Journal of Environmental Research and Public Health. 2021; 18(2):691. https://doi.org/10.3390/ijerph18020691
Chicago/Turabian StyleGandaputra, Septian Arief, Imam Waluyo, Ferry Efendi, and Jiun-Yi Wang. 2021. "Insomnia Status of Middle School Students in Indonesia and Its Association with Playing Games before Sleep: Gender Difference" International Journal of Environmental Research and Public Health 18, no. 2: 691. https://doi.org/10.3390/ijerph18020691
APA StyleGandaputra, S. A., Waluyo, I., Efendi, F., & Wang, J. -Y. (2021). Insomnia Status of Middle School Students in Indonesia and Its Association with Playing Games before Sleep: Gender Difference. International Journal of Environmental Research and Public Health, 18(2), 691. https://doi.org/10.3390/ijerph18020691