Internet addiction and its association with depression, anxiety, and stress symptoms among allied health students in Malaysia

  • Nor Subhi Jaafar Institut Latihan Kementerian Kesihatan Malaysia Kota Kinabalu, Sabah, Malaysia https://orcid.org/0000-0002-6836-4981
  • Idayu Badilla Idris Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
  • Norfazilah Ahmad Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
  • Rozita Hod Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
  • Baidi Baddiri Institut Latihan Kementerian Kesihatan Malaysia Kota Kinabalu, Sabah, Malaysia https://orcid.org/0000-0002-3690-2503
  • Rafidah Hod Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia
Keywords: anxiety, depression, health professional students, internet addiction, stress, students
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Abstract

BACKGROUND Internet addiction (IA) is prone to be experienced by students and has become a major health concern. However, data on IA among allied health students are limited. This study aimed to describe the prevalence of IA and the association between mental health problems and IA among allied health students in Malaysia.

METHODS A cross-sectional study was conducted from July to December 2021 in three government-funded allied health training institutes in Malaysia. A total of 265 allied health students undertaking a diploma in nursing, medical assistant training, physiotherapy, occupational therapy, and diagnostic imaging were recruited using stratified random sampling. The Malay version of the IA test was used to measure IA, while depression, anxiety and stress scale-21 items were used to assess their mental health problems. A general linear model was used to analyze the association between IA scores and mental health problems.

RESULTS The prevalence of IA among allied health students was more than 80%, with 16.2% and 2.3% of them reporting moderate and severe IA, respectively. Higher depression (p<0.001), anxiety (p<0.001), and stress scores (p = 0.002) were associated with higher IA scores.

CONCLUSIONS There were significant associations between mental health problems and IA scores among allied health students. Future studies with rigorous scientific methods are necessary to explore mental health effects on IA. Early intervention is also needed to prevent mental health problems among allied health students to overcome the problem of IA.

References

  1. Shaw M, Black DW. Internet addiction and clinical management. CNS Drugs. 2008;22(5):353-65. https://doi.org/10.2165/00023210-200822050-00001

  2. Eliacik K, Bolat N, Koçyiğit C, Kanik A, Selkie E, Yilmaz H, et al. Internet addiction, sleep and health-related life quality among obese individuals: a comparison study of the growing problems in adolescent health. Eat Weight Disord. 2016;21(4):709-17. https://doi.org/10.1007/s40519-016-0327-z

  3. Malaysian Communications and Multimedia Commission. Internet users survey 2018: statistical brief number twenty-three [Internet]. Selangor: Malaysian Communications and Multimedia Commission; 2018. p. 1-39. Available from: https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/Internet-Users-Survey-2018.pdf.

  4. Chaudhari B, Menon P, Saldanha D, Tewari A, Bhattacharya L. Internet addiction and its determinants among medical students. Ind Psychiatry J. 2015;24(2):158-62. https://doi.org/10.4103/0972-6748.181729

  5. Zhang MW, Lim RB, Lee C, Ho RC. Prevalence of internet addiction in medical students: a meta-analysis. Academic Psychiatry. 2018;42(1):88-93. https://doi.org/10.1007/s40596-017-0794-1

  6. Hirao K. Difference in mental state between internet-addicted and non-addicted Japanese undergraduates. Int J Adolesc Med. 2015;27(3):307-10. https://doi.org/10.1515/ijamh-2014-0030

  7. Dong H, Yang F, Lu X, Hao W. Internet addiction and related psychological factors among children and adolescents in China during the coronavirus disease 2019 (COVID-19) epidemic. Front Psychiatry. 2020;11:1-9. https://doi.org/10.3389/fpsyt.2020.00751

  8. Radeef AS, Faisal GG. Prevalence of internet addiction and its association with depression, anxiety and stress among medical students in Malaysia. Mediterr J Clin Psychol. 2018;6(3):1-17. https://doi.org/10.6092/2282-1619/2018.6.1987

  9. Younes F, Halawi G, Jabbour H, El Osta N, Karam L, Hajj A, et al. Internet addiction and relationships with insomnia, anxiety, depression, stress and self-esteem in university students: a cross-sectional designed study. PLoS One. 2016;11(9):e0161126. https://doi.org/10.1371/journal.pone.0161126

  10. Boonvisudhi T, Kuladee S. Association between internet addiction and depression in Thai medical students at Faculty of Medicine, Ramathibodi Hospital. PLoS One. 2017;12(3):e0174209. https://doi.org/10.1371/journal.pone.0174209

  11. Yücens B, Üzer A. The relationship between internet addiction, social anxiety, impulsivity, self-esteem, and depression in a sample of Turkish undergraduate medical students. Psychiatry Res. 2018;267:313-8. https://doi.org/10.1016/j.psychres.2018.06.033

  12. Woon LSC. Internet addiction and mental well-being among secondary school students in a Malaysian district: a cross-sectional survey. J Clin Psy. 2020;23(4):526-8. https://doi.org/10.5505/kpd.2020.72623

  13. Krejcie RV, Morgan DW. Determining sample size for research activities. Educ Psychol Meas. 1970;30(3):607-10. https://doi.org/10.1177/001316447003000308

  14. Guan NC, Isa SM, Hashim AH, Pillai SK, Harbajan Singh MK. Validity of the Malay version of the internet addiction test: a study on a group of medical students in Malaysia. Asia Pac J Public Health. 2015;27(2):NP2210-9. https://doi.org/10.1177/1010539512447808

  15. Musa R, Fadzil MA, Zain Z. Translation, validation and psychometric properties of Bahasa Malaysia version of the depression anxiety and stress scales (DASS). ASEAN J Psychiatry. 2007;8(2):82-9.

  16. Young KS. Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav. 1998;1(3):237-44. https://doi.org/10.1089/cpb.1998.1.237

  17. Jelenchick LA, Becker T, Moreno MA. Assessing the psychometric properties of the internet addiction test (IAT) in US college students. Psychiatry Res. 2012;196(2-3):296-301. https://doi.org/10.1016/j.psychres.2011.09.007

  18. Phillips JG, Ogeil RP, Blaszczynski A. Electronic interests and behaviours associated with gambling problems. Int J Ment Health Addiction. 2012;10(4):585-96. https://doi.org/10.1007/s11469-011-9356-z

  19. King DL, Delfabbro PH, Billieux J, Potenza MN. Problematic online gaming and the COVID-pandemic. J Behav Addict. 2020;9(2):184-6. https://doi.org/10.1556/2006.2020.00016

  20. Siste K, Hanafi E, Sen LT, Christian H, Adrian, Siswidiani LP, et al. The impact of physical distancing and associated factors towards internet addiction among adults in Indonesia during COVID-19 pandemic: a nationwide web-based study. Front Psychiatry. 2020;11:580977. https://doi.org/10.3389/fpsyt.2020.580977

  21. Mrayyan MT, Al-Atiyyat N, Abu Khait A, Al-Rawashdeh S, Algunmeeyn A, Abunab HY. Does cyberchondria predict internet addiction among students during the COVID-19 pandemic? A web-based survey study. Nurs Forum. 2022. https://doi.org/10.1111/nuf.12682

  22. Tahir MJ, Malik NI, Ullah I, Khan HR, Perveen S, Ramalho R, et al. Internet addiction and sleep quality among medical students during the COVID-19 pandemic: a multinational cross-sectional survey. PloS One. 2021;16(11):e0259594. https://doi.org/10.1371/journal.pone.0259594

  23. Hassan T, Alam MM, Wahab A, Hawlader MD. Prevalence and associated factors of internet addiction among young adults in Bangladesh. J Egypt Public Health Assoc. 2020;95(1):1-8. https://doi.org/10.1186/s42506-019-0032-7

  24. Khalil AI, Alharbi NB, Alhawasawi HY, Albander AB. Prevalence of Internet addiction among nursing students and the association with their academic performance and mental health. Athens J Health. 2016;3(4):291-306. https://doi.org/10.30958/ajh.3-4-2

  25. Uygur AB, Cankaya S. A cross-sectional survey of internet use among medical faculty students. Turk J Health S. 2021;2(1):13-30.

  26. Zalewska A, Gałczyk M, Sobolewski M, Białokoz-Kalinowska I. Depression as compared to level of physical activity and internet addiction among polish physiotherapy students during the COVID-19 pandemic. Int J Environ Res Public Health. 2021;18(19):10072. https://doi.org/10.3390/ijerph181910072

  27. Parkitny L, McAuley J. The depression anxiety stress scale (DASS). J Physiother. 2010;56(3):204. https://doi.org/10.1016/S1836-9553(10)70030-8

  28. World Health Organization. The ICD-10 classification of mental and behavioural disorders: diagnostic criteria for research. World Health Organization; 1993.

  29. Young KS. Internet addiction: a new clinical phenomenon and its consequences. Am Behav Sci. 2004;48(4):402-15. https://doi.org/10.1177/0002764204270278

  30. Gupta S, Epari V, Pradhan S. Association of internet addiction with insomnia, depression, anxiety and stress among university students - a cross-sectional study. Indian J Community Health. 2018;30(4):342-7.

  31. Mooi CS, Ali H, Theng CA, Salim HS. Psychological distress and internet addiction among medical students from a Malaysian public university: a comparison between gender. Malaysian J Med Health Sci. 2019;15(2):3-8.

  32. Taş İ. Association between depression, anxiety, stress, social support, resilience and internet addiction: a structural equation modelling. Malaysian Online J Educ Technol. 2019;7(3):1-10. https://doi.org/10.17220/mojet.2019.03.001

  33. Cho SM, Sung MJ, Shin KM, Lim KY, Shin YM. Does psychopathology in childhood predict internet addiction in male adolescents? Child Psychiatry Hum Dev. 2013;44(4):549-55. https://doi.org/10.1007/s10578-012-0348-4

  34. Ho RC, Zhang MW, Tsang TY, Toh AH, Pan F, Lu Y, et al. The association between internet addiction and psychiatric comorbidity: a meta-analysis. BMC Psychiatry. 2014;14:183. https://doi.org/10.1186/1471-244X-14-183

  35. Baturay MH, Toker S. Internet addiction among college students: some causes and effects. Educ Inf Technol. 2019;24:2863-85. https://doi.org/10.1007/s10639-019-09894-3

Published
2022-04-22
How to Cite
1.
Jaafar NS, Idris IB, Ahmad N, Hod R, Baddiri B, Hod R. Internet addiction and its association with depression, anxiety, and stress symptoms among allied health students in Malaysia. Med J Indones [Internet]. 2022Apr.22 [cited 2022Jul.2];31(1):56-1. Available from: http://mji.ui.ac.id/journal/index.php/mji/article/view/5820
Section
Clinical Research