Serial Multiple Mediation of the Correlation Between Internet Addiction and Depression by Social Support and Sleep Quality of College Students During the COVID-19 Epidemic
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Objective This cross-sectional study explores the serial multiple mediation of the correlation between internet addiction and depression by social support and sleep quality of college students during the COVID-19 epidemic.Methods We enrolled 2,688 students from a certain university in Wuhu, China. Questionnaire measures of internet addiction, social support, sleep quality, depression and background characteristics were obtained.Results The prevalence of depression, among 2,688 college students (median age [IQR]=20.49 [20.0, 21.0] years) was 30.6%. 32.4% of the students had the tendency of internet addiction, among which the proportion of mild, moderate and severe were 29.8%, 2.5% and 0.1%, respectively. In our normal internet users and internet addiction group, the incidence of depression was 22.6% and 47.2%, respectively. The findings indicated that internet addiction was directly related to college students’ depression and indirectly predicted students’ depression via the mediator of social support and sleep quality. The mediation effect of social support and sleep quality on the pathway from internet addiction to depression was 41.97% (direct effect: standardized estimate=0.177; total indirect effect: standardized estimate= 0.128). The proposed model fit the data well.Conclusion Social support and sleep quality may continuously mediate the link between internet addiction and depression. Therefore, the stronger the degree of internet addiction, the lower the individual’s sense of social support and the worse the quality of sleep, which will ultimately the higher the degree of depression. We recommend strengthening monitoring of internet use during the COVID-19 epidemic, increasing social support and improving sleep quality, so as to reduce the risk of depression for college students.
Abstract
Objective This cross-sectional study explores the serial multiple mediation of the correlation between internet addiction and depression by social support and sleep quality of college students during the COVID-19 epidemic.Methods We enrolled 2,688 students from a certain university in Wuhu, China. Questionnaire measures of internet addiction, social support, sleep quality, depression and background characteristics were obtained.Results The prevalence of depression, among 2,688 college students (median age [IQR]=20.49 [20.0, 21.0] years) was 30.6%. 32.4% of the students had the tendency of internet addiction, among which the proportion of mild, moderate and severe were 29.8%, 2.5% and 0.1%, respectively. In our normal internet users and internet addiction group, the incidence of depression was 22.6% and 47.2%, respectively. The findings indicated that internet addiction was directly related to college students’ depression and indirectly predicted students’ depression via the mediator of social support and sleep quality. The mediation effect of social support and sleep quality on the pathway from internet addiction to depression was 41.97% (direct effect: standardized estimate=0.177; total indirect effect: standardized estimate= 0.128). The proposed model fit the data well.Conclusion Social support and sleep quality may continuously mediate the link between internet addiction and depression. Therefore, the stronger the degree of internet addiction, the lower the individual’s sense of social support and the worse the quality of sleep, which will ultimately the higher the degree of depression. We recommend strengthening monitoring of internet use during the COVID-19 epidemic, increasing social support and improving sleep quality, so as to reduce the risk of depression for college students.
참고문헌 (24)
- Yang T, "Regional contextual determinants of Internet addiction among college students: a representative nationwide study of China", Eur J Public Health, 27, pp.1032~1037 (2017)
- Zhang S, "Relationships between social support, loneliness, and internet addiction in Chinese postsecondary students: a longitudinal cross-lagged analysis", Front Psychol, 9, pp.1707~ (2018)
- Younes F, "Internet addiction and relationships with insomnia, anxiety, depression, stress and self-esteem in university students: a cross-sectional designed study", PLoS One, 11, pp.e0161126~ (2016)
- Chi X, "Internet addiction and depression in Chinese adolescents: a moderated mediation model", Front Psychiatry, 10, pp.816~ (2019)
- Buchanan JL, "Prevention of depression in the college student population:a review of the literature", Arch Psychiatr Nurs, 26, pp.21~42 (2012)
- Beiter R, "The prevalence and correlates of depression, anxiety, and stress in a sample of college students", J Affect Disord, 173, pp.90~96 (2015)
- Hajduk M, "Prevalence and correlations of depression and anxiety among Slovak college students", Bratisl Lek Listy, 120, pp.695~698 (2019)
- Cheng C, "Internet addiction prevalence and quality of (real) life:a meta-analysis of 31 nations across seven world regions", Cyberpsychol Behav Soc Netw, 17, pp.755~760 (2014)
- Sun Y, "Brief report: increased addictive internet and substance use behavior during the COVID-19 pandemic in China", Am J Addict, 29, pp.268~270 (2020)
- Mo PKH, "The role of social support on emotion dysregulation and Internet addiction among Chinese adolescents:a structural equation model", Addict Behav, 82, pp.86~93 (2018)
- Jain A, "Study of Internet addiction and its association with depression and insomnia in university students", J Fam Med Prim Care, 9, pp.1700~1706 (2020)
- Choi SW, "Comparison of risk and protective factors associated with smartphone addiction and Internet addiction", J Behav Addict, 4, pp.308~314 (2015)
- Gariépy G, "Social support and protection from depression: systematic review of current findings in Western countries", Br J Psychiatry, 209, pp.284~293 (2016)
- Auerbach RP, "Conceptualizing the prospective relationship between social support, stress, and depressive symptoms among adolescents", J Abnorm Child Psychol, 39, pp.475~487 (2011)
- Cheng SH, "A study on the sleep quality of incoming university students", Psychiatry Res, 197, pp.270~274 (2012)
- Zung WW, "Self-rating depression scale in an outpatient clinic. Further validation of the SDS", Arch Gen Psychiatry, 13, pp.508~515 (1965)
- Young K, "Cyber disorders: the mental health concern for the new millennium", Cyberpsychol Behav, 2, pp.475~479 (1999)
- Preacher KJ, "Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models", Behav Res Methods, 40, pp.879~891 (2008)
- Xu QJ, "Genetic transformation of OSISAP1 gene to onion (Allium cepa L.) mediated by amicroprojectile bombardment", Zhi Wu Sheng Li Yu Fen Zi Sheng Wu Xue Xue Bao, 33, pp.188~196 (2007)
- Ho RC, "The association between Internet addiction and psychiatric co-morbidity: a metaanalysis", BMC Psychiatry, 14, pp.183~ (2014)
- Kent RG, "Social Relationships and Sleep Quality", Ann Behav Med, 49, pp.912~917 (2015)
- Grey I, "The role of perceived social support on depression and sleep during the COVID-19pandemic", Psychiatry Res, 293, pp.113452~ (2020)
- Baglioni C, "Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies", J Affect Disord, 135, pp.10~19 (2011)
- Fazeli S, "Depression, anxiety, and stress mediate the associations between Internet gaming disorder, insomnia, and quality of life during the COVID-19 outbreak", Addict Behav Rep, 12, pp.100307~ (2020)