How Have COVID-19 Isolation Policies Affected Young People's Mental Health? - Evidence From Chinese College Students

Bo Chen, Jinlu Sun, Yi Feng, Bo Chen, Jinlu Sun, Yi Feng

Abstract

The breakout of COVID-19 has brought about huge influence on people's physic and mental health. This paper aims to investigate the mental health status of young people living in isolation due to the policy response to Coronavirus disease. Nine hundred ninety-two Chinese college students (Mage = 19.45, SD = 1.41) were recruited to finish an online survey in the period of self-isolation. Seven dimensions of psychological well-being were measured, including mental status, knowledge of stress management, behavioral patterns, risk perception, academic stress, family relationships, and peer relationships. Results of cluster analysis indicated that young individuals' mental status can be divided into three groups: high-risk (n = 61, Mage = 19.26, SD = 1.32), medium-risk (n = 627, Mage = 19.43, SD = 1.38), and low-risk (n = 304, Mage = 19.54, SD = 1.49). Moreover, results of multiple regression showed that the isolation policy has had a complex influence on the symptoms of obsessive-compulsive disorder [F(12, 979) = 44.894, p < 0.001], fear [F(12, 979) = 30.776, p < 0.001], hypochondria [F(12, 979) = 22.530, p < 0.001], depression [F(12, 979) = 39.022, p < 0.001], and neurasthenia [F(12, 979) = 45.735, p < 0.001] via various factors. This paper also proposes a six-step intervention strategy to alleviate young people's psychological problems while in isolation. It provides practical insights into the psychological interventions in face of the global threat.

Keywords: COVID-19; isolation; mental health; psychological interventions; young people.

Copyright © 2020 Chen, Sun and Feng.

Figures

FIGURE 1
FIGURE 1
Cluster analysis results and the six-step intervention strategy.

References

    1. Ajzen I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior 1. J. Appl. Soc. Psychol. 32 665–683. 10.1111/j.1559-1816.2002.tb00236.x
    1. Bolton D., O’Ryan D., Udwin O., Boyle S., Yule W. (2000). The long-term psychological effects of a disaster experienced in adolescence: II: general psychopathology. J. Child Psychol. Psychiatr. Allied Discipl. 41 513–523. 10.1111/1469-7610.00636
    1. Chen Y. F. (2002). Chinese classification of mental disorders (CCMD-3): towards integration in international classification. Psychopathology 35 171–175. 10.1159/000065140
    1. Codreanu T. A., Celenza A., Jacobs I. (2014). Does disaster education of teenagers translate into better survival knowledge, knowledge of skills, and adaptive behavioral change? A systematic literature review. Prehospit. Disaster Med. 29 629–642. 10.1017/s1049023x14001083
    1. Enright S. (1991). Group treatment for obsessive-compulsive disorder: an evaluation. Behav. Psychother. 19 183–192. 10.1017/S0141347300012210
    1. Findley M. J., Cooper H. M. (1983). Locus of control and academic achievement: a literature review. J. Pers. Soc. Psychol. 44 419–427. 10.1037/0022-3514.44.2.419
    1. Gao Y., Xu M., Yang Y., Yao K. (2004). Discussion on the coping style of undergraduates and the correlative factors during the epidemic period of SARS. Chin. Med. Ethics 17 60–63.
    1. Glass L. M., Glass R. J. (2008). Social contact networks for the spread of pandemic influenza in children and teenagers. BMC Public Health 8:61. 10.1186/1471-2458-8-61
    1. Glass R. J., Glass L. M., Beyeler W. E., Min H. J. (2006). Targeted social distancing designs for pandemic influenza. Emerg. Infect. Dis. 12:1671. 10.3201/eid1211.060255
    1. Hidayati D. S. (2019). “Smartphone addiction and loneliness in adolescent,” in Proceedings of the 4th ASEAN Conference on Psychology, Counselling, and Humanities (ACPCH 2018), Paris.
    1. Huang H., Leung L. (2009). Instant messaging addiction among teenagers in China: shyness, alienation, and academic performance decrement. Cyber Psychol. Behav. 12 675–679. 10.1089/cpb.2009.0060
    1. Isen A. M., Patrick R. (1983). The effect of positive feelings on risk taking: when the chips are down. Organ. Behav. Hum. Perform. 31 194–202. 10.1016/0030-5073(83)90120-4
    1. Jun S. (2016). The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Comput. Hum. Behav. 58 179–186. 10.1016/j.chb.2015.12.061
    1. Liu Q. Q., Zhou Z. K., Yang X. J., Kong F. C., Niu G. F., Fan C. Y. (2017). Mobile phone addiction and sleep quality among Chinese adolescents: a moderated mediation model. Comput. Hum. Behav. 72 108–114. 10.1016/j.chb.2017.02.042
    1. Rufer M., Fricke S., Moritz S., Kloss M., Hand I. (2006). Symptom dimensions in obsessive–compulsive disorder: prediction of cognitive-behavior therapy outcome. Acta Psychiatr. Scand. 113 440–446. 10.1111/j.1600-0447.2005.00682.x
    1. Santos V., Egidio Nardi A., Anna Lucia Spear King, (2015). Treatment of internet addiction in patient with panic disorder and obsessive compulsive disorder: a case report. CNS Neurol. Disord. Drug Targets 14 341–344. 10.2174/1871527314666150225123532
    1. Sato T. (2005). The eysenck personality questionnaire brief version: factor structure and reliability. J. Psychol. 139 545–552. 10.3200/jrlp.139.6.545-552
    1. Su B., Yu C., Zhang W., Su Q., Zhu J., Jiang Y. (2018). Father–child longitudinal relationship: parental monitoring and internet gaming disorder in Chinese adolescents. Front. Psychol. 9:95. 10.3389/fpsyg.2018.00095
    1. World Health Organization [WHO] (2018). ICD-11 for Mortality And Morbidity Statistics. Geneva: WHO.
    1. Xie X., Zheng R., Xie D., Wang H. (2005). Analysis on psychological panic phenomenon of SARS. Acta Scient. Nat. Univ. Pekinen. 41 628–639.
    1. Xie Y. (1999). Simple coping style questionnaire. Chin. Ment. Health J. 12 181–182.
    1. Yan X., Zou Y. (2008). Optimal and sub-optimal quarantine and isolation control in SARS epidemics. Math. Comput. Model. 47 235–245. 10.1016/j.mcm.2007.04.003
    1. Zhou M., Xiang H., Li Z. (2019). Optimal control strategies for a reaction–diffusion epidemic system. Nonlinear Anal. Real World Appl. 46 446–464. 10.1016/j.nonrwa.2018.09.023

Source: PubMed

3
구독하다