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BMC Psychiatry
Published in: BMC Psychiatry 1/2024

Open Access 01-12-2024 | Addiction | Research

Correlation of negative emotion, fatigue level and internet addiction in college students: implication for coping strategies

Authors: Shanshan Gu, Xue Min, Jing Xu, Shu Chen

Published in: BMC Psychiatry | Issue 1/2024

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Abstract

Background

Internet addiction has an important influence on the development of physical and mental health of college students. The purpose of this study is to evaluate the current status and the correlation between college students’ negative emotion, fatigue level and Internet addiction disorder, and to provide reference for the care and management of college students.

Methods

We conducted a questionnaire survey on a cluster sample of college students from October to November 15, 2022. Internet addiction scale, fatigue assessment scale and positive and negative emotion scale were used for survey. Pearson correlation analysis and mediating effect test were performed to analyze the correlation and effects.

Results

A total of 1546 valid questionnaires were collected. The incidence of internet addiction in college student was 20.38%. The total score of internet addiction was 52.94 ± 12.47, the total fatigue score was 69.27 ± 3.19, the score of positive emotion of college students was 31. 41 ± 5.09, and the negative emotion score was 18.54 ± 5.68. The total score of internet addiction were positively correlated with score of negative emotion (all P < 0. 05). The total score of internet addiction scale of college students were positively correlated and each factor score of with the score of fatigue severity (all P < 0. 05). Fatigue played an intermediary role in the prediction of negative emotion and internet addiction of college students, with an intermediary role of-0.433, accounting for 76.35% of the total effect.

Conclusion

The college students’ positive emotion may be strengthened to reduce their fatigue level and negative emotion so as to reduce internet addiction.
Literature
1.
Dawadi P, Khadka S, Maharjan S, Baniya A, Khadka S, Thapa S, Deo R. Internet addiction among Undergraduate Medical students of a Medical College: a descriptive cross-sectional study. JNMA J Nepal Med Assoc. 2022;60(250):533–6.PubMedPubMedCentralCrossRef
2.
Gao S, Zeng F, Chen F. Current situation and influencing factors of internet addiction among College students in higher Vocational Colleges– A case study of colleges and universities in Hunan Province. J Huaihua Univ. 2022;41(2):116–9.
3.
Zhang W, Xu R. Effect of Exercise Intervention on Internet Addiction and Autonomic Nervous Function in College Students. Biomed Res Int 2022, 2022:5935353.
4.
Gavurova B, Ivankova V, Rigelsky M, Mudarri T. Internet addiction in Socio-Demographic, Academic, and Psychological Profile of College Students during the COVID-19 pandemic in the Czech Republic and Slovakia. Front Public Health. 2022;10:944085.PubMedPubMedCentralCrossRef
5.
Arslan G, Coskun M. Social Exclusion, Self-Forgiveness, Mindfulness, and internet addiction in College students: a Moderated Mediation Approach. Int J Ment Health Addict. 2022;20(4):2165–79.PubMedCrossRef
6.
Kumar G, Dash P, Jnaneswar A, Suresan V, Jha K, Ghosal S. Impact of internet addiction during COVID-19 on anxiety and sleep quality among college students of Bhubaneswar city. J Educ Health Promot. 2022;11:156.PubMedPubMedCentralCrossRef
7.
Xie Y, Wu J, Zhang C, Zhu L. Cumulative childhood trauma and cybervictimization among Chinese college students: internet addiction as a mediator and roommate relationships as a moderator. Front Psychol. 2022;13:791291.PubMedPubMedCentralCrossRef
8.
Yang W, Hu W, Morita N, Ogai Y, Saito T, Wei Y. Impact of short-term intensive-type cognitive behavioral therapy intervention on internet addiction among Chinese College students: a Randomized Controlled Trial. Int J Environ Res Public Health 2022, 19(9).
9.
Pan L, Li J, Hu Z, Wu H. The Effect of COVID-19 perceived risk on internet addiction among College students in China: an empirical study based on the Structural equation Model. Int J Environ Res Public Health 2022, 19(20).
10.
Jiang M, Zhao Y, Wang J, Hua L, Chen Y, Yao Y, Jin Y. 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. Psychiatry Investig. 2022;19(1):9–15.PubMedPubMedCentralCrossRef
11.
Du Z, Zhang X. Analysis of the mediating effects of self-efficacy and self-control between physical activity and internet addiction among Chinese college students. Front Psychol. 2022;13:1002830.PubMedPubMedCentralCrossRef
12.
Miao F. Analysis of college students’ social network addiction and school mental health education. Educational Res. 2022;5(5):119–21.
13.
Jin N, Lu W, Song M. Analysis of current situation and influencing factors of internet addiction among medical students. Neurol Dis Mental Health. 2023;23(9):620–5.
14.
Weijun Z, Fan H. The method of calculating the sample size of current situation survey. Prev Med. 2020;32(6):2–5.
15.
Ko CH, Yen JY, Chen SH, Yang MJ, Lin HC, Yen CF. Proposed diagnostic criteria and the screening and diagnosing tool of internet addiction in college students. Compr Psychiatry. 2009;50(4):378–84.PubMedCrossRef
16.
Jianqin C, Jinwei Y, Jun Y. Reliability and validity of internet addiction impairment scale. Chin Gen Med. 2010;13(34):3–5.
17.
Sulan L, Wangqiao Z, Xiaodong L. Internet addiction of medical students in traditional Chinese medicine colleges and universities in Jiangxi Province and its influencing factors. Chin J Health Psychol. 2021;29(4):601–7.
18.
Zhang Z. Handbook of behavioral medical scales. Volume 16. Beijin; 2005.
19.
Shengli L, Hongzhan Q, Wenjun Y. Investigation and analysis of nurses’ fatigue and perceived social support. Chin J Practical Nurs. 2010;24(1):4–6.
20.
Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063–70.PubMedCrossRef
21.
Lin Q, Xue Z, Yanfei W. Revision of positive emotion and negative emotion scale (PANAS). Appl Psychol. 2008;14(3):7–9.
22.
Chang B, Hou J. The Association between Perceived Risk of COVID-19, psychological distress, and internet addiction in College students: an application of stress process model. Front Psychol. 2022;13:898203.PubMedPubMedCentralCrossRef
23.
Zhao Y, Zhang K, Griffiths MD. Serial mediation roles of Alexithymia and Loneliness in the association between family function and internet addiction among Chinese College Students. Front Psychol. 2022;13:874031.PubMedPubMedCentralCrossRef
24.
Liang S, Ren Z, Yang G. Cross-sectional and prospective association between internet addiction and risk of fatigue among Chinese college students. Med (Baltim). 2022;101(33):e30034.CrossRef
25.
Ibrahim AK, Fouad I, Kelly SJ, El Fawal B, Ahmed GK. Prevalence and determinants of internet addiction among medical students and its association with depression. J Affect Disord. 2022;314:94–102.PubMedCrossRef
26.
Rzepka M, Chmiela T, Kaczmarczyk A, Krzystanek E. Insomnia, fatigue, bladder disorders and Mood disorders among Polish patients with multiple Sclerosis: cross-sectional study. J Clin Med 2024, 13(4).
27.
Tornero-Aguilera JF, Jimenez-Morcillo J, Rubio-Zarapuz A, Clemente-Suarez VJ. Central and peripheral fatigue in physical Exercise explained: a narrative review. Int J Environ Res Public Health 2022, 19(7).
28.
Davis MP, Walsh D. Mechanisms of fatigue. J Support Oncol. 2010;8(4):164–74.PubMed
29.
Masel BE, Zgaljardic DJ, Forman J. Post-traumatic hypopituitarism and fatigue. Neuropsychol Rehabil. 2017;27(7):1071–9.PubMedCrossRef
30.
Tackey C, Slepian PM, Clarke H, Mittal N. Post-viral Pain, fatigue, and Sleep Disturbance syndromes: current knowledge and future directions. Can J Pain. 2023;7(2):2272999.PubMedCrossRef
31.
Booker LA, Fitzgerald J, Mills J, Bish M, Spong J, Deacon-Crouch M, Skinner TC. Sleep and fatigue management strategies: how nurses, midwives and paramedics cope with their shift work schedules-a qualitative study. Nurs Open. 2024;11(1):e2099.PubMedPubMedCentralCrossRef
32.
Lin SC, Tsai KW, Chen MW, Koo M. Association between fatigue and internet addiction in female hospital nurses. J Adv Nurs. 2013;69(2):374–83.PubMedCrossRef
33.
Buneviciene I, Bunevicius A. Prevalence of internet addiction in healthcare professionals: systematic review and meta-analysis. Int J Soc Psychiatry. 2021;67(5):483–91.PubMedCrossRef
34.
Ohayon MM, Roberts L. Internet gaming disorder and comorbidities among campus-dwelling U.S. university students. Psychiatry Res. 2021;302:114043.PubMedCrossRef
35.
Fu SC, Pang NTP, Wider W. Relationship between internet addiction, personality factors, and emotional distress among adolescents in Malaysia. Child (Basel) 2022, 9(12).
36.
Son HG, Cho HJ, Jeong KH. The Effects of Korean Parents’ Smartphone Addiction on Korean Children’s Smartphone Addiction: Moderating Effects of Children’s Gender and Age. Int J Environ Res Public Health 2021, 18(13).
37.
Hwang IW, Choe JP, Park JH, Lee JM. Association between physical activity, sedentary behavior, satisfaction with sleep fatigue recovery and smartphone dependency among Korean adolescents: an age- and gender-matched study. Int J Environ Res Public Health 2022, 19(23).
38.
Qiong W, Tao X, Huiying L. The relationship between parental rejection and internet addiction of left-behind children: a moderated intermediary model. Psychol Dev Educ. 2019;35(6):749–58.
39.
Qian D, Yongxin Z, Hua W. The doctrine of the mean and college students’ internet addiction: the sequence mediation of social support and loneliness. Psychol Behav Res. 2019;17(4):8–11.
40.
Kumari R, Langer B, Gupta R, Gupta RK, Mir MT, Shafi B, Kour T, Raina SK. Prevalence and determinants of internet addiction among the students of professional colleges in the Jammu region. J Family Med Prim Care. 2022;11(1):325–9.PubMedPubMedCentralCrossRef
41.
Fan Z, Chen M, Lin Y. Self-control and problematic internet use in College students: the Chain Mediating Effect of rejection sensitivity and loneliness. Psychol Res Behav Manag. 2022;15:459–70.PubMedPubMedCentralCrossRef
42.
Karaer Y, Akdemir D. Parenting styles, perceived social support and emotion regulation in adolescents with internet addiction. Compr Psychiatry. 2019;92:22–7.PubMedCrossRef
43.
Younes F, Halawi G, Jabbour H, El Osta N, Karam L, Hajj A, Rabbaa Khabbaz L. 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.PubMedPubMedCentralCrossRef
44.
Ahmed GK, Abdalla AA, Mohamed AM, Mohamed LA, Shamaa HA. Relation between internet gaming addiction and comorbid psychiatric disorders and emotion avoidance among adolescents: a cross-sectional study. Psychiatry Res. 2022;312:114584.PubMedCrossRef
45.
Yunjiao Z, Yehuan S, Jiahu H. Relationship between negative life event depression and internet addiction disorder among freshmen in vocational colleges in Anhui Province. School Health China. 2019;40(10):1499–502.
46.
Shaolan W, Yongxin Y, Chunmei W. Path analysis of predisposing factors of suicidal ideation in patients with internet addiction. Chin J Behav Med Brain Sci 2018 27(3):216–21.
47.
Sayed M, Naiim CM, Aboelsaad M, Ibrahim MK. Internet addiction and relationships with depression, anxiety, stress and academic performance among Egypt pharmacy students: a cross-sectional designed study. BMC Public Health. 2022;22(1):1826.PubMedPubMedCentralCrossRef
48.
Yang SY, Wang YC, Lee YC, Lin YL, Hsieh PL, Lin PH. Does Smartphone Addiction, Social Media Addiction, and/or Internet Game Addiction Affect Adolescents’ Interpersonal Interactions? Healthc (Basel) 2022, 10(5).
49.
Kamal S, Kamal S, Mubeen SM, Shah AM, Samar SS, Zehra R, Khalid H, Naeem R. Smartphone addiction and its associated behaviors among medical and dental students in Pakistan: a cross-sectional survey. J Educ Health Promot. 2022;11:220.PubMedPubMedCentralCrossRef
50.
He Z, Li M. Executive function and Social Media Addiction in Female College students: the mediating role of affective state and stress. J Genet Psychol. 2022;183(4):279–93.PubMedCrossRef
51.
Deb N, Roy P. Internet addiction, depression, anxiety and stress among first year medical students after COVID-19 lockdown: a cross sectional study in West Bengal, India. J Family Med Prim Care. 2022;11(10):6402–6.PubMedPubMedCentralCrossRef
52.
Liu H, Zhou Z, Zhu E, Huang L, Zhang M. Smartphone addiction and its associated factors among freshmen medical students in China: a cross-sectional study. BMC Psychiatry. 2022;22(1):308.PubMedPubMedCentralCrossRef
Metadata
Title
Correlation of negative emotion, fatigue level and internet addiction in college students: implication for coping strategies
Authors
Shanshan Gu
Xue Min
Jing Xu
Shu Chen
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Psychiatry / Issue 1/2024
Electronic ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-024-05711-5

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