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Mapping network connectivity between internet addiction and residual depressive symptoms in patients with depression
Cai, Hong1,2,3; Bai, Wei1,2,3; Yue, Yan4; Zhang, Ling5; Mi, Wen Fang6; Li, Yu Chen7; Liu, Huan Zhong8,9; Du, Xiangdong4; Zeng, Zhen Tao5; Lu, Chang Mou5; Zhang, Lan6; Feng, Ke Xin10; Ding, Yan Hong6; Yang, Juan Juan8,9; Jackson, Todd11; Cheung, Teris12; An, Feng Rong13; Xiang, Yu Tao1,2,3
2022-10-24
Source PublicationFrontiers in Psychiatry
Volume13
AbstractBackground and aims: Depression often triggers addictive behaviors such as Internet addiction. In this network analysis study, we assessed the association between Internet addiction and residual depressive symptoms in patients suffering from clinically stable recurrent depressive disorder (depression hereafter). Materials and methods: In total, 1,267 depressed patients were included. Internet addiction and residual depressive symptoms were measured using the Internet Addiction Test (IAT) and the two-item Patient Health Questionnaire (PHQ-2), respectively. Central symptoms and bridge symptoms were identified via centrality indices. Network stability was examined using the case-dropping procedure. Results: The prevalence of IA within this sample was 27.2% (95% CI: 24.7–29.6%) based on the IAT cutoff of 50. IAT15 (“Preoccupation with the Internet”), IAT13 (“Snap or act annoyed if bothered without being online”) and IAT2 (“Neglect chores to spend more time online”) were the most central nodes in the network model. Additionally, bridge symptoms included the node PHQ1 (“Anhedonia”), followed by PHQ2 (“Sad mood”) and IAT3 (“Prefer the excitement online to the time with others”). There was no gender difference in the network structure. Conclusion: Both key central and bridge symptoms found in the network analysis could be potentially targeted in prevention and treatment for depressed patients with comorbid Internet addiction and residual depressive symptoms.
Keywordcentral symptoms internet addiction major depressive disorder network analysis residential depressive symptoms
DOI10.3389/fpsyt.2022.997593
URLView the original
Language英語English
Scopus ID2-s2.0-85141423332
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao
2.Centre for Cognitive and Brain Sciences, University of Macau, Macao
3.Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao
4.Guangji Hospital Affiliated to Soochow University, Suzhou, Jiangsu Province, China
5.Nanning Fifth People’s Hospital, Nanning, Guangxi, China
6.Department of Psychiatry, Lanzhou University Second Hospital, Lanzhou, Gansu, China
7.Department of Psychiatry, Xiamen Xianyue Hospital, Xiamen, Fujian Province, China
8.Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, Anhui Province, China
9.School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, China
10.School of Public Health, Lanzhou University, Lanzhou, Gansu Province, China
11.Department of Psychology, University of Macau, Macao
12.School of Nursing, Hong Kong Polytechnic University, Kowloon, Hong Kong
13.The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
First Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
Cai, Hong,Bai, Wei,Yue, Yan,et al. Mapping network connectivity between internet addiction and residual depressive symptoms in patients with depression[J]. Frontiers in Psychiatry,2022,13.
APA Cai, Hong,Bai, Wei,Yue, Yan,Zhang, Ling,Mi, Wen Fang,Li, Yu Chen,Liu, Huan Zhong,Du, Xiangdong,Zeng, Zhen Tao,Lu, Chang Mou,Zhang, Lan,Feng, Ke Xin,Ding, Yan Hong,Yang, Juan Juan,Jackson, Todd,Cheung, Teris,An, Feng Rong,&Xiang, Yu Tao.(2022).Mapping network connectivity between internet addiction and residual depressive symptoms in patients with depression.Frontiers in Psychiatry,13.
MLA Cai, Hong,et al."Mapping network connectivity between internet addiction and residual depressive symptoms in patients with depression".Frontiers in Psychiatry 13(2022).
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