| Status | 已發表Published |
| 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 Publication | Frontiers in Psychiatry
 |
| Volume | 13 |
| Abstract | Background 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. |
| Keyword | central symptoms internet addiction major depressive disorder network analysis residential depressive symptoms |
| DOI | 10.3389/fpsyt.2022.997593 |
| URL | View the original |
| Language | 英語English |
| Scopus ID | 2-s2.0-85141423332 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Journal article |
| Collection | University of Macau |
| Affiliation | 1.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 Affilication | Faculty 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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