The Association Between Internet Addiction and Anxiety in Nursing Students: A Network Analysis.
The Association Between Internet Addiction and Anxiety in Nursing Students: A Network Analysis.
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DOI：
10.3389/fpsyt.2021.723355
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发表时间：
2021
影响因子：
4.7
通讯作者：
Xiang YT
中科院分区：
文献类型：
--
作者：
Cai H;Xi HT;An F;Wang Z;Han L;Liu S;Zhu Q;Bai W;Zhao YJ;Chen L;Ge ZM;Ji M;Zhang H;Yang BX;Chen P;Cheung T;Jackson T;Tang YL;Xiang YT
背景：患有共存焦虑的护生在以健康、积极、有意义的方式与他人沟通和互动时遇到了更多的困难。先前的研究发现网络成瘾（IA）和焦虑之间存在强烈的正相关，这表明报告严重IA的护理专业学生也容易患上衰弱性焦虑。然而，迄今为止，探索IA个体症状与焦虑之间关联性质的网络分析（NA）研究尚未发表。目的：应用网络分析探讨护生焦虑与焦虑症状的关系。方法：分别采用网络成瘾测试（IAT）和广泛性焦虑障碍筛查（GAD-7）对IA和焦虑症状进行评估。以“强度”作为症状网络的中心性指标，对IA和焦虑症状的结构进行表征。网络稳定性测试采用弃案引导程序，并进行网络比较测试（NCT），以检查网络特征是否因性别和居住地区而不同。结果：共1070名护生参与本研究。网络分析表明，IAT节点，“使用互联网导致学业下降”，“只有在离线时才抑郁/喜怒无常/紧张”，“使用互联网导致学习成绩下降”和“其他人抱怨你花在网上的时间”是ia焦虑网络模型中最具影响力的症状。性别和城乡居住对整个网络结构没有显著影响。结论：几个有影响的个体症状，包括网络使用导致的学习成绩下降、抑郁/情绪化/仅在离线时紧张、网络使用导致的学习成绩下降和其他人抱怨自己花在网上的时间，成为临床干预的潜在目标，以减少同时发生的IA和焦虑。此外，整体网络结构为解释IA和焦虑共病的潜在机制提供了基于数据的假设。
Background: Nursing students who suffer from co-occurring anxiety experience added difficulties when communicating and interacting with others in a healthy, positive, and meaningful way. Previous studies have found strong positive correlations between Internet addiction (IA) and anxiety, suggesting that nursing students who report severe IA are susceptible to debilitating anxiety as well. To date, however, network analysis (NA) studies exploring the nature of association between individual symptoms of IA and anxiety have not been published. Objective: This study examined associations between symptoms of IA and anxiety among nursing students using network analysis. Methods: IA and anxiety symptoms were assessed using the Internet Addiction Test (IAT) and the Generalized Anxiety Disorder Screener (GAD-7), respectively. The structure of IA and anxiety symptoms was characterized using “Strength” as a centrality index in the symptom network. Network stability was tested using a case-dropping bootstrap procedure and a Network Comparison Test (NCT) was conducted to examine whether network characteristics differed on the basis of gender and by region of residence. Results: A total of 1,070 nursing students participated in the study. Network analysis showed that IAT nodes, “Academic decline due to Internet use,” “Depressed/moody/nervous only while being off-line,” “School grades suffer due to Internet use,” and “Others complain about your time spent online” were the most influential symptoms in the IA-anxiety network model. Gender and urban/rural residence did not significantly influence the overall network structure. Conclusion: Several influential individual symptoms including Academic declines due to Internet use, Depressed/moody/nervous only while being off-line, School grades suffering due to Internet use and Others complain about one's time spent online emerged as potential targets for clinical interventions to reduce co-occurring IA and anxiety. Additionally, the overall network structure provides a data-based hypothesis for explaining potential mechanisms that account for comorbid IA and anxiety.
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DOI：
10.3390/bs11010005
发表时间：
2021-01-06
期刊：
Behavioral sciences (Basel, Switzerland)
影响因子：
--
作者：
Alheneidi H;AlSumait L;AlSumait D;Smith AP
通讯作者：
Smith AP
影响因子：
6.9
作者：
Fried, E. I.;Nesse, R. M.;Sen, S.
通讯作者：
Sen, S.
DOI：
10.1146/annurev-clinpsy-050212-185608
发表时间：
2013-01-01
期刊：
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9
影响因子：
--
作者：
Borsboom, Denny;Cramer, Angelique O. J.
通讯作者：
Cramer, Angelique O. J.
影响因子：
3.3
作者：
Galimberti, Cesare;Bosi, Monica Francesca;Vigano, Caterina Adele
通讯作者：
Vigano, Caterina Adele
影响因子：
4.6
作者：
Bringmann, Laura F.;Elmer, Timon;Snippe, Evelien
通讯作者：
Snippe, Evelien