Evidence map›Paper›PMID 40490556›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2025

The prevalence of internet addiction and its association with quality of life among inflight security officers based on a national survey: a network analysis perspective.

Zhen Gui, He-Li Sun, Yuan Feng, Qinge Zhang, Zhaohui Su, Teris Cheung, Gabor S Ungvari, Erliang Zhang, Minzhi Chen, Jie Zhang and 6 more

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Article in European archives of psychiatry and clinical neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

16 authors.

Zhen Gui *Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.ORCID http://orcid.org/0000-0002-5291-8396
He-Li Sun *Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
Yuan Feng *Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Qinge Zhang *Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Zhaohui SuSchool of Public Health, Southeast University, Nanjing, China.
Teris CheungSchool of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China.
Gabor S UngvariSection of Psychiatry, University of Notre Dame Australia, Fremantle, Australia.
Erliang ZhangSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.
Minzhi ChenSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.
Jie ZhangSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.
Lin ZhangCAAC East China Aviation Personnel Medical Appraisal Center, Shanghai, 200336, China.
Bin RenCAAC East China Aviation Personnel Medical Appraisal Center, Shanghai, 200336, China.
Qingqing JinCAAC East China Aviation Personnel Medical Appraisal Center, Shanghai, 200336, China.
Chee H NgDepartment of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, VIC, Australia. cng@unimelb.edu.au.
Mi XiangSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China. xiang-sjtu@hotmail.com.
Yu-Tao XiangUnit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China. xyutly@gmail.com.

Funding

Civil aviation safety capacity building project 251National Natural Science Foundation of China 71804110Science Foundation of Ministry of Education of China 22YJAZH116Shanghai Science and Technology Development Funds 21QA1405300University of Macau MYRG2019-00066-FHSUniversity of Macau MYRG2022-00187-FHS
6 · The paper itself

Abstract

backgroundGiven the heavy responsibilities placed on inflight security officers (IFSO) to ensure passenger safety and eliminate inflight hazards, they often turn to Internet use to cope with their work pressure. This study examined the prevalence of internet addiction (IA) among IFSO in China, and its associated factors, relationship with quality of life (QOL), and network structure.

methodsThis was a cross-sectional study based on a national survey. Expected influence (EI) was used to identify the most central nodes within the network model.

resultsAmong 3,475 IFSO included in this study across 10 airlines, the prevalence of IA (IAT-20 total score of ≥ 50) was 13.1% (n = 454; 95% CI: 11.9-14.2%). Further, there was an association between lower annual income, more severe depressive symptoms and anxiety symptoms with IA among IFSOs. Network analysis found that "Job performance or productivity suffer because of the Internet" (IAT8) was the most central symptom with the highest EI value, followed by "Preoccupation with the Internet" (IAT15) and "Depressed/moody/nervous only while being offline" (IAT20). Moreover, "Sleep loss due to late-night logins" (IAT14) and "Spend more time online over going out with others" (IAT19) had the most negative associations with QOL, while "Form new relationships with online users" (IAT4) showed the strongest positive correlation with QOL.

conclusionIA was common among IFSO. To reduce the adverse impact of IA among IFSO, appropriate interventions targeting central symptoms and those closely associated with QOL found in the network models should be developed.

Indexed as

AviationInternet Addiction DisorderAdultAnxietyChinaCross-Sectional StudiesData Interpretation, StatisticalDepressionFemaleHumansMaleOccupationsQuality of LifeStress, PsychologicalInflight security officerInternet addictionNetwork analysisQuality of life

Identifiers

PMID40490556
PMCPMC12589353

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.