Validation of the Revised Chen Internet Addition Scale for Chinese Older Adults

被引：1
作者：
Liu, Tianyuan [1 ]
Jia, Yu [2 ]
Yang, Yang [3 ]
Yan, Jinglu [4 ,5 ]
Mu, Wenlong [2 ]
机构：
[1] Wuhan Univ, Sch Sociol, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ, Sch Journalism & Commun, Wuhan, Hubei, Peoples R China
[3] Wuhan Univ, Sch Marxism, Wuhan, Hubei, Peoples R China
[4] Univ Queensland, Inst Social Sci Res, Brisbane, Qld, Australia
[5] Univ Queensland, Inst Social Sci Res, Brisbane, Qld 4072, Australia
来源：
RESEARCH ON SOCIAL WORK PRACTICE | 2024年 / 34卷 / 08期
关键词：
internet addiction; the elderly; Chen Internet Addiction Scale; Chinese; LATENT PROFILE ANALYSIS; PSYCHOMETRIC PROPERTIES; ADDICTION; LONELINESS; SMARTPHONE; DEPRESSION;
D O I：
10.1177/10497315231209492
中图分类号：
C916 [社会工作、社会管理、社会规划];
学科分类号：
1204 ;
摘要：
Purpose: This study aimed to revise the Chen Internet Addiction Scale (CIAS-R) among older adults in China. Method: 1,107 participants were recruited through an online survey. The factorial structure, reliability, and validity of the CIAS-R were tested. Latent profile analysis (LPA) was employed to distinguish individuals' Internet addiction membership. Results: The first-order five-factor model was demonstrated to best explain the underlying structure of the CIAS-R among the elderly in China. Time spent online, sense of loneliness, and depression provided evidence for the criterion validity of the CIAS-R. The magnitude of the correlation coefficients indicated Internet addiction may lead to psychological problems. LPA analysis showed the elderly could be clustered into four types based on their Internet addiction severity. Conclusion: The CIAS-R is a reliable and valid measure of Internet addiction among the elderly. This study offers a feasible way to intervene in the addicted aged for social workers and clinicians.
引用
收藏
页码：922 / 932
页数：11
相关论文
共 57 条
  • [1] Social isolation, social support and their relationship with smartphone addiction
    Al-Kandari, Yagoub Yousif
    Al-Sejari, Maha Meshari
    [J]. INFORMATION COMMUNICATION & SOCIETY, 2021, 24 (13) : 1925 - 1943
  • [2] The relationship between addiction to smartphone usage and depression among adults: a cross sectional study
    Alhassan, Aljohara A.
    Alqadhib, Ethar M.
    Taha, Nada W.
    Alahmari, Raneem A.
    Salam, Mahmoud
    Almutairi, Adel F.
    [J]. BMC PSYCHIATRY, 2018, 18
  • [3] A latent profile analysis of first-year university students' academic expectations
    Araujo, Alexandra M.
    Assis Gomes, Cristiano Mauro
    Almeida, Leandro S.
    Carlos Nunez, Jose
    [J]. ANALES DE PSICOLOGIA, 2019, 35 (01): : 58 - 67
  • [4] Bai Y., 2005, Psychol Dev Educ, V21, P99
  • [5] Smartphone Use, Digital Addiction and Physical and Mental Health in Community-dwelling Older Adults: a Population-based Survey
    Bertocchi, Fernanda Martins
    De Oliveira, Aparecida Carmem
    Lucchetti, Giancarlo
    Lucchetti, Alessandra Lamas Granero
    [J]. JOURNAL OF MEDICAL SYSTEMS, 2022, 46 (08)
  • [6] Smartphone usage among older adults
    Busch, Peter Andre
    Hausvik, Geir Inge
    Ropstad, Odd Karsten
    Pettersen, Daniel
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2021, 121
  • [7] Byrne B, 2010, INTERNATIONAL HANDBOOK OF PSYCHOLOGY IN EDUCATION, P3
  • [8] Chen S., 2003, Chinese Journal of Psychology, V45, P279, DOI 10.1037/t44491-000
  • [9] Evaluating goodness-of-fit indexes for testing measurement invariance
    Cheung, GW
    Rensvold, RB
    [J]. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2002, 9 (02) : 233 - 255
  • [10] China Internet Network Information Center (CNNIC), 2023, The 51st Statistical report on China's internet development
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