Socio-demographic factors and different internet-use patterns have different impacts on internet addiction and entail different risk profiles in males and females

被引:0
作者
Truzoli, Roberto [1 ]
Biscaldi, Valentina [1 ]
Valioni, Eleonora [1 ]
Conte, Stella [2 ]
Rovetta, Cecilia [1 ]
Casazza, Giovanni [3 ,4 ]
机构
[1] Univ Milan, Dept Biomed & Clin Sci, Milan, Italy
[2] Univ Cagliari, Dept Educ Psychol & Philosophy, Cagliari, Italy
[3] Univ Milan, Dipartimento Sci Clin & Comun, Milan, Italy
[4] Fdn IRCCS Ca Granda Osped Maggiore Policlin, Milan, Italy
来源
ACTIVITAS NERVOSA SUPERIOR REDIVIVA | 2024年 / 66卷 / 01期
关键词
Internet Addiction; gender; risk profile; epidemiology; prevalence; socio-demographic variables; ALCOHOL-USE; ADOLESCENTS; PREVALENCE; SYMPTOMS; DISORDER; STUDENTS; PREDICTORS; ONLINE; ASSOCIATION; POPULATION;
D O I
10.31577/ansr.2024.66.1.3
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
OBJECTIVES: Despite the number of studies on factors associated with Internet Addiction, there are inconclusive data for several variables. Furthermore, few Authors have done researches in a gender-specific perspective. Thus, our main objective was to assess the impact of socio-demographic variables and of Internet-use behavior on Internet Addiction in a gender-oriented study, and to set up a risk gender-specific profile. METHODS: We assessed by questionnaire gender, age, nationality of parents, time spent online and main use of Internet; and we administered the Internet Addiction Test to assess Internet Addiction, in schools or University setting. RESULTS: Out of 1032 participants, outcomes show that the type and relevance of predictors of Internet Addiction differ between males and females; from these data, we elaborated a risk gender-specific profile. Prevalence of Internet Addiction was 1.5% (male = 1.8%; female 1.2%). The trend of Internet Addiction is decreasing by age except when the main use of Internet is about social networking. CONCLUSION: This study investigated the role of variables- whose relevance was well accepted but not well defined- in a large sample of Italian participants, and discussed the different impact of these variables on genders. Furthermore, we have updated the prevalence of Internet Addiction in Italy. Clinicians can take advantage by including in their assessments a) evidence related to predictor factors that are not completely overlapping between gender, and b) the risk-profile.
引用
收藏
页码:18 / 29
页数:12
相关论文
共 70 条
  • [1] Internet addiction and sleep problems: A systematic review and meta-analysis
    Alimoradi, Zainab
    Lin, Chung-Ying
    Brostrom, Anders
    Bulow, Pia H.
    Bajalan, Zahra
    Griffiths, Mark D.
    Ohayon, Maurice M.
    Pakpour, Amir H.
    [J]. SLEEP MEDICINE REVIEWS, 2019, 47 : 51 - 61
  • [2] Internet Use Patterns, Internet Addiction, and Psychological Distress Among Engineering University Students: A Study from India
    Anand, Nitin
    Jain, Praveen A.
    Prabhu, Santosh
    Thomas, Christofer
    Bhat, Aneesh
    Prathyusha, P. V.
    Bhat, Shrinivasa U.
    Young, Kimberly
    Cherian, Anish V.
    [J]. INDIAN JOURNAL OF PSYCHOLOGICAL MEDICINE, 2018, 40 (05) : 458 - 467
  • [3] Anderson EL, 2017, INT J ADOLESC YOUTH, V22, P430, DOI 10.1080/02673843.2016.1227716
  • [4] Armstrong T., 2007, The human odyssey: Navigating the twelve stages o flife
  • [5] A study on the influence of internet addiction and online interpersonal influences on health-related quality of life in young Vietnamese
    Bach Xuan Tran
    Le Thi Huong
    Nguyen Duc Hinh
    Long Hoang Nguyen
    Bao Nguyen Le
    Vuong Minh Nong
    Vu Thi Minh Thuc
    Tran Dinh Tho
    Latkin, Carl
    Zhang, Melvyn W. B.
    Ho, Roger C. M.
    [J]. BMC PUBLIC HEALTH, 2017, 17 : 1 - 8
  • [6] Internet addiction among Norwegian adults: A stratified probability sample study
    Bakken, Inger Johanne
    Wenzel, Hanne Gro
    Gotestam, K. Gunnar
    Johansson, Agneta
    Oren, Anita
    [J]. SCANDINAVIAN JOURNAL OF PSYCHOLOGY, 2009, 50 (02) : 121 - 127
  • [7] Controversies about the enhanced vulnerability of the adolescent brain to develop addiction
    Bernheim, Aurelien
    Halfon, Olivier
    Boutrel, Benjamin
    [J]. FRONTIERS IN PHARMACOLOGY, 2013, 4
  • [8] Branciforti S, 2023, ACT NERV SUPER REDIV, V65, P112
  • [9] The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors
    Brand, Matthias
    Wegmann, Elisa
    Stark, Rudolf
    Mueller, Astrid
    Woelfling, Klaus
    Robbins, Trevor W.
    Potenza, Marc N.
    [J]. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2019, 104 : 1 - 10
  • [10] Risky behavior via social media: The role of reasoned and social reactive pathways
    Branley, Dawn Beverley
    Covey, Judith
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2018, 78 : 183 - 191