Conceptualising social media addiction: a longitudinal network analysis of social media addiction symptoms and their relationships with psychological distress in a community sample of adults

被引:30
作者
Tullett-Prado, Deon [1 ]
Doley, Jo R. R. [1 ]
Zarate, Daniel [2 ]
Gomez, Rapson [3 ]
Stavropoulos, Vasileios [2 ,4 ]
机构
[1] Victoria Univ, Inst Hlth & Sport, Melbourne, Australia
[2] RMIT, Melbourne, Australia
[3] Federat Univ, Ballarat, Australia
[4] Natl & Kapodistrian Univ Athens, Athens, Greece
基金
澳大利亚研究理事会;
关键词
Longitudinal network analysis; Psychological distress; Social media addiction; UNIVERSITY-STUDENTS; DEPRESSIVE SYMPTOMS; YOUNG-ADULTS; FACEBOOK;
D O I
10.1186/s12888-023-04985-5
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
BackgroundProblematic social media use has been identified as negatively impacting psychological and everyday functioning and has been identified as a possible behavioural addiction (social media addiction; SMA). Whether SMA can be classified as a distinct behavioural addiction has been debated within the literature, with some regarding SMA as a premature pathologisation of ordinary social media use behaviour and suggesting there is little evidence for its use as a category of clinical concern. This study aimed to understand the relationship between proposed symptoms of SMA and psychological distress and examine these over time in a longitudinal network analysis, in order better understand whether SMA warrants classification as a unique pathology unique from general distress.MethodN = 462 adults (M-age = 30.8, SDage = 9.23, 69.3% males, 29% females, 1.9% other sex or gender) completed measures of social media addiction (Bergen Social Media Addiction Scale), and psychological distress (DASS-21) at two time points, twelve months apart. Data were analysed using network analysis (NA) to explore SMA symptoms and psychological distress. Specifically, NA allows to assess the 'influence' and pathways of influence of each symptom in the network both cross-sectionally at each time point, as well as over time.ResultsSMA symptoms were found to be stable cross-sectionally over time, and were associated with, yet distinct, from, depression, anxiety and stress. The most central symptoms within the network were tolerance and mood-modification in terms of expected influence and closeness respectively. Depression symptoms appeared to have less of a formative effect on SMA symptoms than anxiety and stress.ConclusionsOur findings support the conceptualisation of SMA as a distinct construct occurring based on an underpinning network cluster of behaviours and a distinct association between SMA symptoms and distress. Further replications of these findings, however, are needed to strengthen the evidence for SMA as a unique behavioural addiction.
引用
收藏
页数:27
相关论文
共 63 条
[1]   Internet Gaming Disorder Behaviors in Emergent Adulthood: a Pilot Study Examining the Interplay Between Anxiety and Family Cohesion [J].
Adams, Baxter L. M. ;
Stavropoulos, Vasilis ;
Burleigh, Tyrone L. ;
Liew, Lucas W. L. ;
Beard, Charlotte L. ;
Griffiths, Mark D. .
INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION, 2019, 17 (04) :828-844
[2]  
Anderson EL, 2017, INT J ADOLESC YOUTH, V22, P430, DOI 10.1080/02673843.2016.1227716
[3]   DEVELOPMENT OF A FACEBOOK ADDICTION SCALE [J].
Andreassen, Cecile Schou ;
Torsheim, Torbjorn ;
Brunborg, Geir Scott ;
Pallesen, Stale .
PSYCHOLOGICAL REPORTS, 2012, 110 (02) :501-517
[4]   The Relationship Between Addictive Use of Social Media and Video Games and Symptoms of Psychiatric Disorders: A Large-Scale Cross-Sectional Study [J].
Andreassen, Cecilie Schou ;
Billieux, Joel ;
Griffiths, Mark D. ;
Kuss, Daria J. ;
Demetrovics, Zsolt ;
Mazzoni, Elvis ;
Pallesen, Stale .
PSYCHOLOGY OF ADDICTIVE BEHAVIORS, 2016, 30 (02) :252-262
[5]   Problematic Social Media Use: Results from a Large-Scale Nationally Representative Adolescent Sample [J].
Banyai, Fanni ;
Zsila, Agnes ;
Kiraly, Orsolya ;
Maraz, Aniko ;
Elekes, Zsuzsanna ;
Griffiths, Mark D. ;
Andreassen, Cecilie Schou ;
Demetrovics, Zsolt .
PLOS ONE, 2017, 12 (01)
[6]   Network analysis of depression and anxiety symptom relationships in a psychiatric sample [J].
Beard, C. ;
Millner, A. J. ;
Forgeard, M. J. C. ;
Fried, E. I. ;
Hsu, K. J. ;
Treadway, M. T. ;
Leonard, C. V. ;
Kertz, S. J. ;
Bjoegvinsson, T. .
PSYCHOLOGICAL MEDICINE, 2016, 46 (16) :3359-3369
[7]   Centrality and network flow [J].
Borgatti, SP .
SOCIAL NETWORKS, 2005, 27 (01) :55-71
[8]   Network Analysis: An Integrative Approach to the Structure of Psychopathology [J].
Borsboom, Denny ;
Cramer, Angelique O. J. .
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9, 2013, 9 :91-121
[9]   Tell me why are you using social media (SM)! Relationship between reasons for use of SM, SM flow, daily stress, depression, anxiety, and addictive SM use - An exploratory investigation of young adults in Germany [J].
Brailovskaia, Julia ;
Schillack, Holger ;
Margraf, Juergen .
COMPUTERS IN HUMAN BEHAVIOR, 2020, 113
[10]   A critical consideration of social networking sites' addiction potential [J].
Carbonell, Xavier ;
Panova, Tayana .
ADDICTION RESEARCH & THEORY, 2017, 25 (01) :48-57