Online behavioral addictions: Longitudinal network analysis and invariance across men and women.

Zarate, Daniel; Dorman, Genevieve; Prokofieva, Maria; Morda, Romana; Stavropoulos, Vasileios

doi:10.1037/tmb0000105

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…Specifically, the NCT utilizes random permutation testing to evaluate network structure invariance. This involves comparing the largest absolute difference ( M ) between two matrices (G1 and G2) with the distribution of permuted M , where a significance level of p < .05 indicates evidence of noninvariance (Zarate et al, 2023). Furthermore, to assess global strength invariance, the NCT employs random permutation testing to compare the difference ( S ) in the absolute sum of all edges between matrices G1 and G2, with a significance level of p < .05, indicating evidence of noninvariance.…”

Section: Resultsmentioning

confidence: 99%

Network analyses of the domains and items of Personality Inventory for the Diagnostic and Statistical Manual of Mental Disorders, fifth edition–Brief Form (PID-5-BF).

Gomez,

Hein,

Watson

et al. 2024

Canadian Journal of Behavioural Science / Revue canadienne des

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Section: Resultsmentioning

confidence: 99%

Network analyses of the domains and items of Personality Inventory for the Diagnostic and Statistical Manual of Mental Disorders, fifth edition–Brief Form (PID-5-BF).

Gomez,

Hein,

Watson

et al. 2024

Canadian Journal of Behavioural Science / Revue canadienne des

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Problematic Pornography Use: Can It Be Accurately Measured via the Problematic Pornography Use Scale?

Zarate,

Allen,

Kannis-Dymand

et al. 2023

Int J Ment Health Addiction

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Pornography use has increased its popularity worldwide, raising concerns about potential disordered use. Considering the lack of recognition in diagnostic manuals, conceptual clarification and the validation of robust instruments assessing this problem are much needed. The current study is aimed at assessing the psychometric properties of the Problematic Pornography Use Scale (PPUS). Exploratory and confirmatory analyses (EFA and CFA) were used to assess a four-factor and a bifactor solution. Additionally, this study used latent profile (LPA) and sensitivity analyses to determine suggested cut-off values to identify at-risk users. A large sample of adult pornography users completed the PPUS online (N = 1149). A four-factor solution as proposed by Kor and colleagues (Addictive Behaviors, 39(5), 861-868, Kor et al., Addictive Behaviors 39:861–868, 2014) was identified as the optimal factorial structure. Participants were classified into five profiles, with 3.9% identified as at-risk users, 19.9% as moderate to high risk. A cut-off value of 33 was suggested to accurately identify at-risk users. The PPUS is a multidimensional instrument, showing good adept ability to detect users at risk of problematic pornography use.

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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

et al. 2023

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Background Problematic 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. Method N = 462 adults (Mage = 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. Results SMA 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. Conclusions Our 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.

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Online behavioral addictions: Longitudinal network analysis and invariance across men and women.

Cited by 3 publications

References 33 publications

Network analyses of the domains and items of Personality Inventory for the Diagnostic and Statistical Manual of Mental Disorders, fifth edition–Brief Form (PID-5-BF).

Network analyses of the domains and items of Personality Inventory for the Diagnostic and Statistical Manual of Mental Disorders, fifth edition–Brief Form (PID-5-BF).

Problematic Pornography Use: Can It Be Accurately Measured via the Problematic Pornography Use Scale?

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

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