Unravelling the web of addictions: A network analysis approach

Problematic Shopping Behavior: An Item Response Theory Examination of the Seven-Item Bergen Shopping Addiction Scale

“…Previous research has identified negative consequences associated with PSB (e.g., financial solvency, compromised social relationships, psychological distress), suggesting the recognition of shopping addiction as a distinct behavioral addiction in psychopathology classification manuals such as the DSM-5 or ICD-11 (Andreassen et al, 2018 ; APA, 2013 ; Dittmar, 2005 ; Griffiths, 1996 , 2017 , 2018 ; Hartston, 2012 ; Uzarska et al, 2021 ; WHO, 2019 ; Zarate et al, 2022 ; Zhao et al, 2017 ). However, concerns have also been raised regarding the potential risk of over-pathologizing common behaviors (e.g., work, exercise, sex), suggesting that problematic behaviors are likely to manifest when individuals engage in subjectively enjoyable activities (Kardefelt-Winther et al, 2017 ; Niedermoser et al, 2021 ).…”

Suicidal behaviors in the entertainment industry: a preliminary exploration of the interplay between work scheduling, social support, and wellbeing in Australia

“…Fifthly, the current study specifically focused on the associations between psychological wellbeing, WSI and social support on suicidal behaviors; however, many other protective (e.g., coping strategies, or access to appropriate mental healthcare) and risk factors (e.g., income, alcohol and drugs, or previously diagnosed mental illness) influencing suicidal thoughts and behavior could be considered to provide a more systematic and more holistic approach to suicidal behaviors. For example, a prospective network analysis approach may enable simultaneously and comparatively assessing the effect of multiple such variables on suicidal behaviors [30]. Sixthly, the results reported here should be interpreted with caution, considering that suicide ideation was treated as a latent variable (i.e., composite score of three related questions) and limited empirical validity supports this methodological approach.…”

Psychometric properties of the Bergen Social Media Addiction Scale: An analysis using item response theory

“…Considering such limitations, future studies should address broader binary-gender and gender diverse differences at the item level to better understand variations in PSMU and severity (for example via IRT-DIF or Network Analyses approaches [ Zarate, Ball, Montag, Prokofieva, and Stavropoulos, 2022 ]). Moreover, addressing age differences with a more evenly distributed sample may also further the understanding of prevalence and risk of PSMU and the application of the BSMAS among older age groups (>30 years).…”