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Problematic smartphone use and two types of problematic use of the internet and self-stigma among people with substance use disorders
Graduate Institute of Social Work, National Taiwan Normal University, Taipei, Taiwan.
Department of Medical Research, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Institute of Environmental Toxin and Emerging Contaminant, Cheng Shiu University, Kaohsiung, Taiwan; Center for Environmental Toxin and Emerging-contaminant Research, Cheng Shiu University, Kaohsiung, Taiwan.
Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; Connecticut Mental Health Center, New Haven, CT, USA; Connecticut Council on Problem Gambling, Wethersfield, CT, USA; Child Study Center, Yale School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University, New Haven, CT, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA.
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2023 (English)In: Addictive Behaviours, ISSN 0306-4603, E-ISSN 1873-6327, Vol. 147, article id 107807Article in journal (Refereed) Published
Abstract [en]

BACKGROUND AND AIMS: Guided by the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and a self-stigma framework, this study aimed to investigate relationships between cognitive and affective self-stigma and behavioral self-stigma, problematic use of internet (PUI), and problematic smartphone use (PSU) among people with substance use disorders (SUDs). It also examined mediating roles for affective self-stigma in the relationships between cognitive self-stigma and behavioral self-stigma/PUI/PSU.

METHODS: Using a cross-sectional design, 530 participants diagnosed with SUDs in Taiwan were recruited from a psychiatric center in Taiwan. Mediation models were investigated using the Hayes' Process Macro Model 4.

RESULTS: Mediation analyses indicated that cognitive self-stigma was directly associated with behavioral self-stigma (p < 0.001), but not with either types of PUI or PSU (p-values ranging from 0.41 to 0.76). Affective self-stigma was directly related to behavioral self-stigma (p < 0.001), two types of PUI, and PSU (β = 0.24-0.30; all p < 0.001); cognitive self-stigma was indirectly associated with behavioral self-stigma (β = 0.53; 95  % bootstrapping CI = 0.46, 0.60), two types of PUI, and PSU (β = 0.20-0.25; 95  % bootstrapping CI = 0.08-0.14, 0.31-0.37) via a mediating effect of affective self-stigma.

DISCUSSION AND CONCLUSION: Findings support the I-PACE model in a self-stigma context. The findings also suggest that addressing affective self-stigma may help prevent or reduce behavioral self-stigma, PUI, and PSU among people with SUDs. Longitudinal studies are warranted to investigate over time relationships between self-stigma and PUI/PSU in people with SUDs.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 147, article id 107807
Keywords [en]
Addictive behaviors, Internet addiction, Smartphone, Social media, Stigma, Substance use, Videogaming
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:hj:diva-62325DOI: 10.1016/j.addbeh.2023.107807ISI: 001052035600001PubMedID: 37542974Scopus ID: 2-s2.0-85169896275Local ID: ;intsam;899434OAI: oai:DiVA.org:hj-62325DiVA, id: diva2:1792261
Available from: 2023-08-29 Created: 2023-08-29 Last updated: 2023-09-19Bibliographically approved

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Pakpour, Amir H.

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