4.5 Article

Problematic smartphone use and two types of problematic use of the internet and self-stigma among people with substance use disorders

期刊

ADDICTIVE BEHAVIORS
卷 147, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.addbeh.2023.107807

关键词

Internet addiction; Addictive behaviors; Videogaming; Smartphone; Social media; Substance use; Stigma

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Guided by the I-PACE model and a self-stigma framework, this study explored the relationships between cognitive and affective self-stigma, behavioral self-stigma, problematic use of internet, and problematic smartphone use among individuals with substance use disorders. The results showed that cognitive self-stigma was directly associated with behavioral self-stigma, while affective self-stigma was directly related to behavioral self-stigma, problematic use of internet, and problematic smartphone use. Furthermore, affective self-stigma mediated the relationship between cognitive self-stigma and behavioral self-stigma, problematic use of internet, and problematic smartphone use.
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 relation-ships 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 (8 = 0.24-0.30; all p < 0.001); cognitive self-stigma was indirectly associated with behavioral self-stigma (8 = 0.53; 95 % bootstrapping CI = 0.46, 0.60), two types of PUI, and PSU (8 = 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.

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