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Background: Substance use is an important issue worldwide and people with substance use disorders (SUDs) have been reported to have high levels of psychological distress and self-stigma. Therefore, psychological distress and self-stigma in people with SUDs are considerable. Objective: The present study used a longitudinal design to examine whether treatment-as-usual approaches in Taiwan improve psychological distress and self-stigma among people with three types of SUDs (heroin, amphetamine, and alcohol use disorders). Design: A 9-month longitudinal design involving four assessments spaced 3 months apart. Methods: Convenience sampling was used to recruit people with heroin (n = 112), amphetamine (n = 151), and alcohol (n = 56) use disorders from outpatient psychiatric center in Southern Taiwan. Psychological distress was assessed using the Depression, Anxiety, Stress Scale (DASS-21), and self-stigma was assessed using the Self-Stigma Scale–Short (SSS-S). Generalized estimating equation (GEE) models were constructed to understand between-group differences in psychological distress and self-stigma over time. Results: Patients with heroin and amphetamine use disorders had lower levels of psychological distress as compared with those with alcohol use disorder. Levels of psychological distress were lower at Time 2 to Time 4 as compared with Time 1. Patients with heroin and amphetamine use disorders had higher levels of self-stigma as compared with those with alcohol use disorder. Self-stigma levels remained stable over time. The dropout rate of receiving treatment-as-usual approach in the 9-month study was 60%. Conclusion: Treatment as usual for SUDs among outpatients in Taiwan may decrease psychological distress but not self-stigma. However, such effects need to be further examined given the high drop-out rates and absence of a control condition. The findings suggest that self-stigma may warrant additional treatment for patients with SUDs.

Self-stigma is a common experience for people with substance use disorders (SUDs). Understanding factors associated with self-stigma may aid in intervention development. This study investigated the reciprocal relationship between three types of problematic use of the internet [PUI; i.e. problematic use of social media (PUSM), problematic smartphone use (PSPU), and problematic gaming (PG)] and self-stigma among people with SUDs. This longitudinal study involved five waves of a survey given to individuals with SUDs in Taiwan. A total of 319 participants (85% male), with a mean age of 42.2 years (SD = 8.9), were recruited. The Smartphone Application-Based Addiction Scale, Bergen Social Media Addiction Scale, Internet Gaming Disorder-Short Form, and Self-Stigma Scale-Short Form were used. No significant associations between PUI and self-stigma were found in early waves (i.e., Waves 1 and 2). The earliest significant finding was identified between Wave 2 PSPU (smartphone) and Wave 3 self-stigma. Additionally, Wave 3 PSPU (smartphone) and PG (gaming) were associated with Wave 4 self-stigma, and Wave 4 PSPU (smartphone), PG (gaming), and PUSM (social media) were associated with Wave 5 self-stigma. Therefore, all three types of PUI (internet) may elevate self-stigma at different time points for individuals with SUDs. However, the reciprocal effects between self-stigma and PUI (internet) only occurred in PUSM (social media) at a later stage (i.e., from Wave 4 to Wave 5). In conclusion, people with SUDs who have PUI (internet) are at increased likelihood of developing more self-stigma, which may then increase subsequent PUSM (social media), forming a vicious cycle.

Background and aims: Individuals with schizophrenia may often experience poor sleep, self-stigma, impaired social functions, and problematic smartphone use. However, the temporal relationships between these factors have not been investigated. The present study used a longitudinal design to examine potential mediating roles of poor sleep and self-stigma in associations between problematic smartphone use and impaired social functions among individuals with schizophrenia. Methods: From April 2019 to August 2021, 193 individuals with schizophrenia (mean [SD] age = 41.34 [9.01] years; 88 [45.6%] males) were recruited and asked to complete three psychometric scales: the Smartphone Application-Based Addiction Scale to assess problematic smartphone use; the Pittsburgh Sleep Quality Index to assess sleep quality; and the Self-Stigma Scale-Short Scale to assess self-stigma. Social functioning was evaluated by a psychiatrist using the Personal and Social Performance Scale. All measures were assessed five times (one baseline and four follow-ups) at three-month intervals between assessments. Results: General estimating equations found that problematic smartphone use (coefficient =-0.096, SE = 0.021; P < 0.001), sleep quality (coefficient =-0.134, SE = 0.038; P < 0.001), and self-stigma (coefficient =-0.612, SE = 0.192; P = 0.001) were significant statistical predictors for social functioning. Moreover, sleep quality and self-stigma mediated associations between problematic smartphone use and social functioning. Conclusion: Problematic smartphone use appears to impact social functioning longitudinally among individuals with schizophrenia via poor sleep and self-stigma concerns. Interventions aimed at reducing problematic smartphone use, improving sleep, and addressing self-stigma may help improve social functioning among individuals with schizophrenia.

What is known on the subject?: Individuals diagnosed with substance use disorders may perceive stigma and suffer from mental health problems. Perceived stigma is related to poor mental health among individuals diagnosed with substance use disorders. The social support deterioration deterrence model proposes that stressors (e.g. perceived stigma) negatively affect mental health via reduced perceived social support. To the best of the present authors’ knowledge, the model has never been tested in the context of perceived stigma among individuals diagnosed with substance use disorders. What the paper adds to existing knowledge?: The paper used structural equation modelling to show that the social support deterioration deterrence model could explain the relationship between perceived stigma and depression among individuals diagnosed with substance use disorders. Perceived support from family and perceived support from friends are mediators in the association between perceived stigma and depression among individuals diagnosed with substance use disorders. What are the implications for practice?: Psychosocial interventions to increase perceived support from family and friends would be helpful in addressing perceived stigma effects on mental health. Abstract: Introduction Although the relationship between perceived stigma and mental health outcomes is documented in the existing literature, very few studies have investigated the mechanism linking perceived stigma and mental health outcomes among individuals diagnosed with substance use disorders. To the best of the present authors’ knowledge, the social support deterioration deterrence model has never been tested in the context of perceived stigma among individuals diagnosed with substance use disorders. Aim/Question Guided by the social support deterioration deterrence model, the present study investigated the mediating role of perceived support from three types of social network members (i.e. significant others, family me

Fear of novel coronavirus 2019 (COVID-19) may result in psychological health problems among different populations. Moreover, believing COVID-19 information and preventive COVID-19 infection behaviors are relevant constructs associated with fear of COVID-19. Therefore, the present study validated three instruments assessing fear, beliefs, and preventive behaviors related to COVID-19 among individuals with mental illness. Moreover, relationships between the three constructs were examined. Individuals with mental illness (N = 400; 178 females; mean age = 46.91 years) completed the Fear of COVID-19 Scale (FCV-19S), Believing COVID-19 Information Scale (BCIS), Preventive COVID-19 Infection Behaviors Scale (PCIBS), and Depression Anxiety Stress Scale-21 (DASS-21). The FCV-19S, BCIS, and PCIBS demonstrated a single-factor structure with satisfactory fit indices. Moreover, believing COVID-19 information positively and significantly associated with fear of COVID-19, and fear of COVID-19 negatively and significantly associated with preventive behaviors and positively and significantly associated with psychological distress. The FCV-19S, BCIS, and PCIBS may assist healthcare providers in assessing COVID-19-related information among individuals with mental illness. Consequently, relevant programs may be designed to help individuals with mental illness going through the period of crisis.