Comparisons of psychological distress and self-stigma among three types of substance use disorders receiving treatment-as-usual approaches: real-world data from a 9-month longitudinal study

Psychosocial Correlates of Motivation for Abstinence Among People Who Used Drugs After Community Rehabilitation Treatment in China: A Structural Equation Modelling

Background

Enhancing abstinence motivation of drugs is an effective strategy for the rehabilitation of people who used drugs and prevention of drug use relapse. However, little is known about its risk and protective factors. This study aimed to examine the potential intrapersonal (ie, impulsivity, depression, anxiety, sleep quality) and interpersonal factors (ie, perceived social support) of abstinence motivation among people who completed the community rehabilitation treatment.

Methods

A total of 222 participants (mean age = 43; male = 89.2%) were recruited from eleven communities located in Wenzhou, China. Data were collected using a self-reported questionnaire in counselling room settings between April and June 2021.

Results

The proportions of participants with depression, anxiety, and poor sleep quality were 38.8%, 19.5%, and 21.2%, respectively. Age and family history of physical disease were significant background factors of abstinence motivation. Impulsivity, depressive symptoms, anxiety symptoms, and poor quality of sleep were negatively associated with abstinence motivation. Perceived social support from family and important others was positively associated with abstinence motivation. Structural equation modeling fitted the data well in which impulsivity and perceived social support were both associated with abstinence motivation indirectly through mental health problems.

Conclusion

The identified psychosocial factors should be addressed in community rehabilitation treatment and follow-up service to enhance abstinence motivation and the long-term effectiveness of the treatment.

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

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.

Sleep Quality and Self-Stigma Mediate the Association Between Problematic Use of Social Media and Quality of Life Among People With Schizophrenia in Taiwan: A Longitudinal Study

OBJECTIVE

Problematic use of social media (PUSM) may affect sleep quality and self-stigma in people with schizophrenia and consequently reduce their quality of life (QoL). This longitudinal study investigated if sleep quality and self-stigma mediated relationships between PUSM and QoL.

METHODS

One-hundred-and-ninety-three outpatients with schizophrenia were recruited from a psychiatric center in Taiwan from April 2019 to August 2021 and participated in a longitudinal study at intervals of three months between measurements. QoL was assessed using the World Health Organization Quality of Life Questionnaire Brief Version; sleep quality using the Pittsburgh Sleep Quality Index; self-stigma using the Self-Stigma Scale-Short; and PUSM using the Bergen Social Media Addiction Scale. Via SPSS 20.0, general estimating equation models assessed temporal associations between variables. Via R software, mediating effects of self-stigma and sleep quality were examined through Monte Carlo simulations with 20,000 repetitions.

RESULTS

Mean scores of physical, psychological, social and environmental QoL ranged from 11.86 to 13.02. Mean scores of sleep quality and self-stigma were 9.1±4.5 and 2.2±0.8, respectively. Sleep quality and self-stigma were directly related to QoL (p<0.001) and mediated indirect relationships between PUSM and all components of QoL with a range of 95% confidence intervals spanning from -0.0591 to -0.0107 for physical QoL; -0.0564 to -0.0095 for psychological QoL; -0.0292 to -0.0035 for social QoL; and -0.0357 to -0.0052 for environmental QoL.

CONCLUSION

Sleep quality and self-stigma mediated relationships between PUSM and QoL in people with schizophrenia. Developing interventions targeting PUSM, sleep, and self-stigma may help improve QoL in people with schizophrenia.

The eleven-item Alcohol, Smoking and Substance Involvement Screening Test (ASSIST-11): Cross-cultural psychometric evaluation across 42 countries

The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) is an instrument to screen substance-use-related health risks. However, little is known whether the ASSIST could be further shortened while remaining psychometrically sound across different countries, languages, gender identities, and sexual-orientation-based groups. The study aimed to validate a shortened 11-item ASSIST (ASSIST-11). Using the International Sex Survey data, 82,243 participants (M age = 32.39 years) across 42 countries and 26 languages completed questions from the ASSIST-11 regarding gender identity, sexual orientation, and other information. Confirmatory factor analysis (CFA) and multigroup CFA (MGCFA) evaluated the ASSIST-11's structure and tested measurement invariance across groups. Cronbach's α and McDonald's ω were used to examine the internal consistency. Cohen's d and independent t-tests were used to examine known-group validity. The ASSIST-11 was unidimensional across countries, languages, age groups, gender identities (i.e., men, women, and gender-diverse individuals), and sexual orientations (i.e., heterosexual and sexual minority individuals). Cronbach's α was 0.63 and McDonald's ω was 0.68 for the ASSIST-11. Known-group validity was supported by Cohen's d (range between 0.23 and 0.40) with significant differences (p-values<0.001). The ASSIST-11 is a modified instrument with a unidimensional factor structure across different languages, age groups, countries, gender identities, and sexual orientations. The low internal consistency of the ASSIST-11 might be acceptable as it assesses a broad concept (i.e., use of several different substances). Healthcare providers and researchers may use the ASSIST-11 to quickly assess substance-use information from general populations and evaluate the need to follow up with more detailed questions about substance use.

The effect of time spent sitting and excessive gaming on the weight status, and perceived weight stigma among Taiwanese young adults

Background

During the COVID-19 pandemic, physical inactivity and sedentary behaviors (i.e., longer sitting time and excessive gaming) increased because governments across the globe adopted stringent mitigation strategies such as social distancing and lockdowns to curb the spread of the virus. Excessive gaming was one of the coping mechanisms used to deal with the pressure associated with the pandemic. Moreover, perceived weight stigma (PWS) and weight status became more salient concerns among young adults during the COVID-19 pandemic. The current study sought to investigate the relationship between time spent sitting, excessive gaming, weight status, and PWS of Taiwanese Young adults. Additionally, weight status and PWS were examined as mediators between both sedentary behaviors.

Methods

This cross-sectional study involved 600 participants who were recruited through Taiwan universities. All participants completed a demographic questionnaire (including weight and height) and self-report measures including the International Physical Activity Questionnaire short form (IPAQ-SF), the Perceived Weight Stigma Scale (PWSS), and the Internet Gaming Disorder Scale-short form (IGDS9-SF). PROCESS model was performed to test the potential mediation roles of weight status and PWS. Moreover, we categorized participants into two groups based on the sitting-time item in the IPAQ-SF: students whose sitting time was less than 8 h daily, and those more than 8 h daily.

Results

The group that had less than 8 h had significantly higher PWS and IGDS9-SF scores than the other group. Sitting time was negatively associated with weight status, PWS, and IGDS9-SF. Additionally, we found a significantly direct effect between time spent sitting and excessive gaming. Both weight status and PWS were significant mediators in the association between time spent sitting and excessive gaming.Conclusions: The present study demonstrated important negative correlates of excessive sedentary behaviors. Prevention efforts should focus on promoting physical activity and providing information to decrease sedentary behavior among university students.

Exploring mediational roles for self-stigma in associations between types of problematic use of internet and psychological distress in youth with ADHD

BACKGROUND

Several studies have linked the problematic use of the Internet (PUI) to psychological distress. Youth with attention deficit hyperactivity disorder (ADHD) are considered a particular disadvantaged population with a high risk of developing PUI, psychological distress, and self-stigma. Nonetheless, the interrelationships of PUI, self-stigma, and psychological distress in adolescents with ADHD are not well understood.

AIMS

This study investigated whether self-stigma mediates relationships between different forms of PUI, such as problematic gaming (PG), problematic social media use (PSMU), problematic smartphone use (PSPU), and psychological distress (i.e., depression, anxiety, and stress), in children with ADHD.

METHODS AND PROCEDURES

We recruited 100 youth with ADHD (mean age=10.80 [SD=3.07] years; 84 boys) from psychiatric outpatient clinics in Taiwan. All participants were assessed for PUI (via Internet Gaming Disorder-Short Form for PG, Bergan Social Medica Addiction Scale for PSMU, and Smartphone Application-Based Addiction Scale for PSPU), self-stigma (via Self-Stigma Short-Scale), and psychological distress (via Depression, Anxiety, Stress Scale).

OUTCOMES AND RESULTS

The results of path and bootstrapping analyses indicated that self-stigma mediated the associations between PSMU and PSPU, but not PG, and depression, anxiety, and stress.

CONCLUSIONS AND IMPLICATIONS

This study expands the extant literature by revealing that self-stigma mediates the association between specific forms of PUI and psychological distress in adolescents with ADHD. Interventions aimed at reducing self-stigma and PUI, particularly PSMU and PSPU, may help decrease psychological distress among adolescents with ADHD.

Temporal associations between depressive features and self-stigma in people with substance use disorders related to heroin, amphetamine, and alcohol use: a cross-lagged analysis

BACKGROUND

Depression is a mental health problem and substance use concerns are socially unacceptable behaviors. While depression and substance use may individually impact self-concept and social relationships, their co-occurrence can increase the risk of self-stigmatization. However, there is no evidence regarding how depression and self-stigma may influence each other over time. The aim of the current study was to evaluate the cross-sectional and longitudinal relationships between features of depression and self-stigma in people with substance use disorders.

METHODS

Overall, 319 individuals with substance use disorders (273 males) with a mean (± SD) age of 42.2 (± 8.9) years were recruited from a psychiatric center in Taiwan by convenience sampling. They were assessed for features of depression and self-stigma at four times over a period of nine months using the depression subscale of the Depression Anxiety Stress Scales (DASS-21) and Self-Stigma Scale-Short S (SSS-S), respectively. Repeated-measures analyses of variance, Pearson correlations and cross-lagged models using structural equation modeling examined cross-sectional and temporal associations between depression and self-stigma.

RESULTS

Positive cross-sectional associations were found between depressive features and all assessed forms of self-stigma over time (0.13 < r < 0.92). Three models of cross-lagged associations between different forms of self-stigma and depressive features indicated good fit indices (comparative fit index > 0.98). The direction of associations between depressive features towards self-stigma was stronger than the opposite direction.

CONCLUSION

Positive associations between depressive features and self-stigma were found in people with substance use disorders. Although these associations may be bidirectional longitudinally, the directions from depressive features to self-stigma may be stronger than the reverse directions, suggesting treatment of depression in earlier stages may prevent self-stigmatization and subsequent poor outcomes in people with substance use disorders.