Effects of sleep quality on the association between problematic internet use and quality of life in people with substance use disorder

Sleep quality and associated factors among people who inject drugs in Iran: a nationwide survey using respondent-driven sampling

BACKGROUND

Poor sleep quality is a significant issue among people who inject drugs (PWID). This study aimed to evaluate sleep quality and associated factors among PWID in Iran.

METHODS

Using respondent-driven sampling, 2,652 PWID (2,563 male) were recruited in 11 major cities in Iran between 2019 and 2020. The Pittsburgh Sleep Quality Index was utilized to measure sleep quality, and logistic regression was used to assess associations in RDSAnalyst, a software designed for respondent-driven sampling.

RESULTS

The overall prevalence of poor sleep quality was 68.4% (68.3% among males and 70.2% among females). Married PWID had higher odds of poor sleep quality (Adjusted Odds Ratio (AOR): 1.41; 95% CI: 1.05, 1.91). Lack of access to sufficient food in the past 12 months was also associated with poor sleep quality (AOR: 1.73; 95% CI: 1.17, 2.57 for sometimes having no access, and AOR: 2.95; 95% CI: 1.93, 4.52 for always having no access compared to always having access). Additionally, good self-rated health was significantly associated with lower odds of poor sleep quality (AOR: 0.19; 95% CI: 0.11, 0.31).

CONCLUSION

Poor sleep quality is prevalent among PWID in Iran. It is recommended to mitigate the adverse effects of this issue and enhance the overall quality of life for PWID. Supportive interventions aimed at preventing and treating poor sleep quality, as well as improving overall health outcomes, are essential.

Sex differences of neural connectivity in internet gaming disorder and its association with sleep quality: an exploratory fMRI study

Objectives

Sex-specific differences in internet gaming disorder (IGD) neurophysiology remain underexplored. Here we investigated sex-related variability in regional homogeneity (ReHo) and functional connectivity (FC) in IGD and their correlations with sleep quality.

Methods

Resting-state functional magnetic resonance imaging (fMRI) scans were performed on 52 subjects with IGD and 50 healthy controls (HCs). Two-way ANOVA was used to examine sex and diagnosis interactions in ReHo and FC, followed by post-hoc analyses to explore FC biomarkers for different sexes.

Results

In ReHo analysis, the four groups showed significant sex and diagnosis interactions in the right middle frontal gyrus (rMFG). FC analysis with rMFG as the seed region revealed a significant sex and diagnosis interaction effect in FC of the rMFG with the bilateral postcentral gyrus (PoCG). In male IGD group, FC between the rMFG and the bilateral PoCG correlates strongly with daytime dysfunction score and the Pittsburgh sleep quality inventory (PSQI) total score.

Conclusion

These findings emphasize the importance of considering sexual dimorphism in the neurobiology of IGD, which might influence subsequent treatment strategies.

Association of quality of life with internet use and weight stigma across individuals with obesity and those without obesity: Role of self-perception

Weight status, weight stigma, and internet use are important factors impacting quality of life (QoL). However, little is known regarding how these factors interact in their association with QoL, and it is important to understand how self-perceived obesity and body mass index (BMI)-defined obesity may differentially impact QoL. We aimed to assess the associations between weight status (obesity vs. non-obesity, including both self-perceived and BMI-defined), weight stigma, internet use, and QoL. Cross-sectional data from the Taiwan Social Change Survey (N = 1604; mean age = 49.22; 52.93 % women) were used. All participants were classified as having obesity or not having obesity according to both self-perceived (self-perceived as 'too fat') and BMI-defined (≧27 kg/m2 as obesity) weight status. Results showed that the group with obesity (both BMI-defined and self-perceived) had significantly more internet time and lower physical QoL than the group without obesity. Those with self-perceived obesity, but not those with BMI-defined obesity, sought health information via the internet and used social media significantly more than the group without obesity. More internet time was associated with worse physical and mental QoL for the group with obesity regardless of BMI-defined or self-perceived status. Moreover, weight stigma was associated with worse mental QoL for the group with self-perceived obesity, but not for the group with BMI-defined obesity. Accordingly, being a person with obesity (self-defined, or based upon BMI) was associated with more internet time and poorer QoL. People with self-perceived obesity may have increased experience of weight stigma and greater internet use, factors that may contribute to their impaired QoL.

General Self-Efficacy in Association With Insomnia Symptoms and Suicidal Ideation Among Chinese Community-Based Population

Previous studies supported the association between insomnia symptoms and suicidal ideation in patients with mental or psychological diseases. This study aimed to examine the associations between insomnia symptoms, general self-efficacy, and suicidal ideation among community-based adult population. Standardized questionnaire was distributed to 2051 community-dwelling adults in Lishui district of Jiangsu Province in China, to assess their socio-demographics, insomnia symptoms, general self-efficacy, and suicidal ideation. Multiple binary logistic regression or linear regression and mediation analysis with bootstrap resampling method were performed. Results showed that the weighted prevalence of lifetime suicidal ideation was 6.38%. Insomnia symptom was associated with higher odds of suicidal ideation after adjusting for sociodemographics and mental health status (odds ratio [OR] = 2.85, and the OR of insomnia symptom with suicidal ideation decreased but remained significant after additionally adjusting for general self-efficacy (OR = 2.62). Participants with insomnia symptom were also significantly associated with lower general self-efficacy (β = -0.96), whereas higher general self-efficacy was associated with a lower odds of suicidal ideation (OR = 0.92). In conclusion, general self-efficacy was associated with both insomnia symptom and suicidal ideation among the community-dwelling adult population.

Relationship between problematic smartphone use and sleep problems: The roles of sleep-related compensatory health beliefs and bedtime procrastination

Objective

Concerns regarding sleep problems in emerging adults and their antecedents, such as problematic smartphone use (PSU), have been growing. This study tested the association between PSU and sleep problems and further investigated the mechanisms of this relationship based on the theory of compensatory health beliefs (CHBs).

Methods

This study included 999 participants (74.87% female) in China, aged 17 to 25 years (M = 21.16; standard deviation = 1.60), who voluntarily filled in an anonymous survey.

Results

The findings showed positive correlations between sleep problems and PSU, sleep-related CHBs, and bedtime procrastination (rs = .25-.52, p < .001). Furthermore, the positive link between PSU and sleep problems was mediated by bedtime procrastination alone (β=.21, 95% confidence interval (CI) [.17, .26]) or a serial path of sleep-related CHBs and bedtime procrastination (β=.04, 95% CI [.02, .05]).

Conclusion

This study provides a new perspective to understand the internal mechanism underlying the PSU-sleep problem link. Interventions for sleep disorders ought to consider the theoretical guidelines of the CHBs model to reduce the risk of bedtime procrastination and sleep disorders in emerging adults.

Evaluating the Aspects of Quality of Life in Individuals with Substance Use Disorder: A Systematic Review Based on the WHOQOL Questionnaire

Substance Use Disorder (SUD) has become a significant public health concern and it profoundly impacts an individual's quality of life (QOL). This systematic review aimed to assess the QOL among patients with SUD, and to understand the differential impact of SUD on physical, mental, social, and environmental QOL domains, considering a variety of substances and identifying key factors that influence these outcomes. A comprehensive search was conducted in PubMed, Web of Science, Cochrane, and Scopus in January 2023, covering literature published until December 2022. The QOL was assessed using the World Health Organization Quality of Life (WHOQOL) instrument and the brief version of the WHOQOL, identifying the same four domains of QOL (physical, mental, social, and environmental). A total of 19 studies were selected for inclusion in the systematic review, based on individuals' polysubstance use, and excluding those using only nicotine or alcohol. The analysis included 6079 patients, with only 40.3% women, and a mean age of 36.6 years. The substances most commonly involved in SUD were cocaine (47.1%), alcohol (46.3%), and amphetamine (43.6%), considering most individuals being polysubstance users. The highest variability in QOL scores was observed in the physical domain. Mental disorders were reported in 68.3% of the patients, while long-term use of drugs, criminal history, unemployment, and low levels of education were identified as significant predictors for lower QOL by some of the studies. Similarly, sleep problems and teeth decay were also identified as significant worsening factors for QOL. This systematic review highlights that the WHOQOL survey is widely accepted and applicable for individuals with SUD worldwide. The results suggest a substantial negative impact of SUD on the QOL of affected individuals. The findings underscore the need for comprehensive interventions to address the physical, psychological, social, and environmental dimensions of QOL among individuals with SUD.

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 hygiene behaviours mediate the association between health/e-health literacy and mental wellbeing

BACKGROUND

Health literacy and e-health literacy are important factors helping people shape awareness of health behaviours in different aspects, including sleep hygiene behaviours. Good sleep hygiene behaviours promote sleep quality and are beneficial to overall mental wellbeing.

OBJECTIVE

We aimed to examine if sleep hygiene behaviours may mediate the association between health literacy/e-health literacy and mental wellbeing.

METHODS

Adult Iranian subjects (n = 9775; mean [SD] age = 36.44 [11.97] years; 67.3% females) completed the Health Literacy Instrument for Adults, eHealth Literacy Scale, three items on sleep hygiene behaviour that have been used in prior research and the Short Warwick Edinburgh Mental Wellbeing Scale. Data were then subjected to structural equation modelling (SEM) including 500 bootstrapping resampling to examine whether sleep hygiene is a mediator in the relationship between health literacy/e-health literacy and mental wellbeing.

FINDINGS

Both health literacy and e-health literacy were significantly associated with mental wellbeing (r = .63 for health literacy and .39 for e-health literacy; p < .001) and sleep hygiene behaviours (r = .58 for health literacy and .36 for e-health literacy; p < .001). Sleep hygiene behaviours were significantly associated with mental wellbeing (r = .42; p < .001). Moreover, SEM that incorporated bootstrapping approaches indicated that sleep hygiene behaviours were significant mediators in the association between health literacy/e-health literacy and mental wellbeing.

CONCLUSIONS

We conclude that health literacy and e-health literacy are associated with mental health wellbeing in the Iranian population. Additionally, the association could be mediated via sleep hygiene behaviours.

PATIENT OR PUBLIC CONTRIBUTION

The study was co-designed with healthcare providers from the vice-Chancellor's Office for Health Affairs of Qazvin University of Medical Sciences as equal partners. Moreover, the women's health volunteers were involved in the design of the study.

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.

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.

Network analysis of internet gaming disorder, problematic social media use, problematic smartphone use, psychological distress, and meaning in life among adolescents

Background

Few studies have examined the connections between psychological distress, meaning in life, internet gaming disorder (IGD), problematic smartphone use (PSU), and problematic social media use (PSMU).

Methods

The central and bridging nodes of IGD, PSMU, and PSU symptoms were investigated using network analysis in China among 742 adolescents ( Mage = 15.39, SD = 1.68, range = 12–19; 53.23% female). The relationships between IGD, PSMU, and PSU and associated factors were investigated using a Directed Acyclic Graphs method.

Results

The results suggested that the central symptoms were withdrawal in IGD, mood modification in PSU, and tolerance in PSMU. Mood modification in IGD, mood modification in PSU, withdrawal in PSMU, and functional impairment in PSMU were the bridge symptoms. Males were more likely to experience symptoms of IGD than females, while females were more likely to need meaning than males. Stress is the root factor, while depression, meaning confusion, meaning anxiety, and meaning avoidance were closely associated with IGD, PSMU, and PSU.

Conclusions

The current research improved the understanding of IGD, PSMU, and PSU symptoms in teenagers and demonstrated the potential of dynamic systems perspectives on problematic use behaviors and stress/meaning-focused interventions.

Temporal associations between physical activity and three types of problematic use of the internet: A six-month longitudinal study

Background and aims

Internet use has become an important part of daily living. However, for a minority it may become problematic. Moreover, problematic use of the Internet/smartphone (PUIS) has been associated with low physical activity. The present study investigated the temporal associations between three types of PUIS (i.e., problematic smartphone use [PSPU], problematic social media use [PSMU] and problematic gaming [PG]) and physical activity among Taiwanese university students.

Methods

A six-month longitudinal survey study comprising three time points for assessments was conducted. From the original 974 participants, a total of 452 completed all three waves of an online survey comprising the International Physical Activity Questionnaire Short Form (IPAQ-SF) assessing physical activity level, Smartphone Application-Based Addiction Scale (SABAS) assessing PSPU, Bergen Social Media Addiction Scale (BSMAS) assessing PSMU, and Internet Gaming Disorder Short Form (IGDS9-SF) assessing PG.

Results

The linear mixed effects model found positive temporal associations of PSMU and PG with physical activity level (PSMU: B = 85.88, SE = 26.24; P = 0.001; PG: B = 36.81, SE = 15.17; P = 0.02). PSPU was not associated with physical activity level (B = 40.54, SE = 22.99; P = 0.08). Additionally, the prevalence rates were 44.4% for at-risk/PSPU, 24.6% for at-risk/PSMU, and 12.3% for at-risk/PG.

Discussion and Conclusions

PSMU and PG unexpectedly demonstrated correlations with higher physical activity level. The nature of these relationships warrants additional investigation into the underlying mechanisms in order to promote healthy lifestyles among university students.

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.

Temporal associations between problematic use of the internet and self-stigma among people with substance use disorders: A cross-lagged model across one year

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.