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

The "Vicious Circle of addictive Social Media Use and Mental Health" Model

Social media use (SMU) is a significant part of many people's everyday life. Research around the globe describes an increase of addictive SMU tendencies since the COVID-19 outbreak. The present work combines available findings in the "Vicious Circle of addictive Social Media Use and Mental Health" model to explain how social media (SM) activity can contribute to the development of addictive tendencies, which consequences they have for mental health, and how to prevent them. Following the model, the interplay between the risk factors negative experiences caused by daily hassles and by unexpected global and traumatic events, SMU (dimension "quality"), and SM flow can directly contribute to addictive SMU through the "vicious circle". Time spent on SMU (dimension "quantity"), symptoms of depression and anxiety, and the personality trait narcissism contribute to the circle as moderators. Symptoms of stress, insomnia, and suicide-related outcomes are described as potential consequences of addictive SMU. Based on longitudinal intervention studies, a conscious reduction of SMU time and an increase of physical activity, as well as positive mental health and mindfulness are identified as protective factors that reduce the risk of addictive tendencies. The model contributes to a better understanding of addictive SMU. Implications of the model for future research and praxis, specifically for mental health programs and therapeutic treatment are discussed.

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.

Measurement Invariance of the Lemmens Internet Gaming Disorder Scale-9 Across Age, Gender, and Respondents

Although Internet gaming disorder (IGD) has gained increased attention in scientific, clinical, and community contexts, there is still a lack of consensus regarding the best assessment tools (i.e., self-report or other reports) for assessing its symptoms. The present study aimed to investigate the reliability, validity, and measurement invariance of both versions (youth and parent) of The Lemmens Internet Gaming Disorder Scale-9. To achieve this goal, we recruited between June and October 2019 from five Romanian highschools a total of 697 adolescents (11-19 years old) and one of their parents (N = 391). The internal consistency was good in both versions of the instrument (α = 0.772 for the youth version and α = 0.781 for the parent version). Construct validity assessed through confirmatory factor analysis showed support for the one factor structure of the scales, while multigroup confirmatory factor analysis endorsed the invariance across age, gender, and respondents (i.e., parent vs. youth report). The current research identifies both IGD scales to be reliable and valid, arguing for their utility for assessing IGD symptomatology among adolescents. Implications for theory, assessment, and future directions are discussed.

Predictors of problematic smartphone use among young adult lesbian, gay and bisexual individuals during the COVID-19 pandemic: a four-year follow-up study

BACKGROUND

This 4-year follow-up study was conducted to evaluate the predictive effects of prepandemic individual and environmental factors on problematic smartphone use (PSU) among young adult lesbian, gay, and bisexual (LGB) individuals during the COVID-19 pandemic.

METHODS

Data on prepandemic PSU, demographics, sexual stigma (e.g., perceived sexual stigma from family members, internalized sexual stigma, and sexual microaggression), self-identity confusion (e.g., disturbed identity, unconsolidated identity, and lack of identity), anxiety, depression, and family support were collected from 1,000 LGB individuals between August 2018 and June 2019. The participants' PSU was surveyed again after 4 years (between August 2022 and June 2023). The associations of prepandemic individual and environmental factors with PSU at follow-up were analyzed through linear regression.

RESULTS

In total, 673 (67.3%) participants completed the follow-up assessment. The severity of PSU significantly decreased after 4 years (p = .001). Before the incorporation of PSU at baseline into the analysis model, the results of the model revealed that high levels depressive symptoms (p < .001), disturbed identity (p < .001), and perceived sexual stigma from family members (p = .025) at baseline were significantly associated with PSU at follow-up. After the incorporation of PSU at baseline into the analysis model, the results of the model revealed that high levels PSU (p < .001) and depressive symptoms (p = .002) at baseline were significantly associated with PSU at follow-up.

CONCLUSION

Interventions aimed at reducing the severity of PSU among LGB individuals should be designed considering the predictors identified in our study.

The unique role of smartphone addiction and related factors among university students: a model based on cross-sectional and cross-lagged network analyses

Smartphone addiction is a global problem affecting university students. Previous studies have explored smartphone addiction and related factors using latent variables. In contrast, this study examines the role of smartphone addiction and related factors among university students using a cross-sectional and cross-lagged panel network analysis model at the level of manifest variables. A questionnaire method was used to investigate smartphone addiction and related factors twice with nearly six-month intervals among 1564 first-year university students (M = 19.14, SD = 0.66). The study found that procrastination behavior, academic burnout, self-control, fear of missing out, social anxiety, and self-esteem directly influenced smartphone addiction. Additionally, smartphone addiction predicted the level of self-control, academic burnout, social anxiety, and perceived social support among university students. Self-control exhibited the strongest predictive relationship with smartphone addiction. Overall, self-control, self-esteem, perceived social support, and academic burnout were identified as key factors influencing smartphone addiction among university students. Developing prevention and intervention programs that target these core influencing factors would be more cost-effective.