The COVID-19 pandemic changed people's lifestyles and such changed lifestyles included the potential of increasing addictive behaviors. The present systematic review and meta-analysis aimed to estimate the prevalence of different behavioral addictions (i.e., internet addiction, smartphone addiction, gaming addiction, social media addiction, food addiction, exercise addiction, gambling addiction, and shopping addiction) both overall and separately.Four databases (PubMed, Scopus, ISI Web of Knowledge, and ProQuest) were searched. Peer-reviewed papers published in English between December 2019 and July 2022 were reviewed and analyzed. Search terms were selected using PECO-S criteria: population (no limitation in participants' characteristics), exposure (COVID-19 pandemic), comparison (healthy populations), outcome (frequency or prevalence of behavioral addiction), and study design (observational study). A total of 94 studies with 237,657 participants from 40 different countries (mean age 25.02 years; 57.41% females). The overall prevalence of behavioral addiction irrespective of addiction type (after correcting for publication bias) was 11.1% (95% CI: 5.4 to 16.8%). The prevalence rates for each separate behavioral addiction (after correcting for publication bias) were 10.6% for internet addiction, 30.7% for smartphone addiction, 5.3% for gaming addiction, 15.1% for social media addiction, 21% for food addiction, 9.4% for sex addiction, 7% for exercise addiction, 7.2% for gambling addiction, and 7.2% for shopping addiction. In the lockdown periods, prevalence of food addiction, gaming addiction, and social media addiction was higher compared to non-lockdown periods. Smartphone and social media addiction was associated with methodological quality of studies (i.e., the higher the risk of boas, the higher the prevalence rate). Other associated factors of social media addiction were the percentage of female participants, mean age of participants, percentage of individuals using the internet in country, and developing status of country. The percentage of individuals in the population using the internet was associated with all the prevalence of behavioral addiction overall and the prevalence of sex addiction and gambling addiction. Gaming addiction prevalence was associated with data collection method (online vs. other methods) that is gaming addiction prevalence was much lower using online methods to collect the data.Behavioral addictions appeared to be potential health issues during the COVID-19 pandemic. Healthcare providers and government authorities should foster some campaigns that assist people in coping with stress during COVID-19 pandemics to prevent them from developing behavioral addictions during COVID-19 and subsequent pandemics.The online version contains supplementary material available at 10.1007/s40429-022-00435-6. 

/pdf/estimation-of-behavioral-addiction-prevalence-during-covid-2y1nszwa.pdf

Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis

Abstract The advent and development of technologies such as artificial intelligence have created benefits and challenges for educational stakeholders. Artificial intelligence, such as OpenAI’s Chat Generative Pre-trained Transformer (ChatGPT), has brought new benefits, challenges and pressures for higher educational institutions. There are relatively few reports of how students perceive and intend to use ChatGPT. Taking cognizance of these, the research explored students’ perceptions and intentions to use ChatGPT in their higher education. Guided by two hypotheses and a mixed-method approach, the analysis revealed no statistical relationship between perception and intention to use ChatGPT. Despite this statistical relationship, the study reported students’ positive perceptions towards ChatGPT, and intentions to use ChatGPT and advocated its adoption in education. Based on these findings, the study offers implications for educational practices and further research.

pdf/from-the-consumers-side-determining-students-perception-and-1fp1yihz.pdf

From the Consumers’ Side: Determining Students’ Perception and Intention to Use ChatGPT in Ghanaian Higher Education

Abstract The advent and development of technologies such as artificial intelligence have created benefits and challenges for educational stakeholders. Artificial intelligence, such as OpenAI’s Chat Generative Pre-trained Transformer (ChatGPT), has brought new benefits, challenges and pressures for higher educational institutions. There are relatively few reports of how students perceive and intend to use ChatGPT. Taking cognizance of these, the research explored students’ perceptions and intentions to use ChatGPT in their higher education. Guided by two hypotheses and a mixed-method approach, the analysis revealed no statistical relationship between perception and intention to use ChatGPT. Despite this statistical relationship, the study reported students’ positive perceptions towards ChatGPT, and intentions to use ChatGPT and advocated its adoption in education. Based on these findings, the study offers implications for educational practices and further research. 

/pdf/from-the-consumers-side-determining-students-perception-and-2nb1koza.pdf

Background: Research suggests that changes in social support and loneliness have affected mental disorder symptoms during the COVID-19 pandemic. However, there are a lack of studies comparing the robustness of these associations. Aims: The aims were to estimate the strength of the associations of loneliness and social support with symptoms of depression, anxiety, and posttraumatic stress during the COVID-19 pandemic (2020–2022) in the general population. Method: The method entailed a systematic review and random-effects meta-analysis of quantitative studies. Results: Seventy-three studies were included in the meta-analysis. The pooled correlations of the effect size of the association of loneliness with symptoms of depression, anxiety, and posttraumatic stress were 0.49, 0.40, and 0.38, respectively. The corresponding figures for social support were 0.29, 0.19, and 0.18, respectively. Subgroup analyses revealed that the strength of some associations could be influenced by the sociodemographic characteristics of the study samples, such as age, gender, region, and COVID-19 stringency index, and by methodological moderators, such as sample size, collection date, methodological quality, and the measurement scales. Conclusions: Social support had a weak association with mental disorder symptoms during the COVID-19 pandemic while the association with loneliness was moderate. Strategies to address loneliness could be highly effective in reducing the impact of the pandemic on social relationships and mental health.

/pdf/the-association-of-social-support-and-loneliness-with-1lw9dgzk.pdf

The Association of Social Support and Loneliness with Symptoms of Depression, Anxiety, and Posttraumatic Stress during the COVID-19 Pandemic: A Meta-Analysis

COVID-19 pandemic-related perceived risk of infection, illness fears, acute stress, emotional anxiety, exhaustion, and fatigue, psychological trauma and depressive symptoms, and sustained psychological distress can cause smartphone addiction risk and lead to technology-related cognitive, emotional, and behavioral disorders, thus impacting psychological well-being. Behavioral addiction of smartphone users can result in anxiety symptom severity, psychiatric symptoms, and depressive stress. We carried out a quantitative literature review of the Web of Science, Scopus, and ProQuest throughout June 2022, with search terms including “smartphone addiction + COVID-19” + “stress,” “anxiety,” “depression,” “psychological distress,” “screen time,” and “fear.” As we analyzed only articles published between 2020 and 2022, 288 papers met the eligibility criteria. By excluding sources with similar titles, having unclear findings or unsupported by replication, or displaying inconsistent content, we selected 64, mainly empirical, sources. We used layout algorithms (VOSviewer) and bibliometric mapping (Dimensions) as data visualization tools. Assessing the Methodological Quality of Systematic Reviews (AMSTAR), a systematic review and literature review software (Distiller SR), Mixed Methods Appraisal Tool (MMAT), and Systematic Review Data Repository (SRDR) were employed as methodological quality assessment tools. As limitations, we analyzed only articles published between 2020 and 2022 in scholarly outlets indexed in the Web of Science, Scopus, and ProQuest databases. The scope of our study also does not advance the inspection of sources covering vulnerable individuals suffering from certain diseases or specific generations. Subsequent analyses should develop on smartphone use and addiction among children and adolescents. Future research should thus investigate problematic smartphone use and addiction across generations Z and Alpha. Attention should be directed to their personality traits and psychopathological symptoms.

/pdf/smartphone-addiction-risk-technology-related-behaviors-and-3t514i7z.pdf

Smartphone addiction risk, technology-related behaviors and attitudes, and psychological well-being during the COVID-19 pandemic

Nomogram predicting bullying victimization in adolescents.

http://www.psychiatricnursing.org/article/S0883941722000255/pdf

Psychological distress and internet addiction following the COVID-19 outbreak: Fear of missing out and boredom proneness as mediators

Abstract This study aimed to explore the combination of different conditional variables that led to depressive symptoms among frontline nurses who were fought against COVID‐19 during the outbreak in Wuhan City, Hubei Province of China. The study was conducted in August 2020, which included 331 frontline clinical nurses who supported Wuhan's fight against COVID‐19. The age range was 21–57 years and included 315 female nurses and 16 male nurses. This study used the fuzzy‐set qualitative comparative analysis research method to explore the path of depression among frontline nurses. This study generated nine different configurations for the path of depression among frontline nurses, and had a detailed demonstration for each configuration. Each configuration distinguishes the different effects of influencing factors. For example, in the first configuration, gender, sleep disorder and PTSD exist as core conditions, while social support exists as a core condition lack. This study was presented results which was different what linear regression model reports. It takes into consideration the combined effect of each conditional variable on the development of depression. Nurse managers should pay attention to the combination of multiple influencing factors, instead of focus on single factors.

https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/inm.13033

The path of depression among frontline nurses during COVID‐19 pandemic: A fuzzy‐set qualitative comparative analysis

The study was to compare the performance of the regression models and fuzzy set qualitative comparative analysis (fsQCA) models in analyzing the possible effects of sociodemographic variables (age and sex) and lifestyle behaviors (physical activity, sedentary time, sleep duration, physical education class and screen time) on depressive symptoms in adolescents. This cross-sectional surgery was conducted among 726 adolescents in Jilin Province of China, selected by random cluster sampling. The regression model showed that age, physical education (PE) class and sleep duration were associated with depressive symptoms. Meanwhile, the fsQCA models showed that shorter physical activity, PE class and sleep duration as well as longer sedentary and screen time were related to higher levels of depressive symptoms. Both regression and fsQCA models indicated that promoting lifestyle behaviors could affect depressive symptoms. Considering the differences between the two methods, they are not superior to the other method, but complementary and should be used in other studies at the same time.

Lifestyle Behaviors and Depressive Symptoms in Chinese Adolescents Using Regression and fsQCA Models

Relationship of night sleep duration with health lifestyle, depressive symptoms, internet addiction in Chinese High school Students

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