Problematic Internet Use and Perceived Quality of Life: Findings from a Cross-Sectional Study Investigating Work-Time and Leisure-Time Internet Use

Problematic use of the internet as a predictor of oral health-related quality of life: the mediating role of lifestyles in Peruvian schoolchildren

BACKGROUND

The pervasiveness of the Internet in everyday life, especially among young people, has raised concerns about its effects on mental health, education, and, recently, oral health. Previous research has suggested a complex relationship between Problematic Internet Use (PIU), lifestyles, and oral health-related quality of life, highlighting the need to examine these interactions further. This study seeks to explore the PIU as a predictor of oral health-related quality of life and examine the mediating role of lifestyles between both in a sample of Peruvian schoolchildren.

METHODS

A cross-sectional study was carried out with 293 Peruvian students aged 12 to 17 years (M = 14.42, SD = 1.5), using structural equations to analyze the relationship between PIU, lifestyles, and quality of life related to oral health. The data collection procedure was through a face-to-face survey. Validated instruments measured PIU, lifestyles, and oral health-related quality of life. The study's theoretical model was analyzed through structural equation modeling with the MLR estimator. The fit assessment was performed using the comparative fit index (CFI), root mean square error of approximation (RMSEA), and standardized root mean square residual (SRMR).

RESULTS

They indicated significant correlations between PIU, lifestyles, and oral health-related quality of life. A negative influence of PIU on lifestyles (β = -0.30, p < .001) and on oral health-related quality of life (β = -0.35, p < .001) was observed, as well as a positive relationship between PIU and oral health-related quality of life (β = 0.29, p < .001). The mediation of lifestyles was statistically significant, suggesting that they mediate the relationship between PIU and oral health-related quality of life.

CONCLUSIONS

The study confirms that PIU can negatively affect adolescents' oral health-related quality of life, mediated by unhealthy lifestyles. It underlines the importance of promoting balanced Internet use and healthy lifestyles among young people to improve their oral well-being.

Exploring the relationship between coping styles and well-being among Chinese university students: A longitudinal study based on the transactional stress model

In the context of the COVID-19 pandemic, university students were exposed to increased stress, which significantly affected their well-being. This study examines the coping mechanisms employed by Chinese university students during this crisis, with a particular focus on the potential protective role of coping flexibility in maintaining their well-being. Using the transactional stress model and the dual-process theory of coping flexibility, this longitudinal study analyzed the responses of 206 Chinese university students at three measurement points in late 2022. The findings suggest that disruptions in daily life during the pandemic likely led students to engage in problematic internet use as a coping strategy, which subsequently led to reduced well-being. However, the study also shows that coping flexibility plays a crucial protective role in maintaining students' well-being. These findings highlight the urgent need for targeted interventions aimed at enhancing coping flexibility among university students, especially in the evolving post-pandemic landscape.

Empowering precise advertising with Fed-GANCC: A novel federated learning approach leveraging Generative Adversarial Networks and group clustering

In the realm of targeted advertising, the demand for precision is paramount, and the traditional centralized machine learning paradigm fails to address this necessity effectively. Two critical challenges persist in the current advertising ecosystem: the data privacy concerns leading to isolated data islands and the complexity in handling non-Independent and Identically Distributed (non-IID) data and concept drift due to the specificity and diversity in user behavior data. Current federated learning frameworks struggle to overcome these hurdles satisfactorily. This paper introduces Fed-GANCC, an innovative federated learning framework that synergizes Generative Adversarial Networks (GANs) and Group Clustering. The framework incorporates a user data augmentation algorithm predicated on adversarial generative networks to enrich user behavior data, curtail the impact of non-uniform data distribution, and enhance the applicability of the global machine learning model. Unlike traditional approaches, our framework offers user data augmentation algorithms based on adversarial generative networks, which not only enriches user behavior data but also reduces the challenges posed by non-uniform data distribution, thereby enhancing the applicability of the global machine learning (ML) model. The effectiveness of Fed-GANCC is distinctly showcased through experimental results, outperforming contemporary methods like FED-AVG and FED-SGD in terms of accuracy, loss value, and receiver operating characteristic (ROC) indicators within the same computing time. Experimental results vindicate the effectiveness of Fed-GANCC, revealing substantial enhancements in accuracy, loss value, and receiver operating characteristic (ROC) metrics compared to FED-AVG and FED-SGD given the same computational time. These outcomes underline Fed-GANCC's exceptional prowess in mitigating issues such as isolated data islands, non-IID data, and concept drift. With its novel approach to addressing the prevailing challenges in targeted advertising such as isolated data islands, non-IID data, and concept drift, the Fed-GANCC framework stands as a benchmark, paving the way for future advancements in federated learning solutions tailored for the advertising domain. The Fed-GANCC framework promises to offer pivotal insights for the future development of efficient and advanced federated learning solutions for targeted advertising.

Internet use time and subjective well-being during the COVID-19 outbreak: serial mediation of problematic internet use and self-esteem

The coronavirus disease (COVID-19) outbreak is a threat to adolescents' mental health and livelihoods, and lowers their subjective well-being (SWB). Expanding on previous literatures, this study examined whether internet use time was related to SWB and whether this relationship was mediated by problematic internet use (PIU) and self-esteem during the COVID-19 outbreak. In Taiwan, the COVID-19 epidemic broke out in February, 2020. During March 2 to 27, this study recruited a total of 1,060 adolescents from junior high schools by both stratified and cluster sampling, and administered a comprehensive investigation. The results displayed that SWB was significantly and negatively predicted by internet use time. PIU fully mediated the relationship. Moreover, PIU predicted a decrease of self-esteem, which played a full mediation role between PIU and SWB. The results provide evidence in explaining how increased internet use time is associated with a greater level of PIU, which relates to lower self-esteem, correlating with lower SWB in adolescents. This study can provide reference to mental health organizations and educational agencies to design appropriate SWB promotion programs for the junior high school population in terms of epidemic prevention.

Receiving feedback after posting status updates on social networking sites predicts lower loneliness: A mediated moderation model

People are increasingly relying on social networking sites (SNSs) to satisfy their needs for relatedness. However, the psychological benefits of receiving others' feedback on SNSs remain relatively understudied. To fill this research gap, the present research examined whether and how others' feedback to one's status updates on WeChat Moments (i.e. the most popular SNS in China) affects loneliness. A correlational study (N = 261) and an experimental study (N = 412) conducted among Chinese university students indicated that receiving more (vs. less) feedback in the forms of "likes" and "comments" predicted lower loneliness, and this effect was explained by a higher sense of social connectedness. However, receiving feedback only elicited higher social connectedness and thus lower loneliness among participants with high public self-consciousness, but this effect was not significant among those with low public self-consciousness. These findings extend the research on SNS use and loneliness by providing new insights into the underlying psychological mechanisms and have important practical implications for SNS developers and users in terms of how to design and use SNSs to better satisfy different users' psychological needs.

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.

COVID-19-Related Self-Stigma, Post-Traumatic Stress Disorder, Insomnia, and Smartphone Addiction Among Frontline Government Workers with COVID-19 Pandemic Control Duties

Purpose

The duties related to COVID-19 control and prevention may have caused psychological stress for the individuals in charge (eg, frontline government workers) and have reportedly led to mental health issues, such as insomnia and post-traumatic stress disorder (PTSD). However, the prevalence of these COVID-19-related disorders and their associated factors remain unclear. Therefore, the purpose of the present study was to investigate the prevalence rates of insomnia, PTSD, COVID-19-related self-stigma, and smartphone addiction, along with the identification of risk factors and protective factors for Taiwan frontline government workers with COVID-19 pandemic control duties.

Methods

The survey was carried out with 151 participants between September and October 2021. All participants completed the Fear of COVID-19 Scale (assessing fear of COVID-19), Self-Stigma Scale (assessing self-stigma during the COVID-19 pandemic), Smartphone Application-Based Addiction Scale (assessing the risk of smartphone addiction), Insomnia Severity Index (assessing insomnia), Impacts of Event Scale-6 (assessing PTSD), and a self-designed set of questions assessing trait resilience.

Results

The results showed that the prevalence rate was 31.1% for insomnia and 33.8% for PTSD. Furthermore, service duration (adjusted odds ratio [AOR] = 0.93; 95% confidence interval [CI] = 0.86, 0.999) and trait resilience (AOR = 0.19; 95% CI = 0.08, 0.46) were protective factors and fear of COVID-19 (AOR = 1.91; 95% CI = 1.02, 3.57) was a risk factor for insomnia. Fear of COVID-19 (AOR = 2.63; 95% CI = 1.35, 5.14), self-stigma (AOR = 3.62; 95% CI = 1.19, 11.02), and smartphone addiction (AOR = 1.09, 95% CI = 1.001, 1.19) were risk factors, and trait resilience was a protective factor (AOR = 0.58; 95% CI = 0.29, 1.17) for PTSD.

Conclusion

The findings demonstrated a high prevalence of insomnia and PTSD. Risk-reducing strategies and protective factor promotion strategies are recommended to help reduce the symptoms of insomnia and PTSD among Taiwan frontline government workers.

Relationship between internet use intensity and quality of life in chronic patients during the COVID-19 pandemic: The role of physical exercise and health insurance

The internet use intensity of human has increased substantially during the COVID-19 Pandemic, and it is severely impacting the well-being of chronic patients. This study aimed to explore the underlying mechanism of the relationship between internet use intensity and quality of life in chronic patients, based on the cross-sectional data from China Family Panel Studies (CFPS) during the COVID-19 Pandemic in 2020. The results showed that the internet use intensity had significant positive association with quality of life among chronic patients, and such association has been found in both urban and rural samples. Among the relationship of internet use intensity and quality of life in chronic patients, the mediating effect of physical exercise reached 10.25%. Furthermore, health insurance positively moderated this relationship. There are new insights for policy recommendations and clinical guidance on the role of physical activity and health insurance aimed at improving chronic patients' quality of life. Meanwhile, in both rural and urban governance, public health agencies should promote the "Internet + Healthcare" program to improve health insurance and physical activity literacy, thus providing a higher level of quality of life for patients with chronic diseases during the COVID-19 Pandemic.

Is Problematic Internet and Smartphone Use Related to Poorer Quality of Life? A Systematic Review of Available Evidence and Assessment Strategies

Purpose of Review

Previous studies have explored the links between problematic Internet use (PIU) or problematic smartphone use (PSU) and quality of life (QOL). In this systematic review, we (i) describe the instruments used to assess QOL or health-related quality of life (HRQOL) in these studies, (ii) critically examine the content validity of the instruments used, and (iii) examine the relationships between PIU, PSU, QOL, and HRQOL.

Recent Findings

We identified 17 PIU and 11 PSU studies in a systematic search. Evidence suggests that PIU and PSU negatively correlate with either QOL or HQOL and most of their domains (especially mental and physical health). Multiple instruments were used to assess QOL or HRQOL in these studies. Our analysis showed an important heterogeneity in the domains covered by these instruments.

Summary

Because of the widespread prevalence of PIU and PSU, which tend to be linked with lower QOL or HRQOL, in particular poor mental and physical health, a more systematic public health campaign is required to target the healthy use of these communication devices. Prevention programs should also target vulnerable individuals, focusing on the most affected domains of QOL and HRQOL (i.e., physical and psychological health). Among the existing instruments, the World Health Organization Quality of Life for adults and the Pediatric Quality of Life Inventory for adolescents (aged 13–18 years) proved to be the most relevant, although new measurement instruments are needed to target domains that are specifically relevant in the context of PIU and PSU (e.g., physical and psychological health domains such as sleep, loneliness, and quality of familial relations).

Comparative Study on Nutrition and Lifestyle of Information Technology Workers from Romania before and during COVID-19 Pandemic

The study aimed to evaluate lifestyle factors among Information Technology (IT) workers from Romania before and during the pandemic. We used an online applied questionnaire, filled in by 1638 respondents, that assessed nutrition status-Body Mass Index (BMI), weight and diet change, physical activity, alcohol consumption, number of hours working in front of the computer, stress, and sleep. Multivariate logistic regression was used to establish the lifestyle factors that lead to weight gain. Although the level of physical activity (PA) was low before the pandemic, the results of our study showed a further decrease in physical activity. In total, 61.1% of men and 71.1% of women performed PA for less than 30 min per day. Weight gain was reported in 50.5% of men and 45.3% of women (mean weight gain was 5.11 ± 3.52 kg) as a result of increased screen time (with a mean of 3.52 ± 4.29 for females and 3.05 ± 2.09 for males, p > 0.05 h per day) and the reported changes in diet. Despite the popularity of home-cooked foods, the intake of vegetables and fruit remained low. The quality of sleep was poor for 55.7% of the respondents. Public health and corporation policies are required to encourage a healthy lifestyle and avoid chronic diseases.

Internet Use and Quality of Life: The Multiple Mediating Effects of Risk Perception and Internet Addiction

The impact of internet use on quality of life (QoL) has become an increasing focus of academic research. This paper aims to explore the internal influencing mechanisms of internet use (i.e., leisure-oriented internet use (LIU); work-oriented internet use (WIU)) on QoL, with a focus on the multiple mediating effects of risk perception and internet addiction. We constructed a theoretical framework from a psychological perspective and tested the hypotheses using hierarchical regression analysis with a sample of 1535 participants. The results showed that: (1) LIU had a positive effect on QoL, while WIU did not have a significant impact on QoL; (2) both risk perception and internet addiction had a negative influence on QoL; (3) risk perception positively impacted internet addiction; (4) risk perception and internet addiction had multiple mediating effects on the relationship between internet use and QoL.

Piloting Smartphone Digital Phenotyping to Understand Problematic Internet Use in an Adolescent and Young Adult Sample

Problematic Internet use (PIU) preferentially affects youth development, particularly youth with psychiatric conditions. Studies attempting to understand PIU and its impact on adolescent mental health have been limited by cross-sectional design and self-report data. Even with a small sample size, digital phenotyping (DP) methodology can address these limitations through repeated sampling and collection of survey and sensor data through personal smartphones. This study pilots a 6-week DP protocol in 28 youth in mental health treatment in order to assess relationships between PIU, mood symptoms, and daily behaviors like smartphone engagement and daily travel in this high-risk population. Our results found shared associations between depression and PIU, where symptom severity of both worsened in the setting of decreased smartphone engagement. These clinically relevant findings indicate that, rather than uniformly worsening mental health, increased digital engagement may actually provide short-term relief from negative affect in youth with psychiatric comorbidities.

Effect of the COVID-19 outbreak and lockdown on mental health among post-secondary students in the Grand Est region of France: results of the PIMS-CoV19 study

BACKGROUND

The COVID-19 epidemic has sent students around the world in to lockdown. This study sought to assess the prevalence of impaired self-perceived mental health and identify associated factors among French post-secondary students during the lockdown.

METHODS

A cross-sectional study was conducted among French students living in the Grand Est area in France from May 7 to 17, 2020 during the first lockdown. An online survey was used to collect sociodemographic data, learning and teaching conditions, living conditions, and exposure to COVID-19, and self-perceived mental health was assessed with mental composite score (MCS) of the SF-12.

RESULTS

Overall, 4018 were analyzed. Most participants were female (70.7%), and the mean age was 21.7 years (SD 4.0). The mean MCS score was 44.5 (SD 17.3). Impaired mental health, defined by a MCS < 1st Quartile, was mainly associated with female sex; decreased time for learning; not having access to the outside with a garden, a terrace or a balcony; difficulties with the living situation and having someone in the home affected by the SARS-COV2 requiring hospitalization or not.

CONCLUSIONS

This study showed that living conditions during lockdown had a clear impact on the mental health of French post-secondary students. There is a need to improve prevention and to access distance education as well as an urgent need for measures to develop healthy coping strategies for students. This is significant challenge and will assist in moderating the risk for the development of further distress and mental health concerns.

Internet Addiction Effect on Quality of Life: A Systematic Review and Meta-Analysis

PURPOSE

Due to the use of different methodologies, tools, and measurements, the positive or negative impact of Internet use on human life quality is accompanied by a series of ambiguities and uncertainties. Therefore, in this study, a systematic review and meta-analysis are conducted regarding the effect of Internet addiction on the quality of life.

METHODS

A systematic search of resources was conducted to investigate the effect of Internet addiction on the quality of life. The databases of PubMed, Cochrane Library, Scopus, Web of Science, Embase, and Science Direct were searched from January 1980 to July 2020. The articles were screened by two researchers in multiple levels in terms of the title, abstract, and full-text; then, final studies that met the inclusion criteria were retrieved and included in the study.

RESULTS

After searching the previously mentioned international databases, 3863 papers were found, 18 of which we included in the final analysis. Surveys indicated that people who had a high Internet addiction received lower scores of quality of life than those who were normal Internet users (OR = 2.45, 95% CI; 2.31-2.61, p < 0.001; I 2 = 85.23%, p < 0.001). Furthermore, There was a negative significant relationship between Internet addiction and quality of life in the psychological (OR = 0.56, 95% CI: 0.32-0.99, p=0.04, I 2 = 97.47%, p < 0.001), physical (OR = 0.58, 95% CI: 0.39-0.86, p=0.007, I 2 = 95.29%, p=0.001), and overall quality of life score (OR = 0.39, 95% CI: 0.27-0.55, p < 0.001, I 2 = 0.0%, p=0.746).

CONCLUSION

These findings illustrate that Internet addiction should be regarded as a major health concern and incorporated into health education and intervention initiatives.

The Influence of Socio-Demographic Factors on the Forms of Leisure for the Students at the Faculty of Physical Education and Sports

The study investigates the influences of gender, area of origin and age stage variables and also of the interaction between them, on the free time behavior of the students at the Faculty of Physical Education and Sports from Galati. The questionnaire applied in the academic year 2019–2020 had 85 items and was structured on 4 factors: leisure budget, leisure limiting factors, preferred leisure activities, and leisure sports activities. The multivariate/MANOVA analysis showed statistically significant data for some of the analyzed items, with values of F associated with thresholds p < 0.05. The results support longer screen time for urban areas and for those <25 years and time limitation for the favorite activities of students >25 years, while reading had higher stress scores for men and students <25 years. Men tended to limit their free time working overtime and women limited their free time due to housework. Students from rural areas and men >25 years were more stressed by socializing on the internet and shopping. Financial limitations for preferred activities were higher for women and students <25 years—women read more and visited their friends more often while men had higher scores in relation to involvement in physical activities throughout the week, an aspect also reported for those <25 years. Students >25 years spent more time with their family, while those <25 years socialized more on the internet and had better scores when going out with friends. Those in urban areas did more jogging, men had better scores in relation to playing sports games, higher indicators for the satisfaction generated by sports activity, and women preferred jogging and cycling/rollerblading. Sports games and different types of fitness were the most common variants practiced at the level of the studied group. Conclusion: There was no dominant orientation of the investigated group towards forms of passive leisure and there were no cases of sedentariness, even if the use of technologies (video games, socializing on the Internet and TV) were forms of leisure often used by students.

[Which Digital Services do Psychosomatic Rehabilitation Patients Use During the Corona Pandemic and do Interrelations with Anxiety and Depressive Symptoms Exist?]

OBJECTIVE

The COVID-19 pandemic requires numerous measures to protect against infection, such as contact reduction and adherence to hygiene and social distancing rules. The former leads to mental disorders (possibly requiring treatment) due to social isolation, the latter require adaptation in the implementation of medical therapies. With overall limited therapy capacities, the use of digital (health) applications can be of particular importance in the therapy of chronic and psychological diseases in particular. The present study investigates which health apps are being used by people with mental health problems.

METHODS

1,060 insured persons in preparation for psychosomatic rehabilitation measures were surveyed by means of an online questionnaire. Descriptive analyses, frequency analyses, and analyses of variance with post-hoc tests and correlation analyses were used for evaluation.

RESULTS

Participants used on average three apps; the most common topics were "nutrition" (n=313), "self-diagnosis" (n=244) and "relaxation" (n=234). Female participants were more likely to use apps than male participants, and younger participants were more likely to use apps than older participants. Symptoms of anxiety were correlated to the use of digital applications, especially concerning heart rate and blood pressure monitoring, while depressive symptoms were not associated with a more frequent use of apps.

DISCUSSION

Digital apps are being frequently used by people with mental health problems. Increasing acceptance of digital (health) apps has significant potential in the treatment of chronic mental illness in particular. The focus should be on individual applications with integration into the regular care process.

CONCLUSION

Increasing digitalization, also in the healthcare sector, can be used to ensure care, especially in times of contact restrictions and limited human resources.

Association of Symptoms of Attention Deficit and Hyperactivity with Problematic Internet Use among University Students in Wuhan, China During the COVID-19 Pandemic

BACKGROUND

COVID-19 is still spreading worldwide and posing a threat to individuals' physical and mental health including problematic internet use (PIU). A potentially high-risk group for PIU are those with symptoms of attention deficit and hyperactivity (ADHD symptoms), because of restrictions in their physical activity levels and engagement in computer diversions requiring only short attention spans.

METHODS

We used convenience sampling in a cross-sectional survey of university students from 30 universities in Wuhan, Hubei Province, China. We assessed PIU using the Internet Addiction Test and ADHD symptoms using the WHO Adult ADHD Self-Report Screening Scale. Using logistic regression and linear regression analyses we adjusted for demographic, epidemic-related and psychological covariates in models of the association between ADHD symptoms and PIU.

RESULTS

Among 11,254 participants, we found a 28.4% (95% CI, 27.5%-29.2%) prevalence of PIU, relatively higher than before the pandemic. In our final logistic regression model, participants with ADHD symptoms had approximately two times the risk for PIU (OR: 2.31, 95% CI: 1.89-2.83). Similarly, individuals with depression, anxiety, insomnia, PTSD symptoms and feeling stress during the pandemic had a higher risk of PIU, while those exercising regularly during the pandemic had a lower risk.

LIMITATIONS

The cross-sectional design and reliance on internet based self-reports for ADHD symptoms and PIU assessments, without direct structured interviews for validation, are limitations.

CONCLUSIONS

The prevalence of PIU was high during COVID-19, and those people with ADHD symptoms and other mental illness symptoms appear to be at higher risk of PIU. Regular exercise may reduce that PIU risk and hence should be recommended during the COVID-19 pandemic.

Mental health and internet use by university students: coping strategies in the context of COVID-19

The aim of this study was to estimate the prevalence of Common Mental Disorders (CMD) among university students and analyze the relation between disorders and internet use and the use of coping strategies in the face of social isolation during the COVID-19 pandemic. We conducted a quantitative cross-sectional study using a non-probability sample of 275 students. Data was collected online using the Self-Reporting Questionnaire, Problematic Internet Use Scale and a coping strategies inventory. We conducted a descriptive and inferential analysis of the data and multiple linear regression was performed to determine the variables that best explained the variation in the problematic internet use. Prevalence of CMD was 58.5% and the presence of CMD was positively correlated with frequency of internet use and the use of avoidant coping strategies, based on confrontation, the search for social support and acceptance of responsibility (p<0.05). The presence of CMD and the use of confrontation coping strategies were the variables that best explained problematic internet use (R2=0.33%; p<0.00). High levels of digital socialization should be taken into account in mental health care actions aimed at university students in the context of COVID-19.

Impulsivity Mediates Associations Between Problematic Internet Use, Anxiety, and Depressive Symptoms in Students: A Cross-Sectional COVID-19 Study

Background: Problematic internet use (PIU) is a serious global mental health issue that especially manifested during the Coronavirus disease (COVID-19) pandemic. Engagement in PIU as an impulsive coping with mental distress may pose a long-lasting threat to develop anxiety and depressive disorders. The first aim of our study was to investigate the prevalence of PIU and mental distress symptoms during the COVID-19 pandemic among university students in Lithuania. The second aim was to test the hypothesis that PIU affects anxiety and depressive symptoms through the mediating role of impulsivity. Methods: The cross-sectional study was comprised of 619 university students (92.9% females and 7.1% males) with a mean age of 22 ± 3 years who participated in an online survey from May to November, 2020. Participants completed the following scales: the Problematic Internet Use Questionnaire-9, the Generalized Anxiety Disorder Questionnaire-7, the Patient Health Questionnaire-9, and the Barratt Impulsiveness Scale-11. K-means cluster analysis and one-way multivariate analysis of variance were used for group comparison in terms of internet use time and habit change during COVID-19 pandemic. Structural equation modeling was applied to examine the mediating effect of impulsivity in association between PIU and mental distress, while controlling for age. Results: In sum, 45.1% of the participants reported PIU and 38.1% had markedly expressed symptoms of anxiety while 43.6% of the students reported moderate to severe depressive symptoms. During the COVID-19 pandemic 76% of the students reported at least moderate increase in their internet use time. Anxiety and depressive symptoms were significantly higher in the group of frequent internet users. The results of the structural equational modeling analysis showed a statistically significant effect of PIU on subjective anxiety symptoms and the statistically significant effect of PIU on subjective depression symptoms, both mediated via impulsivity. Conclusions: During COVID-19 pandemic, PIU, anxiety and depression symptoms are highly prevalent among students. Findings also suggest that relationships between PIU, anxiety and depressive symptoms are mediated via impulsivity. These results underscore the importance of the inclusion of impulsivity factor in the studies analyzing longitudinal effects of PIU on mental distress during COVID-19 pandemic.

Relationship between Smoking, Physical Activity, Screen Time, and Quality of Life among Adolescents

Background: Quality of life (QOL) is a crucial part of evaluating health conditions IN adolescents. The purposes of this study were to (1) examine the relationship of QOL and smoking, physical activity (PA) and screen time (ST) among Chinese adolescents, (2) explore the relationship between PA-ST combination and QOL of adolescents, and (3) investigate the dose-response relationship between PA-ST and QOL. Methods: This study randomly selected 12,900 adolescents (11–18 years) from 13 administrative regions in Shandong Province, China. The data gathering tools for Smoking (tobacco), PA (PAQ-A) and ST (average daily time for ST) and QOL questionnaire (child and adolescent quality of life scale) were completed among all adolescents. Statistical analysis was performed by T test, chi-square test and multiple linear regression. Results: 12,641 adolescents (aged 12–18) completed the study. In multiple linear regression models, the result demonstrated that the adolescents from rural areas, with high ST, low PA, and smoking, with older age and low socioeconomic status, showed a lower QOL score. First-time smokers under 10 years revealed the lowest QOL, and PA > 30 min five days per week have the highest QOL. In addition, boys and girls with PA > 30 min three to four days per week in high ST group obtain the higher scores (boys β = 5.951, girls β = 3.699) than low PA-low ST groups. Conclusions: Adolescents from rural areas suffer from a relatively poorer QOL. More than 30 min of PA five or more days for boys and three or four days per week for girls could decrease negative effects of ST and improve QOL.