Reliability and validity of the Chinese version of the doomscrolling scale and the mediating role of doomscrolling in the bidirectional relationship between insomnia and depression.

BACKGROUND: Doomscrolling behavior is very common among college students. The purpose of this study was to evaluate the reliability and validity of the Chinese version of the Doomscrolling Scale, thus providing a scientific basis for its application among Chinese university students. METHODS: The Chinese version of Doomscrolling Scale was developed through translation and revision of the original scale, conducting item and factor analysis, and validating it with validation factor analysis. The psychometric properties of the Doomscrolling Scale were assessed in 2885 Chinese university students. RESULTS: The internal consistency coefficients, two-month test-retest reliability, and split-half reliability of the Chinese version of the Doomscrolling Scale (including the 15-item and the 4-item short version) were high, and the mono-factorial scales fitted well to the theoretical model. Scores on the Chinese version of the Doomscrolling Scale were significantly associated with depression, anxiety, and smartphone addiction. The structural equation model indicates that doomscrolling can mediate the bidirectional relationship between insomnia disorder and depression. CONCLUSIONS: The revised Chinese version of the Doomscrolling Scale is valid and reliable, which can facilitate research in this field. The association between doomscrolling and various mental disorders has been confirmed, and further research should be conducted to investigate its mechanisms of action.

The relationship between nighttime exercise and problematic smartphone use before sleep and associated health issues: a cross-sectional study.

OBJECTIVE: Physical exercise has the potential to mitigate addictive behaviors and relevant health issues. However, the nighttime exercise has not been studied regarding this research topic. This study aims to explore the association between nocturnal physical exercise and problematic smartphone use before sleep, as well as related health issues. METHODS: To explore the association between nighttime physical exercise and problematic smartphone use before sleep as well as related health issues, we conducted a cross-sectional survey among 1,334 college students. Their daily exercise behaviors (including timeframe, rationale, frequency, and duration), smartphone use before sleep, sleep quality, smartphone addiction, anxiety, and depression were measured by questionnaires. The associations were assessed using generalized linear models. RESULTS: Our findings indicate that nearly 70% of participants chose to perform exercise at nighttime. Among these individuals who exercised at nighttime, the frequency and duration of nighttime exercise were significantly associated with decreased probabilities of smartphone use before sleep. Additionally, the frequency and duration of nighttime exercise were associated with lower levels of smartphone addiction and anxiety disorders. CONCLUSION: Nighttime Exercise behaviors can effectively reduce sleep delays caused by problematic smartphone use before bedtime. These findings contribute to understanding the potential effects of nighttime exercise on problematic smartphone use and relevant health issues. Future research should employ more precise methodologies to examine these associations.

Associations between smartphone addiction, parenting styles, and mental well-being among adolescents aged 15-19 years in Gujarat, India.

BACKGROUND: The pervasive use of smartphones among adolescents has raised concerns about addiction and its impact on mental well-being. This study investigates the prevalence of smartphone addiction and its associations with socio-demographic factors, parenting styles, and mental health among Indian adolescents. METHODS: A cross-sectional study was conducted among 560 school-going adolescents (aged 15-19) in Gujarat, India, from January to October 2023. Data was collected using validated scales: the Smartphone Addiction Scale-Short Version (SAS-SV), the Parenting Styles and Dimensions Questionnaire (PSDQ), and the Depression Anxiety Stress Scale-21 (DASS-21). Bivariate and multivariate logistic regression analyses were performed to identify factors associated with smartphone addiction. RESULTS: The prevalence of smartphone addiction was 64.6%. Urban residence (AOR: 2.4, 95% CI: 1.8-3.3), higher parental education (AOR: 3.3, 95% CI: 1.7-4.3 for graduate fathers), longer smartphone use (AOR: 2.08, 95% CI: 1.7-3.6 for > 3 years), and higher socioeconomic status (AOR: 1.9, 95% CI: 1.5-3.51) were associated with increased odds of addiction. Authoritarian and permissive parenting styles in both parents were positively associated with smartphone addiction, while authoritative parenting was negatively associated. Smartphone addiction was strongly associated with mental health issues, particularly with severe stress (AOR: 10.82, 95% CI: 5.11-22.88, p < 0.001). CONCLUSION: Smartphone addiction is highly prevalent among Indian adolescents and is significantly associated with urban living, higher socioeconomic status, non-authoritative parenting styles, and poor mental health. These findings underscore the need for digital literacy programs, parenting interventions promoting authoritative styles, and mental health support to foster healthy smartphone use among adolescents.

The effects of smartphone addiction on the body in young adults in Turkey.

OBJECTIVES: The frequency of smartphone usage is increasing day by day in Turkey. This study was planned to reveal the level of smartphone addiction and the factors affecting smartphone addiction in young adults in Turkey. DESIGN: In the study, how long the young people had been using the smartphone and their daily usage times were recorded. The Smartphone Addiction Scale (SAS), Neck Disability Index (NDI), Body Awareness Scale (BAS), and Sedentary Behavior Questionnaire (SBQ) scales were employed as data collection tools. RESULTS: The study was conducted with 1000 participants aged 18-45, and 807 were female. 85.6% of the participants have been using smartphones for at least 3 years and 77.3% of all participants use smartphones for more than 4 hours a day. According to the SAS scale, 34.8% of the participants had smartphone addiction. Smartphone addiction is higher especially in those who have a sedentary life or individuals with neck disabilities (p = 0.005; p < 0.001 respectively). No significant difference was found between body awareness and smartphone addiction (p = 0.380). However, body awareness scores were higher in the group without smartphone addiction. There was a significant difference between the groups in terms of the SAS, BAS, NDI, and SBQ scores in the participants classified by smartphone usage time. CONCLUSION: Female gender, daily usage of a smartphone for more than 4 hours a day, having a smartphone for at least 3 years, presence of sedentary behavior, and neck disability were the factors affecting smartphone addiction in young people. No relationship was found between body awareness and smartphone addiction. Further studies on the awareness of the effects of intensive smartphone usage on the body should be conducted among young people in Turkey.

Lack of Parental Control Is Longitudinally Associated With Higher Smartphone Addiction Tendency in Young Children: A Population-Based Cohort Study.

The purpose of the current study was to examine the risk factors of young children's smartphone addiction in a longitudinal study design. Data collected from 313 participants (mean age, 4.5 ± 0.82 years; male, 49.8%) over 4 years for Kids Cohort for Understanding of Internet Addiction Risk Factors in Early Childhood were analyzed in this study. Mixed effect models were used to evaluate the influence of various variables on the repeated measures of smartphone addiction tendency in young children over time. The multi-level analysis showed that parents' lack of control over children's smartphone use (t = -4.523; 95% confidence interval [CI], -7.32, -1.72), and parents' higher smartphone addiction proneness (t = 6.340; 95% CI, 0.23, 0.440) predicted higher smartphone addiction tendency in young children. The responsibility of the parents to prevent their children from becoming addicted to smartphones should start in a very early age when they start using the smartphones.

Smartphone and social network addiction in early adolescents: The role of self-regulatory self-efficacy in a pilot school-based intervention.

BACKGROUND: Youths' online problematic behaviors, such as smartphone or social network sites (SNS) addiction, gained increasing attention nowadays, due to their impact on concurrent and later adjustment, such as emotional and/or behavioral problems, academic impairments, or relational issues. AIMS: This study aims to evaluate the effectiveness of a pilot school-based intervention to contrast online addictive behaviors while fostering adolescents' self-regulative abilities. MATERIALS & METHODS: The intervention started in January 2022 in an Italian junior high school located in Rome, and consisted of four meetings with students. A total sample of 462 15-year-old adolescents (Mage = 15.2; SD = 0.50; 41% females; Ncontrol = 214; Nintervention = 248) was considered. Within the latent difference score framework, we examined short-term changes from the pre-to-the-postintervention levels of SNS and smartphone addiction, and self-regulatory self-efficacy (SRSE) beliefs as a possible booster of the intervention's effectiveness. RESULTS: Results showed a significant decrease in both online addictions (SNS and smartphone addiction), controlling for age, gender, sexual orientation, and socioeconomic status, because of the short-term efficacy of the project. The buffering effect of SRSE beliefs was further supported. CONCLUSION: These findings emphasized the usefulness of promoting youths' self-regulative beliefs to contrast problematic tendencies, according to a Positive Youth Development perspective which focused on resources rather than only on the prevention of negative outcomes for youths' adjustment.

The effect of smartphone addiction on vessel wall thickness, which is a predictor of atherosclerosis.

AIM: The increasing global popularity of smartphone usage has increased concerns about the negative effects of smartphone addiction, such as lack of sleep, sedentary life, bad eating habits, anxiety, stress, and depression, especially among the young population. These problems caused by smartphone addiction are also well-known risk factors for atherosclerosis. However, according to our observation, there is no research in the literature that directly shows the relationship between smartphone addiction and subclinical atherosclerosis. In this study, carotid intima-media thickness, an important surrogate marker in demonstrating subclinical atherosclerosis, was used to examine the relationship between smartphone addiction and subclinical atherosclerosis. MATERIALS AND METHOD: This cross-sectional study was conducted on 96 high school students aged between 13 and 22 years. A smartphone addiction questionnaire consisting of 33 questions was applied to measure smartphone addiction. Along with the socio-demographic characteristics of the patients, factors such as eating habits, sleep patterns, and activity levels were also questioned. The mean carotid intima-media thickness was measured by an experienced sonographer according to the published and accepted methods. RESULTS: When we set the threshold for smartphone addiction at over 66 points, we discovered that the group with smartphone addiction had considerably thicker carotid intima-media (0.68 ± 0.2 versus 0.45 ± 0.1; p < 0.001). In addition, logistics regression analysis had shown that smartphone addiction level independently affects the carotid intima-media thickness (odds ratio:1.111; %95 GA:1.057-1.168, p < 0.001). CONCLUSION: Smartphone addiction may help prediction of subclinical atherosclerosis via carotid intima-media thickness among teenagers.

Relationship between smartphone addiction, loneliness, and depression in adolescents: A correlational structural equation modeling study.

PURPOSE: This study was aimed to investigate the relationship between smartphone addiction, loneliness, and depression in adolescents. DESIGN AND METHODS: This study was designed in a correlational-cross-sectional-descriptive model and was conducted with 1041 adolescents attending high schools in a provincial center in Eastern Turkey. The data were collected through face-to-face interviews using a personal information form, Smartphone Addiction Scale-Short Version for Adolescents, UCLA Loneliness Scale, and Kutcher Adolescent Depression Scale. RESULTS: The average scores for smartphone addiction were found to be higher among females, individuals with low academic success, and those with a high-income level. Similarly, the average scores for loneliness were higher among individuals residing in broken families and those with parents who have limited literacy. Additionally, the mean scores for depression were higher among individuals with low academic success and those with a high-income level. Furthermore, a significant positive correlation was observed between the duration of smartphone use and levels of smartphone addiction, loneliness, and depression. CONCLUSION: Smartphone addiction, loneliness, and depression were found to be prevalent above the moderate level in adolescents. Additionally, a significant positive correlation was observed between the depression and loneliness scores of adolescents. PRACTICE IMPLICATIONS: Pediatric and school nurses should assess children's phone use. Nurses are well-positioned to establish a follow-up program aimed at monitoring adolescents' efforts in managing smartphone use, offering continuous support, and providing guidance when necessary. The implementation of such programs enables prompt intervention in addressing any arising issues.

Effects of socio-demographical characteristics of high school students on smartphone addiction and depression.

This study was conducted to determine the smartphone addiction and severity of depressive symptoms of high school students. In this descriptive cross-sectional and correlational study, the sample consisted of 1744 high school students. In the study, data were collected using a Descriptive Questionnaire, the Smartphone Addiction Scale-Short Form, and the Depression Scale for Children. Data were analyzed in independent groups Student's t test, One-way ANOVA, Pearson correlation analysis, and a multiple regression model. It was determined that the students' mean smartphone addiction score was affected by gender, grade level, school success, having problems with the family, relationship with family, relationship with friends, and social self-evaluation. The mean depression score was affected by family type, economic status, social self-evaluation. According to the multiple regression analysis, effects of socio-demographic variables on smartphone addiction were 25%. It was concluded that the socio-demographic characteristics of high school students have an effect on smartphone addiction and depression.

Prevalence and Associated Factors of Nomophobia Amongst the General Population in Makkah Province and Al-Madinah Province, Saudi Arabia: An Analytical Cross-Sectional Study.

Background: Nomophobia is a public health issue that involves the fear of being without a mobile phone. The study aimed to estimate the prevalence of nomophobia and its relation to psychological factors, including depression and insomnia, among the general population in Makkah Province and Al-Madinah Province, Saudi Arabia. Methods: This analytical cross-sectional study was conducted and data were obtained through a self-administered online questionnaire using the Patient Health Questionnaire-2 (PHQ-2) for depression, the Nomophobia Questionnaire (NMP-Q), and Insomnia Severity Index (ISI). Results: A total of 1022 participants completed the questionnaire. The prevalence of nomophobia was 96.7%. Moderate nomophobia was prevalent (47.8%). Based on the PHQ-2, possible depression was identified in 47.3% of the respondents. 37.1% had sub-threshold insomnia. In terms of personal psychiatric history, the most common mental disorders in the participants included generalized anxiety disorder (9.9%) and major depressive disorder (9.7%). 61.6% of them used mobile devices for more than four hours per day. Conclusion: Nomophobia is prevalent in the Makkah and Al-Madinah provinces in Saudi Arabia. The risk of nomophobia was significantly higher for participants who spent more hours using mobile devices, those with possible depression, and those having irritable bowel syndrome.

Clinical Manifestations' Spectrum of Smartphone Addiction: Moving from an Addiction toward a Clinical Syndrome.

Background: Smartphone addiction is an emerging type of addiction in the digital era, characterized by smartphone dependence that negatively affects human health with a wide range of psychological and physical manifestations. Objective: This study aimed to evaluate the detailed clinical manifestations of smartphone addiction as a delineated clinical syndrome. Methods: A cross-sectional study design was employed to assess smartphone addiction prevalence and its health impacts among Syrian undergraduates using the Smartphone Addiction Scale-Short Version (SAS-SV 2013), the Kessler psychological distress scale (K-6), and a comprehensive assessment of the clinical manifestations frequently linked to smartphone addiction in the literature. Different statistical modeling techniques were applied; a P value of < .05 was considered statistically significant. Results: Of 1532 invited undergraduates, 1401 (91.45%) completed the assessment adequately. Most participants were females (59.7%) and below 23 years of age (73.2%). The prevalence of smartphone addiction was 67.80%; statistically significant smartphone addiction associations were revealed with psychological distress (P < .0001) with odds ratios of 3.308. Most screened physical manifestations also showed a significant association with smartphone addiction. Conclusion: A high prevalence of smartphone addiction was observed with a broad spectrum of associated mental and physical manifestations. As smart device addiction becomes a global health concern, combining the clinical findings reported in the related literature into one clinical identity is necessary to develop a holistic management approach for the delineated clinical syndrome.

The Association Between Proneness to Smartphone Addiction and Social Anxiety Among School Students and the Mediating Role of Social Support: A Call to Advance Jordanian Adolescents' Mental Health.

BACKGROUND: Social anxiety is an emerging public health issue associated with significant impairment of social functioning during adolescence. Among many determinants of social anxiety, proneness to smartphone addiction may significantly contribute to the development of social anxiety. To cope with the consequential development of social anxiety, adolescent school students may rely on various forms of social support. Particularly in the Middle East, including Jordan, the relationship between proneness to smartphone addiction and adolescent social anxiety is understudied. AIM: To examine the mediating role of social support in the relationship between proneness to smartphone addiction and social anxiety in a sample of adolescent school students. METHODS: In this cross-sectional study, 432 adolescents were recruited via a random cluster sample from public schools across three provinces in Jordan. The data were collected face-to-face using the Social Anxiety Scale for Adolescents, the Smartphone Addiction Proneness Scale, and the Multidimensional Scale of Perceived Social Support. RESULTS: Significantly higher levels of social anxiety were associated with females of lower economic status who reported more gaming hours and higher levels of proneness to smartphone addiction. Familial social support significantly mediated the relationship between proneness to smartphone addiction and social anxiety, controlling for the other covariates in the social anxiety model. CONCLUSIONS: Familial social support reduced the impact of proneness to smartphone addiction on social anxiety. Nurses may supplement treatment for reducing social anxiety in adolescents suffering from proneness to smartphone addiction by fostering sources of familial social support.

Development and validation of the while-in-bed-smartphone-use-induced sleep procrastination scale (WSPS) in Chinese undergraduates with/without problematic smartphone use.

PURPOSE: Problematic smartphone use (PSU) has become a global public health problem. Excessive while-in-bed smartphone use may result in sleep procrastination and other negative outcomes. The present study aimed to develop and validate a new scale called WSPS to assess while-in-bed-smartphone-use-induced sleep procrastination among undergraduates. METHODS: In total, 910 Chinese undergraduates completed the collection of WSPS, smartphone addiction scale-short version (SAS-SV), bedtime procrastination scale, Pittsburgh sleep quality index, and Zung self-rating depression scale. The whole sample were randomly splited in the exploratory factor analysis (EFA) sample (n = 455) and confirmatory factor analysis (CFA) sample (n = 455). 40 undergraduates with PSU (SAS-SV > 31) and 40 without PSU were asked to keep sleep diary for 2 weeks and complete the WSPS again. RESULTS: EFA and CFA supported a six-item unidimensional structure of the WSPS. The WSPS demonstrated acceptable internal consistency among undergraduates. The WSPS showed good concurrent validity with other relevant variables including PSU, BP, sleep quality, and depression. Scalar invariance of the WSPS between undergraduates with/without PSU was supported, as well as scalar invariance across gender. The WSPS showed good convergent validity with self-report everyday while-in-bed smartphone use duration and good discriminant validity with sleep duration and sleep onset latency recorded by sleep diary. The WSPS also presented good test-retest reliability among undergraduates with/without PSU. CONCLUSION: The WSPS is a reliable and valid measure of while-in-bed-smartphone-use-induced sleep procrastination in undergraduates with/without PSU.

Effect of online game policy on smartphone game play time, addiction, and emotion in rural adolescents of China.

BACKGROUND: Smartphone game addiction has emerged as a major public health problem in China and worldwide. In November 2019 and August 2021, the National Press and Publication Administration of China implemented two increasingly strict policies, as a means of preventing smartphone game addiction in adolescents aged 18 or below. This study aimed to analyze the effect of the policies on smartphone game play time, addiction, and emotion among rural adolescents in China. METHODS: We sent the questionnaire to rural adolescents through the online survey tool Questionnaire Star, a professional online survey evaluation platform. The questionnaire included demographic data, smartphone use survey, smartphone game addiction and emotion evaluation scales. The Smartphone Addiction Scale-Short Version (SAS-SV) measured adolescents' smartphone game addiction. The Short Version of UPPS-P Impulsive Behavior Scale (SUPPS-P) and Social Anxiety Scale for Children (SASC) measured emotion. According to SAS-SV score, the enrolled rural adolescents were divided into addiction group and non-addiction group. The t-test, Chi-square test, and repeated measure ANOVA assessed the effect of the policies on adolescents' smartphone game addiction and emotion. RESULTS: Among enrolled 459 rural adolescents with a mean age of 14.36 ± 1.37years, 151 (32.90%) were in the addiction group and 308 (67.10%) were in the non-addiction group. Adolescents in the addiction group were older, more male, and higher grade. There were time and group effects between the two groups in playtime. After a year of policies implementation, the weekly game time dropped from 3.52 ± 1.89 h to 2.63 ± 1.93 h in the addiction group and from 2.71 ± 1.75 h to 2.36 ± 1.73 h in the non-addiction group. There were also time and group effects in SAS-SV and SASC scores, but not for SUPPS-P score. In the addiction group, the SAS-SV score dropped from 41.44 ± 7.45 to 29.58 ± 12.43, which was below the cut-off value for addiction, and the level of social anxiety was consistently higher than non-addiction group. CONCLUSIONS: The playtime of rural adolescents spent on smartphone games has decreased significantly due to the restriction of the policies rather than the lack of addiction or social anxiety. The policies had practically significant effects in reducing smartphone game play time for rural adolescents in China.

The effect of smartphone addiction on the relationship between psychological stress reaction and bedtime procrastination in young adults during the COVID-19 pandemic.

BACKGROUND: Previous studies on bedtime procrastination mainly focused on the influencing factors of stress and draw less attention on the role of family environment. AIM: This study aimed to explore the effect of psychological stress reaction on bedtime procrastination in young adults, with considering the mediating effect of smartphone addiction, and the moderating effect of family cohesion during the COVID-19 pandemic. METHODS: A sample of 1217 young adults completed psychological stress reaction scale, Smartphone addiction tendency scale for young adults, bedtime procrastination scale and family cohesion scale. A moderated mediation model was conducted to clarify the effect of psychological stress reaction on bad bedtime procrastination in young adults. RESULTS: The findings showed that: (1) The individual level of psychological stress reaction was positively associated with bedtime procrastination; (2) Smartphone addiction mediated the effect of psychological stress reaction on bedtime procrastination; (3) Family cohesion moderated the relationship among psychological stress reaction, smartphone addiction and bedtime procrastination. CONCLUSIONS: This study revealed the effect of smartphone addiction on the relationship between psychological stress reaction and bedtime procrastination during the COVID-19 pandemic, and these findings could provide novel evidence that family cohesion may serve as a protective factor against the negative consequences of smartphone addiction on bad bedtime procrastination.

The relationship between technology addictions and schizotypal traits: mediating roles of depression, anxiety, and stress.

BACKGROUND: The way how technology addiction relates to psychosis remains inconclusive and uncertain. The present study aimed to test the hypothesis of a mediating role of depression, anxiety and stress in the association between three technology (behavioral) addictions (i.e., Addiction to the Internet, smartphones and Facebook) and psychosis proneness as estimated through schizotypal traits in emerging adults. METHODS: A cross-sectional study was performed among non-clinical Tunisian university students (67.6% females, mean age of 21.5 ± 2.5 years) using a paper-and-pencil self-administered questionnaire. RESULTS: Results for the Pearson correlation revealed that higher smartphone, Internet, and Facebook addictions' scores were significantly and positively correlated with each of the depression, anxiety and stress subscores; whereas depression (r = 0.474), anxiety (r = 0.499) and stress (r = 0.461) scores were positively correlated with higher schizotypal traits. The results of the mediation analysis found a significant mediating effect for depressive, anxiety and stress symptoms on the cross-sectional relationship between each facet of the TA and schizotypal traits. CONCLUSION: Our findings preliminarily suggest that an addictive use of smartphones, Internet and Facebook may act as a stressor that exacerbates psychosis proneness directly or indirectly through distress. Although future longitudinal research is needed to determine causality, we draw attention to the possibility that treating psychological distress may constitute an effective target of interventions to prevent psychosis in adolescents with technology addictions.

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.

Recreational screen media use among Danish children aged 6-11 years: influence of parental screen media habits and attitudes.

AIMS: Little is known about the influence of parents' screen media habits and attitudes towards screen media on children's screen use. We investigated associations of parental screen use, their smartphone addiction and screen media attitudes, with children's recreational screen use. METHODS: This study was based on a population-based cross-sectional survey sent between May 2019 and November 2020 to a random sample of 6820 Danish parent-child dyads who answered questions regarding their screen media habits. Children were 6-11 years of age and had to reside with the parent. Multivariable adjusted regression analyses were conducted (in October 2021) separately for screen media use on weekdays and weekend days. RESULTS: The analyses included 5437 parents (41.0 years, 67.6% girls) and 5437 children (8.9 years, 48.2% girls). The adjusted relative odds of excessive amounts of screen use of children (>3 hours/weekday and >4 hours/weekend day) was 5.8 (95% confidence interval (CI) 4.6; 7.3) on weekdays and 7.2 (95% CI 5.9; 8.8) on weekend days comparing the fourth and first quartile of parental screen use. Children of parents in the fourth quartile of parental screen use had 2.1 (95% CI 1.7; 2.5) and 2.5 (95% CI 2.2; 3.0) greater odds of screen use before bedtime on all week and weekend days, respectively. Children of parents who had a positive attitude towards their child's screen use or were at high risk of smartphone addiction had significantly higher screen use and more frequent problematic screen use. CONCLUSIONS: Parent's screen media habits and attitudes were strongly associated with their children's recreational screen use.

COVID-19 victimization experience and university students' smartphone addiction: the mediating role of emotional intelligence.

OBJECTIVES: During the post-COVID-19 era, everyone has the risk of contracting the virus and becoming the victims of COVID-19. Examining the relationship between the COVID-19 victimization experience and its effects is more urgent. The aim of present study is to propose a mediation model to investigate the association between COVID-19 victimization experience and smartphone addiction, and the mediating role of emotional intelligence. METHODS: A online questionnaire including the COVID-19 Victimization Experience Scale, the Smartphone Addiction Scale, and the Emotional Intelligence Scale among Chinese university students, were employed in this study. Finally, 1154 valid questionnaires were collected. The reliability and confirmatory factor analysis results showed that all three scales had good reliability and validity. RESULTS: Structural Equation Model (SEM) demonstrated that COVID-19 victimization experience significantly predicted smartphone addiction in university students, and emotional intelligence partially mediated the association between COVID-19 victimization experience and smartphone addiction. Bootstrap results furthermore tested the rigor of the mediating effect. CONCLUSION: COVID-19 victimization experience was a important variables in predicting university students's martphone addiction, and emotional intelligence was a protective factor in decreasing the negative effect of COVID-19 victimization experience on addictive behaviors. It is suggested that instructors should integrate emotional intelligence training programs into mental health courses so as to improve students' emotional intelligence ability.

Association between impulsivity and cognitive capacity decrease is mediated by smartphone addiction, academic procrastination, bedtime procrastination, sleep insufficiency and daytime fatigue among medical students: a path analysis.

BACKGROUND: Medical students are at high risk for sleep disturbance. One possible cause of their sleeping problem is impulsivity. We aim to investigate the possible mediators between medical students' impulsivity and sleep outcomes. Thus, we developed and investigated a model where the predictors were attentional, non-planning, and motor impulsivity subtraits. In the final model, subjective cognitive capacity decrease was the outcome variable. In light of previous findings, academic procrastination, smartphone addiction, and bedtime procrastination were considered important mediators as well as two variables of poor sleep, sleeping insufficiency, and daytime fatigue. METHODS: Medical students (N = 211; ageM = 22.15 years; ageSD = 3.47 years; 71.6% women) were recruited to complete an online survey comprised of demographics (age, gender), self-administered scales (Abbreviated Impulsiveness Scale, Bedtime Procrastination Scale, Abbreviated Impulsiveness Scale, Academic Procrastination Scale-Short Form) and questions on tiredness, daily fatigue and subjective cognitive capacity decrease. Correlation and path analyses were implemented to examine hypothesized relationships between the variables. RESULTS: Both attentional impulsivity (ß = 0.33, p < .001) and non-planning impulsivity (ß = -0.19, p < .01) had a direct relationship with cognitive capacity decrease. Attentional impulsivity was also associated with decreased cognitive capacity with a serial mediation effect via smartphone addiction, academic procrastination, bedtime procrastination, sleep insufficiency and fatigue (estimate = 0.017, p < .01). The indirect link between non-planning impulsivity and cognitive capacity decrease was mediated by academic procrastination, bedtime procrastination, sleep insufficiency and fatigue (estimate = 0.011, p < .01). CONCLUSIONS: Inability to stay focused and plan tasks effectively (directly and indirectly) predicts poor sleep outcomes. This relationship is mediated by excessive smartphone use, academic procrastination, and bedtime procrastination. Our findings are relevant in light of self-regulatory learning, which is crucial in medical education. This is a recursive cycle of planning, emotion regulation, proper strategy selection and self-monitoring. Future interventions addressing attentional and non-planning impulsivity, problematic smartphone use, academic procrastination, and in turn, bedtime procrastination might make this routine more effective. In the conclusion section, practical implications of the results are discussed.