Screen Use Time and Its Association With Mental Health Issues in Young Adults in India: Protocol for a Cross-Sectional Study.

BACKGROUND: Screen use time has increased in the past decade owing to the increased availability and accessibility of digital devices and the internet. Several studies have shown an association between increased screen use time and mental health issues such as anxiety and depression. However, studies in the young adult population-a demographic with high screen use-and in low- and middle-income country settings are limited. OBJECTIVE: This protocol describes a study that aims to measure self-reported screen use times and patterns in young adults (18-24 y) in India and assess if increased screen use time is associated with poorer mental well-being. METHODS: This protocol describes a cross-sectional study of a pan-India, web-based convenience sample of young adults (18-24 y) with access to digital devices with a screen and a minimum of secondary school education. Participants will be recruited through people in the professional networks of the investigators, which includes pediatricians. The survey will also be distributed via the social media pages of our organization (X [X Corp], Instagram [Meta], Facebook [Meta], etc). Sociodemographic details will be collected through a questionnaire designed by the authors; screen use time and patterns will be assessed using an adaptation of the Screen Time Questionnaire to include data on different apps and websites used on digital devices; and mental health parameters will be gauged using the Warwick-Edinburgh Mental Well-Being Scale, Generalized Anxiety Disorder Scale, Perceived Stress Scale, and Patient Health Questionnaire. For statistical analysis, we will consider the following variables: (1) the primary independent variable is screen use time; (2) other independent variables include age, gender, residence: rural or urban, educational qualifications, employment status, stress associated with familial financial status, average sleep time, number of people living in a house or rooms in that house, BMI, substance use, and past psychiatric history; and (3) dependent variables include mental well-being, depression, anxiety, and perceived stress. To quantify the association between screen use time and mental health, we will perform a Bayesian multivariate multiple regression analysis that models the possibility of multiple alternative hypotheses while accounting for relevant sociodemographic covariables. RESULTS: The survey instrument has been designed, and feedback has been obtained from the domain experts and members of our organization whose profile is similar to the potential study participants. The final data received after this study has been conducted will be analyzed and shared. As of January 2023, we have not yet initiated the data collection. CONCLUSIONS: Based on the findings of this study, we will be able to establish a correlation between device- and use-specific screen use time and various mental health parameters. This will provide a direction to develop screen use time and mental health guidelines among young adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39707.

[The use of gadgets in the student environment and their impact on the health of students].

In the information 21st century, almost everyone interacts with technical devices, including gadgets. A gadget is a small device designed to make life easier and better. Gadgets most often include smartphones, computers, tablets, headphones, smartphone speakers, smart watches and much more. In this article, we will focus on the most common gadgets - a smartphone and a computer, and also consider their effect on the student's body. The results of a social survey of students of the Admiral F. F. Ushakov State Maritime University on the indicator of smartphone screen time used and their well-being from this are presented. The authors show that the abuse of time spent in gadgets negatively affects the state of both physical and mental health of students. The article provides recommendations for a painless interaction.

Adverse Childhood Experiences and Excessive Recreational Screen Time Among Adolescents in the United Kingdom: A National Longitudinal Study.

PURPOSE: This study aimed to investigate the associations between adverse childhood experiences (ACEs) and excessive recreational screen time. METHODS: Using data from the UK Millennium Cohort Study, we examined the associations of prospectively collected individual ACEs, ACE scores, and poverty with excessive recreational screen time (>4 hours) across different media types. We ran further analyses to investigate sex differences in the associations of ACEs with excessive screen time. The robustness of these associations were tested by controlling for sociodemographic factors. RESULTS: Among the included 11,439 adolescents (49.9% boys), those who experienced three or more ACEs were more likely to partake in excessive screen time compared to those with no ACEs after adjusting for covariates. This included recreational internet time at age 14, television time at age 14, electronic game time at ages 14 and 17, and social networking time at ages 14 and 17. We found similar associations between individual ACEs and excessive screen time. For example, parental mental health problems were associated with excessive recreational internet time (odds ratio [OR]: 1.28; 95% confidence interval [CI]: 1.15, 1.42), excessive television time (OR: 1.14; 95% CI: 1.01, 1.28), and excessive electronic game time (OR: 1.34; 95% CI: 1.16, 1.56) at age 14. Boys showed stronger associations between certain ACEs and excessive screen time compared to girls. DISCUSSION: ACEs and poverty are associated with adolescents' later excessive recreational screen time, including excessive time spent on television watching, electronic games, and social networking.

Association of Screen Time Exposure With Autism Spectrum Disorder in Four to Six-Year-Old Children in Arar City, Saudi Arabia.

Background Autism spectrum disorder (ASD) is a psychopathologic disorder caused by several factors. The early signs include poor interaction and communication, delayed milestones, and repeated behavior patterns. This study aimed to assess the relationship between screen time and ASD severity and investigate the types of electronic devices associated with ASD in children aged four to six years in Arar City, Kingdom of Saudi Arabia (KSA). Methodology A cross-sectional study was conducted in primary healthcare centers (PHCs) in Arar City, KSA. The study enrolled all parents with children aged four to six years attending the PHCs in Arar City, KSA. Results The total sample size was 199 participants. Regarding the relationship between screen time exposure and ASD, there were variable screen time exposure durations, with 22.6% of children exposed for less than an hour, 30.7% for one to two hours, and 46.7% for more than two hours. Moreover, the type of electronic devices to which children were exposed varied, with smartphones being the most prevalent (68.3%). In terms of the age of children since exposure to electronic devices, the data indicated that 30.2% were exposed before the age of two, 35.2% between two and three years, and 34.7% after three years of age. Regarding the relationship with sociodemographic characteristics, there was a statistically significant relationship with the mother's age at birth (p = 0.050), mother's education level (p = 0.009), father's education level (p = 0.049), whether the child was suffering from any chronic or neurological disease (p = 0.008), age since the child was exposed to electronic devices (p = 0.049), and screen time exposure duration (p = 0.040). Conclusions The study highlights the significant association between screen time exposure and the development of ASD in children. Public awareness of this associated risk among caregivers is recommended to follow the protective guidelines. Further research and interventions are needed to better understand and address the impact of screen media use on children's neurodevelopment and overall well-being.

Correlations between the screen time of children with special needs and their parent-child relationships, home participation, and occupational performance.

This study aimed to examine the relationships between the screen time of children with special needs and of their parents with their home participation, occupational performance, and parent-child relationships according to sex and diagnosis. Parents of 150 children with special needs (age range, 4 to 6 years) such as autism spectrum disorder, cerebral palsy, and attention deficit hyperactivity disorder, as well as undiagnosed and developmentally risky children, were included. The Demographic Information Form, Screen Time Usage Form, Parent-Child Relationship Scale, Participation and Environment Measure for Children and Youth, and Short Child Occupational Profile were used for the data collection. There was a significant relationship between the screen time of girls and their parent-child relationships, home participation, and occupational performance. Moreover, we detected a relationship between the screen time of children with autism spectrum disorder and positive parent-child relationships, home participation, and occupational performance. Therapists should account for screen time in their interventions associated with parent-child relationships, home participation, and occupational performance.

Food-related online media (mukbang and cookbang) exposure and dietary risk behaviors in Korean adolescents.

BACKGROUND: Studies have shown that prolonged smartphone use is associated with dietary risk behaviors among adolescents. However, little is known about whether the exposure to food-related online media contents, such as mukbang (eating broadcast) and cookbang (cooking broadcast), is associated with unhealthy dietary behaviors, independent of overall duration of smartphone use. OBJECTIVE: This study investigated the associations between the frequency of mukbang/cookbang watching and dietary risk behaviors among Korean adolescents, using nationally representative survey data. METHODS: In this cross-sectional study, we examined the data from 50,044 middle and high school students in the Korea Youth Risk Behavior Web-based Survey 2022. Participants reported their frequency of mukbang/cookbang watching, average duration of smartphone use, frequency of breakfast eating, frequency of nighttime eating, and intakes of fast foods, sugar sweetened beverages (SSBs), and high-caffeine drinks. We performed multivariable logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for the associations between mukbang/cookbang watching and dietary risk behaviors, accounting for complex survey sampling and adjusting for potential confounders. RESULTS: Frequent mukbang/cookbang watching (≥5 times/wk vs. never) was positively associated with dietary risk behaviors, including frequent breakfast skipping (OR [95% CI]=1.20 [1.13, 1.28]), frequent nighttime eating (1.43 [1.33, 1.54]) and frequent intakes of fast foods (1.69 [1.58, 1.80]), SSBs (1.47 [1.30, 1.66]), and high-caffeine drinks (1.41 [1.33, 1.50]), adjusting for duration of smartphone use. All mukbang/cookbang viewers, including those who perceived that mukbang/cookbang videos had "no influence" on their dietary behavior, had higher prevalence of dietary risk behaviors compared with non-viewers (perceived "no influence" vs. non-viewers: OR [95% CI]=1.18 [1.10, 1.26] breakfast skipping; 1.15 [1.06, 1.24] nighttime eating; 1.40 [1.30, 1.50] fast foods; 1.22 [1.07, 1.38] SSBs; 1.28 [1.20, 1.37] high-caffeine drinks). CONCLUSIONS: Our findings suggest that frequent mukbang/cookbang watching may be associated with unhealthy dietary behaviors among Korean adolescents.

Study on the relationship and related factors between physical fitness and health behavior of preschool children in southwest China.

OBJECTIVE: To investigate the physical fitness level and health behavior status of preschool children in China, explore the relationship between physical fitness and health behavior, and further reveal the main factors affecting health behavior, to provide a reference for improving the physical fitness level of preschool children and maintaining healthy behavior. METHODS: A total of 755 preschool children (394 boys and 361 girls, aged 4.52 ± 1.11 years) were selected from Chongqing and Liupanshui in China by cluster random sampling method for questionnaire survey and physical monitoring, and SPSS21.0 software was used to process and analyze the data. RESULTS: (1) Heart rate (p = 0.015), protein content (p < 0.001), and time spent on the balance beam (p < 0.001) were significantly lower in boys than in girls, while BMI (p = 0.012), muscle mass (p < 0.001), and distance of standing long jump (p < 0.001) were significantly higher in boys than in girls. Meanwhile, systolic blood pressure (p = 0.004) and diastolic blood pressure (p = 0.001) of rural children were significantly higher than those of urban children, while BMI (p < 0.001) and sitting forward flexion (p = 0.019) were significantly lower than those of urban children. (2) The light-intensity physical activity (LPA) and moderate to vigorous physical activity (MVPA) of boys were significantly higher than that of girls (p < 0.001), and the MVPA of urban children was significantly higher than that of rural children (p = 0.001), and the former participated in sports classes more frequently (p < 0.001). (3) There was a significant correlation between physical activity (PA) and physical fitness indicators of preschoolers. Participating in sports interest classes was only significantly correlated with systolic blood pressure (r = 0.08) and sitting forward flexion (r = 0.09). (4) The PA level of preschool children was related to gender, household registration, kindergarten nature, age, residence environment, parental support, and participation degree. Participation in sports interest classes was related to gender, the nature of the kindergarten, household registration, age, and parent participation. Daily screen time was related to household registration, the nature of the kindergarten, the environment of residence, and the value perception of parents. CONCLUSIONS: There were different degrees of correlation between preschool children's physical fitness and health behaviors, and children's health behaviors were closely related to gender, environment, parents, and other factors. Therefore, how to increase the protective factors of children's health behaviors and controlling the risk factors may be crucial to promoting the development of good health behaviors and improving the physical fitness of preschool children.

Adherence to physical activity and screen time recommendations of youth: Demographic differences from National Health and Nutrition Examination Survey 2017-2018.

Background: Engaging in physical activity (PA) and reducing sedentary behaviors among youth are linked to improved mental and physical health. This study aimed to examine demographic differences among youth adhering to PA and Screen Time (ST) recommendations. Methods: The present study utilized data from the 2017-2018 National Health and Nutrition Examination Survey (NHANES). The NHANES survey employed a cross-sectional design and gathered information on the daily duration of moderate-to-vigorous PA lasting 60 min or more, as well as the maximum daily ST not exceeding 2 h. The analysis encompassed a total of 1697 youth aged between 6 and 17 years. Results: Overall, 36.3% of participants adhered to PA recommendations, 20.9% adhered to ST recommendations and 10.8% of youth met both recommendations. The odds of meeting PA, ST and both recommendations were inversely associated with obesity (obese vs. normal: aOR, 0.56 [95% CI, 0.42-0.75]), (aOR, 0.67 [95% CI, 0.48-0.94]) and (aOR, 0.51 [95% CI, 0.32-0.82]) respectively, and age (14-17 years vs. 6-9 years: aOR, 0.2 [95% CI, 0.15-0.27]), (aOR, 0.33 [95% CI, 0.23-0.47]) and (aOR, 0.16 [95% CI, 0.09-0.3]) respectively. Conclusion: A small portion of the youth met PA and ST recommendations. Older youth, youth with obesity, and youth with a parent or guardian who had not completed a high school education were particularly at risk.

Associations of 24-hour movement behaviors with emotional and behavioral problems among Chinese adolescents.

PURPOSE: The role of adherence to the recommendations for 24-hour movement behaviors (24-HMB), including physical activity (PA), screen time (ST), and sleep duration (SLP), in relation to emotional and behavioral problems in Chinese adolescents remains uncertain. This study aimed to investigate these associations and explore potential sex differences. METHODS: This school-based cross-sectional study included 15,071 Chinese adolescents with a mean age of 14.53 (SD: 1.65) years. Data on emotional and behavioral problems and 24-HMB (including PA, ST, and SLP) were collected. Analysis was performed using general linear mixed models, with additional sex-stratified analyses conducted. RESULTS: The number of 24-HMB recommendations met was negatively associated with total difficulties (ß estimate=-0.96, 95% CI: -1.07 to -0.85) and positively related to prosocial behavior (ß estimate = 0.41, 95% CI: 0.37 to 0.46) among adolescents. Compared with none of the recommendations met, meeting all recommendations (total difficulties: ß estimate=-2.98, 95% CI: -3.41 to -2.55; prosocial behaviors: ß estimate = 1.05, 95%CI: 0.87 to 1.24) demonstrated the strongest association with both difficulties and prosocial behaviors, followed by meeting recommendations for PA + ST (total difficulties: ß estimate=-2.15, 95% CI: -2.41 to -1.90; prosocial behaviors: ß estimate = 0.98, 95% CI: 0.87 to 1.09). These associations were consistently significant in both boys and girls. CONCLUSION: Adherence to more 24-HMB recommendations, particularly meeting all recommendations or combined PA + ST recommendations, could improve emotional and behavioral well-being among adolescent girls and boys. The significance of balanced movement behaviors for promoting adolescent mental health merits increased attention.

Effectiveness of a program to lower unwanted media screens among 2-5-year-old children: a randomized controlled trial.

Background: Limited interventions exist on reducing unwanted screen time (ST) among children from low- and middle-income countries (LMICs), so we developed and assessed the effectiveness of the program to lower unwanted media screen time (PLUMS) among children aged 2-5 years in Chandigarh, Union Territory, North India. Methods: An open-label randomized control parallel group trial per CONSORT guidelines was conducted among randomly selected 340 families with children aged 2-5 (±3 months) years in Chandigarh, India. PLUMS was implemented at the family level with a focus on modifying the home media environment and targeted individual-level interventions using parent and child modules for 2 months. A post-intervention (immediately) and a follow-up assessment after 6 months was done. During the follow-up period, the interaction was done passively via WhatsApp groups. The control group received routine healthcare services. Validated and standardized tools, including a digital screen exposure questionnaire with a physical activity component, preschool child behavior checklist, and sleep disturbance scale for children, were used to collect data at baseline, post-intervention, and follow-up periods. The primary outcome was the mean difference in ST (minutes/day) among children in the intervention group versus the control group. Generalized estimating equation (GEE) analysis was performed to adjust for clustering. Results: An equal number of families (n = 170) were randomly assigned to the intervention and control arms. In the post-intervention assessment, 161 and 166 families continued while, at the follow-up assessment, 154 and 147 were in the intervention and control arm, respectively. The mean difference in ST on a typical day [27.7 min, 95% Confidence Interval (CI) 5.1, 50.3] at the post-intervention assessment significantly (p < 0.05) decreased in the intervention (102.6 ± 98.5 min) arm as compared with the control (130.3 ± 112.8 min) arm. A significant reduction in ST (ß = -35.81 min, CI -70.6, -1.04) from baseline (ß = 123.1 min) to follow-up phase (ß = 116 min) was observed in GEE analysis. The duration of physical activity increased both at post-intervention (ß = 48.4 min, CI = +6.6, +90.3) and follow-up (ß = 73.4 min, CI = 36.2, 110.5) assessments in the intervention arm. Conclusion: The PLUMS intervention significantly reduced the children's mean ST on a typical day and increased the physical activity immediately post-intervention and during the 6-month follow-up period. These results might guide the policymakers to include strategies in the national child health programs in the Southeast Asia Region to reduce unwanted ST.Clinical trial registration: https://clinicaltrials.gov/, identifier CTRI/2017/09/009761.

Causal relationships between height, screen time, physical activity, sleep and myopia: univariable and multivariable Mendelian randomization.

Background: This study aims to investigate the independent causal relation between height, screen time, physical activity, sleep and myopia. Methods: Instrumental variables (IVs) for exposures and outcome were obtained from the largest publicly available genome-wide association studies (GWAS) databases. First, we performed a bidirectional univariate MR analysis using primarily the inverse variance weighted method (IVW) with height, screen time, physical activity and sleep as the exposure and myopia as the outcome to investigate the causal relationship between exposures and myopia. Sensitivity analysis was used to demonstrate its robustness. Then the multivariable MR (MVMR) and MR-based mediation approach was further used to estimate the mediating effect of potential confounders (education and time outdoors) on causality. Results: The results of univariate MR analysis showed that taller height (OR = 1.009, 95% CI = 1.005-1.012, p = 3.71 × 10-7), longer time on computer (OR = 1.048, 95% CI = 1.029-1.047, p = 3.87 × 10-7) and less moderate physical activity (OR = 0.976, 95% CI = 0.96-0.991 p = 2.37 × 10-3) had a total effect on the increased risk of developing myopia. Meanwhile our results did not have sufficient evidence to support the causal relationship between chronotype (p = 0.637), sleep duration (p = 0.952) and myopia. After adjusting for education, only taller height remains an independent risk factor for myopia. After adjusting for education, the causal relationship between height, screen and myopia still had statistical significance. A reverse causal relationship was not found in our study. Most of the sensitivity analyses showed consistent results with those of the IVW method. Conclusion: Our MR study revealed that genetically predicted taller height, longer time on computer, less moderate physical activity increased the risk of myopia. After full adjustment for confounders, only height remained independently associated with myopia. As a complement to observational studies, the results of our analysis provide strong evidence for the improvement of myopia risk factors and provide a theoretical basis for future measures to prevent and control myopia in adolescents.

Analysis of the associations between moderate-to-vigorous physical activity and screen time on psychological symptoms among university students: a cross-sectional survey based on six geographic regions in China.

BACKGROUND: Declining physical activity and increasing screen time (ST) among Chinese adolescents have become major concerns shared by scholars, while mental health issues are also on the rise. Previous studies have confirmed the association between physical activity and screen time and psychological symptoms, but it is unclear how their psychological symptoms, especially for Chinese university students who have a high proportion of psychological symptoms, and no research evidence has been found. METHODS: This study investigated physical activity, screen time, and psychological symptoms in 11,173 university students aged 19-22 years in six regions of China. A binary logistic regression analysis was used to analyze the association between moderate-to-vigorous physical activity (MVPA) and screen time and psychological symptoms. And the generalize linear model (GLM) analysis was used to further analyze the association between MVPA and screen time and psychological symptoms. RESULTS: The detection rate of psychological symptoms among Chinese university students was 16.3%, with a higher percentage of female students (17.5%) than male students (14.7%). The proportion of male students (8.2%) with MVPA > 60 min/d was higher than that of female students (2.3%), and the proportion of male students (33.8%) and female students (34.5%) with screen time > 2 h/d was basically the same. The generalize linear model (GLM) analysis showed that university students with MVPA < 30 min/d and screen time > 2 h/d (OR = 1.59, 95% CI: 1.10-2.31) had the highest risk of psychological symptoms (OR = 1.59, 95% CI: 1.10-2.31) compared to university students with MVPA > 60 min/d and screen time < 1 h/d as the reference group. The risk of psychological symptoms was the highest among those with MVPA < 30 min/d and screen time > 2 h/d (OR = 1.59,95% CI: 1.10-2.31). In addition, university students with MVPA > 60 min/d and a screen time of 1-2 h/d (OR = 0.09, 95% CI: 0.03-0.25) had the lowest risk of psychological symptoms (P < 0.001). The same trend was observed for both male and female students. CONCLUSION: Chinese university students have a certain proportion of psychological symptom problems, and there is a significant between MVPA and screen time and psychological symptoms, and the same trend exists for both male and female students. Chinese university students should perform MVPA for not less than 60 min a day, and at the same time control the duration of screen time, and screen time should be controlled between 1 and 2 h a day, which has a better promotion effect on psychological health.

How Parental Mediation and Parental Phubbing Affect Preschool Children's Screen Media Use: A Response Surface Analysis.

Parental mediation (PM) and parental phubbing (PP) are two pivotal factors that influence children's screen media use. This study used response surface analysis to examine the combined effect of PM and PP on screen time among preschool children. A total of 3,445 parents with preschool-aged children participated in this study, providing self-reported data on PM, PP, and their children's screen time (CST). The results revealed that CST decreased when parents enhanced their mediation behaviors and reduced phubbing behaviors in the cases of congruence between PM and PP. In instances of incongruence, reduced screen time was observed when parents exhibited lower frequency in mediating their CST and displayed fewer phubbing behaviors compared with situations where parents mediated their children more frequently but engaged in higher levels of phubbing behaviors. The findings suggest that PM play a significant role in mitigating preschool-aged children's excessive screen time. Moreover, it is critical to establish positive role modeling by reducing PP behaviors.

Impact of smart technology use on sleep quality in individuals with autism spectrum disorder: a mixed-methods investigation.

Background: Sleep disturbances are common among individuals with autism spectrum disorder (ASD) and can have a negative impact on their daily functioning and core symptoms. As the use of smart technologies continues to rise, it is crucial to understand how these devices affect the sleep quality of individuals with ASD. Aim: The objective of this study was to examine the relationship between the use of smart technology and sleep quality in individuals with ASD. Methods: A mixed-methods approach was employed, combining both quantitative and qualitative data collection techniques. A sample of 83 individuals with ASD, aged between 8 and 25 years, assessed their sleep quality using the Pittsburgh Sleep Quality Index. Additionally, information regarding patterns of smart technology use and relevant covariates was collected. Correlation and regression analyses were conducted to analyze the data. Furthermore, semi-structured interviews were conducted with a subset of participants and their caregivers. Results: Significant positive correlations were found between poorer sleep quality scores and total screen time (r = 0.42, p < 0.001), pre-bedtime technology use (r = 0.51, p < 0.001), gaming (r = 0.32, p = 0.003), and social media use (r = 0.29, p = 0.008). Pre-bedtime technology use was a significant predictor of poorer sleep quality (ß = 0.32, p = 0.006), even after controlling for age, gender, and ASD severity. Conclusion: The findings of this study emphasize the significant associations between the use of smart technology, particularly before bedtime, and poorer sleep quality in individuals with ASD. These results underscore the importance of developing evidence-based interventions and guidelines to promote healthy sleep habits and mitigate the negative effects of technology exposure in this population.

Association of 24-hour movement guideline adherence, mental health and quality of life in young adults: the role of e-Health literacy.

Background: The spread of Covid-19 and resultant infection prevention strategies have disturbed the life routine of Chinese young adults, led to reduced physical activity (PA), prolonged screen time (ST) and inadequate sleep duration (SP), and made immense influence on their mental health (MH) and quality of life (QoL). E-Health literacy (EHL) can enable citizens to use available online information to respond to the highly complex information environment and make appropriate health decisions. Objective: This study aims to examine associations between adhering to 24-h movement (24HM) guidelines and MH and QoL among young adults, as well as to identify any mediating or moderating role of EHL in these associations. Methods: 1742 young adults (20.03 ± 1.54 years old, 68.6% females) from north and south China completed self-report measures of 24HM (PA, ST and SP), health indicators (MH and QoL), EHL and demographic information through an online survey between 4 Apr and 16 Jun 2022. Generalized linear mixed models were applied for data analysis. Results: Results showed that adhering to PA, ST and SP guidelines were all positively connected with QoL while MH was associated with adhering ST or SP guidelines. Adhering to more of 24HM guidelines was linked to better MH and QoL. EHL significantly mediated the association of guideline adherence and QoL and moderate that of guideline adherence and MH. Conclusion: This is the first study to investigate the role of EHL on the associations between 24HM and MH as well as QoL during the Covid-19. The findings may contribute to further empirical research or intervention that aims to promote MH or QoL among young adults more effectively or provide valuable references for developing relevant strategies or policy of health promotion or public health events in China.

Screen Time and Hours of Sleep Influence the Estimate Risk of Diabetes Mellitus and Metabolic Syndrome in Healthy Young Males.

Objective: Screen time (ST) has shown negative effects on physical and mental health, with an increase in the prevalence of overweight, metabolic syndrome (MetS), and obesity. The time spent in front of the screens was also associated with higher odds of selecting indicators of cardiometabolic disease in adulthood. In view of this, the aim of this study was to identify the risk of MetS and type 2 diabetes mellitus (T2DM) in healthy young males and relate it to ST and sleep time. Methods: We evaluated physical and laboratory characteristics, dichotomous diagnosis criteria, and continuous scores to assess MetS and Finnish Diabetes Risk Score questionnaire to measure the T2DM risk. Results: The means of MetS dichotomous and continuous severity criteria, among individuals with <7 hr of sleep, were higher than those with adequate sleep. We did not observe a direct impact of ST on the risk of MetS; nevertheless, >8 hr of ST increased 1.22 points in the T2DM risk. Conclusion: Excessive ST increased the risk of T2DM, but not of MetS. Moreover, sleeping <7 hr was associated with a higher mean of dichotomous and continuous severity criteria for MetS.

Screen Time Exposure and Domain-Specific Working Memory in Young Adults.

Introduction With technology advancing across all fields, the utility of digital screens is increasing among all age groups for various purposes. Research indicates that while digital technology presents clear advantages, prolonged exposure can have detrimental effects on various aspects of health, behavior, emotions, and cognitive functions like attention and working memory. A crucial cognitive process for learning and information processing which is working memory, can be affected by factors including screen time. Studies have found that the impact of screen time on working memory can be negative, positive, or show no discernible relationship. However, earlier investigations are limited to smartphone use as screen time exposure and further to only active screen time. As there is a dearth of studies in the Indian context and young adults are more exposed to screen time, it is important to investigate along these lines. Hence, the present study aimed to investigate the impact of active and passive screen time exposure on modality-specific working memory in young adults. Methods Seventy-seven neurotypical individuals aged between 18 and 22 years were recruited. The study utilized auditory and visual reverse digit span tasks and the Corsi-backward task to measure working memory span. Screen time data of the participants were collected through a self-administered 18-item questionnaire covering active and background screen time domains. Results and discussion The present study concluded that only active screen time has a significant effect on visual reverse digit span and supports the notion of the visual superiority effect against an auditory superior effect as suggested by earlier findings. The preliminary findings of correlation observed exclusively within the visual domain in this study could be attributed to the potential impact of screen time exposure (active screen time and textual content). Screen usage demands effective switching between various visual stimuli and ongoing updates of information in memory. Nonetheless, interpreting this explanation and generalization requires caution, given the low ecological validity of the task employed in the study. Future investigations should aim to collect screen time exposure data more objectively, perhaps through online tracking techniques. Furthermore, it would be prudent to expand the correlation analysis to include other cognitive processes and populations.

The association between screen time exposure and myopia in children and adolescents: a meta-analysis.

OBJECTIVE: This study aimed to systematically review epidemiological evidence on associations between screen time exposure and myopia in children and adolescents, and to quantitatively evaluate summary effect estimates from existing literature. METHOD: There were three online databases including PubMed, Embase, and Web of Science, for epidemiological studies on screen time exposure and myopia published before June 1, 2023. The risk of bias was assessed by the Newcastle Ottawa Scale (NOS) checklist. Summary odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the correlation between screen time exposure and myopia using random or fixed-effect models by exposure type (categorical/continuous). We also performed subgroup analysis by screen device type, study quality, geographic region, and research period. RESULTS: We searched 7,571 records from three databases and identified 19 eligible studies, including 14 high-quality studies and 5 moderate-quality studies. Meta-analyses suggested that there was a statistically significant correlation between screen time (high vs. low) and myopia. The pooled ORs with 95%CIs were respectively 2.24 (1.47-3.42) for cross-sectional studies, and 2.39 (2.07-2.76) for cohort studies. We also found a significant association between continuous exposure to screen time (per 1 h/d increase) and myopia in cohort studies. The pooled ORs with 95%CIs were 1.07 (1.01-1.13). In subgroup analysis stratified by screen device type in cross-sectional studies, screen time exposures from computers (categorical: OR = 8.19, 95%CI: 4.78-14.04; continuous: OR = 1.22, 95%CI: 1.10-1.35) and televisions (categorical: OR = 1.46, 95%CI: 1.02-2.10) were associated with myopia, while smartphones were not. Although publication bias was detected, the pooled results did not show significant changes after adjustment using the trim and fill method. CONCLUSION: Our findings support that screen time exposure was significantly associated with myopia in children and adolescents. Notably, screen time exposure from computers may have the most significant impact on myopia.

Barriers and enablers to promoting grandchildren's physical activity and reducing screen time: a qualitative study with Australian grandparents.

BACKGROUND: With an increasing number of grandparents providing care to their grandchildren, calls have been made for these caregivers to be considered important stakeholders in encouraging children's engagement in health-promoting behaviors, such as physical activity. Understanding the perspectives of grandparents who provide care is crucial to informing efforts that aim to increase children's physical activity, yet little is understood about their perceptions of specific barriers and enablers to promoting children's physical activity and reducing screen time. The present study sought to explore these perceptions. METHODS: Semi-structured focus groups and individual interviews were conducted with grandparents who reported providing care to a grandchild aged 3 to 14 years. A total of 20 grandparents were sampled (mean age = 67.8 years). Data were subjected to reflexive thematic analysis. RESULTS: Key reported barriers to physical activity included (i) the effort (physical and logistical) and financial cost associated with organizing physical activities, (ii) grandparents' age and mobility issues (e.g., due to injury or illness), (iii) caring for children of different ages (e.g., older children having different physical activity interests than younger children), and (iv) a local environment that is not conducive to physical activity (e.g., lack of appropriate facilities). Barriers to reducing screen time included (i) parents sending children to care with electronic devices and (ii) children's fear of missing out on social connection that occurs electronically. Strategies and enablers of physical activity included (i) integrating activity into caregiving routines (e.g., walking the dog), (ii) involving grandchildren in decision making (e.g., asking them in which physical activities they wish to engage), (iii) encouraging grandchildren to engage in activity with other children, and (iv) creating a physical and social environment that supports activity (e.g., owning play equipment). A common strategy for reducing screen time was the creation of a home environment that is not conducive to this activity (e.g., removing electronic devices from view). CONCLUSIONS: Findings suggest that grandparents may benefit from resources that assist them to identify activities that are inexpensive and require minimal effort to organize. Activities that account for grandparents' age and health status, as well as any environmental barriers, are likely to be well-received.