Screen Time Use Research Articles

Weight-related Self-monitoring App Use Among Emerging Adults is Cross-sectionally Associated With Amount and Type of Physical Activity and Screen Time.

Weight-related self-monitoring (WRSM) apps are often used by emerging adults to assist in behavior change. However, little is known about the relationship between WRSM among the general population of emerging adults and various physical activity and screen time behaviors. This paper examines associations between WRSM app use and various forms of physical activity and screen time among a population-based sample of emerging adults. Data come from EAT 2018 (N = 1,568, mean age = 22.0 ± 2.0 years), a population-based sample of emerging adults from Minneapolis/St. Paul, Minnesota. Participants reported on the types of WRSM apps used (physical activity and/or dietary focused), in addition to how much time they spent doing physical activity, whether they practiced yoga, compulsive exercise, recreational screen time, social media use, and whether they viewed dieting/weight loss materials. Linear and logistic regressions were used to assess adjusted means and prevalences of outcomes. We found that physical activity-focused WRSM app users engaged in more hours of total (8.7 vs 7.2, P < .001), and moderate-to-vigorous (5.1 vs 4.3, P = .002) physical activity compared to non-users. Similar results were found for dietary WRSM app users compared to non-users. However, WRSM app users had higher levels of compulsive exercise and were more likely to view dieting/weight loss materials (Ps < .001). Findings suggest that although physical activity is higher among WRSM users, the types of physical activity and screen time behaviors WRSM users are engaging in may be harmful.

Outdoor time, screen time and sleep reported across early childhood: concurrent trajectories and maternal predictors

BackgroundUnderstanding the developmental trajectories of outdoor time, screen time and sleep is necessary to inform early interventions that promote healthy behaviours. This study aimed to describe concurrent trajectories of outdoor time, screen time and sleep across the early childhood period and their maternal predictors.MethodsData across five time points at child age 4, 9, 19, 42 and 60 months from the INFANT intervention were analysed. Mothers reported their child’s usual outdoor time, screen time and sleep duration, in addition to a range of maternal beliefs, attitudes, expectations and behaviours. Group-based multi-trajectory modelling was used to model concurrent trajectories of children’s behaviours. Multinomial logistic regression models determined the associations of maternal predictors with trajectory groups, adjusting for child sex and baseline age, intervention allocation, and clustering by recruitment.ResultsOf the 542 children recruited, 528 had data for outdoor time, screen time and sleep at one or more time points and were included in trajectory analyses Four trajectories were identified: ‘unstable sleep, increasing outdoor time, low screen’ (~ 22% of sample), ‘high outdoor time, low screen, high sleep’ (~ 24%), ‘high sleep, increasing outdoor time, low screen’ (~ 45%), ‘high screen, increasing outdoor time, high sleep’ (~ 10%). The ‘high sleep, increasing outdoor time, low screen’ group, comprising the largest percentage of the sample, demonstrated the healthiest behaviours. Predictors of group membership included: views of physically active children, screen time knowledge, screen time use, self-efficacy, physical activity optimism, future expectations for children’s physical activity and screen time, perceptions of floor play safety, and maternal physical activity, screen time, and sleep quality.ConclusionsFour distinct trajectories of outdoor time, screen time and sleep were identified, with the most common (and healthiest) characterized by high levels of sleep. Maternal beliefs, attitudes, expectations and behaviours are important in the development of movement behaviour trajectories across early childhood. Future interventions and public policy may benefit from targeting these factors to support healthy movement behaviours from a young age.

Parental knowledge, attitudes and concerns towards media technology and screen time use in children with ASD and typically developing children

BACKGROUND: While digital technology has helped in various aspects as learning, social communication and entertainment, it poses substantial risk for young children. Amongst the various effects, excessive screen time has been identified as a risk for autism. OBJECTIVES: Against the background of increasing use of digital devices and lack of data on parental involvement, the present study aimed to investigate the parental knowledge, attitudes and concerns towards Media Technology And Screen time (MeTS) use by preschool children with Autism Spectrum Disorder (ASD) and Typically Developing (TD) children in Indian context. METHODS: 182 parents of children with ASD (n= 90) and TD (n= 92) participated in a survey to answer various closed and open-ended questions related to device usage, knowledge, attitude and concerns related to children’s use of MeTS using the google forms. Responses from the survey were descriptively analyzed and compared between groups using chi-square test and qualitative thematic analysis methods. RESULTS: Results of our study revealed that children with ASD were exposed to MeTS from an earlier age, while average exposure to MeTS was significantly higher in TD children. Parents of children from the two groups showed good and comparable knowledge about the effects of MeTS and reported using various methods to monitor its use in children. Further, the parents showed concerns and possessed mixed attitude towards MeTS use in their children.

Screen media exposure and behavioral adjustment in early childhood during and after COVID-19 home lockdown periods

There is ample evidence that young children's screen media use has sharply increased since the outbreak of the novel 2019 coronavirus disease (COVID-19). However, the long-term impact of these changes on children's adjustment is currently unclear. The goals of the current study were to assess longitudinal trajectories of young children's screen media exposure through a series of national COVID-19 home lockdowns and to examine the predictive associations between different aspects of media exposure and post-lockdown behavioral adjustment. Data were collected at four timepoints during and after home lockdown periods in Israel. Longitudinal data measuring various aspects of media use, behavioral conduct and emotional problems were gathered from a sample of 313 Israeli children (54% females) between the ages two to five years (Mage at T1 = 3.6), by surveying their mothers at 5 points in time. Child overall screen time use, exposure to background television, use of media to regulate child distress and maternal mobile device use all changed throughout the lockdown periods. Moreover, during lockdowns children's behavior problems were concurrently and positively correlated with screen time, use of media to regulate child distress, and exposure to background television. However, these were not longitudinally related to child behavior problems in the post-lockdown period. Possible implications for family media use during a public health crisis are discussed.

The mental health effects of the COVID-19 pandemic on children and adolescents: Risk and protective factors.

The restrictions to contain the coronavirus disease 2019 (COVID-19) pandemic have led to considerable social isolation, posing significant threats to mental health worldwide. The preventive lockdowns may be especially difficult for children and adolescents, who rely extensively on their daily routines and peer connections for stability and optimal development. However, there is a dearth of longitudinal research examining the mental health and daily life impact of the pandemic among children and adolescents. This study addresses this gap by examining the influence of the COVID-19 pandemic on children and adolescents' mental health and well-being, and potential risk and protective moderators of mental health change. In the present study, 1,537 Israeli children and adolescents (Mage = 13.97; 52% girls) completed a battery of questionnaires in September 2019; before the COVID-19 outbreak and immediately after an 8-week lockdown period when schools reopened in May 2020. A repeated measures multivariant analysis of variance (MANOVA) revealed significantly greater anxiety, depression, and panic symptoms, increases in video game, Internet and TV screen time use, and decreases in positive emotions, life satisfaction, social media use, and peer support during the pandemic. Participants with higher baseline mental health symptoms showed greater symptoms after the lockdown period. Perceived social support and consistent daily routines were found to act as significant protective factors against symptomatology. The results highlight the significant mental health consequences of the pandemic on children and adolescents, and substantiate the significant parents' and peers' roles in children's and adolescents' coping during this global pandemic. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Use of Gadgets with Screen Time on Emotional Intelligence in The Digital Era in Middle Adolescence (15-18 Years)

Gadget addiction causes various personality disorders. This study is to determine whether the use of gadgets with screen time has an effect on emotional intelligence. This research uses the cross-sectional method. The research variables are gadgets as an independent variable, screen time as an intervening variable, and emotional intelligence as a determining variable. The population of adolescents is the middle adolescence (15-18 years) SMA X Semarang City as many as 252 people. Using a minimum sample of 100 people, with a cluster random sampling technique. Data analysis using Path Analysis. Validity test with a 5% confidence level of 0.374. The calculated r-value &gt; r-table. The reliability test used Cronbach Alpha with the results of the reliability value &gt; 0.7. Research results: (1) The significance value of 0.751 &gt; 0.05 means that the use of gadgets does not affect screen time. (2) The significance value of 0.025 &lt; 0.05 means that the use of gadgets affects emotional intelligence. (3) The significance value of 0.722 &gt; 0.05 means that the use of screen time does not affect emotional intelligence. (4) The direct effect of using gadgets on emotional intelligence is explained by a beta value of 0.228. (5) The indirect effect between gadget use and screen time as an intervening variable is (-0.032 x 0.035 = (-0.00112), so 0.228 &gt; (-0.00112), meaning that screen time is not an intervening variable between gadgets and emotional intelligence. The better a person's emotional intelligence, the better it will be accepted by the community.

Screen time and myopia: A serial multiple mediator SEM analysis.

BackgroundCOVID-19 has influenced education systems worldwide, and significantly increased screen time for college students, posing a potential risk of myopia. In China, ninety percent of college students suffer from myopia. Excessive screen time changes college students' lifestyles, imposes potential health risks, and affects opportunities for employment. It is important to identify the potential correlation between screen time use and myopia among college students.MethodsThis paper conducted a nationwide experiment using Chinese college students and set a multiple-mediator SEM model to analyze the potential correlation between screen time and myopia. The two mediators were sedentary behavior and physical activity, respectively.ResultsWe obtained three valuable conclusions as follows: First, there was no significant direct relationship between screen time and myopia among Chinese college students during the COVID-19 pandemic. Second, sedentary behavior and physical activity significantly predicted the increase/decrease of myopia among Chinese college students, respectively. Third, a serial multiple mediator that encompassed sedentary behavior and physical activity sequentially fully mediated the relationship between screen time and myopia.ConclusionsAlthough there was no directly significant relationship between screen time and myopia, screen time can indirectly influence the risk of suffering myopia by influencing sedentary behavior and physical activity. Our study demonstrates the need to prevent the potential influence of overuse of electronic devices on myopia in college students, especially during the COVID-19 pandemic.

2.95 Assessing for Screen Time Use in Child and Adolescent Psychiatry Patients

The goals of this study are: 1) to evaluate how and to what degree clinicians assess screen use in their child and adolescent psychiatry patients; and 2) to raise awareness about the impacts of various types and frequencies of screen time use on mental health.

Early effects of COVID-19 on physical activity and screen time use among elementary school students in Columbus, New Mexico.

Adherence to national physical activity guidelines among youth ages 6-11 in the United States is low. The emergence of COVID-19 and the public health measures implemented in response may have decreased children’s physical activity even further. We conducted an online survey among parents of students attending Columbus Elementary School in Columbus, New Mexico, a rural community on the US-Mexico border, to assess changes in children’s physical activity and screen time use from summer 2019 to summer 2020. We also sought to identify important covariates. All parents (N = 55) and children (N = 87) identified as Hispanic; most parents were born in Mexico, while most children were born in the United States. Most parents (79.3%) reported a decrease in their children’s physical activity from 2019 to 2020, and the vast majority of these parents reported that the changes were due to COVID-19 home confinement. The mean number of days children were physically active for >60 minutes significantly decreased, while daily screen time use increased. Having parents born in Mexico, infrequent family meals (<3/week), and not having community spaces for physical activity close by protected children from decreases in their level of physical activity from 2019 to 2020. Home-based exercise may serve as a suitable method of physical activity when public health responses to COVID-19 restrict community spaces. Future interventions should also be mindful of the role that parental nativity and related cultural factors may play in children’s physical activity levels.

Measuring Microtemporal Processes Underlying Preschoolers' Screen Use and Behavioral Health: Protocol for the Tots and Tech Study.

BackgroundExcessive screen time is associated with poor health and behavioral outcomes in children. However, research on screen time use has been hindered by methodological limitations, including retrospective reports of usual screen time and lack of momentary etiologic processes occurring within each day.ObjectiveThis study is designed to assess the feasibility and utility of a comprehensive multibehavior protocol to measure the digital media use and screen time context among a racially and economically diverse sample of preschoolers and their families. This paper describes the recruitment, data collection, and analytical protocols for the Tots and Tech study.MethodsThe Tots and Tech study is a longitudinal, observational study of 100 dyads: caregivers and their preschool-age children (aged 3-5 years). Both caregivers and children will wear an Axivity AX3 accelerometer (Axivity Ltd) for 30 days to assess their physical activity, sedentary behavior, and sleep. Caregivers will complete ecological momentary assessments (EMAs) for 1 week to measure child behavioral problems, caregiver stress, and child screen time.ResultsThe Tots and Tech study was funded in March 2020. This study maintains rolling recruitment, with each dyad on their own assessment schedule, depending on the time of enrollment. Enrollment was scheduled to take place between September 2020 and May 2022. We aim to enroll 100 caregiver-child dyads. The Tots and Tech outcome paper is expected to be published in 2022.ConclusionsThe Tots and Tech study attempts to overcome previous methodological limitations by using objective measures of screen time, physical activity, sedentary behavior, and sleep behaviors with contextual factors measured by EMA. The results will be used to evaluate the feasibility and utility of a comprehensive multibehavior protocol using objective measures of mobile screen time and accelerometry in conjunction with EMA among caregiver-child dyads. Future observational and intervention studies will be able to use this study protocol to better measure screen time and its context.International Registered Report Identifier (IRRID)DERR1-10.2196/36240

Content and Effectiveness of Web-Based Treatments for Online Behavioral Addictions: Systematic Review.

BackgroundVery few people seek in-person treatment for online behavioral addictions including gaming and gambling or problems associated with shopping, pornography use, or social media use. Web-based treatments have the potential to address low rates of help seeking due to their convenience, accessibility, and capacity to address barriers to health care access (eg, shame, stigma, cost, and access to expert care). However, web-based treatments for online behavioral addictions have not been systematically evaluated.ObjectiveThis review aimed to systematically describe the content of web-based treatments for online behavioral addictions and describe their therapeutic effectiveness on symptom severity and consumption behavior.MethodsA database search of MEDLINE, Embase, PsycInfo, Web of Science, Cochrane Central Register of Controlled Trials, and Google Scholar was conducted in June 2022. Studies were eligible if the study design was a randomized controlled trial or a pre-post study with at least 1 web-based intervention arm for an online behavioral addiction and if the study included the use of a validated measure of problem severity, frequency, or duration of online behavior. Data on change techniques were collected to analyze intervention content, using the Gambling Intervention System of CharacTerization. Quality assessment was conducted using the Effective Public Health Practice Project Quality Assessment Tool.ResultsThe review included 12 studies with 15 intervention arms, comprising 7 randomized controlled trials and 5 pre-post studies. The primary focus of interventions was gaming (n=4), followed by internet use inclusive of screen time and smartphone use (n=3), gambling (n=3), and pornography (n=2). A range of different technologies were used to deliver content, including websites (n=6), email (n=2), computer software (n=2), social media messaging (n=1), smartphone app (n=1), virtual reality (n=1), and videoconferencing (n=1). Interventions contained 15 different change techniques with an average of 4 per study. The techniques most frequently administered (>30% of intervention arms) were cognitive restructuring, relapse prevention, motivational enhancement, goal setting, and social support. Assessment of study quality indicated that 7 studies met the criteria for moderate or strong global ratings, but only 8 out of 12 studies evaluated change immediately following the treatment. Across included studies, two-thirds of participants completed after-treatment evaluation, and one-quarter completed follow-up evaluation. After-intervention evaluation indicated reduced severity (5/9, 56%), frequency (2/3, 67%), and duration (3/7, 43%). Follow-up evaluation indicated that 3 pre-post studies for gaming, gambling, and internet use demonstrated reduced severity, frequency, and duration of consumption. At 3-month evaluation, just 1 pre-post study indicated significant change to mental health symptoms.ConclusionsWeb-based treatments for online behavioral addictions use an array of mechanisms to deliver cognitive and behavioral change techniques. Web-based treatments demonstrate promise for short-term reduction in symptoms, duration, or frequency of online addictive behaviors. However, there is limited evidence on the effectiveness of web-based treatments over the longer term due to the absence of controlled trials.

Associations between meeting 24-hour movement guidelines and quality of life among children and adolescents with autism spectrum disorder

BackgroundThe Canadian 24-hour movement behavior (24-HMB) guidelines suggest that a limited amount of screen time use, an adequate level of physical activity (PA), and sufficient sleep duration are beneficial for ensuring and optimizing the health and quality of life (QoL) of children and adolescents. However, this topic has yet to be examined for children and adolescents with autism spectrum disorder (ASD) specifically. The aim of this cross-sectional observational study was to examine the associations between meeting 24-HMB guidelines and several QoL-related indicators among a national sample of American children and adolescents with ASD. MethodsData were taken from the 2020 U.S. National Survey of Children's Health dataset. Participants (n = 956) aged 6–17 years and currently diagnosed with ASD were included. The exposure of interest was adherence to the 24-HMB guidelines. Outcomes were QoL indicators, including learning interest/curiosity, repeating grades, adaptive ability, victimization by bullying, and behavioral problems. Categorical variables were described with unweighted sample counts and weighted percentages. Age, sex, race, preterm birth status, medication, behavioral treatment, household poverty level, and the educational level of the primary caregivers were included as covariates. Odds ratio (OR) and 95% confidence interval (95%CI) were used to present the strength of association between adherence to 24-HMB guidelines and QoL-related indicators. ResultsOverall, 452 participants (45.34%) met 1 of the 3 recommendations, 216 (22.65%) met 2 recommendations, whereas only 39 participants (5.04%) met all 3 recommendations. Compared with meeting none of the recommendations, meeting both sleep duration and PA recommendations (OR = 3.92, 95%CI: 1.63–9.48, p < 0.001) or all 3 recommendations (OR = 2.11, 95%CI: 1.03–4.35, p = 0.04) was associated with higher odds of showing learning interest/curiosity. Meeting both screen time and PA recommendations (OR = 0.15, 95%CI: 0.04–0.61, p < 0.05) or both sleep duration and PA recommendations (OR = 0.24, 95%CI: 0.07–0.87, p < 0.05) was associated with lower odds of repeating any grades. With respect to adaptive ability, participants who met only the PA recommendation of the 24-HMB were less likely to have difficulties dressing or bathing (OR = 0.11, 95%CI: 0.02–0.66, p < 0.05) than those who did not. For participants who met all 3 recommendations (OR = 0.38, 95%CI: 0.15–0.99, p = 0.05), the odds of being victimized by bullying was lower. Participants who adhered to both sleep duration and PA recommendations were less likely to present with severe behavioral problems (OR = 0.17, 95%CI: 0.04–0.71, p < 0.05) than those who did not meet those guidelines. ConclusionSignificant associations were found between adhering to 24-HMB guidelines and selected QoL indicators. These findings highlight the importance of maintaining a healthy lifestyle as a key factor in promoting and preserving the QoL of children with ASD.

An Observational Report of Screen Time Use Among Young Adults (Ages 18-28 Years) During the COVID-19 Pandemic and Correlations With Mental Health and Wellness: International, Online, Cross-sectional Study.

BackgroundScreen time (ST) drastically increased during the COVID-19 pandemic, but there is little research on the specific type of ST use, degree of change from before COVID-19, and possible associations with other factors. Young adults are a particular interest since previous studies have shown the detriment ST has on a young person’s health. With the combination of a life-changing pandemic, there are unreached depths regarding ST and young adults. This study aims to provide insight into these unknowns.ObjectiveThis study aims to assess ST in 3 domains (entertainment, social media [SM], and educational/professional) in young adults early in the COVID-19 pandemic; identify trends; and identify any correlations with demographics, mental health, substance abuse, and overall wellness.MethodsAn online, cross-sectional observational study was performed from September 2020 to January 2021 with 183 eligible respondents. Data were collected on ST, trauma from COVID-19, anxiety, depression, substance use, BMI, and sleep.ResultsThe average total ST during COVID-19 was 23.26 hours/week, entertainment ST was 7.98 hours/week, SM ST was 6.79 hours/week, and ST for educational or professional purposes was 8.49 hours/week. For all categories, the average ST during COVID-19 was higher than before COVID-19 (P<.001). We found ST differences between genders, student status, and continent of location. Increased well-being scores during COVID-19 were correlated with greater change in total ST (P=.01). Poorer sleep quality (P=.01) and longer sleep duration (P=.03) were associated with a greater change in entertainment ST (P=.01). More severe depression and more severe anxiety was associated with the amount of entertainment ST (P=.047, P=.03, respectively) and greater percent change in SM (P=.007, P=.002, respectively). Greater stress from COVID-19 was associated with the amount of ST for educational/professional purposes (P=.05), change in total ST (P=.006), change in entertainment ST (P=.01), and change in ST for educational/professional purposes (P=.02). Higher Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) tobacco scores were associated with greater change in total ST (P=.004), and higher pack-years were associated with greater change in SM ST (P=.003). Higher alcohol scores (P=.004) and servings of alcohol per week (P=.003) were associated with greater change in entertainment ST. Quarantining did not negatively impact these variables.ConclusionsThere is no doubt ST and worsening mental health increased during COVID-19 in young adults. However, these findings indicate there are many significant associations between ST use and mental health. These associations are more complex than originally thought, especially since we found quarantining is not associated with mental health. Although other factors need to be further investigated, this study emphasizes different types of ST and degree of change in ST affect various groups of people in discrete ways. Acknowledging these findings can help young adults optimize their mental health during pandemics.

'I'm not perfect': Navigating screen time among parents of young children during COVID-19.

BackgroundThe use of screen time for young children has been hotly debated among experts. This study explored the utilization of screen time among mothers with young children during the COVID‐19 pandemic. The objective of this study was to understand maternal motivation for utilizing screen time and how mothers have engaged in screen time since the beginning of the pandemic.MethodThis paper uses a sample of n = 25 mothers who participated in an in‐depth interview about parenting during the COVID‐19 pandemic. The team utilized a thematic analysis approach to qualitatively code the transcripts. All analyses were conducted in Dedoose 8.3, and all transcripts were coded by three independent researchers to enhance rigour.ResultsFive main themes emerged from the interviews: (1) harbouring screen guilt versus letting it go, (2) managing full‐time work and full‐time parenting, (3) prioritizing mental sanity, (4) socially distant supports demand screen time and (5) screens can have positive uses, too.ConclusionDuring the COVID‐19 pandemic, mothers have resorted to screen time use to cope with increased stress and challenges. However, mothers have also found positive uses for screen time, such as connection with extended family members, peer interaction and educational activities. Findings highlight the need to differentiate screen time use by quality and to update formal screen time guidelines considering changing roles of technology.

Stages of Change for Screen Time Behavior among High School Female Students

Objective(s): The aim of this study is to understand stages of change for screen time behavior among high school female students. Methodology: Part of the study was an experimental randomized controlled trial used to guide this study. The study was conducted at Al-Wihdah High School for females in Al-Nasiriyah City. The study encompassed a simple random sample of 144 high school female students. The study instrument includes subjects’ sociodemographic characteristics of age, living arrangement, family’s socioeconomic status. It also includes the Transtheoretical Model of Change measures of Stages of Change for Screen Time Scale (Short Form) which includes five questions, each question represents one of the Stages of Change for Screen Time. It also includes Stages of Change for Screen Time Scale (Continuous Measure), the Processes of Change for Screen Time Scale, the Self-Efficacy for Screen Time Scale, and the Decisional Balance Scale for Screen Time. Data were collected using a self-reported method for the period from November 1st, 2021 to April 10th, 2022. Data were analyzed using the statistical package for social science (SPSS) for windows, version 26. Results: The values of the Stages of Change of screen time use for the study group noticeably increase by time compared to the control group (Pretest = 76.47 vs. 68.87, Posttest II = 79.05 vs. 69.18, Posttest II = 81.15 vs. 66.90) respectively. Higher score means greater Stages of Change of screen time use. Conclusion: Subjects in the Action Stage of Change for screen time enjoy better Pros and Decisional Balance of refraining from excessive recreational screen time than those in the Preparation and Contemplation Stages of Change respectively.

Vulnerabilities Prompting Use of Technology and Screen by Mothers of Autistic Children in India: Lived Experiences and Comparison to Scientific Literature

Technology and screen media has its place in every home, yet the influences of the same are less known. This research aims to explore the vulnerabilities that prompt the mothers to use screen media for their children, prior to a diagnosis of autism for their child. It also aims to explore literature the influence of screen media on speech and language development in children. This study combined semi-structured interviews with 16 mothers of autistic children in Southern India and a scoping literature review that resulted in 24 articles. The literature refers to a positive influence when co-viewing with the child, and it predominantly highlights improvements in speech and not in language. The interviews revealed that screens were used as a means of support, a language and learning development tool, or as a calming technique. Thus, the study shows that the mothers resorted to screen use for their children more out of helplessness, and not as an informed choice. Mothers of autistic children clearly express their vulnerabilities and indicate feelings of being lost without advice, with regard to use of screen-time. This suggests a need for more research into how they can be supported.

Creativity and Smartphone Use: Three Correlational Studies

Various books and popular media outlets claim that mindless smartphone use can impair creativity, yet few studies have tested this idea. We conducted a survey and three correlational studies focused on divergent thinking, the mindful ability to generate creative responses to open-ended problems. Most of the 48,000 participants surveyed thought that smartphone use reduced creativity. This view was consistent with the negative correlations we found between divergent thinking and both screen time and problematic smartphone use ( to −.35) in an exploratory sample of 62 university students. However, in two pre-registered replications with larger and more diverse samples (N = 294 and 16,932), we found at most tiny correlations between measures of divergent thinking or creative achievement and several types of smartphone use ( to .09). Thus, the link between smartphone use and creativity may be weaker or more nuanced than is commonly believed.

Association Between the Patterns of Five Unhealthy Behaviors and Suicidal Behaviors Among Adolescents in Six Provinces of China.

BackgroundIn adolescents, multiple unhealthy behaviors frequently occur together and are likely to be associated with suicidal behaviors (SBs), increasing the risk of suicide. This study aimed to clarify the potential patterns of unhealthy behaviors in Chinese adolescents and to examine the associations between the different patterns of unhealthy behaviors and SBs.MethodsA total of 22,628 middle school students were enrolled in this study. Self-reported unhealthy behaviors and SBs were investigated using questionnaires. Latent class analysis (LCA) was performed based on five unhealthy behaviors [smoking, alcohol use (AU), diet pill use (DPU), screen time (ST), and problematic mobile phone use (PMPU)]. Multivariate logistic regressions were used to examine associations between the different patterns of unhealthy behaviors and SBs.ResultsFour subgroups of unhealthy behaviors were identified by LCA, including high-risk class (smoking/AU/DPU/PMPU/ST), moderate-risk class 1 (DPU/PMPU), moderate-risk class 2 (smoking/AU/ST), and low-risk class. Compared with the low-risk class, moderate-risk class 1, moderate-risk class 2, and high-risk class had higher risks of suicidal ideation, suicide plan, and suicide attempt.ConclusionsThese findings suggested that patterns of unhealthy behaviors were related to SBs in Chinese adolescents. Accordingly, considerations of different classes of unhealthy behaviors may be essential for developing effective preventive programs.

Electronic screen device usage and screen time among preschool-attending children in a suburban area of Sri Lanka

BackgroundExcessive use of screen devices and screen time are increasing health problems in children. We aim to describe the electronic screen device usage and determine the factors associated with their use among preschool-attending children in a suburban population in Sri Lanka.MethodsA cross-sectional study was conducted in a suburban Medical Officer of Health area of Sri Lanka from January to March 2020. All children aged between 36–59 months attending ten randomly selected preschools were recruited. Data were collected using a parent-administered questionnaire and analysed using binary logistic regression in SPSS. The prevalence of electronic device usage, the average time spent on each device, and factors associated with individual device usage were analysed.ResultsA total of 340 children (Male-48%; mean age-50.1 ± 6.9 months) were recruited. Electronic devices were used by 96% of children. The most common devices were the television (87%) and the smartphone (63%). Of the children who used electronic devices, 60% exceeded the recommended screen time limit of one hour per day, 21% used devices for more than two hours per day, and 51% commenced using devices by two years of age. The higher education level of the father was independently associated with the use of smartphones and laptops and daily screen time of more than one hour (p < 0.05 for all). Male sex and being the only child were significantly associated with the use of smartphones, whereas maternal employment was associated with the use of laptops (p < 0.05 for all).ConclusionsElectronic screen devices were used by 96% of preschool-attending children, and over 60% used them for more than the recommended daily upper limit of one hour. Higher paternal education, maternal employment and being the only child were significantly associated with electronic screen device use.

Impact of Sociodemographic Factors on Screen Time Use Among Early Adolescents

Impact of Sociodemographic Factors on Screen Time Use Among Early Adolescents