Leisure-time sedentary behaviors are differentially associated with all-cause dementia regardless of engagement in physical activity.

Sedentary behavior (SB) is associated with cardiometabolic disease and mortality, but its association with dementia is currently unclear. This study investigates whether SB is associated with incident dementia regardless of engagement in physical activity (PA). A total of 146,651 participants from the UK Biobank who were 60 years or older and did not have a diagnosis of dementia (mean [SD] age: 64.59 [2.84] years) were included. Self-reported leisure-time SBs were divided into two domains: time spent watching television (TV) or time spent using a computer. A total of 3,507 individuals were diagnosed with all-cause dementia over a mean follow-up of 11.87 (±1.17) years. In models adjusted for a wide range of covariates, including time spent in PA, time spent watching TV was associated with increased risk of incident dementia (HR [95% CI] = 1.24 [1.15 to 1.32]) and time spent using a computer was associated with decreased risk of incident dementia (HR [95% CI] = 0.85 [0.81 to 0.90]). In joint associations with PA, TV time and computer time remained significantly associated with dementia risk at all PA levels. Reducing time spent in cognitively passive SB (i.e., TV time) and increasing time spent in cognitively active SB (i.e., computer time) may be effective behavioral modification targets for reducing risk of dementia regardless of engagement in PA.

Screen time, brain network development and socio-emotional competence in childhood: moderation of associations by parent-child reading.

BACKGROUND: Screen time in infancy is linked to changes in social-emotional development but the pathway underlying this association remains unknown. We aim to provide mechanistic insights into this association using brain network topology and to examine the potential role of parent-child reading in mitigating the effects of screen time. METHODS: We examined the association of screen time on brain network topology using linear regression analysis and tested if the network topology mediated the association between screen time and later socio-emotional competence. Lastly, we tested if parent-child reading time was a moderator of the link between screen time and brain network topology. RESULTS: Infant screen time was significantly associated with the emotion processing-cognitive control network integration (p = 0.005). This network integration also significantly mediated the association between screen time and both measures of socio-emotional competence (BRIEF-2 Emotion Regulation Index, p = 0.04; SEARS total score, p = 0.04). Parent-child reading time significantly moderated the association between screen time and emotion processing-cognitive control network integration (ß = -0.640, p = 0.005). CONCLUSION: Our study identified emotion processing-cognitive control network integration as a plausible biological pathway linking screen time in infancy and later socio-emotional competence. We also provided novel evidence for the role of parent-child reading in moderating the association between screen time and topological brain restructuring in early childhood.

Longitudinal associations of screen time, physical activity, and sleep duration with body mass index in U.S. youth.

BACKGROUND: Youth use different forms of screen time (e.g., streaming, gaming) that may be related to body mass index (BMI). Screen time is non-independent from other behaviors, including physical activity and sleep duration. Statistical approaches such as isotemporal substitution or compositional data analysis (CoDA) can model associations between these non-independent behaviors and health outcomes. Few studies have examined different types of screen time, physical activity, and sleep duration simultaneously in relation to BMI. METHODS: Data were baseline (2017-2018) and one-year follow-up (2018-2019) from the Adolescent Brain Cognitive Development Study, a multi-site study of a nationally representative sample of U.S. youth (N = 10,544, mean [SE] baseline age = 9.9 [0.03] years, 48.9% female, 45.4% non-White). Participants reported daily minutes of screen time (streaming, gaming, socializing), physical activity, and sleep. Sex-stratified models estimated the association between baseline behaviors and follow-up BMI z-score, controlling for demographic characteristics, internalizing symptoms, and BMI z-score at baseline. RESULTS: In females, isotemporal substitution models estimated that replacing 30 min of socializing (ß [95% CI] = -0.03 [-0.05, -0.002]), streaming (-0.03 [-0.05, -0.01]), or gaming (-0.03 [-0.06, -0.01]) with 30 min of physical activity was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing (-0.03 [-0.05, -0.01]), streaming (-0.02 [-0.03, -0.01]), or gaming (-0.02 [-0.03, -0.01]) with 30 min of sleep was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing with 30 min of gaming was associated with a lower follow-up BMI z-score (-0.01 [-0.03, -0.0001]). CoDA estimated that in males, a greater proportion of time spent in baseline socializing, relative to the remaining behaviors, was associated with a higher follow-up BMI z-score (0.05 [0.02, 0.08]). In females, no associations between screen time and BMI were observed using CoDA. CONCLUSIONS: One-year longitudinal associations between screen time and BMI may depend on form of screen time, what behavior it replaces (physical activity or sleep), and participant sex. The alternative statistical approaches yielded somewhat different results. Experimental manipulation of screen time and investigation of biopsychosocial mechanisms underlying the observed sex differences will allow for causal inference and can inform interventions.

Effectiveness of a parent-focused intervention targeting 24-hour movement behaviours in preschool-aged children: a randomised controlled trial.

BACKGROUND: Interventions focusing on individual behaviours (physical activity, sedentary behaviour, sleep) of preschool-aged children have been widely studied. However, there is a lack of understanding about integrated interventions that target all three 24-hour movement behaviours. This is the first study to assess the effectiveness of an intervention aimed at improving all three 24-hour movement behaviours among preschoolers in Hong Kong. METHODS: A 12-week randomised controlled trial with a 12-week follow-up was conducted. Parent-child pairs were randomised to integrated approach (targeting all three behaviours), dyadic approach (targeting physical activity and sedentary behaviour including screen time), or wait-list control group. Utilising the Internet-based delivery, this intervention consisted of education materials, workshops, and interactive questionnaires and reminders. Two intervention groups employed the same strategies, with the only difference being that the integrated approach targeted sleep in addition to physical activity and sedentary behaviour. The outcomes were preschoolers' overall 24-hour movement behaviours which were assessed by the Activity Sleep Index (ASI), movement behaviour composition, and absolute duration of movement behaviours. Generalised estimating equations were conducted to evaluate the intervention. RESULTS: A total of 147 preschoolers (4.8 ± 0.9 years old, 56.5% boys) and their parents were included. Preschoolers in all groups had a lower ASI at follow-up compared with baseline. Preschoolers in the integrated approach had a smaller decline in ASI at follow-up, compared to that in the control group (3.41; 95% confidence interval [CI] = 0.07, 6.76). Preschoolers in both intervention groups had a smaller reduction of the composition of time spent in physical activity at follow-up, and a decreased screen time at postintervention and follow-up. No significant differences were found for the sleep subcomponent. Furthermore, preschoolers in the dyadic approach had a smaller increase in the sedentary behaviour subcomponent (vs. CONTROL: - 0.21; 95% CI = - 0.37, - 0.05) at follow-up. CONCLUSIONS: Both intervention groups showed a decrease in screen time at postintervention, but there were no significant changes in other behaviours. The favourable changes observed at follow-up demonstrated the effectiveness of both intervention approaches on alleviating the decline in the composition of time spent in physical activity and reducing screen time and revealed the possible effectiveness of the integrated approach in promoting overall movement behaviours among preschoolers. TRIAL REGISTRATION: The study is prospectively registered at the Chinese Clinical Trial Registry (ChiCTR2200055958).

Reliability and validity of rapid assessment tools for measuring 24-hour movement behaviours in children aged 0-5 years: the Movement Behaviour Questionnaire Baby (MBQ-B) and child (MBQ-C).

BACKGROUND: The development of validated "fit-for-purpose" rapid assessment tools to measure 24-hour movement behaviours in children aged 0-5 years is a research priority. This study evaluated the test-retest reliability and concurrent validity of the open-ended and closed-ended versions of the Movement Behaviour Questionnaire for baby (MBQ-B) and child (MBQ-C). METHODS: 300 parent-child dyads completed the 10-day study protocol (MBQ-B: N = 85; MBQ-C: N = 215). To assess validity, children wore an accelerometer on the non-dominant wrist (ActiGraph GT3X+) for 7 days and parents completed 2 × 24-hour time use diaries (TUDs) recording screen time and sleep on two separate days. For babies (i.e., not yet walking), parents completed 2 × 24-hour TUDs recording tummy time, active play, restrained time, screen time, and sleep on days 2 and 5 of the 7-day monitoring period. To assess test-retest reliability, parents were randomised to complete either the open- or closed-ended versions of the MBQ on day 7 and on day 10. Test-retest intraclass correlation coefficients (ICC's) were calculated using generalized linear mixed models and validity was assessed via Spearman correlations. RESULTS: Test-retest reliability for the MBQ-B was good to excellent with ICC's ranging from 0.80 to 0.94 and 0.71-0.93 for the open- and closed-ended versions, respectively. For both versions, significant positive correlations were observed between 24-hour diary and MBQ-B reported tummy time, active play, restrained time, screen time, and sleep (rho = 0.39-0.87). Test-retest reliability for the MBQ-C was moderate to excellent with ICC's ranging from 0.68 to 0.98 and 0.44-0.97 for the open- and closed-ended versions, respectively. For both the open- and closed-ended versions, significant positive correlations were observed between 24-hour diary and MBQ-C reported screen time and sleep (rho = 0.44-0.86); and between MBQ-C reported and device-measured time in total activity and energetic play (rho = 0.27-0.42). CONCLUSIONS: The MBQ-B and MBQ-C are valid and reliable rapid assessment tools for assessing 24-hour movement behaviours in infants, toddlers, and pre-schoolers. Both the open- and closed-ended versions of the MBQ are suitable for research conducted for policy and practice purposes, including the evaluation of scaled-up early obesity prevention programs.

The impact of the world's first regulatory, multi-setting intervention on sedentary behaviour among children and adolescents (ENERGISE): a natural experiment evaluation.

BACKGROUND: Regulatory actions are increasingly used to tackle issues such as excessive alcohol or sugar intake, but such actions to reduce sedentary behaviour remain scarce. World Health Organization (WHO) guidelines on sedentary behaviour call for system-wide policies. The Chinese government introduced the world's first nation-wide multi-setting regulation on multiple types of sedentary behaviour in children and adolescents in July 2021. This regulation restricts when (and for how long) online gaming businesses can provide access to pupils; the amount of homework teachers can assign to pupils according to their year groups; and when tutoring businesses can provide lessons to pupils. We evaluated the effect of this regulation on sedentary behaviour safeguarding pupils. METHODS: With a natural experiment evaluation design, we used representative surveillance data from 9- to 18-year-old pupils before and after the introduction of the regulation, for longitudinal (n = 7,054, matched individuals, primary analysis) and repeated cross-sectional (n = 99,947, exploratory analysis) analyses. We analysed pre-post differences for self-reported sedentary behaviour outcomes (total sedentary behaviour time, screen viewing time, electronic device use time, homework time, and out-of-campus learning time) using multilevel models, and explored differences by sex, education stage, residency, and baseline weight status. RESULTS: Longitudinal analyses indicated that pupils had reduced their mean total daily sedentary behaviour time by 13.8% (95% confidence interval [CI]: -15.9 to -11.7%, approximately 46 min) and were 1.20 times as likely to meet international daily screen time recommendations (95% CI: 1.01 to 1.32) one month after the introduction of the regulation compared to the reference group (before its introduction). They were on average 2.79 times as likely to meet the regulatory requirement on homework time (95% CI: 2.47 to 3.14) than the reference group and reduced their daily total screen-viewing time by 6.4% (95% CI: -9.6 to -3.3%, approximately 10 min). The positive effects were more pronounced among high-risk groups (secondary school and urban pupils who generally spend more time in sedentary behaviour) than in low-risk groups (primary school and rural pupils who generally spend less time in sedentary behaviour). The exploratory analyses showed comparable findings. CONCLUSIONS: This regulatory intervention has been effective in reducing total and specific types of sedentary behaviour among Chinese children and adolescents, with the potential to reduce health inequalities. International researchers and policy makers may explore the feasibility and acceptability of implementing regulatory interventions on sedentary behaviour elsewhere.

Recreational screen time and obesity risk in Korean children: a 3-year prospective cohort study.

BACKGROUND: Studies have shown that prolonged television watching increases obesity risk among children. However, few studies examined the associations with other types of screen time, such as computer and smartphone use, using a prospective cohort study design. Further, little is known about the specific non-screen time activity that may yield the most benefits when reallocating screen time to other activities. METHODS: We conducted a prospective cohort analysis using 3-year follow-up data from the Korean Children and Youth Panel Survey 2018 (n = 2,023; 4th grade elementary students who were not obese at baseline). Average time spent watching television, using computer and smartphone, and other after-school activities were self-reported at baseline. Weight and height were also self-reported at baseline and follow-up surveys through 2021. We performed multivariable logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between screen time and obesity incidence, adjusting for potential confounders. We also performed isotemporal substitution models to examine the associations of reallocating screen time to other non-screen time activities (physical activity, sleeping, hanging out with friends, reading, studying, and chatting with parents) in an equal time-exchange manner. RESULTS: Longer combined screen time (≥ 240 vs. <120 m/d) was statistically significantly associated with an increased obesity risk (OR [95% CI] = 1.68 [1.03, 2.73]). The direction of associations with television watching (≥ 180 vs. <60 m/d: OR [95% CI] = 2.86 [1.58, 5.20]), computer use (≥ 120 vs. <60 m/d: 1.38 [0.52, 3.64]), and smartphone use (≥ 180 vs. <60 m/d: 1.42 [0.76, 2.65]) were all positive, although the association was most apparent and statistically significant for television watching only. The associations did not change after additional adjustment for other lifestyle factors, including physical activity, sleep, and breakfast skipping. In the isotemporal substitution models, reallocating 1-hour of screen time to reading (OR [95% CI] = 0.67 [0.48, 0.93]) was associated with a decreased obesity risk. Reallocating 1-hour of screen time to physical activity was only marginally significantly associated with obesity risk (0.79 [0.62, 1.01]). CONCLUSIONS: Our data suggest that more efforts should focus on reducing screen time and increasing time for other non-screen time activities, particularly reading, for obesity prevention in children.

Influence of parental nativity and perceived neighborhood environment on physical activity and screen time of United States youth.

OBJECTIVE: This study assessed how parental nativity and perceived environment are associated with physical activity and screen time of U.S. children and adolescents. METHODS: Data originated from the 2020-21 U.S. National Survey of Children's Health. We conducted multivariable Poisson regression to assess the cross-sectional association of parental nativity and perceived neighborhood environment variables on parental reports of youth meeting national physical activity and screen time guidelines. We tested interactions of parental nativity and neighborhood environment variables on both outcomes. Analyses were conducted using STATA v17 and p < 0.05 indicated statistical significance. RESULTS: The sample of 24,928 children and 30,951 adolescents was 11.6 years of age, on average, with approximately 39% under 200% of the federal poverty level. About one-third of the sample (27.5%) had foreign-born parents. In adjusted models, we found that compared to youth with U.S.-born parents, those with foreign-born parents had a lower prevalence of meeting physical activity guidelines. Youth whose parents reported living in safe neighborhoods had a higher prevalence of meeting guidelines for physical activity (children: PR = 1.20, 95%CI 1.14, 1.27; adolescents: PR = 1.23, 95%CI 1.14, 1.32) and screen time (children: PR = 1.19, 95%CI 1.13, 1.26; adolescents: PR = 1.16, 95%CI 1.06, 1.28) than youth whose parents reported unsafe neighborhoods. We found similar associations between neighborhoods considered supportive or with many amenities and meeting physical activity and screen time guidelines. CONCLUSIONS: Youth whose parents are foreign-born have a lower prevalence of sufficient activity, and perceived parental neighborhood safety and support may be significant influences on youth physical activity and screen time.

Telework and 24-hour movement behaviours among adults living in Canada during the COVID-19 pandemic.

OBJECTIVE: To assess the association between work location and movement behaviours (physical activity [PA], screen time, sleep) and adherence to the Canadian 24-Hour Movement Guidelines (24-H Guidelines) among Canadian workers during the COVID-19 pandemic. METHODS: Using cross-sectional data from the 2021 Canadian Community Health Survey (n = 10,913 working adults 18-75 years), primary work location was categorized as: worked outside the home at a fixed location (fixed workplace), worked at home (telework), and worked outside the home at no fixed location (non-fixed workplace). Recreational, transportation and occupational/household PA, as well as leisure screen time and sleep duration were self-reported. Logistic regression assessed associations between work location and adherence to movement behaviour recommendations, adjusting for covariates. RESULTS: Compared to a fixed workplace, those teleworking reported more recreational PA (21.1 vs 17.0 min/day, p < 0.0001) and sleep (7.2 vs 7.1 h/night, p = 0.026) and were more likely to meet sleep duration recommendations (adjusted odds ratio [aOR] = 1.28, 95% CI: 1.08-1.51) and the 24-H Guidelines (aOR = 1.25, 95% CI: 1.04-1.51). Compared to fixed workplaces, those at non-fixed workplaces reported more occupational PA (62.7 vs 32.8 min/day, p < 0.0001) and less leisure screen time (2.5 vs 2.7 h/day, p = 0.021), and were more likely to meet the PA recommendation (aOR = 1.46, 95% CI: 1.15-1.85) and the 24-H Guidelines (aOR = 1.38, 95% CI: 1.09-1.75). CONCLUSIONS: Results suggest that adherence to the 24-H Guidelines varies by work location, and work location should be considered when developing strategies to promote healthy movement behaviours. Future studies could explore hybrid work arrangements, and longitudinal study designs.

Caring for screenagers (Part 1): a pediatrician's primer on popular social media platforms.

PURPOSE OF REVIEW: Since the inception of social media, children have used platforms in manners unbeknownst to their parents. Just when parents feel they may finally understand what platform is relevant or trend is "in," the landscape evolves, and children shift to something new. It is therefore critical that pediatricians stay informed about what is popular in youth populations. This enables the recognition of the potential dangers of contemporary social media engagement. RECENT FINDINGS: Short-form content and livestreaming continue to rise in popularity while certain older forms of social media have retained relevancy in youth circles. YouTube is the dominant social media force, with both livestreaming and short-form offerings. Twitch and TikTok provide alternatives to YouTube for livestreaming and short-form content, respectively. Instagram and Snapchat - two social media apps that have existed for over 10 years - remain as the most popular mechanisms for children to interact with their friends online. SUMMARY: Issues related to body image, attention deficits, cyberbullying, and other potential harms have many parents wary of their child's presence on social media. Social media sites have in-place mechanisms to prevent the likelihood of harm, but pediatricians and parents should still counsel children on best social media practices.

Screen time and pediatric headache: A scoping review of the literature.

OBJECTIVE: The aim of this study was to summarize the evidence regarding screen use as a contributing factor in pediatric headache and migraine. BACKGROUND: Screen exposure is often reported as a headache trigger, though there is no current consensus in terms of how screen type, duration, or frequency influences pediatric headache and the associated burden of disease. METHODS: A systematic search in PubMed, Scopus, Cochrane Library, ProQuest Health and Medical Database, and Google Scholar was performed through November 2022 in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. All English-language articles of pediatric patients aged ≤18 years evaluating screen use in relation to headache were included. RESULTS: A total of 48 studies were included. Nearly all studies were cross-sectional and represented international samples. The strongest association between screen use and headache found was for duration of use, and computer use emerged as the most common device type related to headache. While there were mixed findings related to screen use and specific headache diagnosis, migraine appeared to confer a higher risk. Across studies, there were insufficient data to assess the impact of screen use on headache frequency or headache-related disability. Several studies demonstrated changes in screen use and headache patterns related to the COVID-19 pandemic and computer vision syndrome was commonly reported. CONCLUSIONS: While there is preliminary evidence supporting possible associations between screen use and pediatric headache, there are several limitations in the present review including a lack of prospective and randomized controlled trials to better demonstrate causal relationships as well as methodological limitations with significant variability in how both headache and screen use are defined and measured. Future studies including real-time screen use and device monitoring are needed to better understand the influence of screen use behaviors on pediatric headache and to help further define best-use guidelines around these technologies.

Psychological well-being of children and adolescents with inflammatory bowel disease.

OBJECTIVES: Prior studies on the psychological well-being in pediatric inflammatory bowel disease (PIBD) have reported controversial results. Our aim was to compare the psychological well-being and lifestyle factors in patients with PIBD and their controls and to assess the role of contributing disease characteristics. METHODS: This cross-sectional study included 60 PIBD patients aged 6-17 years (26 with Crohn's disease [CD], 34 with ulcerative colitis [UC] or unclassified colitis [IBD-U]) from two university hospitals in Finland, and their age- and sex-matched healthy controls. Psychological well-being was assessed with three measures: a questionnaire on overall psychological well-being (PSWB) and for adolescents also Beck Depression Inventory (BDI Ia) and Perceived Stress Scale (PSS). In addition to disease characteristics and pain, we assessed physical activity, sleep, screen time, and social well-being. RESULTS: Controls were more likely of stressing more (odds ratio [OR] = 3.67, 95% confidence interval [95% CI] 95% CI = 1.02-13.14), but other measures of psychological well-being did not differ statistically significantly between patients and controls. In CD, a clinically more active disease associated with inferior psychological well-being in adolescents (BDI [ρ = 0.63, p = 0.021], PSS [ρ = 0.70, p = 0.008], PSWB [ρ = 0.56, p = 0.049]). Longer time from diagnosis correlated with better psychological well-being on BDI (ρ = -0.39, p = 0.024) and PSS (ρ = -0.38, p = 0.034). Lifestyle was more sedentary in PIBD (less physical activity in children OR = 0.82, 95% CI = 0.68-0.99 and more screen time in adolescents OR = 1.18, 95% CI = 1.00-1.40). CONCLUSION: Although the clinical features of PIBD are potentially a burden for psychological well-being, many young patients cope well with their disease. Individual variation in well-being is remarkable, making supportive measures challenging.

Screen time, sleep duration, leisure physical activity, obesity, and cardiometabolic risk in children and adolescents: a cross-lagged 2-year study.

BACKGROUND: Considering the previous research that suggested that screen time (ST), sleep duration, physical activity (PA), obesity and cardiometabolic risk factors are related, it is essential to identify how these variables are associated over time, to provide knowledge for the development of intervention strategies to promote health in pediatric populations. Also, there is a lack of studies examining these associations longitudinally. The aims of the present study were: (1) to investigate the longitudinal relationships between ST, sleep duration, leisure PA, body mass index (BMI), and cardiometabolic risk score (cMetS) in children and adolescents; and (2) to verify scores and prevalence of cMetS risk zones at baseline and follow-up. METHODS: This observational longitudinal study included 331 children and adolescents (aged six to 17 years; girls = 57.7%) from schools in a southern city in Brazil. ST, sleep duration, and leisure PA were evaluated by a self-reported questionnaire. BMI was evaluated using the BMI z-scores (Z_BMI). The cMetS was determined by summing sex- and age-specific z-scores of total cholesterol/high-density lipoprotein cholesterol (HDL-C) ratio, triglycerides, glucose, and systolic blood pressure and dividing it by four. A two-wave cross-lagged model was implemented. RESULTS: ST, sleep duration, and leisure PA were not associated with cMetS after 2-years. However, it was observed that higher ST at baseline was associated with shorter sleep duration at follow-up (B=-0.074; 95%IC=-0.130; -0.012), while higher Z_BMI from baseline associated with higher cMetS of follow-up (B = 0.154; 95%CI = 0.083;0.226). The reciprocal model of relationships indicated that the variance of ST, sleep time, leisure PA, Z_BMI, and cMetS explained approximately 9%, 14%, 10%, 67% and 22%, respectively, of the model. Individual change scores and prevalence indicated that cMetS had individual changes from 2014 to 2016. CONCLUSION: Sleep duration, ST and leisure PA were not associated with cMetS after 2 years. ST showed an inverse association with sleep duration, and Z_BMI was positively associated with cMetS after a 2-year follow-up. Finally, the prevalence of no clustering of risk factors increased after two years. These findings suggest the need to promote healthy lifestyle habits from childhood and considering individual factors that can influence cardiometabolic health in children and adolescents.

Prospective association of screen time with binge-eating disorder among adolescents in the United States: The mediating role of depression.

OBJECTIVE: Screen time has been reported to be associated with binge-eating disorder (BED) among adolescents in the US; however, potential mediators remain unclear. This study aimed to evaluate depression symptoms as a mediator of the prospective association between screen time and BED. METHOD: We utilized data from 9465 children (aged 9-11 years at baseline) from the Adolescent Brain Cognitive Development (ABCD) study (2016-2021). A generalized structural equation model was used to examine the prospective association between average daily screen time at baseline and BED at year 2, adjusting for baseline BED diagnosis, and other potential covariates (e.g., age, sex, and income). Mediation was examined using bias-corrected (BC) 95% confidence intervals for the indirect effect of baseline screen time on year 2 BED through depression symptoms (change from baseline to year 1). RESULTS: One hundred and one participants (42.7% male, 49.4% racial/ethnic minority) met the criteria for BED in year 2. Participants were 9.9 years of age on average at baseline, 51.3% identified as male, and 43.1% identified as a racial/ethnic minority. Adjusting for covariates, screen time was prospectively associated with BED (OR = 1.09, 95% CI [1.03, 1.14], p = .005). Depression symptoms (B = .19, BC 95% CI [0.10, 0.28]) partially mediated (9.2%) the prospective association between screen time and BED. DISCUSSION: Among US adolescents, higher baseline screen time was prospectively associated with BED diagnosis at year 2, and this relationship was partially mediated by increased depression symptoms. Preventive approaches targeting high screen use may have utility for reducing BED risk among adolescents. PUBLIC SIGNIFICANCE: Among U.S. adolescents, higher screen time was prospectively associated with the incidence of BED. This association was partially mediated by the change in depressive symptoms. Preventive approaches targeting high screen use may have utility for reducing BED risk among adolescents.

Screen time in the development of cardiovascular diseases: A two-sample Mendelian randomization study.

BACKGROUND AND AIMS: Coronary artery disease (CAD), heart failure (HF), and ischemic heart disease (IHD) are three common cardiovascular diseases that are closely associated with metabolic activity. The global incidence and prevalence of these conditions are on the rise, primarily due to unhealthy lifestyles, aging populations, and the increasing prevalence of obesity and diabetes. Excessive screen time has emerged as a potential risk factor for various adverse health outcomes, although limited research has explored its relationship with cardiovascular disease outcomes. METHODS AND RESULTS: A Mendelian randomization (MR) study was conducted, employing exposure-associated genetic variants as instrumental variables to explore the causal relationship between screen time use and cardiovascular disease outcomes. Single nucleotide polymorphisms (SNPs) were utilized as pooled data for the genetic variable instrument, investigating the association between screen use duration and three types of cardiovascular diseases: coronary artery disease (CAD), heart failure (HF), and ischemic heart disease (IHD). Through the MR analysis, it was revealed that the use of mobile phones and TV screens exhibited a significant causal association with the occurrence of CAD, heart failure, and IHD. However, no significant association was observed between the use of computers and these three types of cardiovascular diseases. CONCLUSION: Our study suggests that excessive screen time use is associated with the development of cardiovascular disease. However, it should be noted that the consequences of screen time can vary depending on the reasons and purposes for its use. Implementing reasonable control over screen time, particularly for entertainment purposes, holds promise as a potential approach to mitigating cardiovascular disease.

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.

Mental health disturbance in preclinical medical students and its association with screen time, sleep quality, and depression during the COVID-19 pandemic.

BACKGROUND: Affected by various hurdles during COVID-19, preclinical medical students are at an elevated risk for mental health disturbances. However, the effects of modern mental health problems on preclinical medical students have not been adequately researched. Thus, this study was aimed to identify the proportions and implications of current mental health problems for depression, sleep quality and screen time among Indonesian medical preclinical students during the COVID-19 pandemic. METHODS: This cross-sectional study was conducted using crowdsourcing between October 2020 and June 2021. During the study period, 1,335 subjects were recruited, and 1,023 datasets were identified as valid. General Health Questionnaire-12 (GHQ-12) was used to measure current mental health disturbances (categorized as without current mental health disturbances, psychological distress, social dysfunction, or both). The Patient Health Questionnaire-9 (PHQ-9) was used to assess depression, the Pittsburgh Sleep Quality Index (PSQI) was employed to assess sleep quality, and a questionnaire devised for this study was used to assess screen time length per day. Multivariate data analysis was conducted using SPSS version 24 for Mac. RESULTS: According to the findings, 49.1% of the 1,023 participants had current mental health disturbances: 12.8% had psychological distress, 15.9% had social dysfunction, and the rest (20.4%) had both psychological distress and social dysfunction. The statistical analysis provided strong evidence of a difference (p < 0.001) between the medians of depression and sleep quality with at least one pair of current mental health disturbance groups, but the difference for screen time was not significant (p = 0.151). Dunn's post-hoc analysis showed that groups without current mental health problems had significantly lower mean ranks of depression and sleep quality compared to groups that had current mental health problems (p < 0.001). CONCLUSION: Current mental health disturbances during the COVID-19 pandemic were significantly associated with preclinical medical students' depression and sleep quality in preclinical medical students. Thus, mental health programs for this specific population should be tailored to integrate mindfulness therapy, support groups, stress management, and skills training to promote mental wellbeing.

Meeting the 24-h movement recommendations and its relationship with Mediterranean dietary patterns in early childhood: the SENDO project.

The aim of this study was twofold: (1) to assess the association between meeting all three 24-h movement recommendations and adherence to the Mediterranean diet (MedDiet) in early childhood and (2) to examine whether participants who meet all three 24-h movement recommendations have greater adherence to the individual MedDiet foods/components than those who do not meet these recommendations. A cross-sectional study was conducted using a sample of 822 participants from the Seguimiento del Niño para un Desarrollo Óptimo (SENDO) project (Pamplona, Spain). Physical activity was assessed through a questionnaire that covered 17 different types of activities. Screen time was assessed by averaging the daily hours spent on activities such as watching TV, using a computer, or playing video games. Sleep duration was determined by taking the average of sleep durations during both weekdays and weekends. Adherence to the MedDiet was evaluated using the Mediterranean Diet Quality Index in children and adolescents (KIDMED). Greater odds of having an optimal adherence to the MedDiet were found for participants meeting all three 24-h movement recommendations (odds ratio (OR) = 1.96, 95% confidence interval (CI) 1.33-2.87, p = 0.001) in comparison with their counterparts not meeting these recommendations. Specifically, significant differences were found for "fruit or fruit juice every day" (p = 0.012), "second fruit every day" (p = 0.001), and "fresh or cooked vegetables regularly once a day" (p = 0.018) in relation to meeting all three 24-h movement recommendation status.    Conclusions: This study provides further evidence of the potential importance of meeting all three 24-h movement recommendations to adopt a healthier eating pattern. What is Known: • Only a limited number of studies have investigated the joint connection between the 24-h movement recommendations and dietary habits. • Integrating the 24-h movement recommendations with dietary recommendations could potentially yield greater effectiveness compared to promoting these recommendations independently within public health strategies. What is New: • This is the first study in assessing the relationship between 24-h movement recommendations and adherence to the Mediterranean diet in early childhood. • These findings provide further evidence of the potential importance of meeting all three 24-h movement recommendations to adopt a healthier eating pattern.

Change in clusters of lifestyle behaviours from childhood to adolescence: a longitudinal analysis.

This study aimed to identify changes in clusters of lifestyle behaviours (physical activity, screen time and diet) between the ages of 7 and 14 years, and to examine socio-demographic determinants of changes. Longitudinal analyses were performed on a sample of 9339 children from the UK Millennium Cohort Study (MCS) who had complete data on behaviours of interest at age 7 (wave 4) and 14 years (wave 6). Joint Correspondence Analysis (JCA) and k-means cluster analysis were used to identify clusters of lifestyle behaviours at both time waves. Multinomial logistic regressions were used to examine the associations between socio-economic variables and changes in cluster membership. Analyses were conducted separately for boys and girls. Clusters of behaviours at age 7 and 14 years were identified as healthy, mixed or unhealthy respectively. Compared to girls, a higher proportion of boys remained in the healthier cluster over time (19.1% vs. 13.1%) or became healthier (26.4% vs. 9.36%). A higher proportion of girls changed to an unhealthier cluster (57.2% vs. 33.9%). Indicators of lower socio-economic status, such as low family income, low parental education, and not living with both parents at age 7 were associated with unhealthier changes in cluster membership. Conclusion Lifestyle behaviours cluster in children and are susceptible to change over a 7-year period, with a high proportion of boys becoming healthier and a higher proportion of girls became unhealthier. Indicators of socio-economic status appear to be important in determining changes in clusters. What is Known: • Poor lifestyle behaviours (i.e. unhealthy dietary habits, low physical activity, and sedentary behaviours) tend to cluster in children and adolescents. What is New: • Lifestyle behaviours cluster in children and are susceptible to changes between childhood and adolescence. Changes occur differently in boys and girls. Indicators of low socio-economic status are associated with unhealthier changes in behavioural clusters.