The influence of electronic screens on the health of children and adolescents and their education is not well understood. In this prospectively registered umbrella review (PROSPERO identifier CRD42017076051), we harmonized effects from 102 meta-analyses (2,451 primary studies; 1,937,501 participants) of screen time and outcomes. In total, 43 effects from 32 meta-analyses met our criteria for statistical certainty. Meta-analyses of associations between screen use and outcomes showed small-to-moderate effects (range: r = –0.14 to 0.33). In education, results were mixed; for example, screen use was negatively associated with literacy (r = –0.14, 95% confidence interval (CI) = –0.20 to –0.09, P ≤ 0.001, k = 38, N = 18,318), but this effect was positive when parents watched with their children (r = 0.15, 95% CI = 0.02 to 0.28, P = 0.028, k = 12, N = 6,083). In health, we found evidence for several small negative associations; for example, social media was associated with depression (r = 0.12, 95% CI = 0.05 to 0.19, P ≤ 0.001, k = 12, N = 93,740). Limitations of our review include the limited number of studies for each outcome, medium-to-high risk of bias in 95 out of 102 included meta-analyses and high heterogeneity (17 out of 22 in education and 20 out of 21 in health with I2 > 50%). We recommend that caregivers and policymakers carefully weigh the evidence for potential harms and benefits of specific types of screen use.
Cardiorespiratory fitness is an important marker of childhood health and low fitness levels are a risk factor for disease later in life. Levels of children's fitness have declined in recent decades. Whether school-based physical activity interventions can increase fitness at the population level remains unclear.
Objective
To evaluate the effect of an internet-based intervention on children's cardiorespiratory fitness across a large number of schools.
Design, Setting, and Participants
In this cluster randomized clinical trial, 22 government-funded elementary schools (from 137 providing consent) including 1188 students stratified from grades 3 and 4 in New South Wales, Australia, were randomized. The other schools received the intervention but were not included in the analysis. Eleven schools received the internet-based intervention and 11 received the control intervention. Recruitment and baseline testing began in 2016 and ended in 2017. Research assistants, blinded to treatment allocation, completed follow-up outcome assessments at 12 and 24 months. Data were analyzed from July to August 2020.
Interventions
The internet-based intervention included standardized online learning for teachers and minimal in-person support from a project mentor (9-10 months).
Main Outcomes and Measures
Multistage 20-m shuttle run test for cardiorespiratory fitness.
Results
Of 1219 participants (49% girls; mean [SD] age, 8.85 [0.71] years) from 22 schools, 1188 students provided baseline primary outcome data. At 12 months, the number of 20-m shuttle runs increased by 3.32 laps (95% CI, 2.44-4.20 laps) in the intervention schools and 2.11 laps (95% CI, 1.38-2.85 laps) in the control schools (adjusted difference = 1.20 laps; 95% CI, 0.17-2.24 laps). By 24 months, the adjusted difference was 2.22 laps (95% CI, 0.89-3.55 laps). The cost per student was AUD33 (USD26).
Conclusions and Relevance
In this study, a school-based intervention improved children's cardiorespiratory fitness when delivered in a large number of schools. The low cost and sustained effect over 24 months of the intervention suggests that it may have potential to be scaled at the population level.
Individuals’ subjective well-being (SWB) is an important marker of development and social progress. As psychological health issues often begin during adolescence, understanding the factors that enhance SWB among adolescents is critical to devising preventive interventions. However, little is known about how institutional contexts contribute to adolescent SWB. Using Programme for International Student Assessment (PISA) 2015 and 2018 data from 78 countries ( N = 941,475), we find that gender gaps in adolescents’ SWB (life satisfaction, positive and negative affect) are larger in more gender-equal countries. Results paradoxically indicated that gender equality enhances boys’ but not girls’ SWB, suggesting that greater gender equality may facilitate social comparisons across genders. This may lead to an increased awareness of discrimination against females and consequently lower girls’ SWB, diluting the overall benefits of gender equality. These findings underscore the need for researchers and policy-makers to better understand macro-level factors, beyond objective gender equality, that support girls’ SWB.
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School‐based physical education (PE) provides opportunities to accumulate moderate‐to‐vigorous physical activity (MVPA), but many students are insufficiently active during PE lessons. Providing teachers with feedback regarding their students’ physical activity may increase the effectiveness of PE for achieving MVPA goals, but existing physical activity monitoring technologies have limitations in class environments. Therefore, the purpose of this study was to develop and validate a system capable of providing feedback on PE lesson MVPA. Equations for translating step counts to %MVPA were derived from measures in 492 students who concurrently wore an ActiGraph GT3X+ (ActiGraph) and Yamax pedometer (Yamax) during a PE lesson. To enhance feedback availability during PE lessons, we then developed a bespoke monitoring system using wireless tri‐axial pedometers (HMM) and a smart device app. After developing and testing the monitoring system, we assessed its validity and reliability in 100 students during a PE lesson. There was a strong correlation of 0.896 between step counts and accelerometer‐determined %MVPA and quantile regression equations showed good validity for translating step counts to %MVPA with a mean absolute difference of 5.3 (95% CI, 4.4‐6.2). The physical activity monitoring system was effective at providing %MVPA during PE lessons with a mean difference of 1.6 ± 7.1 compared with accelerometer‐determined %MVPA (7% difference between the two measurement methods). Teachers and students can use a smart device app and wireless pedometers to conveniently obtain feedback during PE lessons. Future studies should determine whether such technologies help teachers to increase physical activity during PE lessons.
Background : Youth from lower socioeconomic positions tend to have poorer socioemotional outcomes, be less physically active, have poorer sleep, and engage in more screen time than their peers from higher socioeconomic positions. The objective of this study was to test the hypothesis that movement behaviors (ie, physical activity, sedentary behavior, and sleep) and changes in combinations of movement behaviors over time (movement trajectories) mediate the relationship between socioeconomic position and socioemotional outcomes in youth. Methods : This study used socioeconomic position data, scores from Strengths and Difficulties Questionnaires, and time-use diaries from 980 females and 1014 males (2% Australian Indigenous) aged 10–14 from the Longitudinal Study of Australian Children from 2014 to 2018. Results : Movement trajectories did not mediate the relationship between socioeconomic position and socioemotional outcomes. Least absolute shrinkage and selection operator-based mediation analyses found males from lower socioeconomic positions participated in less moderate- to vigorous-intensity physical activity than their peers from high socioeconomic positions, partially explaining (7%) more peer problems. Youth from lower socioeconomic positions participated in more recreational screen activities than their peers from higher socioeconomic positions, partially explaining (1%–3%) worse total socioemotional outcomes and conduct (females) and emotional problems (males). Conclusions : Future qualitative research should be considered to identify the best ways for youth from lower socioeconomic positions to decrease screen time and increase opportunities to participate in moderate- to vigorous-intensity physical activity in the community, at school, and at home. Other mediators explaining differences in socioemotional outcomes should be explored.
Student sense of belonging is a current challenge to higher education providers, with consistently declining ratings in national surveys. For universities globally, this is a concern linked to student attrition, student satisfaction, and student success. Importantly, low sense of belonging is typically associated with non-traditional learners, and building strategies to solve this challenge is essential for institutions to build equitable learning environments. This study seeks to understand the causal factors that predict when a student will belong using longitudinal data. Using the Australian national student experience survey data (n = 1,159,768 undergraduate and postgraduate students between 2013 and 2019), this study examines the predictors of a sense of belonging testing the accuracy of four machine learning models. The findings indicate overall educational experience, connection to students outside of class, and support to settle were key predictors, with skill development and curriculum supports a lesser predictor of a sense of belonging. Interestingly, identity and individual differences ratings seemed to have less importance than student experience factors. Implications for higher education policy developers and curriculum writers are considered.
Universities around the world are incorporating online learning, often relying upon videos (asynchronous multimedia). We systematically reviewed the effects of video on learning in higher education. We searched five databases using 27 keywords to find randomised trials that measured the learning effects of video among college students. We conducted full-text screening, data-extraction, and risk of bias in duplicate. We calculated pooled effect-sizes using multi-level random-effects meta-analysis. Searches retrieved 9,677 unique records. After screening 329 full-texts, 105 met inclusion criteria, with a pooled sample of 7,776 students. Swapping video for existing teaching methods led to small improvements in student learning (g = 0.28). Adding video to existing teaching led to strong learning benefits (g = 0.80). Although results may be subject to some experimental and publication biases, they suggest that videos are unlikely to be detrimental and usually improve student learning.
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