Effects of a prevention intervention concerning screens, and video games in middle-school students: Influences on beliefs and use

Interventions to prevent obesity in children aged 12 to 18 years old

BACKGROUND

Prevention of obesity in adolescents is an international public health priority. The prevalence of overweight and obesity is over 25% in North and South America, Australia, most of Europe, and the Gulf region. Interventions that aim to prevent obesity involve strategies that promote healthy diets or 'activity' levels (physical activity, sedentary behaviour and/or sleep) or both, and work by reducing energy intake and/or increasing energy expenditure, respectively. There is uncertainty over which approaches are more effective, and numerous new studies have been published over the last five years since the previous version of this Cochrane Review.

OBJECTIVES

To assess the effects of interventions that aim to prevent obesity in adolescents by modifying dietary intake or 'activity' levels, or a combination of both, on changes in BMI, zBMI score and serious adverse events.

SEARCH METHODS

We used standard, extensive Cochrane search methods. The latest search date was February 2023.

SELECTION CRITERIA

Randomised controlled trials in adolescents (mean age 12 years and above but less than 19 years), comparing diet or 'activity' interventions (or both) to prevent obesity with no intervention, usual care, or with another eligible intervention, in any setting. Studies had to measure outcomes at a minimum of 12 weeks post baseline. We excluded interventions designed primarily to improve sporting performance.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our outcomes were BMI, zBMI score and serious adverse events, assessed at short- (12 weeks to < 9 months from baseline), medium- (9 months to < 15 months) and long-term (≥ 15 months) follow-up. We used GRADE to assess the certainty of the evidence for each outcome.

MAIN RESULTS

This review includes 74 studies (83,407 participants); 54 studies (46,358 participants) were included in meta-analyses. Sixty studies were based in high-income countries. The main setting for intervention delivery was schools (57 studies), followed by home (nine studies), the community (five studies) and a primary care setting (three studies). Fifty-one interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over 28 months. Sixty-two studies declared non-industry funding; five were funded in part by industry. Dietary interventions versus control The evidence is very uncertain about the effects of dietary interventions on body mass index (BMI) at short-term follow-up (mean difference (MD) -0.18, 95% confidence interval (CI) -0.41 to 0.06; 3 studies, 605 participants), medium-term follow-up (MD -0.65, 95% CI -1.18 to -0.11; 3 studies, 900 participants), and standardised BMI (zBMI) at long-term follow-up (MD -0.14, 95% CI -0.38 to 0.10; 2 studies, 1089 participants); all very low-certainty evidence. Compared with control, dietary interventions may have little to no effect on BMI at long-term follow-up (MD -0.30, 95% CI -1.67 to 1.07; 1 study, 44 participants); zBMI at short-term (MD -0.06, 95% CI -0.12 to 0.01; 5 studies, 3154 participants); and zBMI at medium-term (MD 0.02, 95% CI -0.17 to 0.21; 1 study, 112 participants) follow-up; all low-certainty evidence. Dietary interventions may have little to no effect on serious adverse events (two studies, 377 participants; low-certainty evidence). Activity interventions versus control Compared with control, activity interventions do not reduce BMI at short-term follow-up (MD -0.64, 95% CI -1.86 to 0.58; 6 studies, 1780 participants; low-certainty evidence) and probably do not reduce zBMI at medium- (MD 0, 95% CI -0.04 to 0.05; 6 studies, 5335 participants) or long-term (MD -0.05, 95% CI -0.12 to 0.02; 1 study, 985 participants) follow-up; both moderate-certainty evidence. Activity interventions do not reduce zBMI at short-term follow-up (MD 0.02, 95% CI -0.01 to 0.05; 7 studies, 4718 participants; high-certainty evidence), but may reduce BMI slightly at medium-term (MD -0.32, 95% CI -0.53 to -0.11; 3 studies, 2143 participants) and long-term (MD -0.28, 95% CI -0.51 to -0.05; 1 study, 985 participants) follow-up; both low-certainty evidence. Seven studies (5428 participants; low-certainty evidence) reported data on serious adverse events: two reported injuries relating to the exercise component of the intervention and five reported no effect of intervention on reported serious adverse events. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, do not reduce BMI at short-term follow-up (MD 0.03, 95% CI -0.07 to 0.13; 11 studies, 3429 participants; high-certainty evidence), and probably do not reduce BMI at medium-term (MD 0.01, 95% CI -0.09 to 0.11; 8 studies, 5612 participants; moderate-certainty evidence) or long-term (MD 0.06, 95% CI -0.04 to 0.16; 6 studies, 8736 participants; moderate-certainty evidence) follow-up. They may have little to no effect on zBMI in the short term, but the evidence is very uncertain (MD -0.09, 95% CI -0.2 to 0.02; 3 studies, 515 participants; very low-certainty evidence), and they may not reduce zBMI at medium-term (MD -0.05, 95% CI -0.1 to 0.01; 6 studies, 3511 participants; low-certainty evidence) or long-term (MD -0.02, 95% CI -0.05 to 0.01; 7 studies, 8430 participants; low-certainty evidence) follow-up. Four studies (2394 participants) reported data on serious adverse events (very low-certainty evidence): one reported an increase in weight concern in a few adolescents and three reported no effect.

AUTHORS' CONCLUSIONS

The evidence demonstrates that dietary interventions may have little to no effect on obesity in adolescents. There is low-certainty evidence that activity interventions may have a small beneficial effect on BMI at medium- and long-term follow-up. Diet plus activity interventions may result in little to no difference. Importantly, this updated review also suggests that interventions to prevent obesity in this age group may result in little to no difference in serious adverse effects. Limitations of the evidence include inconsistent results across studies, lack of methodological rigour in some studies and small sample sizes. Further research is justified to investigate the effects of diet and activity interventions to prevent childhood obesity in community settings, and in young people with disabilities, since very few ongoing studies are likely to address these. Further randomised trials to address the remaining uncertainty about the effects of diet, activity interventions, or both, to prevent childhood obesity in schools (ideally with zBMI as the measured outcome) would need to have larger samples.

Treatment effects of therapeutic interventions for gaming disorder: A systematic review and meta-analysis

The prevalence of gaming disorder is assumed to be between 2%-5%. The treatment effect of different therapeutic interventions of gaming disorder has not been studied extensively. This systematic review and meta-analysis sought to identify all intervention studies on gaming disorder with a control group, determine the effect of the interventions, and examine moderators. Studies applying a therapeutic intervention and using an appropriate comparison group were identified by searching electronic databases, previous reviews, and reference lists. Data on type of treatment, name of outcome measurement, symptom level and other study characteristics were extracted and analyzed using meta-analysis and meta-regression. A total of 38 studies and 76 effect sizes, originating from 9524 participants were included. RoB2 and ROBINS-I risk of bias tools were used to assess within-study risk of bias. Correlational hierarchical models with robust variance estimation were fitted to effect size data and yielded a moderate summary estimate. Egger's sandwich test, funnel plot inspections, and other tests were conducted to assess risk of bias between studies. Results indicate that there may be an overall effect of therapeutic interventions for gaming disorder, but confidence in these findings is compromised by small-study effects, possible publication bias, a limited study pool, and a lack of standardization. The field needs more higher quality studies before the evidence-base can support reliable meta-analytic estimates.

Cognitive Patterns and Problematic Use of Video Games in Adolescents: A Cluster Analysis

BACKGROUND

Video game playing (VGP) is an increasingly common leisure activity among children and adolescents, although in some cases, it is accompanied by problems due to misuse.

METHOD

A sample of 2884 children and adolescents aged between 12 and 20, representative of the Community of Madrid (Spain), were studied using a cluster analysis to explore the existence of cognitive patterns associated with engagement, attitudes, and concurrent cognitions. We also explored the relationship between these patterns and problematic VGP, using the 2173 gamers as a reference.

RESULTS

The concurrent cognitions were not qualitatively different between the problematic users and the others. High engagement and high activation of concurrent cognitions (intensity and frequency) showed the greatest relationship with problematic VGP.

CONCLUSIONS

The results suggest the existence of different groups of gamers and the relevance to include psycho-educational aspects in intervention programs, as well as the training of specific skills, especially those related with the control of activation. Limitations related to the sample size and potential supplementary analyses are acknowledged.

Relationship of Gaming Disorder with parenting based on low affection-communication and personality trait of neuroticism in adolescents

Background

Gaming Disorder is increasingly common in adolescents. We aimed to evaluate the relationship between parenting, personality traits, and Gaming Disorder.

Methods

An observational and cross-sectional study in six secondary schools of Castelló, obtaining a final sample of 397 students.

Results

Adolescents with Gaming Disorder had lower scores in Adolescent Affection-Communication (F = 8.201; p < 0.001), Father's Warmth (F = 3.459; p = 0.028), and Father's Acceptance/Involvement (F = 5.467; p = 0.003), and higher scores in Mother's Revoking Privileges (F = 4.277; p = 0.034) and Father's Indifference (F = 7.868; p = 0.002) than healthy participants. Male sex was a risk factor for Gaming Disorder (OR = 12.221; p = 0.004), while Adolescent Affection-Communication (OR = 0.908; p = 0.001) and Agreeableness (OR = 0.903; p = 0.022) were protective factors. Data modeling described the protective effect that Adolescent Affection-Communication had on Gaming Disorder, which was both directly (B = -0.20; p < 0.001) and indirectly mediated by Neuroticism (B = -0.20; p < 0.001), while Neuroticism itself was a risk factor for Gaming Disorder (B = 0.50; p < 0.001).

Conclusion

These results reflect that Parental style with low affection and communication was directly and indirectly related to the Gaming Disorder, as well as male sex and personality trait of Neuroticism.

Current Status of Internet Gaming Disorder (IGD) in Japan: New Lifestyle-Related Disease in Children and Adolescents

The World Health Organization recognizes internet gaming disorder (IGD) as a disorder that causes problems in daily life as a result of excessive interest in online games. The causes of IGD have become more apparent in recent years. Because of prolonged exposure to games, the mechanisms controlling the reward system, such as the prefrontal cortex, limbic system, and amygdala of the cerebrum, do not function properly in IGD. This mechanism is similar to that of various behavioral addictions, such as gambling addiction. IGD is particularly risky in children and adolescents because it easily causes brain dysfunction, especially in the developing brain. IGD should be regarded as a new lifestyle-related disease in younger individuals, and lifestyle modifications, including counseling and family therapy, are critical for its management.

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

BACKGROUND

In 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.

METHODS

A 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.

RESULTS

Four 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.

CONCLUSIONS

These 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.

Prävention der exzessiven Mediennutzung im Kindes- und Jugendalter

Hintergrund

Für Kinder und Jugendliche ist die Nutzung digitaler Medien ein zentraler Bestandteil der Freizeitgestaltung. Bei etwa 8 % der 12- bis 17-Jährigen ist von einer computerspiel- oder internetbezogenen Störung auszugehen.

Ziel der Arbeit

Ziel war die Überprüfung der Wirksamkeit eines schulbasierten „Peer-to-peer“-Programms zur Prävention der exzessiven Mediennutzung im Kindes- und Jugendalter („Net-Piloten“). Das primärpräventive Programm wird Schulen mit Sekundarstufe I von der Bundeszentrale für gesundheitliche Aufklärung (BZgA) in Zusammenarbeit mit den Landesstellen für Suchtfragen kostenfrei zugänglich gemacht.

Material und Methode

Die Wirksamkeit von „Net-Piloten“ wurde in einer kontrollierten Studie (1:1-Matching) überprüft. Die Datenerhebung erfolgte über einen Online-Fragebogen im 1. Schulhalbjahr 2019/2020, an der insgesamt 834 Kinder und Jugendliche teilnahmen (mittleres Alter: 12 Jahre). Die Interventionsgruppe nahm an einem von Peers durchgeführten Workshop zur Sensibilisierung für die Risiken von exzessiver Mediennutzung und zur Förderung der Selbstreflexion teil.

Ergebnisse

Schüler*innen der Interventionsbedingung verfügten über ein höheres Wissen über negative Konsequenzen exzessiver Mediennutzung und wiesen geringere Nutzungszeiten (Computerspieldauer F (1,832) = 6,45, p = 0,011) auf als die Vergleichsgruppe. Der Anteil an Schüler*innen mit problematischer Mediennutzung war nach „Net-Piloten“-Teilnahme geringer im Vergleich zur Kontrolle (F (1,832) = 14,76, p < 0,001).

Diskussion

Die Befunde stehen im Einklang mit früheren Studien zur Effektivität von schulbasierten Programmen zur Vermeidung der problematischen Mediennutzung. Sie deuten darauf hin, dass schulbasierte Programme einer exzessiv-dysfunktionalen Mediennutzung vorbeugen können.