Evidence mapPaperPMID 38763518Full record

SynthesisThe Cochrane database of systematic reviews2024

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

Francesca Spiga, Eve Tomlinson, Annabel L Davies, Theresa Hm Moore, Sarah Dawson, Katie Breheny, Jelena Savović, Rebecca K Hodder, Luke Wolfenden, Julian Pt Higgins and 1 more

2 registry-linked trialsAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 33 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 10 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06577142 nacompletednot on this map

Comparison of 'Burn 2 Learn' and Routine Physical Activity Program on Wellbeing, Cardiorespiratory and Muscular Fitness Among Students

TypeinterventionalSponsorRiphah International UniversityRan2024 to 2024Enrolled102ConditionsSports Physical TherapyArmsBurn 2 Learn, Control Group
NCT07438756 nacompletednot on this map

Effect of Tabata vs Burn 2 Learn Program on Body Weight, Physical Performance and Mental Well Being in School Athletes.

TypeinterventionalSponsorRiphah International UniversityRan2023 to 2024Enrolled50ConditionsSports Physical TherapyArmsDigital Scale for body weight, Body mass index
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  4. Interventions to prevent obesity in children aged 2 to 4 years old.The Cochrane database of systematic reviews · 2025
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  7. Interventions for the prevention of weight gain during festive and holiday periods in children and adults: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
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  9. Interventions to prevent obesity in children aged 12 to 18 years old.The Cochrane database of systematic reviews · 2024
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  10. Interventions to prevent obesity in children aged 5 to 11 years old.The Cochrane database of systematic reviews · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Francesca SpigaPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Eve TomlinsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Annabel L DaviesPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Theresa Hm MoorePopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Sarah DawsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Katie BrehenyPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Jelena SavovićPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Rebecca K HodderHunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia.
Luke WolfendenHunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia.
Julian Pt HigginsPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Carolyn D SummerbellDepartment of Sport and Exercise Science, Durham University, Durham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevention 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.

objectivesTo 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

methodsWe 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

resultsThis 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'

conclusionsThe 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.

Indexed as

Body Mass IndexExercisePediatric ObesityRandomized Controlled Trials as TopicAdolescentBiasChildDiet, HealthyEnergy IntakeFemaleHumansMaleResearch Support as TopicSedentary BehaviorSleep

Identifiers

PMID38763518
PMCPMC11102824

What Socratic holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.