School-based interventions to prevent overweight and obesity in prepubertal children: process and 4-years outcome evaluation of the Kiel Obesity Prevention Study (KOPS)

2007 ◽  
Vol 96 ◽  
pp. 19-25 ◽  
Author(s):  
Sandra Danielzik ◽  
Svenja Pust ◽  
Manfred J. Müller
Keyword(s):  
Obesity Prevention ◽  
Outcome Evaluation ◽  
Overweight And Obesity ◽  
Prevention Study ◽  
Prepubertal Children ◽  
School Based ◽  
School Based Interventions

School-based interventions for the treatment of childhood obesity: a systematic review, meta-analysis and meta-regression of cluster randomised controlled trials

2021 ◽  
pp. 1-28
Author(s):  
Tarcisus Ho ◽  
Ling Jie Cheng ◽  
Ying Lau
Keyword(s):  
Childhood Obesity ◽  
Children And Adolescents ◽  
Meta Analysis ◽  
Overweight And Obesity ◽  
Risk Of Bias ◽  
Medium Effect ◽  
School Based ◽  
Cluster Randomised ◽  
School Based Interventions ◽  
Meta Regression

Abstract Objective Schools offer an ideal setting for childhood obesity interventions due to their access to children and adolescents. This review aimed to systematically review the impact of school-based intervention for the treatment of childhood obesity. Design Eight databases were searched from inception till May 30, 2020. A revised Cochrane risk-of-bias tool and the Grading of Recommendations, Assessment, Development and Evaluations criteria were used to evaluate the risk of bias and overall evidence. Meta-analysis and meta-regression were performed on Stata software using the random-effects model. Overall effect was evaluated using Hedges’ g, and heterogeneity was assessed using Cochran’s Q and I2. Setting Cluster randomised trials (cluster-RCTs) delivered in school. Participants Children and adolescents (6-18 years of age) with overweight and obesity. Results Twelve cluster-RCTs from seven countries with 1,755 participants were included in the meta-analysis. School-based interventions for the treatment of childhood obesity reduced body mass index (BMI) and BMI z-scores with a medium effect (g=0·52). Subgroup analyses showed the greater effectiveness of brief school-based interventions and the interventions conducted in lower-middle to upper-middle economies. Meta-regression assessed the heterogeneity and the final model, with covariates of the type of economies and trial duration, accounted for 41.2% of the variability. The overall quality of evidence was rated low because of the high risk of bias and inconsistency. Conclusions School-based interventions is a possible approach to provide universal healthcare for the treatment of childhood obesity, and further well-designed cluster-RCTs with longer follow-up are needed. This study is registered with PROSPERO (CRD42020160735).

scholarly journals Eight-Year Follow-Up of School-Based Intervention on Childhood Overweight – the Kiel Obesity Prevention Study

Obesity Facts ◽  
2011 ◽  
Vol 4 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Sandra Plachta-Danielzik ◽  
Beate Landsberg ◽  
Dominique Lange ◽  
Jasmin Seiberl ◽  
Manfred J. Müller
Keyword(s):  
Obesity Prevention ◽  
Childhood Overweight ◽  
Prevention Study ◽  
School Based Intervention ◽  
School Based

scholarly journals A systematic review and meta-analysis of the overall effects of school-based obesity prevention interventions and effect differences by intervention components

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Zheng Liu ◽  
Han-Meng Xu ◽  
Li-Ming Wen ◽  
Yuan-Zhou Peng ◽  
Li-Zi Lin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Childhood Obesity ◽  
Obesity Prevention ◽  
Single Component ◽  
Z Score ◽  
Physical Activity Interventions ◽  
School Based ◽  
Prevention Interventions ◽  
School Based Interventions

Abstract Background Childhood obesity is a serious public health concern. School-based interventions hold great promise to combat the rising trend of childhood obesity. This systematic review aimed to assess the overall effects of school-based obesity prevention interventions, and to investigate characteristics of intervention components that are potentially effective for preventing childhood obesity. Methods We systematically searched MEDLINE, CENTRAL and Embase databases to identify randomized- or cluster randomized- controlled trials of school-based obesity interventions published between 1990 and 2019. We conducted meta-analyses and subgroup analyses to determine the overall effects of obesity prevention programs and effect differences by various characteristics of intervention components on body mass index (BMI) or BMI Z-score of children. Results This systematic review included a total of 50 trials (reported by 56 publications). Significant differences were found between groups on BMI (− 0.14 kg/m2 (95% confidence interval: − 0.21, − 0.06)) and BMI Z-score (− 0.05 (− 0.10, − 0.01)) for single-component interventions; significant differences were also found between groups on BMI (− 0.32 (− 0.54, − 0.09) kg/m2) and BMI Z-score (− 0.07 (− 0.14, − 0.001)) for multi-component interventions. Subgroup analyses consistently demonstrated that effects of single-component (physical activity) interventions including curricular sessions (− 0.30 (− 0.51, − 0.10) kg/m2 in BMI) were stronger than those without curricular sessions (− 0.04 (− 0.17, 0.09) kg/m2 in BMI); effects of single-component (physical activity) interventions were also strengthened if physical activity sessions emphasized participants’ enjoyment (− 0.19 (− 0.33, − 0.05) kg/m2 in BMI for those emphasizing participants’ enjoyment; − 0.004 (− 0.10, 0.09) kg/m2 in BMI for those not emphasizing participants’ enjoyment). The current body of evidence did not find specific characteristics of intervention components that were consistently associated with improved efficacy for multi-component interventions (P > 0.05). Conclusions School-based interventions are generally effective in reducing excessive weight gain of children. Our findings contribute to increased understandings of potentially effective intervention characteristics for single-component (physical activity) interventions. The impact of combined components on effectiveness of multi-component interventions should be the topic of further research. More high-quality studies are also needed to confirm findings of this review.

Evaluation of the Living 4 Life project: a youth-led, school-based obesity prevention study

2011 ◽  
Vol 12 ◽  
pp. 51-60 ◽  
Author(s):  
J. Utter ◽  
R. Scragg ◽  
E. Robinson ◽  
J. Warbrick ◽  
G. Faeamani ◽  
...  
Keyword(s):  
Obesity Prevention ◽  
Prevention Study ◽  
Life Project ◽  
School Based

scholarly journals Clustering of lifestyle factors and association with overweight in adolescents of the Kiel Obesity Prevention Study

2010 ◽  
Vol 13 (10A) ◽  
pp. 1708-1715 ◽  
Author(s):  
Beate Landsberg ◽  
Sandra Plachta-Danielzik ◽  
Dominique Lange ◽  
Maike Johannsen ◽  
Jasmin Seiberl ◽  
...  
Keyword(s):  
Longitudinal Data ◽  
Obesity Prevention ◽  
Risk Behaviour ◽  
Overweight And Obesity ◽  
Prevention Study ◽  
Cross Sectional ◽  
High Risk Behaviour ◽  
Obesity Indices ◽  
Reported Data ◽  
Cluster 2

AbstractObjectiveTo identify lifestyle clusters in adolescents and to characterize their association with overweight and obesity.DesignCross-sectional and longitudinal data of the Kiel Obesity Prevention Study.SettingSchools in Kiel, Germany.Subjects and methodsCross-sectional data of 1894 adolescents aged 14 years and 4-year longitudinal data of a subsample of 389 children aged 10 and 14 years. Self-reported data of physical activity, modes of commuting to school, media time, nutrition, alcohol consumption and smoking were used to identify lifestyle clusters with two-step cluster analysis. Obesity indices (height, weight, waist circumference and fat mass (FM)) were measured.ResultsThree lifestyle clusters were identified: a ‘low activity and low-risk behaviour’ cluster (cluster 1: n 740, 39·1 %); a ‘high media time and high-risk behaviour’ cluster (cluster 2: n 498, 26·3 %); and a ‘high activity and medium-risk behaviour’ cluster (cluster 3: n 656, 34·6 %). Strictly speaking, none of these clusters was considered to be markedly healthy. The prevalence of overweight and obesity tended to be lower in cluster 3 (15·9 %) than in clusters 1 (20·4 %) and 2 (20·5 %; P = 0·053). Longitudinally, 4-year changes in FM were found to be lowest in cluster 2, but the 4-year incidence rate of obesity was lowest in cluster 3.ConclusionsExplicit healthy lifestyles do not exist, but an active lifestyle reduces the incidence of obesity. In adolescents, health promotion should take into account the diversity of lifestyles and address specific lifestyle clusters.

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