Effects of a School‐Based Pedometer Intervention in Adolescents: 1‐Year Follow‐Up of a Cluster‐Randomized Controlled Trial

Isensee, Barbara; Suchert, Vivien; Hansen, Júlia; Weisser, Burkhard; Hanewinkel, Reiner

doi:10.1111/josh.12676

Cited by 19 publications

(19 citation statements)

References 34 publications

(58 reference statements)

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“…The characteristics of the included studies are presented in Multimedia Appendix 4 . A many as 4 studies were carried out in the United States [ 48 - 51 ], 4 in Australia [ 44 , 46 , 52 , 53 ], 1 in Finland [ 23 ], 1 in Italy [ 47 ], 1 in Germany [ 54 ], and 1 in Singapore [ 45 ]. These included studies were published between 2011 and 2021 and involved 3227 participants.…”

Section: Resultsmentioning

confidence: 99%

The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis

Wang¹,

Cheng²,

Song³

et al. 2022

JMIR Mhealth Uhealth

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Background The prevalence of obesity in children and adolescents remains a global public health issue. Wearable devices may offer new opportunities for prevention and intervention in obesity. Previous systematic reviews have only examined the effect of the wearable device interventions on preventing and treating obesity in adults. However, no systematic review has provided an evaluation of wearable devices as physical activity interventions for preventing and treating obesity in children and adolescents. Objective The purpose of this review and meta-analysis was to evaluate the effectiveness of wearable devices as physical activity interventions on obesity-related anthropometric outcomes in children and adolescents. Methods Research articles retrieved from PubMed, EMBASE, Cochrane Library, Scopus, and EBSCO from inception to February 1, 2021, were reviewed. The search was designed to identify studies utilizing wearable devices for preventing and treating obesity in children and adolescents. The included studies were evaluated for risk of bias following the Cochrane recommendation. Meta-analyses were conducted to evaluate the effectiveness of wearable devices as physical activity interventions on body weight, body fat, BMI z-score (BMI-Z), BMI, and waist circumference. Subgroup analyses were performed to determine whether the characteristics of the interventions had an impact on the effect size. Results A total of 12 randomized controlled trials (3227 participants) were selected for meta-analysis. Compared with the control group, wearable device interventions had statistically significant beneficial effects on BMI (mean difference [MD] –0.23; 95% CI –0.43 to –0.03; P=.03; I2=2%), BMI-Z (MD –0.07; 95% CI –0.13 to –0.01; P=.01; I2=81%), body weight (MD –1.08; 95% CI –2.16 to –0.00; P=.05; I2=58%), and body fat (MD –0.72; 95% CI –1.19 to –0.25; P=.003; I2=5%). However, no statistically significant effect was found on waist circumference (MD 0.55; 95% CI –0.21 to 1.32; P=.16; I2=0%). The subgroup analysis showed that for participants with overweight or obesity (MD –0.75; 95% CI –1.18 to –0.31; P<.01; I2=0%), in the short-term (MD –0.62; 95% CI –1.03 to –0.21; P<.01; I2=0%), wearable-based interventions (MD –0.56; 95% CI –0.95 to –0.18; P<.01; I2=0%) generally resulted in greater intervention effect size on BMI. Conclusions Evidence from this meta-analysis shows that wearable devices as physical activity interventions may be useful for preventing and treating obesity in children and adolescents. Future research is needed to identify the most effective physical activity indicators of wearable devices to prevent and treat obesity in children and adolescents.

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Section: Resultsmentioning

confidence: 99%

The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis

Wang¹,

Cheng²,

Song³

et al. 2022

JMIR Mhealth Uhealth

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show abstract

“…Sedentary behavior also has a significant influence, leading to poorer health outcomes (Colley et al, 2013). For this reason, it is important measure PF, sedentary time, and PA. To measure PA, some studies used pedometers to measure PA in children and teenagers (Tudor-Locke et al, 2006;Isensee et al, 2018;Fang et al, 2020). It has some advantages, such as the cost, but they can not have the ability to measure different intensities (like MVPA).…”

Section: Introductionmentioning

confidence: 99%

Effects of an Educational Hybrid Physical Education Program on Physical Fitness, Body Composition and Sedentary and Physical Activity Times in Adolescents: The Seneb’s Enigma

et al. 2021

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Physical activity (PA), body composition and sedentary behavior may affect the health of children. Therefore, this study examined the effect of an educational hybrid physical education (PE) program on physical fitness (PF), body composition and sedentary and PA times in adolescents. A 9-month group-randomized controlled trial was conducted in 150 participants (age: 14.63 ± 1.38 years) allocated into the control group (CG, n = 37) and experimental group (EG, n = 113). Cardiorespiratory fitness, speed, strength, agility, flexibility and body mass index (BMI) were assessed through previously validated field tests. Sedentary time, PA at school and afterschool were evaluated with the Youth Activity Profile-Spain questionnaire. Significant differences were observed concerning to the CG in APA-weekend (p = 0.044), speed-agility (p = 0.005) and agility (p = 0.008). Regarding the intervention, cardiorespiratory fitness (p = 0.000), speed-agility (p = 0.000), strength (p = 0.000), flexibility (p = 0.000), agility (p = 0.000), PA in school (p = 0.011), APA-weekday (p = 0.001), APA-weekend (p = 0.000), APA-week (p = 0.000), and sedentary time (p = 0.000) increased significantly in the EG. The use of a hybrid program based on teaching personal and social responsibility and gamification strategies produced enhancements in cardiorespiratory fitness, agility, speed, APA-weekdays and APA-weekends, reducing the sedentary time.

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“…To date, however, activity monitoring has not been widely adopted in the school environment as a method to assess student health, even though there is some evidence to suggest that providing students with data derived from activity monitors may increase their motivation to engage in physical activity. [132][133][134][135] Future consideration of the role of PFT in schools, therefore, should include a discussion of the potential for physical activity assessment as a possible alternative strategy for identifying students at elevated health risk, generating data that might be used to highlight disparities in health across demographic and regional groups, and promoting individual behavior change conducive to better health.…”

Section: Discussionmentioning

confidence: 99%

Critical Evaluation of the Case for Pausing California’s School-based Fitness Testing

Woodworth

Schneider

2021

Health Behav Policy Rev

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Objective: We undertook a literature review to evaluate the evidence for an association among school-based fitness testing and bullying, weight-based teasing (WBT), and/or gender discrimination. Methods: We searched the peer-reviewed literature using PubMed, ERIC and GOOGLE Scholar to identify articles related to school-based physical fitness testing (K-12) on the one hand and bullying, WBT, and/or gender discrimination on the other. Results: We identified 12 studies on the impact of school-based physical fitness testing (PFT) on bullying and WBT. These studies do not support the assertion that PFT places students at elevated risk for bullying and/or WBT as compared to other school settings. There is a dearth of studies investigating an association between PFT and gender discrimination. Conclusions: The concerns about PFT as a widespread cause of bullying and WBT are not supported by the evidence. It is likely that school climate is a stronger determinant overall of these negative student interactions and that more rigorous teacher training would ameliorate student concerns about fitness testing. Nevertheless, more rigorous research is warranted to determine with confidence that PFT does not elevate students’ risks for bullying and WBT and to examine the risks for students with non-binary gender.

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Effects of a School‐Based Pedometer Intervention in Adolescents: 1‐Year Follow‐Up of a Cluster‐Randomized Controlled Trial

Abstract: An easy way to administer school-based PA program may enhance students' leisure-time PA even 1 year after the intervention has ended.

Cited by 19 publications

References 34 publications

The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis

The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis

Effects of an Educational Hybrid Physical Education Program on Physical Fitness, Body Composition and Sedentary and Physical Activity Times in Adolescents: The Seneb’s Enigma

Critical Evaluation of the Case for Pausing California’s School-based Fitness Testing

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