Letter in response to: concurrent aerobic plus resistance exercise versus aerobic exercise alone to improve health outcomes in paediatric obesity—a systematic review and meta-analysis

2018 ◽  
Vol 52 (20) ◽  
pp. e7-e7 ◽  
Author(s):  
Fabricio de Souza ◽  
Márcia M M de Souza ◽  
Fabiana Schuelter Trevisol ◽  
Daisson J Trevisol
2018 ◽  
Vol 53 (16) ◽  
pp. 1045.2-1046
Author(s):  
Antonio García-Hermoso ◽  
Robinson Ramírez-Vélez ◽  
Rodrigo Ramírez-Campillo ◽  
Mark D Peterson ◽  
Vicente Martínez-Vizcaíno

2016 ◽  
Vol 52 (3) ◽  
pp. 161-166 ◽  
Author(s):  
Antonio García-Hermoso ◽  
Robinson Ramírez-Vélez ◽  
Rodrigo Ramírez-Campillo ◽  
Mark D Peterson ◽  
Vicente Martínez-Vizcaíno

ObjectiveTo determine if the combination of aerobic and resistance exercise is superior to aerobic exercise alone for the health of obese children and adolescents.DesignSystematic review with meta-analysis.Data sourcesComputerised search of 3 databases (MEDLINE, EMBASE, and Cochrane Controlled Trials Registry).Eligibility criteria for selecting studiesStudies that compared the effect of supervised concurrent exercise versus aerobic exercise interventions, with anthropometric and metabolic outcomes in paediatric obesity (6–18 years old). The mean differences (MD) of the parameters from preintervention to postintervention between groups were pooled using a random-effects model.Results12 trials with 555 youths were included in the meta-analysis. Compared with aerobic exercise alone, concurrent exercise resulted in greater reductions in body mass (MD=−2.28 kg), fat mass (MD=−3.49%; and MD=−4.34 kg) and low-density lipoprotein cholesterol (MD=−10.20 mg/dL); as well as greater increases in lean body mass (MD=2.20 kg) and adiponectin level (MD=2.59 μg/mL). Differences were larger for longer term programmes (>24 weeks).SummaryConcurrent aerobic plus resistance exercise improves body composition, metabolic profiles, and inflammatory state in the obese paediatric population.Trial registration numberCRD42016039807.


2021 ◽  
Vol 2 ◽  
Author(s):  
Sofia Daniolou ◽  
Andreas Rapp ◽  
Celina Haase ◽  
Alfred Ruppert ◽  
Marlene Wittwer ◽  
...  

The widespread adoption of digital health technologies such as smartphone-based mobile applications, wearable activity trackers and Internet of Things systems has rapidly enabled new opportunities for predictive health monitoring. Leveraging digital health tools to track parameters relevant to human health is particularly important for the older segments of the population as old age is associated with multimorbidity and higher care needs. In order to assess the potential of these digital health technologies to improve health outcomes, it is paramount to investigate which digitally measurable parameters can effectively improve health outcomes among the elderly population. Currently, there is a lack of systematic evidence on this topic due to the inherent heterogeneity of the digital health domain and the lack of clinical validation of both novel prototypes and marketed devices. For this reason, the aim of the current study is to synthesize and systematically analyse which digitally measurable data may be effectively collected through digital health devices to improve health outcomes for older people. Using a modified PICO process and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, we provide the results of a systematic review and subsequent meta-analysis of digitally measurable predictors of morbidity, hospitalization, and mortality among older adults aged 65 or older. These findings can inform both technology developers and clinicians involved in the design, development and clinical implementation of digital health technologies for elderly citizens.


2013 ◽  
Vol 44 (4) ◽  
pp. 487-499 ◽  
Author(s):  
Zuyao Yang ◽  
Catherine A. Scott ◽  
Chen Mao ◽  
Jinling Tang ◽  
Andrew J. Farmer

2021 ◽  
Author(s):  
Li Lin ◽  
Kang Qin ◽  
Dezhong Chen ◽  
Ciyong Lu ◽  
Weiqing Chen ◽  
...  

2020 ◽  
Vol 218 ◽  
pp. 166-177.e2 ◽  
Author(s):  
Liel N. Cohn ◽  
Petros Pechlivanoglou ◽  
Yuna Lee ◽  
Sanjay Mahant ◽  
Julia Orkin ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e043722
Author(s):  
Naomi Priest ◽  
Kate Doery ◽  
Mandy Truong ◽  
Shuaijun Guo ◽  
Ryan Perry ◽  
...  

IntroductionRacism is a critical determinant of health and health inequities for children and youth. This protocol aims to update the first systematic review conducted by Priest et al (2013), including a meta-analysis of findings. Based on previous empirical data, it is anticipated that child and youth health will be negatively impacted by racism. Findings from this review will provide updated evidence of effect sizes across outcomes and identify moderators and mediators of relationships between racism and health.Methods and analysisThis systematic review and meta-analysis will include studies that examine associations between experiences of racism and racial discrimination with health outcomes of children and youth aged 0–24 years. Exposure measures include self-reported or proxy reported systemic, interpersonal and intrapersonal racism. Outcome measures include general health and well-being, physical health, mental health, biological markers, healthcare utilisation and health behaviours. A comprehensive search of studies from the earliest time available to October 2020 will be conducted. A random effects meta-analysis will examine the average effect of racism on a range of health outcomes. Study-level moderation will test the difference in effect sizes with regard to various sample and exposure characteristics. This review has been registered with the International Prospective Register of Systematic Reviews.Ethics and disseminationThis review will provide evidence for future research within the field and help to support policy and practice development. Results will be widely disseminated to both academic and non-academic audiences through peer-review publications, community summaries and presentations to research, policy, practice and community audiences.PROSPERO registration numberCRD42020184055.


Sign in / Sign up

Export Citation Format

Share Document