Systematic Review of Automatic Assessment Systems for Resistance-Training Movement Performance: A Data Science Perspective

Protein intake is an important factor for augmenting the response to resistance training in healthy individuals. Although food intake can help with anabolism during the day, the period of time during sleep is typically characterized by catabolism and other metabolic shifts. Research on the application of nighttime casein protein supplementation has introduced a new research paradigm related to protein timing. Pre-sleep casein supplementation has been attributed to improved adaptive response by skeletal muscle to resistance training through increases in muscle protein synthesis, muscle mass, and strength. However, it remains unclear what the effect of this nutritional strategy is on non-muscular parameters such as metabolism and appetite in both healthy and unhealthy populations. The purpose of this systematic review is to understand the effects of pre-sleep casein protein on energy expenditure, lipolysis, appetite, and food intake in both healthy and overweight or obese individuals. A systematic review following PRISMA guidelines was conducted in CINAHL, Cochrane, and SPORTDiscus during March 2021, and 11 studies met the inclusion criteria. A summary of the main findings shows limited to no effects on metabolism or appetite when ingesting 24–48 g of casein 30 min before sleep, but data are limited, and future research is needed to clarify the relationships observed.

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On the relevance of data science for flight delay research: a systematic review

Transport Reviews ◽

10.1080/01441647.2020.1861123 ◽

2020 ◽

pp. 1-30

Author(s):

Leonardo Carvalho ◽

Alice Sternberg ◽

Leandro Maia Gonçalves ◽

Ana Beatriz Cruz ◽

Jorge A. Soares ◽

...

Keyword(s):

Systematic Review ◽

Data Science ◽

Flight Delay

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Assessment of changes in efficacy of antimalarials: a systematic review and network meta-regression

European Journal of Public Health ◽

10.1093/eurpub/ckaa166.828 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

S W Youdom ◽

R S Tchouenkou ◽

E-P Ndong-Nguema ◽

L K Basco

Keyword(s):

Systematic Review ◽

Uncomplicated Malaria ◽

Data Science ◽

Meta Analysis ◽

Decision Makers ◽

Inclusion Criteria ◽

Antimalarial Drug Resistance ◽

Consistency Model ◽

Meta Regression ◽

Methodological Studies

Abstract Background The fight against diseases such as malaria requires the synthesis of evidence from existing studies to inform decision makers. Indeed, at a cross road of antimalarial drug resistance, several artemisinin-based combination therapies (ACT) with multiple doses are available to fight uncomplicated malaria. However, little is known on how these combinations are combined as well as how different formulations are tested. Methods A systematic review was performed to identify randomized trials. Articles were sought by hand-searching and scanning references. Additional covariates effect on treatment outcome was assessed, and a modeling approach to reduce heterogeneity among trials was evaluated. We explored one single interaction effect for all treatment with age as the main covariate in a meta-regression. A Bayesian analysis was used to implement the consistency and inconsistency models under the WinBUGS software. Ranking measure was used to obtain a hierarchy of the competing interventions. Results In total, 77 articles meet the inclusion criteria with 15 combinations tested in 36,000 patients. Results were compared to that of frequentist approach and presented according to the Prisma NMA checklist. The consistency model showed a good performance than the inconsistency model under the hypothesis of homogeneity. It was found that compared to artemether-lumefantrine, the dihydro-artemisinin-piperaquine was more effective before (B, OR = 1.83; 95% CI = 1.31-2.56) and after (A, OR = 1.70; 95% CI = 1.20-2.43) covariate adjustment, and occupied the top rank. Conclusions The application of the methods described here may be helpful to gain better understanding of treatment efficacy and improve future decisions in malaria programs. Based on the available evidence, this study demonstrated the superiority of DHAP among currently recommended ACT in preventing as well as treating uncomplicated malaria. Key messages Choosing the best therapy requires data triangulation and data science. Network meta-analysis could be a solution but need more methodological studies.

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Can Resistance Training Improve Upper Limb Postural Tremor, Force Steadiness and Dexterity in Older Adults? A Systematic Review

Sports Medicine ◽

10.1007/s40279-019-01141-6 ◽

2019 ◽

Vol 49 (8) ◽

pp. 1199-1216

Author(s):

Justin W. L. Keogh ◽

Sinead O’Reilly ◽

Ethan O’Brien ◽

Steven Morrison ◽

Justin J. Kavanagh

Keyword(s):

Systematic Review ◽

Older Adults ◽

Resistance Training ◽

Upper Limb ◽

Postural Tremor ◽

Force Steadiness

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Effects of Supervised Multimodal Exercise Interventions on Cancer-Related Fatigue: Systematic Review and Meta-Analysis of Randomized Controlled Trials

BioMed Research International ◽

10.1155/2015/328636 ◽

2015 ◽

Vol 2015 ◽

pp. 1-13 ◽

Cited By ~ 44

Author(s):

José Francisco Meneses-Echávez ◽

Emilio González-Jiménez ◽

Robinson Ramírez-Vélez

Keyword(s):

Systematic Review ◽

Resistance Training ◽

Randomized Controlled Trials ◽

Meta Analysis ◽

Risk Of Bias ◽

Controlled Trials ◽

Exercise Interventions ◽

Training Interventions ◽

Randomized Controlled ◽

Cancer Related Fatigue

Objective. Cancer-related fatigue (CRF) is the most common and devastating problem in cancer patients even after successful treatment. This study aimed to determine the effects of supervised multimodal exercise interventions on cancer-related fatigue through a systematic review and meta-analysis.Design. A systematic review was conducted to determine the effectiveness of multimodal exercise interventions on CRF. Databases of PubMed, CENTRAL, EMBASE, and OVID were searched between January and March 2014 to retrieve randomized controlled trials. Risk of bias was evaluated using the PEDro scale.Results. Nine studiesn=772were included in both systematic review and meta-analysis. Multimodal interventions including aerobic exercise, resistance training, and stretching improved CRF symptoms (SMD=-0.23; 95% CI: −0.37 to −0.09;P=0.001). These effects were also significant in patients undergoing chemotherapyP<0.0001. Nonsignificant differences were found for resistance training interventionsP=0.30. Slight evidence of publication bias was observedP=0.04. The studies had a low risk of bias (PEDro scale mean score of 6.4 (standard deviation (SD) ± 1.0)).Conclusion. Supervised multimodal exercise interventions including aerobic, resistance, and stretching exercises are effective in controlling CRF. These findings suggest that these exercise protocols should be included as a crucial part of the rehabilitation programs for cancer survivors and patients during anticancer treatments.

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