scholarly journals The dose-response relationship between interval-training and VO2max in well-trained endurance runners: A systematic review

2021 ◽  
pp. 1-18
Author(s):  
Arran Parmar ◽  
Thomas W. Jones ◽  
Philip, R. Hayes
2020 ◽  
Vol 79 (1) ◽  
pp. 66-75
Author(s):  
Ryoichi Tagawa ◽  
Daiki Watanabe ◽  
Kyoko Ito ◽  
Keisuke Ueda ◽  
Kyosuke Nakayama ◽  
...  

Abstract Context Lean body mass is essential for health, yet consensus regarding the effectiveness of protein interventions in increasing lean body mass is lacking. Objective The aim of this systematic review was to evaluate the dose–response relationship of the effects of protein intake on lean body mass. Data Sources The PubMed and Ichushi-Web databases were searched electronically, and reference lists of the literature included here and in other meta-analyses were searched manually. Study Selection Randomized controlled trials evaluating the effects of protein intake on lean body mass were included. Data Extraction Two authors independently screened the abstracts; 5 reviewed the full texts. Results A total of 5402 study participants from 105 articles were included. In the multivariate spline model, the mean increase in lean body mass associated with an increase in protein intake of 0.1 g/kg of body weight per day was 0.39 kg (95%CI, 0.36–0.41) and 0.12 kg (95%CI, 0.11–0.14) below and above the total protein intake of 1.3 g/kg/d, respectively. Conclusions These findings suggest that slightly increasing current protein intake for several months by 0.1 g/kg/d in a dose-dependent manner over a range of doses from 0.5 to 3.5 g/kg/d may increase or maintain lean body mass. Systematic Review Registration UMIN registration number UMIN000039285.


2010 ◽  
Vol 31 (08) ◽  
pp. 567-571 ◽  
Author(s):  
L. Dalleck ◽  
T. T. Bushman ◽  
R. D. Crain ◽  
M. M. Gajda ◽  
E. M. Koger ◽  
...  

2021 ◽  
pp. 875512252110599
Author(s):  
Silvia J. Leon ◽  
Aaron Trachtenberg ◽  
Derek Briscoe ◽  
Maira Ahmed ◽  
Ingrid Hougen ◽  
...  

Background: Opioid analgesics are among the most commonly prescribed medications, but questions remain regarding their impact on the day-to-day functioning of patients including driving. We set out to perform a systematic review on the risk of motor vehicle collision (MVC) associated with prescription opioid exposure. Method: We searched Medline, PubMed, EMBASE, Scopus, and TRID from January 1990 to August 31, 2021 for primary studies assessing prescribed opioid use and MVCs. Results: We identified 14 observational studies that met inclusion criteria. Among those, 8 studies found an increased risk of MVC among those participants who had a concomitant opioid prescription at the time of the MVC and 3 found no significant increase of culpability of fatal MVC. The 3 studies that evaluated the presence of a dose-response relationship between the dose of opioids taken and the effects on MVC risk reported the existence of a dose-response relationship. Due to the heterogeneity of the different studies, a quantitative meta-analysis to sum evidence was deemed unfeasible. Our review supports increasing evidence on the association between motor vehicle collisions and prescribed opioids. This research would guide policies regarding driving legislation worldwide. Conclusion: Our review indicates that opioid prescriptions are likely associated with an increased risk of MVCs. Further studies are warranted to strengthen this finding, and investigate additional factors such as individual opioid medications, opioid doses and dose adjustments, and opioid tolerance for their effect on MVC risk.


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