scholarly journals Protein Intakes Greater Than vs. at the RDA Differentially Affect Lean Body Mass Change to Purposeful Catabolic and Anabolic Stressors: A Systematic Review and Meta-analysis (P08-075-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Yu Wang ◽  
Joshua Hudson ◽  
Robert Bergia ◽  
Wayne Campbell

Abstract Objectives Under stressful conditions such as energy restriction (ER) and resistance training (RT), recommended dietary allowance (RDA) for protein of 0.8 g/kg/d may no longer be an appropriate recommendation. Higher protein intakes are proposed to help promote, preserve, or attenuate the loss of lean mass. No known meta-analysis has been published previously that compares protein intakes greater than the RDA vs. the RDA as a control group. Therefore, we conducted a systematic review and meta-analysis to assess the effects of protein intake greater than versus at the RDA on changes in whole-body lean mass. Methods Three researchers independently screened 1531 articles published through August 2018 using PubMed, Scopus, CINAHL, and Cochrane databases, with additional articles identified through previously published review articles. Randomized-controlled, parallel studies at least 6 weeks long with apparently healthy adults (> = 19 years old) were eligible for data extraction. (PROSPERO, CRD 42018106532). Results Data from 19 studies resulting in 23 comparisons of lean mass changes were included in the final analysis. This abstract presents sub-analyses for comparisons with catabolic and anabolic stimuli, specifically ER and/or RT, respectively. Among all comparisons, protein intakes greater than the RDA attenuated lean mass loss after ER [0.41 kg (0.15, 0.67); WMD (95% CI), n = 15 comparisons], but did not influence lean mass change without ER [0.23 kg (−0.44, 0.89), n = 8]. Protein intakes greater than the RDA increased lean mass after RT [0.77 kg (0.23, 1.31), n = 3], but not influence change in lean mass without RT [0.29 kg (−0.04, 0.62, n = 20]. Conclusions Protein intakes greater than the RDA positively influence changes in lean mass when adults are purposefully stressed by the catabolic stimulus of dietary energy restriction and/or the anabolic stimulus of resistance training. The RDA for protein is adequate for adults during non-stressed states. Funding Sources Purdue University Lynn Fellowship. No external funding was provided for this review.

2019 ◽  
Vol 11 (3) ◽  
pp. 548-558 ◽  
Author(s):  
Joshua L Hudson ◽  
Yu Wang ◽  
Robert E Bergia III ◽  
Wayne W Campbell

ABSTRACT Under stressful conditions such as energy restriction (ER) and physical activity, the RDA for protein of 0.8 g · kg−1 · d−1 may no longer be an appropriate recommendation. Under catabolic or anabolic conditions, higher protein intakes are proposed to attenuate the loss or increase the gain of whole-body lean mass, respectively. No known published meta-analysis compares protein intakes greater than the RDA with intakes at the RDA. Therefore, we conducted a systematic review and meta-analysis to assess the effects of protein intakes greater than the RDA, compared with at the RDA, on changes in whole-body lean mass. Three researchers independently screened 1520 articles published through August 2018 using the PubMed, Scopus, CINAHL, and Cochrane databases, with additional articles identified in published systematic review articles. Randomized, controlled, parallel studies ≥6 wk long with apparently healthy adults (≥19 y) were eligible for inclusion. Data from 18 studies resulting in 22 comparisons of lean mass changes were included in the final overall analysis. Among all comparisons, protein intakes greater than the RDA benefitted changes in lean mass relative to consuming the RDA [weighted mean difference (95% CI): 0.32 (0.01, 0.64) kg, n = 22 comparisons]. In the subgroup analyses, protein intakes greater than the RDA attenuated lean mass loss after ER [0.36 (0.06, 0.67) kg, n = 14], increased lean mass after resistance training (RT) [0.77 (0.23, 1.31) kg, n = 3], but did not differentially affect changes in lean mass [0.08 (−0.59, 0.75) kg, n = 7] under nonstressed conditions (no ER + no RT). Protein intakes greater than the RDA beneficially influenced changes in lean mass when adults were purposefully stressed by the catabolic stressor of dietary ER with and without the anabolic stressor of RT. The RDA for protein is adequate to support lean mass in adults during nonstressed states. This review was registered at www.crd.york.ac.uk/prospero as CRD 42018106532.


Author(s):  
Pedro J. Benito ◽  
Rocío Cupeiro ◽  
Domingo J. Ramos-Campo ◽  
Pedro E. Alcaraz ◽  
Jacobo Á. Rubio-Arias

We performed a systematic review and meta-analysis to study all published clinical trial interventions, determined the magnitude of whole-body hypertrophy in humans (healthy males) and observed the individual responsibility of each variable in muscle growth after resistance training (RT). Searches were conducted in PubMed, Web of Science and the Cochrane Library from database inception until 10 May 2018 for original articles assessing the effects of RT on muscle size after interventions of more than 2 weeks of duration. Specifically, we obtain the variables fat-free mass (FMM), lean muscle mass (LMM) and skeletal muscle mass (SMM). The effects on outcomes were expressed as mean differences (MD) and a random-effects meta-analysis and meta-regressions determined covariates (age, weight, height, durations in weeks…) to explore the moderate effect related to the participants and characteristics of training. One hundred and eleven studies (158 groups, 1927 participants) reported on the effects of RT for muscle mass. RT significantly increased muscle mass (FFM+LMM+SMM; Δ1.53 kg; 95% CI [1.30, 1.76], p < 0.001; I2 = 0%, p = 1.00). Considering the overall effects of the meta-regression, and taking into account the participants’ characteristics, none of the studied covariates explained any effect on changes in muscle mass. Regarding the training characteristics, the only significant variable that explained the variance of the hypertrophy was the sets per workout, showing a significant negative interaction (MD; estimate: 1.85, 95% CI [1.45, 2.25], p < 0.001; moderator: -0.03 95% CI [−0.05, −0.001] p = 0.04). In conclusion, RT has a significant effect on the improvement of hypertrophy (~1.5 kg). The excessive sets per workout affects negatively the muscle mass gain.


Author(s):  
Domingo Jesús Ramos-Campo ◽  
Luis Andreu-Caravaca ◽  
María Carrasco-Poyatos ◽  
Pedro J. Benito ◽  
Jacobo Ángel Rubio-Arias

A systematic review with meta-analysis was conducted to evaluate the effects of circuit resistance training (CRT) on cardiorespiratory fitness, strength, and body composition in middle-aged and older women. Sixteen studies were included in the meta-analysis. The CRT interventions led to a significant decrease in weight, body mass index, and fat mass along with an increase in muscle mass. Significant differences were found in the fat mass and a trend to develop muscle mass when compared with the control group. CRT led to a significant increase in VO2max, walking endurance, and time to exhaustion; likewise, significant differences were observed when compared with the control group. CRT had a moderate and large favorable effect on arm, trunk, and lower limb strength. Furthermore, the increases in strength observed in the CRT were significantly greater than the changes observed in the control group. In middle-aged and older women, CRT improved cardiorespiratory fitness and strength and optimized body composition.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Linqian Lu ◽  
Lin Mao ◽  
Yuwei Feng ◽  
Barbara E. Ainsworth ◽  
Yu Liu ◽  
...  

Abstract Objective We conducted a systematic review and meta-analysis to clarify the effects of different exercise modes (resistance training [RT], whole body vibration training [WBVT], and mixed training [MT, resistance training combined with other exercises such as balance, endurance and aerobic training]) on muscle strength (knee extension strength [KES]) and physical performance (Timed Up and Go [TUG], gait speed [GS] and the Chair Stand [CS]) in older people with sarcopenia. Method All studies published from January 2010 to March 2021 on the effects of exercise training in older people with sarcopenia were retrieved from 6 electronic databases: Pubmed, Cochrane Library, Embase, Web of Science, the China National Knowledge Infrastructure (CNKI), and Wanfang Database. Two researchers independently extracted and evaluated studies that met inclusion and exclusion criteria. Pooled analyses for pre- and post- outcome measurements were performed using Review Manager 5.4 with standardized mean differences (SMDs) and fixed-effect models. Result Twenty-six studies (25 randomized controlled trails [RCTs] and one non-randomized controlled trail) were included in this study with 1191 older people with sarcopenia (mean age 60.6 ± 2.3 to 89.5 ± 4.4). Compared with a control group, RT and MT significantly improved KES (RT, SMD = 1.36, 95% confidence intervals [95% CI]: 0.71 to 2.02, p < 0.0001, I2 = 72%; MT, SMD = 0.62, 95% CI: 0.29 to 0.95, p = 0.0002, I2 = 56%) and GS (RT, SMD = 2.01, 95% CI: 1.04 to 2.97, p < 0.0001, I2 = 84%; MT, SMD = 0.69, 95% CI: 0.29 to 1.09, p = 0.008, I2 = 81%). WBVT showed no changes in KES (SMD = 0.65, 95% CI: − 0.02 to 1.31, p = 0.06, I2 = 80%) or GS (SMD = 0.12, 95% CI: − 0.15 to 0.39, p = 0.38, I2 = 0%). TUG times were significantly improved with all exercise training modes (SMD = -0.66, 95% CI: − 0.94 to − 0.38, p < 0.00001, I2 = 60%). There were no changes in CS times with any of the exercise training modes (SMD = 0.11, 95% CI: − 0.36 to 0.57, p = 0.65, I2 = 87%). Conclusions In older people with sarcopenia, KES and GS can be improved by RT and MT, but not by WBVT. All three training modes improved TUG times, but not improved CS times.


2021 ◽  
Author(s):  
Omid Mirmosayyeb ◽  
Narges Ebrahimi ◽  
Mahdi Barzegar ◽  
Alireza Afshari-Safavi ◽  
Sara Bagherieh ◽  
...  

Objectives: Olfactory dysfunction is a major comorbidity observed in patients with multiple sclerosis, yet different prevalence rates are reported for it. Therefore, we have designed this systematic review to estimate the pooled prevalence of olfactory dysfunction in patients with MS. To our knowledge, this is the first systematic review and meta-analysis on the prevalence of olfactory dysfunction in MS patients. Method: We searched PubMed, Scopus, EMBASE, Web of Science, ProQuest, and gray literature including references from the identified studies, review studies, and conference abstracts which were published up to January 2021. Articles that were relevant to our topic and could provide information regarding the prevalence of olfactory dysfunction, or the scores of smell threshold, discrimination, or identification (TDI scores) among MS patients and healthy individuals were included; however, articles published before 1990 and after the end of 2020 were excluded. Results: The literature search found 1630 articles. After eliminating duplicates, 897 articles remained. two abstract conference papers were included for final analysis. A total of 1099 MS cases and 299 MS patients with olfactory dysfunction were included in the analysis. The pooled prevalence of olfactory dysfunction in the included studies was 27.2%. (95% CI: [19.7%, 35.4%]) Also, the overall TDI score in MS patients was lower than that in the control group (SMD=-1.00; 95% CI: [-1.44, -0.56]), and the level of Threshold (SMD= -0.47; 95% CI: [-0.75, -0.19]), Discrimination (SMD=-0.53; 95% CI: [-0.96, -0.10]), and Identification (SMD=-1.02; 95% CI: [-1.36, -0.68]) per se were lower in MS compared with control respectively. Conclusion: The results of this systematic review shows that the prevalence of olfactory dysfunction in MS patients is high and more attention needs to be drawn to this aspect of MS.


Muscles ◽  
2022 ◽  
Vol 1 (1) ◽  
pp. 1-15
Author(s):  
Irismar G. A. Encarnação ◽  
Ricardo B. Viana ◽  
Saulo R. S. Soares ◽  
Eduardo D. S. Freitas ◽  
Claudio A. B. de Lira ◽  
...  

A detraining period after resistance training causes a significant decrease in trained-induced muscular adaptations. However, it is unclear how long muscle strength and hypertrophy gains last after different detraining periods. Thus, the present systematic review with meta-analysis aimed to evaluate the chronic effects of detraining on muscle strength and hypertrophy induced by resistance training. Searches were conducted on PubMed, Scopus, EBSCO, CINAHL, CENTRAL, and Web of Science. The difference in means and pooled standard deviations of outcomes were converted into Hedges’ g effect sizes (g). Twenty randomized and non-randomized trials (high and moderate risks of bias, respectively, and fair quality) were included for qualitative analysis of muscle strength and hypertrophy, while only two studies were included in the meta-analysis for maximum muscle strength. The resistance training group presented a significant increase in one-repetition maximum (1RM) chest press (g: 4.43 [3.65; 5.22], p < 0.001) and 1RM leg press strength (g: 4.47 [2.12; 6.82], p < 0.001) after training. The strength gains observed in the resistance training group were also maintained after 16–24 weeks of detraining (g: 1.99 [0.62; 3.36], p = 0.004; and g: 3.16 [0.82; 5.50], p = 0.008; respectively), when compared to the non-exercise control group. However, 1RM chest press and leg press strength level was similar between groups after 32 (g: 1.81 [−0.59; 4.21], p = 0.139; and g: 2.34 [−0.48; 5.16], p = 0.104; respectively) and 48 weeks of detraining (g: 1.01 [−0.76; 2.79], p = 0.263; and g: 1.16 [−1.09; 3.42], p = 0.311; respectively). There was not enough data to conduct a meta-analysis on muscular hypertrophy. In conclusion, the present systematic review and meta-analysis demonstrated that, when taking random error into account, there is no sufficient high-quality evidence to make any unbiased claim about how long changes in muscle strength induced by RT last after a DT period. Moreover, the effect of different DT periods on muscle hypertrophy induced by RT remains unknown since there was not enough data to conduct a meta-analysis with this variable.


2021 ◽  
pp. 174749302110042
Author(s):  
Grace Mary Turner ◽  
Christel McMullan ◽  
Olalekan Lee Aiyegbusi ◽  
Danai Bem ◽  
Tom Marshall ◽  
...  

Aims To investigate the association between TBI and stroke risk. Summary of review We undertook a systematic review of MEDLINE, EMBASE, CINAHL, and The Cochrane Library from inception to 4th December 2020. We used random-effects meta-analysis to pool hazard ratios (HR) for studies which reported stroke risk post-TBI compared to controls. Searches identified 10,501 records; 58 full texts were assessed for eligibility and 18 met the inclusion criteria. The review included a large sample size of 2,606,379 participants from four countries. Six studies included a non-TBI control group, all found TBI patients had significantly increased risk of stroke compared to controls (pooled HR 1.86; 95% CI 1.46-2.37). Findings suggest stroke risk may be highest in the first four months post-TBI, but remains significant up to five years post-TBI. TBI appears to be associated with increased stroke risk regardless of severity or subtype of TBI. There was some evidence to suggest an association between reduced stroke risk post-TBI and Vitamin K antagonists and statins, but increased stroke risk with certain classes of antidepressants. Conclusion TBI is an independent risk factor for stroke, regardless of TBI severity or type. Post-TBI review and management of risk factors for stroke may be warranted.


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