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Effects of caffeine intake on muscle strength and power: a systematic review and meta-analysis.
Grgic, J, Trexler, ET, Lazinica, B, Pedisic, Z
Journal of the International Society of Sports Nutrition. 2018;15:11
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The possible physical performance enhancing (or 'ergogenic) effects of caffeine have been extensively studied since the early 1900s. Recent focus has shifted to its impact on anaerobic physical performance outcomes such as muscular strength, endurance and jumping tasks that require power. Although it has been found to enhance muscle endurance, less is known about its impact on strength and power. This is the first meta-analysis on caffeine and muscle power, and includes 20 studies - ten on muscle strength outcomes and ten on muscle power. The analysis found that caffeine significantly improves muscle strength (SMD = 0.20; 95% confidence interval [CI]: 0.03, 0.36; p = 0.023) but only for upper and not lower body strength. These results were found for men but more robust studies are needed to examine the impact for women (although the limited research suggests there may be a positive impact). This is in contrast to a previous meta-analysis that found no impact of caffeine on muscle strength (Polito, Souza, Casonatto & Farinatti, 2016). It was also found to significantly improve muscle power (SMD = 0.17; 95% CI: 0.00, 0.34; p = 0.047). Although the pooled effect of caffeine on performance outcomes was small to medium, even small improvements can make a big difference competitively. Future research is needed to identify the best dosage and form of caffeine to maximise its performance enhancing effects. Additionally, more robust research is needed to reduce bias, and studies including women. It is important to recognise that individual physical performance changes as a result of caffeine are variable, so these findings must be applied on a case-by-case basis. * Polito MD, Souza DB, Casonatto J, Farinatti P. Acute effect of caffeine consumption on isotonic muscular strength and endurance: a systematic review and meta-analysis. Sci Sports. 2016;31:119–28.
Abstract
BACKGROUND Caffeine is commonly used as an ergogenic aid. Literature about the effects of caffeine ingestion on muscle strength and power is equivocal. The aim of this systematic review and meta-analysis was to summarize results from individual studies on the effects of caffeine intake on muscle strength and power. METHODS A search through eight databases was performed to find studies on the effects of caffeine on: (i) maximal muscle strength measured using 1 repetition maximum tests; and (ii) muscle power assessed by tests of vertical jump. Meta-analyses of standardized mean differences (SMD) between placebo and caffeine trials from individual studies were conducted using the random effects model. RESULTS Ten studies on the strength outcome and ten studies on the power outcome met the inclusion criteria for the meta-analyses. Caffeine ingestion improved both strength (SMD = 0.20; 95% confidence interval [CI]: 0.03, 0.36; p = 0.023) and power (SMD = 0.17; 95% CI: 0.00, 0.34; p = 0.047). A subgroup analysis indicated that caffeine significantly improves upper (SMD = 0.21; 95% CI: 0.02, 0.39; p = 0.026) but not lower body strength (SMD = 0.15; 95% CI: -0.05, 0.34; p = 0.147). CONCLUSION The meta-analyses showed significant ergogenic effects of caffeine ingestion on maximal muscle strength of upper body and muscle power. Future studies should more rigorously control the effectiveness of blinding. Due to the paucity of evidence, additional findings are needed in the female population and using different forms of caffeine, such as gum and gel.
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Does high-carbohydrate intake lead to increased risk of obesity? A systematic review and meta-analysis.
Sartorius, K, Sartorius, B, Madiba, TE, Stefan, C
BMJ open. 2018;8(2):e018449
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As overweight and obesity is rising globally, better understanding its cause is important to help with prevention and management of disease. The objective of this meta-analysis is to investigate the relationship between carbohydrate intake and obesity, particularly at the differences between low and high carbohydrate diets. Based on 22 articles that met the inclusion criteria, a high-carbohydrate diet, or increased proportion of energy intake in the form of carbohydrates, does not increase the risk of being obese. Based on these results, the authors iterate further studies are required to better understand obesity risk with regards different carbohydrate groups including refined versus unrefined carbohydrates.
Abstract
OBJECTIVES The present study aimed to test the association between high and low carbohydrate diets and obesity, and second, to test the link between total carbohydrate intake (as a percentage of total energy intake) and obesity. SETTING, PARTICIPANTS AND OUTCOME MEASURES We sought MEDLINE, PubMed and Google Scholar for observation studies published between January 1990 and December 2016 assessing an association between obesity and high-carbohydrate intake. Two independent reviewers selected candidate studies, extracted data and assessed study quality. RESULTS The study identified 22 articles that fulfilled the inclusion and exclusion criteria and quantified an association between carbohydrate intake and obesity. The first pooled strata (high-carbohydrate versus low-carbohydrate intake) suggested a weak increased risk of obesity. The second pooled strata (increasing percentage of total carbohydrate intake in daily diet) showed a weak decreased risk of obesity. Both these pooled strata estimates were, however, not statistically significant. CONCLUSIONS On the basis of the current study, it cannot be concluded that a high-carbohydrate diet or increased percentage of total energy intake in the form of carbohydrates increases the odds of obesity. A central limitation of the study was the non-standard classification of dietary intake across the studies, as well as confounders like total energy intake, activity levels, age and gender. Further studies are needed that specifically classify refined versus unrefined carbohydrate intake, as well as studies that investigate the relationship between high fat, high unrefined carbohydrate-sugar diets. PROSPERO REGISTRATION NUMBER CRD42015023257.
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Impact of implementation intentions on physical activity practice in adults: A systematic review and meta-analysis of randomized clinical trials.
Silva, MAVD, São-João, TM, Brizon, VC, Franco, DH, Mialhe, FL
PloS one. 2018;13(11):e0206294
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Many behavioural interventions have been implemented in order to increase physical activity levels among adults. Despite these efforts, there is often a large gap between setting goals and attaining goals. The aim of this systematic review and meta-analysis was to evaluate the effectiveness of using theory-based strategies on goal attainment in promoting physical activity among adults (specifically implementation intentions or if-then planning). Particular interest was given to the impact of reinforcements during the intervention and follow-up period for coping with obstacles. A total of 13 randomised controlled trials were included. Implementation intentions consisted of two strategies. Firstly, action planning which was designed to increase awareness of possible future situations where behaviours could be achieved. Secondly, coping planning which focused on barriers that might impede the goal behaviour, and ways to overcome these possible barriers. According to the current literature, application of the theory-based goal setting promoted physical activity behaviours, and this was heightened among those who received reinforcement of plans to increase physical activity during the follow-up period.
Abstract
OBJECTIVE The aim of this study was to verify the efficacy of using theory-based strategies on implementation intentions in promoting physical activity (PA) among adults. METHODS This review was conducted in accordance with the PRISMA recommendations. The search was carried out in seven electronic databases (LILACS, PubMed, SciELO, Cochrane, Web of Science) and two searches of the "grey literature" were performed (Openthesis and OpenGrey). Randomized clinical trials (RCT), published up to September 2016, were considered eligible for this study. Two reviewers independently and systematically evaluated the eligibility criteria, and performed data extraction. A meta-analysis was performed for the purpose of comparing the effect between the intervention and control groups. The effect sizes were grouped in two subgroups with the purpose of more accurately verifying the effect caused by reinforcing the implementation intentions strategy, and using the inverse variance statistical method with random effects models to estimate the main effect of the implementation intention strategy on the PA behavior. Heterogeneity among the studies was evaluated by using I-square statistics, and the Jadad scale to evaluate the quality of included papers. RESULTS The search resulted in 12,147 records, of which 13 RCTs were considered eligible for this review. Sample age ranged from 18 to 76 years, and participants had conditions such as medullary lesion, coronary disease, obesity, diabetes mellitus, sedentarism or occupational stress. When the summary of the effect was analyzed in the meta-analysis, the result found in the subgroup with reinforcement of the implementation intentions strategy was 0.25 (IC 95% = 0.05-0.45) in favor of the intervention group. This demonstrated that application of the implementation intentions strategy was capable of increasing PA practice in the participants of these studies, in comparison with others that did not use this reinforcement. CONCLUSION The findings of this review indicated that application of the theory of implementation intentions promoted PA behavior among the adults who received reinforcement of this strategy. The systematic review protocol was registered in the PROSPERO database under the number CRD42018090482.
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Glycemic index, glycemic load, and risk of type 2 diabetes: results from 3 large US cohorts and an updated meta-analysis.
Bhupathiraju, SN, Tobias, DK, Malik, VS, Pan, A, Hruby, A, Manson, JE, Willett, WC, Hu, FB
The American journal of clinical nutrition. 2014;100(1):218-32
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Carbohydrates are the principle dietary components that effect blood glucose concentrations. The association between Type 2 diabetes (T2D) and diets with different levels of sugars and carbohydrates has been controversial in the prevention of T2D. Foods can be measured for their impact on blood glucose concentration using the Glycaemic Index (GI) and the Glycaemic Load (GL). The objective of this meta-analysis was to update previous studies and evaluate the association between the GI and GL of dietary intake and the risk of T2D. The authors found a significant association between the GI and GL of food intake and T2D risk and conclude that high GI and GL foods increase the risk of T2D. However, GI is more strongly associated to T2D than GL.
Abstract
BACKGROUND Epidemiologic evidence for the relation between carbohydrate quality and risk of type 2 diabetes (T2D) has been mixed. OBJECTIVE We prospectively examined the association of dietary glycemic index (GI) and glycemic load (GL) with T2D risk. DESIGN We prospectively followed 74,248 women from the Nurses' Health Study (1984-2008), 90,411 women from the Nurses' Health Study II (1991-2009), and 40,498 men from the Health Professionals Follow-Up Study (1986-2008) who were free of diabetes, cardiovascular disease, and cancer at baseline. Diet was assessed by using a validated questionnaire and updated every 4 y. We also conducted an updated meta-analysis, including results from our 3 cohorts and other studies. RESULTS During 3,800,618 person-years of follow-up, we documented 15,027 cases of incident T2D. In pooled multivariable analyses, those in the highest quintile of energy-adjusted GI had a 33% higher risk (95% CI: 26%, 41%) of T2D than those in the lowest quintile. Participants in the highest quintile of energy-adjusted GL had a 10% higher risk (95% CI: 2%, 18%) of T2D. Participants who consumed a combination diet that was high in GI or GL and low in cereal fiber had an ~50% higher risk of T2D. In the updated meta-analysis, the summary RRs (95% CIs) comparing the highest with the lowest categories of GI and GL were 1.19 (1.14, 1.24) and 1.13 (1.08, 1.17), respectively. CONCLUSION The updated analyses from our 3 cohorts and meta-analyses provide further evidence that higher dietary GI and GL are associated with increased risk of T2D.