Yakima D Vogtschmidt1, Anne Raben2, Ilona Faber3, Claudia de Wilde4, Julie A Lovegrove5, D Ian Givens6, Andreas F H Pfeiffer7, Sabita S Soedamah-Muthu8. 1. KingdomHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Whiteknights Campus, Harry Nursten Building, Reading RG6 6DZ, United Kingdom; Institute for Cardiovascular and Metabolic Research, University of Reading, Reading RG6 6DZ, United Kingdom; Institute for Food, Nutrition and Health, University of Reading, Reading RG6 6AR, United Kingdom. Electronic address: y.d.vogtschmidt@pgr.reading.ac.uk. 2. Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 30, 1958, Frederiksberg C, Denmark; Steno Diabetes Center Copenhagen (SDCC), Niels Steensens Vej 2, 2820, Gentofte, Denmark. 3. Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark. 4. Center of Research on Psychological and Somatic disorders (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, 5000, LE Tilburg, the Netherlands. 5. KingdomHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Whiteknights Campus, Harry Nursten Building, Reading RG6 6DZ, United Kingdom; Institute for Cardiovascular and Metabolic Research, University of Reading, Reading RG6 6DZ, United Kingdom; Institute for Food, Nutrition and Health, University of Reading, Reading RG6 6AR, United Kingdom. 6. Institute for Cardiovascular and Metabolic Research, University of Reading, Reading RG6 6DZ, United Kingdom; Institute for Food, Nutrition and Health, University of Reading, Reading RG6 6AR, United Kingdom. 7. German Center for Diabetes Research, Partner Potsdam, Berlin, Germany; Department of Endocrinology, Diabetes and Nutrition, Campus Benjamin Franklin, Charité University of Medicine, 12200, Berlin, Germany. 8. Institute for Food, Nutrition and Health, University of Reading, Reading RG6 6AR, United Kingdom; Center of Research on Psychological and Somatic disorders (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, 5000, LE Tilburg, the Netherlands.
Abstract
BACKGROUND AND AIMS: Higher protein (HP) diets may lead to lower cardiometabolic risk, compared to lower protein (LP) diets. This systematic review and meta-analysis aims to investigate the effects of HP versus LP diets on cardiometabolic risk factors in adults, using the totality of the current evidence from randomised controlled trials (RCTs). METHODS: Systematic searches were conducted in electronic databases, up to November 2020. Random effects meta-analyses were conducted to pool the standardised mean differences (SMD) and 95% confidence intervals (CI). The main outcomes were weight loss, body mass index (BMI), waist circumference, fat mass, systolic and diastolic BP, total cholesterol, HDL-and LDL-cholesterol, triacylglycerol, fasting glucose and insulin, and glycated haemoglobin. RESULTS: Fifty-seven articles reporting on 54 RCTs were included, involving 4344 participants (65% female, mean age: 46 (SD 10) years, mean BMI: 33 (SD 3) kg/m2), with a mean study duration of 18 weeks (range: 4 to 156 weeks). Compared to LP diets (range protein (E%):10-23%), HP diets (range protein (E%): 20-45%) led to more weight loss (SMD -0.13, 95% CI: -0.23, -0.03), greater reductions in fat mass (SMD -0.14, 95% CI: -0.24, -0.04), systolic BP (SMD -0.12, 95% CI: -0.21, -0.02), total cholesterol (SMD -0.11, 95% CI: -0.19, -0.02), triacylglycerol (SMD -0.22, 95% CI: -0.30, -0.14) and insulin (SMD -0.12, 95% CI: -0.22, -0.03). No significant differences were observed for the other outcomes. CONCLUSIONS: Higher protein diets showed small, but favourable effects on weight loss, fat mass loss, systolic blood pressure, some lipid outcomes and insulin, compared to lower protein diets.
BACKGROUND AND AIMS: Higher protein (HP) diets may lead to lower cardiometabolic risk, compared to lower protein (LP) diets. This systematic review and meta-analysis aims to investigate the effects of HP versus LP diets on cardiometabolic risk factors in adults, using the totality of the current evidence from randomised controlled trials (RCTs). METHODS: Systematic searches were conducted in electronic databases, up to November 2020. Random effects meta-analyses were conducted to pool the standardised mean differences (SMD) and 95% confidence intervals (CI). The main outcomes were weight loss, body mass index (BMI), waist circumference, fat mass, systolic and diastolic BP, total cholesterol, HDL-and LDL-cholesterol, triacylglycerol, fasting glucose and insulin, and glycated haemoglobin. RESULTS: Fifty-seven articles reporting on 54 RCTs were included, involving 4344 participants (65% female, mean age: 46 (SD 10) years, mean BMI: 33 (SD 3) kg/m2), with a mean study duration of 18 weeks (range: 4 to 156 weeks). Compared to LP diets (range protein (E%):10-23%), HP diets (range protein (E%): 20-45%) led to more weight loss (SMD -0.13, 95% CI: -0.23, -0.03), greater reductions in fat mass (SMD -0.14, 95% CI: -0.24, -0.04), systolic BP (SMD -0.12, 95% CI: -0.21, -0.02), total cholesterol (SMD -0.11, 95% CI: -0.19, -0.02), triacylglycerol (SMD -0.22, 95% CI: -0.30, -0.14) and insulin (SMD -0.12, 95% CI: -0.22, -0.03). No significant differences were observed for the other outcomes. CONCLUSIONS: Higher protein diets showed small, but favourable effects on weight loss, fat mass loss, systolic blood pressure, some lipid outcomes and insulin, compared to lower protein diets.
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