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Nikolov J, Norman K, Buchmann N, Spranger J, Demuth I, Steinhagen-Thiessen E, Spira D, Mai K. Association between meal-specific daily protein intake and lean mass in older adults: results of the cross-sectional BASE-II study. Am J Clin Nutr 2021; 114:1141-1147. [PMID: 33963728 DOI: 10.1093/ajcn/nqab144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 04/06/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Adequate total and meal-specific protein intake is considered an important prerequisite to preserve appendicular lean mass (ALM) in older adults and to prevent sarcopenia. OBJECTIVES We analyzed the meal-specific protein intake across the main meals between participants with normal vs. low ALM to BMI ratio (ALMBMI). METHODS 782 participants [59.6% men; median 69 (IQR: 65, 71) y] of the Berlin Aging Study II have been included in this analysis. ALM was assessed by dual X-ray absorptiometry. Low lean mass was defined as ALMBMI using recommended sex-specific cut-offs. A 5-day nutritional protocol was used to assess total and meal-specific protein intake. RESULTS Median total protein intake was 0.89 (IQR: 0.74, 1.05) g/kg/d body weight (BW) in participants with low ALMBMI and 1.02 (IQR: 0.86, 1.21) g/kg BW in participants with normal ALMBMI (P < 0.001). Daily protein intake at breakfast was similar in both groups [0.23 (95% CI: 0.20, 0.26) vs. 0.24 (95% CI: 0.23, 0.26) g/kg BW; P = 0.245]. Subjects with low ALMBMI reported a lower protein intake at lunch and dinner compared with those with normal ALMBMI [0.29 (95% CI: 0.27, 0.32) vs. 0.35 (95% CI: 0.34, 0.36) g/kg BW; P = 0.001 and 0.32 (95% CI: 0.30, 0.35) vs. 0.36 (95% CI: 0.35, 0.37) g/kg BW; P = 0.027, respectively]. In a stepwise regression model, a higher total protein intake was positively associated with ALMBMI [ß = 0.10 (95% CI: 0.07, 0.13) P < 0.001]. The protein intake at dinner was positively associated with ALMBMI [ß = 0.14 (95% CI: 0.08, 0.19) P < 0.001] irrespective of protein intake at breakfast and lunch. This association disappeared after additional adjustment for total protein intake. CONCLUSION Our data highlight an association of total protein intake and ALMBMI in older adults. Although current data support an association of high ALMBMI with protein intake at dinner in particular, this was not independent from total protein intake and the findings do not allow a conclusion on causality.
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Affiliation(s)
- Jivko Nikolov
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany.,Department of Geriatrics, Intensive Care Unit, St. Joseph Hospital Berlin Tempelhof, Berlin, Germany
| | - Kristina Norman
- Research Group on Geriatrics, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam Rehbrücke, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Nuthetal, Germany
| | - Nikolaus Buchmann
- Department of Cardiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Joachim Spranger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany.,Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany
| | - Dominik Spira
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany
| | - Knut Mai
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
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Gaytán-González A, Ocampo-Alfaro MDJ, Torres-Naranjo F, González-Mendoza RG, Gil-Barreiro M, Arroniz-Rivera M, López-Taylor JR. Dietary Protein Intake Patterns and Inadequate Protein Intake in Older Adults from Four Countries. Nutrients 2020; 12:nu12103156. [PMID: 33081081 PMCID: PMC7602881 DOI: 10.3390/nu12103156] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 09/23/2020] [Accepted: 10/09/2020] [Indexed: 12/13/2022] Open
Abstract
Recent interest in protein intake per meal is observed in studies that have reported the protein intake patterns in different countries; however, comparisons of these data are lacking. We aimed to compare protein intake patterns and the percentage of inadequate protein intake (IPI) per day and meal in older adults from different countries. We acquired data of protein intake in older adults from four countries (Mexico, United States of America, Germany, and United Kingdom). We compared protein intake (per day and meal), IPI per day and meal, and the number of meals with an adequate protein content among countries. The IPI per day significantly differed among countries for <0.8 and <1.0 (both p < 0.001), but not for <1.2 g/kg/d (p = 0.135). IPI per meal (<30 g/meal) did not differ among countries at breakfast (p = 0.287) and lunch (p = 0.076) but did differ at dinner (p < 0.001). Conversely, IPI per meal (<0.4 g/kg/meal) significantly differed among countries at breakfast, lunch, and dinner (all p < 0.001). The percentage of participants that ate ≥30 g/meal or ≥0.4 g/kg/meal at zero, one, and two or three meals per day significantly differed among countries (all p < 0.05). IPI at breakfast and lunch (<30 g/meal) was a common trait in the analyzed samples and might represent an opportunity for nutritional interventions in older adults in different countries.
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Affiliation(s)
- Alejandro Gaytán-González
- Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation, and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara 44430, Mexico; (F.T.-N.); (R.G.G.-M.); (J.R.L.-T.)
- Department of Human Reproduction, Infantile Growth, and Development, University Health Sciences Center, University of Guadalajara, Guadalajara 44280, Mexico
- Correspondence: ; Tel.: +52-1-333-619-9708
| | | | - Francisco Torres-Naranjo
- Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation, and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara 44430, Mexico; (F.T.-N.); (R.G.G.-M.); (J.R.L.-T.)
- Center of Body Composition and Bone Research, Guadalajara 44600, Mexico
| | - Roberto Gabriel González-Mendoza
- Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation, and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara 44430, Mexico; (F.T.-N.); (R.G.G.-M.); (J.R.L.-T.)
| | - Martha Gil-Barreiro
- Geriatrics Department, Western General Hospital, Zapopan 45170, Mexico; (M.d.J.O.-A.); (M.G.-B.); (M.A.-R.)
| | - Maritza Arroniz-Rivera
- Geriatrics Department, Western General Hospital, Zapopan 45170, Mexico; (M.d.J.O.-A.); (M.G.-B.); (M.A.-R.)
| | - Juan R. López-Taylor
- Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation, and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara 44430, Mexico; (F.T.-N.); (R.G.G.-M.); (J.R.L.-T.)
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Effects of pre-sleep protein consumption on muscle-related outcomes - A systematic review. J Sci Med Sport 2020; 24:177-182. [PMID: 32811763 DOI: 10.1016/j.jsams.2020.07.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 07/23/2020] [Accepted: 07/28/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES The timing of protein intake over the day on muscle mass and strength gains have received interest in the literature. Thus, the aim of this systematic review is to analyze clinical studies that evaluated the acute effects of pre-sleep protein consumption on overnight muscle protein synthesis and the chronic effects on muscle mass and strength. DESIGNS Systematic review. METHODS A literature search was conducted up to June 2020 according to PRISMA statement and nine articles were included to analyze. RESULTS The consumption of 20-40 g of casein approximately 30 min before sleep stimulates whole-body protein synthesis rates over a subsequent overnight period in young and elderly men (preceded or not by resistance exercise, respectively). In addition, pre-sleep protein consumption can augment the muscle adaptive response (muscle fiber cross-sectional area, strength and muscle mass) during 10-12 weeks of resistance exercise in young, but not in elderly men. CONCLUSIONS Based on current evidence, the consumption of 20-40 g of casein approximately 30 min before sleep improves protein synthetic response during an overnight recovery period in healthy young adult men, with possible positive effects on muscle mass and strength following prolonged resistance exercise. In elderly, despite the initial evidence regarding the pre-sleep protein enhances overnight muscle protein synthesis rates, the current available evidence is limited precluding to conclude about the chronic effects on skeletal muscle mass or strength. These conclusions need to be taken with caution due to uneven protein intakes between experimental groups. Therefore, more data are needed before further considering pre-sleep protein as an effective nutritional intervention.
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Inadequate Protein Intake at Specific Meals Is Associated with Higher Risk of Impaired Functionality in Middle to Older Aged Mexican Adults. J Aging Res 2019; 2019:6597617. [PMID: 31089426 PMCID: PMC6476034 DOI: 10.1155/2019/6597617] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 01/29/2019] [Accepted: 02/17/2019] [Indexed: 11/17/2022] Open
Abstract
Purpose To describe the proportions of inadequate protein intake (IPI) per day and per meal and their association with functionality in middle to older aged Mexican adults. Materials and Methods In a cross-sectional design, we evaluated the protein intake and functionality of instrumental activities of daily living (IADL) and activities of daily living (ADL) of 190 middle to older aged Mexican adults. IPI was considered as any protein intake: <1.2 g/kg/day, <30 g/meal, or <0.4 g/kg/meal. Functionality was organized into three groups: high, middle, and low scores. The first was set as the reference, and the other was considered as impaired functionality. With a multinomial logistic regression, we analyzed the association between IPI per day and per meal with impaired functionality. Results A high proportion of participants showed IPI per day. The meal with the highest proportion of IPI was dinner, followed by breakfast and lunch for both criteria. IPI at lunch was a significant risk factor for impaired functionality in ADL when assessed with the 30 g/meal criterion (low scores, OR 3.82 (95% CI, 1.15–12.65); middle scores, OR 2.40 [1.03–5.62]). For the 0.4 g/kg/meal criterion, IPI at dinner was a significant risk factor for IADL middle scores only (OR 7.64, [1.27–45.85]). Conclusion IPI per meal is high in middle to older aged Mexican adults, and at specific meals, it is a significant risk factor for impaired functionality in activities of daily living.
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Burton DGA, Wilmot C, Griffiths HR. Personalising nutrition for older adults: The InCluSilver project. NUTR BULL 2018. [DOI: 10.1111/nbu.12356] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Jäger R, Kerksick CM, Campbell BI, Cribb PJ, Wells SD, Skwiat TM, Purpura M, Ziegenfuss TN, Ferrando AA, Arent SM, Smith-Ryan AE, Stout JR, Arciero PJ, Ormsbee MJ, Taylor LW, Wilborn CD, Kalman DS, Kreider RB, Willoughby DS, Hoffman JR, Krzykowski JL, Antonio J. International Society of Sports Nutrition Position Stand: protein and exercise. J Int Soc Sports Nutr 2017; 14:20. [PMID: 28642676 PMCID: PMC5477153 DOI: 10.1186/s12970-017-0177-8] [Citation(s) in RCA: 337] [Impact Index Per Article: 48.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2017] [Accepted: 06/05/2017] [Indexed: 01/03/2023] Open
Abstract
The International Society of Sports Nutrition (ISSN) provides an objective and critical review related to the intake of protein for healthy, exercising individuals. Based on the current available literature, the position of the Society is as follows:An acute exercise stimulus, particularly resistance exercise, and protein ingestion both stimulate muscle protein synthesis (MPS) and are synergistic when protein consumption occurs before or after resistance exercise.For building muscle mass and for maintaining muscle mass through a positive muscle protein balance, an overall daily protein intake in the range of 1.4-2.0 g protein/kg body weight/day (g/kg/d) is sufficient for most exercising individuals, a value that falls in line within the Acceptable Macronutrient Distribution Range published by the Institute of Medicine for protein.Higher protein intakes (2.3-3.1 g/kg/d) may be needed to maximize the retention of lean body mass in resistance-trained subjects during hypocaloric periods.There is novel evidence that suggests higher protein intakes (>3.0 g/kg/d) may have positive effects on body composition in resistance-trained individuals (i.e., promote loss of fat mass).Recommendations regarding the optimal protein intake per serving for athletes to maximize MPS are mixed and are dependent upon age and recent resistance exercise stimuli. General recommendations are 0.25 g of a high-quality protein per kg of body weight, or an absolute dose of 20-40 g.Acute protein doses should strive to contain 700-3000 mg of leucine and/or a higher relative leucine content, in addition to a balanced array of the essential amino acids (EAAs).These protein doses should ideally be evenly distributed, every 3-4 h, across the day.The optimal time period during which to ingest protein is likely a matter of individual tolerance, since benefits are derived from pre- or post-workout ingestion; however, the anabolic effect of exercise is long-lasting (at least 24 h), but likely diminishes with increasing time post-exercise.While it is possible for physically active individuals to obtain their daily protein requirements through the consumption of whole foods, supplementation is a practical way of ensuring intake of adequate protein quality and quantity, while minimizing caloric intake, particularly for athletes who typically complete high volumes of training. Rapidly digested proteins that contain high proportions of essential amino acids (EAAs) and adequate leucine, are most effective in stimulating MPS. Different types and quality of protein can affect amino acid bioavailability following protein supplementation. Athletes should consider focusing on whole food sources of protein that contain all of the EAAs (i.e., it is the EAAs that are required to stimulate MPS). Endurance athletes should focus on achieving adequate carbohydrate intake to promote optimal performance; the addition of protein may help to offset muscle damage and promote recovery. Pre-sleep casein protein intake (30-40 g) provides increases in overnight MPS and metabolic rate without influencing lipolysis.
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Affiliation(s)
| | - Chad M. Kerksick
- Exercise and Performance Nutrition Laboratory, School of Health Sciences, Lindenwood University, St. Charles, MO USA
| | - Bill I. Campbell
- Performance & Physique Enhancement Laboratory, University of South Florida, Tampa, FL USA
| | - Paul J. Cribb
- Metabolic Precision Certifications, Queensland, Australia
| | | | | | | | | | - Arny A. Ferrando
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR USA
| | - Shawn M. Arent
- IFNH Center for Health & Human Performance, Department of Kinesiology & Health, Rutgers, the State University of New Jersey, New Brunswick, New Jersey USA
| | - Abbie E. Smith-Ryan
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC USA
| | - Jeffrey R. Stout
- Institute of Exercise Physiology and Wellness, University of Central Florida, Orlando, FL USA
| | - Paul J. Arciero
- Human Nutrition and Metabolism Laboratory, Health and Exercise Sciences Department, Skidmore College, Saratoga Springs, NY 12866 USA
| | - Michael J. Ormsbee
- Department of Nutrition, Food and Exercise Sciences, Institute of Sport Sciences and Medicine, Florida State University, Tallahassee, USA
- Biokinetics, Exercise and Leisure Studies, University of KwaZulu-Natal, Durban, 4000 South Africa
| | - Lem W. Taylor
- Human Performance Laboratory, University of Mary Hardin-Baylor UMHB, Belton, TX 76513 USA
| | - Colin D. Wilborn
- Human Performance Laboratory, University of Mary Hardin-Baylor UMHB, Belton, TX 76513 USA
| | - Doug S. Kalman
- Department of Nutrition & Endocrinology, QPS, Miami, FL USA
| | - Richard B. Kreider
- Exercise & Sport Nutrition Lab, Human Clinical Research Facility, Department of Health & Kinesiology, Texas A&M University, College Station, TX USA
| | - Darryn S. Willoughby
- Exercise and Biochemical Nutrition Laboratory, Department of Health, Human Performance, and Recreation, Baylor University, Waco, TX USA
| | - Jay R. Hoffman
- Institute of Exercise Physiology and Wellness, University of Central Florida, Orlando, FL USA
| | | | - Jose Antonio
- Department of Health and Human Performance, Nova Southeastern University, Davie, FL USA
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