The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Protein supplementation improves muscle mass and physical performance in undernourished prefrail and frail elderly subjects: a randomized, double-blind, placebo-controlled trial
Open accessAbstract
Background Age-related loss of muscle mass and function is a major component of frailty. Nutrition supplementation with exercise is an effective strategy to decrease frailty by preventing sarcopenia, but the effect of protein alone is controversial.Objective The present study was performed to investigate a dose-dependent effect of protein supplementation on muscle mass and frailty in prefrail or frail malnourished elderly people.Design A 12-wk double-blind randomized controlled trial was conducted in elderly subjects aged 70-85 y with ≥1 of the Cardiovascular Health Study frailty criteria and a Mini Nutritional Assessment score ≤23.5 (n = 120). Participants were randomly assigned to 1 of 3 groups: 0.8, 1.2, or 1.5 g protein · kg-1 · d-1, with concealed allocation and intention-to-treat analysis. Primary outcomes were appendicular skeletal muscle mass (ASM) and skeletal muscle mass index (SMI) measured by dual-energy X-ray absorptiometry.Results After the 12-wk intervention, the 1.5-g protein · kg-1 · d-1 group had higher ASM (mean ± SD: 0.52 ± 0.64 compared with 0.08 ± 0.68 kg, P = 0.036) and SMI (ASM/weight: 0.87% ± 0.69% compared with 0.15% ± 0.89%, P = 0.039; ASM/BMI: 0.02 ± 0.03 compared with 0.00 ± 0.04, P = 0.033; ASM:fat ratio: 0.04 ± 0.11 compared with -0.02 ± 0.10, P = 0.025) than the 0.8-g protein · kg-1 · d-1 group. In addition, gait speed was improved in the 1.5-g protein · kg-1 · d-1 group compared with the 0.8-g protein · kg-1 · d-1 group (0.09 ± 0.07 compared with 0.04 ± 0.07 m/s, P = 0.039). There were no significant differences between the 1.2- and 0.8-g protein · kg-1 · d-1 groups in muscle mass and physical performance. No harmful adverse effects were observed.Conclusions The present study indicates that protein intake of 1.5 g · kg-1 · d-1 has the most beneficial effects in regard to preventing sarcopenia and frailty compared with protein intakes of 0.8 and 1.2 g · kg-1 · d-1 in prefrail or frail elderly subjects at risk of malnutrition. This trial was registered at cris.nih.go.kr as KCT0001923.
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Frailty in Older Adults: Evidence for a Phenotype
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.3.m146 · Cited by 24,907
The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons
Podsiadlo, D., & Richardson, S. (1991) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1991.tb01616.x · Cited by 14,418
Guralnik, J. M., Simonsick, E. M., Ferrucci, L., Glynn, R. J., Berkman, L. F., Blazer, D. G., Scherr, P. A., & Wallace, R. B. (1994) · Journal of Gerontology · doi:10.1093/geronj/49.2.m85 · Cited by 9,792
Goodpaster, B. H., Park, S. W., Harris, T. B., Kritchevsky, S. B., Nevitt, M., Schwartz, A. V., Simonsick, E. M., Tylavsky, F. A., Visser, M., Newman, A. B., et al. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.10.1059 · Cited by 3,083
Vellas, B., Guigoz, Y., Garry, P. J., Nourhashemi, F., Bennahum, D., Lauque, S., & Albarede, J.-L. (1999) · Nutrition · doi:10.1016/s0899-9007(98)00171-3 · Cited by 2,161
Deutz, N. E. P., Bauer, J. M., Barazzoni, R., Biolo, G., Boirie, Y., Bosy-Westphal, A., Cederholm, T., Cruz-Jentoft, A., Krznariç, Z., Nair, K. S., et al. (2014) · Clinical Nutrition · doi:10.1016/j.clnu.2014.04.007 · Cited by 1,738
A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
Rosenblatt, M. (1956) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.42.1.43 · Cited by 1,405
Morton, R. W., Murphy, K. T., McKellar, S. R., Schoenfeld, B. J., Henselmans, M., Helms, E., Aragon, A. A., Devries, M. C., Banfield, L., Krieger, J. W., et al. (2018) · British Journal of Sports Medicine · doi:10.1136/bjsports-2017-097608 · Cited by 1,269
Moore, D. R., Churchward-Venne, T. A., Witard, O., Breen, L., Burd, N. A., Tipton, K. D., & Phillips, S. M. (2015) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glu103 · Cited by 770
Ng, T. P., Feng, L., Nyunt, M. S. Z., Feng, L., Niti, M., Tan, B. Y., Chan, G., Khoo, S. A., Chan, S. M., Yap, P. L. K., et al. (2015) · The American Journal of Medicine · doi:10.1016/j.amjmed.2015.06.017 · Cited by 747
Research works printed but not linked: 1
- 2016, OECD economic surveys: Korea 2016, OECD economic surveys: Korea 2016
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Plant Proteins: Assessing Their Nutritional Quality and Effects on Health and Physical Function
Hertzler, S. R., Lieblein-Boff, J. C., Weiler, M., & Allgeier, C. (2020) · Nutrients · doi:10.3390/nu12123704 · Cited by 594
“Among these health benefits are increases in lean body mass [2–6], functional benefits such as increased leg power [4] or gait speed [6], and improved bone density [7–9].”
BackgroundNutrition and Sarcopenia—What Do We Know?
Ganapathy, A., & Nieves, J. W. (2020) · Nutrients · doi:10.3390/nu12061755 · Cited by 355
“Park 2018 [18] n = 120, age 70–85 years, met ≥1 of modified CHS frailty criteria, and MNA score ≤ 23.”
BackgroundMethodTamura, Y., Omura, T., Toyoshima, K., & Araki, A. (2020) · Nutrients · doi:10.3390/nu12113367 · Cited by 251
“Furthermore, in an interventional study including prefrail and frail patients, high protein intake improved muscle mass and physical performance [127].”
BackgroundHealthy Aging—Nutrition Matters: Start Early and Screen Often
Roberts, S. B., Silver, R. E., Das, S. K., Fielding, R. A., Gilhooly, C. H., Jacques, P. F., Kelly, J. M., Mason, J. B., McKeown, N. M., Reardon, M. A., et al. (2021) · Advances in Nutrition · doi:10.1093/advances/nmab032 · Cited by 138
Approaches to the diagnosis and prevention of frailty
Woolford, S. J., Sohan, O., Dennison, E. M., Cooper, C. C., & Patel, H. P. (2020) · Aging Clinical and Experimental Research · doi:10.1007/s40520-020-01559-3 · Cited by 129
Metadata
- Authors
- Park, Y., Choi, J.-E., & Hwang, H.-S.
- Affiliations
- Hanyang University (KR)
- Corresponding author
- Park, Yongsoon
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 108
- Issue
- 5
- Pages
- 1026-1033
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2900982893
- Cited by
- 193
- References
- 33
- Citations by year
- 2026: 18 · 2025: 29 · 2024: 30 · 2023: 29 · 2022: 25 · 2021: 28 · 2020: 26 · 2019: 6 · 2018: 2
- FWCI
- 10.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Health & Welfare, Republic of Korea (HI15C3207)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Keywords
- protein supplementation, frailty, pre-frailty, sarcopenia, muscle mass, skeletal muscle index, malnutrition, older adults, walking speed, physical performance, dose-response relationship, appendicular skeletal muscle mass, Mini Nutritional Assessment, dietary intervention, exercise training, functional capacity, quality of life, body composition
- MeSH terms
- Frailty, Physical Functional Performance, Aged, Aged, 80 and over, Body Composition, Dietary Proteins, Dose-Response Relationship, Drug, Double-Blind Method, Female, Humans, Male, Nutritional Status, Nutrition Assessment, Frail Elderly, Muscle, Skeletal, Dietary Supplements, Malnutrition, Sarcopenia
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