Predictive value of sarcopenia components for all-cause mortality: findings from population-based cohorts.

Autor: Westbury LD; MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK., Harvey NC; MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK. nch@mrc.soton.ac.uk.; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK. nch@mrc.soton.ac.uk., Beaudart C; Department of Biomedical Sciences, Clinical Pharmacology and Toxicology Research Unit, Namur Research Institute for Life Sciences (NARILIS), Faculty of Medicine, University of Namur, 5000, Namur, Belgium., Bruyère O; Division of Epidemiology, Public Health and Health Economics, Department of Public Health, University of Liège, Liège, Belgium., Cauley JA; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA., Cawthon P; Research Institute, California Pacific Medical Center, San Francisco, California, USA.; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA., Cruz-Jentoft AJ; Servicio de Geriatría, Hospital Universitario Ramón y Cajal (IRYCIS), Madrid, Spain., Curtis EM; MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK., Ensrud K; Medicine and Epidemiology & Community Health, University of Minnesota, Minnesota, USA.; Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA., Fielding RA; Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center On Aging, Tufts University, Boston, USA., Johansson H; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.; Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden., Kanis JA; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.; Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK., Karlsson MK; Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of Orthopedics, Skane University Hospital, Malmo, Sweden., Lane NE; Division of Rheumatology, Department of Internal Medicine, UC Davis Health, 4625 Second Avenue, Sacramento, CA, 95917, USA., Lengelé L; Metabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Université catholique de Louvain, 1200 Sint-Lambrechts-Woluwe, Belgium., Lorentzon M; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.; Center for Osteoporosis Research, Institute of Medicine, Sahlgrenska Academy, Sahlgrenska University Hospital, Mölndal, Sweden., McCloskey E; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.; Centre for Integrated Research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK., Mellström D; Centre for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Newman AB; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA., Ohlsson C; Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.; Region Västra Götaland, Sahlgrenska University Hospital, Department of Drug Treatment, Gothenburg, Sweden., Orwoll E; Oregon Health & Science University, Portland, Oregon, USA., Reginster JY; Protein Research Chair, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia., Ribom E; Department of Surgical Sciences, University of Uppsala, Uppsala, Sweden., Rosengren BE; Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of Orthopedics, Skane University Hospital, Malmo, Sweden., Schousboe JT; Park Nicollet Clinic and HealthPartners Institute, Bloomington, Minnesota, USA.; University of Minnesota, Minneapolis, Minnesota, USA., Dennison EM; MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.; Victoria University of Wellington, Wellington, New Zealand., Cooper C; MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.; NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
Jazyk: angličtina
Zdroj: Aging clinical and experimental research [Aging Clin Exp Res] 2024 Jun 06; Vol. 36 (1), pp. 126. Date of Electronic Publication: 2024 Jun 06.
DOI: 10.1007/s40520-024-02783-x
Abstrakt: Background: Low grip strength and gait speed are associated with mortality. However, investigation of the additional mortality risk explained by these measures, over and above other factors, is limited.
Aim: We examined whether grip strength and gait speed improve discriminative capacity for mortality over and above more readily obtainable clinical risk factors.
Methods: Participants from the Health, Aging and Body Composition Study, Osteoporotic Fractures in Men Study, and the Hertfordshire Cohort Study were analysed. Appendicular lean mass (ALM) was ascertained using DXA; muscle strength by grip dynamometry; and usual gait speed over 2.4-6 m. Verified deaths were recorded. Associations between sarcopenia components and mortality were examined using Cox regression with cohort as a random effect; discriminative capacity was assessed using Harrell's Concordance Index (C-index).
Results: Mean (SD) age of participants (n = 8362) was 73.8(5.1) years; 5231(62.6%) died during a median follow-up time of 13.3 years. Grip strength (hazard ratio (95% CI) per SD decrease: 1.14 (1.10,1.19)) and gait speed (1.21 (1.17,1.26)), but not ALM index (1.01 (0.95,1.06)), were associated with mortality in mutually-adjusted models after accounting for age, sex, BMI, smoking status, alcohol consumption, physical activity, ethnicity, education, history of fractures and falls, femoral neck bone mineral density (BMD), self-rated health, cognitive function and number of comorbidities. However, a model containing only age and sex as exposures gave a C-index (95% CI) of 0.65(0.64,0.66), which only increased to 0.67(0.67,0.68) after inclusion of grip strength and gait speed.
Conclusions: Grip strength and gait speed may generate only modest adjunctive risk information for mortality compared with other more readily obtainable risk factors.
(© 2024. The Author(s).)
Databáze: MEDLINE
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