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Gandham A, Gregori G, Johansson L, Larsson BAM, Johansson H, Harvey NC, Vandenput L, McCloskey E, Kanis JA, Litsne H, Axelsson K, Lorentzon M. Sarcopenia definitions and their association with injurious falls in older Swedish women from the Sahlgrenska University Hospital Prospective Evaluation of Risk of Bone fractures (SUPERB) study. Osteoporos Int 2024; 35:1963-1972. [PMID: 39105786 PMCID: PMC11499409 DOI: 10.1007/s00198-024-07196-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 07/15/2024] [Indexed: 08/07/2024]
Abstract
Associations between different sarcopenia definitions and the risk of injurious falls were investigated in 75-80-year-old women in the Swedish SUPERB cohort. Only sarcopenia according to the Sarcopenia Definitions and Outcomes Consortium (SDOC) definition was associated with incident injurious falls with and without fractures in older women. PURPOSE To investigate the association between three commonly used sarcopenia definitions and the risk of injurious falls in a population of older Swedish women. METHODS A total of 2,883 75-80-year-old women with complete data on relevant sarcopenia definitions from the Swedish SUPERB cohort were studied. Sarcopenia was defined based on the Sarcopenia Definitions and Outcomes Consortium (SDOC: low handgrip strength and gait speed), revised European Working Group on Sarcopenia in Older People (EWGSOP2: low appendicular lean mass index (ALMI, dual-energy X-ray absorptiometry (DXA)-derived), appendicular lean mass (kg)/height (m2), hand grip strength (kg), or low chair stand time (s)), and Asian Working Group for Sarcopenia (AWGS: low ALMI and hand grip strength (kg) or low gait speed (m/s)). Questionnaires captured the occurrence of falls in the past 12 months. Incident injurious falls were identified using national registers. Cox regression (hazard ratios (HR) and 95% confidence intervals (CI)) analyses were performed without adjustment and after adjustment for age, body mass index, previous falls, and the Charlson comorbidity index. RESULTS During a median (IQR) follow-up time of 7.06 (6.2-7.9) years, there were 491 injurious falls without fracture and 962 injurious falls when also including falls resulting in a fracture. Sarcopenia according to EWGSOP2 and AWGS was not associated with an increased risk of injurious falls. Individuals with sarcopenia defined by SDOC had a higher risk of injurious falls with and without fracture (HR 2.11; 95% CI, 1.63-2.73 and HR, 2.16; 95% CI, 1.55-3.02, respectively). CONCLUSION Sarcopenia definitions confined to muscle function and strength such as SDOC, rather than including DXA-determined ALMI (EWGSOP2 and AWGS), are associated with incident injurious falls with and without fractures in older women.
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Affiliation(s)
- Anoohya Gandham
- Mary MacKillop Institute for Health Research, Australian Catholic University, Victoria, 3000, Australia.
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
| | - Giulia Gregori
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Lisa Johansson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Department of Orthopedics, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Berit A M Larsson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Närhälsan Sisjön Health Centre, Sisjön, Sweden
| | - Helena Johansson
- Mary MacKillop Institute for Health Research, Australian Catholic University, Victoria, 3000, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Nicholas C Harvey
- 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
| | - Liesbeth Vandenput
- Mary MacKillop Institute for Health Research, Australian Catholic University, Victoria, 3000, Australia
| | - Eugene McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, Sheffield, UK
| | - John A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Victoria, 3000, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - Henrik Litsne
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Kristian Axelsson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- n Västra Götaland, Geriatric Medicine, Institute of, Regio, Medicine, Sahlgrenska University Hospital, Building K, 6Th Floor, 431 80, Mölndal, Sweden
| | - Mattias Lorentzon
- Mary MacKillop Institute for Health Research, Australian Catholic University, Victoria, 3000, Australia.
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
- Region Västra Götaland, Geriatric Medicine, Institute of Medicine, Sahlgrenska University Hospital, Building K, 6Th Floor, 431 80, Mölndal, Sweden.
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Westbury LD, Harvey NC, Beaudart C, Bruyère O, Cauley JA, Cawthon P, Cruz-Jentoft AJ, Curtis EM, Ensrud K, Fielding RA, Johansson H, Kanis JA, Karlsson MK, Lane NE, Lengelé L, Lorentzon M, McCloskey E, Mellström D, Newman AB, Ohlsson C, Orwoll E, Reginster JY, Ribom E, Rosengren BE, Schousboe JT, Dennison EM, Cooper C. Predictive value of sarcopenia components for all-cause mortality: findings from population-based cohorts. Aging Clin Exp Res 2024; 36:126. [PMID: 38842791 PMCID: PMC11156728 DOI: 10.1007/s40520-024-02783-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 05/21/2024] [Indexed: 06/07/2024]
Abstract
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.
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Affiliation(s)
- Leo D Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Nicholas C Harvey
- 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.
| | - Charlotte Beaudart
- 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
| | - Olivier Bruyère
- Division of Epidemiology, Public Health and Health Economics, Department of Public Health, University of Liège, Liège, Belgium
| | - Jane A Cauley
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peggy Cawthon
- Research Institute, California Pacific Medical Center, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | | | - Elizabeth M Curtis
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Kristine Ensrud
- 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
| | - Roger A Fielding
- Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center On Aging, Tufts University, Boston, USA
| | - Helena Johansson
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - John A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - Magnus K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of Orthopedics, Skane University Hospital, Malmo, Sweden
| | - Nancy E Lane
- Division of Rheumatology, Department of Internal Medicine, UC Davis Health, 4625 Second Avenue, Sacramento, CA, 95917, USA
| | - Laetitia Lengelé
- Metabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Université catholique de Louvain, 1200 Sint-Lambrechts-Woluwe, Belgium
| | - Mattias Lorentzon
- 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
| | - Eugene McCloskey
- 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
| | - Dan Mellström
- Centre for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anne B Newman
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Claes Ohlsson
- 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
| | - Eric Orwoll
- Oregon Health & Science University, Portland, Oregon, USA
| | - Jean-Yves Reginster
- Protein Research Chair, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Eva Ribom
- Department of Surgical Sciences, University of Uppsala, Uppsala, Sweden
| | - Björn E Rosengren
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of Orthopedics, Skane University Hospital, Malmo, Sweden
| | - John T Schousboe
- Park Nicollet Clinic and HealthPartners Institute, Bloomington, Minnesota, USA
- University of Minnesota, Minneapolis, Minnesota, USA
| | - Elaine M Dennison
- 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
| | - Cyrus Cooper
- 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
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Gandham A, Gregori G, Johansson L, Johansson H, Harvey NC, Vandenput L, McCloskey E, Kanis JA, Litsne H, Axelsson K, Lorentzon M. Sarcopenia definitions and their association with fracture risk in older Swedish women. J Bone Miner Res 2024; 39:453-461. [PMID: 38477811 PMCID: PMC11262149 DOI: 10.1093/jbmr/zjae026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 01/18/2024] [Accepted: 01/25/2024] [Indexed: 03/14/2024]
Abstract
The purpose of this study was to investigate the prevalence of three sarcopenia definitions and their associations with fracture risk in older Swedish women when adjusted for fracture risk assessment (FRAX)-based risk factors; 2,883 women with a mean age of 77.8 years were included. Sarcopenia was defined based on the Sarcopenia Definitions and Outcomes Consortium (SDOC; low handgrip strength [kg] and gait speed (m/s)), revised European Working Group on Sarcopenia in Older People (EWGSOP2; low appendicular lean mass index, appendicular lean mass [ALM]/height; kg/m2], and hand grip strength [kg]), and Asian Working Group for Sarcopenia (AWGS; low ALM (kg), and hand grip strength [kg]) definitions. Femoral neck T-score was obtained from dual-energy X-ray absorptiometry. All fractures, confirmed by X-ray or medical record review, were subsequently categorized as major osteoporotic fractures (MOFs) and hip fractures. Deaths were verified through regional registers. The total follow-up time was 6.4 ± 1.3 (mean ± SD) yr. Cox regression (hazard ratios [HR] and 95% CIs) analyses were performed with adjustment for age, FRAX variables, and femoral neck T-score. Sarcopenia prevalence was 4.5% (n = 129) according to SDOC, 12.5% (n = 360) for EWGSOP2, and 10.3% (n = 296) defined by AWGS. Individuals with sarcopenia defined by SDOC had a higher mortality risk than individuals without sarcopenia (HR: 3.41; 95% CI: 2.51, 4.62) after adjusting for age and FRAX variables. Sarcopenia according to EWGSOP2 and AWGS was not associated with an increased fracture risk after adjusting for age and FRAX variables. Individuals with sarcopenia defined by SDOC had a higher risk for any fractures (HR: 1.48; 95% CI: 1.10, 1.99) and MOF (HR: 1.42; 95% CI: 1.03, 1.98) compared with individuals without sarcopenia after adjusting for clinical risk factors used in FRAX. In conclusion, sarcopenia defined by SDOC, incorporating muscle function/strength, was the only sarcopenia definition associated with fracture risk in older women.
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Affiliation(s)
- Anoohya Gandham
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria 3168, Australia
| | - Giulia Gregori
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Goteborg 41345, Sweden
| | - Lisa Johansson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Goteborg 41345, Sweden
- Region Västra Götaland, Department of Orthopedics, Sahlgrenska University Hospital, Mölndal 43180, Sweden
| | - Helena Johansson
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Goteborg 41345, Sweden
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO166YD, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO166YD, United Kingdom
| | - Liesbeth Vandenput
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
| | - Eugene McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, S10 2RX, UK
- MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, University of Sheffield, S10 2RX, UK
| | - John A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO166YD, United Kingdom
| | - Henrik Litsne
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Goteborg 41345, Sweden
| | - Kristian Axelsson
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Goteborg 41345, Sweden
- Region Västra Götaland, Närhälsan Norrmalm, Health Centre, Skövde 54940, Sweden
| | - Mattias Lorentzon
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, University of Gothenburg, Goteborg 41345, Sweden
- Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, Sahlgrenska University Hospital, Mölndal 43180, Sweden
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Alajlouni DA, Bliuc D, Tran TS, Blank RD, Center JR. Muscle strength and physical performance contribute to and improve fracture risk prediction in older people: A narrative review. Bone 2023; 172:116755. [PMID: 37028582 DOI: 10.1016/j.bone.2023.116755] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/20/2023] [Accepted: 03/31/2023] [Indexed: 04/09/2023]
Abstract
Osteoporotic fractures present a major health problem with an increasing prevalence in older people. Fractures are associated with premature mortality, reduced quality of life, subsequent fracture, and increased costs. Hence, it is crucial to identify those at higher risk of fracture. Fracture risk assessment tools incorporated clinical risk factors to improve fracture predictive power over BMD alone. However, fracture risk prediction using these algorithms remains suboptimal, warranting further improvement. Muscle strength and physical performance measurements have been associated with fracture risk. In contrast, the contribution of sarcopenia, the composite condition of low muscle mass, muscle strength and/or physical performance, to fracture risk is unclear. It is uncertain whether this is due to the problematic definition of sarcopenia per se or limitations of the diagnostic tools and cut-off points of the muscle mass component. The recent position statement from the Sarcopenia Definition and Outcomes Consortium confirmed the inclusion of muscle strength and performance in the definition of sarcopenia but not DXA-assessed lean mass. Therefore, clinicians should focus on functional assessment (muscle strength and performance) rather than muscle mass, at least as assessed by DXA, as predictors of fractures. Muscle strength and performance are modifiable risk factors. Resistance exercise improves muscle parameters in the elderly, potentially leading to reduced risk of falls and fractures in the general population and in those who sustained a fracture. Therapists may consider exercise intervention to improve muscle parameters and potentially reduce the risk of fractures. The aim of this review was to explore 1) the contribution of muscle parameters (i.e., muscle mass, strength, and physical performance) to fracture risk in older adults, and 2) the added predictive accuracy of these parameters beyond the existing fracture assessment tools. These topics provide the rationale for investigating strength and physical performance interventions to reduce fracture risk. Most of the included publications showed that muscle mass is not a good predictor of fracture risk, while poor muscle strength and performance are associated with an increased risk of fracture, particularly in men, independent of age, BMD, and other risk factors for fractures. Muscle strength and performance can potentially improve the predictive accuracy in men beyond that obtained by the fracture risk assessment tools, Garvan FRC and FRAX.
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Affiliation(s)
- Dima A Alajlouni
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia.
| | - Dana Bliuc
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia.
| | - Thach S Tran
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia; School of Biomedical Engineering, University of Technology, Sydney, New South Wales, Australia.
| | - Robert D Blank
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Jacqueline R Center
- Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales, Australia.
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Westbury LD, Beaudart C, Bruyère O, Cauley JA, Cawthon P, Cruz‐Jentoft AJ, Curtis EM, Ensrud K, Fielding RA, Johansson H, Kanis JA, Karlsson MK, Lane NE, Lengelé L, Lorentzon M, McCloskey E, Mellström D, Newman AB, Ohlsson C, Orwoll E, Reginster J, Ribom E, Rosengren BE, Schousboe JT, Shiroma EJ, Harvey NC, Dennison EM, Cooper C, the International Musculoskeletal Ageing Network. Recent sarcopenia definitions-prevalence, agreement and mortality associations among men: Findings from population-based cohorts. J Cachexia Sarcopenia Muscle 2023; 14:565-575. [PMID: 36604970 PMCID: PMC9891989 DOI: 10.1002/jcsm.13160] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/25/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND The 2019 European Working Group on Sarcopenia in Older People (EWGSOP2) and the Sarcopenia Definitions and Outcomes Consortium (SDOC) have recently proposed sarcopenia definitions. However, comparisons of the performance of these approaches in terms of thresholds employed, concordance in individuals and prediction of important health-related outcomes such as death are limited. We addressed this in a large multinational assembly of cohort studies that included information on lean mass, muscle strength, physical performance and health outcomes. METHODS White men from the Health Aging and Body Composition (Health ABC) Study, Osteoporotic Fractures in Men (MrOS) Study cohorts (Sweden, USA), the Hertfordshire Cohort Study (HCS) and the Sarcopenia and Physical impairment with advancing Age (SarcoPhAge) Study were analysed. Appendicular lean mass (ALM) was ascertained using DXA; muscle strength by grip dynamometry; and usual gait speed over courses of 2.4-6 m. Deaths were recorded and verified. Definitions of sarcopenia were as follows: EWGSOP2 (grip strength <27 kg and ALM index <7.0 kg/m2 ), SDOC (grip strength <35.5 kg and gait speed <0.8 m/s) and Modified SDOC (grip strength <35.5 kg and gait speed <1.0 m/s). Cohen's kappa statistic was used to assess agreement between original definitions (EWGSOP2 and SDOC). Presence versus absence of sarcopenia according to each definition in relation to mortality risk was examined using Cox regression with adjustment for age and weight; estimates were combined across cohorts using random-effects meta-analysis. RESULTS Mean (SD) age of participants (n = 9170) was 74.3 (4.9) years; 5929 participants died during a mean (SD) follow-up of 12.1 (5.5) years. The proportion with sarcopenia according to each definition was EWGSOP2 (1.1%), SDOC (1.7%) and Modified SDOC (5.3%). Agreement was weak between EWGSOP2 and SDOC (κ = 0.17). Pooled hazard ratios (95% CI) for mortality for presence versus absence of each definition were EWGSOP2 [1.76 (1.42, 2.18), I2 : 0.0%]; SDOC [2.75 (2.28, 3.31), I2 : 0.0%]; and Modified SDOC [1.93 (1.54, 2.41), I2 : 58.3%]. CONCLUSIONS There was low prevalence and poor agreement among recent sarcopenia definitions in community-dwelling cohorts of older white men. All indices of sarcopenia were associated with mortality. The strong relationship between sarcopenia and mortality, regardless of the definition, illustrates that identification of appropriate management and lifecourse intervention strategies for this condition is of paramount importance.
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Affiliation(s)
- Leo D. Westbury
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Charlotte Beaudart
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health EconomicsUniversity of LiègeLiègeBelgium
| | - Olivier Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health EconomicsUniversity of LiègeLiègeBelgium
| | - Jane A. Cauley
- Department of Epidemiology, School of Public HealthUniversity of PittsburghPittsburghPAUSA
| | - Peggy Cawthon
- Research InstituteCalifornia Pacific Medical CenterSan FranciscoCAUSA
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCAUSA
| | | | | | - Kristine Ensrud
- Medicine and Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMNUSA
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care SystemMinneapolisMNUSA
| | - Roger A. Fielding
- Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center on AgingTufts UniversityBostonMAUSA
| | - Helena Johansson
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Institute of MedicineUniversity of GothenburgGothenburgSweden
| | - John A. Kanis
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
| | - Magnus K. Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of OrthopedicsSkane University HospitalMalmoSweden
| | - Nancy E. Lane
- Division of Rheumatology, Department of Internal MedicineUC Davis HealthSacramentoCAUSA
| | - Laetitia Lengelé
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health EconomicsUniversity of LiègeLiègeBelgium
| | - Mattias Lorentzon
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Geriatric Medicine, Institute of Medicine, Sahlgrenska AcademySahlgrenska University HospitalMölndalSweden
| | - Eugene McCloskey
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Centre for Integrated Research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone ResearchUniversity of SheffieldSheffieldUK
| | - Dan Mellström
- Centre for Bone and Arthritis Research (CBAR), Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Anne B. Newman
- Department of Epidemiology, School of Public HealthUniversity of PittsburghPittsburghPAUSA
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research at the Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Region Västra GötalandSahlgrenska University Hospital, Department of Drug TreatmentGothenburgSweden
| | - Eric Orwoll
- Oregon Health & Science UniversityPortlandORUSA
| | - Jean‐Yves Reginster
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health EconomicsUniversity of LiègeLiègeBelgium
| | - Eva Ribom
- Department of Surgical SciencesUniversity of UppsalaUppsalaSweden
| | - Björn E. Rosengren
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of OrthopedicsSkane University HospitalMalmoSweden
| | - John T. Schousboe
- Park Nicollet Clinic and HealthPartners InstituteBloomingtonMNUSA
- University of MinnesotaMinneapolisMNUSA
| | - Eric J. Shiroma
- Laboratory of Epidemiology and Population Sciences, Intramural Research ProgramNational Institute on AgingBaltimoreMDUSA
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Elaine M. Dennison
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- Victoria University of WellingtonWellingtonNew Zealand
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- NIHR Oxford Biomedical Research CentreUniversity of OxfordOxfordUK
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Nahas PC, de Branco FMS, Azeredo CM, Rinaldi AEM, de Oliveira EP. Serum uric acid is not associated with appendicular muscle mass index in young and middle-aged adults: Results from NHANES 2011-2012. Clin Nutr ESPEN 2022; 52:262-269. [PMID: 36513464 DOI: 10.1016/j.clnesp.2022.08.034] [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: 05/24/2022] [Revised: 07/25/2022] [Accepted: 08/31/2022] [Indexed: 01/28/2023]
Abstract
BACKGROUND Recent studies have evaluated the association between uric acid (UA) and muscle mass in older adults; however, little is known about this relationship in young and middle-aged individuals. Our aim was to investigate whether serum UA is associated with appendicular muscle mass index (AMMI) in young and middle-aged individuals. We also aimed to evaluate whether this association is sex-specific. METHODS A cross-sectional study was performed with young and middle-aged individuals aged from 20 to 59 years from National Health and Nutrition Examination Survey (NHANES) 2011-2012. A total of 2255 individuals (1440 young and 815 middle-aged individuals; 1167 men and 1088 women) were evaluated. Body composition was assessed by Dual Energy X-ray absorptiometry (DXA) and AMMI was calculated using the arms plus legs lean mass divided by the height squared. UA levels were measured by colorimetric method. Regression analyzes were performed to evaluate whether AMMI is associated with the tertiles of UA levels after adjustments for potential confounders. RESULTS In the unadjusted analyzes, serum UA was positively associated with AMMI for total sample, young, and middle-aged individuals of both sexes. However, after adjustments for confounders, UA levels were no longer associated with AMMI independent of the age-rage and sex. CONCLUSION Serum UA is not associated with AMMI in young or middle-aged individuals independent of the sex.
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Affiliation(s)
- Paula C Nahas
- Laboratory of Nutrition, Exercise and Health (LaNES), School of Medicine, Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil
| | - Flávia M S de Branco
- Laboratory of Nutrition, Exercise and Health (LaNES), School of Medicine, Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil
| | - Catarina M Azeredo
- School of Medicine, Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil
| | - Ana Elisa M Rinaldi
- School of Medicine, Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil
| | - Erick P de Oliveira
- Laboratory of Nutrition, Exercise and Health (LaNES), School of Medicine, Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil.
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7
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Harvey NC, Orwoll E, Cauley JA, Kwok T, Karlsson MK, Rosengren BE, Ribom E, Cawthon PM, Ensrud K, Liu E, Laskou F, Ward KA, Dennison EM, Cooper C, Kanis JA, Vandenput L, Lorentzon M, Ohlsson C, Mellström D, Johansson H, McCloskey E. Greater pQCT Calf Muscle Density Is Associated with Lower Fracture Risk, Independent of FRAX, Falls and BMD: A Meta-Analysis in the Osteoporotic Fractures in Men (MrOS) Study. JBMR Plus 2022; 6:e10696. [PMID: 36530188 PMCID: PMC9751652 DOI: 10.1002/jbm4.10696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 10/26/2022] [Indexed: 11/11/2022] Open
Abstract
We investigated the predictive performance of peripheral quantitative computed tomography (pQCT) measures of both calf muscle density (an established surrogate for muscle adiposity, with higher values indicating lower muscle adiposity and higher muscle quality) and size (cross-sectional area [CSA]) for incident fracture. pQCT (Stratec XCT2000/3000) measurements at the tibia were undertaken in Osteoporotic Fractures in Men (MrOS) United States (US), Hong Kong (HK), and Swedish (SW) cohorts. Analyses were by cohort and synthesized by meta-analysis. The predictive value for incident fracture outcomes, illustrated here for hip fracture (HF), using an extension of Poisson regression adjusted for age and follow-up time, was expressed as hazard ratio (HR) per standard deviation (SD) increase in exposure (HR/SD). Further analyses adjusted for femoral neck (fn) bone mineral density (BMD) T-score, Fracture Risk Assessment Tool (FRAX) 10-year fracture probability (major osteoporotic fracture) and prior falls. We studied 991 (US), 1662 (HK), and 1521 (SW) men, mean ± SD age 77.0 ± 5.1, 73.9 ± 4.9, 80 ± 3.4 years, followed for a mean ± SD 7.8 ± 2.2, 8.1 ± 2.3, 5.3 ± 2.0 years, with 31, 47, and 78 incident HFs, respectively. Both greater muscle CSA and greater muscle density were associated with a lower risk of incident HF [HR/SD: 0.84; 95% confidence interval [CI], 0.72-1.0 and 0.78; 95% CI, 0.66-0.91, respectively]. The pattern of associations was not materially changed by adjustment for prior falls or FRAX probability. In contrast, after inclusion of fn BMD T-score, the association for muscle CSA was no longer apparent (1.04; 95% CI, 0.88-1.24), whereas that for muscle density was not materially changed (0.69; 95% CI, 0.59-0.82). Findings were similar for osteoporotic fractures. pQCT measures of greater calf muscle density and CSA were both associated with lower incidence of fractures in older men, but only muscle density remained an independent risk factor for fracture after accounting for fn BMD. These findings demonstrate a complex interplay between measures of bone, muscle size, and quality, in determining fracture risk. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Nicholas C. Harvey
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Eric Orwoll
- Division of Endocrinology, Diabetes and Clinical Nutrition, School of MedicineOregon Health & Science UniversityPortlandORUSA
| | - Jane A. Cauley
- Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghPittsburghPAUSA
| | - Timothy Kwok
- Department of Medicine & Therapeutics and School of Public HealthThe Chinese University of Hong KongShatinChina
| | - Magnus K. Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences MalmoLund University and Department of Orthopedics, Skane University HospitalMalmoSweden
| | - Björn E. Rosengren
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences MalmoLund University and Department of Orthopedics, Skane University HospitalMalmoSweden
| | - Eva Ribom
- Department of Surgical SciencesUniversity of UppsalaUppsalaSweden
| | - Peggy M. Cawthon
- Research InstituteCalifornia Pacific Medical CenterSan FranciscoCAUSA
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCAUSA
| | - Kristine Ensrud
- Medicine and Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMNUSA
- Center for Care Delivery and Outcomes ResearchMinneapolis VA Health Care SystemMinneapolisMNUSA
| | - Enwu Liu
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
| | - Faidra Laskou
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Kate A. Ward
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Elaine M. Dennison
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- NIHR Oxford Biomedical Research CentreUniversity of OxfordOxfordUK
| | - John A. Kanis
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
| | - Liesbeth Vandenput
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Mattias Lorentzon
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Claes Ohlsson
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Dan Mellström
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Helena Johansson
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Eugene McCloskey
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Centre for Integrated Research into Musculoskeletal Ageing (CIMA), Mellanby Centre for Musculoskeletal ResearchUniversity of SheffieldSheffieldUK
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8
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Chuan F, Chen S, Ye X, Kang S, Mei M, Tian W, Liao K, Li Y, Gong L, Li R, Zhou B. Sarcopenic obesity predicts negative health outcomes among older patients with type 2 diabetes: The Ageing and Body Composition of Diabetes (ABCD) cohort study. Clin Nutr 2022; 41:2740-2748. [PMID: 36370663 DOI: 10.1016/j.clnu.2022.10.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 10/20/2022] [Accepted: 10/31/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND AND AIMS The definition of and diagnostic criteria for sarcopenic obesity (SO) remain unclear, hindering the assessment of its prevalence as well as its clinical relevance to negative health outcomes, especially in diabetic patients, who are more prone to body composition changes. The aim of this study was to investigate the prevalence of SO and its impact on negative health outcomes among elderly patients with type 2 diabetes (T2DM) from the Ageing and Body Composition of Diabetes (ABCD) cohort. METHODS This retrospective cohort study included 386 elderly patients with T2DM (177 males and 209 females, mean age of 67.91 ± 6.10 years). SO was defined as the coexistence of sarcopenia defined by the 2019 Asian Working Group for Sarcopenia up-to-date consensus and obesity identified by five alternative measurements as follows: body mass index (BMI)≥28 kg/m2 (BMI28), BMI≥25 kg/m2 (BMI25), body fat percentage (BF%)≥25% for men or 35% for women, visceral fat area (VFA)≥100 cm2, or android fat mass (AF) higher than the sex-specific median. The primary endpoint was all-cause death or fragility fracture, and the secondary endpoint was a composite of cardiovascular diseases (CVDs). Cox proportional hazards regression analysis was used to estimate the association between SO and negative health outcomes. RESULTS The prevalence of SO was 0.2% (BMI28), 2.5% (BMI25), 9.8% (AF), and 18.7% (BF% or VFA) among elderly patients with T2DM, according to the different obesity surrogate markers. During a mean follow-up period of 3.46 ± 1.15 years, 50 patients reached the primary endpoint, and 33 patients had incident CVD. SO classified using BF% was significantly associated with the primary endpoint [hazard ratio (HR) = 2.94, 95% CI = 1.25-6.92] and incident CVD (HR = 6.02, 95% CI = 1.56-23.15), even after comprehensive adjustment for bone-, comorbidity-, and diabetes-specific confounding variables. When SO was classified using BMI25, VFA and AF, similar results were found for adverse outcomes. However, SO classified using BMI25 resulted in misclassification of SO for 61 participants, 19 of whom experienced adverse events during follow-up, and SO classified using VFA or AF was not significantly associated with incident CVD. CONCLUSIONS SO is not uncommon in geriatric patients with T2DM, and its prevalence varies widely depending on the diverse surrogate indices of body fat excess. Furthermore, SO may be a better independent risk factor for negative health outcomes when classified using BF%.
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Affiliation(s)
- Fengning Chuan
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Endocrinology, Chongqing University Fuling Hospital, Chongqing, China
| | - Siyu Chen
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xin Ye
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shuang Kang
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mei Mei
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wenqing Tian
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Kun Liao
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ying Li
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lilin Gong
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Rong Li
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Bo Zhou
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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9
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de Almeida Marques Bernabé R, de Souza Vieira M, Felício de Souza V, Gomes Fontana L, Albergaria BH, Marques-Rocha JL, Guandalini VR. Muscle strength is associated with fracture risk obtained by fracture risk assessment tool (FRAX) in women with breast cancer. BMC Cancer 2022; 22:1115. [PMID: 36320019 PMCID: PMC9623985 DOI: 10.1186/s12885-022-10203-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 10/20/2022] [Indexed: 11/05/2022] Open
Abstract
Background Women with breast cancer are at risk for the development of sarcopenia and occurrence of fractures. The initial and periodic screening of these conditions can prevent the risks of disability, poor quality of life, and death. The present study investigated the association between sarcopenia phenotypes and fracture risk, assessed by the Fracture Risk Assessment Tool (FRAX) in women with breast cancer. Methods Cross-sectional study. It included women aged between 40 and 80 years, diagnosed with Luminal subtype breast cancer, with time of diagnosis ≤ 12 months, who had not started endocrine therapy, did not have metastasis, had not been treated for another malignancy, and had no recurrences. Sociodemographic, habits and lifestyle, clinical, anthropometric, and body composition variables were considered. Muscle strength, skeletal muscle mass, and physical performance were investigated using handgrip strength (HGS), appendicular skeletal muscle mass index (ASMI), and Timed Up and Go test (TUGT), respectively. Fracture risk was assessed using FRAX. Multiple linear regression models were conducted to verify the association between exposure variables and sarcopenia phenotypes. A significance level of p < 0.05 was adopted for all tests using the SPPS 25.0 program. Results Sixty-two women with a mean age of 58.1 ± 10.4 years were evaluated. Of these, 66.1% self-declared to be non-white, 41.9% and 71.0% did not consume alcohol or smoke, respectively, and 61.3% were insufficiently active. A total of 45.2% had clinical stage II carcinoma and 65.5% had the invasive breast carcinoma histological subtype. There was a predominance of adequacy of HGS (88.7%), ASMI (94.5%), and TUGT (96.8%), as well as low risk of hip fractures (85.5%) and major fractures (82.3%). HGS remained associated with FRAX hip fractures (p = 0.007) and FRAX major fractures (p = 0.007) in the adjusted models, while ASMI was associated with body mass (p < 0.001). Conclusions Low muscle strength was the sarcopenia phenotype that remained associated with fracture risk in women with breast cancer, independently of sociodemographic factors, level of physical activity, and clinical factors. In addition to the assessment of probable sarcopenia, this measurement may point out the risk of fractures.
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Affiliation(s)
- Rayne de Almeida Marques Bernabé
- grid.412371.20000 0001 2167 4168Postgraduate Program in Nutrition and Health, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468 – Maruípe, Vitória CEP: 29040-090 Espírito Santo, Brazil
| | - Mariana de Souza Vieira
- grid.412371.20000 0001 2167 4168Postgraduate Program in Nutrition and Health, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468 – Maruípe, Vitória CEP: 29040-090 Espírito Santo, Brazil
| | - Vanusa Felício de Souza
- grid.412371.20000 0001 2167 4168Postgraduate Program in Nutrition and Health, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468 – Maruípe, Vitória CEP: 29040-090 Espírito Santo, Brazil
| | - Luana Gomes Fontana
- grid.412371.20000 0001 2167 4168Department of Integrated Health Education, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468 – Maruípe, Espírito Santo, Vitória CEP: 29040-090 Brazil
| | - Ben-Hur Albergaria
- grid.412371.20000 0001 2167 4168Department of Social Medicine, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468 - Maruípe, Espírito Santo, Vitória CEP: 29040-090 Brazil
| | - José Luiz Marques-Rocha
- grid.412371.20000 0001 2167 4168Postgraduate Program in Nutrition and Health, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468 – Maruípe, Vitória CEP: 29040-090 Espírito Santo, Brazil ,grid.412371.20000 0001 2167 4168Department of Integrated Health Education, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468 – Maruípe, Espírito Santo, Vitória CEP: 29040-090 Brazil
| | - Valdete Regina Guandalini
- grid.412371.20000 0001 2167 4168Postgraduate Program in Nutrition and Health, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468 – Maruípe, Vitória CEP: 29040-090 Espírito Santo, Brazil ,grid.412371.20000 0001 2167 4168Department of Integrated Health Education, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468 – Maruípe, Espírito Santo, Vitória CEP: 29040-090 Brazil
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10
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Harris RJ, Parimi N, Cawthon PM, Strotmeyer ES, Boudreau RM, Brach JS, Kwoh CK, Cauley JA. Associations of components of sarcopenia with risk of fracture in the Osteoporotic Fractures in Men (MrOS) study. Osteoporos Int 2022; 33:1815-1821. [PMID: 35380213 PMCID: PMC10011872 DOI: 10.1007/s00198-022-06390-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 03/28/2022] [Indexed: 10/18/2022]
Abstract
Our aim was to evaluate the associations between the individual components of sarcopenia and fracture types. In this cohort, the risk of experiencing any clinical, hip, or major osteoporotic fracture is greater in men with slow walking speed in comparison to normal walking speed. INTRODUCTION The association between the components of sarcopenia and fractures has not been clearly elucidated and has hindered the development of appropriate therapeutic interventions. Our aim was to evaluate the associations between the individual components of sarcopenia, specifically lean mass, strength, and physical performance and fracture (any fracture, hip fracture, major osteoporotic fracture) in the Osteoporotic Fractures in Men (MrOS) study. METHODS The Osteoporotic Fractures in Men study (MrOS) recruited 5995 men ≥ 65 years of age. We measured appendicular lean mass (ALM) by dual-energy X-ray absorptiometry (low as residual value < 20th percentile for the cohort), walking speed (fastest trial of usual pace, values < 0.8 m/s were low), and grip strength (max score of 2 trials, values < 30 kg were low). Information on fractures was assessed tri-annually over an average follow-up of 12 years and centrally adjudicated. Cox proportional hazard models estimated the hazard ratio (HR) (95% confidence intervals) for slow walking speed, low grip strength, and low lean mass. RESULTS Overall, 1413 men had a fracture during follow-up. Slow walking speed was associated with an increased risk for any HR = 1.39, 1.05-1.84; hip HR = 2.37, 1.54-3.63; and major osteoporotic, HR = 1.89, 1.34-2.67 in multi-variate-adjusted models. Low lean mass and low grip strength were not significantly associated with fracture. CONCLUSIONS In this cohort of older adult men, the risk of experiencing any, hip, or major osteoporotic fracture is greater in men with slow walking speed in comparison to men with normal walking speed, but low grip strength and low lean mass were not associated with fracture.
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Affiliation(s)
- R J Harris
- Department of Epidemiology Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA, USA.
- VA Boston Healthcare System, Boston, MA, USA.
| | - N Parimi
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - P M Cawthon
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - E S Strotmeyer
- Department of Epidemiology Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA, USA
| | - R M Boudreau
- Department of Epidemiology Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA, USA
| | - J S Brach
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, USA
| | - C K Kwoh
- Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - J A Cauley
- Department of Epidemiology Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA, USA
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11
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Cawthon PM, Peters KE, Cummings SR, Orwoll ES, Hoffman AR, Ensrud KE, Cauley JA, Evans WJ. Association Between Muscle Mass Determined by D 3 -Creatine Dilution and Incident Fractures in a Prospective Cohort Study of Older Men. J Bone Miner Res 2022; 37:1213-1220. [PMID: 35253257 PMCID: PMC9283198 DOI: 10.1002/jbmr.4505] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 12/10/2021] [Accepted: 01/12/2022] [Indexed: 11/05/2022]
Abstract
The relation between a novel measure of total skeletal muscle mass (assessed by D3 -creatine dilution [D3 Cr]) and incident fracture is unknown. In 1363 men (mean age 84.2 years), we determined D3 Cr muscle mass; Fracture Risk Assessment Tool (FRAX) 10-year probability of hip and major osteoporotic (hip, humerus, vertebral, forearm) fracture; and femoral neck bone mineral density (BMD) (by dual-energy X-ray absorptiometry [DXA]). Incident fractures were centrally adjudicated by review of radiology reports over 4.6 years. Correlations adjusted for weight and height were calculated between femoral neck BMD and D3 Cr muscle mass. Across quartiles of D3 Cr muscle mass/weight, proportional hazards models calculated hazard ratios (HRs) for any (n = 180); nonspine (n = 153); major osteoporotic fracture (n = 85); and hip fracture (n = 40) after adjustment for age, femoral neck BMD, recurrent fall history, and FRAX probability. Models were then adjusted to evaluate the mediating influence of physical performance (walking speed, chair stands, and grip strength). D3 Cr muscle mass was weakly correlated with femoral BMD (r = 0.10, p < 0.001). Compared to men in the highest quartile, those in the lowest quartile of D3 Cr muscle mass/weight had an increased risk of any clinical fracture (HR 1.8; 95% confidence interval [CI], 1.1-2.8); nonspine fracture (HR 1.8; 95% CI, 1.1-3.0), major osteoporotic fracture (HR 2.3; 95% CI, 1.2-4.6), and hip fracture (HR 5.9; 95% CI, 1.6-21.1). Results were attenuated after adjustment for physical performance, but associations remained borderline significant for hip and major osteoporotic fractures (p ≥ 0.05 to 0.10). Low D3 Cr muscle mass/weight is associated with a markedly high risk of hip and potentially other fractures in older men; this association is partially mediated by physical performance. © 2022 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Peggy M Cawthon
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Katherine E Peters
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - Steven R Cummings
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Eric S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | | | - Kristine E Ensrud
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA.,Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.,Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Jane A Cauley
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - William J Evans
- Nutritional Sciences & Toxicology, University of California, Berkeley, CA, USA.,Department of Medicine, Duke University, Durham, NC, USA
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12
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Harvey NC, Orwoll E, Kwok T, Karlsson MK, Rosengren BE, Ribom E, Cauley JA, Cawthon PM, Ensrud K, Liu E, Cruz-Jentoft AJ, Fielding RA, Cooper C, Kanis JA, Lorentzon M, Ohlsson C, Mellström D, Johansson H, McCloskey E. Sarcopenia Definitions as Predictors of Fracture Risk Independent of FRAX ® , Falls, and BMD in the Osteoporotic Fractures in Men (MrOS) Study: A Meta-Analysis. J Bone Miner Res 2021; 36:1235-1244. [PMID: 33831257 PMCID: PMC7611727 DOI: 10.1002/jbmr.4293] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 03/01/2021] [Accepted: 03/16/2021] [Indexed: 12/11/2022]
Abstract
Dual-energy X-ray absorptiometry (DXA)-derived appendicular lean mass/height2 (ALM/ht2 ) is the most commonly used estimate of muscle mass in the assessment of sarcopenia, but its predictive value for fracture is substantially attenuated by femoral neck (fn) bone mineral density (BMD). We investigated predictive value of 11 sarcopenia definitions for incident fracture, independent of fnBMD, fracture risk assessment tool (FRAX® ) probability, and prior falls, using an extension of Poisson regression in US, Sweden, and Hong Kong Osteoporois Fractures in Men Study (MrOS) cohorts. Definitions tested were those of Baumgartner and Delmonico (ALM/ht2 only), Morley, the International Working Group on Sarcopenia, European Working Group on Sarcopenia in Older People (EWGSOP1 and 2), Asian Working Group on Sarcopenia, Foundation for the National Institutes of Health (FNIH) 1 and 2 (using ALM/body mass index [BMI], incorporating muscle strength and/or physical performance measures plus ALM/ht2 ), and Sarcopenia Definitions and Outcomes Consortium (gait speed and grip strength). Associations were adjusted for age and time since baseline and reported as hazard ratio (HR) for first incident fracture, here major osteoporotic fracture (MOF; clinical vertebral, hip, distal forearm, proximal humerus). Further analyses adjusted additionally for FRAX-MOF probability (n = 7531; calculated ± fnBMD), prior falls (y/n), or fnBMD T-score. Results were synthesized by meta-analysis. In 5660 men in USA, 2764 Sweden and 1987 Hong Kong (mean ages 73.5, 75.4, and 72.4 years, respectively), sarcopenia prevalence ranged from 0.5% to 35%. Sarcopenia status, by all definitions except those of FNIH, was associated with incident MOF (HR = 1.39 to 2.07). Associations were robust to adjustment for prior falls or FRAX probability (without fnBMD); adjustment for fnBMD T-score attenuated associations. EWGSOP2 severe sarcopenia (incorporating chair stand time, gait speed, and grip strength plus ALM) was most predictive, albeit at low prevalence, and appeared only modestly influenced by inclusion of fnBMD. In conclusion, the predictive value for fracture of sarcopenia definitions based on ALM is reduced by adjustment for fnBMD but strengthened by additional inclusion of physical performance measures. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Eric Orwoll
- Oregon Health & Science University, Portland, OR, USA
| | - Timothy Kwok
- Department of Medicine and Therapeutics and School of Public Health, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Magnus K Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of Orthopedics, Skane University Hospital, Malmo, Sweden
| | - Björn E Rosengren
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University and Department of Orthopedics, Skane University Hospital, Malmo, Sweden
| | - Eva Ribom
- Department of Surgical Sciences, University of Uppsala, Uppsala, Sweden
| | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peggy M Cawthon
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Kristine Ensrud
- Medicine and Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Enwu Liu
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | | | - Roger A Fielding
- Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, 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
| | - John A Kanis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - Mattias Lorentzon
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Center for Bone and Arthritis Research, Institute of Medicine, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Drug Treatment, Gothenburg, Sweden
| | - Dan Mellström
- Department of Internal Medicine and Clinical Nutrition, Center for Bone and Arthritis Research, Institute of Medicine, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Helena Johansson
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - Eugene McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Centre for Integrated research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
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13
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Harvey NC, Kanis JA, Liu E, Cooper C, Lorentzon M, Bea JW, Carbone L, Cespedes Feliciano EM, Laddu DR, Schnatz PF, Shadyab AH, Stefanick ML, Wactawski‐Wende J, Crandall CJ, Johansson H, McCloskey E. Predictive Value of DXA Appendicular Lean Mass for Incident Fractures, Falls, and Mortality, Independent of Prior Falls, FRAX, and BMD: Findings from the Women's Health Initiative (WHI). J Bone Miner Res 2021; 36:654-661. [PMID: 33450071 PMCID: PMC7610603 DOI: 10.1002/jbmr.4239] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 12/14/2020] [Accepted: 12/23/2020] [Indexed: 12/26/2022]
Abstract
In the Women's Health Initiative (WHI), we investigated associations between baseline dual-energy X-ray absorptiometry (DXA) appendicular lean mass (ALM) and risk of incident fractures, falls, and mortality (separately for each outcome) among older postmenopausal women, accounting for bone mineral density (BMD), prior falls, and Fracture Risk Assessment Tool (FRAX® ) probability. The WHI is a prospective study of postmenopausal women undertaken at 40 US sites. We used an extension of Poisson regression to investigate the relationship between baseline ALM (corrected for height2 ) and incident fracture outcomes, presented here for major osteoporotic fracture (MOF: hip, clinical vertebral, forearm, or proximal humerus), falls, and death. Associations were adjusted for age, time since baseline and randomization group, or additionally for femoral neck (FN) BMD, prior falls, or FRAX probability (MOF without BMD) and are reported as gradient of risk (GR: hazard ratio for first incident fracture per SD increment) in ALM/height2 (GR). Data were available for 11,187 women (mean [SD] age 63.3 [7.4] years). In the base models (adjusted for age, follow-up time, and randomization group), greater ALM/height2 was associated with lower risk of incident MOF (GR = 0.88; 95% confidence interval [CI] 0.83-0.94). The association was independent of prior falls but was attenuated by FRAX probability. Adjustment for FN BMD T-score led to attenuation and inversion of the risk relationship (GR = 1.06; 95% CI 0.98-1.14). There were no associations between ALM/height2 and incident falls. However, there was a 7% to 15% increase in risk of death during follow-up for each SD greater ALM/height2 , depending on specific adjustment. In WHI, and consistent with our findings in older men (Osteoporotic Fractures in Men [MrOS] study cohorts), the predictive value of DXA-ALM for future clinical fracture is attenuated (and potentially inverted) after adjustment for femoral neck BMD T-score. However, intriguing positive, but modest, associations between ALM/height2 and mortality remain robust. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Nicholas C Harvey
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - John A Kanis
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Mary McKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
| | - Enwu Liu
- Mary McKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- NIHR Biomedical Research CentreUniversity of OxfordOxfordUK
| | - Mattias Lorentzon
- Mary McKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Geriatric Medicine, Department of Internal Medicine and Clinical NutritionInstitute of Medicine, University of GothenburgGothenburgSweden
- Geriatric MedicineSahlgrenska University HospitalMölndalSweden
| | | | - Laura Carbone
- Department of Medicine, Division of Rheumatology, J Harold Harrison, MD, Distinguished University Chair in RheumatologyMedical College of Georgia at Augusta UniversityAugustaGAUSA
| | | | - Deepika R Laddu
- Department of Physical TherapyCollege of Applied Health Sciences, University of Illinois at ChicagoChicagoILUSA
| | | | | | - Marcia L Stefanick
- Department of Medicine (Stanford Prevention Research Center)Stanford School of Medicine, Stanford UniversityStanfordCAUSA
| | | | - Carolyn J Crandall
- David Geffen School of Medicine at the University of CaliforniaLos AngelesCAUSA
| | - Helena Johansson
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Mary McKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
| | - Eugene McCloskey
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Centre for Integrated Research in Musculoskeletal Ageing (CIMA)Mellanby Centre for Bone Research, University of SheffieldSheffieldUK
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14
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Alajlouni D, Bliuc D, Tran T, Eisman JA, Nguyen TV, Center JR. Decline in Muscle Strength and Performance Predicts Fracture Risk in Elderly Women and Men. J Clin Endocrinol Metab 2020; 105:5868761. [PMID: 32639571 DOI: 10.1210/clinem/dgaa414] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 07/06/2020] [Indexed: 02/08/2023]
Abstract
CONTEXT Muscle strength and performance are associated with fractures. However, the contribution of their rate of decline is unclear. OBJECTIVE To assess the independent contribution of the rate of decline in muscle strength and performance to fracture risk. DESIGN, SETTING, AND PARTICIPANTS Community-dwelling women (n = 811) and men (n = 440) aged 60 years or older from the prospective Dubbo Osteoporosis Epidemiology Study followed from 2000 to 2018 for incident fracture. Clinical data, appendicular lean mass/height2 (ht)2, bone mineral density, quadricep strength/ht (QS), timed get-up-and-go (TGUG), 5 times repeated sit-to-stand (5xSTS), and gait speed (GS) measured biennially. Rates of decline in muscle parameters were calculated using ordinary least squares regression and fracture risk was assessed using Cox's models. MAIN OUTCOME Incident low-trauma fracture ascertained by x-ray report. RESULTS Apart from lean mass in women, all muscle parameters declined over time. Greater rates of decline in physical performance were associated with increased fracture risk in women (Hazard ratios [HRs] ranging from 2.1 (95% CI: 1.5-2.9) for GS to 2.7 (95% CI: 1.9-3.6) for 5xSTS, while in men only the decline in GS was associated with fracture risk (HR: 3.4 [95% CI: 1.8-6.3]). Baseline performance and strength were also associated with increased fracture risk in men (HRs ranging from 1.8 (95% CI: 1.1-3.0) for QS to 2.5 (95% CI: 1.5-4.1) for TGUG, but not in women. CONCLUSION Rate of decline in physical performance in both genders, and baseline strength and performance in men, contributed independently to fracture risk. Sit-to-stand and GS were the tests most consistently associated with fractures. Further studies are required to determine whether muscle strength and/or performance improve the predictive accuracy of fracture prediction models.
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Affiliation(s)
- Dima Alajlouni
- Bone Biology, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Dana Bliuc
- Bone Biology, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Thach Tran
- Bone Biology, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - John A Eisman
- Bone Biology, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, New South Wales, Australia
| | - Tuan V Nguyen
- Bone Biology, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
- School of Biomedical Engineering, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Jacqueline R Center
- Bone Biology, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
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15
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Messina C, Albano D, Gitto S, Tofanelli L, Bazzocchi A, Ulivieri FM, Guglielmi G, Sconfienza LM. Body composition with dual energy X-ray absorptiometry: from basics to new tools. Quant Imaging Med Surg 2020; 10:1687-1698. [PMID: 32742961 DOI: 10.21037/qims.2020.03.02] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Dual-energy X-ray absorptiometry (DXA) in nowadays considered one of the most versatile imaging techniques for the evaluation of metabolic bone disorders such as osteoporosis, sarcopenia and obesity. The advantages of DXA over other imaging techniques are the very low radiation dose, its accuracy and simplicity of use. In addition, fat mass (FM) and lean mass (LM) values by DXA shows very good accuracy compared to that of computed tomography and magnetic resonance imaging. In this review we will explain the technical working principles of body composition with DXA, together with the possible limitations and pitfalls that should be avoided in daily routine to produce high-quality DXA examinations. We will also cover the current clinical practical application of whole body DXA values, with particular emphasis on the use of LM indices in the diagnostic workup of reduced muscle mass, sarcopenia and osteosarcopenic obesity according to the most recent guidelines. The possible use of adipose indices will be considered, such as the fat mass index (FMI) or the android/gynoid ratio, as well as lipodystrophy indices and the evaluation of visceral adipose tissue (VAT). Whenever available, we will provide possible cut-off diagnostic values for each of these LM and FM indices, according to current literature and guidelines.
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Affiliation(s)
- Carmelo Messina
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milano, Italy.,Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133, Milano, Italy
| | - Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milano, Italy.,Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università degli Studi di Palermo, 90127, Palermo, Italy
| | - Salvatore Gitto
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133, Milano, Italy
| | - Laura Tofanelli
- Scuola di Specializzazione in Radiodiagnostica, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milano, Italy
| | - Alberto Bazzocchi
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Via G. C. Pupilli 1, 40136, Bologna, Italy
| | - Fabio Massimo Ulivieri
- Bone Metabolic Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico. Medicina Nucleare, Via Francesco Sforza 35, 20122, Milano, Italy
| | - Giuseppe Guglielmi
- Department of Radiology, University of Foggia, Viale Luigi Pinto 1, 71100, Foggia, Italy.,Department of Radiology, Scientific Institute "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, Foggia, Italy
| | - Luca Maria Sconfienza
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milano, Italy.,Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133, Milano, Italy
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16
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Cawthon PM, Manini T, Patel SM, Newman A, Travison T, Kiel DP, Santanasto AJ, Ensrud KE, Xue QL, Shardell M, Duchowny K, Erlandson KM, Pencina KM, Fielding RA, Magaziner J, Kwok T, Karlsson M, Ohlsson C, Mellström D, Hirani V, Ribom E, Correa-de-Araujo R, Bhasin S. Putative Cut-Points in Sarcopenia Components and Incident Adverse Health Outcomes: An SDOC Analysis. J Am Geriatr Soc 2020; 68:1429-1437. [PMID: 32633824 PMCID: PMC7508260 DOI: 10.1111/jgs.16517] [Citation(s) in RCA: 162] [Impact Index Per Article: 32.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 02/24/2020] [Accepted: 04/05/2020] [Indexed: 01/06/2023]
Abstract
OBJECTIVES Analyses performed by the Sarcopenia Definitions and Outcomes Consortium (SDOC) identified cut-points in several metrics of grip strength for consideration in a definition of sarcopenia. We describe the associations between the SDOC-identified metrics of low grip strength (absolute or standardized to body size/composition); low dual-energy x-ray absorptiometry (DXA) lean mass as previously defined in the literature (appendicular lean mass [ALM]/ht2 ); and slowness (walking speed <.8 m/s) with subsequent adverse outcomes (falls, hip fractures, mobility limitation, and mortality). DESIGN Individual-level, sex-stratified pooled analysis. We calculated odds ratios (ORs) or hazard ratios (HRs) for incident falls, mobility limitation, hip fractures, and mortality. Follow-up time ranged from 1 year for falls to 8.8 ± 2.3 years for mortality. SETTING Eight prospective observational cohort studies. PARTICIPANTS A total of 13,421 community-dwelling men and 4,828 community-dwelling women. MEASUREMENTS Grip strength by hand dynamometry, gait speed, and lean mass by DXA. RESULTS Low grip strength (absolute or standardized to body size/composition) was associated with incident outcomes, usually independently of slowness, in both men and women. ORs and HRs generally ranged from 1.2 to 3.0 for those below vs above the cut-point. DXA lean mass was not consistently associated with these outcomes. When considered together, those who had both muscle weakness by absolute grip strength (<35.5 kg in men and <20 kg in women) and slowness were consistently more likely to have a fall, hip fracture, mobility limitation, or die than those without either slowness or muscle weakness. CONCLUSION Older men and women with both muscle weakness and slowness have a higher likelihood of adverse health outcomes. These results support the inclusion of grip strength and walking speed as components in a summary definition of sarcopenia. J Am Geriatr Soc 68:1429-1437, 2020.
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Affiliation(s)
- Peggy M. Cawthon
- Research Institute, California Pacific Medical Center, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | | | - Sheena M. Patel
- Research Institute, California Pacific Medical Center, San Francisco, California
| | - Anne Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Thomas Travison
- Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Douglas P. Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Adam J. Santanasto
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Kristine E. Ensrud
- Center for Chronic Disease Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Qian-Li Xue
- Division of Geriatric Medicine and Gerontology and Center on Aging and Health, Johns Hopkins Medical Institute, Baltimore, Maryland
| | - Michelle Shardell
- Longitudinal Studies Section, The National Institute on Aging, Baltimore, Maryland
| | - Kate Duchowny
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | | | - Karol M. Pencina
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Roger A. Fielding
- Nutrition, Exercise, Physiology, and Sarcopenia Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts
| | - Jay Magaziner
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
| | - Timothy Kwok
- Department of Medicine & Therapeutics and School of Public Health, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Shatin, Hong Kong
| | - Magnus Karlsson
- Department of Clinical Sciences in Malmo, Lund University, Malmo, Sweden
| | - Claes Ohlsson
- Centre of Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Dan Mellström
- Centre of Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Vasant Hirani
- Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Eva Ribom
- Department of surgical sciences, Orthopeadic Unit, Uppsala University, Uppsala, Sweden
| | | | - Shalender Bhasin
- Boston Claude D. Pepper Older Americans Independence Center, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
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17
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Koromani F, Trajanoska K, Rivadeneira F, Oei L. Recent Advances in the Genetics of Fractures in Osteoporosis. Front Endocrinol (Lausanne) 2019; 10:337. [PMID: 31231309 PMCID: PMC6559287 DOI: 10.3389/fendo.2019.00337] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Accepted: 05/10/2019] [Indexed: 12/15/2022] Open
Abstract
Genetic susceptibility, together with old age, female sex, and low bone mineral density (BMD) are amongst the strongest determinants of fracture risk. Tmost recent large-scale genome-wide association study (GWAS) meta-analysis has yielded fifteen loci. This review focuses on the advances in the research of genetic determinants of fracture risk. We first discuss the genetic architecture of fracture risk, touching upon different methods and overall findings. We then discuss in a second paragraph the most recent advances in the field and focus on the genetics of fracture risk and also of other endophenotypes closely related to fracture risk such as bone mineral density (BMD). Application of state-of-the-art methodology such as Mendelian randzation in fracture GWAS are reviewed. The final part of this review touches upon potential future directions in genetic research of osteoporotic fractures.
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Affiliation(s)
- Fjorda Koromani
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Ling Oei
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- *Correspondence: Ling Oei
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