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Strength, But Not Muscle Mass, Is Associated With Mortality in the Health, Aging and Body Composition Study Cohort

Published on Jan 1, 2006in Journals of Gerontology Series A-biological Sciences and Medical Sciences 4.90
· DOI :10.1093/gerona/61.1.72
A. B. Newman140
Estimated H-index: 140
(University of Pittsburgh),
Varant Kupelian3
Estimated H-index: 3
+ 6 AuthorsTamara B. Harris170
Estimated H-index: 170
(National Institutes of Health)
Abstract
Background. Although muscle strength and mass are highly correlated, the relationship between direct measures of low muscle mass (sarcopenia) and strength in association with mortality has not been examined. Methods. Total mortality rates were examined in the Health, Aging and Body Composition (Health ABC) Study in 2292 participants (aged 70–79 years, 51.6% women, and 38.8% black). Knee extension strength was measured with isokinetic dynamometry, grip strength with isometric dynamometry. Thigh muscle area was measured by computed tomography (CT) scan, and leg and arm lean soft tissue mass were determined by dual energy x-ray absorptiometry (DXA). Both strength and muscle size were assessed as in gender-specific Cox proportional hazards models, with age, race, comorbidities, smoking status, level of physical activity, fat area by CT or fat mass by DXA, height, and markers of inflammation, including interleukin-6, C-reactive protein, and tumor necrosis factor-a considered as potential confounders. Results. There were 286 deaths over an average of 4.9 (standard deviation ¼ 0.9) years of follow-up. Both quadriceps and grip strength were strongly related to mortality. For quadriceps strength (per standard deviation of 38 Nm), the crude hazard ratio for men was 1.51 (95% confidence interval, 1.28–1.79) and 1.65 (95% confidence interval, 1.19–2.30) for women. Muscle size, determined by either CT area or DXA regional lean mass, was not strongly related to mortality. In the models of quadriceps strength and mortality, adjustment for muscle area or regional lean mass only slightly attenuated the associations. Further adjustment for other factors also had minimal effect on the association of quadriceps strength with mortality. Associations of grip strength with mortality were similar. Conclusion. Low muscle mass did not explain the strong association of strength with mortality, demonstrating that muscle strength as a marker of muscle quality is more important than quantity in estimating mortality risk. Grip strength provided risk estimates similar to those of quadriceps strength.
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Published on Jan 1, 2019in BMC Musculoskeletal Disorders 2.00
Fredrik Eika2
Estimated H-index: 2
(Aalborg University),
Anders W Blomkvist (Aalborg University)+ 6 AuthorsMartin Grønbech Jørgensen9
Estimated H-index: 9
Background Accurate assessment of isometric hand grip strength (HGS) and isometric lower limb strength (LS) are often limited to specialized clinics due to high costs and need for specialized equipment and personnel. A mobile and user-friendly device would facilitate a wider use of these measures in the clinical setting. The Nintendo Wii Balance Board (WBB) is a novel and pragmatic tool that has been validated for measuring muscle strength and other clinically relevant physiological variables. H...
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Published on Feb 20, 2019in Scientific Reports 4.12
Hui Wang4
Estimated H-index: 4
(Sichuan University),
Shan Hai5
Estimated H-index: 5
(Sichuan University)
+ 2 AuthorsBirong Dong20
Estimated H-index: 20
(Sichuan University)
This study aimed to evaluate the association between skeletal muscle mass and long-term all-cause mortality among nonagenarians and centenarians in China. We used data from the Project of Longevity and Aging in Dujiangyan (PLAD). A total of 738 community-dwelling people aged ≥ 90 years (mean age of 93.5 ± 3.2 years) were analyzed in this study. The appendicular skeletal muscle mass (ASM) was estimated using a previously validated anthropometric equation. The information on the survival status wa...
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Published on Jan 30, 2019in BMC Public Health 2.42
Gyeo Woon Jeong1
Estimated H-index: 1
(Ewha Womans University),
You Jin Kim9
Estimated H-index: 9
(Ewha Womans University)
+ 2 AuthorsOran Kwon18
Estimated H-index: 18
(Ewha Womans University)
Background A single nutrient or dietary pattern has been associated with physical performance. However, little is still known about the association of overall dietary quality with physical performance. This study aimed to investigate the link between the recommended food score (RFS), defined as an indicator of overall diet quality, and physical performance among the Korean elderly aged over 65 years.
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Published on Jul 1, 2019in Experimental Gerontology 3.22
Mikko Björkman14
Estimated H-index: 14
(University of Helsinki),
Kaisu H. Pitkälä49
Estimated H-index: 49
(University of Helsinki)
+ 2 AuthorsReijo S. Tilvis53
Estimated H-index: 53
(University of Helsinki)
Abstract Objectives To assess the prognostic significance of various characteristics and measurements of sarcopenia and physical functioning on all-cause mortality among home-dwelling older people with or at-risk of sarcopenia. Design Cross-sectional and longitudinal analyses. Setting Porvoo sarcopenia trial in open care. Participants Community-dwelling people aged 75 and older (N = 428, of which 182 were re-examined at one year) with four years of follow-up. Measurements Body mass index (BMI), ...
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Published on Jun 1, 2019in Breast Cancer Research and Treatment 3.60
Kate A. Bolam9
Estimated H-index: 9
(Karolinska Institutet),
Sara Mijwel5
Estimated H-index: 5
(Karolinska Institutet)
+ 1 AuthorsYvonne Wengström22
Estimated H-index: 22
(Karolinska Institutet)
Purpose The aim of this study was to determine if there were any differences in health-related outcomes and physical activity (PA) between the two OptiTrain exercise groups and usual care (UC), 2 years post-baseline.
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Published on May 24, 2019in Frontiers in Nutrition
Sara Y. Oikawa5
Estimated H-index: 5
,
Tanya M. Holloway1
Estimated H-index: 1
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Stuart M. Phillips79
Estimated H-index: 79
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Annemarie Dijkhuizen2
Estimated H-index: 2
(University of Groningen),
Aly Waninge8
Estimated H-index: 8
(University of Groningen)
+ 2 AuthorsWim P. Krijnen16
Estimated H-index: 16
(University of Groningen)
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Peggy M. Cawthon46
Estimated H-index: 46
(University of California, San Francisco),
Eric S. Orwoll91
Estimated H-index: 91
(Oregon Health & Science University)
+ 12 AuthorsWilliam J. Evans88
Estimated H-index: 88
(University of California, Berkeley)
6 Citations Source Cite
Laura A. Schaap18
Estimated H-index: 18
(Public Health Research Institute)
2 Citations Source Cite