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Departments of 1 Medicine and 2 Epidemiology, University of Pittsburgh, Pennsylvania.
3 Laboratory for Epidemiology, Demography and Biometry, National Institute on Aging, Bethesda, Maryland.
4 The Sticht Center on Aging, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
5 Department of Epidemiology and Biostatistics, University of California, San Francisco.
6 Clinical Research Branch, National Institute on Aging, Baltimore, Maryland.
7 Department of Preventive Medicine, University of Tennessee, Memphis.
8 Institute for Research in Extramural Medicine, Vrije Universiteit, Amsterdam, The Netherlands.
Address correspondence to Bret H. Goodpaster, PhD, Department of Medicine, MUH-N809, University of Pittsburgh Medical Center, Pittsburgh, PA 15213. E-mail: bgood{at}pitt.edu
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Methods. Three-year changes in muscle mass and strength were determined in 1880 older adults in the Health, Aging and Body Composition Study. Knee extensor strength was measured by isokinetic dynamometry. Whole body and appendicular lean and fat mass were assessed by dual-energy x-ray absorptiometry and computed tomography.
Results. Both men and women lost strength, with men losing almost twice as much strength as women. Blacks lost about 28% more strength than did whites. Annualized rates of leg strength decline (3.4% in white men, 4.1% in black men, 2.6% in white women, and 3.0% in black women) were about three times greater than the rates of loss of leg lean mass (
1% per year). The loss of lean mass, as well as higher baseline strength, lower baseline leg lean mass, and older age, was independently associated with strength decline in both men and women. However, gain of lean mass was not accompanied by strength maintenance or gain (ß coefficients; men, 0.48 ± 4.61, p =.92, women, 1.68 ± 3.57, p =.64).
Conclusions. Although the loss of muscle mass is associated with the decline in strength in older adults, this strength decline is much more rapid than the concomitant loss of muscle mass, suggesting a decline in muscle quality. Moreover, maintaining or gaining muscle mass does not prevent aging-associated declines in muscle strength.
The Health, Aging and Body Composition (Health ABC) study was designed to prospectively determine the role of longitudinal changes in body composition in the risk of incident functional limitations in well-functioning community-dwelling older adults. This study aims to: (i) describe the change in muscle strength, mass, and quality over 3 years; and (ii) determine whether change in total and appendicular lean mass as well as body weight are related to change in muscle strength of older adults.
| METHODS |
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Body Composition
Total body and leg lean mass were assessed using DXA (Hologic QDR 4500, software version 8.21; Bedford, MA). The ability to measure small (
1%) changes in leg lean mass with DXA is quite good (21). Bone mineral content was subtracted from the total and regional lean mass to define total nonbone lean mass, which represents primarily skeletal muscle in the extremities (22). Total body fat mass and percent body fat was also measured. Thigh muscle cross-sectional area was measured at baseline by using CT. Muscle attenuation values were also measured as a marker of muscle composition (23). The testretest variability and the interobserver variability (four image analysts blinded to image identity) for skeletal muscle area are both small (coefficient of variation <5%).
Strength Assessments
Isokinetic knee extensor strength was measured (Kin-Com dynamometer, 125 AP; Chattanooga, TN) as described previously (20). The interexaminer, intrasubject, and combined coefficients of variation in strength examined in 63 participants were 4.8%, 10.7%, and 11.7%, respectively. Muscle quality (specific torque; Nm/kg) was defined as the ratio of strength (isokinetic torque in Nm) to leg lean mass (in kg) by DXA.
Other Covariates
Smoking status, physical activity (24), education, family income, and health status were considered as possible confounders of the associations between changes in body composition and changes in strength. General health status was assessed as the total number of 11 chronic health conditions, using self-report with confirmation by treatment and medications. These conditions included cancer, myocardial infarction, congestive heart failure, depression, diabetes, hypertension, knee osteoarthritis, osteoporosis, peripheral arterial disease, pulmonary disease, and gastrointestinal disease.
Analysis
The differences in strength and body composition between baseline and 36-month follow-up were assessed by paired t test and were expressed in both absolute (
; change) and proportional terms (% change). Two-way analysis of variance was used to determine gender, race, and interaction effects on the changes in muscle mass and strength. Simple correlations and multiple linear regressions were used to examine the relationship between baseline as well as changes in body composition parameters with changes in strength. The analyses were repeated within gender and adjusted for smoking status, physical activity, education, family income, and health status. All analyses were performed using SPSS (version 12.0.0; SPSS Inc., Chicago, IL) and SAS (version 8.02; SAS Institute, Inc., Cary, NC).
| RESULTS |
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leg torque) was almost 2-fold greater in men compared to women (p <.001). Within the same gender, blacks lost about 28% more strength than whites (p =.001). The proportional loss of strength (%
leg torque) was greater in men than in women, but was similar in blacks and whites. The changes in leg lean mass showed a similar pattern; men lost more leg lean mass than women, and blacks lost more leg lean mass than whites in both absolute and proportional terms.
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specific torque), suggesting that the loss of strength was similar across gender and race after controlling for the loss of lean mass.
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weight and %
weight) were significantly associated with strength decline in both men and women (p <.001). The changes in total and leg lean mass were significantly associated with changes in strength. However, the changes in total and leg fat mass were generally not associated with changes in strength. Men and women who lost more than 3% of their body weight over the 3 years (N = 263 for men and N = 270 for women) lost significantly more leg lean mass and strength than did those who either maintained (N = 492 for men and N = 457 for women) or gained (N = 174 for men and N = 224 for women) weight (Figure 3). However, participants who gained weight had no advantage over participants who were weight stable in either preventing or attenuating the strength decline, despite slight increases in their leg lean mass.
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lean mass and
strength appeared to be nonlinear. Strength declined as a function of lean mass in participants who lost their lean mass, but there was no association between
lean mass and
strength in participants who gained lean mass (Table 4). Therefore, there was no gain in strength in participants who gained weight or lean mass. These associations remained after controlling for weight and weight loss and further adjusting for potential confounders including smoking status, physical activity, education, family income, and health status.
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| DISCUSSION |
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The annualized rates of strength decline (3.6% in men and 2.8% in women) in these relatively healthy older adults were higher than the typical 0.8%2.0% per year previously reported in either cross-sectional studies or in longitudinal investigations of relatively younger individuals (2531). However, our data are supported by observations that the age-associated loss of strength is usually more pronounced at more advanced ages (25,26,30,31). It is likely that previous cross-sectional studies underestimated the true age-related decreases in strength. Indeed, in cross-sectional studies of this Health ABC study cohort at baseline, leg strength was approximately 2% lower per year of increasing age in both men and women (11). The current longitudinal study eliminates much of the survival effect bias that is likely in cross-sectional studies, such that stronger persons may have had a better chance to survive to old age and to be examined in baseline cross-sectional comparisons.
Greater strength decline in these men and women was associated with both lower initial leg lean mass and greater loss of leg lean mass. Interestingly, men lost more strength than women even after accounting for their greater initial strength. There was no racial difference in the proportionate loss of strength. The Baltimore Longitudinal Study on Aging (7,8,26,30) reported that men had greater rates of strength decline than women, and that increasing age was associated with greater loss of strength. Hughes and colleagues (29) demonstrated that older age, greater proportionate loss of body weight and muscle mass, and change in medication use were related to the loss of strength over time, but they did not include baseline strength in the prediction model. In accord with our results, Frontera and colleagues (27) reported that muscle strength at baseline and changes in muscle cross-sectional area were independent correlates of strength decline over 12 years. Taken together, these studies suggest that preserving lean mass would indeed help attenuate the strength decline with age.
Although it has been postulated that reduced muscle mass plays a major role in the age-related decline of strength (9,32,33), in this large cohort of older adults, initial lean mass and changes of lean mass could explain only a small portion (
5%) of variability of strength decline. Moreover, even individuals who maintained their lean mass became weaker, and individuals gained weight and lean mass did not become stronger as might have been expected. This finding further suggests that alterations in muscle quality play a role in the loss of strength in old age. Hughes and colleagues (29) also reported that changes in muscle mass explained only 5% of the changes in strength. Some studies have reported no age-associated changes in muscle quality (8,27,33,34), whereas others showed significant declines with age (35,36). It is likely that small sample sizes, different age ranges of participants, and different methods used to estimate muscle mass contribute to these inconsistent findings. Ours is the first large-scale study conducted specifically in older adults to examine changes in muscle quality using direct measurements of muscle mass, thereby addressing many of these previous limitations.
There are additional interpretations of the association between age-related loss of muscle mass and strength. It is possible that muscle weakness leads to decreased function, diminished physical activity, and sometimes immobility, consequently leading to secondary muscular disuse atrophy. Thus, decreased muscle mass is likely both the result and the cause of the age-related loss of strength. Both the selective loss of type 2 muscle fibers (37) and increased levels of proinflammatory cytokines (38) have been postulated to be related to the loss of strength with aging. Moreover, exercise-induced increases in strength are typically greater than would be expected for the concomitant increase in muscle mass (39), although this dissociation between changes in strength and mass has recently been challenged in studies examining changes in both the strength and size of single muscle cells (40). Thus, it is possible that age-related neurological changes, the hormonal and metabolic milieu, pro-inflammatory cytokines, and perhaps fat infiltrationlipotoxicitymay contribute to progressive muscle weakness in older adults. Further studies are needed to help elucidate how these factors may be related to changes in muscle mass and strength with aging.
Those who were stronger at baseline were more likely to lose more strength, such that baseline strength accounted for approximately 18% of the subsequent loss of strength after adjusting for age, race, and gender. This negative association was consistent whether strength change data were expressed in absolute or proportionate changes (data not shown) and was observed for men and women and for blacks and whites. These results may lead to the interpretation that the loss of strength is inevitable, and may even be greater in the strongest individuals. However, further analyses of participants who were excluded from the follow-up strength test suggest that greater strength loss in those with higher baseline strength may partly be explained by survival bias. The mortality rate in this cohort was more than 2-fold higher in the lowest quartiles of baseline strength than in the highest quartile (5). Failure to return for the follow-up clinic visit was also more common in participants in the lower quartiles of baseline strength. Participants who did not return were weaker at baseline. They were also older, more likely to be black, more obese, and had more chronic diseases. Therefore, the participants in this analysis appeared to be healthier than members of the overall Health ABC study cohort. Weaker participants who dropped out could have likely had greater strength losses, thus this selection bias may have attenuated the observed loss of strength. In addition, we cannot discount the possibility that weaker participants at baseline lost less strength simply because they regressed towards the mean.
Despite the novel findings and potentially important implications for preserving or enhancing health in old age, our study has several limitations. The Health ABC study cohort was restricted to a relatively narrow age range at baseline, and our findings should not be generalized to other age groups. In addition, this cohort was relatively well functioning at baseline. The relatively large number of participants who did not return for follow-up might have biased the results. However, similar results obtained for handgrip strength and arm lean mass suggest that our results are not limited to lower extremity strength. Examination of changes across additional time points or over a longer period of follow-up might have helped to reduce any measurement error that could have confounded the associations between muscle mass and strength measured across only two time points. Moreover, we did not determine whether other potential confounders, such as dietary intake or neurological function, influenced the observed changes. Another potential limitation was the lack of follow-up CT scan data, which will be available after 5 years of follow-up. These data will allow us to examine changes in muscle fat infiltration as a function of strength loss.
Summary
The loss of strength in these older men and women was much more rapid than the concomitant loss of muscle mass, suggesting a significant decline in the quality of muscle. Additionally, individuals who maintained or even gained lean mass were not able to significantly prevent their loss of strength. Although it may be important to preserve lean mass to prevent strength decline in old age, a considerable amount of the age-dependent strength decline is not explained by the loss of muscle mass alone. Therefore, we can put forth an alternative hypothesis that, in addition to muscle quantity, muscle quality may be an important determinant of loss of strength with aging. Further studies are required to identify other risk factors for the decline in strength with aging so that more targeted interventions can be planned to prevent or slow the decline, thus maintaining overall function of older men and women.
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Drs. Goodpaster and Park contributed equally to this manuscript and should be considered as co-first authors.
Dr. Park is now with the Department of Internal Medicine, Pochon Cha University, Pochon, Korea.
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Received January 18, 2006
Accepted April 24, 2006
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