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a Departments of Human Studies, University of Alabama at Birmingham
b Departments of Nutrition Sciences, University of Alabama at Birmingham
Gary R. Hunter, Department of Human Studies, University of Alabama, Birmingham, AL 35294 E-mail: ghunter{at}uab.edu.
Decision Editor: John Faulkner, PhD
| Abstract |
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MUSCLE size, strength, and the ability to perform physical tasks of daily living (PTDL) reach a peak in a person's early thirties and then decline with age (1) (2) (3). This decline occurs regardless of physical fitness or amount of training (1) (4). Schultz and Curnow have documented the progressive performance decrements of highly trained athletes as they age (4). Cross-sectional studies suggest varying rates of skeletal muscle atrophy, from 20% in the biceps brachii to 33% in the quadriceps femoris, when sedentary young (2035 years) and old (6886 years) adults are compared (1) (5) (6). The decline in muscle strength appears to follow the decline in muscle mass closely (6) (7) (8) (9). However, some controversy exists as to whether the decline in strength is solely due to a decline in (quantitative) muscle mass (1) (5) (6) (10) or to whether changes in muscle quality also occur, such as alterations in the activation of motor units or contractile properties of the muscle (5) (8) (11). Compromised task performance with age may result from a variety of factors, including muscle weakness and decreased muscle mass in relation to fat mass (12) (13).
The relationship of muscle mass and strength to the difficulty of performing daily tasks such as standing from and sitting into a chair or carrying a box of groceries is not known. Although muscle cross-sectional area and thus quantity of limb lean tissue are related to strength and effort in performing daily tasks, it is not known whether this relationship is the same in younger and older adults. A comparison of the relationship between the quantity of muscle mass and muscle function between young and old adults should improve our understanding of the age-related decline in the ability to perform PTDL.
To our knowledge, few studies have examined objective physiological measurements of difficulty, while the subjects are performing daily tasks, in young and old persons. The physiological effort required to do tasks can be evaluated by using integrated electromyography (IEMG; (14)). The electrical activity of the muscle recorded as IEMG is normalized by dividing the IEMG recorded while the subject is performing a task (or gradation of maximum strength) by the maximum IEMG recorded from the same muscle group during a maximum effort. Higher normalized IEMG (nIEMG) values indicate greater muscular effort or intensity of contraction. When combined with a measure of lean tissue, nIEMG during task performance can provide objective comparisons between the muscle function of older and younger individuals.
Using younger and older women matched for body mass index (BMI), this study was designed to test the following hypotheses: (1) older women have lower strength and lean tissue mass in the arms and legs than younger women; (2) an age-related decline in the strength of the knee extensors is independent of limb lean tissue mass, whereas the age-related decline in elbow flexor strength is dependent on limb lean tissue mass; (3) an age-related decline in the ability to stand from a chair is independent of limb lean tissue and strength; and (4) older and younger women have similar muscle function for a carrying task that is proportional to each woman's maximal strength.
| Methods |
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Design
All subjects were evaluated between the hours of 7 AM and 10 AM after an overnight fast. Subjects were evaluated one time for the following:
(1) body composition by dual-energy x-ray absorptiometry (DXA) scan;
(2) maximum voluntary isometric contraction (MVIC) of the right elbow flexors and right knee extensors;
(3) nIEMG of the right rectus femoris while standing from and sitting into a chair; and
(4) nIEMG of the right biceps while carrying a weighted box and walking on a treadmill. The nIEMG was used to objectively observe electrical activity of the muscle.
DXA
A DXA total body scan was performed on each subject (Lunar Model DPX-L, software version 1.5g, Lunar Radiation Corporation, Madison, WI). Scans were conducted in the adult medium mode (8 cm/s). A DXA analysis provided fat mass percentage of total body weight, fat mass, and lean tissue mass (excluding bone mineral content). Regions of interest were used to separate right arm and upper right leg from total body lean tissue mass (LTM). This procedure allowed the measure of LTM of the extremity, including the predominant muscle or muscle group used to perform the MVICs and tasks of daily living completed in this study. The LTM of the upper leg provided a surrogate measure of the knee extensors. The LTM of the total arm served as the surrogate measure for the elbow flexors because elbow flexors lie in both the upper and lower arm.
Isometric Strength Tests
Maximum isometric strength of the knee extensors and elbow flexors was evaluated while the IEMG of the rectus femoris and biceps brachii, respectively, were measured. A Universal Shear Beam Load Cell-LCC 500 (Omega, Stamford, CT) was used to measure force for both strength tests. Subjects were provided with immediate force measurement feedback by a digital transducer (Omega) and were verbally encouraged to obtain the highest force possible.
During elbow flexion, each subject stood with a metal harness to limit shoulder movement. The harness was suspended from a strap behind the subject's neck. It crossed the subject's chest and lay behind her triceps. Both arms remained fixed at the sides, with the right elbow bent to a flexion of 1.92 rad (radians) and a strap positioned over the styloid process and attached to the force transducer.
Isometric knee extension strength was measured with the subject sitting in a chair with the right knee extended to 1.92 and again at 2.44 rad. Hip movement was limited by securing the subject to the chair at the thighs and torso. Force production was measured 1 in. (2.54 cm) above the malleolus, where a strap was positioned and attached to the force transducer. IEMG was recorded during each contraction at the knee extension angles of 1.92 and 2.44 rad to normalize data during the standsit task. Subjects were given three practice trials, followed by three MVICs at each test angle. The average of the two highest values for each angle was used for statistical analysis.
Electrode and Goniometer Placement
As a way to measure IEMG, bipolar silversilver chloride (AgAg/Cl) 2mm in diameter, electromyography surface electrodes (Rochester Electro-Medical, Inc., Tampa, FL) were placed one electrode width apart in a longitudinal line with the quadriceps, and over the biceps muscle according to standard procedures
(15). The right ear lobe was used for placement of the ground wire. All leads had an impedance of less than 10 k
. The knee joint angle was measured by using an electronic goniometer (ELGON). The goniometer was secured to the lateral aspect of the right leg with the axis of rotation at the knee joint and with the goniometer arms extending an equal distance above and below the knee, and aligned to the lateral malleolus and greater trochanter. A manual goniometer was used to measure and maintain elbow joint position at 1.92 rad during all elbow flexion tests.
ElectromyographyELGON and Computer Interface
At each collection point, the raw electromyography (EMG) signal was recorded over a 6-second time period, sampled at a rate of 100 Hz, and processed through a Grass Polygraph D.C. Amplifier (Quincy, MA), integrated with a time constant of 100 ms. The IEMG, along with the ELGON analog data, was stored in a Gateway 2000 4DX-66 Computer System LabVIEW program (Windows 3.1, National Instruments, Austin, TX).
Standing Test
With arms folded across the chest, each subject stood from and sat into a standardized chair with a seat height of 44 cm and a firm seating surface (50 cm wide). The chair was centered side to side on a platform so that foot placement was flat, 11 cm apart, and 2 cm from the front edge of the platform. The procedure began and ended with subject knee angle positioned at 1.4 rad to horizontal. Women unable to maintain a 1.4 rad knee flexion and foot contact with the force platform had an appropriate number of boards placed under their feet to raise them to the proper height. Subjects were instructed when to stand and sit. Velocity was controlled by viewing the angular joint position of the knee as recorded on a computer monitor. Angle change upon standing and sitting resulted in the vertical displacement of a screen cursor, allowing the subjects to match a preset rate of ascent and descent. IEMG data were collected over 6 seconds during standing (1.92 and 2.44 rad) and sitting (2.44 and 1.92 rad). Several practice trials were administered before testing. Three tests were conducted, with the test most closely matching the predetermined velocity used for analysis. Testretest reliability in our lab for the two trials most closely matching the predetermined velocity was R = .87. IEMG at 1.92 and 2.44 rad during standing and sitting was normalized by dividing by the IEMG recorded during MVICs at knee extension angles of 1.92 and 2.44 rad, respectively.
Weight-Loaded Walking Test
Subjects walked on a treadmill for 4 minutes at 2 miles/h while carrying a simulated box of groceries with the right arm. The box was filled with sand equivalent to a weight that was 30% of the subject's elbow flexion MVIC. A metal harness was suspended from behind the neck to prevent shoulder movement and to maintain position of the right arm. Elbow flexion was maintained at 1.92 rad with the use of a manual goniometer. IEMG data at the biceps brachii were recorded for a 6-second time period at 00:10, 2:00, and at 3:45 from the beginning of the test. IEMG was normalized by dividing the results of the carry test by the IEMG obtained during elbow flexion MVIC.
Lower arm mass had to be accounted for as it contributed to the load being carried at 1.92 rad elbow flexion. Because the younger women possessed significantly greater lower arm mass than the older women, lower arm mass was included as a covariate during the carry task.
Analysis of Data
The means and standard deviations for all quantitative data were calculated for both groups (young and old). Independent t tests were used to compare mean observations between groups. Relationships among limb LTM, strength, and age were analyzed by using Pearson product moment correlations and first-order partial correlations. Differences between groups for the standsit task were analyzed with a two-way analysis of variance (ANOVA) with repeated measures and a two-way analysis of covariance (ANCOVA) with repeated measures, with limb LTM and knee extensor strength as covariates. Youngold was the fixed factor and joint position was the repeated measure. Differences between groups for the carry task were also analyzed with repeated measures two-way ANOVA and two-way ANCOVA, with lower arm mass, limb LTM, and carried weight as covariates. Youngold was the fixed factor and time was the repeated measure. The general linear models procedure of SPSS (SPSS, Inc., Chicago, IL) was used with the statistical significance determined at p
.05.
| Results |
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| Discussion |
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Age, Knee Extensor Strength, and Upper Leg Lean Tissue
Several factors may contribute to the age-related decline in knee extensor strength: poor nutrition; pain; decreased flexibility and range of motion; or atrophy of type II muscle fibers
(12)
(13)
(16). Because the older women in this study were healthy and free of joint pain, the most plausible explanation for these results may be a disproportionate atrophy of type II muscle fibers. Preferential decline of type II fiber cross-sectional area in leg muscle is a consistent finding in cross-sectional studies of age, strength, and muscle mass
(17)
(18)
(19)
(20).
Type I muscle fibers are the primary fiber used for maintenance of posture and slow, low-intensity movements. Changes in muscle fiber type that occur with aging may be related to changes in the functional demands of muscle over long periods of time (21). A slowing of leg movements with age, caused by decreased activity and therefore a predominance of low-threshold tonic activation of leg muscles, may contribute to the reinnervation of type II fibers by type I motor neurons. Because several studies suggest that type II muscle fibers are characteristically capable of generating more force than type I muscle fibers of similar cross-sectional area (18) (22) (23), a change in the size of type II muscle fibers would decrease the strength-to-cross-sectional area ratio.
Age-related changes in fiber architecture may also interfere with the development of maximum force. Lexell and Taylor (17) have found structural abnormalities in the fiber size and shape in approximately one third of all fascicles of vastus lateralis muscle in older individuals (6974 years of age) whereas these abnormalities were rarely seen in the vastus lateralis of younger individuals (1935 years of age). The abnormalities were suggested to be the result of negligible neural stimulation (24). Structural abnormalities that occur with age and affect force production may be more easily recognized in pennate versus fusiform muscle. Pennate muscles (e.g., knee extensors) are composed of fibers that lie at an angle to the longitudinal axis of the muscle. This fiber arrangement allows for increased force production. This is in contrast to fusiform muscle (e.g., biceps brachii), in which all muscle fibers run parallel to the longitudinal axis of the muscle. The result of age-related changes in neural stimulation possibly affecting the size and shape of muscle fibers may, therefore, have a more pronounced effect on force production by the knee extensors compared with elbow flexors.
Age, Elbow Flexor Strength, and Arm Lean Tissue
Age was significantly related to elbow flexor strength before but not after an adjustment for total arm LTM. This finding suggests that the age-related decline in elbow flexor strength was primarily a function of reduced LTM of the arm. The extent of muscle and strength decline with age is probably influenced by use of the muscle. Because both sedentary younger and older women perform relatively modest work with the arms, it is possible that the majority of the age-related decline in physical activity of this group occurs in the legs. Thus, as an individual ages, relative arm activity may be maintained to a greater extent than leg activity, leading to greater inactivity-induced type II muscle fiber atrophy in the leg versus arm muscles.
Physical Tasks of Daily Living
The knee extensors were the primary leg muscles used in the performance of the standardized standsit task. Younger and older women in this study were of similar height and weight, so all women were moving a similar mass during this task. Though total mass was similar, the older women did have significantly less total LTM (p < .05) than younger women. As expected, older women experienced greater difficulty (increased nIEMG) during standing and sitting. These data suggest that the initial phase of rising from a chair requires the greatest effort from both young and old women, but with the older group using a significantly greater percentage of maximum muscular activity (51.4 vs 29.9). These results suggest a diminished reserve capacity of strength in the older women and are in agreement with previous nIEMG values obtained from similar research
(2). Alexander and colleagues
(25) did not record muscle electrical activity but did find that older subjects spent a greater percentage of time in the first phase of rising from a chair than did a younger group. Although the healthy older women in this current study successfully completed the task, the results from nIEMG suggest that they were stressing their knee extensors to a greater extent than the younger women.
The age-related decline in the ability to carry objects with the arms seemed to be primarily a function of muscle size and strength. Interestingly, similar results with the triceps brachii muscle were seen in nIEMG data collected by Wheeler and colleagues (2). When younger and older persons spontaneously used their arms to assist their standing from a seated position, peak nIEMG activity as well as average nIEMG activity were not statistically different between the two groups.
The data recorded in this current study suggest that other factors may influence the ability of older women to stand from and sit into a chair (Table 3 ). Balance, flexibility, and muscular endurance may contribute to the ability of older adults to perform these daily tasks (26) (27). These data suggest that one or more of these factors may contribute to difficulty in standing from and sitting into a chair but not in carrying objects with the arm.
Conclusions
The older women in this study were not as strong as the younger women, and they experienced greater difficulty standing from and sitting into a chair than did the younger group. The relative strength difference between younger and older women was greater in the leg than in the arm despite an almost identical difference in arm and leg lean tissue. The difference in arm strength between groups appeared to be largely due to the difference in arm LTM, whereas the difference in upper leg strength between groups was only partly accounted for by upper leg LTM. Though the tasks used in this study did not test similar capacities of leg and arm function, these results indicate that muscle strength and perhaps function is reduced more in the legs than in the arms of older women. Interventions designed to reduce the age-related decline in muscle function should include whole body strengthening exercises with particular emphasis on the legs.
| Acknowledgments |
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We thank the graduate students who assisted with data collection; William Vaughn for his help with DXA analysis; Robert Petri for his expertise with EMG data collection and analysis; and we especially thank the volunteers who contributed their time and energy to participating in this study.
Received February 15, 2001
Accepted May 17, 2001
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