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Research Reports |
LB Panton, PhD, is Assistant Professor, Department of Nutrition, Food and Exercise Sciences, College of Human Sciences, Florida State University, 436 Sandels Building, Tallahassee, FL 32306 (USA)
JD Kingsley, MS, is a doctoral student, Department of Nutrition, Food and Exercise Sciences, College of Human Sciences, Florida State University
T Toole, PhD, is Professor, Department of Nutrition, Food and Exercise Sciences, College of Human Sciences, Florida State University
ME Cress, PhD, is Associate Professor, Department of Exercise Science, University of Georgia, Athens, Ga
G Abboud, MS, is a doctoral student, Department of Nutrition, Food and Exercise Sciences, College of Human Sciences, Florida State University
P Sirithienthad, MD, is a doctoral student, Department of Nutrition, Food and Exercise Sciences, College of Human Sciences, Florida State University
R Mathis, DC, is Doctor of Chiropractics, Mathis Chiropractic, Tallahassee, Fla
V McMillan, MD, is Rheumatologist, McIntosh Clinic, Thomasville, Ga
Address all correspondence to Dr Panton at: lpanton{at}mailer.fsu.edu
Submitted October 6, 2005;
Accepted July 5, 2006
| Abstract |
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±SD]=46±7 years), 12 age- and weight-matched women without FM (age=44±8 years), and 38 older women who were healthy (age=71±7 years) participated. Methods. The Continuous Scale–Physical Functional Performance Test (CS-PFP) was used to assess functionality. Isokinetic leg strength was measured at 60°/s, and handgrip strength was measured using a handgrip dynamometer. Results. The women without FM had significantly higher functionality scores compared with women with FM and older women. There were no differences in functionality between women with FM and older women. Strength measures for the leg were higher in women without FM compared with women with FM and older women, and both women with and without FM had higher grip strengths compared with older women. Discussion and Conclusion. This study demonstrated that women with FM and older women who are healthy have similar lower-body strength and functionality, potentially enhancing the risk for premature age-associated disability.
Key Words: Fibromyalgia Impact Questionnaire Functionality Strength Tender point sensitivity
| Introduction |
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The inability to carry out routine activities has significant implications for disability, health care costs, and quality of life in this group of women, especially when problems are occurring at young ages. Studies that have evaluated activities in women with FM have not directly measured their functionality (ability to perform routine activities of daily living [ADL]) in a wide range of tasks, but rather have used questionnaires such as the Fibromyalgia Impact Questionnaire (FIQ). Although the FIQ is a validated instrument that assesses physical function, instrumental ADL, general well-being, and FM-related symptoms,12 it is based on the respondents self-reported answers. It has been shown previously that there may be some limitations to self-report ADL questionnaires13,14 in that these questionnaires may not allow respondents to describe subtle improvements in ADL that may be clinically relevant.14 Only one study15 has assessed the functional ability of people with FM using standardized work tasks. The selected tasks were designed to test common workday activities such as twisting knobs or turning screwdrivers, pushing and pulling at the level of the sternum, vacuuming and mopping, working above the shoulder and head level as in placing objects in cabinets, and lifting heavy objects from the floor. Cathey et al15 found that women with FM performed only 58.6% of the work completed by individuals who did not have FM. The authors concluded that functional loss is present in people with FM and that dysfunction is a part of this syndrome.
Another performance measure that has been validated with data from older adults is the Continuous Scale–Physical Functional Performance Test (CS-PFP). The CS-PFP has been found to be a valid and reliable comprehensive test of physical functional performance.16 This test is able to measure higher levels of function without having ceiling effects as well as being able to test individuals who cannot perform a task, thus eliminating floor effects.16 The test is given under standard conditions, which ultimately minimizes variance and enhances the ability to detect changes from intervention programs or even drug therapy.13,14,17 Functional performance is measured by the CS-PFP by simulating routine activities that consist of common household and community tasks. Tasks range from low functional demand (eg, pouring water into a cup) to high functional demand (eg, climbing simulated bus steps while carrying groceries). The CS-PFP consists of 5 domains (upper-body strength, upper-body flexibility, lower-body strength, balance and coordination, and endurance) and a total functionality score.
Because many women with FM complain of problems with simple routine activities, the present study was designed to measure functionality in this group of women with a validated physical function test. This test not only gives a score of total function, but also can give information on the specific areas of upper- and lower-body strength, endurance, flexibility, and balance and coordination with respect to function. This information can be important when developing intervention programs. A second purpose of the study was to compare the functionality of women with FM with age- and weight-matched women without FM and older women who are healthy to determine whether women with FM are actually functioning at levels similar to those of older adults and not at levels of women of similar age and body weight. Based on previous research,11,15 we hypothesized that the age- and weight- matched controls would have higher functional scores than the women with FM and the older women. We also hypothesized, based on the research of poorer function11,15 and fitness levels11 in women with FM, that there would be no differences in functionality and strength between women with FM and older women who are healthy.
| Method |
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Data Collection
Data were collected over a 2-week period. Subjects came to the laboratory on 2 or 3 different occasions. Testing of functionality and strength measures were completed on separate days with at least 72 hours between tests. This was done in order to prevent fatigue and flare-ups (acute exacerbation of symptoms) in the women with FM. Tender-point evaluations and questionnaires on the effects of FM were completed on the third visit in only the women with FM.
Tender-point sensitivity
The number of tender points (Figure) and tender-point sensitivity were assessed by a board-certified rheumatologist only in the women who were diagnosed with FM. The rheumatologist determined the number of active tender points and rated the sensitivity of the pain on a scale of 0 (no pain) to 3 (withdrawal of the patient from the examiner) of each tender point to determine a myalgic score.19 Each of the 18 tender points was evaluated, with the highest possible myalgic score being 54. The myalgic score is a rating given by the physician to describe the sensitivity of a tender point when pressure is applied. Test-retest correlations (r) for tender-point evaluations and myalgic scores of the 12 women with FM in the present study were .80 and .60, respectively.
Fibromyalgia Impact Questionnaire
The FIQ was used to assess the effects of FM on a week-to-week basis12 only in the FM group. The FIQ consists of 20 questions pertaining to morning stiffness, mood, pain, and the ability to perform ADL. Scores range from 0 to 100 units; the higher the FIQ score, the greater the effects of the disease. On average people with FM score about 50 units, and an individual with severe effects of FM may score above 70 units. Construct validity for the FIQ has been demonstrated through correlations of FIQ scores for physical impairment, pain, depression, and anxiety with the Arthritis Impact Management Scale (r=.67–.76). Test-retest correlations have ranged from .56 for the pain scale to .95 for the physical function scale.7
Lower-body and upper-body strength measurements
Peak isokinetic knee extensor torque was measured at 60°/s using gravity correction on the Biodex Isokinetic Machine*. This measurement was chosen to compare the results the results of our study with those of previous studies of women with FM20 and older adults.21 The force generated by the quadriceps femoris muscle also is important in routine ADL. The dominant lower extremity, determined by asking the subjects whether they were right- or left-handed, was tested for peak force production. Subjects were seated in an upright position with the hips flexed to 90 degrees. The subjects upper body, hips, and lower extremities were stabilized with shoulder, pelvic, thigh, and ankle straps.22 After 3 practice trials, 3 maximal efforts at generating maximal force were recorded. The peak force (in newton-meters) from the 3 trials was used as the dependent measure. Peak force also was adjusted for body weight (in newton-meters per body weight in kilograms) to compare with results from other studies21,23 and to control for differences in body weight among the 3 groups that may have an effect on absolute strength. The test-retest reliability of isokinetic test measurements of peak force of the right leg range from good to high, with reported r values of .85 to .97.24,25
On completion of the isokinetic testing, handgrip strength was measured using a handheld dynamometer (Jamar)
following published procedures.26 Briefly, the subjects stood with the handgrip dynamometer parallel to the side of the body at about waist level. The grip bar was adjusted to fit comfortably in the subjects hand with the middle phalanges under the grip handle. Subjects were requested to squeeze as hard as they could while exhaling. Each hand was tested, alternating back and forth for 3 trials. The highest force production (in kilograms) for each hand then was totaled for the dependent variable. This procedure was selected so that comparisons could be made with the results of previous research.23,27 The reliability coefficients for handgrip testing are usually .90 or higher.22 The test-retest correlations (r) for the handgrip and isokinetic measurements of the women with FM in the present study were .90 and .80, respectively, taken within a 2-week period.
Continuous Scale–Physical Functional Performance Test
The CS-PFP was developed using data collected on older adults with a broad range of physical abilities.16 In previously published research, this test has been shown to have convergent, construct, and face validity for 16 everyday household tasks.16 The CS-PFP has high reproducibility (r=.97)16 and is sensitive to change induced by exercise, with an effect size of 0.80.13 The test-retest correlation (r) for the total functionality scores of the women with FM in the present study was .90. The CS-PFP is specific for physical function and is not related to emotional or mental health or depression.13 A detailed description of the procedures for the administration of the CS-PFP is published elsewhere.13,28 The CS-PFP is based on routine tasks, performed at maximal effort within the bounds of safety and comfort. Sixteen tasks are administered, and a combination of time, distance, and weight is used to quantify performance. Tasks quantified using both weight and time include: (1) carrying of weight, (2) pouring water from a jug into a cup, (3) carrying weight up and down a simulated bus platform, and (4) carrying groceries. Tasks quantified by time alone include: (1) transferring laundry from a washer to a dryer, (2) putting on and removing a jacket, (3) floor sweeping, (4) vacuuming, (5) making a bed, (6) climbing stairs, (7) getting down and up from the floor, (8) pulling open a fire door, (9) putting a Velcro strap
over a shoe, and (10) picking up 4 scarves from the floor. Tasks that are quantified by distance alone include: (1) a 6-minute walk and (2) highest reach. Each task is scored from 0 to 100, based on an empirically derived range from data gathered on older adults with a broad range of individual functional abilities.16
Time was used to calculate speed (1/t), so that higher numbers reflected higher function for each unit of measure (weight, distance, and speed). Each task is scaled 1 to 100 according to the following formula:
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The total physical functional performance score (CS-PFP total) is the average corrected score of all tasks. The CS-PFP total can be broken down into 5 domains representing upper-body strength, upper-body flexibility, lower-body strength, balance and coordination, and endurance.
The laboratory for the administration of the CS-PFP was set up to adhere to the published dimensions,16 and the CS-PFP was administered using the published protocol13 and a scripted dialogue with minor changes tailored to this laboratory. Performance data were scored using the Web-based data reduction program.28
Before the start of the CS-PFP, all women had the procedures for testing explained to them. They were told to "perform each task safely, working as fast as you can." All women were fitted with transfer belts to protect them in case they slipped or stumbled when performing a task. At the completion of testing, subjects were asked to rate their perceived effort for the entire testing procedures of the CS-PFP from 6 to 20 on the Borg Rating of Perceived Exertion Scale.26
Data Analysis
The independent variable was group (women with FM, age- and weight-matched controls, older women), and the dependent variables were the primary outcome categories of function (CS-PFP total) and strength. A Bonferroni test was used to correct for multiple primary outcomes with significance level set at P=.025 (.05/2). One-way analyses of variance (ANOVAs) were used to determine whether there were differences among the 3 groups of women. When significant differences were detected, Tukey post hoc tests were used to determine where the differences were located. Data are presented as means ± standard deviations. All statistical analyses were carried out using the SPSS (version 13.0) statistical package.
| Results |
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| Discussion |
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Previous research has documented that women with FM have lower muscular strength15,23 and cardiovascular fitness6,12 compared with age-and weight-matched controls. In the present study, we found that women with FM did not have decrements in upper-body strength compared with the age- and weight-matched controls. Both the women with FM and the age- and weight-matched controls had significantly higher handgrip values compared with the older women. A reason for the lack of difference in the women with FM may be due to the location of the tender points and the strength assessment tool that we used. Most of the tender points in the upper body are located in the neck and shoulder regions (Figure); therefore, these women may not be compromised in forearm strength due to the pain associated with their tender points. These results may have been different if we had used a measurement of upper-body strength that included more of the musculature in the upper back and shoulder regions. Another possibility is that the hands are used for most activities during the day and perhaps handgrip strength is preserved in women with FM. Therefore, our data do not support the notion that women with FM have lower upper-body strength when measured by the handgrip dynamometer.
The age- and weight-matched controls had significantly higher absolute and relative isokinetic values compared with the women with FM and the older women. The women with FM had significantly higher absolute strength values for isokinetic knee extension compared with the older women. However, when the lower-body strength measurements were adjusted for body weight, there were no differences in strength between the women with FM and the older women.
Our isokinetic knee extension and flexion measurements at 60°/s relative to body weight for the women with FM were very similar to the isokinetic extension and flexion values reported by Maquet et al23 in women with FM (1.27±0.35 and 0.70±0.21 N·m/kg, respectively) of a similar age group (43±9 years). In the present study, the age- and weight-matched controls had greater isokinetic knee extension and flexion at 60°/s relative to body weight compared with the women with FM. Our data, therefore, are in agreement with the findings of other studies that women with FM have a reduction in lower-body strength values.
Although we did not directly measure cardiovascular fitness in the 3 groups, we did measure the 6-minute walk as part of the measure of total functionality and of functionality in the endurance domain. Pankoff et al29 have shown the reliability of measurements for the 6-minute walk to be excellent in women with FM. Their intraclass correlation coefficient was .91, which was similar to the value of .93 that we obtained in the present study. Again, the data were not significantly different between the women with FM and the older women. The older women walked an average distance of 507.8±102.1 m in 6 minutes, and the women with FM walked an average of 486.8±82.5 m. The age- and weight-matched controls walked significantly farther than the women with FM and the older women, with a mean distance of 603.5±134.2 m. Our data are in agreement with the data published by Mannerkorpi et al11 for women with FM (mean age=46 years). Mannerkorpi et al11 reported that the women with FM in their study walked 489.0±96.4 m in 6 minutes, with a range of 200 to 703 m. Pankoff et al29 also found women with FM (27–59 years of age) walked 478±61 m, 492±57 m, and 495±60 m over 3 days of reliability testing for the 6-minute walk test. Our data are very similar to data collected by Mannerkorpi et al11 and Pankoff et al29 and support the notion that women with FM have a reduced cardiovascular fitness much like that of older women.
We are the first group of researchers to utilize the CS-PFP, a valid and reliable tool, to evaluate functionality of routine activities in women diagnosed with FM. What is unique about the CS-PFP is the information that is given on the specific areas of upper- and lower-body strength, endurance, flexibility, and balance and coordination with respect to total function. In the present study, we found that the age- and weight-matched controls had a significantly higher total functionality score than the other 2 groups of women as well as higher scores for the domains of upper- and lower-body strength, endurance, upper-body flexibility, and balance and coordination. The women with FM and the older women were not different from each other in total functionality or in the domains of functionality.
From a purely statistical interpretation, the finding of no difference between the women with FM and the older women could simply mean that the between-group variance and the within-group variance are unbiased estimates of the same value, the population error variance.30 This could suggest that there are large variances in both groups (high variation within each group) that would essentially eliminate any between-group differences. When the functional means and standard deviations (eg, CS-PFP total of 49±15 the women with FM and 49±13 for the older women) are compared, the means are exactly the same and the standard deviations are similar and not extremely high. This suggests that there are no true differences between the women with FM and the older women.
Examination of the raw scores of the women with FM and the older women shows that both groups of women had difficulty with similar tasks. The lower scores for both groups of women were for tasks that required greater strength (grocery and pot carry), endurance (6-minute walk and stair climb), and flexibility (scarf pickup and reach). The lower scores in these areas also were associated with longer times to complete the given tasks (bed making and floor sit). In some instances, the women with FM performed poorer than the older women (bus stop weight carry and scarf pickup). Although 5 of the 17 tasks were not significantly different across the 3 groups, in most of these tasks, the women with FM performed similar to the older women. The CS-PFP consecutive task performance yields cumulative information that is often missed in simple task evaluation. However, the summary scores of the CS-PFP and its domains can capture these subtle differences.
The decrements in functionality in the women with FM could have been due, in part, to their chronic pain. However, the women were instructed to take their regular medications before coming to the laboratory for testing. Many of the women verbally expressed soreness during the different tasks, but they did not believe that their soreness limited their performance except in the overhead reach task. Many of the tender points are clustered around the neck area, making it difficult to lift the arms over the head. This was the only task that required subjects to reach with their arms above their shoulders. We also found the retest reliability to be high in the women with FM (r=.90). Because values were so similar between the women with FM and the older women and the retest reliability was high, we believe that the decrements in functionality were due to reductions in strength, cardiovascular fitness, and flexibility.
The CS-PFP has been used to test individuals with a broad range of abilities. Cress et al16 reported that older individuals (>70 years of age) living in the community at large had a CS-PFP score of 54±11 units, whereas residents of a retirement community with a continuum of care scored 42±15 units if they did not have self-reported functional limitations and 24±9 units if they had self-reported functional deficits. Twenty-one (72%) of the women with FM were functioning below a CS-PFP score of 54, and 29 (76%) of the older women were functioning below this score. These findings do not bode well for the women with FM, who—in some cases—were 25 years younger than the older women and had similar strength and functional ability. When talking to both groups of women, many of them reported that they had made modifications in their routine activities. Some of the women with FM had made alterations in their kitchens so that they did not have to reach above their shoulders to get items from cabinets. Household members also were helping many of these women with housework and with the shopping. The women with FM in the present study were scoring similar to the older individuals in the study by Cress et al16 who are living independently in a retirement community. Yet their FIQ scores indicate that their disease is having significant effects on their quality of life. Therefore, these women with FM may be at greater risk of disability, especially as they continue to age.
The FIQ has been used in a number of intervention studies as a primary outcome variable to assess the effects of FM on ADL.2–4,6,20 However, there has been some concern that there may be some limitations to self-report ADL questionnaires.13,14 Activities of daily living questionnaires may not allow respondents to describe subtle improvements that may be clinically relevant after intervention studies, especially if they do not perform the questioned activity as part of their daily routine.14 The CS-PFP would be an ideal tool to use in combination with the FIQ because the CS-PFP may pick up changes that occur with intervention programs that the FIQ may miss. The CS-PFP also gives information on specific areas of impairments (strength, endurance, flexibility) so that intervention programs can be tailored to the individuals needs.
There are a few limitations of the study that need to be addressed. When we assessed the tender-point sensitivity of the women, we did not ask them to refrain from taking their pain medications; therefore, some of the women did not have 11 of the 18 tender points. However, their physicians did have to sign a physician form stating the women had been previously diagnosed with FM. For a true diagnosis of the number of tender points and their sensitivity, the women should have been off their medications for at least 24 hours. The women also took their regular pain medications the day of the functional testing, which may have improved their ability to perform these routine tasks of daily living. Although the CS-PFP was validated in older adults with a broad range of abilities, these tasks also are commonly performed by individuals with varying conditions, including FM. The routine activities that are included in this test are not specific to an older population but are activities used in independent living regardless of age.
| Conclusions |
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| Footnotes |
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Approval of the study was obtained from the Institutional Review Board of Florida State University.
Abstracts of the data in this study have been presented at the national and regional meetings of the American College of Sports Medicine.
This study was funded by grants from Florida State University.
* Biodex Medical Systems, 20 Ramsay Rd, Shirley, NY 11967-4704. ![]()
Sammons Preston Rolyan, 4 Sammons Ct, Bolingbrook, IL 60440. ![]()
Velcro USA Inc, 406 Brown Ave, Manchester, NH 03103. ![]()
SPSS Inc, 233 S Wacker Dr, Chicago, IL 60606. ![]()
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