- Research article
- Open Access
- Open Peer Review
Low dynamic muscle strength and its associations with fatigue, functional performance, and quality of life in premenopausal patients with systemic lupus erythematosus and low disease activity: a case–control study
© Balsamo et al.; licensee BioMed Central Ltd. 2013
- Received: 26 February 2013
- Accepted: 21 August 2013
- Published: 8 September 2013
The purpose of the present study was to compare dynamic muscle strength, functional performance, fatigue, and quality of life in premenopausal systemic lupus erythematosus (SLE) patients with low disease activity versus matched-healthy controls and to determine the association of dynamic muscle strength with fatigue, functional performance, and quality of life in SLE patients.
We evaluated premenopausal (18–45 years) SLE patients with low disease activity (Systemic lupus erythematosus disease activity index [SLEDAI]: mean 1.5 ± 1.2). The control (n = 25) and patient (n = 25) groups were matched by age, physical characteristics, and the level of physical activities in daily life (International Physical Activity Questionnaire IPAQ). Both groups had not participated in regular exercise programs for at least six months prior to the study. Dynamic muscle strength was assessed by one-repetition maximum (1-RM) tests. Functional performance was assessed by the Timed Up and Go (TUG), in 30-s test a chair stand and arm curl using a 2-kg dumbbell and balance test, handgrip strength and a sit-and-reach flexibility test. Quality of life (SF-36) and fatigue were also measured.
The SLE patients showed significantly lower dynamic muscle strength in all exercises (leg press 25.63%, leg extension 11.19%, leg curl 15.71%, chest press 18.33%, lat pulldown 13.56%, 1-RM total load 18.12%, P < 0.001-0.02) compared to the controls. The SLE patients also had lower functional performance, greater fatigue and poorer quality of life. In addition, fatigue, SF-36 and functional performance accounted for 52% of the variance in dynamic muscle strength in the SLE patients.
Premenopausal SLE patients with low disease activity showed lower dynamic muscle strength, along with increased fatigue, reduced functional performance, and poorer quality of life when compared to matched controls.
- Dynamic muscle strength
- Quality of life
- Systemic lupus erythematosus, Functional performance
It has been speculated that fatigue, a symptom frequently observed in approximately 80% of SLE patients , may contribute to a reduction in physical fitness (i.e., muscle weakness and low cardiovascular capacity), which, in turn, leads to an impairment in the performance of activities of daily living and consequently, in the overall quality of life .
Most studies examining the relationship between physical fitness and overall health in SLE patients have only addressed cardiovascular fitness . However, decrements in muscle strength have also been strongly associated with a greater number of cardiovascular events [3, 4] and early mortality [5, 6] in several populations. Currently, the association between dynamic muscle strength, fatigue, functional performance, and quality of life in SLE patients remains unknown.
Previous studies have demonstrated that SLE patients have decreased isometric muscle strength when compared to healthy controls [7, 8]. These studies evaluated muscle strength through isometric tests. Dynamic strength tests may be more informative than static tests for physical function evaluation because daily living functioning primarily encompasses dynamic rather than isometric contractions [7, 8]. These previous studies also did not control for important confounding factors that affect physical performance, such as obesity , fibromyalgia [9, 10], perimenopause , smoking , using beta-blockers  and statins , activities of daily living and physical activity level , and socioeconomic status . In the present study, we did correct for these confounding factors; therefore, their influence on the dependent variables may be considered minimal.
Thus, the objective of this study was twofold: 1) to compare dynamic muscle strength, functional performance, fatigue, and quality of life in premenopausal SLE patients with low disease activity versus matched-healthy controls and 2) to determine the association between dynamic muscle strength and fatigue, functional performance, and quality of life in these patients. We hypothesised that premenopausal SLE patients withp low disease activity would present reduced dynamic muscle strength when compared with their healthy peers. Furthermore, we hypothesised that low dynamic muscle strength would be associated with fatigue, poor functional performance, and impaired quality of life in SLE patients.
Study design and patients
The study was conducted between January 2009 and January 2011. A single examiner analysed the medical records and conducted structured interviews with 240 patients who were being followed in the outpatient Clinic of Rheumatology at the Brasilia University Hospital (HUB, Brasilia/Brazil). The interviews included socioeconomic status (e.g., education, employment, and income). Disease activity was assessed by the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) . The control group was recruited through email, leaflets, and posters. Healthy women were primarily matched by physical activity levels, age and physical characteristics (i.e., body weight and body fat). The participants provided signed informed consent. The study was approved by the local ethics committee and was in accordance with the Helsinki Declaration of 1975, as revised in 1983.
All participants were premenopausal women. The SLE patients met the American College of Rheumatology (ACR) criteria , with stable disease (i.e., no flare-ups or changes in medication for at least 3 months before entering the study) . Additionally, all participants had not engaged in regular exercise programs for at least six months prior to the study .
The following exclusion criteria were applied: SLEDAI > 5 (n = 19), serum creatinine ≥ 265 mmol/l, myositis, haematocrit ≤ 30%, nephritis and/or leukopenia (n = 13), history of myocardial infarction, cardiomyopathy, hypertension and/or the use of beta-blockers (n = 18), type 2 diabetes mellitus (n = 6), neurological diseases (n = 4), hypothyroidism (n = 5), fibromyalgia (n = 23), osteoporosis (n = 6), rheumatoid arthritis (n = 3), Sjögren’s syndrome (n = 2), cancer (n = 1), age < 18 years (n = 2) and > 45 years (n = 39), residence located far (other state) from the research centre (n = 40), body mass index (BMI) < 18 kg/m2 (n = 1) and > 30 kg/m2 (n = 8), smoking (n = 10), pregnancy (n = 1), and engaged in regular exercise (n =14).
The participants who met the inclusion criteria visited the laboratory on three different occasions in 48 to 72-hour intervals at the same time (2–4 pm). Two days prior to the tests, the participants were recommended to avoid intensive exercise, caffeine or alcohol intake. The evaluations were not performed during the menstrual period. On the first day, fatigue symptoms, quality of life, and physical activity level were assessed [15, 18, 19]. Additionally, anthropometric measurements and functional performance tests were performed. The patients were also familiarised with the one-repetition maximum strength tests (1-RM). On the second and third days, the 1-RM test and re-test were performed, respectively.
A single examiner evaluated height, weight, and BMI. Body fat was estimated using the skinfold measurement, as previously described .
Fatigue symptoms, quality of life, and physical activity level
All questionnaires were administered prior to the physical tests. The following fatigue scales were used: Fatigue Severity Scale (FSS) , which consists of a 9-question questionnaire with a score ranging from 1 to 7. Quality of life was assessed using the Short-Form Health Survey 36 (SF-36) , which consists of 36 items grouped into eight sub-domains (i.e., physical functioning, role-physical functioning, bodily pain, general health, vitality, social functioning, role-emotional functioning, and mental health). The SF-36 score ranges from 0 to 100, with a higher score indicating better health-related quality of life. The level of physical activities of daily living was evaluated using the short version of the International Physical Activity Questionnaire (s-IPAQ) , which consists of questions regarding the frequency (i.e., days per week) and duration (i.e., minutes per day) of occupational and recreational activities of daily living and structured exercise programs according to the physical activity level. The subjects were classified into three categories: active, irregularly active, and inactive.
Functional performance tests
Physical function was assessed through the following battery of tests. The 30-s chair stand test evaluated the number of times that a subject was able to stand from a standard chair and sit down again in 30 seconds . The 30-s arm curl test assessed upper-body muscle function by the number of arm curl repetitions performed with 2-kg dumbbell for 30 seconds . The handgrip strength test (Takei Kiki Kogyo Co., Ltd., Japan) evaluated the maximal isometric strength of the dominant hand using a calibrated dynamometer. The volunteers stand erect holding the dynamometer parallel to the side, with the dial facing away from the body. Each participant performed the test twice, with a 1-minute rest period between the measurements. The best value was chosen for the analysis. The grip position of the TKK dynamometer was adjusted to the individual’s hand size . The Timed Up and Go (TUG) test assessed the time that a subject required to rise from a standard arm chair, walk 3 meters away, turn, return, and sit down again . The one foot balance test with eyes closed assessed balance by having subject stand on one foot with eyes closed for up to 30 seconds . The sit and reach test evaluated flexibility using the modified chair sit-and-reach test, as previously described .
Dynamic muscle strength
The 1-RM test was used to determine the dynamic muscle strength of the upper- and lower-limbs  using conventional weight machines (Johnson Health Technologies, Taiwan) [5, 27–29]. Prior to the 1-RM test, two light warm-up sets were performed in two-minute intervals. Then, the participants were given up to five attempts to achieve the 1-RM load (i.e., the maximum weight that could be lifted once using proper technique), with a five-minute interval between the attempts. The 1-RM tests were conducted for leg press, chest press, leg extension, lat pulldown, and leg curl exercises. The strength tests were performed on two different days and were separated by a 48–72 minute period, which allowed the calculation of the test-retest reliability (i.e., intra-class coefficient [ICC]) for both groups .
Sample size calculation was cited in a previous study  and assumed an effect size of 0.97 between groups; thus, a minimum sample of 25 volunteers for each group was required to provide 90% power (5% significance). The non-paired Student's T-test or Mann–Whitney U-test was used to compare the groups. Physical activity levels and socioeconomic status data were analysed by Pearson's chi-squared test.
The forward stepwise linear regression model was used to investigate the relationship between muscle strength (as the dependent variable) versus functional performance (i.e., 30-s chair stand test and handgrip tests), fatigue (i.e., FSS score), and quality of life (physical functioning subscale from SF-36) for the SLE patients. The regression model was applied as the 1-RM-total (muscle strength: sum of total load lifted in the 1-RM tests [i.e., leg press + leg extension + leg curl + chest press + lat pulldown]), according to Ruiz et al. . Normally distributed data are expressed as the mean±SD, and non-normally distributed data are expressed as median and interquartile range. The significance level was set at 5%. The analyses were performed using the software SAS for Windows 9.2 (SAS Institute Inc., Cary, NC, USA).
Main characteristics of SLE patients versus matched-healthy controls
Difference between means
(n = 25)
(n = 25)
Age, years, median (IQR)†
Body mass, kg
57.7 ± 6.7
58.3 ± 8.2
0.69 (-3.6, 4.9)
158.1 ± 0.1
158.3 ± 0.9
-0.01 (-0.1, 0.1)
Lean body mass, kg
38.1 ± 4.8
38.5 ± 3.8
0.5 (-2.1, 2.9)
23.1 ± 2.9
23.5 ± 3.3
0.5 (-13, 2.2)
Body fat, %
33.5 ± 9.2
33.2 ± 8.6
-0.3 (-5.4, 4.7)
Sum of skinfolds, mm
79.8 ± 19.4
79.6 ± 18.4
-0.1 (-10.9, 10.6)
Thigh skinfold, mm
23.1 ± 5.6
22.3 ± 6.4
-0.8 (-4.2, 2.6)
Right thigh circumference, cm
55.2 ± 4.2
56.2 ± 3.6
1.1 (-1.2, 3.3)
Systolic blood pressure, mmHg
108.0 ± 10.2
106 ± 8.6
-2.3 (-7.7, 3.1)
Diastolic blood pressure, mmHg, median (IQR)†
Heart rate, bpm
80.0 ± 10.3
81.0 ± 14.9
1.2 (-6.1, 8.5)
Socioeconomic characteristics of the SLE patients and healthy controls
Literacy, 0 to 4 years
Primary, 5 to 8 years
Secondary, 9 to 12 years
University, 12 years >
Up to 1 minimum salary
From 1 to 2 minimum salaries
Over 2 minimum salaries
None of the participants had engaged in regular exercise programs for at least six months prior to the study. The level of physical activities of daily living was similar between the groups (P = 0.12). In the SLE group, 17 of 25 (68%) patients were active, 3 of 25 (12%) were irregularly active, and 5 of 25 (20%) were inactive. In the control group, 23 of 25 (92%) subjects were active, 1 of 25 (4%) was irregularly active, and 1 of 25 (4%) was inactive.
Fatigue symptom and quality of life
Functional capacity, fatigue scores and quality of life in the SLE patients and controls*
Difference between means
(n = 25)
(n = 25)
Handgrip strength, kg
24.2 ± 4.9
27.1 ± 4.7
2.8 (0.1; 5.5)
30-s chair stand test, repetitions
19.6 ± 5.6
24.1 ± 3.7
30-s arm curl test, repetitions
20.5 ± 3.3
24.6 ± 3.6
4.1 (2.1; 6.1)
Timed Up and Go, s
5.3 ± 0.4
5.0 ± 0.6
-0.3 (-0.6; -0.0)
Flexibility sit and reach, cm
24.0 ± 9.5
29.0 ± 9.4
5.0 (-0.40; 10.4)
30-s balance, s
FSS, median (IQR)†
Quality of life, SF-36
Physical functioning, median (IQR)†
Role-physical functioning, median (IQR)†
Bodily pain, median (IQR)†
51.1 ± 17.8
67.4 ± 16.3
16.3 (6.6; 26.0)
Vitality, median (IQR)†
Social functioning, median (IQR)†
Mental health, median (IQR)†
8.5 (1.7; 15.3)
When compared with the controls, the SLE patients had a significantly lower functional performance in general (handgrip test = -10.35%, TUG test = - 5.94%, 30-s chair timed-stand test = - 18.60%, 30-s arm curl test = - 16.58%, all P < 0.05), except for balance and flexibility (both P > 0.05) (Table 3).
Muscle strength (1-RM)
Dynamic muscle strength (1-RM) in SLE patients and controls*
Difference between means
(n = 25)
(n = 25)
Leg press, kg
71.1 ± 18.6
95.6 ± 19.7
24.5 (13.6; 35.5)
Leg extension, kg
64.7 ± 10.6
72.9 ± 13.9
8.1 (1.1; 15.2)
Leg curl, kg
30.2 ± 5.2
35.8 ± 6.9
5.6 (2.1; 9.1)
Chest press, kg
34.7 ± 7.2
43.1 ± 7.9
8.4 (4.1; 12.7)
Lat pulldown, kg
36.2 ± 6.4
41.8 ± 5.8
5.6 (2.2; 9.1)
47.4 ± 8.1
57.8 ± 8.7
10.4 (5.7; 15.0)
1-RM-total, kg/kg of body weight
0.8 ± 0.1
1.0 ± 0.1
0.2 (0.1; 0.2)
Linear regression model
Association between dynamic muscle strength and functional performance tests, SF-36 subscale and fatigue score
Role-physical functioning (SF-36)
Role-emotional functioning (SF-36)
Timed chair-stand test
No adverse events were recorded during the experimental period. Additionally, none of the patients reported joint pain at time of testing.
The novel finding of this study is that premenopausal SLE patients with low disease activity show lower dynamic muscle strength (upper- and lower-limb) when compared with their healthy peers. Furthermore, we provided the evidence that lower dynamic muscle strength was associated with fatigue, low functional performance, and poor quality of life (namely, role-emotional functioning) in SLE patients.
Our results are in agreement with those by Tench et al.  and Stockton et al. , who demonstrated that SLE patients have lower isometric muscle strength when compared with healthy controls. However, the aforementioned studies evaluated muscle strength using isometric tests. In this regard, one may argue that dynamic strength tests may be more informative than static tests in terms of physical function evaluation because daily living functioning primarily encompasses dynamic rather than isometric contractions . In fact, the significant association between dynamic strength (i.e., 1-RM) and physical function assessments (i.e., chair timed-stands) observed in the current study further supports this notion.
Fatigue scores (as assessed by the FSS questionnaire) lower than 4.0 suggest that fatigue is not severe enough to limit participation in daily living physical activities. Conversely, FSS scores higher than 4.0 suggest that fatigue is perceived to adversely affect the ability to engage in physical and social activities . In the current study, however, the SLE patients scored 3.5 on average (with 15 of 25 patients having FSS scores lower than 4). However, the patients experienced decreased physical function, low dynamic muscle strength capacity, and poor quality of life, suggesting that either “residual” fatigue or other factors (e.g., long-term medication or systemic inflammation) may have contributed to the poor health-related findings demonstrated in this study. Further studies must elucidate the role of fatigue on health-related parameters in SLE patients.
We observed that even with low fatigue and low disease activity scores, 20% (5 of 25) of the SLE patients showed handgrip strength between 17 and 20 kg. Notably, these values are considered a marker of sarcopenia . The handgrip strength test has been considered a clinical marker of mobility [23, 31] and lower limb muscle strength . Moreover, a 5-kg increase in handgrip strength has been associated with a significantly reduced mortality risk . This fact, along with the fact that the handgrip strength test has been proven reliable in SLE patients , make this simple and inexpensive tool an emerging marker of clinical relevance. Further prospective studies should test its ability as a prognostic marker in SLE.
Our study must be interpreted in light of its strengths and limitations. Although a few studies have also demonstrated lower physical function in SLE patients [7, 8], these studies did not control for important confounding factors that affect physical performance, such as obesity , fibromyalgia [9, 10], perimenopause , smoking , use of beta-blocker  and statins , activities of daily living, physical activity level , and socioeconomic-status . In the present study, we did correct for these confounding factors; therefore, their influence on the muscle strength may be considered minimal.
However, this study is not without limitations. First, the cross-sectional nature of this study precluded us to establish cause-effect relationships between muscle strength and health-related parameters in SLE patients (e.g., role-emotional functioning from SF-36). Second, our homogeneous sample comprised premenopausal SLE patients with low disease activity and who were free of comorbidities and associated diseases. Therefore, one cannot extrapolate the present results to older or younger patients with more severe disease. Finally, our sample size was relatively low. Further studies should test the accuracy of our multivariate model in a larger patient cohort.
In conclusion, the current study provided novel evidence that lower- and upper-body dynamic muscle strength is reduced in premenopausal SLE patients with low disease activity when compared with their controls. Importantly, we also demonstrated that lower dynamic muscle strength is associated with fatigue, low functional performance, and poor quality of life in SLE patients.
SB, LSN, DCN, RAT and FSS were responsible for concept and design, statistical expertise, data analysis and interpretation, helped write the manuscript. SB and LSN were responsible for data analysis and interpretation and helped write the manuscript, BC, JFC, RCM and LMHM were significant manuscript reviewers/ revisers and were responsible for data analysis and interpretation. SB, LSN and BC were significant manuscript reviewers/revisers and were responsible for data acquisition. BC, JFC, RCM and LMHM were a significant manuscript reviewer/reviser and were responsible for data acquisition, analysis and interpretation. All authors have read and approved the manuscript for publication.
The present study is part of the LUPUSFIT Study, which aims to explore the influence of physical fitness upon a variety of health-related parameters in Brazilian patients with SLE in association with the laboratory of Physical Fitness and Rheumatology of Brasília - LAR Brasília. We would like to thank Francisco Aires Correa Lima, Rodrigo Lima, Cezar Kozak, Regina A F Von Kircheheim, Ana Oliveira, Clarissa Ferreira, and Larissa Pessoa for screening the patients.
- Krupp LB, LaRocca NG, Muir J, Steinberg AD: A study of fatigue in systemic lupus erythematosus. J Rheumatol. 1990, 17: 1450-1452.PubMedGoogle Scholar
- Balsamo S, Santos-Neto LD: Fatigue in systemic lupus erythematosus: an association with reduced physical fitness. Autoimmun Rev. 2011, 10: 514-518. 10.1016/j.autrev.2011.03.005.View ArticlePubMedGoogle Scholar
- Wijndaele K, Duvigneaud N, Matton L, Duquet W, Thomis M, Beunen G, et al.: Muscular strength, aerobic fitness, and metabolic syndrome risk in Flemish adults. Med Sci Sports Exerc. 2007, 39: 233-240. 10.1249/01.mss.0000247003.32589.a6.View ArticlePubMedGoogle Scholar
- Gale CR, Martyn CN, Cooper C, Sayer AA: Grip strength, body composition, and mortality. Int. J. Epidemiol. 2007, 36: 228-235. 10.1093/ije/dyl224.View ArticlePubMedGoogle Scholar
- Ruiz JR, Sui X, Lobelo F, Morrow JR, Jackson AW, Sjostrom M, et al.: Association between muscular strength and mortality in men: prospective cohort study. BMJ. 2008, 337: a439-10.1136/bmj.a439.View ArticlePubMedPubMed CentralGoogle Scholar
- Sasaki H, Kasagi F, Yamada M, Fujita S: Grip strength predicts cause-specific mortality in middle-aged and elderly persons. Am J Med. 2007, 120: 337-342. 10.1016/j.amjmed.2006.04.018.View ArticlePubMedGoogle Scholar
- Tench C, Bentley D, Vleck V, McCurdie I, White P, D'Cruz D: Aerobic fitness, fatigue, and physical disability in systemic lupus erythematosus. J Rheumatol. 2002, 29: 474-481.PubMedGoogle Scholar
- Stockton KA, Kandiah DA, Paratz JD, Bennell KL: Fatigue, muscle strength and vitamin D status in women with systemic lupus erythematosus compared to healthy controls. Lupus. 2011Google Scholar
- Aparicio VA, Ortega FB, Heredia JM, Carbonell-Baeza A, Sjostrom M, Delgado-Fernandez M: Handgrip strength test as a complementary tool in the assessment of fibromyalgia severity in women. Arch Phys Med Rehabil. 2011, 92: 83-88. 10.1016/j.apmr.2010.09.010.View ArticlePubMedGoogle Scholar
- Valkeinen H, Hakkinen A, Alen M, Hannonen P, Kukkonen-Harjula K, Hakkinen K: Physical fitness in postmenopausal women with fibromyalgia. Int J Sports Med. 2008, 29: 408-413. 10.1055/s-2007-965818.View ArticlePubMedGoogle Scholar
- Oliveira RJ, Bottaro M, Junior JT, Farinatti PT, Bezerra LA, Lima RM: Identification of sarcopenic obesity in postmenopausal women: a cutoff proposal. Braz J Med Biol Res. 2011, 44: 1171-1176. 10.1590/S0100-879X2011007500135.View ArticlePubMedGoogle Scholar
- Ostbye T, Taylor DH, Krause KM, van Scoyoc L: The role of smoking and other modifiable lifestyle risk factors in maintaining and restoring lower body mobility in middle-aged and older Americans: results from the HRS and AHEAD. Health and Retirement Study. Asset and Health Dynamics Among the Oldest Old. J Am Geriatr Soc. 2002, 50: 691-699. 10.1046/j.1532-5415.2002.50164.x.View ArticlePubMedGoogle Scholar
- Helfand M, Peterson K, Christensen V, Dana T, Thakurta S: Drug Class Review: Beta Adrenergic Blockers: Final Report Update 4 [Internet]. 2009, Available from: http://www.ncbi.nlm.nih.gov/books/NBK47172/ Google Scholar
- Evangelista LS, Moser DK, Westlake C, Pike N, Ter-Galstanyan A, Dracup K: Correlates of fatigue in patients with heart failure. Prog Cardiovasc Nurs. 2008, 23: 12-17.View ArticlePubMedPubMed CentralGoogle Scholar
- Keyser RE, Rus V, Cade WT, Kalappa N, Flores RH, Handwerger BS: Evidence for aerobic insufficiency in women with systemic Lupus erythematosus. Arthritis Rheum. 2003, 49: 16-22. 10.1002/art.10926.View ArticlePubMedGoogle Scholar
- Bombardier C, Gladman DD, Urowitz MB, Caron D, Chang CH: Derivation of the SLEDAI. A disease activity index for lupus patients. The Committee on Prognosis Studies in SLE. Arthritis Rheum. 1992, 35: 630-640. 10.1002/art.1780350606.View ArticlePubMedGoogle Scholar
- Cook RJ, Gladman DD, Pericak D, Urowitz MB: Prediction of short term mortality in systemic lupus erythematosus with time dependent measures of disease activity. J Rheumatol. 2000, 27: 1892-1895.PubMedGoogle Scholar
- Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al.: International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003, 35: 1381-1395. 10.1249/01.MSS.0000078924.61453.FB.View ArticlePubMedGoogle Scholar
- Stoll T, Gordon C, Seifert B, Richardson K, Malik J, Bacon PA, et al.: Consistency and validity of patient administered assessment of quality of life by the MOS SF-36; its association with disease activity and damage in patients with systemic lupus erythematosus. J Rheumatol. 1997, 24: 1608-1614.PubMedGoogle Scholar
- Jackson AS, Pollock ML, Ward A: Generalized equations for predicting body density of women. Med Sci Sports Exerc. 1980, 12: 175-181.PubMedGoogle Scholar
- Rikli RE, Jones J: The senior fitness test. Defining functional fitness parameters. Senior Fitness Test Manual. Edited by: Rikli RE, Jones J. 2001, Champaign, IL: Human Kinetics, 11-24.Google Scholar
- Heyward VH: Assessing muscular fitness. Advanced fitness assessment. Edited by: Heyward VH. 2010, Champaign, IL: Human Kinetics, 129-154.Google Scholar
- Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al.: Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010, 39: 412-423. 10.1093/ageing/afq034.View ArticlePubMedPubMed CentralGoogle Scholar
- Toulotte C, Thevenon A, Fabre C: Effects of training and detraining on the static and dynamic balance in elderly fallers and non-fallers: a pilot study. Disabil Rehabil. 2006, 28: 125-133. 10.1080/09638280500163653.View ArticlePubMedGoogle Scholar
- Heyward VH: Assessing flexibility. Advanced fitness assessment. Edited by: Heyward VH. 2010, Champaign, IL: Human Kinetics, 265-282.Google Scholar
- Kraemer WJ, Ratamess NA, Fry A, French DN: Strength testing: development and evalution on methodology. Physiological assessment of human fitness. Edited by: Maud P, Foster C. 2006, Champaign, IL: Human Kinetics, 119-150.Google Scholar
- Dourado VZ, Antunes LC, Tanni SE, de Paiva SA, Padovani CR, Godoy I: Relationship of upper-limb and thoracic muscle strength to 6-min walk distance in COPD patients. Chest. 2006, 129: 551-557. 10.1378/chest.129.3.551.View ArticlePubMedGoogle Scholar
- Levinger I, Goodman C, Hare DL, Jerums G, Toia D, Selig S: The reliability of the 1RM strength test for untrained middle-aged individuals. J Sci Med Sport. 2009, 12: 310-316. 10.1016/j.jsams.2007.10.007.View ArticlePubMedGoogle Scholar
- Villareal DT, Chode S, Parimi N, Sinacore DR, Hilton T, Armamento-Villareal R, et al.: Weight loss, exercise, or both and physical function in obese older adults. N Engl J Med. 2011, 364: 1218-1229. 10.1056/NEJMoa1008234.View ArticlePubMedPubMed CentralGoogle Scholar
- Balsamo S, Nascimento DD, Tibana RA, Santana FS, Mota LM, Santos-Neto LL: The quality of life of patients with lupus erythematosus influences cardiovascular capacity in 6-minute walk test. Rev Bras Reumatol. 2013, 53: 81-87. 10.1590/S0482-50042013000100008.View ArticleGoogle Scholar
- Xue QL, Walston JD, Fried LP, Beamer BA: Prediction of Risk of Falling, Physical Disability, and Frailty by Rate of Decline in Grip Strength: The Women's Health and Aging Study. Arch Intern Med. 2011, 171: 1119-1121. 10.1001/archinternmed.2011.252.View ArticlePubMedGoogle Scholar
- Stockton KA, Wrigley TV, Mengersen KA, Kandiah DA, Paratz JD, Bennell KL: Test-retest reliability of hand-held dynamometry and functional tests in systemic lupus erythematosus. Lupus. 2011, 20: 144-150. 10.1177/0961203310388448.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/14/263/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.