Abstract
Summary
This study examined associations between physical performance assessed by chair rising test muscle mechanography and DXA T-score as well as body composition in a large patient cohort. Next to various significant interrelationships between these muscle and bone parameters, lower physical performance was associated with prevalent fragility fractures.
Purpose
Although the interaction between muscle and bone has been demonstrated in various aspects, the clinical focus in the diagnosis of musculoskeletal disorders mainly lies on the skeletal assessments. Accordingly, the association between muscle function, bone mineral density (BMD), and fragility fractures remains to be further elucidated with a feasible muscle assessment in a clinical setting.
Methods
Patient data (2076 patients, 1538 women, 538 men) were evaluated retrospectively from a large dual energy X-ray absorptiometry (DXA) database as well as from chair rising test (CRT) that was performed on a muscle mechanograph. To determine potential predictors of the CRT time and maximum force, a multivariate regression analysis was performed including age, DXA T-score, and body composition indices. Furthermore, CRT results were compared between non-fracture and fracture cases.
Results
We determined independent predictors for CRT time such as age, femoral DXA T-score, and total fat mass, whereas CRT force was only influenced by total lean mass. Both women and men with previous fragility fractures displayed a longer CRT time (women p = 0.009, men p = 0.001) and lower CRT force (women p < 0.001, men p < 0.001) than those with no fractures, while no clear differences in CRT results could be detected between normal BMD, osteopenia, and osteoporosis based on DXA T-scores.
Conclusions
Our study demonstrates that in addition to the associations between chair rising time and femoral T-score assessed by DXA, low muscle strength is associated with previous fragility fractures.
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Introduction
Bone and skeletal muscle are the two largest tissues in the body and demonstrate a strong functional connection, both mechanically and biochemically. On a molecular level, the muscle-bone crosstalk is regarded to be of major relevance [1, 2]. Namely, bone cells secrete circulating factors that can affect muscle function, i.e., osteocalcin, which is secreted predominantly by late osteoblasts and affects the energy metabolism and most likely also muscle activity [3]. Muscle contractile function can be stimulated by osteocyte-secreted factors through the activation of the Wnt/beta-Catenin pathway in muscle cells [4]. Reversely, muscle-secreted factors, so-called myokines, can have effects on bone tissue [2]. Given the regional effect of muscular strength on bone mineral density (BMD) in patients [5, 6], muscle tests have been suggested as appropriate method to select patients that could benefit from a bone densitometry and subsequent treatment decision [7]. In fact, quadriceps strength was found to be strongly associated with femoral neck BMD [8]. Furthermore, low grip strength was associated with bone mineral density and vertebral fracture risk in women [9].
While BMD measurements are usually performed by dual energy X-ray absorptiometry (DXA) at the hip and spine, muscle mechanography represents a method that can quantitatively assess muscle function using a ground force reaction plate (GRFP) [10]. Mechanography has many advantages including the high reproducibility and sensitivity as opposed to other non- or semi-quantitative tests [11]. Although it is known that peak forces in the vertical jump and one-legged hopping test (other common mechanography tests) are double those observed in the chair rising test [12], these tests are not practicable in a clinical setting in, i.e., elderly and osteoporotic patients. Furthermore, a high correlation between jumping mechanography and chair rising test results was previously noted (r = 0.86, [13]). The chair rising test combined with muscle mechanography represents a muscle performance test that is feasible in a clinical setting and that can be applied in nearly all patients.
We have evaluated DXA measurements from the spine and both hips and body composition indices as well as chair rising test (CRT) results (i.e., time and maximum force) derived from a GRFP and the presence of previous fragility fractures in a large patient collective to test for the various and site-specific interrelationships between BMD and muscle strength. Accordingly, the aim of the present study was to determine the associations between the chair rising test and bone mass parameters as well as fracture data. As it is furthermore not clear if patients with discrepancies in BMD between both legs (right vs. left) have equal differences in muscle strength, we have tested for the associations between DXA and CRT ratios from both legs. In this article, we point out that fragility fractures are associated with longer CRT time and lower maximum force in both women and men. Longer CRT time was furthermore predicted by lower femoral T-score, while spinal T-score was not associated with the CRT results when adjusted for body mass index.
Methods
Dual energy X-ray absorptiometry
Data from 2076 patients (1538 women, 538 men) measured with dual energy X-ray absorptiometry (DXA, Lunar iDXA, GE Healthcare; Madison, WI, USA) were evaluated retrospectively from 2013 to 2017. Namely, the areal bone mineral density (aBMD, absolute values) as well as DXA T-scores and Z-scores were determined and evaluated from both hips and the lumbar spine. From the 2076 patients, 1182 (873 women, 309 men) were additionally measured by whole body DXA including measures of total lean mass and total fat mass. This subgroup with available whole body DXA was equal in sex distribution (complete study group: 74.1% women; subgroup = 73.9% women) as well as in age (complete study group: women = 64.7, men = 61.8; subgroup: women = 64.3, men = 62.5 years) and BMI (complete study group: women = 23.9, men = 26.0; subgroup: women = 23.7, men = 25.9 kg/m2). DXA quality assurance was achieved following the institutional standard operating procedures (SOPs) and by daily calibration scans with a special phantom according to the manufacturer’s recommendations. Furthermore, precision tests including least significant change calculations were performed regularly according to the recommendations of the International Society for Clinical Densitometry (ISCD).
Chair rising test on a ground force reaction plate
Physical performance was tested using a Leonardo Mechanograph® Ground Force Reaction Plate (Leonardo GFRP, Novotec Medical GmbH, Pforzheim, Germany) in all patients. For this purpose, a specific bench was installed on the force plate at height of 45 cm. After sitting on the bench with both feet on the ground, patients were instructed to stand up straight and sit down again as fast as possible for five cycles [10]. Both CRT time per cycle and maximum force in kN in both legs were documented for chair rising tests performed on the mechanograph. Reference values for this test have been previously published [14].
Fragility fracture history
The medical records of the patients were evaluated regarding the presence of any previous fragility fracture as well as previous vertebral fracture, non-vertebral fracture, or no fracture. A total of 35.7% of men and 36.6% of women had a previous fragility fracture. Vertebral fractures were diagnosed by conventional radiography, or if not available, confirmed with vertebral fracture assessment (VFA) by DXA. The included non-vertebral fractures were classical fragility fractures including the distal forearm and proximal humerus as well as the femoral neck, while traumatic causes for fractures served as exclusion criteria.
Study design and statistical analysis
We have included the patients with a DXA T-score between − 6 and + 2.5, thereby excluding strong outliers with very low or high bone mass with possible monogenetic causes. As the diagnostic tests were conducted in a large outpatient clinic for skeletal disorders, patients with osteoporosis and other typical skeletal diseases underwent these tests and were subsequently included in the database. Regarding the chair rising time, values 1.5 times the interquartile range above the 75th seconds quartile (> 4.4761 s per cycle) were interpreted as statistical outliners (potential measurement errors, e.g., patients did not follow the instructions to get up from the bench as quickly as possible). As a result, values above 4.4761 s may represent potential measurement errors, which is why they were excluded from the analysis. Body mass index (height and weight) was assessed from all patients prior to the DXA and CRT measurement. The included patients ranged from underweight to obesity with a BMI of 14 to 50 kg/m2 (mean 24.9 ± 4.9 kg/m2). This study was approved by the local ethics committee (PV3874).
An overview of the study design can be found in Fig. 1a while the basic characteristics of the study population are demonstrated in Table 1. SPSS 25 software (version 25.0, IBM, Armonk, NY, USA) was used for statistical analyses. The quantitative characteristics are presented as mean ± SD. Normal distribution of the data was tested with the Kolmogorov–Smirnov test. To test the differences between the study groups, we used the unpaired two-sided t test on the normally distributed data.
Subsequently, male and female subjects were evaluated separately. To test for correlations between the variables such as femoral T-score or lean mass and CRT time or force, Pearson’s correlation analysis was performed, while r represents the linear correlation coefficient. In order to determine potential predictors of CRT time and force, we performed a multivariate regression model including age, BMI, and DXA T-score at the lumbar spine and the hip, as well as lean mass and fat mass including all predictors at a single step. The association between CRT time and DXA T-score in the spine and hip was adjusted for BMI in a separate partial correlation model.
CRT time and force were compared between three groups: “normal” (T-score between − 1 and + 1), “osteopenia” (T-score between − 2.5 and − 1), and “osteoporosis” (T-score lower than − 2.5) based on DXA T-scores. Lastly, we compared the CRT time and force of women and men with no fractures, any fragility fracture as well as vertebral and non-vertebral fractures alone. The CRT-fracture associations were furthermore tested for interactions with sex, age, and BMD by analysis of covariance (ANCOVA). p values of < 0.05 were considered statistically significant.
Results
Overview of DXA and CRT results
The results from the DXA scans were normally distributed with a mean T-score within the osteopenia range for the spine and the hip in both women and men mirroring the selective patient collective in a setting of a specialized outpatient clinic for osteoporosis and other metabolic bone diseases. However, the overall mean DXA Z-scores were essentially only very moderately decreased (Fig. 1a, Table 1). The differences in age, weight, BMI, DXA, and mechanography results between women and men are demonstrated in Table 1. Specifically, women demonstrated with a lower BMI, a lower spinal T-score, a proportional higher fat mass to lean mass ratio (59.1 vs. 42.3%), and a lower CRT strength compared to men. While we could not detect differences in CRT time, the CRT maximum force/weight (N/kg) was slightly higher in women.
Initial correlation analyses
In the first part of the analysis, we tested for correlations between bone mineral density (DXA T-score) and muscle performance. There was no significant correlation for the lowest femoral T-score and the CRT time in women (Fig. 1b). However in men, the femoral T-score correlated significantly with the CRT time indicating a shorter CRT time with better DXA T-score (Fig. 1c). In women, there was a significant correlation between total lean mass and CRT maximum force (Fig. 1d), while in men, we found an even higher significant correlation between total lean mass and CRT force (Fig. 1e).
Predictors for muscle performance using a multivariate regression analysis
We used a multivariate regression model to search for independent predictors for CRT time and force in both women and men. Age, BMI, DXA T-score, lean mass, and fat mass were included as variables (Table 2). Age was identified as an independent predictor for CRT time and force, while BMI did not serve as a predictor for these muscle measures.
In this model, no associations between DXA values and CRT maximum force were found. However, lower femoral T-score was associated with longer CRT time in women and men. Although, in this model, low spinal T-score predicted shorter CRT time, there was no effect between spinal T-score and CRT time when adjusting for BMI in a partial correlation (r = 0.057; p = 0.083). The negative correlation between CRT time and femoral T-score remained significant after adjustment for BMI (r = − 0.1; p = 0.002). Total lean mass was significantly associated with muscle force, while total fat mass was associated with CRT time in both sexes (Table 2).
Fragility fractures and muscle performance
When comparing three groups based on DXA T-scores “normal” (T-score between − 1 and + 1), “osteopenia” (T-score between − 2.5 and − 1), and “osteoporosis” (T-score lower than − 2.5), no significant differences in CRT time or force were seen in women (Fig. 2a, b). In men, we detected a significantly longer CRT time in osteoporosis cases compared to those subjects with a normal T-score, while a lower CRT force was found in the osteopenia compared to the normal group (Fig. 2c, d).
We then compared the CRT time and force in patients with no fractures compared to patients with any fragility fracture as well as to those with vertebral and non-vertebral fractures. The characteristics of these study groups are shown in Supplemental Table 1. The fragility fracture group was significantly older; however, age did not additionally influence the association between fracture and CRT results (CRT time women p = 0.99, men p = 0.43; CRT force women p = 0.75, men p = 0.12). Furthermore, ANCOVA analysis of CRT time and the presence of fractures revealed no sex-specific influence (p = 0.22). In contrast, the association of CRT force and fracture was highly sex-specific (p = 0.005). As a result, both sexes were evaluated separately. Both sexes demonstrated a significantly longer CRT time as well as a lower CRT force when having any fragility fracture or vertebral fractures (Fig. 3). Additionally, women but not men with non-vertebral fracture displayed significantly longer CRT time and lower force compared to the no fracture group. When additionally adjusting for BMD in ANCOVA analysis, the association between fractures and CRT values were not additionally influenced by BMD measurements (p = 0.18 for CRT force p = 0.888 for CRT time).
Site-specificity right vs. left limb
To test whether patients with local differences in BMD between the right and left hip have equal discrepancies in CRT force between the right and left leg, the ratios of DXA BMD and CRT force right to left leg were correlated. Both the DXA BMD ratio and the CRT force ratio were normally distributed with a mean of 0.994–1.03 indicating that an equal amount of patients had a higher right or left BMD and CRT result. When comparing the ratios of DXA BMD and CRT force, there was a weak significant correlation indicating a possible local effect of muscle and bone interaction (Fig. 4a, b). When comparing only the trochanter BMD with CRT force, there was a higher correlation between these ratios (Fig. 4c, d). In general, men presented with higher correlation coefficients than women regarding the site-specificity.
Discussion
In this study, we have demonstrated the significant predictive value of femoral BMD expressed by T-score on muscle performance expressed by chair rising time. The analysis of prevalent fragility fractures additionally revealed a significantly reduced muscle performance in patients with previous fragility fracture compared to those with no fractures. While no associations between maximum force and DXA values could be detected, higher spinal T-score surprisingly predicted a longer CRT time. However, given the confounding positive influence of BMI on BMD [15], a separate partial correlation analysis revealed no association between spinal T-score and CRT time when adjusted for BMI.
While other studies have found positive correlations between muscle force and BMD [5, 8], another study on 862 women could also not confirm a significant association after adjusting for lean mass [16]. The results derived from CRT are not only important regarding their association with BMD but may also help clinicians to predict fall risk with subsequent risk of fracture [17]. It is well known that DXA has a number of limitations, which is why many patients suffer from fragility fractures although having T-scores within the normal or osteopenic range [18, 19]. A major effect of muscle strength on fall and fracture risk independent from BMD is known [17, 20] and was supported by our findings, which revealed that fragility fractures correlated with CRT values with no additional interaction with BMD. In fact, objective measures of lower-extremity function were previously found to be highly predictive of subsequent disability [21]. Additionally, it was shown previously that both men and women with poor physical performance (i.e., inability to rise from a chair) have a higher risk for hip fractures [22, 23]. The prevalence of vertebral fracture increased significantly as jump power decreased [24]. In general, it is of major relevance to identify the patients with increased fall risk and subsequent risk of fracture by physical performance tests, i.e., chair rising test.
DXA remains the gold standard for the detection of muscle mass and body composition [25]. A positive association was detected between total lean mass and CRT maximum force indicating better physical performance with higher lean mass. An increased maximum force assessed by mechanography has been previously detected in obese male adolescents [26]. A significant correlation between lean mass and functional tests like grip strength and two-leg jump test was previously found in community-dwelling adults (men and women) [27]. We could also detect an increasing CRT time with increasing fat mass indicating possible limitations to get up from the bench.
Lastly, we tested whether patients with local discrepancies in BMD between the right and left hip have equal discrepancies in CRT force between the right and left leg. Men exhibited a higher correlation between the DXA BMD ratio and the CRT force ratio of the right to the left limb. These results point to possible differences in local muscle and bone interactions between the sexes. The fact that trochanter BMD and CRT force yielded higher r values than total femoral BMD could speak for a possible local muscle-bone interaction as well as muscle insertion at the greater trochanter (i.e., gluteus medius muscle) leading to osteoanabolic stimuli.
The limitations of this study include the retrospective study design and the inability to assess further clinical data from the patients. Therefore, a number of secondary diagnoses with possible effects on BMD and muscle strength could not be excluded. Both sexes were evaluated separately and the correlations between BMI, lean mass, BMD, and CRT parameters were tested. All of the analyses were based on a selective patient collective derived from a specialized outpatient clinic for musculoskeletal diseases.
In conclusion, our work offers insights into the significant negative association between femoral DXA T-scores and CRT time. While this suggests better physical performance with higher bone mass at the femur, no clear association was found between spinal DXA values and CRT time as well as DXA values at any skeletal site and the maximum force on the muscle mechanograph. Importantly, women and men with previous fragility fractures displayed lower CRT values compared to non-fracture patients. To our knowledge, this is the largest study that includes measures of BMD, physical performance determined by CRT muscle mechanography, and their association with fracture data. Next to DXA measurements that have been found to correlate only poorly with fracture risk, physical performance tests such as CRT potentially represent an additional measure for frailty, sarcopenia, and subsequent fracture risk.
References
Brotto M, Bonewald L (2015) Bone and muscle: interactions beyond mechanical. Bone 80:109–114
Maurel DB, Jahn K, Lara-Castillo N (2017) Muscle-bone crosstalk: emerging opportunities for novel therapeutic approaches to treat musculoskeletal pathologies. Biomedicines 5
Karsenty G, Mera P (2017) Molecular bases of the crosstalk between bone and muscle. Bone
Huang J, Romero-Suarez S, Lara N, Mo C, Kaja S, Brotto L, Dallas SL, Johnson ML, Jahn K, Bonewald LF, Brotto M (2017) Crosstalk between MLO-Y4 osteocytes and C2C12 muscle cells is mediated by the Wnt/beta-catenin pathway. JBMR plus 1:86–100
Ahedi H, Aitken D, Scott D, Blizzard L, Cicuttini F, Jones G (2014) The association between hip muscle cross-sectional area, muscle strength, and bone mineral density. Calcif Tissue Int 95:64–72
Hardcastle SA, Gregson CL, Rittweger J, Crabtree N, Ward K, Tobias JH (2014) Jump power and force have distinct associations with cortical bone parameters: findings from a population enriched by individuals with high bone mass. J Clin Endocrinol Metab 99:266–275
Karkkainen M, Rikkonen T, Kroger H, Sirola J, Tuppurainen M, Salovaara K, Arokoski J, Jurvelin J, Honkanen R, Alhava E (2009) Physical tests for patient selection for bone mineral density measurements in postmenopausal women. Bone 44:660–665
Blain H, Vuillemin A, Teissier A, Hanesse B, Guillemin F, Jeandel C (2001) Influence of muscle strength and body weight and composition on regional bone mineral density in healthy women aged 60 years and over. Gerontology 47:207–212
Dixon W, Lunt M, Pye S, Reeve J, Felsenberg D, Silman A, O’neill T (2005) Low grip strength is associated with bone mineral density and vertebral fracture in women. Rheumatology 44:642–646
Taani MH, Kovach CR, Buehring B (2017) Muscle Mechanography: a novel method to measure muscle function in older adults. Res Gerontol Nurs 10:17–24
Buehring B, Krueger D, Fidler E, Gangnon R, Heiderscheit B, Binkley N (2015) Reproducibility of jumping mechanography and traditional measures of physical and muscle function in older adults. Osteoporos Int 26:819–825
Dionyssiotis Y, Galanos A, Michas G, Trovas G, Lyritis GP (2010) Assessment of musculoskeletal system in women with jumping mechanography. Int J Womens Health 1:113–118
Rittweger J, Schiessl H, Felsenberg D, Runge M (2004) Reproducibility of the jumping mechanography as a test of mechanical power output in physically competent adult and elderly subjects. J Am Geriatr Soc 52:128–131
Dietzel R, Gast U, Heine T, Felsenberg D, Armbrecht G (2013) Cross-sectional assessment of neuromuscular function using mechanography in women and men aged 20-85 years. J Musculoskelet Neuronal Interact 13:312–319
De Laet C, Kanis JA, Oden A, Johanson H, Johnell O, Delmas P, Eisman JA, Kroger H, Fujiwara S, Garnero P, McCloskey EV, Mellstrom D, Melton LJ 3rd, Meunier PJ, Pols HA, Reeve J, Silman A, Tenenhouse A (2005) Body mass index as a predictor of fracture risk: a meta-analysis. Osteoporos Int 16:1330–1338
Pasco JA, Holloway KL, Brennan-Olsen SL, Moloney DJ, Kotowicz MA (2015) Muscle strength and areal bone mineral density at the hip in women: a cross-sectional study. BMC Musculoskelet Disord 16:124
Dietzel R, Felsenberg D, Armbrecht G (2015) Mechanography performance tests and their association with sarcopenia, falls and impairment in the activities of daily living-a pilot cross-sectional study in 293 older adults. J Musculoskelet Neuronal Interact 15:249–256
Sornay-Rendu E, Boutroy S, Munoz F, Delmas PD (2007) Alterations of cortical and trabecular architecture are associated with fractures in postmenopausal women, partially independent of decreased BMD measured by DXA: the OFELY study. J Bone Miner Res 22:425–433
Boutroy S, Khosla S, Sornay-Rendu E, Zanchetta MB, McMahon DJ, Zhang CA, Chapurlat RD, Zanchetta J, Stein EM, Bogado C, Majumdar S, Burghardt AJ, Shane E (2016) Microarchitecture and peripheral BMD are impaired in postmenopausal white women with fracture independently of total hip T-score: an international multicenter study. J Bone Miner Res 31:1158–1166
Rantalainen T, Nikander R, Heinonen A, Multanen J, Häkkinen A, Jämsä T, Kiviranta I, Linnamo V, Komi PV, Sievänen H (2010) Neuromuscular performance and body mass as indices of bone loading in premenopausal and postmenopausal women. Bone 46:964–969
Guralnik JM, Ferrucci L, Simonsick EM, Salive ME, Wallace RB (1995) Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. N Engl J Med 332:556–561
Cummings SR, Nevitt MC, Browner WS, Stone K, Fox KM, Ensrud KE, Cauley J, Black D, Vogt TM (1995) Risk factors for hip fracture in white women Study of Osteoporotic Fractures Research Group. N Engl J Med 332:767–773
Cawthon PM, Fullman RL, Marshall L, Mackey DC, Fink HA, Cauley JA, Cummings SR, Orwoll ES, Ensrud KE, Osteoporotic Fractures in Men Research G (2008) Physical performance and risk of hip fractures in older men. J Bone Miner Res 23:1037–1044
Lee EY, Lee SJ, Kim KM, Seo DH, Lee SW, Choi HS, Kim HC, Youm Y, Kim CO, Rhee Y (2017) Lower jump power rather than muscle mass itself is associated with vertebral fracture in community-dwelling elderly Korean women. Calcif Tissue Int 100:585–594
Tosato M, Marzetti E, Cesari M, Savera G, Miller RR, Bernabei R, Landi F, Calvani R (2017) Measurement of muscle mass in sarcopenia: from imaging to biochemical markers. Aging Clin Exp Res 1–9
Vandewalle S, Taes Y, Van Helvoirt M, Debode P, Herregods N, Ernst C, Roef G, Van Caenegem E, Roggen I, Verhelle F, Kaufman JM, De Schepper J (2013) Bone size and bone strength are increased in obese male adolescents. J Clin Endocrinol Metab 98:3019–3028
Buehring B, Siglinsky E, Krueger D, Evans W, Hellerstein M, Yamada Y, Binkley N (2017) Comparison of muscle/lean mass measurement methods: correlation with functional and biochemical testing. Osteoporos Int
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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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Study design: MA and T Rolvien. Study conduct: T Rupp, SB, MJKS, HM, RO, FB, MA, and T Rolvien. Data analysis: T Rupp, SB, KJ, MJKS, HM, RO, FB, MA, and T Rolvien. Drafting manuscript: T Rupp and T Rolvien. Revising manuscript: T Rupp, SB, KJ, MJKS, HM, RO, FB, MA, and T Rolvien. T Rupp and T Rolvien take responsibility for the integrity of the data analysis.
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This study was approved by the local ethics committee (PV3874).
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Rupp, T., Butscheidt, S., Jähn, K. et al. Low physical performance determined by chair rising test muscle mechanography is associated with prevalent fragility fractures. Arch Osteoporos 13, 71 (2018). https://doi.org/10.1007/s11657-018-0490-0
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DOI: https://doi.org/10.1007/s11657-018-0490-0