Effects of one-year intradialytic exercise with ergometer on body composition, physical activity, and dialysis adequacy

Effects of one-year intradialytic exercise with ergometer on body composition, physical activity, and dialysis adequacy | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Effects of one-year intradialytic exercise with ergometer on body composition, physical activity, and dialysis adequacy Kazutoshi Ono, Takahiro Masuda, Yuki Akiyama, Ryo Matsuoka, Tetsu Akimoto, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6383661/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Dialysis patients are at a high risk of sarcopenia. To prevent sarcopenia in these patients, exercise programs, especially during dialysis sessions, have recently been used. However, the long-term effects of intradialytic exercise on body composition, physical function, and dialysis adequacy have not been fully elucidated. Methods Fourteen dialysis patients were divided into an ergometer group (n = 8), with intradialytic exercise using an ergometer and the non-ergometer group (n = 6) without intradialytic exercise. Bioimpedance analysis for measuring body composition and physical function tests were performed during the one-year study period. Results There were no patient dropouts from the study. Ergometer exercise increased the percentage change in skeletal muscle mass (non-ergometer 2.01%±2.93% vs. ergometer 6.27%±2.12%, p = 0.005), leg muscle mass (5.85%±12.88% vs. 15.39%±8.78%, p = 0.073), bone mineral content (4.50%±6.18% vs. 9.69%±1.77%, p = 0.036), and decreased the percentage change in body fat percentage (-4.46%±16.30% vs. -14.24%±6.86%, p = 0.098). Lower limb physical function mildly improved, and Kt/V changed to a positive value in the ergometer group. Conclusions One-year intradialytic ergometer exercise increased lower limb muscle mass and bone mineral content, and decreased body fat percentage in dialysis patients. Additionally, it mildly increased physical function and Kt/V. Therefore, intradialytic ergometer exercise could be a promising and sustainable intervention program for improving body composition, physical activity, and dialysis adequacy. Internal Medicine intradialytic exercise ergometer muscle mass bone mineral content body fat mass sarcopenia bioimpedance analysis Kt/V physical function body composition Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Background Sarcopenia is a progressive skeletal muscle disorder involving rapid loss of muscle mass and function, and should be treated as a disease [ 1 ]. About 10–16% of the older population in the world is estimated to have sarcopenia [ 1 ]. When sarcopenia occurs, walking speed decreases and activities of daily living such as dressing and bathing become difficult [ 2 , 3 ]. Additionally, body balance is impaired, increasing the risk of falls and fractures [ 4 ]. It has also been shown to be a risk factor for several diseases, including cognitive dysfunction and depression, and is associated with higher mortality rates [ 5 – 8 ]. Therefore, prevention of sarcopenia is critical for maintaining physical activity and quality of life, and reducing mortality. Dialysis patients are at a higher risk of sarcopenia because they receive dialysis treatment in bed and are physically less active than non-dialysis patients [ 9 ]. Furthermore, factors that increase the risk of sarcopenia in dialysis patients include metabolic acid-induced accelerated protein catabolism [ 10 ], vitamin D deficiency-induced inhibition of protein synthesis [ 11 ], chronic inflammation caused by changes in the intestinal flora, and destruction of the mucosal barrier due to insufficient dietary fiber intake caused by potassium restriction [ 12 ]. Accordingly, the prevalence of sarcopenia in dialysis patients is higher (20–42%) than that in the general older population (10–16%) [ 1 , 13 , 14 ], making the maintenance of muscle mass a clinically important issue [ 15 ]. Exercise interventions aimed at improving objective physical function and preventing sarcopenia in patients on dialysis include resistance exercises (e.g., elastic bands, free-weight exercises, and inspiratory muscle training), aerobic exercises (e.g., ergometer, waking, aquatic exercises, and yoga), stretching exercises, and neuromuscular electrical stimulation [ 16 – 21 ]. Among these various exercise modalities, lower limb resistance training and aerobic exercise using ergometers are widely performed, likely because they can be performed relatively easily during dialysis sessions [ 22 ]. Furthermore, in Japan, exercise instructions during dialysis treatment have become more popular after a change in the insurance regime in 2022 [ 22 ]. A questionnaire survey to investigate the current situation reported that 98% of the facilities provided exercise instruction during or around dialysis treatment, with 23% offering it before, after, or on non-dialysis days [ 22 ]. Thus, exercise programs have recently become widespread, especially during dialysis sessions [ 22 – 26 ]. However, to date, there have been no reports that have simultaneously evaluated the effects of exercise on body composition, physical activity, and dialysis adequacy in patients on dialysis. Therefore, we analyzed the effects of an intradialytic exercise intervention using a cycling ergometer and bioimpedance analysis (BIA) on body composition (muscle mass, bone mineral content, and body fat percentage), physical function and Kt/V for one-year Methods Patients In this study, patients on maintenance hemodialysis attending the Jichi Medical University Outpatient Dialysis Center (Shimotsuke, Tochigi, Japan) were invited to participate in the ergometer exercise group. Patients who provided consent were assigned to the ergometer (ergo (+)) group (n = 6), where they performed intradialytic exercise using an ergometer (Room Cycle Olympia, BWS CO., LTD, Tokyo, Japan). Meanwhile, patients who did not consent to participate in the ergo (+) group but agreed to undergo body composition measurements and physical function assessments were assigned to the non-ergometer (ergo (-)) group (n = 8), where they did not perform intradialytic exercise ( Fig. 1 A ) . All participants, regardless of their group, had not engaged in exercise therapy during hemodialysis and had not experienced any adverse events such as hospitalization for at least six months prior to this study. The intervention period was between December 2017 and December 2018. In the ergo (+) group, the exercise intensity and duration were determined based on patient preference, and the duration was set between 30 and 60 minutes in each dialysis session (three times per week). The exercise duration was fixed for each patient and measured using a timer. Ergometer exercise was not performed when patients were unwell; however, under normal conditions, they engaged in ergometer exercise during each dialysis session for one year. The study was conducted in accordance with the ethical principles of the Declaration of Helsinki. The protocol was approved by the Independent Ethics Committee of Jichi Medical University (approval number: A17-014). All the patients provided written informed consent to participate in the study. Sample and data collection Blood samples were obtained immediately before the first dialysis session for baseline laboratory data. Body composition data were measured using a BIA device with eight electrodes (InBody S10; InBody Japan Inc., Tokyo, Japan) ( Fig. 1 B ) before dialysis sessions at baseline and one-year after administration, as previously reported ( Fig. 1 C ) [ 27 , 28 ]. The patients were placed in the supine position for at least 10 minutes before blood sampling and body composition measurements, as previously reported [ 27 , 29 – 33 ]. The Kt/V value was calculated by using the second-generation Daugirdas formula [ 34 ]. Additionally, physical function parameters (balance test, sit-and-reach test, Timed Up and Go (TUG) test, 5-meter maximal walking time, and handgrip strength test) were measured 1-year after administration. The balance test measured how long patients could stand on one leg with their eyes open [ 35 ]. Sit-and-reach test is measured for body flexibility, which is associated with lower risk of sarcopenia [ 36 , 37 ]. The TUG test and 5-meter maximal walking time were performed as reported [ 38 , 39 ]. Handgrip strength test was performed with the dominant hand and elbow in full extension while standing [ 40 ]. Study Endpoints The primary endpoint of the study was change in body composition (skeletal muscle mass, fluid status, bone mineral content, and fat percentage) at six months. The secondary endpoints were changes in physical function and adequacy of dialysis at six months. There were no dropouts in the ergo (+) group or in the ergo (-) group. Statistical analyses All values are expressed as mean ± standard deviation. Statistical analyses were performed using the GraphPad Prism 8 software (GraphPad Software, San Diego, CA, USA). The Shapiro-Wilk test was performed to assess normality. Normally distributed data were analyzed using Student's t -test, while non-normally distributed data were analyzed using the Mann-Whitney test, unless otherwise specified. The comparison of the male-to-female ratio between the Ergo (-) and Ergo (+) groups was performed using the chi-square test. The differences in changes for each parameter between the Ergo (-) and Ergo (+) groups for one-year was assessed using paired t-tests. A p value < 0.05 was considered statistically significant. Results Baseline characteristics of patients The baseline characteristics of the ergo (-) and the ergo (+) groups in this study are shown in Tables 1 and 2. There were no significant differences in age, predialysis body weight, dialysis vintage, predialysis laboratory data, Kt/V, and body composition data between the ergo (-) and the ergo (+) groups. Only baseline hemoglobin levels were significantly lower in the ergo (+) group ( Table 1 ) . Table 1 Baseline characteristics of ergometer and non-ergometer groups. Ergo(-) Ergo (+) p value n = 8 n = 6 Age, years 57.9 ± 15.3 63.0 ± 12.0 0.255 Predialysis body weight, kg 68.9 ± 7.5 63.0 ± 12.6 0.165 Dry weight, kg 66.0 ± 8.1 60.4 ± 13.5 0.174 Height, cm 162.0 ± 3.3 162.2 ± 9.3 0.474 Hemodialysis vintage, years 3.5 ± 1.7 3.3 ± 1.4 0.423 Male gender, n (%) 6 (75.0) 3 (50.0) Etiology of chronic kidney disease, n (%) Diabetes 4 (50.0) 1 (16.7) Hypertension 0 (0) 1 (16.7) Glomerular disease 3 (37.5) 2 (33.3) Unknown 1 (12.5) 2 (33.3) Dialysis mode Hemodialysis, n (%) 8 (100) 5 (83.3) Intermittent hemodiafiltration, n (%) 0 (0) 1 (16.7) Predialysis laboratory data Na + , mEq/L 140.4 ± 3.0 140.8 ± 1.5 0.370 K + , mEq/L 4.7 ± 0.6 4.9 ± 0.7 0.276 Cl − , mEq/L 99.6 ± 2.9 100.3 ± 3.1 0.333 Ca, mg/dL 8.5 ± 1.3 8.9 ± .05 0.216 P, mg/dL 4.5 ± 1.0 4.9 ± 0.9 0.257 Total protein, g/dL 6.5 ± 0.7 6.2 ± 0.6 0.223 Albumin, g/dL 3.7 ± 0.3 3.6 ± 0.2 0.167 Blood urea nitrogen, mg/dL 65.9 ± 12.9 72.2 ± 12.9 0.193 Creatinine, mg/dL 11.61 ± 3.14 11.10 ± 1.79 0.364 Hemoglobin, g/dL 12.2 ± 1.1 11.3 ± 0.2 0.034 Kt/V 1.66 ± 0.18 1.82 ± 0.23 0.091 Ergo (-): patients without ergometer exercise; Ergo (+): patients with ergometer exercise Table 2 Comparison of changes in body composition data. Ergo (-): patients without ergometer exercise; Ergo (+): patients with ergometer exercise ICW, intracellular water; ECW, extracellular water; TBW, total body water; ECW/TBW, extracellular water-to-total body water ratio; BMI, body mass index. * p < 0.05 vs. baseline Comparison of change in each parameter between ergo (-) and ergo (+) patients All participants in the ergo (+) group continued ergometer training for one-year. First, we measured changes in Kt/V, predialysis body weight, dry weight, and extracellular water-to-total body water ratio (ECW/TBW), a marker of extracellular fluid status [ 29 , 32 ] between baseline and one-year of ergometric training. Kt/V changed to a positive value in the ergo (+) group after one-year of ergometric training (-3.54%±5.68% vs. 1.52%±5.57%, p = 0.061) ( Fig. 2 A ) . There were no significant percentage changes in the predialysis body weight (-0.02%±2.49% vs. 0.16%±2.80%, p = 0.449), dry weight (-0.30%±1.38% vs. -0.32%±1.44%, p = 0.491) and ECW/TBW (0.05%±2.04% vs. 0.26%±0.71%, p = 0.404) between the ergo (-) and the ergo (+) groups ( Fig. 2 B-D, Table 2) . We then measured the change in muscle mass at baseline and after one-year of ergometric training. The percentage change in skeletal muscle mass was significantly higher in ergo (+) patients compared to ergo (-) patients (2.01%±2.93% vs. 6.27%±2.12%, p = 0.005) ( Fig. 3 A, Table 2) , and the percentage change in leg muscle mass was higher in ergo (+) patients compared to ergo (-) patients (5.85%±12.88% vs. 15.39%±8.78%, p = 0.073) ( Fig. 3 B, Table 2) , whereas percentage change in arm muscle mass (-1.82%±10.76% vs. -9.10%±10.30%, p = 0.113) and trunk muscle mass (-1.67%±7.48% vs. -6.05%±5.69%, p = 0.128) did not show a significant difference between ergo (-) patients and ergo (+) groups ( Fig. 3 C, D, Table 2) . Furthermore, we analyzed the percentage change in bone mineral content and found that ergo (+) group had a significantly higher increase than ergo (-) group (4.50%±6.18% vs. 9.69%±1.77%, p = 0.036) ( Fig. 4 A, Table 2) . Finally, we examined the body mass index (BMI) and the body fat percentage. Percentage change in BMI was not significantly different between the two groups (0.03%±2.41% vs. 0.24%±2.82%, p = 0.442), but the percentage change in body fat percentage tended to be lower in ergo (+) group than in ergo (-) group (-4.46%±16.30% vs. -14.24%±6.86%, p = 0.098) ( Fig. 4 B, Table 2) . Comparison of physical function between ergo (-) and ergo (+) patients We also measured physical function in ergo (-) and ergo (+) patients after one-year of ergometric training. All parameters were not significantly different between the two groups, but the values of balance test (16.5s ± 21.7s vs. 47.5s ± 47.3s, p = 0.176), sit-and-reach test (30.1cm ± 13.1cm vs. 33.9cm ± 4.6cm, p = 0.261), TUG test (-9.6s ± 2.0s vs. 10.1s ± 1.3s, p = 0.278), and 5-meter maximum walking speed (2.6s ± 0.2s vs. 2.7s ± 0.5s, p = 0.302) were numerically higher in the ergo (+) group than the ergo (-) group ( Fig. 5 A-D ) . The values of handgrip strength were numerically lower in the ergo (+) group than the ergo (-) group (34.8kg ± 26.9kg vs. 32.3kg ± 9.8kg, p = 0.341) ( Fig. 5 E ) . Discussion This study showed that intradialytic exercise with an ergometer for one-year significantly increased lower limb muscle mass and bone mineral content and tended to decrease body fat mass. Similarly, lower limb physical function numerically improved. In contrast, ergometer exercise tended to decrease upper limb muscle mass. To the best of our knowledge, this is the first study to show the long-term beneficial effects of intradialytic ergometer training on body composition (muscle mass, fat mass, and bone mineral content) and physical function ( Table 3 ) . Table 3 Summary of previous and present studies on the effects of intradialytic exercise on body composition, physical activity, and dialysis adequacy. Exercise menu Ergometer Age (years) Period BIA Muscle mass Body fat Bone mineral Physical function Other parameters Reference 《Resistance training》 High-intensity resistance training N/A 48.1 ± 10.8 3 months N/A ↑(Leg) N/A N/A ↑SPPB N/A Lopes et al. 2019 [ 41 ] Continuous progressive resistance training N/A 54.5 ± 12.0 3 months N/A ↑(Leg) → ↑ ↑STT ↑Flexibility N/A Rosa et al. 2018 [ 42 ] Low-intensity resistance training N/A 67.9 ± 15.9 6 months N/A N/A N/A N/A ↑6MWT ↑Muscular strength Simo et al. 2014 [ 16 ] Leg exercises with resistance bands N/A 76.1 ± 4.2 1 year ○ → ↑ N/A ↑10MWT ↑TUG test ↑Dry weight ↑Kt/V Kato et al. 2021 [ 25 ] Low-intensity resistance training N/A ≥ 60 2 years ○ → → N/A →SPPB →Leg strength Imamura et al. 2022 [ 26 ] 《Aerobic training》 Aerobic training ○ 44 ± 11 3 months N/A N/A N/A N/A ↑6MWT ↑QOL ↑Kt/V Brito et al. 2022 [ 43 ] Aerobic training ○ N/A 4 months ○ → → N/A ↑6MWT ↑Kt/V Desai et al. 2019 [ 44 ] Aerobic training ○ 52.5 ± 12.9 6 months N/A N/A → N/A ↑Daily step counts N/A Assawasaksakul et al. 2021 [ 45 ] Aerobic training ○ 58.1 ± 14.3 6 months ○ N/A → N/A ↑6MWT ↑Kt/V Vogiatzaki et al. 2022 [ 50 ] Virtual reality program N/A 73.4 ± 10.7 1 year ○ ↑ ↓ N/A N/A N/A Romeu-Perales et al. 2024 [ 47 ] 《Resistance and aerobic training》 Aerobic and resistance training ○ 78.7 ± 6.3 6 months N/A N/A N/A N/A ↑SPPB N/A Yabe et al. 2021 [ 24 ] Aerobic and resistance training (≥ 60 min/session) ○ 62 ± 13 1 year N/A N/A N/A N/A N/A ↓Mortality Tabibi et al. 2023 [ 53 ] Aerobic and resistance training ○ 76.9 ± 6.1 3 years N/A N/A N/A N/A ↓Fall risk N/A Yabe et al. 2023 [ 58 ] Aerobic and resistance training ○ 65.9 ± 14.4 1 year N/A N/A N/A N/A ↑6MWT ↑STS60 ↑QOL Anding-Rost et al. 2023 [ 23 ] 【Present study】 Aerobic training ○ 63.0 ± 12.0 1 year ○ ↑ (Leg) ↘ ↑ ↗5MWT ↑Kt/V BIA: bioimpedance analysis, SPPB: Short Physical Performance Battery, N/A: not applicable, QOL: quality of life, STT: 30 second sit-to-stand test, 6 MWT: 6-min walking test, STS60: 60-second sit-to-stand test, 10 MWT: 10-m walk test, 5 MWT: 5-m walk test, TUG test: Timed Up and Go test, QOL: quality of life Previous studies have shown that resistance and aerobic training during dialysis sessions increases muscle mass. Lopes et al. and Rosa et al. reported that high-intensity and continuous progressive resistance training increased leg muscle mass even in the short-term (3 months) [ 41 , 42 ], whereas low-intensity resistance training did not change muscle mass [ 25 , 26 ] ( Table 3 ) . These data suggest that high-intensity but not low-intensity resistance training is an important stimulator for increasing muscle mass in dialysis patients. In contrast, no study involving aerobic training using an ergometer showed an increase in muscle mass, whereas ergometer exercise has been shown to improve walking capacity (6-min walking test and daily step counts) [ 43 – 46 ]. Therefore, to achieve a gain in muscle mass, a longer observation period was considered to be necessary [ 47 ]. Accordingly, this study used an intervention period of one year. On the other hand, age may also be an important stimulating factor for increasing muscle mass. The mean age of patients on dialysis in two resistance exercise studies in which muscle mass increased after three months was < 60 years ( Table 3 ) [ 41 , 42 ]. Similarly, the mean age in the ergo (+) group of the present study was 63.0 years. As a result, in the present study, intradialytic aerobic exercise using an ergometer for one-year increased muscle mass, mainly in the lower limbs, suggesting a beneficial effect of long-term intradialytic ergometer exercise on lower-limb muscle mass. In this study, one-year ergometer training maintained BMI and reduced body fat percentage. Previous studies have shown that low BMI and body fat percentage in dialysis patients are associated with worse life outcomes, a so-called reverse epidemiology [ 48 , 49 ]. Kato et al. reported that leg exercise with resistance bands increased dry weight, fat mass and triglyceride levels in older patients (76.1 ± 4.2 years) ( Table 3 ) [ 25 ]. However, most previous studies on intradialytic resistance and aerobic exercise showed maintenance or reduction of fat mass after the intervention [ 44 , 45 , 47 , 50 ] ( Table 3 ) . Similarly, our study showed that body fat percentage after one-year intradialytic exercise decreased from 29.2 ± 7.1% to 25.0 ± 7.2%, suggesting a possibility of optimizing body fat mass by ergometer exercise. There are no guidelines for the optimal body fat percentage in dialysis patients, and further validation is required. This study showed that bone mineral content increased after one-year of ergometer intervention. Several studies have reported increased bone mineral content following intradialytic exercise [ 51 ]. Rosa et al. reported that three months of progressive intradialytic resistance training improved bone mineral content [ 42 ], whereas several other studies have shown no change in bone mineral density [ 51 ]. The present study suggests that continuous ergometer exercise has the potential to increase bone mineral density. However, further prospective studies are required to confirm these results. In this study, we found that the ergometer mildly improved lower limb physical function and increased muscle mass. Although the number of patients was small, and the effect of exercise on physical function was not strong, long-term ergometer exercise during dialysis sessions may be effective in preventing sarcopenia by improving muscle mass and function. Similar to previous studies [ 43 , 44 , 50 ], the current intradialytic ergometer program increased Kt/V by one-year. An increased single-pool Kt/V, reflecting optimal dialysis adequacy, has been associated with a decreased risk of mortality in dialysis patients [ 52 ]. Therefore, long-term intradialytic ergometer programs may contribute to low mortality in patients on dialysis [ 53 ]. The present study showed that all patients enrolled in the ergometer group continued the intervention for one-year and maintained ergometer exercise after the conclusion of the study. In contrast, previous studies on exercise interventions in dialysis patients have shown a dropout rate of approximately 30% within six months [ 44 , 50 ]. Furthermore, approximately 80% of the participants stated that they wanted the resistance training program to continue after the study period [ 22 , 54 ]. The key elements for sustainable dialysis exercise include the involvement of exercise professionals, intradialytic exercise, staff commitment, suitable equipment and space, engaging activities, cost considerations, personalized exercise plans, and inclusivity across all ages [ 55 ]. In the present intradialytic exercise using a simple equipment (ergometer), the participants were allowed to self-regulate the timing and intensity of ergometer usage (maximum 60 min). According to a Cochrane meta-analysis [ 56 ], ergometer exercise therapy for patients on hemodialysis enhanced exercise tolerance, muscle strength, and physical function but did not improve muscle mass. In these previous reports, exercise intensity was determined by the researchers, and exercise therapy was adjusted within that predefined range. However, in the present study, exercise intensity was determined by each patient. Additionally, patients received feedback on the distance traveled by the ergometer. This approach fostered a positive cycle in which patients were motivated to exercise autonomously driven by their awareness of muscle strength gains from ergometer use. As a result, this positive cycle might lead to further gains in muscle strength. Moreover, no patient withdrew from the program during the one-year intervention period. These findings suggest that providing a simple patient-directed exercise program followed by exercise data feedback may support sustained engagement in exercise and help dialysis patients effectively increase their muscle mass. Intradialytic exercise using an ergometer does not require much effort, special skills, or knowledge from the dialysis staff. In contrast, many resistance training needs the support of exercise professionals such as physical therapists and occupational therapists [ 55 ]. However, many facilities do not employ professionals as instructors for intradialytic exercise interventions. Accordingly, a recent questionnaire survey by the Japanese Society of Renal Rehabilitation showed that staff shortages were the primary reason for not providing exercise instructions during dialysis treatment [ 22 ]. Exercise intervention using an ergometer requires very little effort from the dialysis staff, who simply need to set up the equipment and measure the exercise time. Furthermore, it is not necessary to be an exercise professional, which is of great benefit to the facility. As stated above, this study emphasized the feasibility of continuing exercise therapy and its applicability across a wide range of facilities. Therefore, while muscle mass measured by BIA was selected as a primary outcome, ergometer exercise was chosen as the intervention method instead of resistance training. While ergometry during dialysis sessions was found to increase muscle mass, primarily in the leg, the arm muscle mass tended to decrease. Therefore, it is desirable to combine upper-body exercises, such as dumbbell exercises or elastic band exercises [ 16 , 54 , 57 ] with ergometry for well-balanced muscle strength improvement. A limitation of this study is that at baseline, the ergo (+) group had a significantly lower mean hemoglobin level compared to the ergo (-) group, while the Kt/V tended to be higher in the ergo (+) group. This could potentially influence the results. Conclusions One-year intradialytic ergometry increased muscle mass primarily in the lower limbs and bone mineral content and optimized the body fat percentage in maintenance hemodialysis patients. Additionally, physical function and Kt/V were mildly increased by exercise, and all participants continued for the one-year period of the study. Intradialytic ergometer training may be a promising sustainable exercise for improving body composition, physical activity, and dialysis adequacy. Abbreviations BIA: bioimpedance analysis TUG: Timed Up and Go ECW/TBW: extracellular water-to total body water ratio BMI: body mass index Declarations Acknowledgments We thank Yasuhiro Ando for his critical advice regarding our protocol, and the dialysis center staff at Jichi Medical University for their support. This study was presented at the 64th annual meeting of the Japanese Society for Dialysis Therapy. We would like to thank Editage (www.editage.jp) for English language editing. Authors’ contributions TM contributed to study conception and design. KO and TM conducted statistical analyses, created figures and tables, interpreted the results, and drafted the manuscript. YA participated in patient enrollment and carried out data collection. KO, TM, YA, RM, TA and DN edited and approved the final manuscript. Funding This study was not supported by any funding source. Availability of data and materials All data generated or analyzed during this study are included in this published article. Conflict of interest: The authors declare no competing interests. Ethical approval and consent to participate: The protocol was approved by the Jichi Medical University Ethical Review Board, and the participants provided written informed consent. Consent for publication: Not applicable. References Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet. 2019;393:2636-2646. 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PLoS One. 2021;16:e0257918. Kato M, Shibata M, Asai K, et al. One-year intradialytic leg exercises with resistance bands and fat mass increase in elderly hemodialysis patients: a retrospective study. Ren Replace Ther. 2021;7:21. Imamura K, Suzuki Y, Yamamoto S, et al. Feasibility of long-term intradialytic exercise for older patients receiving hemodialysis: a retrospective single-center study. Int Urol Nephrol. 2022;54:907-916. Akiyama Y, Matsuoka R, Masuda T, et al. Comparative Impact of Isolated Ultrafiltration and Hemodialysis on Fluid Distribution: A Bioimpedance Study. Blood Purif. 2022;51:492-502. Torres E, Aragoncillo I, Moreno J, et al. Exercise training during hemodialysis sessions: Physical and biochemical benefits. Ther Apher Dial. 2020;24:648-654. Oka K, Masuda T, Ohara K, et al. Fluid homeostatic action of dapagliflozin in patients with chronic kidney disease: the DAPA-BODY Trial. Front Med (Lausanne). 2023;10:1287066. Morishita Y, Kubo K, Miki A, et al. Positive association of vigorous and moderate physical activity volumes with skeletal muscle mass but not bone density or metabolism markers in hemodialysis patients. Int Urol Nephrol. 2014;46:633-639. Asakura-Kinoshita M, Masuda T, Oka K, et al. Sodium-Glucose Cotransporter 2 Inhibitor Combined with Conventional Diuretics Ameliorate Body Fluid Retention without Excessive Plasma Volume Reduction. Diagnostics (Basel). 2024;14: Ohara K, Masuda T, Morinari M, et al. The extracellular volume status predicts body fluid response to SGLT2 inhibitor dapagliflozin in diabetic kidney disease. Diabetol Metab Syndr. 2020;12:37. Masuda T, Ohara K, Nagayama I, et al. Impact of serum albumin levels on the body fluid response to tolvaptan in chronic kidney disease patients. Int Urol Nephrol. 2019;51:1623-1629. Daugirdas JT. Second generation logarithmic estimates of single-pool variable volume Kt/V: an analysis of error. J Am Soc Nephrol. 1993;4:1205-1213. Khanal P, He L, Stebbings GK, et al. Static one-leg standing balance test as a screening tool for low muscle mass in healthy elderly women. Aging Clin Exp Res. 2021;33:1831-1839. Gao P, Gan D, Li S, et al. Cross-sectional and longitudinal associations between body flexibility and sarcopenia. J Cachexia Sarcopenia Muscle. 2023;14:534-544. Yamamoto K, Kawano H, Gando Y, et al. Poor trunk flexibility is associated with arterial stiffening. Am J Physiol Heart Circ Physiol. 2009;297:H1314-1318. Steffen TM, Hacker TA, Mollinger L. Age- and gender-related test performance in community-dwelling elderly people: Six-Minute Walk Test, Berg Balance Scale, Timed Up & Go Test, and gait speeds. Phys Ther. 2002;82:128-137. Amano T, Tanaka R, Tanaka S. Clinical prediction rule for early recovery of knee range of motion after total knee arthroplasty: A prospective cohort study. Phys Ther Res. 2020;23:202-208. Lee SH, Gong HS. Measurement and Interpretation of Handgrip Strength for Research on Sarcopenia and Osteoporosis. J Bone Metab. 2020;27:85-96. Lopes LCC, Mota JF, Prestes J, et al. Intradialytic Resistance Training Improves Functional Capacity and Lean Mass Gain in Individuals on Hemodialysis: A Randomized Pilot Trial. Arch Phys Med Rehabil. 2019;100:2151-2158. Rosa C, Nishimoto DY, Souza GDE, et al. Effect of continuous progressive resistance training during hemodialysis on body composition, physical function and quality of life in end-stage renal disease patients: a randomized controlled trial. Clin Rehabil. 2018;32:899-908. Brito JS, Reis D, Silva G, et al. Bicycle ergometer exercise during hemodialysis and its impact on quality of life, aerobic fitness and dialysis adequacy: A pilot study. Complement Ther Clin Pract. 2022;49:101669. Desai M, Mohamed A, Davenport A. A pilot study investigating the effect of pedalling exercise during dialysis on 6-min walking test and hand grip and pinch strength. Int J Artif Organs. 2019;42:161-166. Assawasaksakul N, Sirichana W, Joosri W, et al. Effects of intradialytic cycling exercise on daily physical activity, physical fitness, body composition, and clinical parameters in high-volume online hemodiafiltration patients: a pilot randomized-controlled trial. Int Urol Nephrol. 2021;53:359-371. Cayley WE, Jr. Exercise Training for Adults Undergoing Maintenance Dialysis. Am Fam Physician. 2022;106:135-136. Romeu-Perales M, Segura-Orti E, Cana-Poyatos A, et al. The Effect of Intradialytic Exercise Using Virtual Reality on the Body Composition of Patients with Chronic Kidney Disease. Nutrients. 2024;16: Kakiya R, Shoji T, Tsujimoto Y, et al. Body fat mass and lean mass as predictors of survival in hemodialysis patients. Kidney Int. 2006;70:549-556. Kalantar-Zadeh K, Kuwae N, Wu DY, et al. Associations of body fat and its changes over time with quality of life and prospective mortality in hemodialysis patients. Am J Clin Nutr. 2006;83:202-210. Vogiatzaki E, Michou V, Liakopoulos V, et al. The effect of a 6-month intradialytic exercise program on hemodialysis adequacy and body composition: a randomized controlled trial. Int Urol Nephrol. 2022;54:2983-2993. Cardoso DF, Marques EA, Leal DV, et al. Impact of physical activity and exercise on bone health in patients with chronic kidney disease: a systematic review of observational and experimental studies. BMC Nephrol. 2020;21:334. Hong WP, Lee YJ. The association of dialysis adequacy, body mass index, and mortality among hemodialysis patients. BMC Nephrol. 2019;20:382. Tabibi MA, Cheema B, Salimian N, et al. The effect of intradialytic exercise on dialysis patient survival: a randomized controlled trial. BMC Nephrol. 2023;24:100. Song WJ, Sohng KY. Effects of progressive resistance training on body composition, physical fitness and quality of life of patients on hemodialysis. J Korean Acad Nurs. 2012;42:947-956. Bennett PN, Breugelmans L, Barnard R, et al. Sustaining a hemodialysis exercise program: a review. Semin Dial. 2010;23:62-73. Bernier-Jean A, Beruni NA, Bondonno NP, et al. Exercise training for adults undergoing maintenance dialysis. Cochrane Database Syst Rev. 2022;1:Cd014653. Cheema B, Abas H, Smith B, et al. Progressive exercise for anabolism in kidney disease (PEAK): a randomized, controlled trial of resistance training during hemodialysis. J Am Soc Nephrol. 2007;18:1594-1601. Yabe H, Yamaguchi T, Kono K, et al. Efect of intradialytic exercise on fall occurrences in older patients undergoing hemodialysis: a single-center non-randomized study. Ren Replace Ther. 2023;9:48. Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6383661","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":438896329,"identity":"bc1d3352-7ed6-40d3-b731-46b6226625d8","order_by":0,"name":"Kazutoshi Ono","email":"","orcid":"https://orcid.org/0009-0008-6716-6247","institution":"Division of Nephrology, Department of Internal Medicine, Jichi Medical University","correspondingAuthor":false,"prefix":"","firstName":"Kazutoshi","middleName":"","lastName":"Ono","suffix":""},{"id":438896330,"identity":"2c753cd0-168c-4b30-ba59-c303e50fb187","order_by":1,"name":"Takahiro Masuda","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAxElEQVRIiWNgGAWjYFACNiCuYONhkGBsAHGZCWrgAWs5Q7IWxjYgS4JYZ9mzH0v8dHMenwz/7OYGhh81DOzmBG3hSTssnbuNjUfizsEGxp5jDMyWDQQdlt4A1mIgkdjAwNvAwGxwgJAW/ufNv3PnQLQw/iVKi0TaMencBogWZuJsufEszTrnGNAvNxIbDssckyDsF/b+NOPbOTXH7PlnpD98+KbGJplgiEHBMTAJdJJEsgGRWmrgLDtitYyCUTAKRsHIAQBGSDbuBpPiuwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-6893-7188","institution":"Division of Nephrology, Department of Internal Medicine, Jichi Medical University","correspondingAuthor":true,"prefix":"","firstName":"Takahiro","middleName":"","lastName":"Masuda","suffix":""},{"id":438896453,"identity":"3d4b04ca-b13e-4b65-a98a-8833047929fb","order_by":2,"name":"Yuki Akiyama","email":"","orcid":"","institution":"Department of Clinical Engineering, Jichi Medical University","correspondingAuthor":false,"prefix":"","firstName":"Yuki","middleName":"","lastName":"Akiyama","suffix":""},{"id":438896454,"identity":"8e1b66f6-d671-4f06-802a-9e61c7bfd67d","order_by":3,"name":"Ryo Matsuoka","email":"","orcid":"","institution":"Department of Clinical Engineering, Jichi Medical University","correspondingAuthor":false,"prefix":"","firstName":"Ryo","middleName":"","lastName":"Matsuoka","suffix":""},{"id":438896455,"identity":"847d2029-66a8-4df5-bdc1-b7a45667252e","order_by":4,"name":"Tetsu Akimoto","email":"","orcid":"","institution":"Division of Nephrology, Department of Internal Medicine, Jichi Medical University","correspondingAuthor":false,"prefix":"","firstName":"Tetsu","middleName":"","lastName":"Akimoto","suffix":""},{"id":438896456,"identity":"6bea2b64-26b2-4322-94e0-d0517b831a8a","order_by":5,"name":"Daisuke Nagata","email":"","orcid":"","institution":"Division of Nephrology, Department of Internal Medicine, Jichi Medical University","correspondingAuthor":false,"prefix":"","firstName":"Daisuke","middleName":"","lastName":"Nagata","suffix":""}],"badges":[],"createdAt":"2025-04-05 19:27:40","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6383661/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6383661/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":80328078,"identity":"ac20eeba-1a45-4f87-8c1d-defa91042f77","added_by":"auto","created_at":"2025-04-10 14:48:27","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":360896,"visible":true,"origin":"","legend":"\u003cp\u003ePhotograph of the ergometer used by the patients (A). Photograph of the device used for body composition measurement (B). Schematic representation of study design (C).\u003c/p\u003e","description":"","filename":"Figures1.png","url":"https://assets-eu.researchsquare.com/files/rs-6383661/v1/c46bb44c7da0d93f9a9cf4bf.png"},{"id":80329320,"identity":"5f5aa715-dead-4e98-8684-a0823b12d8d0","added_by":"auto","created_at":"2025-04-10 14:56:27","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":145624,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of percentage change in Kt/V (A), body mass index (BMI) (B), dry weight (C), and extracellular water-to-total body water ratio (ECW/TBW) after one-year treatment between non-ergometer group (ergo (-)) (n=8) and ergometer group (ergo (+)) (n=6). Error bars represent mean values ± SD.\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-6383661/v1/a47b721b98abaf95d390c235.png"},{"id":80328080,"identity":"c96266ce-9d32-45e1-9dfb-d8f0b061a80c","added_by":"auto","created_at":"2025-04-10 14:48:27","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":188033,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of percentage change in skeletal muscle mass (A), leg muscle mass (B), arm muscle mass and (C), and trunk muscle mass (D) after one-year treatment between non-ergometer group (ergo (-)) (n=8) and ergometer group (ergo (+)) (n=6). Error bars represent mean values ± SD.\u003c/p\u003e","description":"","filename":"R1Figure31.png","url":"https://assets-eu.researchsquare.com/files/rs-6383661/v1/e33ed6a425826606972a211b.png"},{"id":80328083,"identity":"55472125-29c3-4b84-a61b-e64325edf170","added_by":"auto","created_at":"2025-04-10 14:48:28","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":101430,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of percentage change in bone mineral content (A) and body fat percentage after one-year treatment between non-ergometer group (ergo (-)) (n=8) and ergometer group (ergo (+)) (n=6). Error bars represent mean values ± SD.\u003c/p\u003e","description":"","filename":"Figure4.png","url":"https://assets-eu.researchsquare.com/files/rs-6383661/v1/3f24f37c904a720491f9a26e.png"},{"id":80328085,"identity":"861cf8eb-2e5e-49e4-8246-6d2d4205410b","added_by":"auto","created_at":"2025-04-10 14:48:28","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":182413,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of each physical function parameters after 1 year between non-ergometer group (ergo (-)) and ergometer group (ergo (+)). Balance test (A), sit-and-reach test (B), Timed Up \u0026amp; Go (TUG) test (C), 5 meters maximal walk speed (D), handgrip strength (E). Error bars represent mean values ± SD. n=4-6 each group. kg: kilogram, s: second, cm: centimeter.\u003c/p\u003e","description":"","filename":"R1Figure51.png","url":"https://assets-eu.researchsquare.com/files/rs-6383661/v1/fa14d61aff94eae2db5eb61a.png"},{"id":80328088,"identity":"40095920-9943-4cc1-b27c-b954e0735697","added_by":"auto","created_at":"2025-04-10 14:48:28","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":302440,"visible":true,"origin":"","legend":"\u003cp\u003eSchematic representation of the current study.\u003c/p\u003e","description":"","filename":"Figure6.png","url":"https://assets-eu.researchsquare.com/files/rs-6383661/v1/d397f9dabf89fa47e3bd050b.png"},{"id":80330907,"identity":"3c1fc7b8-a641-4ab7-b72a-805514eeb748","added_by":"auto","created_at":"2025-04-10 15:12:28","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2499562,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6383661/v1/3aea014b-9cf8-499c-b528-d655e15cd97f.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eEffects of one-year intradialytic exercise with ergometer on body composition, physical activity, and dialysis adequacy\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"Background","content":"\u003cp\u003eSarcopenia is a progressive skeletal muscle disorder involving rapid loss of muscle mass and function, and should be treated as a disease [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. About 10\u0026ndash;16% of the older population in the world is estimated to have sarcopenia [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. When sarcopenia occurs, walking speed decreases and activities of daily living such as dressing and bathing become difficult [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Additionally, body balance is impaired, increasing the risk of falls and fractures [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. It has also been shown to be a risk factor for several diseases, including cognitive dysfunction and depression, and is associated with higher mortality rates [\u003cspan additionalcitationids=\"CR6 CR7\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Therefore, prevention of sarcopenia is critical for maintaining physical activity and quality of life, and reducing mortality.\u003c/p\u003e \u003cp\u003eDialysis patients are at a higher risk of sarcopenia because they receive dialysis treatment in bed and are physically less active than non-dialysis patients [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Furthermore, factors that increase the risk of sarcopenia in dialysis patients include metabolic acid-induced accelerated protein catabolism [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e], vitamin D deficiency-induced inhibition of protein synthesis [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e], chronic inflammation caused by changes in the intestinal flora, and destruction of the mucosal barrier due to insufficient dietary fiber intake caused by potassium restriction [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Accordingly, the prevalence of sarcopenia in dialysis patients is higher (20\u0026ndash;42%) than that in the general older population (10\u0026ndash;16%) [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e], making the maintenance of muscle mass a clinically important issue [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eExercise interventions aimed at improving objective physical function and preventing sarcopenia in patients on dialysis include resistance exercises (e.g., elastic bands, free-weight exercises, and inspiratory muscle training), aerobic exercises (e.g., ergometer, waking, aquatic exercises, and yoga), stretching exercises, and neuromuscular electrical stimulation [\u003cspan additionalcitationids=\"CR17 CR18 CR19 CR20\" citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Among these various exercise modalities, lower limb resistance training and aerobic exercise using ergometers are widely performed, likely because they can be performed relatively easily during dialysis sessions [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Furthermore, in Japan, exercise instructions during dialysis treatment have become more popular after a change in the insurance regime in 2022 [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. A questionnaire survey to investigate the current situation reported that 98% of the facilities provided exercise instruction during or around dialysis treatment, with 23% offering it before, after, or on non-dialysis days [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThus, exercise programs have recently become widespread, especially during dialysis sessions [\u003cspan additionalcitationids=\"CR23 CR24 CR25\" citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. However, to date, there have been no reports that have simultaneously evaluated the effects of exercise on body composition, physical activity, and dialysis adequacy in patients on dialysis. Therefore, we analyzed the effects of an intradialytic exercise intervention using a cycling ergometer and bioimpedance analysis (BIA) on body composition (muscle mass, bone mineral content, and body fat percentage), physical function and Kt/V for one-year\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003ePatients\u003c/h2\u003e \u003cp\u003e In this study, patients on maintenance hemodialysis attending the Jichi Medical University Outpatient Dialysis Center (Shimotsuke, Tochigi, Japan) were invited to participate in the ergometer exercise group. Patients who provided consent were assigned to the ergometer (ergo (+)) group (n\u0026thinsp;=\u0026thinsp;6), where they performed intradialytic exercise using an ergometer (Room Cycle Olympia, BWS CO., LTD, Tokyo, Japan). Meanwhile, patients who did not consent to participate in the ergo (+) group but agreed to undergo body composition measurements and physical function assessments were assigned to the non-ergometer (ergo (-)) group (n\u0026thinsp;=\u0026thinsp;8), where they did not perform intradialytic exercise \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA\u003cb\u003e)\u003c/b\u003e. All participants, regardless of their group, had not engaged in exercise therapy during hemodialysis and had not experienced any adverse events such as hospitalization for at least six months prior to this study. The intervention period was between December 2017 and December 2018. In the ergo (+) group, the exercise intensity and duration were determined based on patient preference, and the duration was set between 30 and 60 minutes in each dialysis session (three times per week). The exercise duration was fixed for each patient and measured using a timer. Ergometer exercise was not performed when patients were unwell; however, under normal conditions, they engaged in ergometer exercise during each dialysis session for one year. The study was conducted in accordance with the ethical principles of the Declaration of Helsinki. The protocol was approved by the Independent Ethics Committee of Jichi Medical University (approval number: A17-014). All the patients provided written informed consent to participate in the study.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eSample and data collection\u003c/h3\u003e\n\u003cp\u003eBlood samples were obtained immediately before the first dialysis session for baseline laboratory data. Body composition data were measured using a BIA device with eight electrodes (InBody S10; InBody Japan Inc., Tokyo, Japan) \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB\u003cb\u003e)\u003c/b\u003e before dialysis sessions at baseline and one-year after administration, as previously reported \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eC\u003cb\u003e)\u003c/b\u003e [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. The patients were placed in the supine position for at least 10 minutes before blood sampling and body composition measurements, as previously reported [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan additionalcitationids=\"CR30 CR31 CR32\" citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. The Kt/V value was calculated by using the second-generation Daugirdas formula [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Additionally, physical function parameters (balance test, sit-and-reach test, Timed Up and Go (TUG) test, 5-meter maximal walking time, and handgrip strength test) were measured 1-year after administration. The balance test measured how long patients could stand on one leg with their eyes open [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. Sit-and-reach test is measured for body flexibility, which is associated with lower risk of sarcopenia [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. The TUG test and 5-meter maximal walking time were performed as reported [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Handgrip strength test was performed with the dominant hand and elbow in full extension while standing [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e].\u003c/p\u003e\n\u003ch3\u003eStudy Endpoints\u003c/h3\u003e\n\u003cp\u003eThe primary endpoint of the study was change in body composition (skeletal muscle mass, fluid status, bone mineral content, and fat percentage) at six months. The secondary endpoints were changes in physical function and adequacy of dialysis at six months. There were no dropouts in the ergo (+) group or in the ergo (-) group.\u003c/p\u003e\n\u003ch3\u003eStatistical analyses\u003c/h3\u003e\n\u003cp\u003eAll values are expressed as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation. Statistical analyses were performed using the GraphPad Prism 8 software (GraphPad Software, San Diego, CA, USA). The Shapiro-Wilk test was performed to assess normality. Normally distributed data were analyzed using Student's \u003cem\u003et\u003c/em\u003e-test, while non-normally distributed data were analyzed using the Mann-Whitney test, unless otherwise specified. The comparison of the male-to-female ratio between the Ergo (-) and Ergo (+) groups was performed using the chi-square test. The differences in changes for each parameter between the Ergo (-) and Ergo (+) groups for one-year was assessed using paired t-tests. A \u003cem\u003ep\u003c/em\u003e value\u0026thinsp;\u0026lt;\u0026thinsp;0.05 was considered statistically significant.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eBaseline characteristics of patients\u003c/h2\u003e \u003cp\u003eThe baseline characteristics of the ergo (-) and the ergo (+) groups in this study are shown in Tables\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e and 2. There were no significant differences in age, predialysis body weight, dialysis vintage, predialysis laboratory data, Kt/V, and body composition data between the ergo (-) and the ergo (+) groups. Only baseline hemoglobin levels were significantly lower in the ergo (+) group \u003cb\u003e(\u003c/b\u003eTable\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e\u003cb\u003e)\u003c/b\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBaseline characteristics of ergometer and non-ergometer groups.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eErgo(-)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eErgo (+)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003en\u0026thinsp;=\u0026thinsp;8\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003en\u0026thinsp;=\u0026thinsp;6\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge, years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e57.9\u0026thinsp;\u0026plusmn;\u0026thinsp;15.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e63.0\u0026thinsp;\u0026plusmn;\u0026thinsp;12.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.255\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePredialysis body weight, kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e68.9\u0026thinsp;\u0026plusmn;\u0026thinsp;7.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e63.0\u0026thinsp;\u0026plusmn;\u0026thinsp;12.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.165\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDry weight, kg\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e66.0\u0026thinsp;\u0026plusmn;\u0026thinsp;8.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e60.4\u0026thinsp;\u0026plusmn;\u0026thinsp;13.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.174\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeight, cm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e162.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e162.2\u0026thinsp;\u0026plusmn;\u0026thinsp;9.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.474\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHemodialysis vintage, years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.423\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMale gender, \u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6 (75.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEtiology of chronic kidney disease, \u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDiabetes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (16.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHypertension\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0 (0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (16.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGlomerular disease\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3 (37.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2 (33.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1 (12.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2 (33.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDialysis mode\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHemodialysis, \u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8 (100)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5 (83.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntermittent hemodiafiltration, \u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0 (0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (16.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003ePredialysis laboratory data\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNa\u003csup\u003e+\u003c/sup\u003e, mEq/L\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e140.4\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e140.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.370\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eK\u003csup\u003e+\u003c/sup\u003e, mEq/L\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.276\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCl\u003csup\u003e\u0026minus;\u003c/sup\u003e, mEq/L\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e99.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e100.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.333\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCa, mg/dL\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8.9\u0026thinsp;\u0026plusmn;\u0026thinsp;.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.216\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eP, mg/dL\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.257\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal protein, g/dL\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.223\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAlbumin, g/dL\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.167\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlood urea nitrogen, mg/dL\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e65.9\u0026thinsp;\u0026plusmn;\u0026thinsp;12.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e72.2\u0026thinsp;\u0026plusmn;\u0026thinsp;12.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.193\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCreatinine, mg/dL\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11.61\u0026thinsp;\u0026plusmn;\u0026thinsp;3.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.10\u0026thinsp;\u0026plusmn;\u0026thinsp;1.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.364\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHemoglobin, g/dL\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.034\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eKt/V\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.66\u0026thinsp;\u0026plusmn;\u0026thinsp;0.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.82\u0026thinsp;\u0026plusmn;\u0026thinsp;0.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.091\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003eErgo (-): patients without ergometer exercise; Ergo (+): patients with ergometer exercise\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e Comparison of changes in body composition data.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eErgo (-): patients without ergometer exercise; Ergo (+): patients with ergometer exercise\u0026nbsp;\n ICW, intracellular water; ECW, extracellular water; TBW, total body water; ECW/TBW, extracellular water-to-total body water ratio; BMI, body mass index. * \u003cem\u003ep\u0026nbsp;\u003c/em\u003e\u0026lt; 0.05 vs. baseline\u003c/p\u003e\n\u003ch3\u003eComparison of change in each parameter between ergo (-) and ergo (+) patients\u003c/h3\u003e\n\u003cp\u003eAll participants in the ergo (+) group continued ergometer training for one-year. First, we measured changes in Kt/V, predialysis body weight, dry weight, and extracellular water-to-total body water ratio (ECW/TBW), a marker of extracellular fluid status [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e] between baseline and one-year of ergometric training. Kt/V changed to a positive value in the ergo (+) group after one-year of ergometric training (-3.54%\u0026plusmn;5.68% vs. 1.52%\u0026plusmn;5.57%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.061) \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA\u003cb\u003e)\u003c/b\u003e. There were no significant percentage changes in the predialysis body weight (-0.02%\u0026plusmn;2.49% vs. 0.16%\u0026plusmn;2.80%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.449), dry weight (-0.30%\u0026plusmn;1.38% vs. -0.32%\u0026plusmn;1.44%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.491) and ECW/TBW (0.05%\u0026plusmn;2.04% vs. 0.26%\u0026plusmn;0.71%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.404) between the ergo (-) and the ergo (+) groups \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eB-D, \u003cb\u003eTable\u0026nbsp;2)\u003c/b\u003e. We then measured the change in muscle mass at baseline and after one-year of ergometric training. The percentage change in skeletal muscle mass was significantly higher in ergo (+) patients compared to ergo (-) patients (2.01%\u0026plusmn;2.93% vs. 6.27%\u0026plusmn;2.12%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005) \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eA, \u003cb\u003eTable\u0026nbsp;2)\u003c/b\u003e, and the percentage change in leg muscle mass was higher in ergo (+) patients compared to ergo (-) patients (5.85%\u0026plusmn;12.88% vs. 15.39%\u0026plusmn;8.78%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.073) \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eB, \u003cb\u003eTable\u0026nbsp;2)\u003c/b\u003e, whereas percentage change in arm muscle mass (-1.82%\u0026plusmn;10.76% vs. -9.10%\u0026plusmn;10.30%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.113) and trunk muscle mass (-1.67%\u0026plusmn;7.48% vs. -6.05%\u0026plusmn;5.69%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.128) did not show a significant difference between ergo (-) patients and ergo (+) groups \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eC, D, \u003cb\u003eTable\u0026nbsp;2)\u003c/b\u003e. Furthermore, we analyzed the percentage change in bone mineral content and found that ergo (+) group had a significantly higher increase than ergo (-) group (4.50%\u0026plusmn;6.18% vs. 9.69%\u0026plusmn;1.77%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.036) \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA, \u003cb\u003eTable\u0026nbsp;2)\u003c/b\u003e. Finally, we examined the body mass index (BMI) and the body fat percentage. Percentage change in BMI was not significantly different between the two groups (0.03%\u0026plusmn;2.41% vs. 0.24%\u0026plusmn;2.82%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.442), but the percentage change in body fat percentage tended to be lower in ergo (+) group than in ergo (-) group (-4.46%\u0026plusmn;16.30% vs. -14.24%\u0026plusmn;6.86%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.098) \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eB, \u003cb\u003eTable\u0026nbsp;2)\u003c/b\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e\n\u003ch3\u003eComparison of physical function between ergo (-) and ergo (+) patients\u003c/h3\u003e\n\u003cp\u003eWe also measured physical function in ergo (-) and ergo (+) patients after one-year of ergometric training. All parameters were not significantly different between the two groups, but the values of balance test (16.5s\u0026thinsp;\u0026plusmn;\u0026thinsp;21.7s vs. 47.5s\u0026thinsp;\u0026plusmn;\u0026thinsp;47.3s, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.176), sit-and-reach test (30.1cm\u0026thinsp;\u0026plusmn;\u0026thinsp;13.1cm vs. 33.9cm\u0026thinsp;\u0026plusmn;\u0026thinsp;4.6cm, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.261), TUG test (-9.6s\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0s vs. 10.1s\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3s, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.278), and 5-meter maximum walking speed (2.6s\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2s vs. 2.7s\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5s, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.302) were numerically higher in the ergo (+) group than the ergo (-) group \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eA-D\u003cb\u003e)\u003c/b\u003e. The values of handgrip strength were numerically lower in the ergo (+) group than the ergo (-) group (34.8kg\u0026thinsp;\u0026plusmn;\u0026thinsp;26.9kg vs. 32.3kg\u0026thinsp;\u0026plusmn;\u0026thinsp;9.8kg, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.341) \u003cb\u003e(\u003c/b\u003eFig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eE\u003cb\u003e)\u003c/b\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study showed that intradialytic exercise with an ergometer for one-year significantly increased lower limb muscle mass and bone mineral content and tended to decrease body fat mass. Similarly, lower limb physical function numerically improved. In contrast, ergometer exercise tended to decrease upper limb muscle mass. To the best of our knowledge, this is the first study to show the long-term beneficial effects of intradialytic ergometer training on body composition (muscle mass, fat mass, and bone mineral content) and physical function \u003cb\u003e(\u003c/b\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e\u003cb\u003e)\u003c/b\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSummary of previous and present studies on the effects of intradialytic exercise on body composition, physical activity, and dialysis adequacy.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"12\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExercise menu\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eErgometer\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAge (years)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003ePeriod\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eBIA\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eMuscle mass\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eBody fat\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eBone mineral\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003ePhysical function\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eOther parameters\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"12\" nameend=\"c12\" namest=\"c1\"\u003e \u003cp\u003e《Resistance training》\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHigh-intensity resistance training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e48.1\u0026thinsp;\u0026plusmn;\u0026thinsp;10.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e3 months\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026uarr;(Leg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;SPPB\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eLopes et al.\u003c/p\u003e \u003cp\u003e2019 [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eContinuous progressive resistance training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e54.5\u0026thinsp;\u0026plusmn;\u0026thinsp;12.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e3 months\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026uarr;(Leg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026rarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026uarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;STT\u003c/p\u003e \u003cp\u003e\u0026uarr;Flexibility\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eRosa et al.\u003c/p\u003e \u003cp\u003e2018 [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLow-intensity resistance training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e67.9\u0026thinsp;\u0026plusmn;\u0026thinsp;15.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e6 months\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;6MWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026uarr;Muscular strength\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eSimo et al.\u003c/p\u003e \u003cp\u003e2014 [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLeg exercises with\u003c/p\u003e \u003cp\u003eresistance bands\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e76.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e1 year\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026rarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026uarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;10MWT \u0026uarr;TUG test\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026uarr;Dry weight \u0026uarr;Kt/V\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eKato et al.\u003c/p\u003e \u003cp\u003e2021 [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLow-intensity resistance training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e2 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026rarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026rarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026rarr;SPPB\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026rarr;Leg strength\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eImamura et al. 2022 [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"12\" nameend=\"c12\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003e《Aerobic training》\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAerobic training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e44\u0026thinsp;\u0026plusmn;\u0026thinsp;11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e3 months\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;6MWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026uarr;QOL\u003c/p\u003e \u003cp\u003e\u0026uarr;Kt/V\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eBrito et al.\u003c/p\u003e \u003cp\u003e2022 [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAerobic training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e4 months\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026rarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026rarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;6MWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026uarr;Kt/V\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eDesai et al.\u003c/p\u003e \u003cp\u003e2019 [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAerobic training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e52.5\u0026thinsp;\u0026plusmn;\u0026thinsp;12.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e6 months\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026rarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;Daily step counts\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eAssawasaksakul et al. 2021 [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAerobic training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e58.1\u0026thinsp;\u0026plusmn;\u0026thinsp;14.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e6 months\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026rarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;6MWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026uarr;Kt/V\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eVogiatzaki et al. 2022 [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVirtual reality program\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e73.4\u0026thinsp;\u0026plusmn;\u0026thinsp;10.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e1 year\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026uarr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026darr;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eRomeu-Perales\u003c/p\u003e \u003cp\u003eet al. 2024 [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"12\" nameend=\"c12\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003e《Resistance and aerobic training》\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAerobic and resistance training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e78.7\u0026thinsp;\u0026plusmn;\u0026thinsp;6.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e6 months\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;SPPB\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eYabe et al.\u003c/p\u003e \u003cp\u003e2021 [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAerobic and resistance training\u003c/p\u003e \u003cp\u003e(\u0026ge;\u0026thinsp;60 min/session)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e62\u0026thinsp;\u0026plusmn;\u0026thinsp;13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e1 year\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026darr;Mortality\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eTabibi et al.\u003c/p\u003e \u003cp\u003e2023 [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAerobic and resistance training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e76.9\u0026thinsp;\u0026plusmn;\u0026thinsp;6.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e3 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026darr;Fall risk\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eYabe et al.\u003c/p\u003e \u003cp\u003e2023 [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAerobic and resistance training\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e○\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e65.9\u0026thinsp;\u0026plusmn;\u0026thinsp;14.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e1 year\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u0026uarr;6MWT \u0026uarr;STS60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u0026uarr;QOL\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eAnding-Rost et al.\u003c/p\u003e \u003cp\u003e2023 [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"12\" nameend=\"c12\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003e【Present study】\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAerobic training\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e○\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e63.0\u0026thinsp;\u0026plusmn;\u0026thinsp;12.0\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003e\u003cb\u003e1 year\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e○\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e\u0026uarr; (Leg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003e↘\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cb\u003e\u0026uarr;\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u003cb\u003e↗5MWT\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e\u003cb\u003e\u0026uarr;Kt/V\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"12\"\u003eBIA: bioimpedance analysis, SPPB: Short Physical Performance Battery, N/A: not applicable, QOL: quality of life, STT: 30 second sit-to-stand test, 6 MWT: 6-min walking test, STS60: 60-second sit-to-stand test, 10 MWT: 10-m walk test, 5 MWT: 5-m walk test, TUG test: Timed Up and Go test, QOL: quality of life\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003ePrevious studies have shown that resistance and aerobic training during dialysis sessions increases muscle mass. Lopes et al. and Rosa et al. reported that high-intensity and continuous progressive resistance training increased leg muscle mass even in the short-term (3 months) [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e], whereas low-intensity resistance training did not change muscle mass [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e] \u003cb\u003e(\u003c/b\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e\u003cb\u003e)\u003c/b\u003e. These data suggest that high-intensity but not low-intensity resistance training is an important stimulator for increasing muscle mass in dialysis patients. In contrast, no study involving aerobic training using an ergometer showed an increase in muscle mass, whereas ergometer exercise has been shown to improve walking capacity (6-min walking test and daily step counts) [\u003cspan additionalcitationids=\"CR44 CR45\" citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. Therefore, to achieve a gain in muscle mass, a longer observation period was considered to be necessary [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Accordingly, this study used an intervention period of one year. On the other hand, age may also be an important stimulating factor for increasing muscle mass. The mean age of patients on dialysis in two resistance exercise studies in which muscle mass increased after three months was \u0026lt;\u0026thinsp;60 years \u003cb\u003e(\u003c/b\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e\u003cb\u003e)\u003c/b\u003e [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Similarly, the mean age in the ergo (+) group of the present study was 63.0 years. As a result, in the present study, intradialytic aerobic exercise using an ergometer for one-year increased muscle mass, mainly in the lower limbs, suggesting a beneficial effect of long-term intradialytic ergometer exercise on lower-limb muscle mass.\u003c/p\u003e \u003cp\u003eIn this study, one-year ergometer training maintained BMI and reduced body fat percentage. Previous studies have shown that low BMI and body fat percentage in dialysis patients are associated with worse life outcomes, a so-called reverse epidemiology [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. Kato et al. reported that leg exercise with resistance bands increased dry weight, fat mass and triglyceride levels in older patients (76.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2 years) \u003cb\u003e(\u003c/b\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e\u003cb\u003e)\u003c/b\u003e [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. However, most previous studies on intradialytic resistance and aerobic exercise showed maintenance or reduction of fat mass after the intervention [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e] \u003cb\u003e(\u003c/b\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e\u003cb\u003e)\u003c/b\u003e. Similarly, our study showed that body fat percentage after one-year intradialytic exercise decreased from 29.2\u0026thinsp;\u0026plusmn;\u0026thinsp;7.1% to 25.0\u0026thinsp;\u0026plusmn;\u0026thinsp;7.2%, suggesting a possibility of optimizing body fat mass by ergometer exercise. There are no guidelines for the optimal body fat percentage in dialysis patients, and further validation is required.\u003c/p\u003e \u003cp\u003eThis study showed that bone mineral content increased after one-year of ergometer intervention. Several studies have reported increased bone mineral content following intradialytic exercise [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. Rosa et al. reported that three months of progressive intradialytic resistance training improved bone mineral content [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e], whereas several other studies have shown no change in bone mineral density [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. The present study suggests that continuous ergometer exercise has the potential to increase bone mineral density. However, further prospective studies are required to confirm these results.\u003c/p\u003e \u003cp\u003eIn this study, we found that the ergometer mildly improved lower limb physical function and increased muscle mass. Although the number of patients was small, and the effect of exercise on physical function was not strong, long-term ergometer exercise during dialysis sessions may be effective in preventing sarcopenia by improving muscle mass and function.\u003c/p\u003e \u003cp\u003eSimilar to previous studies [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e], the current intradialytic ergometer program increased Kt/V by one-year. An increased single-pool Kt/V, reflecting optimal dialysis adequacy, has been associated with a decreased risk of mortality in dialysis patients [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]. Therefore, long-term intradialytic ergometer programs may contribute to low mortality in patients on dialysis [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe present study showed that all patients enrolled in the ergometer group continued the intervention for one-year and maintained ergometer exercise after the conclusion of the study. In contrast, previous studies on exercise interventions in dialysis patients have shown a dropout rate of approximately 30% within six months [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. Furthermore, approximately 80% of the participants stated that they wanted the resistance training program to continue after the study period [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. The key elements for sustainable dialysis exercise include the involvement of exercise professionals, intradialytic exercise, staff commitment, suitable equipment and space, engaging activities, cost considerations, personalized exercise plans, and inclusivity across all ages [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. In the present intradialytic exercise using a simple equipment (ergometer), the participants were allowed to self-regulate the timing and intensity of ergometer usage (maximum 60 min). According to a Cochrane meta-analysis [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e], ergometer exercise therapy for patients on hemodialysis enhanced exercise tolerance, muscle strength, and physical function but did not improve muscle mass. In these previous reports, exercise intensity was determined by the researchers, and exercise therapy was adjusted within that predefined range. However, in the present study, exercise intensity was determined by each patient. Additionally, patients received feedback on the distance traveled by the ergometer. This approach fostered a positive cycle in which patients were motivated to exercise autonomously driven by their awareness of muscle strength gains from ergometer use. As a result, this positive cycle might lead to further gains in muscle strength. Moreover, no patient withdrew from the program during the one-year intervention period. These findings suggest that providing a simple patient-directed exercise program followed by exercise data feedback may support sustained engagement in exercise and help dialysis patients effectively increase their muscle mass.\u003c/p\u003e \u003cp\u003eIntradialytic exercise using an ergometer does not require much effort, special skills, or knowledge from the dialysis staff. In contrast, many resistance training needs the support of exercise professionals such as physical therapists and occupational therapists [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. However, many facilities do not employ professionals as instructors for intradialytic exercise interventions. Accordingly, a recent questionnaire survey by the Japanese Society of Renal Rehabilitation showed that staff shortages were the primary reason for not providing exercise instructions during dialysis treatment [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Exercise intervention using an ergometer requires very little effort from the dialysis staff, who simply need to set up the equipment and measure the exercise time. Furthermore, it is not necessary to be an exercise professional, which is of great benefit to the facility. As stated above, this study emphasized the feasibility of continuing exercise therapy and its applicability across a wide range of facilities. Therefore, while muscle mass measured by BIA was selected as a primary outcome, ergometer exercise was chosen as the intervention method instead of resistance training.\u003c/p\u003e \u003cp\u003eWhile ergometry during dialysis sessions was found to increase muscle mass, primarily in the leg, the arm muscle mass tended to decrease. Therefore, it is desirable to combine upper-body exercises, such as dumbbell exercises or elastic band exercises [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e] with ergometry for well-balanced muscle strength improvement.\u003c/p\u003e \u003cp\u003eA limitation of this study is that at baseline, the ergo (+) group had a significantly lower mean hemoglobin level compared to the ergo (-) group, while the Kt/V tended to be higher in the ergo (+) group. This could potentially influence the results.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eOne-year intradialytic ergometry increased muscle mass primarily in the lower limbs and bone mineral content and optimized the body fat percentage in maintenance hemodialysis patients. Additionally, physical function and Kt/V were mildly increased by exercise, and all participants continued for the one-year period of the study. Intradialytic ergometer training may be a promising sustainable exercise for improving body composition, physical activity, and dialysis adequacy.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eBIA: bioimpedance analysis\u003c/p\u003e\n\u003cp\u003eTUG: Timed Up and Go\u003c/p\u003e\n\u003cp\u003eECW/TBW: extracellular water-to total body water ratio\u003c/p\u003e\n\u003cp\u003eBMI: body mass index\u0026nbsp;\u003c/p\u003e\n"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank Yasuhiro Ando for his critical advice regarding our protocol, and the dialysis center staff at Jichi Medical University for their support. This study was presented at the 64th annual meeting of the Japanese Society for Dialysis Therapy. We would like to thank Editage (www.editage.jp) for English language editing.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTM contributed to study conception and design. KO and TM conducted statistical analyses, created figures and tables, interpreted the results, and drafted the manuscript. YA participated in patient enrollment and carried out data collection. KO, TM, YA, RM, TA and DN edited and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was not supported by any funding source.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data generated or analyzed during this study are included in this published article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest:\u0026nbsp;\u003c/strong\u003e The authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical approval and consent to participate:\u003c/strong\u003e The protocol was approved by the Jichi Medical University Ethical Review Board, and the participants provided written informed consent.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication:\u003c/strong\u003e Not applicable.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eCruz-Jentoft AJ, Sayer AA. 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Sustaining a hemodialysis exercise program: a review. Semin Dial.\u003cem\u003e \u003c/em\u003e2010;23:62-73.\u003c/li\u003e\n\u003cli\u003eBernier-Jean A, Beruni NA, Bondonno NP, et al. Exercise training for adults undergoing maintenance dialysis. Cochrane Database Syst Rev.\u003cem\u003e \u003c/em\u003e2022;1:Cd014653.\u003c/li\u003e\n\u003cli\u003eCheema B, Abas H, Smith B, et al. Progressive exercise for anabolism in kidney disease (PEAK): a randomized, controlled trial of resistance training during hemodialysis. J Am Soc Nephrol.\u003cem\u003e \u003c/em\u003e2007;18:1594-1601.\u003c/li\u003e\n\u003cli\u003eYabe H, Yamaguchi T, Kono K, et al. Efect of intradialytic exercise on fall occurrences in older patients undergoing hemodialysis: a single-center non-randomized study. Ren Replace Ther.\u003cem\u003e \u003c/em\u003e2023;9:48.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Jichi Medical University","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"intradialytic exercise, ergometer, muscle mass, bone mineral content, body fat mass, sarcopenia, bioimpedance analysis, Kt/V, physical function, body composition","lastPublishedDoi":"10.21203/rs.3.rs-6383661/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6383661/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eDialysis patients are at a high risk of sarcopenia. To prevent sarcopenia in these patients, exercise programs, especially during dialysis sessions, have recently been used. However, the long-term effects of intradialytic exercise on body composition, physical function, and dialysis adequacy have not been fully elucidated.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eFourteen dialysis patients were divided into an ergometer group (n\u0026thinsp;=\u0026thinsp;8), with intradialytic exercise using an ergometer and the non-ergometer group (n\u0026thinsp;=\u0026thinsp;6) without intradialytic exercise. Bioimpedance analysis for measuring body composition and physical function tests were performed during the one-year study period.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThere were no patient dropouts from the study. Ergometer exercise increased the percentage change in skeletal muscle mass (non-ergometer 2.01%\u0026plusmn;2.93% vs. ergometer 6.27%\u0026plusmn;2.12%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005), leg muscle mass (5.85%\u0026plusmn;12.88% vs. 15.39%\u0026plusmn;8.78%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.073), bone mineral content (4.50%\u0026plusmn;6.18% vs. 9.69%\u0026plusmn;1.77%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.036), and decreased the percentage change in body fat percentage (-4.46%\u0026plusmn;16.30% vs. -14.24%\u0026plusmn;6.86%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.098). Lower limb physical function mildly improved, and Kt/V changed to a positive value in the ergometer group.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eOne-year intradialytic ergometer exercise increased lower limb muscle mass and bone mineral content, and decreased body fat percentage in dialysis patients. Additionally, it mildly increased physical function and Kt/V. Therefore, intradialytic ergometer exercise could be a promising and sustainable intervention program for improving body composition, physical activity, and dialysis adequacy.\u003c/p\u003e","manuscriptTitle":"Effects of one-year intradialytic exercise with ergometer on body composition, physical activity, and dialysis adequacy","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-10 14:48:23","doi":"10.21203/rs.3.rs-6383661/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b7512ee1-8f67-4702-b9ad-2371c9ed607d","owner":[],"postedDate":"April 10th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":46731458,"name":"Internal Medicine"}],"tags":[],"updatedAt":"2025-04-10T14:48:23+00:00","versionOfRecord":[],"versionCreatedAt":"2025-04-10 14:48:23","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6383661","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6383661","identity":"rs-6383661","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}