Effect of balance training on falls in patients with osteoporosis: A systematic review and meta-analysis

Zhou, Xin; Deng, Hui; Shen, Xiaoping; Lei, Qingliang

doi:10.2340/16501977-2334

Cited by 12 publications

(9 citation statements)

References 30 publications

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“…knowledge of osteoporosis, medications, diet and exercise) and advice for daily weight-bearing physical activity are appropriate [43][44][45]. Where indicated, the addition of fall prevention measures, including supervised exercise and/or rehabilitation, has been shown to be useful in reducing falls [46,47] but the effects on fracture risk remain uncertain [47].…”

Section: Impact On Treatmentmentioning

confidence: 99%

Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures

et al. 2019

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Guidance is provided in an international setting on the assessment and specific treatment of postmenopausal women at low, high and very high risk of fragility fractures. Introduction The International Osteoporosis Foundation and European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis published guidance for the diagnosis and management of osteoporosis in 2019. This manuscript seeks to apply this in an international setting, taking additional account of further categorisation of increased risk of fracture, which may inform choice of therapeutic approach. Methods Clinical perspective and updated literature search. Results The following areas are reviewed: categorisation of fracture risk and general pharmacological management of osteoporosis. Conclusions A platform is provided on which specific guidelines can be developed for national use to characterise fracture risk and direct interventions.

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Section: Impact On Treatmentmentioning

confidence: 99%

Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures

et al. 2019

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“…The most consistent predictor of future falls is a diagnosis of gait or balance abnormalities [9]. Therefore, balance training exercises play a key role in reducing the frequency of falls and preventing further fall-related injuries [10].…”

Section: Introductionmentioning

confidence: 99%

Effects of Interactive Video Game-Based Exercise on Balance in Diabetic Patients with Peripheral Neuropathy: An Open-Level, Crossover Pilot Study

Hung

Chen

Chang

et al. 2019

Evidence-Based Complementary and Alternative Medicine

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Purpose. This study evaluated the effects of interactive video game-based (IVGB) exercise on balance in diabetic patients with peripheral neuropathy. Materials and Methods. Twenty-four patients were randomly assigned to two groups (12 participants per group). Group A received IVGB training for the first 6 weeks, with no exercise in the subsequent 6 weeks. Group B had no exercise for the first 6 weeks and then underwent IVGB training in the subsequent 6 weeks. For all participants, the Modified Falls Efficacy Scale (MFES), Time Up and Go (TUG) test, Berg Balance Scale (BBS), and Unipedal Stance Test (UST) were employed at weeks 0, 6, and 12 of the experiment. Results. BBS, right-leg UST, and TUG test scores significantly improved after IVGB intervention, whereas MFES and left-leg UST tended to improve after IVGB intervention. Conclusions. This study revealed that 6-week balance-based exercise training using the IVGB system exerted positive effects on functional balance in patients with diabetic peripheral neuropathy (DPN).

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“…Similarly, the fall frequency in the training group was lower than that of the nontraining group (−0.77 ± 1.76 vs. 0.03 ± 0.98, P =0.018). Another recent meta-analysis [ 31 ] also confirmed that balance training was significantly associated with a decreased frequency of falls in osteoporosis patients.…”

Section: Discussionmentioning

confidence: 84%

Effects of Nonpharmacological Interventions on Balance Function in Patients with Osteoporosis or Osteopenia: A Network Meta-Analysis of Randomized Controlled Trials

Zhu

Chen

et al. 2021

Evidence-Based Complementary and Alternative Medicine

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Objective. To evaluate the clinical efficacy of nonpharmacological interventions in improving balance function of patients with osteoporosis or osteopenia using network meta-analysis (NMA). Methods. We searched seven databases (PubMed, the Cochrane Library, Embase, CKNI, Wanfang Data, VIP, and CBM) for relevant randomized controlled trials (RCTs) up to August 31, 2020. Berg Balance Scale (BBS) and Time Up and Go Test (TUGT) were used as outcome measures. Two researchers independently screened studies, collected data from the studies, and estimated risk of study bias. Divergence in the evaluation process was settled by consulting a third researcher. We used Stata 15.1 software for network meta-analysis (NMA). Results. We identified 10 eligible RCTs, with a total of 737 patients and four intervention methods, including traditional Chinese medicine (TCM) exercises, pulsed electromagnetic fields (PEMFs), strength training, and balance and strength training. The results revealed that all nonpharmacological interventions could improve balance function, but the effect of balance and strength training was better than other interventions. Conclusion. Exercise can significantly improve the balance function of patients with osteoporosis and osteopenia, and balance combined with strength training has the best effect, followed by TCM exercises.

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Effect of balance training on falls in patients with osteoporosis: A systematic review and meta-analysis

Abstract: Balance training may significantly reduce the frequency of falls in patients with osteoporosis.

Cited by 12 publications

References 30 publications

Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures

Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures

Effects of Interactive Video Game-Based Exercise on Balance in Diabetic Patients with Peripheral Neuropathy: An Open-Level, Crossover Pilot Study

Effects of Nonpharmacological Interventions on Balance Function in Patients with Osteoporosis or Osteopenia: A Network Meta-Analysis of Randomized Controlled Trials

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