The effect of whole-body vibration exercise on postmenopausal women with osteoporosis: A protocol for systematic review and meta-analysis

BACKGROUND: Osteoporosis (OP) is an age-related disease characterized by reduced bone mass and increased bone fragility. It is more common in older people and postmenopausal women. As a new type of exercise training for OP, whole-body vibration (WBV) exercise has been proved to have a good effect on postmenopausal women with OP. It can increase bone density and improve strength and balance in postmenopausal population, which has certain clinical value, but lacks evidence-based medicine evidence. This study aims to systematically study the effectiveness of WBV exercise on postmenopausal women with OP. METHODS: The English databases (PubMed, Embase, Web of Science, The Cochrane Library) and Chinese databases (China National Knowledge Network, Wanfang, Weipu, China Biomedical Database) were searched by computer. From the establishment of the database to February 2021, the randomized controlled clinical studies on WBV exercise on postmenopausal women with OP were conducted. The quality of the included studies was independently extracted by 2 researchers and literature quality was evaluated. Meta-analysis of the included studies was performed using RevMan5.3 software. RESULTS: In this study, the efficacy and safety of WBV exercise on postmenopausal women with OP were evaluated by lumbar spine bone density, femoral neck bone density, pain, incidence of falls, incidence of fractures, and quality of life scale score, etc. CONCLUSION: This study will provide reliable evidences for the clinical application of WBV exercise on postmenopausal women with OP. ETHICS AND DISSEMINATION: Private information from individuals will not be published. This systematic review also does not involve endangering participant rights. Ethical approval will not be required. The results may be published in a peer-reviewed journal or disseminated at relevant conferences. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/WPYT9