专题:Balance, Gait, and Falls Prevention

This cluster of papers focuses on gait analysis, fall risk assessment, and interventions for fall prevention in the elderly population. It covers topics such as gait speed, balance control, physical performance measures, and the impact of various factors on fall risk, including age-related changes, neurological conditions like Parkinson's disease, and muscle strength. The cluster also addresses the reliability and validity of assessment tools and the effectiveness of exercise programs for reducing fall incidence.
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Human Shoulder Posture Anthropometry System for Detecting Scoliosis Using Mediapipe Library

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1.Cisternas, Y.C. Aging of balance and risk of falls in elderly. MOJ Gerontol Geriatr. 2019;4(6):255–7. https://doi.org/10.15406/mojgg.2019.04.00216 2.Sorock, G.S. Falls among the elderly: Epidemiology and Prevention. Am J Prev Med. 1988;4(5):282–288. https://doi.org/10.1016/s0749-3797(18)31162-0 3.Van Dieën, J.H., Pijnappels, M., Bobbert, M.F. Age-related intrinsic limitations in preventing a trip and regaining balance after a trip. Saf Sci. 2005;43(7):437–453. https://doi.org/10.1016/j.ssci.2005.08.008 4.Akyol, A.D. Falls in the elderly: what can be done? Int Nurs Rev. 2007;54(2):191–196. https://doi.org/10.1111/j.1466-7657.2007.00505.x 5.World Population Prospects 2019: Highlights. Available online: https://www.un.org/en/desa/world-population-prospects-2019-highlights 6.Pingping Wang: Population Decline Slows While Quality Continues to Improve. Available online: https://www.stats.gov.cn/xxgk/jd/sjjd2020/202501/t20250117_1958337.html 7.Stevens, J.A., Thomas, K.E., Sogolow, E.D. Seasonal patterns of fatal and nonfatal falls among older adults in the U.S. Accid Anal Prev. 2007;39(6):1239–1244. https://doi.org/10.1016/j.aap.2007.03.011 8.National Cause-of-Death Surveillance Dataset of China (2021). Available online: https://ncncd.chinacdc.cn/jcysj/siyinjcx/syfxbg/202403/W020230317353700905354.pdf 9.Prevent Falls, Stay Away from the “Last Fracture” in Life. Available online: https://ncrcgdxy.csu.edu.cn/info/1042/2886.htm 10.Key Statistics from the Seventh National Population Census. Available online: https://www.stats.gov.cn/sj/pcsj/rkpc/d7c/ 11.Arias-Fernández, L., Carcedo-Argüelles, L., García-Esquinas, E., et al. Association of neighborhood physical environment with falls and fear of falling in older adults: A prospective cohort study. Arch Gerontol Geriatr. 2025;133:105831. https://doi.org/10.1016/j.archger.2025.105831 12.Reider, L., Falvey, J.R., Okoye, S.M., et al. Cost of U.S emergency department and inpatient visits for fall injuries in older adults. Injury. 2024;55(2):111199. https://doi.org/10.1016/j.injury.2023.111199 13.Climate Change 2021: The Physical Science Basis. Available online: https://www.ipcc.ch/report/ar6/wg1/ 14.The impact of disasters and crises on agriculture and food security: 2021. Available online: https://openknowledge.fao.org/items/e5a5771a-6127-4e4a-ae1c-9f26fe8aa770 15.Dube, O., Vargas, J.F. Commodity price shocks and civil conflict: evidence from Colombia. Rev Econ Stud. 2013;80(4):1384–1421. https://doi.org/10.1093/restud/rdt009 16.Climatic Variation. Available online: https://www.who.int/zh/news-room/fact-sheets/detail/climate-change-and-health 17.Mertz, K.J., Lee, D.C., Sui, X., et al. Falls among adults: the association of cardiorespiratory fitness and physical activity with walking-related falls. Am J Prev Med. 2010;39(1):15-24. https://doi.org/10.1016/j.amepre.2010.03.013 18.Mondor, L., Charland, K., Verma, A., et al. Weather warnings predict fall-related injuries among older adults. Age Ageing. 2015;44(3):403–408. https://doi.org/10.1093/ageing/afu199 19.Nguyen, A.T., Nguyen, L.H., Nguyen, T.X., et al. Frailty Prevalence and Association with Health-Related Quality of Life Impairment among Rural Community-Dwelling Older Adults in Vietnam. Int J Environ Res Public Health. 2019;16(20):3869. https://doi.org/10.3390/ijerph16203869 20.Porto Gautério, D., Zortea, B., Costa Santos, S.S., et al. Risk Factors for new accidental falls in elderly patients at traumatology ambulatory center. Invest Educ Enferm. 2015;33(1):35–43. https://doi.org/10.17533/udea.iee.v33n1a05 21.Chang, V.C., Do, M.T. Risk factors for falls among seniors: implications of gender. Am J Epidemiol. 2015;181(7):521–531. https://doi.org/10.1093/aje/kwu268 22.Tsai, L.Y., Tsay, S.L., Hsieh, R.K., et al. Fall injuries and related factors of elderly patients at a medical center in Taiwan. Int J Gerontol. 2014;8(4):203–208. https://doi.org/10.1016/j.ijge.2013.10.007 23.Gyllencreutz, L., Björnstig, J., Rolfsman, E., et al. Outdoor pedestrian fall-related injuries among Swedish senior citizens--injuries and preventive strategies. Scand J Caring Sci. 2015;29(2):225–233. https://doi.org/10.1111/scs.12153 24.de Almeida, S.T., Soldera, C.L.C., de Carli, G.A., et al. Analysis of extrinsic and intrinsic factors that predispose elderly individuals to fall. Rev Assoc Med Bras. 2012;58(4):427–433. https://doi.org/10.1016/s2255-4823(12)70224-2 25.Lawlor, D.A., Patel, R., Ebrahim, S. Association between falls in elderly women and chronic diseases and drug use: cross sectional study. BMJ. 2003;327(7417):712–717. https://doi.org/10.1136/bmj.327.7417.712 26.Yoo, J.S., Kim, C.G., Yim, J., et al. Factors influencing falls in the frail elderly individuals in urban and rural areas. Aging Clin Exp Res. 2016;28(4):687–697. https://doi.org/10.1007/s40520-015-0469-2 27.Lin, W.Q., Lin, L., Yuan, L.X., et al. Association between meteorological factors and elderly falls in in

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Intensity over duration in neurological rehabilitation: exploring evidence for optimised recovery paradigms

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Establishing global standards on wearable technology for measuring mobility in ageing populations: an international consensus exercise

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Effect of cognitive and motor dual-task on stability and variability of walking in younger and older adults

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Human Motion Prediction via Continual Prior Compensation

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An updated definition of freezing of gait

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The future of clinical trials? Monitoring mobility as an outcome measure in Parkinson's disease: The mobilise-D study

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All-in-One: Smartphone-Based Intelligent Photonic mHealth System for Plantar and Cardiorespiratory Monitoring

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