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Sleep disturbances and risk of falls in an old Chinese population-Rugao Longevity and Ageing Study
Institution:1. Unit of Epidemiology, MOE Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China;2. Rugao People''s Hospital, Rugao 226500, Jiangsu, China;3. Key Laboratory of Arrhythmias of the Ministry of Education of China, Tongji University School of Medicine, Shanghai 200092, China;4. Yale School of Medicine, Department of Internal Medicine, New Haven, CT, USA;5. Department of Neurology, First Affiliated Hospital, Xinjiang Medical University, Urumqi, 830011, China;6. Department of Vascular Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China;1. Research and Education Unit on Ageing (UNIFAI/ICBAS-UP), University of Porto, Porto, Portugal;2. Faculty of Medicine, University of Porto (FMUP-UP), Porto, Portugal;3. Center for Health Technology and Services Research (CINTESIS), Porto, Portugal;1. Faculty of Health Sciences, Mejiro University, 320 Ukiya Iwatuki-ku Saitama-shi Saitama, 339-8501, Japan;2. Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan;3. Department of Allied Health Science. Kitasato University, Sagamihara-shi Kanagawa, Japan;1. Unit of epidemiology, State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, 200433 Shanghai, China;2. Longevity Research Institute of Rugao, 226500 Jiangsu, China;3. Dean’s Office, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China;1. Centre for Clinical Big Data and Analytics, Second Affiliated Hospital and Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Zhejiang, China;2. Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University School of Medicine, Zhejiang, China;3. Alibaba-Zhejiang University Joint Research Centre of Future Digital Healthcare, Zhejiang, China;4. Department of Respiratory Diseases, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Zhejiang, China
Abstract:BackgroundTo explore the relationship between sleep disturbances and falls in an elderly Chinese population.MethodsData from 1726 individuals aged 70–87 years from the Rugao Longevity and Ageing Study were used. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep variables. Outcomes were falls ≥1 time per year and falls ≥2 times per year.ResultsA total of 22.7% of the participants experienced ≥1 fall, and 9.8% experienced ≥2 falls per year. Poor sleep quality was associated with ≥1 fall (OR 1.08, 95% CI 1.05–1.12; OR 1.27, 95% CI 1.14–1.41) and ≥2 falls (OR 1.08, 95% CI 1.03–1.14; OR 1.28, 95% CI 1.10–1.48), with an increase per PSQI score and SD PSQI score, respectively. In addition, sleep quality, sleep latency, sleep efficiency, and sleep disturbance subcomponents were associated with an increased risk of ≥1 fall with ORs of 1.44 (95% CI, 1.21–1.72), 1.23 (95%CI,1.09–1.40), 1.12 (95%CI, 1.01–1.23) and 1.70 (95% CI,1.35–2.14), respectively, and were associated with an increased risk of ≥2 falls with ORs 1.54 (95%CI, 1.22–1.96), 1.21(95%CI, 1.02–1.44), 1.17 (95% CI 1.02–1.33), and 1.78 (95%CI, 1.31–2.44), respectively. Further, participants slept ≤5 h per night had an increased risk of ≥1 fall (OR 2.34; 95%CI, 1.59–3.46) and ≥2 falls (OR 2.19; 95%CI, 1.30–3.69).ConclusionsPoor sleep quality and several subcomponent sleep symptoms were consistently associated with increased risk of falls ≥1 time and ≥2 times in Chinese elderly. The identification of sleep disturbances may help identify high-risk Chinese elders who may benefit from fall prevention education.
Keywords:Falls  Sleep disturbances  Sleep quality  Sleep quality subcomponents  Sleep duration  Chinese elderly
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