Janina Krell-Roesch, Jeremy A. Syrjanen, Tobias Moeller, Jelena Krafft, Bettina Barisch-Fritz, Walter K. Kremers, Farwa Ali, David S. Knopman, Ronald C. Petersen, Thorsten Stein, Alexander Woll, Maria Vassilaki, Yonas E. Geda
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Gait was assessed using GAITRite® and Zeno™ systems. Incident falls information was based on diagnostic codes retrieved from medical records. We ran linear mixed effects models to examine associations between z-scored PA variables and longitudinal gait parameters, adjusted for age, sex, education, body mass index (BMI), medical comorbidities, and including interactions between PA and time since baseline. In secondary analyses, we calculated Cox Proportional hazard models with age as time scale predicting incident falls by PA, adjusting for sex, education, BMI, medical comorbidities, and falls history.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>At baseline, higher PA was associated with higher velocity (overall PA: estimate 2.9935; MVPA: 2.2961; <i>p</i> < 0.001), higher cadence (overall PA: 1.0665; MVPA: 0.9073; <i>p</i> < 0.001), greater stride length (overall PA: 2.0805; MVPA: 1.4726; <i>p</i> < 0.001), shorter double support time (overall PA: −0.0257; MVPA: −0.0205; <i>p</i> < 0.001), and lower stance time variability (overall PA: −0.0204, <i>p</i> < 0.001; MVPA: −0.0152; <i>p</i> = 0.006). Overall PA was longitudinally associated with less decline in cadence, and MVPA with less increase in intraindividual stance time variability. Overall PA (Hazard ratio 0.892, 95% confidence interval 0.828–0.961, <i>p</i> = 0.003) and MVPA (HR 0.901; 95% CI 0.835–0.973, <i>p</i> = 0.008) were associated with a decreased risk of incident falls.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Late-life PA was associated with favorable gait outcomes and decreased risk of incident falls. Thus, late-life PA may help to maintain gait performance and decrease fall risk in old age.</p>\n </section>\n </div>","PeriodicalId":36518,"journal":{"name":"Health Science Reports","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11539020/pdf/","citationCount":"0","resultStr":"{\"title\":\"Self-reported physical activity and gait in older adults without dementia: A longitudinal study\",\"authors\":\"Janina Krell-Roesch, Jeremy A. 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引用次数: 0
摘要
背景和目的:体力活动(PA)与较高的步速有关。我们旨在研究在社区居住的无痴呆症患者中,体育锻炼与空间和时间步态测量变化以及跌倒风险之间的关系:方法:对梅奥诊所老龄化研究(Mayo Clinic Study of Aging)中的 4173 名年龄≥50 岁者(平均年龄 71 岁;男性 2078 人;中位数随访 4 年)进行纵向研究。自我报告的晚年活动量用于计算总体活动量和中度-剧烈活动量(MVPA)得分。步态采用 GAITRite® 和 Zeno™ 系统进行评估。跌倒事件信息基于从医疗记录中检索到的诊断代码。我们运行线性混合效应模型来研究 PA 变量和纵向步态参数之间的关系,并根据年龄、性别、教育程度、体重指数 (BMI)、医疗合并症等因素进行调整,还包括 PA 与自基线以来的时间之间的交互作用。在二次分析中,我们计算了以年龄作为时间尺度的Cox比例危险模型,预测PA对跌倒事件的影响,并对性别、教育程度、体重指数、合并症和跌倒史进行了调整:基线时,较高的 PA 与较高的速度相关(总体 PA:估计值 2.9935;MVPA:2.2961;P P P P P = 0.006)。从纵向来看,总体 PA 与步频下降的关系较小,而 MVPA 与个体内部站立时间变异性增加的关系较小。整体 PA(危险比 0.892,95% 置信区间 0.828-0.961,p = 0.003)和 MVPA(HR 0.901;95% CI 0.835-0.973,p = 0.008)与跌倒风险的降低有关:结论:晚年体力活动与良好的步态结果和跌倒风险的降低有关。因此,晚年体力活动有助于保持步态表现和降低老年跌倒风险。
Self-reported physical activity and gait in older adults without dementia: A longitudinal study
Background and Aims
Physical activity (PA) is associated with higher gait speed. We aimed to examine the associations between PA and change in spatial and temporal gait measures as well as fall risk in community-dwelling individuals free of dementia.
Methods
Longitudinal study among 4173 individuals aged ≥50 years (mean age 71 years; 2078 males; median follow-up 4 years) enrolled in the Mayo Clinic Study of Aging. Self-reported late-life PA was used to calculate overall PA and moderate-vigorous PA (MVPA) scores. Gait was assessed using GAITRite® and Zeno™ systems. Incident falls information was based on diagnostic codes retrieved from medical records. We ran linear mixed effects models to examine associations between z-scored PA variables and longitudinal gait parameters, adjusted for age, sex, education, body mass index (BMI), medical comorbidities, and including interactions between PA and time since baseline. In secondary analyses, we calculated Cox Proportional hazard models with age as time scale predicting incident falls by PA, adjusting for sex, education, BMI, medical comorbidities, and falls history.
Results
At baseline, higher PA was associated with higher velocity (overall PA: estimate 2.9935; MVPA: 2.2961; p < 0.001), higher cadence (overall PA: 1.0665; MVPA: 0.9073; p < 0.001), greater stride length (overall PA: 2.0805; MVPA: 1.4726; p < 0.001), shorter double support time (overall PA: −0.0257; MVPA: −0.0205; p < 0.001), and lower stance time variability (overall PA: −0.0204, p < 0.001; MVPA: −0.0152; p = 0.006). Overall PA was longitudinally associated with less decline in cadence, and MVPA with less increase in intraindividual stance time variability. Overall PA (Hazard ratio 0.892, 95% confidence interval 0.828–0.961, p = 0.003) and MVPA (HR 0.901; 95% CI 0.835–0.973, p = 0.008) were associated with a decreased risk of incident falls.
Conclusion
Late-life PA was associated with favorable gait outcomes and decreased risk of incident falls. Thus, late-life PA may help to maintain gait performance and decrease fall risk in old age.