Objectives Balance quickly diminishes after the mid-50s increasing the risk for falls and other adverse health outcomes. Our aim was to assess whether the ability to complete a 10- s one-legged stance (10-second OLS) is associated with all-cause mortality and whether it adds relevant prognostic information beyond ordinary demographic, anthropometric and clinical data. Methods Anthropometric, clinical and vital status and 10-s OLS data were assessed in 1702 individuals (68% men) aged 51–75 years between 2008 and 2020. Log-rank and Cox modelling were used to compare survival curves and risk of death according to ability (YES) or inability (NO) to complete the 10-s OLS test. Results Overall, 20.4% of the individuals were classified as NO. During a median follow-up of 7 years, 7.2% died, with 4.6% (YES) and 17.5% (NO) on the 10-s OLS. Survival curves were worse for NO 10-s OLS (log-rank test=85.6; p<0.001). In an adjusted model incorporating age, sex, body mass index and comorbidities, the HR of all-cause mortality was higher (1.84 (95% CI: 1.23 to 2.78) (p < 0.001)) for NO individuals. Adding 10-s OLS to a model containing established risk factors was associated with significantly improved mortality risk prediction as measured by differences in −2 log likelihood and integrated discrimination improvement. Conclusions Within the limitations of uncontrolled variables such as recent history of falls and physical activity, the ability to successfully complete the 10-s OLS is independently associated with all-cause mortality and adds relevant prognostic information beyond age, sex and several other anthropometric and clinical variables. There is potential benefit to including the 10-s OLS as part of routine physical examination in middle-aged and older adults. Data are available on reasonable request. Deidentified data are available on reasonable request.

中文翻译：

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成功的 10 秒单腿站姿表现可预测中老年人的生存

目标 50 多岁后，平衡迅速下降，增加了跌倒和其他不良健康后果的风险。我们的目的是评估完成 10 秒单腿站立（10 秒 OLS）的能力是否与全因死亡率相关，以及它是否在普通人口统计学、人体测量学和临床数据之外增加了相关的预后信息。方法 对 2008 年至 2020 年间 51-75 岁的 1702 名个体（68% 男性）进行人体测量、临床和生命状态以及 10 秒 OLS 数据评估。使用对数秩和 Cox 模型比较生存曲线和死亡风险能够（是）或不能（否）完成 10 秒 OLS 测试。结果 总体而言，20.4% 的个体被归类为 NO。在 7 年的中位随访期间，7.2% 的人死亡，10 秒 OLS 分别为 4.6%（是）和 17.5%（否）。NO 10-s OLS 的生存曲线更差（对数秩检验=85.6；p<0.001）。在包含年龄、性别、体重指数和合并症的调整模型中，NO 个体的全因死亡率 HR 较高 (1.84 (95% CI: 1.23 至 2.78) (p < 0.001))。将 10-s OLS 添加到包含已确定风险因素的模型与显着改善的死亡率风险预测相关，如通过 -2 对数似然和综合辨别改善的差异来衡量。结论 在不受控制的变量（例如近期跌倒史和体力活动史）的限制下，成功完成 10 秒 OLS 的能力与全因死亡率独立相关，并增加了年龄、性别和其他一些人体测量学和临床数据之外的相关预后信息变量。将 10-s OLS 作为中老年人常规体检的一部分有潜在的好处。可根据合理要求提供数据。可根据合理要求提供去识别化数据。