Objectively Measured Daily Step Counts and Prevalence of Frailty in 3,616 Older Adults.
Objectively Measured Daily Step Counts and Prevalence of Frailty in 3,616 Older Adults.
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DOI：
10.1111/jgs.16655
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发表时间：
2020-10
影响因子：
6.3
通讯作者：
Group KS
中科院分区：
文献类型：
--
作者：
Watanabe D;Yoshida T;Watanabe Y;Yamada Y;Kimura M;Group KS
虽然以前的研究报告说，每日步数较高的人死亡率和发病率较低，但虚弱与客观测量的步数之间的关联尚未得到很好的评估。我们调查了步数与社区老年人虚弱患病率之间的关系。一项横断面研究日本的京都-龟冈研究。我们使用了3，616名年龄在65岁或以上的日本老年人的数据，通过基于加速计的计步器获得有效的每日步数数据。通过经验证的三轴加速度计客观地获得4天或更长时间内的步数。参与者根据他们的步数按四分位数（Qs）进行分类。使用Fried表型（FP）模型和Kihon检查表（KCL）定义虚弱。我们使用多变量逻辑回归和限制性三次样条模型评估了虚弱患病率和步数之间的关系。从低到高分布Q的平均步数分别为1，759、2，988、4，377和7，200步/天。根据FP模型和KCL定义的虚弱患病率分别为11.3%和26.8%。调整混杂因素后，在步数较高的人群中，FP模型定义的比值比（OR）与虚弱患病率之间存在负相关（Q1：参比品; Q2：OR = 0.73; 95%置信区间（CI）= 0.56-0.96; Q3：OR = 0.56; 95% CI = 0.42-0.76; Q4：OR = 0.41; 95% CI = 0.30-0.57;趋势P <.001）。人口的平均步数为4，081。1,000步/天增量的虚弱OR分别为0.74（95% CI = 0.58-0.91）和0.85（95% CI = 0.72-0.97），低于4,000步和高于4,000步。在样条模型中，FP模型和KCL模型之间的这种关系是相似的。这些发现表明，稍微增加当前的步数，如每天1,000步（约10分钟的活动），可能会潜在地防止虚弱。J Am Geriatr Soc 68：2310-2318，2020.
Although previous studies have reported lower mortality and morbidity in people with higher daily step counts, the association between frailty and objectively measured step counts has not been evaluated well. We investigated the association between step counts and prevalence of frailty in community‐dwelling older adults. A cross‐sectional study. The Kyoto‐Kameoka study in Japan. We used data of 3,616 Japanese older adults, aged 65 years or older, with valid daily step count data, obtained by an accelerometer‐based pedometer. The step count during 4 or more days was objectively obtained by a validated triaxial accelerometer. Participants were classified by quartiles (Qs) based on their step counts. Frailty was defined using the Fried phenotype (FP) model and the Kihon Checklist (KCL). We evaluated the association between prevalence of frailty and step counts using multivariate logistic regression and the restricted cubic spline model. Mean step counts across low‐to‐high Qs of distribution were 1,759, 2,988, 4,377, and 7,200 steps/day, respectively. The prevalence of frailty, as defined by the FP model and KCL, was 11.3% and 26.8%, respectively. After adjusting for confounders, there was a negative association between the odds ratio (OR) and prevalence of frailty, as defined by the FP model among people with higher step counts (Q1: reference; Q2: OR = 0.73; 95% confidence interval (CI) = 0.56–0.96; Q3: OR = 0.56; 95% CI = 0.42–0.76; and Q4: OR = 0.41; 95% CI = 0.30–0.57; P for trend <.001). The mean step count of the population was 4,081. The OR of frailty for a 1,000‐steps/day increment was 0.74 (95% CI = 0.58–0.91) and 0.85 (95% CI = 0.72–0.97) below 4,000 steps and above 4,000 steps, respectively. In the spline model, this relationship was similar between the FP model and KCL. These findings suggest that slightly increasing the current step count, as by 1,000 steps/day (about 10 minutes of activity), may potentially prevent frailty. J Am Geriatr Soc 68:2310–2318, 2020.
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