步长强度指标的选择会影响剂量-反应与死亡率的关系吗?一项针对 70,174 名成年人的英国人口队列研究

Le Wei, Matthew Ahmadi, Joanna M Blodgett, Elroy J. Aguiar, Raaj Kishore Biswas, Borja del Bozo Cruz, Emmanuel Stamatakis
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引用次数: 0

摘要

摘要 背景:有关自由生活环境中步态强度对健康影响的研究十分有限,且尚无定论。步速强度估计指标的使用不一致可能是目前结果不明确的原因。我们的目的是研究和比较一系列不同的基于步速的指标与全因(ACM)心血管疾病(CVD)、癌症和体力活动(PA)相关癌症死亡率的多变量调整关系:这项前瞻性队列研究纳入了拥有英国生物库有效腕戴加速度计数据的参与者。我们使用十种不同的基于步频的指标来估算步频强度,包括八种峰值步频指标(定义为最高但不一定是连续几分钟的平均步数/分钟),其中大部分指标已在之前的文献中出现过,另外还有两种非峰值步频指标:1)平均每日步频,定义为佩戴加速计的分钟步数;2)有目的步数的平均步频,定义为步数≥ 40 步的分钟的平均步数/分钟。我们用(绝对值-平均值)/SD 将每个指标转换成平均值为 0、标准偏差(SD)为 1 的标准化步频表。我们使用之前发表的涉及 Cox-restricted 立方样条模型的建模方法,比较了每个步速强度估计指标与死亡率结果之间的剂量-反应关系,并以标准化和绝对步速标度的叠加图的形式呈现。研究结果在随访中位数为 8.0 年的 70,336 名参与者(年龄[SD],61.6 [7.8]岁;女性,40,933 [58%])中,除了有目的地迈步的平均步频外,所有基于步频的指标都与急性心肌梗死/心血管疾病/癌症死亡率呈现出类似的有益剂量-反应关系,95% CI 基本重合(例如,在-0.2 标准化步频/分钟时,1 分钟和 30 分钟峰值步频的急性心肌梗死危险比(HR)分别为 0.72、95%CI.0、0.72、0.72、0.72、0.72、0.72、0.72、0.72、0.72、0.72、0.72):0.72,95%CI [0.65, 0.82] 和 0.66 [0.60, 0.73])。仅有目的性的平均步频与死亡率结果并不呈剂量反应关系(例如,与标准步频相对应的心率(HR)与死亡率结果不呈剂量反应关系)、结论:除了有目的地迈步的平均步频外,所有步频强度估算指标都显示出与全因死亡率、心血管疾病死亡率和癌症死亡率之间具有相似的有益剂量反应关系,这表明这些基于步频的指标可用于估算自由生活步频强度与健康结果之间的关系,并相应地应用于不同的研究方案中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does the choice of stepping intensity metric influence dose-response associations with mortality? A UK population cohort study of 70,174 adults
Abstract Background: Research on the health effects of stepping intensity in free–living environments is limited and inconclusive. Inconsistent use of stepping intensity estimation metrics could explain current equivocal results. We aimed to examine and compare a range of different cadence–based metrics in terms of their multivariable–adjusted associations with all–cause (ACM) cardiovascular disease (CVD), cancer and physical–activity (PA)–related cancer mortality. Methods: This prospective cohort study included participants with valid wrist–worn accelerometer data from the UK Biobank. We estimated stepping intensity using ten different cadence–based metrics, including eight peak–cadence metrics (defined as averaged steps / min of the highest but not necessarily consecutive minutes) that most of whom have appeared in prior literature, plus two non–peak–cadence metrics: 1) average daily cadence, defined as steps/accelerometer wearing mins, and 2) average cadence of purposeful steps, defined as averaged steps / min of minutes with ≥ 40 steps. We rescaled each metric into a standardised cadence scale with mean of 0 and standard deviation (SD) of 1, using (absolute–mean)/SD. We compared the dose–response associations of each stepping intensity estimation metrics with mortality outcomes using previously published modelling involving Cox–restricted–cubic–spline model, presented as overlay plots on standardised and absolute cadence scales. Results: Among 70,336 participants (age [SD], 61.6 [7.8] years; female, 40,933 [58%]) followed up for a median of 8.0 years, all cadence–based metrics, besides the average cadence of purposeful steps, exhibited a comparable beneficial dose–response association with ACM/CVD/cancer mortality, with 95% CI largely overlapped (e.g., at –0.2 standardised steps/min, the hazard ratio (HR) of ACM for peak 1– and peak 30–min cadence were: 0.72, 95%CI [0.65, 0.82] and 0.66 [0.60, 0.73], respectively). The average cadence of purposeful steps only did not show dose–response associations with mortality outcomes (e.g., the HR that corresponds to the standardised median for the average cadence of purposeful steps in ACM was 0.98 [95% CI: 0.86, 1.12]. Conclusion: Besides the average cadence of purposeful steps, all stepping intensity estimation metrics demonstrated comparable beneficial dose–response associations with mortality of all–cause, CVD and cancer, suggesting these cadence–based metrics may be used interchangeably for estimating associations of free–living stepping intensity with health outcomes and applied in different research scenarios accordingly.
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