简单的步数计数捕获的健康信息与复杂的加速度计测量值相当。

IF 9 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Jonatan Fridolfsson, Anders Raustorp, Mats Börjesson, Elin Ekblom-Bak, Örjan Ekblom, Daniel Arvidsson
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引用次数: 0

摘要

背景:体力活动指南建议积累中等至高强度的体力活动,但解释和监测这些建议仍然具有挑战性。尽管来自可穿戴设备的基于步数的指标提供了一种更简单的方法,但它们与健康结果的关系需要根据既定的加速度计测量结果进行验证。目的:评估基于步数的指标如何有效地从加速度计数据中获取健康相关信息,并确定与中年人心脏代谢健康相关的最佳步数节奏和强度阈值。方法:对瑞典心肺生物图像研究(SCAPIS)中4172名参与者(50-64岁)的横断面数据进行分析。使用ActiGraph加速计测量身体活动,收集步数(每日步数和节奏)和完整的加速计数据。使用亚最大周期测力仪测试估计的心肺健康和使用腰围、血压、血脂和糖化血红蛋白(HbA1c)的综合评分评估的心脏代谢健康都被认为是结果。使用线性回归和偏最小二乘分析来检验体力活动与结果之间的关系。结果:步数指标从完整的加速度计数据中保留了88%的健康相关信息。与心脏代谢健康相关的最佳加速度计强度约为4个代谢当量任务(METs)。80步/分钟的步频,而不是通常使用的100步/分钟,似乎与捕捉中等强度的活动更相关。结合步长和加速度计数据为心脏代谢健康提供了额外的解释力。结论:步数数据从加速度计测量的中年人身体活动中获取了大部分与健康相关的信息。这些发现支持使用基于步骤的指标来评估和促进身体活动,同时建议需要重新校准自由生活条件下的强度阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Simple step counting captures comparable health information to complex accelerometer measurements

Simple step counting captures comparable health information to complex accelerometer measurements

Background

Physical activity guidelines recommend accumulating moderate-to-vigorous physical activity but interpreting and monitoring these recommendations remains challenging. Although step-based metrics from wearable devices offer a simpler approach, their relationship with health outcomes requires validation against established accelerometer measurements.

Objectives

To evaluate how effectively step-based metrics capture health-related information from accelerometer data and determine optimal step cadence and intensity thresholds associated with cardiometabolic health in middle-aged adults.

Methods

Cross-sectional data from 4172 participants (aged 50–64 years) in the Swedish CArdioPulmonary bioImage Study (SCAPIS) were analyzed. Physical activity was measured using ActiGraph accelerometers, collecting both step metrics (daily steps and cadence) and full accelerometer data. Both cardiorespiratory fitness, estimated using a submaximal cycle ergometer test, and cardiometabolic health, assessed using a composite score of waist circumference, blood pressure, lipids, and glycated hemoglobin (HbA1c), were considered outcomes. Associations between physical activity and outcomes were examined using linear regression and partial least squares analysis.

Results

Step counting metrics retained 88% of the health-related information from full accelerometer data. The optimal accelerometer intensity associated with cardiometabolic health was around four metabolic equivalents of tasks (METs). A step cadence of 80 steps/min, rather than the commonly used 100 steps/min, appeared more relevant for capturing moderate-intensity activity. Combining step and accelerometer data provided additional explanatory power for cardiometabolic health.

Conclusion

Step data capture most of the health-related information from accelerometer-measured physical activity in middle-aged adults. These findings support the use of step-based metrics for assessing and promoting physical activity while suggesting a need for recalibration of intensity thresholds in free-living conditions.

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来源期刊
Journal of Internal Medicine
Journal of Internal Medicine 医学-医学:内科
CiteScore
22.00
自引率
0.90%
发文量
176
审稿时长
4-8 weeks
期刊介绍: JIM – The Journal of Internal Medicine, in continuous publication since 1863, is an international, peer-reviewed scientific journal. It publishes original work in clinical science, spanning from bench to bedside, encompassing a wide range of internal medicine and its subspecialties. JIM showcases original articles, reviews, brief reports, and research letters in the field of internal medicine.
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