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外文期刊>JMIR mHealth and uHealth
>Comparison of the Physical Activity Measured by a Consumer Wearable Activity Tracker and That Measured by Self-Report: Cross-Sectional Analysis of the Health eHeart Study
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Comparison of the Physical Activity Measured by a Consumer Wearable Activity Tracker and That Measured by Self-Report: Cross-Sectional Analysis of the Health eHeart Study
Background Commercially acquired wearable activity trackers such as the Fitbit provide objective, accurate measurements of physically active time and step counts, but it is unclear whether these measurements are more clinically meaningful than self-reported physical activity. Objective The aim of this study was to compare self-reported physical activity to Fitbit-measured step counts and then determine which is a stronger predictor of BMI by using data collected over the same period reflecting comparable physical activities. Methods We performed a cross-sectional analysis of data collected by the Health eHeart Study, a large mobile health study of cardiovascular health and disease. Adults who linked commercially acquired Fitbits used in free-living conditions with the Health eHeart Study and completed an International Physical Activity Questionnaire (IPAQ) between 2013 and 2019 were enrolled (N=1498). Fitbit step counts were used to quantify time by activity intensity in a manner comparable to the IPAQ classifications of total active time and time spent being sedentary, walking, or doing moderate activities or vigorous activities. Fitbit steps per day were computed as a measure of the overall activity for exploratory comparisons with IPAQ-measured overall activity (metabolic equivalent of task [MET]-h/wk). Measurements of physical activity were directly compared by Spearman rank correlation. Strengths of associations with BMI for Fitbit versus IPAQ measurements were compared using multivariable robust regression in the subset of participants with BMI and covariates measured. Results Correlations between synchronous paired measurements from Fitbits and the IPAQ ranged in strength from weak to moderate (0.09-0.48). In the subset with BMI and covariates measured (n=586), Fitbit-derived predictors were generally stronger predictors of BMI than self-reported predictors. For example, an additional hour of Fitbit-measured vigorous activity per week was associated with nearly a full point reduction in BMI (–0.84 kg/m2, 95% CI –1.35 to –0.32) in adjusted analyses, whereas the association between self-reported vigorous activity measured by IPAQ and BMI was substantially smaller in magnitude (–0.17 kg/m2, 95% CI –0.34 to –0.00; P Conclusions Fitbit-measured physical activity was more strongly associated with BMI than self-reported physical activity, particularly for moderate activity, vigorous activity, and summary measures of total activity. Consumer-marketed wearable activity trackers such as the Fitbit may be useful for measuring health-relevant physical activity in clinical practice and research.
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机译：背景技术商业获取的可穿戴活动跟踪器，例如Fitbit提供物理活跃时间和步骤计数的客观，精确测量，但目前尚不清楚这些测量是否比自我报告的身体活动更加临床上有意义。目的本研究的目的是将自我报告的身体活动与Fitbit测量的步骤计数进行比较，然后通过使用在相同的时间内收集的数据来确定BMI的更强的预测因子。方法我们对健康eheart学习收集的数据进行了横截面分析，这是一项大型移动健康研究的心血管健康和疾病。将商业获得的Fibtbits联系在自由生活条件下与健康eheart学习和完成2013年之间的国际身体活动调查问卷（IPAQ）的成年人进行了注册（n = 1498）。 Fitbit步骤计数用于通过与IPAQ分类的方式量化的活动强度来量化时间，该方法具有久坐的，步行或做适度活动或蓬勃的活动。每天的Fitbit步骤被计算为具有IPAQ测量的整体活动的探索性比较的整体活动的衡量标准（任务[MET] -H / WK的代谢当量）。通过Spearman等级相关比较了物理活性的测量。使用BMI和协调因子的组织中的多变量强大的回归比较了与FITBET的BMI与IPAQ测量的关联强度。结果FITBITS的同步配对测量与IPAQ之间的相关性从弱到中等（0.09-0.48）。在测量的BMI和协变量（n = 586）的子集中，Fitbit衍生的预测因子通常比自我报告的预测因子更强的BMI预测因子。例如，每周额外的空白测量的剧烈活性与调整后分析中的BMI（-0.84kg / m 2,95％CI -1.35至-0.32）几乎全点降低相关，而自我之间的关联通过IPAQ和BMI测量的剧烈活性幅度大小（-0.17kg / m 2，95％Ci -0.34至-0.00; P结论Fitbit测量的身体活性比自我报告的身体活动更强烈地与BMI相关，特别是对于中等活动，剧烈活动和总活动的概要措施。诸如Fitbit的消费者销售的可穿戴活动跟踪器可用于测量临床实践和研究中的健康相关的身体活动。
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