Hou Yu, Cui Erjia, Ikramuddin Sayeed, Zhang Rui
medRxiv. 2024 Nov 12:2024.11.11.24317124. doi: 10.1101/2024.11.11.24317124.
Physical activity is widely recognized as a key modifiable factor for reducing the risk of chronic diseases. Wearable devices such as Fitbit offer a unique opportunity to objectively measure physical activity metrics, providing insights into the association between different types of physical activity and chronic disease risk.
This study aims to examine the association between physical activity metrics derived from Fitbit devices and the incidence of various chronic diseases among participants from the All of Us Research Program.
Physical activity metrics included daily steps, elevation gain, and activity durations at different intensities (e.g., very active, lightly active, and sedentary). Cox proportional hazards models and multiple regression models were used to assess the relationship between these metrics and the incidence of chronic diseases represented by Phecodes. Age, sex, and body mass index (BMI) were included as covariates.
A total of 15,538 participants provided Fitbit activity data, of which 9,320 also had electronic health records (EHR). Increased daily step count, elevation gain, and very active minutes were significantly associated with a reduced risk of several chronic conditions, including obesity, Type 2 diabetes, and major depressive disorder. Conversely, increased sedentary time was linked to higher risks for conditions such as obesity, Type 2 diabetes, and essential hypertension. Multiple regression analyses confirmed these associations.
Our findings highlight the beneficial effects of increased physical activity, particularly daily steps and elevation gain, on reducing the risk of chronic diseases. Conversely, sedentary behavior remains a significant risk factor for the development of several conditions. These insights may inform personalized activity recommendations aimed at reducing disease burden and improving population health outcomes.
体育活动被广泛认为是降低慢性病风险的关键可改变因素。像Fitbit这样的可穿戴设备提供了一个独特的机会来客观测量体育活动指标，从而深入了解不同类型的体育活动与慢性病风险之间的关联。
本研究旨在探讨来自Fitbit设备的体育活动指标与“我们所有人”研究项目参与者中各种慢性病发病率之间的关联。
体育活动指标包括每日步数、海拔增益以及不同强度（如非常活跃、轻度活跃和久坐）下的活动时长。使用Cox比例风险模型和多元回归模型来评估这些指标与以疾病编码表示的慢性病发病率之间的关系。年龄、性别和体重指数（BMI）作为协变量纳入。
共有15538名参与者提供了Fitbit活动数据，其中9320人也有电子健康记录（EHR）。每日步数增加、海拔增益增加以及非常活跃的分钟数与包括肥胖、2型糖尿病和重度抑郁症在内的几种慢性病风险降低显著相关。相反，久坐时间增加与肥胖、2型糖尿病和原发性高血压等疾病的较高风险相关。多元回归分析证实了这些关联。
我们的研究结果突出了增加体育活动，特别是每日步数和海拔增益，对降低慢性病风险的有益影响。相反，久坐行为仍然是几种疾病发生的重要风险因素。这些见解可能为旨在减轻疾病负担和改善人群健康结果的个性化活动建议提供参考。
