Association of Longitudinal Activity Measures and Diabetes Risk: An Analysis From the National Institutes of Health All of Us Research Program

被引:12
作者
Perry, Andrew S. [1 ,11 ]
Annis, Jeffrey S. [2 ]
Master, Hiral [2 ]
Nayor, Matthew [3 ,4 ]
Hughes, Andrew [5 ]
Kouame, Aymone [2 ]
Natarajan, Karthik [6 ]
Marginean, Kayla [2 ]
Murthy, Venkatesh [7 ]
Roden, Dan M. [5 ,8 ,9 ]
Harris, Paul A. [2 ,10 ]
Shah, Ravi [1 ]
Brittain, Evan L. [1 ]
机构
[1] Vanderbilt Univ, Vanderbilt Translat & Clin Cardiovasc Res Ctr, Sch Med, Nashville, TN 37203 USA
[2] Vanderbilt Univ, Vanderbilt Inst Clin & Translat Res, Sch Med, Nashville, TN 37203 USA
[3] Boston Univ, Dept Med, Sect Cardiovasc Med, Sch Med, Boston, MA 02118 USA
[4] Boston Univ, Dept Med, Sect Prevent Med & Epidemiol, Sch Med, Boston, MA 02118 USA
[5] Vanderbilt Univ, Dept Med, Med Ctr, Nashville, TN 37203 USA
[6] Columbia Univ, Dept Biomed Informat, New York, NY 10032 USA
[7] Univ Michigan, Dept Med & Radiol, Ann Arbor, MI 48109 USA
[8] Vanderbilt Univ, Dept Pharmacol, Med Ctr, Nashville, TN 37203 USA
[9] Vanderbilt Univ, Dept Biomed Informat, Med Ctr, Nashville, TN 37203 USA
[10] Vanderbilt Univ, Dept Biomed Engn, Med Ctr, Nashville, TN 37203 USA
[11] Vanderbilt Univ, Vanderbilt Translat & Clin Cardiovasc Res Ctr, Med Ctr, 2525 West End Ave,Suite 300, Nashville, TN 37203 USA
基金
美国国家卫生研究院;
关键词
activity monitoring; diabetes; physical activity; risk factors; PHYSICAL-ACTIVITY; CARDIOVASCULAR-DISEASE; SEDENTARY BEHAVIOR; POPULATION; STATEMENT; MORTALITY; EXERCISE;
D O I
10.1210/clinem/dgac695
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Context Prior studies of the relationship between physical activity and incident type 2 diabetes mellitus (T2DM) relied primarily on questionnaires at a single time point. Objective We sought to investigate the relationship between physical activity and incident T2DM with an innovative approach using data from commercial wearable devices linked to electronic health records in a real-world population. Methods Using All of Us participants' accelerometer data from their personal Fitbit devices, we used a time-varying Cox proportional hazards models with repeated measures of physical activity for the outcome of incident T2DM. We evaluated for effect modification with age, sex, body mass index (BMI), and sedentary time using multiplicative interaction terms. Results From 5677 participants in the All of Us Research Program (median age 51 years; 74% female; 89% White), there were 97 (2%) cases of incident T2DM over a median follow-up period of 3.8 years between 2010 to 2021. In models adjusted for age, sex, and race, the hazard of incident diabetes was reduced by 44% (95% CI, 15%-63%; P = 0.01) when comparing those with an average daily step count of 10 700 to those with 6000. Similar benefits were seen comparing groups based on average duration of various intensities of activity (eg, lightly active, fairly active, very active). There was no evidence for effect modification by age, sex, BMI, or sedentary time. Conclusion Greater time in any type of physical activity intensity was associated with lower risk of T2DM irrespective of age, sex, BMI, or sedentary time.
引用
收藏
页码:1101 / 1109
页数:9
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