Relations Between BMI Trajectories and Habitual Physical Activity Measured by a Smartwatch in the Electronic Cohort of the Framingham Heart Study: Cohort Study

被引:3
作者
Hammond, Michael M. [1 ,2 ]
Zhang, Yuankai [3 ]
Pathiravasan, Chathurangi H. [3 ]
Lin, Honghuang [4 ]
Sardana, Mayank [5 ]
Trinquart, Ludovic [3 ]
Benjamin, Emelia J. [1 ,2 ,6 ,7 ,8 ]
Borrelli, Belinda [9 ]
Manders, Emily S. [1 ,2 ]
Fusco, Kelsey [1 ,2 ]
Kornej, Jelena [1 ,2 ]
Spartano, Nicole L. [10 ]
Kheterpal, Vik [11 ]
Nowak, Christopher [11 ]
Mcmanus, David [12 ]
Liu, Chunyu [3 ]
Murabito, Joanne M. [1 ,2 ,13 ]
机构
[1] Boston Univ, Framingham, MA USA
[2] NHLBI, Framingham Heart Study, Framingham, MA USA
[3] Boston Univ, Sch Publ Hlth, Dept Biostat, Boston, MA USA
[4] Univ Massachusetts, Dept Med, Div Clin Informat, Med Sch, Worcester, MA USA
[5] Univ Calif San Francisco, Dept Med, Cardiol Div, San Francisco, CA USA
[6] Boston Med Ctr, Dept Med, Sect Cardiovasc Med, Boston, MA USA
[7] Boston Univ, Sch Med, Boston, MA USA
[8] Boston Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA USA
[9] Boston Univ, Henry M Goldman Sch Dent Med, Dept Hlth Policy & Hlth Serv Res, Boston, MA USA
[10] Boston Univ, Sch Med, Sect Endocrinol Diabet Nutr & Weight Management, Boston, MA USA
[11] Care Evolut, Ann Arbor, MI USA
[12] Univ Massachusetts, Dept Med, Cardiol Div, Med Sch, Worcester, MA USA
[13] Boston Univ, Dept Med, Sect Gen Internal Med, Sch Med, 715 Albany St, Boston, MA 02118 USA
关键词
mobile health; BMI; smartwatch; physical activity; cardiovascular diseases; cardiology; digital health; mHealth; mobile health apps; WEIGHT-GAIN; OBESITY; ASSOCIATION; HEALTH; OVERWEIGHT; COUNT; WOMEN; RISK;
D O I
10.2196/32348
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The prevalence of obesity is rising. Most previous studies that examined the relations between BMI and physical activity (PA) measured BMI at a single timepoint. The association between BMI trajectories and habitual PA remains unclear. Objective: This study assesses the relations between BMI trajectories and habitual step-based PA among participants enrolled in the electronic cohort of the Framingham Heart Study (eFHS). Methods: We used a semiparametric group-based modeling to identify BMI trajectories from eFHS participants who attended research examinations at the Framingham Research Center over 14 years. Daily steps were recorded from the smartwatch provided at examination 3. We excluded participants with <30 days or <5 hours of smartwatch wear data. We used generalized linear models to examine the association between BMI trajectories and daily step counts. Results: We identified 3 trajectory groups for the 837 eFHS participants (mean age 53 years; 57.8% [484/837] female). Group 1 included 292 participants whose BMI was stable (slope 0.005; P =.75), group 2 included 468 participants whose BMI increased slightly (slope 0.123; P <.001), and group 3 included 77 participants whose BMI increased greatly (slope 0.318; P <.001). The median follow-up period for step count was 516 days. Adjusting for age, sex, wear time, and cohort, participants in groups 2 and 3 took 422 (95% CI -823 to -21) and 1437 (95% CI -2084 to -790) fewer average daily steps, compared with participants in group 1. After adjusting for metabolic and social risk factors, group 2 took 382 (95% CI -773 to 10) and group 3 took 1120 (95% CI -1766 to -475) fewer steps, compared with group 1. Conclusions: In this community-based eFHS, participants whose BMI trajectory increased greatly over time took significantly fewer steps, compared with participants with stable BMI trajectories. Our findings suggest that greater weight gain may correlate with lower levels of step-based physical activity.
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页数:11
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