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

Autor:	Hammond MM; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States., Zhang Y; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States., Pathiravasan CH; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States., Lin H; Division of Clinical Informatics, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States., Sardana M; Cardiology Division, Department of Medicine, University of California San Francisco, San Francisco, CA, United States., Trinquart L; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States., Benjamin EJ; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.; Section of Cardiovascular Medicine, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, United States.; Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States., Borrelli B; Department of Health Policy & Health Services Research, Henry M Goldman School of Dental Medicine, Boston University, Boston, MA, United States., Manders ES; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States., Fusco K; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States., Kornej J; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States., Spartano NL; Section of Endocrinology, Diabetes, Nutrition, and Weight Management, Boston University School of Medicine, Boston, MA, United States., Kheterpal V; Care Evolution, Ann Arbor, MI, United States., Nowak C; Care Evolution, Ann Arbor, MI, United States., McManus DD; Cardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States.; Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States., Liu C; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States., Murabito JM; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.; Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States.
Jazyk:	angličtina
Zdroj:	JMIR cardio [JMIR Cardio] 2022 Apr 27; Vol. 6 (1), pp. e32348. Date of Electronic Publication: 2022 Apr 27.
DOI:	10.2196/32348
Abstrakt:	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. (©Michael M Hammond, Yuankai Zhang, Chathurangi H. Pathiravasan, Honghuang Lin, Mayank Sardana, Ludovic Trinquart, Emelia J Benjamin, Belinda Borrelli, Emily S Manders, Kelsey Fusco, Jelena Kornej, Nicole L Spartano, Vik Kheterpal, Christopher Nowak, David D McManus, Chunyu Liu, Joanne M Murabito. Originally published in JMIR Cardio (https://cardio.jmir.org), 27.04.2022.)
Databáze:	MEDLINE
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