دورية أكاديمية
أعرض في EDS

Comparison of Daily Routines Between Middle-aged and Older Participants With and Those Without Diabetes in the Electronic Framingham Heart Study: Cohort Study.

التفاصيل البيبلوغرافية
العنوان: Comparison of Daily Routines Between Middle-aged and Older Participants With and Those Without Diabetes in the Electronic Framingham Heart Study: Cohort Study.
المؤلفون: 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., Hammond MM; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States., Liu H; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States., Lin H; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, 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., Borrelli B; Center for Behavioral Science 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., 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., Nowak C; Care Evolution, Ann Arbor, MI, United States., Kheterpal V; Care Evolution, Ann Arbor, MI, United States., Benjamin EJ; Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.; Section of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States.; Department of Epidemiology, Boston University School of Public Health, Boston, MA, 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., 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., Liu C; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States.
المصدر: JMIR diabetes [JMIR Diabetes] 2022 Jan 07; Vol. 7 (1), pp. e29107. Date of Electronic Publication: 2022 Jan 07.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101719410 Publication Model: Electronic Cited Medium: Internet ISSN: 2371-4379 (Electronic) Linking ISSN: 23714379 NLM ISO Abbreviation: JMIR Diabetes Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Toronto, ON, Canada : JMIR Publications Inc., [2016]-
مستخلص: Background: Daily routines (eg, physical activity and sleep patterns) are important for diabetes self-management. Traditional research methods are not optimal for documenting long-term daily routine patterns in participants with glycemic conditions. Mobile health offers an effective approach for collecting users' long-term daily activities and analyzing their daily routine patterns in relation to diabetes status.
Objective: This study aims to understand how routines function in diabetes self-management. We evaluate the associations of daily routine variables derived from a smartwatch with diabetes status in the electronic Framingham Heart Study (eFHS).
Methods: The eFHS enrolled the Framingham Heart Study participants at health examination 3 between 2016 and 2019. At baseline, diabetes was defined as fasting blood glucose level ≥126 mg/dL or as a self-report of taking a glucose-lowering medication; prediabetes was defined as fasting blood glucose level of 100-125 mg/dL. Using smartwatch data, we calculated the average daily step counts and estimated the wake-up times and bedtimes for the eFHS participants on a given day. We compared the average daily step counts and the intraindividual variability of the wake-up times and bedtimes of the participants with diabetes and prediabetes with those of the referents who were neither diabetic nor prediabetic, adjusting for age, sex, and race or ethnicity.
Results: We included 796 participants (494/796, 62.1% women; mean age 52.8, SD 8.7 years) who wore a smartwatch for at least 10 hours/day and remained in the study for at least 30 days after enrollment. On average, participants with diabetes (41/796, 5.2%) took 1611 fewer daily steps (95% CI 863-2360; P<.001) and had 12 more minutes (95% CI 6-18; P<.001) in the variation of their estimated wake-up times, 6 more minutes (95% CI 2-9; P=.005) in the variation of their estimated bedtimes compared with the referents (546/796, 68.6%) without diabetes or prediabetes. Participants with prediabetes (209/796, 26.2%) also walked fewer daily steps (P=.04) and had a larger variation in their estimated wake-up times (P=.04) compared with the referents.
Conclusions: On average, participants with diabetes at baseline walked significantly fewer daily steps and had larger variations in their wake-up times and bedtimes than the referent group. These findings suggest that modifying the routines of participants with poor glycemic health may be an important approach to the self-management of diabetes. Future studies should be designed to improve the remote monitoring and self-management of diabetes.
(©Yuankai Zhang, Chathurangi H Pathiravasan, Michael M Hammond, Hongshan Liu, Honghuang Lin, Mayank Sardana, Ludovic Trinquart, Belinda Borrelli, Emily S Manders, Jelena Kornej, Nicole L Spartano, Christopher Nowak, Vik Kheterpal, Emelia J Benjamin, David D McManus, Joanne M Murabito, Chunyu Liu. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 07.01.2022.)
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معلومات مُعتمدة: R01 HL126911 United States HL NHLBI NIH HHS; R01 HL137734 United States HL NHLBI NIH HHS; R01 HL141434 United States HL NHLBI NIH HHS; R01 HL092577 United States HL NHLBI NIH HHS; U54 HL120163 United States HL NHLBI NIH HHS; R01 AG066010 United States AG NIA NIH HHS; U54 HL143541 United States HL NHLBI NIH HHS; R01 HL137794 United States HL NHLBI NIH HHS; 75N92019D00031 United States HL NHLBI NIH HHS
فهرسة مساهمة: Keywords: daily physical activities; daily routine pattern; diabetes; diabetes self-management; mobile health; mobile phone; sleep; smartwatch; step counts
تواريخ الأحداث: Date Created: 20220107 Latest Revision: 20220309
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC8783285
DOI: 10.2196/29107
PMID: 34994694
قاعدة البيانات: MEDLINE
الوصف
تدمد:2371-4379
DOI:10.2196/29107