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Activity Number:
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81
- Contributed Poster Presentations: Section on Statistics in Epidemiology
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #313879
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Title:
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Comparison of Smartwatch-Based Lifestyle Measures Between Individuals with and Without Type 2 Diabetes in the Middle-Aged Participants of the Framingham Heart Study
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Author(s):
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Yuankai Zhang* and Chathurangi H Pathiravasan and Michael Hammond and Honghuang Lin and Mayank Sardana and Ludovic Trinquart and Emelia J. Benjamin and Belinda Borrelli and Kelsey Fusco and Jelena Kornej and Nicole Spartano and David McManus and Emily Manders and Vik Kheterpal and Chris Nowak and Joanne M. Murabito and Chunyu Liu
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Companies:
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Boston University School of Public Health and Department of Biostatistics, School of Public Health, Boston University and Boston University and Section of Computational Biomedicine, Department of Medicine, Boston University and University of California San Francisco and Boston University School of Public Health and Department of Medicine, and Department of Epidemiology, Boston University and Department of Health Policy & Health Services Research, Boston University and Boston University and Boston University and Boston University and University of Massachusetts and Boston University and Care Evolution and Care Evolution and Section of General Internal Medicine, Department of Medicine, Boston University and Department of Biostatistics, Boston University School of Public Health, Boston
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Keywords:
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type 2 diabetes;
mobile health;
sleep pattern;
lifestyle;
smartwatch
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Abstract:
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Diabetes affects > 30 million US adults. We aimed to cross-sectionally compare lifestyle patterns between individuals with and without type 2 diabetes (T2DM) using smartwatches deployed to 804 consenting participants (mean age 52.8, 61.8% women, 41 T2DM) who wore smartwatches ? 10 hours/day for > 30 days in the electronic Framingham Heart Study. We derived first-watch-time, last-watch-time, and non-watch-time and calculated intra-individual day-to-day variability (SD, unit = one minute) of each variable to capture lifestyle patterns. Linear regression was used to compare each variable between individuals with and without T2DM adjusting for sex, age, BMI and race. The inter-individual means of the three watch-time variables were not significantly different between individuals with and without T2DM (P>0.05). However, individuals with T2DM had 10.2 higher SD unit of first-watch-time (95% CI=3, 16.8), 11.4 higher SD unit of non-watch-time (95% CI= 3, 19.8), and 4.8 higher SD unit of last-watch-time (95%CI=0, 9) compared to those without T2DM. Our study suggests lifestyle tends to be irregular in individuals with T2DM but further investigation is needed.
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Authors who are presenting talks have a * after their name.
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