Affordable Access

deepdyve-link
Publisher Website

Embedding Mobile Health Technology into the Nurses' Health Study 3 to Study Behavioral Risk Factors for Cancer.

Authors
  • Fore, Ruby1
  • Hart, Jaime E2, 3
  • Choirat, Christine4
  • Thompson, Jennifer W1
  • Lynch, Kathleen1
  • Laden, Francine2, 3
  • Chavarro, Jorge E2, 3
  • James, Peter5, 3
  • 1 Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
  • 2 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • 3 Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • 4 Swiss Data Science Center, ETH Zürich and EPFL, Zürich, Switzerland. , (Switzerland)
  • 5 Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts. [email protected]
Type
Published Article
Journal
Cancer Epidemiology Biomarkers & Prevention
Publisher
American Association for Cancer Research
Publication Date
Apr 01, 2020
Volume
29
Issue
4
Pages
736–743
Identifiers
DOI: 10.1158/1055-9965.EPI-19-1386
PMID: 32098894
Source
Medline
Language
English
License
Unknown

Abstract

Physical activity and sleep are behavioral risk factors for cancer that may be influenced by environmental exposures, including built and natural environments. However, many studies in this area are limited by residence-based exposure assessment and/or self-reported, time-aggregated measures of behavior. The Nurses' Health Study 3 (NHS3) Mobile Health Substudy is a pilot study of 500 participants in the prospective NHS3 cohort who use a smartphone application and a Fitbit for seven-day periods, four times over a year, to measure minute-level location, physical activity, heart rate, and sleep. We have collected data on 435 participants, comprising over 6 million participant-minutes of heart rate, step, sleep, and location. Over 90% of participants had five days of ≥600 minutes of Fitbit wear-time in their first sampling week, and this percentage dropped to 70% for weeks 2 to 4. Over 819 sampling weeks, we observed an average of 7,581 minutes of heart rate and step data [interquartile range (IQR): 6,651-9,645] per participant-week, and >2 million minutes of sleep in over 5,700 sleep bouts. We have recorded location data for 5,237 unique participant-days, averaging 104 location observations per participant-day (IQR: 103-107). This study describes a protocol to incorporate mobile health technology into a nationwide prospective cohort to measure high-resolution objective data on environment and behavior. This project could provide translational insights into interventions for urban planning to optimize opportunities for physical activity and healthy sleep patterns to reduce cancer risk.See all articles in this CEBP Focus section, "Modernizing Population Science." ©2020 American Association for Cancer Research.

Report this publication

Statistics

Seen <100 times