Literature DB >> 32098894

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

Ruby Fore1, Jaime E Hart2,3, Christine Choirat4, Jennifer W Thompson1, Kathleen Lynch1, Francine Laden2,3, Jorge E Chavarro2,3, Peter James5,3.   

Abstract

BACKGROUND: 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.
METHODS: 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.
RESULTS: 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).
CONCLUSIONS: 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. IMPACT: 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.

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Mesh:

Year:  2020        PMID: 32098894      PMCID: PMC7171700          DOI: 10.1158/1055-9965.EPI-19-1386

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  64 in total

1.  Comparison of steps and energy expenditure assessment in adults of Fitbit Tracker and Ultra to the Actical and indirect calorimetry.

Authors:  J Adam Noah; David K Spierer; Jialu Gu; Shaw Bronner
Journal:  J Med Eng Technol       Date:  2013-09-05

2.  Comparative evaluation of heart rate-based monitors: Apple Watch vs Fitbit Charge HR.

Authors:  Yang Bai; Paul Hibbing; Constantine Mantis; Gregory J Welk
Journal:  J Sports Sci       Date:  2017-12-06       Impact factor: 3.337

Review 3.  Embodiment: a conceptual glossary for epidemiology.

Authors:  Nancy Krieger
Journal:  J Epidemiol Community Health       Date:  2005-05       Impact factor: 3.710

4.  Measures of sleep and cardiac functioning during sleep using a multi-sensory commercially-available wristband in adolescents.

Authors:  Massimiliano de Zambotti; Fiona C Baker; Adrian R Willoughby; Job G Godino; David Wing; Kevin Patrick; Ian M Colrain
Journal:  Physiol Behav       Date:  2016-03-09

Review 5.  Using accelerometers to measure physical activity in large-scale epidemiological studies: issues and challenges.

Authors:  I-Min Lee; Eric J Shiroma
Journal:  Br J Sports Med       Date:  2013-12-02       Impact factor: 13.800

Review 6.  Geographic life environments and coronary heart disease: a literature review, theoretical contributions, methodological updates, and a research agenda.

Authors:  Basile Chaix
Journal:  Annu Rev Public Health       Date:  2009       Impact factor: 21.981

7.  Conceptualization and measurement of environmental exposure in epidemiology: accounting for activity space related to daily mobility.

Authors:  Camille Perchoux; Basile Chaix; Steven Cummins; Yan Kestens
Journal:  Health Place       Date:  2013-02-04       Impact factor: 4.078

8.  Validity and usability of low-cost accelerometers for internet-based self-monitoring of physical activity in patients with chronic obstructive pulmonary disease.

Authors:  Martijn Vooijs; Laurence L Alpay; Jiska B Snoeck-Stroband; Thijs Beerthuizen; Petra C Siemonsma; Jannie J Abbink; Jacob K Sont; Ton A Rövekamp
Journal:  Interact J Med Res       Date:  2014-10-27

9.  How accurate are the wrist-based heart rate monitors during walking and running activities? Are they accurate enough?

Authors:  Sarah E Stahl; Hyun-Sung An; Danae M Dinkel; John M Noble; Jung-Min Lee
Journal:  BMJ Open Sport Exerc Med       Date:  2016-04-25

10.  Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study.

Authors:  Benjamin W Nelson; Nicholas B Allen
Journal:  JMIR Mhealth Uhealth       Date:  2019-03-11       Impact factor: 4.773

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  1 in total

Review 1.  Associations between Nature Exposure and Health: A Review of the Evidence.

Authors:  Marcia P Jimenez; Nicole V DeVille; Elise G Elliott; Jessica E Schiff; Grete E Wilt; Jaime E Hart; Peter James
Journal:  Int J Environ Res Public Health       Date:  2021-04-30       Impact factor: 3.390

  1 in total

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