Evidence map›Paper›PMID 32098894›Full record

Observational studyCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

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

Ruby Fore, Jaime E Hart, Christine Choirat, Jennifer W Thompson, Kathleen Lynch, Francine Laden, Jorge E Chavarro, Peter James

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women.The international journal of behavioral nutrition and physical activity · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Agreement between Fitbit and ActiGraph Estimates of Physical Activity in Young Children.Measurement in physical education and exercise science · 2023
    Article
  13. Article
  14. Associations between Nature Exposure and Health: A Review of the Evidence.International journal of environmental research and public health · 2021
    Review
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Ruby ForeHarvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Jaime E HartChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Christine ChoiratSwiss Data Science Center, ETH Zürich and EPFL, Zürich, Switzerland.ORCID 0000-0002-3745-9718
Jennifer W ThompsonHarvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Kathleen LynchHarvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Francine LadenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Jorge E ChavarroChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Peter JamesHarvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts. pjames@hsph.harvard.edu.ORCID 0000-0002-2858-1973
Brigham and Women's Hospital · USHarvard University · USMassachusetts Department of Public Health · USSwiss Data Science Center · CH

Funding

Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
High Resolution Measures of Behavioral Cancer Risk Factors From Mobile TechnologyR00CA201542 · NCI · HARVARD PILGRIM HEALTH CARE, INC. · PI JAMES, PETER · 2017 to 2019
$747k
NCI NIH HHS R00 CA201542NHLBI NIH HHS U01 HL145386
6 · The paper itself

Abstract

backgroundPhysical 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.

methodsThe 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.

resultsWe 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).

conclusionsThis 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.

Indexed as

Data CollectionMobile ApplicationsNeoplasmsSelf ReportTelemedicineAdultExerciseFemaleFitness TrackersHumansInternet-Based InterventionNursesPilot ProjectsProspective StudiesRisk FactorsSleep

Identifiers

PMID32098894
PMCPMC7171700
OpenAlexW3008556709

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.