Evidence map›Paper›PMID 32613085›Full record

ReviewNPJ digital medicine2020

Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research.

Benjamin W Nelson, Carissa A Low, Nicholas Jacobson, Patricia Areán, John Torous, Nicholas B Allen

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

104 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Guideline
  6. Trial
  7. Guidelines for rigor and reproducibility of heart rate variability within human cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2026
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44 more citing papers are in PubMed but not listed here.

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

6 authors.

Benjamin W NelsonDepartment of Psychology, University of Oregon, Eugene, OR USA.ORCID 0000-0002-5474-7674
Carissa A LowDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA USA.ORCID 0000-0002-3318-7495
Nicholas JacobsonGeisel School of Medicine, Dartmouth College, Hanover, NH USA.
Patricia AreánDepartment of Psychiatry, University of Washington, Seattle, WA USA.
John TorousBeth Israel Deaconess Medical Center, Department of Psychiatry, Harvard Medical School, Boston, MA USA.
Nicholas B AllenDepartment of Psychology, University of Oregon, Eugene, OR USA.

Funding

Technology-supported sedentary behavior intervention to promote recovery from cancer surgeryK07CA204380 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOW, CARISSA A · 2016 to 2019
$451k
NCI NIH HHS K07 CA204380
6 · The paper itself

Abstract

Researchers have increasingly begun to use consumer wearables or wrist-worn smartwatches and fitness monitors for measurement of cardiovascular psychophysiological processes related to mental and physical health outcomes. These devices have strong appeal because they allow for continuous, scalable, unobtrusive, and ecologically valid data collection of cardiac activity in "big data" studies. However, replicability and reproducibility may be hampered moving forward due to the lack of standardization of data collection and processing procedures, and inconsistent reporting of technological factors (e.g., device type, firmware versions, and sampling rate), biobehavioral variables (e.g., body mass index, wrist dominance and circumference), and participant demographic characteristics, such as skin tone, that may influence heart rate measurement. These limitations introduce unnecessary noise into measurement, which can cloud interpretation and generalizability of findings. This paper provides a brief overview of research using commercial wearable devices to measure heart rate, reviews literature on device accuracy, and outlines the challenges that non-standardized reporting pose for the field. We also discuss study design, technological, biobehavioral, and demographic factors that can impact the accuracy of the passive sensing of heart rate measurements, and provide guidelines and corresponding checklist handouts for future study data collection and design, data cleaning and processing, analysis, and reporting that may help ameliorate some of these barriers and inconsistencies in the literature.

Indexed as

BiomarkersCardiovascular diseasesPsychologyRisk factors

Identifiers

PMID32613085
PMCPMC7320189

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.