Evidence map›Paper›PMID 32195373›Full record

ArticleNPJ digital medicine2020

Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review.

Brooke M Bell, Ridwan Alam, Nabil Alshurafa, Edison Thomaz, Abu S Mondol, Kayla de la Haye, John A Stankovic, John Lach, Donna Spruijt-Metz

Registry-linked trialOpen access · goldAbstract readScoping Review
In one paragraph

Article in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07067151 (Use of Noninvasive Wearables Biomonitoring to Detect Pre-Smoking, Smoking, And Post-Smoking Stages), which is not on this map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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.

NCT07067151 enrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Use of Noninvasive Wearables Biomonitoring to Detect Pre-Smoking, Smoking, And Post-Smoking Stages: An Observational Laboratory Study

TypeobservationalSponsorNational Institute on Minority Health and Health Disparities (NIMHD)Ran2026 to 2028Enrolled30ConditionsSmoking
3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 2 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Pooled it
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  9. Early Sound-Based Meal Onset Detection Using Hidden Markov Models (HMMs).IEEE journal of translational engineering in health and medicine · 2026
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  12. SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions.... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks · 2025
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1 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

9 authors at 5 institutions in 2 countries.

Brooke M Bell1Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089 USA.ORCID 0000-0001-8772-552X
Ridwan Alam2Department of Electrical and Computer Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904 USA.ORCID 0000-0002-4332-4051
Nabil Alshurafa3Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611 USA.ORCID 0000-0001-6681-7564
Edison Thomaz5Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712 USA.
Abu S Mondol6Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904 USA.
Kayla de la Haye1Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089 USA.ORCID 0000-0002-2536-7701
John A Stankovic6Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904 USA.
John Lach7Department of Electrical and Computer Engineering, School of Engineering and Applied Science, The George Washington University, Washington, DC 20052 USA.ORCID 0000-0002-7105-9996
Donna Spruijt-Metz1Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089 USA.
University of Southern California · USUniversity of Virginia · USGeorge Washington University · USNorthwestern University · USThe University of Texas at Austin · US

Funding

SenseWhy: Overeating in Obesity Through the Lens of Passive Sensing.K25DK113242 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ALSHURAFA, NABIL · 2018 to 2022
$881k
NIDDK NIH HHS K25 DK113242
6 · The paper itself

Abstract

Dietary intake, eating behaviors, and context are important in chronic disease development, yet our ability to accurately assess these in research settings can be limited by biased traditional self-reporting tools. Objective measurement tools, specifically, wearable sensors, present the opportunity to minimize the major limitations of self-reported eating measures by generating supplementary sensor data that can improve the validity of self-report data in naturalistic settings. This scoping review summarizes the current use of wearable devices/sensors that automatically detect eating-related activity in naturalistic research settings. Five databases were searched in December 2019, and 618 records were retrieved from the literature search. This scoping review included

Indexed as

ObesityTranslational research

Identifiers

PMID32195373
PMCPMC7069988
OpenAlexW3010810189

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.