Evidence map›Paper›PMID 40819863›Full record

ArticleBMJ open2025

Use of non-invasive wearables biomonitoring to detect presmoking, smoking and postsmoking stages: protocol for an observational laboratory study.

Sherine El-Toukhy, Shahab Haghayegh, Eleanor Leavens, Flori Sassano, Robert Tarran

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sherine El-ToukhyDivision of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Rockville, Maryland, USA sherine.el-toukhy@nih.gov.ORCID http://orcid.org/0000-0002-0329-5823
Shahab HaghayeghHarvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0002-7232-2637
Eleanor LeavensDepartment of Population Health, The University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID http://orcid.org/0000-0003-2948-2384
Flori SassanoDivision of Genetic, Environmental and Inhalational Disease, Department of Internal Medicine, The University of Kansas Medical Center, Kansas City, Kansas, USA.
Robert TarranDivision of Genetic, Environmental and Inhalational Disease, Department of Internal Medicine, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Funding

Digital Health and Health Disparities Research LabZIAMD000011 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI EL-TOUKHY, SHERINE · 2018 to 2025
$3.1M
Circadian Disturbance and Dementia in Latin AmericaR01AG083799 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Kun Hu, Agustin M. Ibanez · 2023 to 2026
$3.0M
Impact of e-cigarette nicotine concentration on compensation, cigarette use, and biomarkers of exposure and harm in African American and White smokersK01DA054995 · NIDA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI LEAVENS, ELEANOR LADD SCHNEIDER · 2021 to 2025
$882k
Prediction of dementia in older adults using nonlinear EEG featuresK99AG083234 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HAGHAYEGH, SHAHAB · 2024 to 2025
$269k
Intramural NIH HHS ZIA MD000011NIA NIH HHS K99 AG083234NIA NIH HHS R01 AG083799NIDA NIH HHS K01 DA054995
6 · The paper itself

Abstract

introductionReliable detection of cigarette smoking is necessary for just-in-time adaptive smoking cessation support. Smoking detection typically relies on intervention recipients to self-report smoking behaviours and their antecedents, which is burdensome and subject to reporting biases, or on specialised sensors and wearables to detect smoking gestures, which may not be feasible for real-world implementation. Here, we describe an observational laboratory-based study protocol designed to identify signature biomarkers and hand-mouth gestures associated with presmoking, smoking and postsmoking using off-the-shelf wearable devices. METHODS AND ANALYSIS: 30 non-treatment seeking individuals who use combustible tobacco products will participate in the study. Participants will be monitored for 1 hour in a smoking chamber, during which time they will wear a Garmin device that will collect hand/arm movement, heart rate, heart rate variability, blood oxygenation and respiratory rate. First, participants will be in a nicotine-deprived state based on 12-hour abstinence validated by exhaled carbon monoxide readings (~20 min). Then, participants will be allowed to smoke cigarettes of their choice (~10-15 min). Finally, participants will be in a nicotine-satiated state (~25 min). Participants will be video recorded to allow us to label the data corresponding to the smoking stage and behaviour. We will conduct time-series analysis and analysis of variance to quantify changes in biomarkers between smoking stages. ETHICS AND DISSEMINATION: The Institutional Review Board of the University of Kansas Medical Centre approved the study on 21/3/2025 (STUDY00161139). Participants will provide informed consent to participate in the study. Data collection is expected to begin in September 2025 and results will be submitted for publication in 2026. TRIAL REGISTRATION NUMBER: NCT07067151.

Indexed as

Biological MonitoringCigarette SmokingSmokingSmoking CessationWearable Electronic DevicesAdultBiomarkersFemaleHeart RateHumansMaleMiddle AgedObservational Studies as TopicResearch DesignYoung AdultBiomarkersDigital TechnologySmoking ReductionWearable Electronic Devices

Identifiers

PMID40819863
PMCPMC12359443

What OpenQuestion holds

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LicenceCC BY-NC
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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.