myCOtrak: an app which records smoking, nicotine use and exhaled carbon monoxide concentrations concurrently for use in smoking research

Yue Huang; Joanne Emery; Lisa McDaid; Felix Naughton; Miranda Clark; Anne Dickinson; Sue Cooper; Tim Coleman

doi:10.1186/s13104-025-07195-2

myCOtrak: an app which records smoking, nicotine use and exhaled carbon monoxide concentrations concurrently for use in smoking research

Yue Huang, Joanne Emery, Lisa McDaid, Felix Naughton, Miranda Clark, Anne Dickinson, Sue Cooper, Tim Coleman

Research output: Contribution to journal › Article › peer-review

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Abstract

Objective
Smoking during pregnancy poses significant health risks, necessitating accurate continuous monitoring of pregnant women’s smoking behaviours. Existing methods relying on self-reporting lack objectivity, while biochemical measures like exhaled carbon monoxide (CO) provide validation but suffer from low participant engagement. We developed myCOtrak to address these limitations by integrating real-time CO monitoring with self-reported smoking, nicotine replacement therapy (NRT), and e-cigarette use.

Results
myCOtrak combines automated CO data from the Bedfont iCO monitor with daily surveys. It demonstrated high feasibility and usability in initial testing with 23 participants, with 75% continuing data submission for ≥ 14 days. Key features include seamless CO integration, cloud-based storage, and longitudinal tracking, offering a validated, scalable tool for smoking cessation research.

Original language	English
Article number	158
Journal	BMC Research Notes
Volume	18
Issue number	1
DOIs	https://doi.org/10.1186/s13104-025-07195-2
Publication status	Published - 10 Apr 2025

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1186/s13104-025-07195-2Licence: CC BY-NC-ND

s13104-025-07195-2Final published version, 1.64 MBLicence: CC BY-NC-ND

Cite this

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title = "myCOtrak: an app which records smoking, nicotine use and exhaled carbon monoxide concentrations concurrently for use in smoking research",

abstract = "ObjectiveSmoking during pregnancy poses significant health risks, necessitating accurate continuous monitoring of pregnant women{\textquoteright}s smoking behaviours. Existing methods relying on self-reporting lack objectivity, while biochemical measures like exhaled carbon monoxide (CO) provide validation but suffer from low participant engagement. We developed myCOtrak to address these limitations by integrating real-time CO monitoring with self-reported smoking, nicotine replacement therapy (NRT), and e-cigarette use.ResultsmyCOtrak combines automated CO data from the Bedfont iCO monitor with daily surveys. It demonstrated high feasibility and usability in initial testing with 23 participants, with 75% continuing data submission for ≥ 14 days. Key features include seamless CO integration, cloud-based storage, and longitudinal tracking, offering a validated, scalable tool for smoking cessation research.",

author = "Yue Huang and Joanne Emery and Lisa McDaid and Felix Naughton and Miranda Clark and Anne Dickinson and Sue Cooper and Tim Coleman",

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T1 - myCOtrak: an app which records smoking, nicotine use and exhaled carbon monoxide concentrations concurrently for use in smoking research

AU - Huang, Yue

AU - Emery, Joanne

AU - McDaid, Lisa

AU - Naughton, Felix

AU - Clark, Miranda

AU - Dickinson, Anne

AU - Cooper, Sue

AU - Coleman, Tim

PY - 2025/4/10

Y1 - 2025/4/10

N2 - ObjectiveSmoking during pregnancy poses significant health risks, necessitating accurate continuous monitoring of pregnant women’s smoking behaviours. Existing methods relying on self-reporting lack objectivity, while biochemical measures like exhaled carbon monoxide (CO) provide validation but suffer from low participant engagement. We developed myCOtrak to address these limitations by integrating real-time CO monitoring with self-reported smoking, nicotine replacement therapy (NRT), and e-cigarette use.ResultsmyCOtrak combines automated CO data from the Bedfont iCO monitor with daily surveys. It demonstrated high feasibility and usability in initial testing with 23 participants, with 75% continuing data submission for ≥ 14 days. Key features include seamless CO integration, cloud-based storage, and longitudinal tracking, offering a validated, scalable tool for smoking cessation research.

AB - ObjectiveSmoking during pregnancy poses significant health risks, necessitating accurate continuous monitoring of pregnant women’s smoking behaviours. Existing methods relying on self-reporting lack objectivity, while biochemical measures like exhaled carbon monoxide (CO) provide validation but suffer from low participant engagement. We developed myCOtrak to address these limitations by integrating real-time CO monitoring with self-reported smoking, nicotine replacement therapy (NRT), and e-cigarette use.ResultsmyCOtrak combines automated CO data from the Bedfont iCO monitor with daily surveys. It demonstrated high feasibility and usability in initial testing with 23 participants, with 75% continuing data submission for ≥ 14 days. Key features include seamless CO integration, cloud-based storage, and longitudinal tracking, offering a validated, scalable tool for smoking cessation research.

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DO - 10.1186/s13104-025-07195-2

M3 - Article

SN - 1756-0500

VL - 18

JO - BMC Research Notes

JF - BMC Research Notes

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