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myCOtrak:一款可同时记录吸烟情况、尼古丁使用情况和呼出一氧化碳浓度的应用程序,用于吸烟研究。

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

作者信息

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

机构信息

Centre for Academic Primary Care, Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, NG7 2RD, UK.

School of Health Sciences, University of East Anglia, Norwich, NR4 7UL, UK.

出版信息

BMC Res Notes. 2025 Apr 10;18(1):158. doi: 10.1186/s13104-025-07195-2.

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.

摘要

目的

孕期吸烟会带来重大健康风险,因此需要对孕妇的吸烟行为进行准确的持续监测。现有的依靠自我报告的方法缺乏客观性,而像呼出一氧化碳(CO)这样的生化测量方法虽能提供验证,但参与者参与度较低。我们开发了myCOtrak,通过将实时CO监测与自我报告的吸烟、尼古丁替代疗法(NRT)和电子烟使用情况相结合来解决这些局限性。

结果

myCOtrak将来自Bedfont iCO监测仪的自动CO数据与每日调查相结合。在对23名参与者进行的初步测试中,它显示出了很高的可行性和可用性,75%的参与者持续提交数据≥14天。关键特性包括无缝的CO整合、基于云的存储和纵向跟踪,为戒烟研究提供了一个经过验证的、可扩展的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02b8/11987475/d487fac29651/13104_2025_7195_Fig3_HTML.jpg

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