Cardiovascular Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.
Arch Iran Med. 2024 May 1;27(5):255-264. doi: 10.34172/aim.2024.37.
Cardiovascular diseases (CVDs) pose a significant global health concern and are the most common cause of death and disability, necessitating preventive interventions targeting modifiable risk factors. Recently, mobile-health technology has been developed to improve the delivery of cardiovascular prevention by risk factor modification. The "Green Heart" mobile application (app) was designed to aid in risk factor control among coronary artery disease (CAD) patients.
This parallel-group, single-blinded randomized controlled trial enrolled 1590 CAD patients, including 668 current smokers, randomly assigned to control (paper-based education) and intervention (application-based) groups. The app encompassed three modules targeting smoking cessation, dyslipidemia control, and blood pressure management. This study evaluated the impact of the smoking cessation module on behavioral change among current smokers. Green Heart assesses nicotine dependence, offering personalized quit plans, educational content, motivational messages, and automated progress tracking. The odds of smoking behavior changes during the 24-week follow-up underwent assessment.
The intention-to-treat analysis highlighted significantly elevated rates of smoking cessation and reductions in the intervention group versus the control group. Adherence to the app (per-treatment analysis) also demonstrated significantly more favorable smoking behavior changes among the application users. Logistic regression emphasized higher odds of quitting and reduction in smoking in the application group, showing an odds ratio of 2.14 (95% CI: 1.16-3.97) compared to those not using the app (=0.015).
Our results confirmed that complete adherence to the app for at least 24 weeks was linked to alterations in cigarette smoking behavior among CAD patients. IRCT20221016056204N1.
心血管疾病(CVDs)是一个重大的全球健康问题,也是导致死亡和残疾的最常见原因,因此需要针对可改变的危险因素进行预防干预。最近,移动医疗技术已经被开发出来,以通过危险因素的改变来改善心血管预防的实施。“绿心”移动应用程序(app)旨在帮助冠心病(CAD)患者控制危险因素。
这是一项平行组、单盲随机对照试验,共纳入 1590 名 CAD 患者,其中 668 名为现吸烟者,随机分为对照组(基于纸质的教育)和干预组(基于应用程序的教育)。该应用程序包括三个模块,分别针对戒烟、血脂异常控制和血压管理。本研究评估了戒烟模块对现吸烟者行为改变的影响。“绿心”评估尼古丁依赖程度,提供个性化的戒烟计划、教育内容、激励信息和自动进度跟踪。在 24 周的随访期间,评估吸烟行为变化的可能性。
意向治疗分析表明,干预组的戒烟率和吸烟减少率明显高于对照组。对应用程序的依从性(每治疗分析)也表明,应用程序使用者的吸烟行为改变更为有利。逻辑回归强调了应用程序组戒烟和减少吸烟的更高可能性,与未使用应用程序的患者相比,其优势比为 2.14(95%置信区间:1.16-3.97)(=0.015)。
我们的结果证实,至少 24 周完全依从应用程序与 CAD 患者吸烟行为的改变有关。IRCT20221016056204N1。