避免吸烟:促进预防吸烟行为的移动健康证据和基于理论的干预

Mehdi Mirzaei Alavijeh, Rebwar Rzgar Qadir, F. Jalilian
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引用次数: 0

摘要

背景:移动技术和设备有效地维护健康和福祉是卫生政策制定者和相关利益攸关方的一个有希望的机会。目的:本研究旨在评估伊拉克北部促进大学生预防吸烟行为的移动健康项目。以吸烟行为影响因素综合模型(IMFISB)为理论框架。方法:对伊拉克北部拉帕林大学的150名库尔德族学生进行准实验研究。大学生被随机分为干预组(n = 75)和对照组(n = 75)。使用移动应用程序(避免吸烟)对基于移动健康理论的干预方案进行了8次评估。在项目实施前和实施后两个月,采用问卷调查的方式收集数据,并在SPSS软件16版中进行分析。结果:信念、价值观和家庭压力的效应量估计为“小”。知识、态度、同伴压力、自我形象和意向的效应量估计为“中等”。预防吸烟行为的平均反应为15.17,干预组在实施方案后显著增加到16.88 (P < 0.001),估计预防吸烟行为的效应量为“中等”。结论:基于研究结果,采用流动健康循证干预措施对学生进行预防吸烟干预是有效的。
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Avoid Smoking: mHealth Evidence and Theory-Based Intervention to Promote Smoking Prevention Behaviors
Background: Mobile technologies and devices effectively maintain health and well-being is a promising opportunity for health policymakers and relevant stakeholders. Objectives: The current study aimed to evaluate a mhealth program to promote smoking prevention behaviors among university students in northern Iraq. The integrative model of factors influencing smoking behavior (IMFISB) was used as a theoretical framework. Methods: This quasi-experimental research study was conducted on 150 Kurdish students of Raparin University in northern Iraq. University students were randomly divided into intervention (n = 75) or control (n = 75) groups. The mhealth theory-based intervention program was evaluated using the mobile application (Avoid Smoking) in eight sessions. The data was collected using a questionnaire before and two months after the program’s implementation and analyzed in SPSS software version 16. Results: The effect size was estimated as "small" for belief, value, and family pressure. The effect size was estimated as “medium" for knowledge, attitude, peer pressure, self-image, and intention. The average response for smoking prevention behaviors was 15.17, which significantly increased to 16.88 after program implementation among the intervention group (P < 0.001), and the effect size was estimated to be "medium" for smoking prevention behaviors. Conclusions: Based on the results, smoking prevention interventions can be effective among students using mobile health evidence-based interventions.
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