探索缺少数据对母乳烟草计划结果的影响:对戒烟的自我有效性分析
Mengting Zhao1, Benjamin Langworthy2
1Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, MN, USA.
BMC public health
|October 8, 2025
概括
更高的戒烟自信与较低的一氧化碳水平相关,表明吸烟减少. 这一发现对于有效的戒烟计划和参与者保留至关重要.
科学领域:
- 公共卫生 公共卫生
- 行为科学 行为科学
- 呼吸系统医学 呼吸系统医学
背景情况:
- 在全球范围内,烟草使用是可预防的发病率和死亡率的主要原因.
- 有效的戒烟干预措施对于减轻吸烟相关的健康风险至关重要.
- 孕妇在怀孕期间吸烟对母亲和孩子都有很大的风险.
研究的目的:
- 检查自我报告的信心得分与一氧化碳 (CO) 水平与时间的相关性.
- 评估最初对戒烟的信心对计划坚持的预测价值.
- 在北达科他州的一个母亲戒烟计划中分析这些关系.
主要方法:
- 利用线性混合效应模型分析了226名参与者的数据.
- 使用完整的案例分析和多重归算 (MAR和MNAR) 来处理缺失的数据.
- 调查了由于潜在的参与者消耗而缺失的非随机 (MNAR) 假设的影响.
主要成果:
- 较高的基线信心评分与较低的二氧化碳水平有关,这表明吸烟较少.
- 自信与二氧化碳水平之间的这种关联随着时间的推移而减少.
- 在各种缺失数据处理方法 (MAR和MNAR) 中,研究结果保持稳健.
结论:
- 在初次访问时评估自我效能或信心对于戒烟计划至关重要.
- 较低的信心分数可能预测参与者学的风险更高.
- 干预措施应考虑解决和加强参与者对改善结果的信心.
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