基于智能手机的调查和成年人最初不准备戒烟的信息合规性:随机对照试验的二次分析
Clayton Ulm1,2, Sixia Chen3, Brianna Fleshman2
1Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
JMIR formative research
|June 7, 2024
概括
这项研究发现,虽然智能手机干预戒烟是可行的,但参与度在26周内下降. 年龄,性别和社会经济因素预测参与移动卫生干预措施的减少.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 公共卫生 公共卫生
背景情况:
- 智能手机干预的有效性取决于内容质量和用户参与度.
- 长期移动健康研究中调查完成率下降,需要确定预测因素.
研究的目的:
- 在26周的戒烟试验中,确定调查完成和消息参与的预测因素.
- 了解影响移动卫生干预持续参与的因素.
主要方法:
- 一个试点随机对照试验,涉及152名成年吸烟者超过182天.
- 用线性回归和混合效应模型分析每周完成调查和每天查看消息的情况.
- 调查预测因素,包括干预组,年龄,性别,种族和就业状况.
主要成果:
- 总体而言,调查完成率平均为71.8%,消息查看率为60.6%.
- 年龄较大与更高的完成率和观看率正相关.
- 在干预期间,调查完成率 (77%至56%) 和消息查看率 (72.3%至44.6%) 均显著下降,受人口和社会经济因素的影响.
结论:
- 基于智能手机的26周戒烟干预是可行的.
- 具体的子组显示,参与度的下降加快,突出显示需要战略,以保持长期的互动在移动健康.
- 未来的研究应该侧重于持续参与长期移动健康干预.
相关概念视频
02:20Longitudinal Research
11.9K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
11.9K
01:25Statistical Methods for Analyzing Epidemiological Data
353
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
353