在年轻学生中对电子烟知识,态度和实践问卷的心理测量评估:结构方程建模方法
Yating Wen1, Jie Chen1, Heng Bai1,2
1School of Public Health, Kunming Medical University & Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming, Yunnan, China.
Frontiers in public health
|March 2, 2026
概括
一个新的15项问卷有效地评估年轻学生的电子烟知识,态度和实践. 这种经过验证的工具有助于公共卫生研究青少年的电子烟行为.
科学领域:
- 公共卫生 公共卫生
- 青少年健康 青少年健康
- 行为科学 行为科学
背景情况:
- 电子烟在年轻人中的普及是一个重大的公共卫生问题.
- 现有有限的标准化工具可以评估年轻人对电子烟的知识,态度和行为.
- 关于电子烟风险的误解在年轻人群中很普遍.
研究的目的:
- 开发和验证一个调查问卷,评估年轻学生的电子烟知识,态度和实践 (KAP).
- 使用结构方程建模 (SEM) 框架进行问卷验证.
- 为青年使用电子烟的公共卫生研究提供可靠的工具.
主要方法:
- 开发了使用经典测试理论和探索性因子分析的初始KAP问卷.
- 招募了来自中国和印度尼西亚的1400名本科生,有1333个有效答案.
- 使用Cronbach的alpha和模型通过SEM框架内的确认因素分析来评估可靠性.
主要成果:
- 最后的15项问卷 (4项知识,8项态度,3项实践) 显示出强烈的心理测量特性.
- 该SEM模型显示出出色的合适指数,证实了三因素结构 (知识,态度,实践).
- 可靠性是可以接受的,Cronbach的总体alpha为0.643,子尺度alpha从0.775到0.847.
结论:
- 开发的问卷是一个可靠和有效的工具,用于评估年轻学生的电子烟KAP.
- 该工具为公共卫生研究和干预提供了一种实际的,基于证据的方法.
- 研究结果支持有针对性的教育策略的需要,以解决青年电子烟误解.
更多相关视频
08:39Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies
Published on: August 25, 2018
26.6K
10:44Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
Published on: May 24, 2017
12.2K
相关概念视频
Stimulants
1.1K
Stimulants are substances that enhance neural activity and elevate dopamine levels in the brain, leading to their highly addictive nature. These drugs include cocaine, amphetamines, MDMA, caffeine, and nicotine, each with distinct mechanisms of action and varied health implications.
Cocaine can be administered via snorting, injection, or smoking. It primarily functions by blocking the reuptake of dopamine, resulting in a euphoric high characterized by an intense sensation of happiness and...
Cocaine can be administered via snorting, injection, or smoking. It primarily functions by blocking the reuptake of dopamine, resulting in a euphoric high characterized by an intense sensation of happiness and...
1.1K
Statistical Methods for Analyzing Epidemiological Data
1.1K
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:
1.1K
