探索性验证基于计划行为理论的调查工具,以评估对吸烟的态度和看法

Muna Barakat, Roa’a Abuarab, Baraah Alkharabsheh, Nada Budair, Mais Fareed, Rahma Kharabsheh, Dana Oshroq Laban, Malik Sallam
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摘要

吸烟(使用电子烟)在年轻人尤其是大学生中的流行率激增,这凸显了探索影响这一行为的因素的必要性。本研究以计划行为理论(TPB)为基础,旨在开发并验证吸烟态度和认知量表(VAPeS)。研究采用横断面设计,使用自填式电子问卷收集约旦大学生的数据。调查问卷评估了人口统计学变量和 VAPeS 的关键结构:社会影响、感知危害、从吸烟中获得的快感、行为影响以及经济因素和自我效能。调查共涉及 671 名大学生,其中 201 人(30.0%)报告使用过烟草制品。在这些烟草使用者中,大多数(n=126,62.7%)表示目前使用电子烟。利用主成分分析法(PCA)进行的探索性因子分析(EFA)显示,五因子解解释了64.5%的方差。这些因子--社会影响、感知危害、吸烟乐趣、行为影响以及经济和自我效能--显示出较高的内部一致性。回归分析表明,社会影响、行为影响和性别对吸烟行为有显著的预测作用,标准化系数分别为0.494、0.206和-0.154(P<.001、P=.008和P=.018)。VAPeS 显示出令人满意的心理测量特性,使其成为调查青少年吸烟行为的重要工具。社会影响和行为影响等因素是影响参与者吸烟行为的重要因素。这些见解强调了在公共卫生活动中考虑这些因素的必要性,这些公共卫生活动旨在管理大学生中不断上升的吸烟率。VAPeS 工具可用于更好地界定年轻群体中的吸烟行为。随后,通过基于 VAPeS 的研究获得的洞察力可以帮助设计有针对性的教育活动,旨在解决吸食电子烟的社会可接受性和假定安全性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploratory Validation of a Survey Instrument Based on the Theory of Planned Behavior to Assess Vaping Attitude and Perceptions
The prevalence of vaping (e-cigarette use) surged among young individuals, especially university students, highlighting the necessity to explore the factors influencing this behavior. This study aimed to develop and validate the Vaping Attitude and Perceptions Scale (VAPeS), based on the Theory of Planned Behavior (TPB). A cross-sectional design was employed using a self-administered electronic questionnaire to collect data from university students in Jordan. The questionnaire assessed demographic variables and key constructs of the VAPeS: Social Influence, Perceived Harms, Pleasure Derived from Vaping, Behavioral Influences, and Economic Factors and Self-Efficacy. The survey engaged 671 university students, with 201 (30.0%) reporting the use of tobacco products. Among these tobacco users, a majority (n=126, 62.7%) reported the current use of e-cigarettes. The exploratory factor analysis (EFA) using Principal Component Analysis (PCA) revealed a five-factor solution explaining 64.5% of the variance. These factors—Social Influence, Perceived Harms, Vaping Pleasure, Behavioral Influences, and Economic and Self-Efficacy—demonstrated high internal consistency. Regression analysis showed that Social Influence, Behavioral Influences, and sex were significant predictors of vaping behavior, with standardized coefficients of 0.494, 0.206, and −0.154, respectively (P<.001, P=.008, and P=.018). The VAPeS displayed satisfactory psychometric properties, making it a valuable tool for investigating vaping behaviors among the youth. Factors such as Social Influence and Behavioral Influences were significant factors in shaping vaping behaviors among the participants. These insights emphasize the need to consider these dimensions in public health initiatives aimed at managing the rising vaping prevalence among university students. The VAPeS instrument can be utilized for better delineation of vaping behaviors among the younger demographic. Subsequently, the insights gained through VAPeS-based research can help devise targeted educational campaigns aimed at addressing the perceived social acceptability and the supposed safety of vaping.
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