Integrating Self-Report and Psychophysiological Measures in Waterpipe Tobacco Message Testing: A Novel Application of Multi-Attribute Decision Modeling.

ABSTRACT:

Background

Waterpipe (i.e., hookah) tobacco smoking (WTS) is one of the most prevalent types of smoking among young people, yet there is little public education communicating the risks of WTS to the population. Using self-report and psychophysiological measures, this study proposes an innovative message testing and data integration approach to choose optimal content for health communication messaging focusing on WTS.

Methods

In a two-part study, we tested 12 WTS risk messages. Using crowdsourcing, participants (N = 713) rated WTS messages based on self-reported receptivity, engagement, attitudes, and negative emotions. In an in-lab study, participants (N = 120) viewed the 12 WTS risk messages while being monitored for heart rate and eye-tracking, and then compl

SUBMITTER: Stevens EM 

PROVIDER: S-EPMC8617707 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature