
@article{ref1,
title="A cross-sectional study using health behavior theory to predict rapid compliance with campus emergency notifications among college students",
journal="Disaster medicine and public health preparedness",
year="2020",
author="Rogers, Christopher J. and Forster, Myriam and Bahr, Kaitlin and Benjamin, Stephanie M.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="OBJECTIVE: Compliance with college emergency notifications can minimize injury; however, time is often wasted in alert verification. Building on prior research, this study assesses using health-behavior theory to predict rapid compliance to emergency notifications across a range of scenarios and within a diverse college population. <br><br>METHODS: Cross-sectional, student data were collected in 2017-2018 (n = 1529). The Theory of Planned Behavior and Protection Motivation Theory were used to explain intention to comply with emergency notifications in scenarios: robbery, shooter, fire, chemical spill, protest, health emergency, and air quality. Regression models assessed associations between constructs and intention to rapidly comply with each notification. <br><br>RESULTS: The most consistent predictors of rapid compliance were attitudes and subjective norms (adjusted odds ratio [AOR]: 1.057-1.118; 95% CI: 1.009-1.168). Scenarios prone to rapid developments such as robbery, shooter, and fire were associated with increased perceived threat and response efficacy (AOR: 1.024-1.082; 95% CI: 1.003-1.132) Slower developing situations such as air quality and health hazards were associated with increased perceived control (AOR: 1.027-1.073; 95% CI: 1.031-1.117). <br><br>CONCLUSIONS: This study identified attitude and subjective norms as consistent predictors of rapid compliance and improves understanding of additional constructs across scenarios. Campuses may benefit from leveraging concepts from health-behavior theory to provide targeted intervention focusing on factors associated with rapid compliance.<p /> <p>Language: en</p>",
language="en",
issn="1935-7893",
doi="10.1017/dmp.2019.153",
url="http://dx.doi.org/10.1017/dmp.2019.153"
}