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Neighborhood Association, Peer Communication, and Self-Assistance Behaviors Against Disaster Among Individuals With Spinal Cord Injury

Published online by Cambridge University Press:  26 August 2022

Kyo Takahashi*
Affiliation:
Institute of Gerontology, The University of TokyoDepartment of Public Health, School of Medicine, Dokkyo Medical University
*
Corresponding author: Kyo Takahashi, Email: tkyo-tky@umin.ac.jp.
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Abstract

Objective:

Individuals with spinal cord injuries (SCIs) are vulnerable in case of disaster, and it is unknown how they can prepare themselves for such events. This study explored factors associated with self-assistance behaviors against disasters.

Methods:

An internet-based cross-sectional survey was conducted in Japan. The participants were 70 individuals with SCI in a self-help group in Japan. Self-assistance behaviors against disaster were defined in terms of personal network, escape, information, essential items, disaster drill participation, and list registration. After identifying significant variables through binary analyses, logistic regression analysis was conducted to adjust for age and sex.

Results:

Neighborhood association and peer communication significantly predicted list registration (AOR:2.97; 95% CI:1.05 – 8.40; P = 0.04; AOR:2.79, 95% CI:1.00–7.74, P = 0.05). However, no significant factor was found in relation to other self-assistance behaviors against disasters.

Conclusion:

Belonging to a neighborhood association and having communication with peers could help individuals with SCI register on a list for assistance during disaster. To promote self-assistance behaviors against disasters, access to neighborhood associations, and opportunities for peer communication should be increased.

Information

Type
Brief Report
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.
Figure 0

Table 1.Binary analyses between the participants’ characteristics and 6 self-assistance behaviors against disaster

Figure 1

Table 2.Logistic regression analysis predicting the list registration