Shared identity predicts enhanced health at a mass gathering - Text.docx
(108 Kb)
Document
Shared identity predicts enhanced health at a mass gathering
Abstract
Identifying with a group can impact (positively) upon group members’ health. This can be explained (in part) through the social relations that a shared identity allows. We investigated the relationship between a shared identity and health in a longitudinal study of a month-long pilgrimage in north India. Questionnaire data (N = 416) showed that self-reported health (measured before, during, and after the event) was better at the event than before, and although it reduced on returning home, it remained higher than before the event. This trajectory was predicted by data concerning pilgrims’ perceptions of a shared identity with other pilgrims at the event. We also found evidence that a shared identity amongst pilgrims had an indirect effect on changes in self-assessed health via the belief one had closer relations with one’s fellow pilgrims. We discuss the implications of these data for our understandings of the role of shared identity in social relations and health.
Citation
(2014). Shared identity predicts enhanced health at a mass gathering. Group Processes and Intergroup Relations, 504-522. https://doi.org/10.1177/1368430214556703
Acceptance Date | Sep 11, 2014 |
---|---|
Publication Date | Dec 17, 2014 |
Journal | Group Processes & Intergroup Relations |
Print ISSN | 1368-4302 |
Electronic ISSN | 1461-7188 |
Publisher | SAGE Publications |
Pages | 504-522 |
DOI | https://doi.org/10.1177/1368430214556703 |
Keywords | mass gatherings, self-assessed health, shared identity, social relationships, |
Public URL | https://keele-repository.worktribe.com/output/403666 |
Publisher URL | http://gpi.sagepub.com/content/18/4/504 |
Files
Shared identity predicts enhanced health at a mass gathering - Tables 1-6 Final.docx
(61 Kb)
Document
Shared identity predicts enhanced health at a mass gathering - Figures 1 & 2.docx
(47 Kb)
Document
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search