JOURNAL ARTICLE
The long-term impacts of the Canterbury earthquakes on the mental health of the Christchurch Health and Development Study cohort.
Published In: Australian & New Zealand Journal of Psychiatry, 2023, v. 57, n. 7. P. 966 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Beaglehole, Ben; Boden, Joseph M; Bell, Caroline; Mulder, Roger T; Dhakal, Bhubaneswor; Horwood, L John 3 of 3
Abstract
This article examines the long-term mental health impacts of the Canterbury earthquakes on participants of the Christchurch Health and Development Study (CHDS), a 40-year longitudinal birth cohort study from New Zealand. Seven years after the earthquakes began in 2010, increased exposure was associated with higher rates of anxiety disorder symptoms and cumulative increases in symptoms of post-traumatic stress disorder (PTSD), anxiety disorder, nicotine dependence, and total psychiatric disorders, although the overall attributable fraction of mental disorders linked to the earthquakes was small (approximately 6% over seven years). After adjusting for confounding factors such as prior mental health history and socio-demographic variables, the magnitude of these associations diminished, suggesting that pre-existing vulnerabilities and social factors also contributed to mental health outcomes. The findings indicate a temporal gradient with stronger adverse effects closer to the disaster and highlight the importance of considering long-term psychological consequences of natural disasters within their broader social context.
Additional Information
- Source:Australian & New Zealand Journal of Psychiatry. 2023/07, Vol. 57, Issue 7, p966
- Document Type:Article
- Subject Area:Religion and Philosophy
- Publication Date:2023
- ISSN:0004-8674
- DOI:10.1177/00048674221138499
- Accession Number:164485012
- Copyright Statement:Copyright of Australian & New Zealand Journal of Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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