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COVID-19 post-vaccination depression in older Israeli adults: the role of negative world assumptions

Published online by Cambridge University Press:  31 January 2022

Lee Greenblatt-Kimron*
Affiliation:
School of Social Work, Ariel University, Ariel 40700, Israel
Yaakov Hoffman
Affiliation:
Interdisciplinary Department, Bar-Ilan University, Ramat-Gan, Israel
Menachem Ben-Ezra
Affiliation:
School of Social Work, Ariel University, Ariel 40700, Israel
Robin Goodwin
Affiliation:
Department of Psychology, Warwick University, Coventry, UK
Yuval Palgi
Affiliation:
Department of Gerontology, University of Haifa, Haifa, Israel
*
Author for correspondence: Lee Greenblatt-Kimron, E-mail: leegr@ariel.ac.il
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Abstract

Background

With the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, the aging population has been shown to be highly vulnerable. As a result, policy makers and the media urged older adults to restrict social interactions, placing them at greater risk of mental health problems, such as depression. However, there has been a little previous attempt to examine coronavirus disease-2019 (COVID-19) vaccine-related risk factors and depressive symptoms amongst older adults.

Methods

Participants (938 older adults, Mage = 68.99, s.d. = 3.41, range 65–85) answered an online questionnaire at the start of the COVID-19 vaccination program in Israel. Participants completed measures of background characteristics, world assumptions, COVID-19 vaccine-related variables, and symptoms of depression.

Results

Univariate logistic regression revealed that more negative world assumptions were linked with clinical depression levels.

Conclusions

Older adults in our sample were susceptible to unique factors associated with clinical depression influenced by their world assumptions during their COVID-19 vaccination. The high level of depression following vaccination indicates that it may take time to recover from depression associated with pandemic distress. Cognitive interventions that focus on world assumptions are recommended.

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
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Table 1. Logistic regression analyses predicting the likelihood of clinical depression