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Hair cortisol as a risk marker for increased depressive symptoms among older adults during the COVID-19 pandemic
Determining pre-existing biological risk markers of incident depression and other mental health sequelae after exposure to a new stressor would help identify vulnerable individuals and mechanistic pathways. This study investigated primarily whether hair cortisol predicted elevated depressive symptom...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221173/ https://www.ncbi.nlm.nih.gov/pubmed/35779340 http://dx.doi.org/10.1016/j.psyneuen.2022.105847 |
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author | Feeney, J. Kenny, R.A. |
author_facet | Feeney, J. Kenny, R.A. |
author_sort | Feeney, J. |
collection | PubMed |
description | Determining pre-existing biological risk markers of incident depression and other mental health sequelae after exposure to a new stressor would help identify vulnerable individuals and mechanistic pathways. This study investigated primarily whether hair cortisol predicted elevated depressive symptoms in middle-aged and older adults during the COVID-19 pandemic, 6 years later. A secondary aim was to deduce whether any association differed by sex. METHODS: We studied 1025 adults aged 50 and older (75% female) as part of The Irish Longitudinal Study on Ageing. Hair cortisol samples were collected at 2014 (Wave 3) and depressive symptoms were assessed using the 8-item Center for Epidemiological Studies Depression Scale in 2014 (Wave 3), 2016 (Wave 4), 2018 (Wave 5) and again in 2020 as part of TILDA's COVID-19 Study. Hierarchical mixed effects logistic regression models were applied to investigate the association between cortisol levels and clinically significant depressive symptoms before and during the COVID-19 pandemic. RESULTS: In a full covariate adjusted model there was a significant interaction between cortisol and wave on depressive symptoms (χ2 = 8.5, p = .03). Cortisol was positively and significantly associated with elevated depressive symptoms during the COVID-19 Study (OR =1.3, 95% CI 1.11, 1.56, p = .003), and was associated with an increased likelihood of reporting clinically significant depressive symptoms during first year of the COVID-19 pandemic, when compared with before, OR = 1.4, 95% CI 1.05, 1.9, p = .015. There was no evidence of effect modification by sex. CONCLUSIONS: Higher hair cortisol, assessed 6 years previously, predicted clinically significant depressive symptoms among middle-aged and older adults during (but not before) the pandemic. Findings suggest a biological phenotype which denotes increased susceptibility to the negative impact of environmental stress on psychological health. |
format | Online Article Text |
id | pubmed-9221173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92211732022-06-24 Hair cortisol as a risk marker for increased depressive symptoms among older adults during the COVID-19 pandemic Feeney, J. Kenny, R.A. Psychoneuroendocrinology Article Determining pre-existing biological risk markers of incident depression and other mental health sequelae after exposure to a new stressor would help identify vulnerable individuals and mechanistic pathways. This study investigated primarily whether hair cortisol predicted elevated depressive symptoms in middle-aged and older adults during the COVID-19 pandemic, 6 years later. A secondary aim was to deduce whether any association differed by sex. METHODS: We studied 1025 adults aged 50 and older (75% female) as part of The Irish Longitudinal Study on Ageing. Hair cortisol samples were collected at 2014 (Wave 3) and depressive symptoms were assessed using the 8-item Center for Epidemiological Studies Depression Scale in 2014 (Wave 3), 2016 (Wave 4), 2018 (Wave 5) and again in 2020 as part of TILDA's COVID-19 Study. Hierarchical mixed effects logistic regression models were applied to investigate the association between cortisol levels and clinically significant depressive symptoms before and during the COVID-19 pandemic. RESULTS: In a full covariate adjusted model there was a significant interaction between cortisol and wave on depressive symptoms (χ2 = 8.5, p = .03). Cortisol was positively and significantly associated with elevated depressive symptoms during the COVID-19 Study (OR =1.3, 95% CI 1.11, 1.56, p = .003), and was associated with an increased likelihood of reporting clinically significant depressive symptoms during first year of the COVID-19 pandemic, when compared with before, OR = 1.4, 95% CI 1.05, 1.9, p = .015. There was no evidence of effect modification by sex. CONCLUSIONS: Higher hair cortisol, assessed 6 years previously, predicted clinically significant depressive symptoms among middle-aged and older adults during (but not before) the pandemic. Findings suggest a biological phenotype which denotes increased susceptibility to the negative impact of environmental stress on psychological health. The Author(s). Published by Elsevier Ltd. 2022-09 2022-06-22 /pmc/articles/PMC9221173/ /pubmed/35779340 http://dx.doi.org/10.1016/j.psyneuen.2022.105847 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Feeney, J. Kenny, R.A. Hair cortisol as a risk marker for increased depressive symptoms among older adults during the COVID-19 pandemic |
title | Hair cortisol as a risk marker for increased depressive symptoms among older adults during the COVID-19 pandemic |
title_full | Hair cortisol as a risk marker for increased depressive symptoms among older adults during the COVID-19 pandemic |
title_fullStr | Hair cortisol as a risk marker for increased depressive symptoms among older adults during the COVID-19 pandemic |
title_full_unstemmed | Hair cortisol as a risk marker for increased depressive symptoms among older adults during the COVID-19 pandemic |
title_short | Hair cortisol as a risk marker for increased depressive symptoms among older adults during the COVID-19 pandemic |
title_sort | hair cortisol as a risk marker for increased depressive symptoms among older adults during the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221173/ https://www.ncbi.nlm.nih.gov/pubmed/35779340 http://dx.doi.org/10.1016/j.psyneuen.2022.105847 |
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