TY - JOUR
T1 - Symptoms of depression and anxiety, and unmet healthcare needs in adults during the COVID-19 pandemic
T2 - a cross-sectional study from the Canadian Longitudinal Study on Aging
AU - the Canadian Longitudinal Study on Aging (CLSA) Team
AU - Khattar, Jayati
AU - Griffith, Lauren E.
AU - Jones, Aaron
AU - De Rubeis, Vanessa
AU - de Groh, Margaret
AU - Jiang, Ying
AU - Basta, Nicole E.
AU - Kirkland, Susan
AU - Wolfson, Christina
AU - Raina, Parminder
AU - Anderson, Laura N.
AU - Costa, Andrew
AU - Balion, Cynthia
AU - Asada, Yukiko
AU - Cossette, Benoȋt
AU - Levasseur, Melanie
AU - Hofer, Scott
AU - Paterson, Theone
AU - Hogan, David
AU - McMillan, Jacqueline
AU - Liu-Ambrose, Teresa
AU - Menec, Verena
AU - St. John, Philip
AU - Mugford, Gerald
AU - Gao, Zhiwei
AU - Taler, Vanessa
AU - Davidson, Patrick
AU - Wister, Andrew
AU - Cosco, Theodore
N1 - Funding Information:
This research was made possible using the data/biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation, as well as the following provinces, Newfoundland, Nova Scotia, Quebec, Ontario, Manitoba, Alberta, and British Columbia. This research has been conducted using the CLSA Baseline Tracking Dataset version 3.7, Baseline Comprehensive Dataset version 5.2, Follow-up 1 Tracking Dataset version 2.2, Follow-up 1 Comprehensive Dataset version 3.0, GEN3, Epigeneticsv1.1, COVID 19 questionnaire data, under Application Number 21CON001. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. Canadian Longitudinal Study on Aging (CLSA): Dr. Andrew Costa1and Dr. Cynthia Balion1; Dr. Yukiko Asada5; Dr. Benoȋt Cossette6and Dr. Melanie Levasseur6; Dr. Scott Hofer7and Dr. Theone Paterson7; Dr. David Hogan8and Dr. Jacqueline McMillan8; Dr. Teresa Liu-Ambrose9; Dr. Verena Menec10and Dr. Philip St. John10; Dr. Gerald Mugford11and Dr. Zhiwei Gao11; Dr. Vanessa Taler12and Dr. Patrick Davidson12; Dr. Andrew Wister13and Dr. Theodore Cosco131. Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4L8, Canada 2. Applied Research Division, Center for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON K0A 0K9 3. Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, Canada. 4. Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health & Department of Medicine, McGill University, Montreal Canada & Research Institute of the McGill University Health Centre, McGill University, Montreal, Canada 5. Department of Community Health & Epidemiology and Division of Geriatric Medicine, Dalhousie University, Halifax, Canada. 6. Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Canada. 7. Department of Psychology, University of Victoria, Victoria, Canada. 8. Faculty of Medicine, University of Calgary, Calgary, Canada. 9. Faculty of Medicine, University of British Columbia, Vancouver, Canada. 10. Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada. 11. Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada. 12. School of Psychology, University of Ottawa, Ottawa, Canada. 13. Department of Gerontology, Simon Fraser University, Vancouver, Canada. The opinions expressed in this manuscript are the author’s own and do not reflect the views of the Canadian Longitudinal Study on Aging.
Funding Information:
This research was made possible using the data/biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation, as well as the following provinces, Newfoundland, Nova Scotia, Quebec, Ontario, Manitoba, Alberta, and British Columbia. This research has been conducted using the CLSA Baseline Tracking Dataset version 3.7, Baseline Comprehensive Dataset version 5.2, Follow-up 1 Tracking Dataset version 2.2, Follow-up 1 Comprehensive Dataset version 3.0, GEN3, Epigeneticsv1.1, COVID 19 questionnaire data, under Application Number 21CON001. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland.
Funding Information:
Funding for this study was obtained from the Public Health Agency of Canada (PHAC). Funding for the support of the CLSA COVID-19 Questionnaire based study is provided by Juravinski Research Institute, Faculty of Health Sciences, McMaster University, Provost Fund from McMaster University, McMaster Institute for Research on Aging, Public Health Agency of Canada and the Nova Scotia COVID-19 Health Research Coalition. Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. Parminder Raina holds the Raymond and Margaret Labarge Chair in Optimal Aging and Knowledge Application for Optimal Aging, is the Director of the McMaster Institute for Research on Aging and the Labarge Centre for Mobility in Aging and holds a Tier 1 Canada Research Chair in Geroscience. Lauren Griffith is supported by the McLaughlin Foundation Professorship in Population and Public Health.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - Background: The COVID-19 pandemic disrupted access to healthcare services in Canada. Research prior to the pandemic has found that depression and anxiety symptoms were associated with increased unmet healthcare needs. The primary objective of this study was to examine if mental health was associated with perceived access to healthcare during the pandemic Methods: A cross-sectional study was conducted using data from 23,972 participants (aged 50-96) in the Canadian Longitudinal Study on Aging COVID-19 Exit Survey (Sept-Dec 2020). We used logistic regression to estimate how the presence of depression and anxiety symptoms, defined using scores of ≥10 on the Center for Epidemiologic Studies Depression Scale and ≥10 on the Generalized Anxiety Disorder Scale, were associated with the odds of reporting: 1) challenges accessing healthcare, 2) not going to a hospital or seeing a doctor when needed, 3) experiencing barriers to COVID-19 testing. Models were adjusted for sex, age, region, urban/rural residence, racial background, immigrant status, income, marital status, work status, chronic conditions, and pre-pandemic unmet needs. Results: The presence of depressive (aOR=1.96; 95% CI=1.82, 2.11) and anxiety symptoms (aOR=2.33; 95% CI=2.04, 2.66) compared to the absence of these symptoms were independently associated with higher odds of challenges accessing healthcare. A statistically significant interaction with sex suggested stronger associations in females with anxiety. Symptoms of depression (aOR=2.88; 95% CI=2.58, 3.21) and anxiety (aOR=3.05; 95% CI=2.58, 3.60) were also associated with increased odds of not going to a hospital or seeing a doctor when needed. Lastly, depressive (aOR=1.99; 95% CI=1.71, 2.31) and anxiety symptoms (aOR=2.01; 95% CI=1.58, 2.56) were associated with higher odds of reporting barriers to COVID-19 testing. There was no significantly significant interaction with sex for the latter two outcomes. Conclusion: The presence of depression and anxiety symptoms were strongly associated with perceived unmet healthcare needs during the COVID-19 pandemic. Interventions to improve healthcare access for adults with depression and anxiety during the pandemic may be necessary.
AB - Background: The COVID-19 pandemic disrupted access to healthcare services in Canada. Research prior to the pandemic has found that depression and anxiety symptoms were associated with increased unmet healthcare needs. The primary objective of this study was to examine if mental health was associated with perceived access to healthcare during the pandemic Methods: A cross-sectional study was conducted using data from 23,972 participants (aged 50-96) in the Canadian Longitudinal Study on Aging COVID-19 Exit Survey (Sept-Dec 2020). We used logistic regression to estimate how the presence of depression and anxiety symptoms, defined using scores of ≥10 on the Center for Epidemiologic Studies Depression Scale and ≥10 on the Generalized Anxiety Disorder Scale, were associated with the odds of reporting: 1) challenges accessing healthcare, 2) not going to a hospital or seeing a doctor when needed, 3) experiencing barriers to COVID-19 testing. Models were adjusted for sex, age, region, urban/rural residence, racial background, immigrant status, income, marital status, work status, chronic conditions, and pre-pandemic unmet needs. Results: The presence of depressive (aOR=1.96; 95% CI=1.82, 2.11) and anxiety symptoms (aOR=2.33; 95% CI=2.04, 2.66) compared to the absence of these symptoms were independently associated with higher odds of challenges accessing healthcare. A statistically significant interaction with sex suggested stronger associations in females with anxiety. Symptoms of depression (aOR=2.88; 95% CI=2.58, 3.21) and anxiety (aOR=3.05; 95% CI=2.58, 3.60) were also associated with increased odds of not going to a hospital or seeing a doctor when needed. Lastly, depressive (aOR=1.99; 95% CI=1.71, 2.31) and anxiety symptoms (aOR=2.01; 95% CI=1.58, 2.56) were associated with higher odds of reporting barriers to COVID-19 testing. There was no significantly significant interaction with sex for the latter two outcomes. Conclusion: The presence of depression and anxiety symptoms were strongly associated with perceived unmet healthcare needs during the COVID-19 pandemic. Interventions to improve healthcare access for adults with depression and anxiety during the pandemic may be necessary.
KW - Anxiety
KW - CLSA
KW - Depression
KW - Unmet healthcare needs
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U2 - 10.1186/s12889-022-14633-4
DO - 10.1186/s12889-022-14633-4
M3 - Article
C2 - 36456993
AN - SCOPUS:85143183616
SN - 1471-2458
VL - 22
JO - BMC public health
JF - BMC public health
IS - 1
M1 - 2242
ER -