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Association between Pet Ownership and Mental Health and Well-Being of Canadians Assessed in a Cross-Sectional Study during the COVID-19 Pandemic
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2215 (2022)
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Abstract:
The objective of this cross-sectional study was to assess the association between pet ownership and quality of life (QoL), loneliness, anxiety, stress, overall health, and mental health of Canadians during the COVID-19 pandemic using a One Health perspective. An online bilingual survey was completed by 1500 Canadians in April–May 2021. Socio-demographics, health, QoL, stress and anxiety, loneliness, social support, pet ownership, and attitude towards pets data were collected. Crude and adjusted associations between pet ownership and mental health and well-being indicators were estimated. The 1500 participants were from all provinces and territories, half were women; half of the participants were pet owners by design. The crude association estimates showed that pet owners had poorer QoL, overall health, and mental health than non-pet owners, and were lonelier, more stressed, and more anxious than non-pet owners. Adjusted estimates showed that these associations disappeared with the inclusion of the confounders (socio-economic, demographic, health, and pet-related variables). Our results suggest that there was no association between pet ownership and the mental health and well-being indicators measured in the present study.
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Keyword:
companion animal; generalized anxiety disorder; One Health; quality of life; stress
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URL: https://doi.org/10.3390/ijerph19042215
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Diversity Attitude Associations in Pre-service Physical Education Teachers
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In: Health and Kinesiology Faculty Publications (2019)
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Information Literacy Across Disciplines: Applying Problem-Based Learning Principles and the ACRL Framework
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In: Georgia International Conference on Information Literacy (2016)
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Graduate Committee Minutes
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In: Graduate Committee Minutes (2011)
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How Many Mechanisms Are Needed to Analyze Speech? A Connectionist Simulation of Structural Rule Learning in Artificial Language Acquisition
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The SAPUVETNET Projects: experiences of intersectoral collaboration and research/training in Veterinary Public Health across Latin America and Europe
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D. De Meneghi, E.Bert, PC. Porporato, D.Pattono, N.Cediel, M. Vilhena, L. Padre, S. Arroube, P. Baltasar, A.Custodio; L.C. Villamil, J.Romero, C.Mutis; I.Sommerfelt, C.Lopez. - 2011
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