Estimating climate change and mental health impacts in Canada: A cross-sectional survey protocol.

Autor: Harper SL; School of Public Health, University of Alberta, Edmonton, Canada., Cunsolo A; School of Arctic & Subarctic Studies, Labrador Campus of Memorial University, Happy Valley-Goose Bay, Canada., Aylward B; School of Public Health, University of Alberta, Edmonton, Canada., Clayton S; College of Wooster, Wooster, Ohio, United States of America., Minor K; Data Science Institute, Columbia University, New York, New York, United States of America., Cooper M; School of Public Health, University of Alberta, Edmonton, Canada., Vriezen R; School of Public Health, University of Alberta, Edmonton, Canada.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2023 Oct 11; Vol. 18 (10), pp. e0291303. Date of Electronic Publication: 2023 Oct 11 (Print Publication: 2023).
DOI: 10.1371/journal.pone.0291303
Abstrakt: Climate change has severe and sweeping impacts on mental health. Although research is burgeoning on mental health impacts following climate and weather extremes, less is known about how common these impacts are outside of extreme events. Existing research exploring the prevalence of psychosocial responses to climate change primarily examines university students and uses non-random sampling methods. Herein, our protocol outlines an approach to data collection, processing, and analysis to estimate the population prevalence, magnitude, and distribution of mental health responses to climate change in Canada. A cross-sectional survey of youth and adults aged 13 years and older in Canada will be administered over the course of one year. The questionnaire will take approximately 10 minutes to complete orally and will be administered in English, French, and Inuktitut. The survey will consist of six sections: (1) self-reported past experiences of climate change; (2) self-reported climate-related emotions; (3) self-reported past and current impacts, anticipatory impacts, and vicarious experiences; (4) self-reported subclinical outcomes; (5) self-reported behavioural responses; and (6) demographics. A multi-stage, multi-stratified random probability sampling method will be used to obtain a sample representative of the Canadian population. We will use two different modes of recruitment: an addressed letter sent by postal mail or a telephone call (landlines and cellular). Population-weighted descriptive statistics, principal component analysis, and weighted multivariable regression will be used to analyse the data. The results of this survey will provide the first national prevalence estimates of subclinical mental health responses to climate change outcomes of people living in Canada.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Harper et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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