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

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 res...

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Autores principales: Harper, Sherilee L., Cunsolo, Ashlee, Aylward, Breanne, Clayton, Susan, Minor, Kelton, Cooper, Madison, Vriezen, Rachael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566728/
https://www.ncbi.nlm.nih.gov/pubmed/37819884
http://dx.doi.org/10.1371/journal.pone.0291303
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author Harper, Sherilee L.
Cunsolo, Ashlee
Aylward, Breanne
Clayton, Susan
Minor, Kelton
Cooper, Madison
Vriezen, Rachael
author_facet Harper, Sherilee L.
Cunsolo, Ashlee
Aylward, Breanne
Clayton, Susan
Minor, Kelton
Cooper, Madison
Vriezen, Rachael
author_sort Harper, Sherilee L.
collection PubMed
description 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.
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spelling pubmed-105667282023-10-12 Estimating climate change and mental health impacts in Canada: A cross-sectional survey protocol Harper, Sherilee L. Cunsolo, Ashlee Aylward, Breanne Clayton, Susan Minor, Kelton Cooper, Madison Vriezen, Rachael PLoS One Study Protocol 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. Public Library of Science 2023-10-11 /pmc/articles/PMC10566728/ /pubmed/37819884 http://dx.doi.org/10.1371/journal.pone.0291303 Text en © 2023 Harper et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Study Protocol
Harper, Sherilee L.
Cunsolo, Ashlee
Aylward, Breanne
Clayton, Susan
Minor, Kelton
Cooper, Madison
Vriezen, Rachael
Estimating climate change and mental health impacts in Canada: A cross-sectional survey protocol
title Estimating climate change and mental health impacts in Canada: A cross-sectional survey protocol
title_full Estimating climate change and mental health impacts in Canada: A cross-sectional survey protocol
title_fullStr Estimating climate change and mental health impacts in Canada: A cross-sectional survey protocol
title_full_unstemmed Estimating climate change and mental health impacts in Canada: A cross-sectional survey protocol
title_short Estimating climate change and mental health impacts in Canada: A cross-sectional survey protocol
title_sort estimating climate change and mental health impacts in canada: a cross-sectional survey protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566728/
https://www.ncbi.nlm.nih.gov/pubmed/37819884
http://dx.doi.org/10.1371/journal.pone.0291303
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