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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ftpubmed:oai:pubmedcentral.nih.gov:10566728 2023-11-12T04:19:47+01:00 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 2023-10-11 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566728/ http://www.ncbi.nlm.nih.gov/pubmed/37819884 https://doi.org/10.1371/journal.pone.0291303 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566728/ http://www.ncbi.nlm.nih.gov/pubmed/37819884 http://dx.doi.org/10.1371/journal.pone.0291303 © 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. PLoS One Study Protocol Text 2023 ftpubmed https://doi.org/10.1371/journal.pone.0291303 2023-10-15T01:06:23Z 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. Text inuktitut PubMed Central (PMC) Canada PLOS ONE 18 10 e0291303 |
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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 |
topic_facet |
Study Protocol |
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. |
format |
Text |
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. |
title |
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_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_sort |
estimating climate change and mental health impacts in canada: a cross-sectional survey protocol |
publisher |
Public Library of Science |
publishDate |
2023 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566728/ http://www.ncbi.nlm.nih.gov/pubmed/37819884 https://doi.org/10.1371/journal.pone.0291303 |
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Canada |
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Canada |
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inuktitut |
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inuktitut |
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PLoS One |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566728/ http://www.ncbi.nlm.nih.gov/pubmed/37819884 http://dx.doi.org/10.1371/journal.pone.0291303 |
op_rights |
© 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. |
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https://doi.org/10.1371/journal.pone.0291303 |
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PLOS ONE |
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18 |
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10 |
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e0291303 |
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