TY - JOUR
T1 - Climate change and mental health research methods, gaps, and priorities
T2 - a scoping review
AU - Hwong, Alison R.
AU - Wang, Margaret
AU - Khan, Hammad
AU - Chagwedera, D. Nyasha
AU - Grzenda, Adrienne
AU - Doty, Benjamin
AU - Benton, Tami
AU - Alpert, Jonathan
AU - Clarke, Diana
AU - Compton, Wilson M.
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
PY - 2022/3
Y1 - 2022/3
N2 - Research on climate change and mental health is a new but rapidly growing field. To summarise key advances and gaps in the current state of climate change and mental health studies, we conducted a scoping review that comprehensively examined research methodologies using large-scale datasets. We identified 56 eligible articles published in Embase, PubMed, PsycInfo, and Web of Science between Jan 1, 2000, and Aug 9, 2020. The primary data collection method used was surveys, which focused on self-reported mental health effects due to acute and subacute climate events. Other approaches used administrative health records to study the effect of environmental temperature on hospital admissions for mental health conditions, and national vital statistics to assess the relationship between environmental temperature and suicide rates with regression analyses. Our work highlights the need to link population-based mental health outcome databases to weather data for causal inference. Collaborations between mental health providers and data scientists can guide the formation of clinically relevant research questions on climate change.
AB - Research on climate change and mental health is a new but rapidly growing field. To summarise key advances and gaps in the current state of climate change and mental health studies, we conducted a scoping review that comprehensively examined research methodologies using large-scale datasets. We identified 56 eligible articles published in Embase, PubMed, PsycInfo, and Web of Science between Jan 1, 2000, and Aug 9, 2020. The primary data collection method used was surveys, which focused on self-reported mental health effects due to acute and subacute climate events. Other approaches used administrative health records to study the effect of environmental temperature on hospital admissions for mental health conditions, and national vital statistics to assess the relationship between environmental temperature and suicide rates with regression analyses. Our work highlights the need to link population-based mental health outcome databases to weather data for causal inference. Collaborations between mental health providers and data scientists can guide the formation of clinically relevant research questions on climate change.
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U2 - 10.1016/S2542-5196(22)00012-2
DO - 10.1016/S2542-5196(22)00012-2
M3 - Review article
C2 - 35278392
AN - SCOPUS:85125839881
SN - 2542-5196
VL - 6
SP - e281-e291
JO - The Lancet Planetary Health
JF - The Lancet Planetary Health
IS - 3
ER -