Climate Change and Mental Health: A Review of Empirical Evidence, Mechanisms and Implications
Abstract
:1. Introduction
Definition of Climate Change
2. Materials and Methods
3. Results
3.1. Current Evidence of Climate Change and Mental Health
3.2. Risk Factors
3.3. Impacts of Acute, Subacute and Chronic Climate Change-Related Events
3.4. Internalizing and Externalizing Mental Health Behaviors
Exposure Category | Study | Sample * N (% Female) Age | Study Location | Study Design and Period | Exposure (s) of Interest | Mental Health Outcome: Measure(s) | Major Findings |
---|---|---|---|---|---|---|---|
Acute | |||||||
Dust storm | Lee et al. (2019) [34] | N = 30,704 (33.8%) | Republic of Korea: Seoul | Ecological 2002–2015 | Dust storms Duration and intensity | Completed suicide |
|
Flood | Mulchandani et al. (2020) [35] | N = 819 | UK: England | Longitudinal 2015–2018 | Flooding Exposure and experience | Depression: PHQ-2 Anxiety; GAD-2 PTSD: PCL-6 |
|
Thomas et al. (2021) [36] | N = 171 (69%) Age: 18–65 y | India: Karnataka | Cross-sectional December 2018-January 2019 | Flooding Exposure and experience | Presence of psychiatric symptoms (depression, anxiety, somatic disorders, sleep problems and substance misuse) |
| |
Fire | Bryant et al. (2014) [37] | N = 1017 (60.3%) Age: ≥18 y at time of fire (M = 53.1 y) | Australia: Victoria | Cross-sectional 2011–2013 | Victorian Black Saturday Bushfires (February 2009–March 2009) Exposure and experience | Depression: PHQ-9 PTSD: PCL Non-specific psychological distress: K6 |
|
Bryant et al. (2018) [38] | N = 735 (61.5%) Age: ≥18 y at time of fire (M = 53.5 y) | Australia: Victoria | Longitudinal 2011–2014 T1: December 2011–January 2013 T2: July 2014-November 2014 (5 y PD) | Victorian Black Saturday Bushfires (February 2009–March 2009) Exposure and experience | Depression: PHQ-9 PTSD: PCL Non-specific psychological distress: K6 |
| |
Hurricane | Bozick (2021) [39] | N = 5694 (57.4%) Age: ≥18 | USA: Texas | Observational w/a probability sample 2017–2018 T1: Pre-Harvey T2: Post-Harvey | Hurricane Harvey (August 2017) Exposure and experience | Number of days in the past 30 days with poor mental health |
|
Garfin (2022) [40] | T1: N = 1637 (54.6%) Age: ≥18 | USA: Florida | Longitudinal 2017–2018 T1: Pre-Irma T2: 1 month PD T3: Post-Michael | Hurricane Irma (September 2017); Hurricane Michael (October 2018 -November 2018) Effects of repeated exposures | Posttraumatic stress symptoms (PTSS) Global distress: BSI-18 |
| |
Lai et al. (2013) [41] | N = 277 (52%) Age: Grades 2–4 (M = 8.7 y) | USA: Texas | Longitudinal May 2009–December 2009 T1: 8 months PD T2: 15 months PD | Hurricane Ike (September 2008) Exposure and experience | Depression: CDI PTSD: PTSD-RI-R |
| |
Orengo-Aguayo et al. (2019) [42] | N = 96,108 (50.3%) Age: Grades 3–12 | Puerto Rico | Cross-sectional February 2018–June 2018 (5–9 months PD) | Hurricane Maria (September 2017) Exposure to hurricane-related stressors | Depression: NCTSN-HART PTSD: NCTSN-HART |
| |
Schwartz et al. (2017) [43] | N = 130 (77.7%) Age: 18–92 y (M = 49.73 y) | USA: New York | Longitudinal T1: 11–28 months PD (M = 14.5 months) T2: 1 y after T1 | Hurricane Sandy (October 2012–November 2012) Personal and/or property exposures | Anxiety: PHQ-4 Depression: PHQ-4 PTSD: PCL-S |
| |
Sullivan et al. (2013) [44] | N = 498 (0%) Male veterans only Age: 18–60 y | USA: Louisiana | Cross-sectional 2007–2008 (2.5 y PD) | Hurricane Katrina (August 2005) Stressful hurricane-related events | Depression: PHQ-2 Anxiety: GAD-7 Panic disorder: PHQ PTSD: SPRINT |
| |
Multiple Exposures | Edwards et al. (2021) [45] | N = 4592 (unknown) Age: 10 y | Philippines | Longitudinal 2016–2017 (15 y PD) | Cumulative disaster exposure (tropical cyclones, extreme rainfall, drought, volcanic activity, storm surges, sea level rises, flooding, tsunamis, earthquakes, fire, marine pollution) Hazard occurred in last 3 years. (Y/N) | Food insecurity: FIES; Stunting: WHO Child Growth Standards; Caregiver stress: PSS; Caregiver depression CES-D; Family violence, witnessing violence, child physical abuse (Y/N) |
|
Graham et al. (2019) [46] | N = 7525 (59.3%) Age: ≥16 y | UK | Cross-sectional 2013–2015 | Severe weather (wind, rain, snow, flooding) Home damaged by severe weather event in last 6 months? (Y/N) | Common mental disorder: CIS-R PTSD: PLC-C Suicidal thoughts, non-fatal suicide attempts and self-harm by questionnaire |
| |
Subacute | |||||||
Drought | Luong et al. (2021) [47] | Baseline: N = 2607 (59%) Pooled cross-sectional: N = 6519 (61%) Age: ≥18 y | Australia: New. South Wales | Ecological/longitudinal 2007–2013 | Drought HDSI (measures agricultural drought); SPEI (measures meteorological drought) | Psychological distress: K10 |
|
Heat | Lee et al. (2018) [48] | N = 166,579 ED admissions for mental disease Age: -- | Republic of Korea | Ecological 2003–2013 | Heatwaves Temp (daily mean), humidity, total solar radiation | ED admissions related to mental health |
|
Dang et al. (2022) [49] | N = 7780 Age: ≥18 y | Vietnam: Ho Chi Minh | Cross-sectional 2017–2019 | Heatwaves Combination of intensity (≥97th percentile of the daily mean temp, 30.9 °C) and duration (≥2 continuous days) | Admissions for psychiatric illness to Ho Chi Minh Mental Health Hospital |
| |
Ngu et al. (2021) [50] | -- | 60 countries worldwide did | Ecological | Heatwaves Temperature and/or relative humidity | Completed suicide |
| |
Yoo et al. (2021) [51] | N = 2.8 million (39.4%) | USA: New York State | Ecological 2009–2016 | Heatwaves (27.07 °C and above) | ED visits for specific mental disorders |
| |
Chronic | |||||||
Basu et al. (2018) [52] | N = 219,942 ED visits (44%) | USA: California | Ecological 2005–2013 | Temp (daily mean, maximum, minimum) | ED visits related to mental health, external-cause injuries |
| |
Bundo et al. (2021) [53] | N = 89,996 (50.1%) Age: ≥18 y | Switzerland: Bern | Ecological 1973–2017 | Temp daily mean | Psychiatric hospitalizations |
| |
Burke et al. (2018) [25] | N(USA) = 851,088 N(Mexico) = 611, 366 Age: -- | USA, Mexico | Ecological US: 1968–2004 Mexico: 1990–2010 | Temp monthly mean, monthly precipitation data | Completed suicide |
| |
Carleton et al. (2017) [54] | -- | India | Ecological 1956–2000 | Temp daily mean | Completed suicide |
| |
Middleton et al. (2021) [55] | N = 5373 (unknown) Age: -- | Canada: Newfoundland and Labrador | Ecological 2012–2018 | Temp Critical threshold range; daily mean temperature | Mental health-related visits, including suicide related-visits |
| |
Mullins et al. (2019) [56] | N(ED) = 8294 N(Suicides) = 2,096,460 N(Self-reported mental health) = 4,120,514 | USA: California | Ecological ED visits: 2005–2016 Suicide: 1960–2016 Self-reported mental health: 1993–2012 | Temp daily mean, daily precipitation, humidity, daily sunlight | ED visits related to mental health Self-reported mental health status: BFRSS Suicide rates |
| |
Page et al. (2018) [5] | N = 22,562 Age: ≥65; ≤65 | United Kingdom | Cross-sectional 1998–2007 | Temp daily mean | Mean daily count of deaths Diagnosis of psychosis, dementia or substance use |
| |
Tlihonen et al. (2017) [57] | N = 551,529 violent crimes | Finland | Ecological 1996–2013 | Temp Monthly mean | Violent Crime (proxy for aggression) |
| |
N = 51 (0%) Males only - n(violent) = 33 - n(healthy) = 18 Age: M = 33.4 y | Finland | Cross-sectional 1996–1997 | Temp Monthly mean | Peripheral serotonin transporter density |
| ||
Vida et al. (2012) [16] | N = 347,552 ED visits related to mental health Age: ≥15 y | Canada: Québec | Ecological 1995–2007 | Temp daily mean, relative humidity | ED visits related to mental health |
| |
Xue et al. (2019) [58] | N = 21,543 adults Age: -- | China | Difference-in-difference study 2010–2014 | Temp Long-term level of temp, temp variability | Self-reported mental health scores: Center for Epidemiologic Studies Depression Scale test |
|
3.5. Internalizing Mental Health Behaviors
3.5.1. PTSD
Proposed Mechanisms of Climate Change-Related PTSD
3.5.2. Depression
Proposed Mechanisms of Climate Change-Related Depression
3.5.3. Suicide
Proposed Mechanisms of Climate Change-Related Suicide
3.6. Externalizing Behaviors
4. Discussion
4.1. Interventions to Mitigate the Effect of Climate Change on Mental Health
4.2. Areas for Future Research
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Crane, K.; Li, L.; Subramanian, P.; Rovit, E.; Liu, J. Climate Change and Mental Health: A Review of Empirical Evidence, Mechanisms and Implications. Atmosphere 2022, 13, 2096. https://doi.org/10.3390/atmos13122096
Crane K, Li L, Subramanian P, Rovit E, Liu J. Climate Change and Mental Health: A Review of Empirical Evidence, Mechanisms and Implications. Atmosphere. 2022; 13(12):2096. https://doi.org/10.3390/atmos13122096
Chicago/Turabian StyleCrane, Katelin, Linda Li, Pearl Subramanian, Elizabeth Rovit, and Jianghong Liu. 2022. "Climate Change and Mental Health: A Review of Empirical Evidence, Mechanisms and Implications" Atmosphere 13, no. 12: 2096. https://doi.org/10.3390/atmos13122096
APA StyleCrane, K., Li, L., Subramanian, P., Rovit, E., & Liu, J. (2022). Climate Change and Mental Health: A Review of Empirical Evidence, Mechanisms and Implications. Atmosphere, 13(12), 2096. https://doi.org/10.3390/atmos13122096