Abstract
Importance:
Climate change may increase the risk of adverse cardiovascular outcomes by causing direct physiologic changes, psychological distress, and disruption of health-related infrastructure. Yet, the association between numerous climate change-related environmental stressors and the incidence of adverse cardiovascular events has not been systematically reviewed.
Objective:
To review the current evidence on the association between climate change-related environmental stressors and adverse cardiovascular outcomes.
Evidence Review:
PubMed, Embase, Web of Science, and Cochrane Library were searched to identify peer-reviewed publications evaluating associations between environmental exposures and cardiovascular mortality, acute cardiovascular events, and related healthcare utilization. Studies that only examined non-wildfire sourced particulate air pollution were excluded. Two investigators independently screened 20,798 articles and selected 2,564 for full-text review. Study quality was assessed using the Navigation Guide framework. Findings were qualitatively synthesized as substantial differences in study design precluded quantitative meta-analysis.
Findings:
Of 492 observational studies that met inclusion criteria, 182 examined extreme temperature, 210 ground-level ozone, 45 wildfire smoke, and 63 extreme weather events such as hurricanes, dust-storms, and droughts. These studies presented findings from 30 high-income, 17 middle-income, and 1 low-income countries. The strength of evidence was rated as sufficient for extreme temperature, ground-level ozone, tropical storms/hurricanes/cyclones, and dust storms, limited for wildfire smoke, and inadequate for drought and mudslides.
Exposure to extreme temperature was associated with increased cardiovascular mortality and morbidity, but the magnitude varied with temperature and duration of exposure. Ground-level ozone amplified the risk associated with higher temperatures and vice versa. Extreme weather events such as hurricanes were associated with increased cardiovascular risk that persisted for many months after the initial event. Some studies noted a small increase in cardiovascular mortality, out-of-hospital cardiac arrests, and hospitalizations for ischemic heart disease after exposure to wildfire smoke, while others found no association. Older adults, minortized populations, and lower wealth communities were disproportionately affected.
Conclusions and Relevance:
Several environmental stressors that are predicted to increase in frequency and intensity with climate change are associated with increased cardiovascular risk, but data on outcomes in low-income countries are lacking. Urgent action is needed to mitigate climate change-related cardiovascular risk, particularly in vulnerable populations.
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally.1 Substantial improvements in CVD prevention and treatment have produced a 33% decline in age-adjusted CVD mortality in the past two decades,1 but climate change may undermine this progress. Combustion of fossil fuels over the past 150 years has greatly increased the atmospheric concentrations of heat-trapping greenhouse gases such as carbon dioxide and methane and caused climate change, which includes long-term shifts in average weather patterns, disturbance of ecosystems, and rising sea levels (Table 1).2,3 A core feature of climate change is global warming. Our planet is now 1.4°C (2.5°F) warmer than in the late nineteenth century and the 10 warmest years on record have all occurred in the past decade (Figure 1).4,5
Table 1.
Key Terminology in Climate Change.
| Climate change | Long-term shifts in global temperatures and weather patterns. These shifts may be natural, such as through variations in the solar cycle. However, since the 1800s, human activities have been the undisputable primary driver of climate change, primarily due to burning fossil fuels like coal, oil, and gas. Global warming is one component of climate change, which is causing disruption of ecosystems and rising sea levels. |
| Global warming | Long-term heating of Earth’s surface observed since the pre-industrial period (between 1850 and 1900) due to human activities, primarily fossil fuel burning, which increases heat-trapping greenhouse gas levels in Earth’s atmosphere. Rising land and water temperatures set up positive feedback cycles: because water reflects less heat than ice, melting of polar ice caps contributes to further warming. Similarly, melting of the tundra ice exposes trapped carbonaceous material that releases additional carbon dioxide as it decays, setting up a vicious cycle. |
| Heat wave | A period of abnormally hot weather. The temperature threshold and duration of heat that is used to define a heat wave varies substantially by location, season, and study design. Adverse health outcomes vary by location and the population in consideration, but often start on the first day of high temperatures. |
| Cold spell | A period of abnormally cold weather. The temperature threshold and duration of cold that is used to define a cold spell varies substantially by location, season, and study design. Adverse health outcomes vary by location and the population in consideration, and may start on the first day of cold temperatures or be delayed by few days. |
| Ground-level ozone | Ground-level ozone, also known as tropospheric ozone, is an air pollutant that is created by chemical reactions between oxides of nitrogen and volatile organic compounds. This occurs when pollutants emitted by cars, power plants, industrial boilers, refineries, chemical plants, and other sources chemically react in the presence of sunlight. Higher temperatures accelerate the production of ground-level ozone. |
| Climate Penalty | Amplification of air pollution by climate change. For instance, higher temperatures increase production of ground-level ozone, both of which are associated with worse health outcomes. This is of particularly concern in Asia, which is home to a quarter of the world’s population and where many countries are already grappling with enormous epidemics of premature cardiovascular disease. |
| Carbon sinks | Natural resources, such as forests and oceans, that absorb more carbon dioxide than they release into the atmosphere. |
Figure 1. Global Temperature Trends 1881–2024.

The figure shows negative (blue) and positive (red) deviations from the average 20th century land temperature from 1850 to 2023. Despite year-on-year variability, a clear trend of warming temperatures is noted. All 10 of the warmest years on record have occurred in the past decade, and 2023 was the warmest year on record since record-keeping began in 1850. Data from the National Centers for Environmental Information at the National Oceanic and Atmospheric Administration.65
Climate change may affect cardiovascular health through several pathways (Figure 2). First, exposure to environmental stressors produces physiologic changes – such as increased heart rate and plasma viscosity with extreme heat exposure or local and systemic inflammation after inhalation of airborne particulate matter.6–10 Second, coping with extreme weather events increases stress, anxiety, and depression, and these adverse mental health effects may contribute to cardiovascular risk.11 Third, extreme events like hurricanes or floods disrupt healthcare infrastrucrture or healthcare delivery (e.g., through power outages or disrupted supply chains).12 Fourth, long-term socioeconomic effects of climate change may adversely affect cardiovascular health. For instance, changing rainfall patterns, rising temperatures, and saltwater intrusion into aquifers are projected to produce declines in agricultural productivity in many parts of the world; the resulting food insecurity may compromise nutritional quality and cardiovascular health.13 Climate-related migration will change where we seek and supply cardiovascular care. Sea level-rise may damage exisiting healthcare and transportation infrastructure, compromising healthcare access and delivery. Collectively, these pathways have the potential to undermine the cardiovascular health of the population, but the magnitude of this effect and the populations that will be particularly susceptible are uncertain.
Figure 2. Climate Change and Cardiovascular Health.

Climate change may adversely affect cardiovascular health through several pathways, including direct effects on physical and mental health and indirect effects from disruption of healthcare delivery or worsening social determinants of health. The relative importance of each of these mechanisms may vary by community and over time, but collectively they have the potential to undermine the substantial gains in cardiovascular health achieved globally in recent decades.
Therefore, we undertook a systematic review to summarize the associations between climate change-related events and cardiovascular health, clarify implications for clinicians and health systems, and identify knowledge gaps to direct future investigation.
Methods
We searched PubMed, Embase, Web of Science, and Cochrane Libary for peer reviewed English-language publications from January 1, 1970 through November 15, 2023 that evaluated associations between: (i) extreme ambient temperatures, (ii) wildfires and resulting particulate air pollution; (iii) ground level ozone; (iv) extreme weather events such as hurricanes, dust storms, or drought; (v) sea level rise; (vi) salt water intrusion, and (vii) climate-related migration with acute cardiovascular events (i.e., ischemic heart disease, heart failure, cardiac arrest, arrhythmias, and stroke), cardiovascular mortality, and CVD healthcare utilization. We excluded studies that only examined the well-established causal relationship between non-wildfire sourced particulate air pollution and CVD11,14 or exclusively focused on occupational exposures. Additional studies were identified through a review of the bibliographies of relevant publications (See Table S1 in the Appendix for full search strategy and included health outcomes). The protocol was registered in the International Prospective Register of Systematic Reviews (CRD42022320923) and follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.15,16 Since the review exclusively used publicly available data, the institutional review board at Beth Israel Deaconess Medical Center deemed that it did not constitute human subjects research.
Two investigators independently screened all included articles. For studies that met inclusion criteria, we extracted study design, exposure assessment, association of exposure with study outcomes, and, if reported, lag structure and observed heterogeneity.
The quality of studies was evaluated using the Navigation Guide framework for reviews of observational studies in environmental health.17–19 Briefly, we assessed each study for risk of bias (separately for exposure, outcome, and confounders, and overall), evaluated the quality of evidence across studies, and examined the strength of evidence across studies. See Appendix for additional details (Table S2). Country-level income category was assigned using the World Bank 2021 classification.20 Race/ethnicity, where available, were reported as defined by individual studies. Study-level estimates were qualitatively synthesized as substantial study design differences precluded quantitative meta-analysis. The review was performed using Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia). The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.
Results
Two investigators independently screened 20,798 articles, of which 2,564 were selected for full-text review based on relevancy of titles and abstracts (Figure 3). A total of 492 studies met inclusion criteria (Table S3), including 167 extreme heat, 97 extreme cold, 210 ground-level ozone, 45 wildfires, and 63 extreme weather studies (Figure 3). We identified no studies evaluating the relationship between sea level-rise, salt-water intrusion, or climate-related migration and cardiovascular outcomes. The studies reported data from 30 high income, 13 upper-middle income, 4 lower-middle income countries, and one low income countries (Figure 4). All studies were observational in design. 446 studies (91%) were rated with low risk or probably low risk of bias (Figure S1). Across all studies, the quality of evidence was rated as high for extreme temperature, tropical storms, and dust storms; moderate for ozone and wildfire smoke; and low for other exposures. The overall strength of evidence was rated as sufficient for extreme temperature, ozone, tropical storms, and dust storms (i.e., the conclusion unlikely to be strongly affected by the results of future studies); limited for wildfire smoke (i.e., the observed effect could change as more information becomes available); and inadequate for floods, drought, and mudslides (i.e., more information may allow an assessment of effects).
Figure 3. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.

We searched PubMed, Embase, Web of Science, and Cochrane Library databases for relevant publications from 1970 to 2023. Two investigators independently screened the titles and abstracts of 20,798 articles, of which 2,564 were considered for full-text review. A total of 492 studies were included in the final analysis.
*Six studies assessed both extreme temperature and ground-level ozone, 1 study assessed both extreme tmpereature and wildfires, and 1 study assessed both wildfires and extreme weather(dust storms)
Figure 4. Countries with Studies Examining the Association Between Climate Change and Cardiovascular Health.

The 492 studies that met inclusion criteria for this systematic review reported data from 30 high-income, 13 upper-middle income, 4 lower-middle income countries, and one low-income countries. Numbers indicate the number of included studies from each country. Several studies included data from more than one country. The dearth of studies from low- and middle-income countries is problematic both because of the large number of people at risk and because of the greater expected impact of climate change in these countries.
Extreme Heat and Heat Waves
The majority of studies examining extreme heat exposure reported an association with increased cardiovascular mortality (87 of 101 studies, 86%) (Table S4). For instance, in a study of all counties in the contiguous U.S., each additional day of heat exposure (defined as heat index ≥90 °F [32.2 °C] and in the 99th percentile of the maximum heat index for that day) was associated with a 0.12% (95% CI, 0.04%-0.21%; P=0.004) increase in monthly cardiovascular mortality among adults 20 years or older.21 The authors estimated that between 2008 and 2017, an estimated 5,958 (95% CI, 1,847–10,069) excess CVD deaths were associated with heat exposure.21 Alahmad and colleagues found similar results in a multi-country cohort from 567 cities in 27 countries: extreme heat (99th percentile) was associated with higher risk of dying from any CVD, ischemic heart disease, stroke, and heart failure.22 Since the risk typically rose starting on the day of exposure, short lags fully captured the association of extreme heat and heat waves with CVD.
Among a subset of studies that examined heatwaves, i.e., sustained periods of high termperature typically defined as lasting two or more days, 24 of 28 (85%) reported an association with increased cardiovascular mortality. Cardiovascular risk increased with higher temperatures and longer heatwaves.23 Studies examining the association of extreme heat or heatwaves with cardiovascular morbidity or healthcare utilization found less consistent results than studies examining cardiovascular mortality (35 of 69 morbidity studies, or 51%, reported a positive association) (Table S4).
The association between heat and CVD varied by characteristics of the exposed population and by location. Age greater than 65 years, male gender, minoritized populations, pre-existing cardiovascular or pulmonary conditions, and employment in outdoor work were associated with increased CVD risk following heat exposure.21,23 Residence in urban heat islands – areas warmer than surrounding areas due to the relative lack of vegetation, increased presence of heat-absorbing manmade surfaces (i.e. concrete), and inefficient ventilation of warm air – was associated with increased risk of CVD,24 whereas access to air-conditioning was protective. There was marked regional variation, with cardiovascular hospitalizations rising at lower temperatures in cooler climates than in warmer climates.
Extreme Cold and Cold Spells
Although climate change is primarily projected to increase episodes of extreme heat globally, some regions may paradoxically experience increases in extremely cold weather due to arctic ice melt and changes in atmospheric and ocean currents.25 Forty nine of 60 studies (82%) found associations between cold exposure and cardiovascular mortality, but the magnitude of the association ranged widely (from 3% to 172% increase, varying by region and temperature thresholds used) (Table S5).26,27 This association appeared to persist after accounting for seasonality and the concurrent burden of influenza cases (which may confound the association of extreme cold with cardiovascular outcomes). Longer lag periods were required to capture the full association of cold with cardiovascular mortality because the increased risk peaked days to weeks after cold exposure.24 Among a subset of 11 studies evaluating cold-spells, defined as extreme low temperatures lasting two or more days, 10 studies (91%) reported an association with increased CVD mortality.
The majority of studies (33 of 43, 77%) demonstrated in an association between cold exposure and increased cardiovascular morbidity or healthcare utilization. For instance, cold-spells were associated with increases in CVD-related emergency department visits in Canada28 and stroke hospitalizations in Australia.29
Women and older individuals were more susceptible to the increased cardiovascular risk associated with extreme cold exposure.30,31 Differences in outcomes by socioeconomic level appeared to be less pronounced than with heat exposure.24
Ground-level Ozone
High temperatures increase ground-level ozone production by accelerating photochemical reactions between oxides of nitrogen and volatile organic compounds. Of studies that evaluated increased ground-level ozone concentrations, 44 of 71 (62%) studies identified an association with icreased CVD mortality (Table S6). The association with cardiovascular morbidity was less consistent: 82 of 143 (57%) reported increased CVD morbidity, 51 (36%) reported no change, and 10 (7%) reported a negative correlation. In studies based out of the United States and France, ozone exposure after a myocardial infarction were associated with increased risk of recurrent ischemic events (cerebral or cardiac; odds ratio [OR], 1.074; 95% CI 1.016–1.135 per 10 μg/m3 in straight 8-hour mean ambient ozone concentration), worse anginal symptoms, and higher cardiovascular mortality.32,33 In contrast, a study out of Boston, Massachusetts of more than 15,000 patients found no significant correlation between elevated ground-level ozone and admission for myocardial infarction (proportional increase, 0.90%; 95% CI −8.36%-6.55%).34
A positive interaction between ozone levels and temperature on adverse cardiovascular events was observed in 11 of 16 studies (69%), with higher levels of ozone amplifying the association of high temperature or high temperature amplifying the association of ground-level ozone exposure.35 For instance, an increase in the 24-hour mean ambient ozone concentration was associated with increased cardiovascular mortality when the temperature was above the 75th percentile but not when temperatures were less than the 25th percentile.36
Wildfires
The 45 studies evaluating the association between wildfire smoke and CVD used varying definitions of fire exposure (e.g., aerial photographs of smoke versus ground-level monitoring of particulate pollution) and outcomes (Table S7). As a result, the findings were less consistent: 4 of 10 (40%) examining the association with cardiovascular mortality found a positive association whereas 6 of 10 (60%) did not. A large study using a global chemical transport model to estimate wildfire-related PM2.5 and daily death counts from 749 cities in 43 countries and regions found a 1.7% (95% CI, 1.2–2.1%) increase in the pooled relative risk of cardiovascular mortality associated with a 10 μg/m3 increase in the 3-day moving average of wildfire-related PM2·5 concentrations.37 But a significant association was not seen with Australian bushfire smoke using particulate matter data from fixed monitoring sites.38 Because wildfire smoke can be carried by the wind over very long distances, the association with CVD outcomes was detectable thousands of miles from the source of the fire.
Studies also reported variable associations with cardiovascular morbidity or healthcare utilization, with 16 of 37 (43%) studies reporting a positive association. Of these, the strongest associations were observed for increased emergency department visits or hospitalization for ischemic heart disease39–41 and cardiac arrest.39,42–44 Wildfire smoke exposure was associated with more emergency department visits for heart failure, arrhythmias, and hypertension.39,41,45,46 Among studies that reported an association with CVD, the association peaked on lag days 1–3 but extended up to a week after smoke exposure.39,47,48
Populations with lower baseline air pollution exposure, older adults, and residents of lower-wealth communities had larger increases in adverse CVD outcomes related to wildfire smoke exposure.39,45,49 For instance, in Australia, indigenous people exposed to wildfire smoke were more likely to be hospitalized for ischemic heart disease than non-indigenous people (OR, 1.71; 95% CI, 1.14–2.55) despite similar exposure levels.46
Extreme Weather Events
Tropical storms, Hurricanes/Cyclones, Floods, and Mudslides
Of studies examining the association of hurricanes or cyclones (n=17), floods (n=3), and mudslides (n=1), the majority reported increased CVD mortality (8 of 9 studies, 89%) and worse cardiovascular morbidity (17 of 20 studies, 85%) during these events (Table S8–10). Notably, the increased CVD risk outlasted the extreme weather event in several studies. For instance, among U.S. adults 65 years of age or older exposed to Hurricane Sandy, cardiovascular morbidity was greater during the storm than during similar periods before and after the storm (rate ratio, 2.65; 95% CI, 2.64–2.66),50 and risk remained elevated up to 12 months after the storm (rate ratio, 2.64; 95% CI, 2.64–2.65).50 Disrupted healthcare access due to Hurricane Sandy was also associated with worse blood pressure control among U.S. veterans after two years.51 Women and older adults may be at greater risk of adverse cardiovascular events from hurricanes.52,53 Hurricanes also affected mental health, an important determinant of CVD risk. Katrina survivors who developed post-traumatic stress disorder or depression were more likely to require hospital admission or die from CVD.54,55 Given the small number of studies that examined floods and mudslides, their association with cardiovascular outcomes was uncertain (Tables S9 and S10).
Dust Storms
Of studies examining the relationship between dust storms and adverse CVD outcomes (n=30), a majority reported an association with increased CVD mortality (12 of 19 studies, 63%) or CVD morbidity (9 of 12 studies, 75%) (Table S11). Dust storms were associated with a 65% increase in the odds of hospitalization for myocardial infarction with non-obstructive coronary artery disease (OR, 1.65; 95% CI, 1.18–2.29) in Japan56 and 83% relative increase in mortality from ischemic heart disease (RR, 1.183; 95% CI, 1.017–1.348) in China.57
Drought
Four studies examined the association of drought with CVD, all of which adjusted for the effect of temperature. (Table S12). Of three studies that examined cardiovascular mortality, two reported a small but statistical increase in cardiovascular mortality during drought compared with non-drought reference periods. Drought was associated with worse cardiovascular outcomes in Portugal (RR for cardiovascular mortality, 1.011; 95% CI, 1.004–1.019),58 but not in the United States.59
Discussion
This systematic review of 492 studies yields several key insights regarding the relationship between climate change-related environmental stressors and cardiovascular health. First, the majority of included studies found that extreme ambient temperatures, ground-level ozone, and severe weather events such as hurricanes and dust storms were associated with adverse cardiovascular outcomes. On the other hand, the association with adverse cardiovascular outcomes was less certain for exposure to wildfire smoke and some extreme weather events such as floods, mudslides and drought. Second, the temporal association between the exposure and cardiovascular events was variable: the increased risk was observed on the day of the exposure, such as with extreme heat, or delayed days to weeks, as in the case of extreme cold. For some environmental exposures, the increased risk persisted well beyond the inciting event – with increased cardiovascular risk noted 12 months after a severe storm. Third, there may be an interaction among some stressors: heat-fueled production of ground-level ozone may amplify the increased cardiovascular risk associated with high temperatures. This is of particular concern in Asia, which is home to a quarter of the world’s population and where many countries are already grappling with extreme temperatures, high concentrations of ozone and other pollution, and epidemics of premature CVD. Fourth, people living hundreds of miles from the source may experience increased CVD risk, as with wildfire smoke and dust-storms. Fifth, while all segments of the population are likely to be affected in some way, climate change-related CVD risk disproportionately affects older adults, individuals from racial and ethnic minority groups, and lower wealth communities. This may be due to differences in baseline health and nutrition status, access to healtcare, and available resources to respond to extreme weather.24 Thus, climate change may compound health inequities that arise from socioeconomic disadvantage and structural racism.60
This review identified major knowledge gaps and prioroity areas for future investigation. Only one study was conducted in a low-income country (Burkina Faso) and only five were based in Africa. This gap is particularly alarming given expected greater harms of climate change in low- and middle-income countries.61 Studying the health effects of climate change in low-income countries will require investments in both environmental measurements as well as surveillance systems for accurate collection of health data. The design of included studies precluded causal attribution; future studies applying newer causal inference frameworks should address this limitation. Future studies should examine whether the association varies by exposure subtypes (e.g., whether wildfires are burning natural vegetation or building materials), characterize the sequalae of recurrent exposures (e.g., consecutive summers of active wildfires), and clarify the biological and socioeconomic mechanisms underlying the observed association between environmental exposures and CVD outcomes. For instance, although the association of environmental exposures with long-term CVD outcomes may be partially explained by disruption in health care delivery, changes in health care seeking behavior, and declines in mental health, further defining causal mechanisms (e.g., epigenetic changes resulting from chronic stress) may help identify solutions. Because of substantial individual variability in risk, a “climate change CVD risk score” that helps clinicians identify patients at greatest risk of adverse cardiovascular outcomes with environmental stressors is urgently needed.62,63 Future studies should help identify interventions to mitigate climate change-related cardiovascular risk, such as the use of high-efficiency particulate air purifiers during periods of high levels of wildfire smoke levels.
Despite these knowledge gaps, our findings have important clinical implications. Clinicians should consider evaluating each patient’s CVD risk from climate change-exposures based on individual, community, and health system attributes.64 For instance, does the patient have higher-than-average exposure to environmental stressors (e.g., employment that requires outdoor work), higher susceptibility (e.g., presence of cardiorespiratory comorbidities), or limited resources to avoid the exposure (e.g., housing without air conditioning)? Clinicians should be aware that heat-related cardiovascular risk varies by community, pradoxically rising at lower temperatures in cooler areas (such as the northwestern U.S., where homes do not typically have air-conditioning) compared with areas accustomed to high temperatures (such as the southwestern U.S., where air-conditioning is widely available).28 Conversely, cold-related cardiovascular risk is greater in the southern U.S. than in the north.24 Thus, local data are necessary to guide policy and clinical practice. In regions with frequent wildfire smoke days, susceptible patients should learn how to interpret local air quality indices and stay indoors during periods of high wildfire-smoke levels. In areas prone to extreme weather events such as hurricanes or flooding, clinicians should assist patients in developing contingency plans to ensure uninterrupted access to medications and healthcare as needed.
Our study has a few limitations. Study heterogeneity, particularly with regard to how exposures are ascertained and quantified, limits inter-study comparability. For instance, there is no unviersal definition of what constitutes extreme heat, how many days of extreme heat constitutes a heat wave, or how one measures wildfire smoke exposure. Universal definitions would enhance comparability among studies and allow clinicians and policy-makers to apply the findings to their own contexts. Our evaluation of temperature focused on studies examining the association of extreme temperature and cardiovascular health and therefore excluded studies examining more moderate but “non-optimal” temperatures. Our analysis was restricted to studies that examined fatal and non-fatal cardiovascular outcomes and therefore cannot address questions about underlying mechanism or potential mitigation strategies, which are the focus of future work.
Conclusion
Exposure to climate change-related environmental stressors is associated with an increased risk of CVD mortality and morbidity, but persistent knowledge gaps include the effect in low-income countries, the long-term cardiovascular sequelae of recurrent environmental events, and the interplay between climate change and social determinants of health. Continued gains in cardiovascular health require urgent action to identify and implement cost-effective interventions to reduce climate change-related CVD risk, particularly in vulnerable populations.
Supplementary Material
KEY POINTS.
Question:
Is there an association between climate change-related environmental stressors and cardiovascular health outcomes?
Findings:
In this systematic review of 492 observational studies, exposure to climate change-related exposures like extreme temperature and hurricanes was strongly associated with increased morbidity and mortality from cardiovascular disease, while increased risk after exposure to wildfire smoke was less certain. Older adults, individuals from racial/ethnic minority groups, and lower wealth communities were disproportionately affected, while data on outcomes in low-income countries were lacking.
Meaning:
Urgent action is needed to reduce greenhouse gas emissions and lower climate change-related cardiovascular risk in vulnerable populations.
SOCIAL MEDIA POST.
Systematic review finds that environmental stressors like extreme temperature, hurricanes, and wildfires are associated w/ increased CV morbidity & mortality. Urgent action is needed to mitigate climate-related CV risk, esp. in vulnerable populations
FUNDING AND ACKNOWLEDGEMENTS
This work was supported by the Burke Fellowship from the Harvard Global Health Institute, Harvard University, Cambridge, Massachusetts (D.S.K) and institutional funds from the Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts. Funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
The authors would like to thank Mr. Nathan Norris, MLS, Senior Information Specialist at Beth Israel Deaconess Medical Center, Boston, Massachusetts for his technical assistance with implementing the literature search, Mr. Yang Song, PhD, MSc, Director of Research S tatistics at the Smith Center for Outcomes Research, Boston, Massachusetts and Mr. Hibiki Orui, MA, Biostatistician at the Smith Center for Outcomes Research, Boston Massachusetts for their assistance with creating Figure 1.
Contact information and diclosures for authors
| Name | Address + Tel no. + Email | Disclosures | Funding related to this work |
|---|---|---|---|
| Kazi | 375 Longwood Ave, 4th Floor Boston MA 02215 Phone: 617-632-7699 Fax: 617-632-7698 Email: dkazi@bidmc.harvard.edu |
None | Burke Fellowship from the Harvard Global Health Institute Smith Center for Outcomes Research in Cardiology |
| Katznelson | 1305 York Ave New York, NY 10021 Phone: 650-387-7118 Email: rpp9004@nyp.org |
None | None |
| Liu | 375 Longwood Ave, 4th Floor Boston MA 02215 Phone: 617-632-7699 Fax: 617-632-7698 Email: a126833028@gmail.com |
None | None |
| Al-Roub | 375 Longwood Ave, 4th Floor Boston MA 02215 Phone: 617-632-7699 Fax: 617-632-7698 Email: nalroub@bidmc.harvard.edu |
None | None |
| Chaudhary | 375 Longwood Ave, 4th Floor Boston MA 02215 Phone: 617-632-7699 Fax: 617-632-7698 Email: rchaudh2@bidmc.harvard.edu |
None | None |
| Young | Information Systems - Knowledge Services Beth Israel Deaconess Medical Center 185 Pilgrim Road, Baker 101 Boston, MA 02215 Telephone: 617-632-8311 Email: dyoung3@bidmc.harvard.edu |
None | None |
| McNichol | Information Systems - Knowledge Services Beth Israel Deaconess Medical Center 185 Pilgrim Road, Baker 101 Boston, MA 02215 Telephone: 617-632-8311 Email: mmcnich3@bidmc.harvard.edu |
None | None |
| Mickley | Pierce Hall, 29 Oxford Street Cambridge MA 02138 Phone: 617-496-5635 Fax: 617-495-4551 Email: mickley@fas.harvard.edu |
None | US Environmental Protection Agency (EPA) grant 83587201 |
| Kramer | 375 Longwood Ave, 4th Floor Boston MA 02215 Phone: 617-632-7699 Fax: 617-632-7698 Email: dkramer@bidmc.harvard.edu |
None | None |
| Cascio | 109 T.W. Alexander Drive MC: 305-01, B-310F Durham, NC 27711 Phone: 919-541-2508 Email: cascio.wayne@epa.gov |
None | None |
| Bernstein | 300 Longwood Ave Boston, MA 02115 Email: aaron_bernstein@hms.harvard.edu |
None | None |
| Rice | Beth Israel Deaconess Medical Center Ks/Bm23 330 Brookline Ave Boston MA 02215 Phone: 617-667-5864 Email: mrice1@bidmc.harvard.edu |
None | National Institutes of Health Conservation Law Foundation fees for expert testimony |
Footnotes
DECLARATION OF INTERESTS
We declare no competing interests.
DISCLAIMER
The research described in this article has been subjected to review by the US Environmental Protection Agency’s Office of Research and Development and approved for publication. Approval does not signify that the contents reflect the views or policy of the Agency, nor doesmention of trade names or commercial products constitute endorsement or recommendation for use.
DATA SHARING
This study relies on published data that are already in the public domain and can be obtained from the primary publications cited in the Appendix. The study protocol is registered in the International Prospective Register of Systematic Reviews (PROSPERO, ID Number CRD42022320923).
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
This study relies on published data that are already in the public domain and can be obtained from the primary publications cited in the Appendix. The study protocol is registered in the International Prospective Register of Systematic Reviews (PROSPERO, ID Number CRD42022320923).
