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A study in more than 3,000 US counties, with 315 million residents, has suggested that air pollution is linked with stress and depression, putting under-65-year-olds at increased risk of dying from cardiovascular disease. The research is presented today at ESC Preventive Cardiology 2024, a scientific congress of the European Society of Cardiology (ESC).1
“Our study indicates that the air we breathe affects our mental well-being, which in turn impacts heart health,” said study lead author Dr. Shady Abohashemof Harvard Medical School, Boston, US.
According to the World Health Organization, air pollution is estimated to have caused 4.2 million premature deaths worldwide in 2019.2 Mental illness has also been linked with premature death.3 This study examined whether air pollution and poor mental health are interrelated and have a joint impact on death from cardiovascular disease.
The study focused on particles less than 2.5 micrometres in diameter, also referred to as fine particles or PM2.5. They come from vehicle exhaust fumes, power plant combustion, and burning wood, and present the highest health risk. To conduct the study, county-level data on annual PM2.5 levels were obtained from the Centers for Disease Control and Prevention (CDC).4 PM2.5 exposure was categorised as high or low according to World Health Organization (WHO) standards. The researchers gathered data on the average number of days (age-standardised) that county residents experienced mental health issues — including stress, depression, and emotional problems — from the CDC.5 Each county was then categorised into three groups based on these numbers. Counties in the top third reported the most days of poor mental health (PMH).4 Age-adjusted premature cardiovascular mortality rates (under 65 years of age) per county, were obtained from the CDC.6 County characteristics were sourced from the County Health Rankings project.
The study included 3,047 US counties, representing 315,720,938 residents (with over 207 million aged 20 to 64 years and 50% females) in 2013. Between 2013 and 2019, some 1,079,656 (0.34%) participants died from cardiovascular disease before the age of 65 years. The researchers analysed the associations between pollution, mental health, and premature cardiovascular mortality after adjusting for factors that could influence the relationships.7
Counties with dirty air (high PM2.5 concentrations) were 10% more likely to report high levels of PMH days compared to counties with clean air (low PM2.5 concentrations). That risk was markedly greater in counties with a high prevalence of minority groups or poverty. The link between PMH and premature cardiovascular mortality was strongest in counties with higher levels (above WHO recommended levels: ≥10 µm2) of air pollution. In these counties, higher levels of PMH were associated with a three-fold increase in premature cardiovascular mortality compared to lower PMH levels. Further, one-third of the pollution-related risk of premature cardiovascular deaths was explained by increased burden of PMH.
Dr. Abohashem said: “Our results reveal a dual threat from air pollution: it not only worsens mental health but also significantly amplifies the risk of heart-related deaths associated with poor mental health. Public health strategies are urgently needed to address both air quality and mental wellbeing in order to preserve cardiovascular health.”
The levels of pollution across ESC countries can be viewed in the ESC Atlas of Cardiology:
References and notes
1The abstract ‘Air pollution associates with poor mental health and amplifies the premature cardiovascular death in the United States: longitudinal nationwide analysis’ will be presented during the session ‘Young Investigators Award — Population Science and Public Health’ which takes place on 26 April 2024.
2World Health Organization: Ambient (outdoor) air pollution.
3Byrne P. Meeting the challenges of rising premature mortality in people with severe mental illness. Future Healthc J. 2023;10(2):98-102.
4CDC PLACES databases.
5CDC Behavioral Risk Factor Surveillance System.
6CDC WONDER databases.
7The analyses were adjusted for calendar year and county characteristics such as demographics, median household income, unemployment rates, violent crime rates, education level, food environment index, rates of health insurance, level of mental health provision, level of primary care provision.