Cardiovascular Disease as a Result of the Interactions Between Obesity, Climate Change, and Inflammation: The COCCI Syndemic

Climate to COVID, global to local, policies to people: a biopsychosocial ecological framework for syndemic prevention and response in behavioral medicine

Land development, pollution, and waste have affected natural environments, contributing to hurricanes, wildfires, and pandemic infectious diseases like COVID-19. Globalized corporate food systems that produce ultra-refined foods with low nutritional value contribute to both environmental conditions and health conditions like obesity and undernutrition. This has the greatest impact on communities already suffering from elevated health risks driven by economic inequities rooted in racism. These interacting environmental, health, and social conditions represent a syndemic. We outline practical suggestions to address this syndemic of environmental degradation, pandemic infectious disease, chronic disease, undernutrition, and inequity through research and practice at many levels, including individual behavior, local communities, and regional, national and global policy. Collaboration with communities is central to simultaneously tackling interconnected human and environmental health threats. For example, community-led groups have increased access to healthy food in response to pandemic conditions. Building on behavioral medicine's rich foundation of ecological models, communities have partnered with local researchers to address the needs of equitable public transport and reduction of greenhouse gas emissions through multilevel research and practice. Policymakers, researchers, practitioners, and community members should collaborate with each other and across disciplines to find lasting, multiduty solutions to improve physical, psychosocial, and planetary health.

Association between extreme precipitation and ischemic stroke in Hefei, China: Hospitalization risk and disease burden

BACKGROUND

Ischemic stroke is an acute cardiovascular disease with high disability and mortality. Extreme precipitation has been reported to increase the risk of some cardiovascular diseases and further increase the burden of disease. At present, no studies have evaluated the relationship between extreme precipitation and ischemic stroke.

OBJECTIVE

The aim of this study was to quantitatively analyze the association between extreme precipitation and ischemic stroke hospitalizations and further explore disease burden and its associated susceptible population.

METHODS

In this study, we used Poisson generalized linear model combined with distributed lag nonlinear model to investigate the relationship between extreme precipitation (≥95th percentile) and ischemic stroke and further explored the lag effect of extreme precipitation for population with different individual characteristics.

RESULTS

Ischemic stroke hospitalizations were significantly associated with extreme precipitation. The single-day effect occurred on lag 3 (RR = 1.040, 95% CI: 1.058-1.073) lasted until lag 8 (RR = 1.036, 95% CI: 1.004-1.068). The cumulative lag effects of extreme precipitation on ischemic stroke lasted six days (lag 6-lag 11). Male and people aged ≥65 years were more sensitive to extreme precipitation. The attributable fraction (AF) and numbers (AN) of extreme precipitation on hospitalizations for ischemic stroke were 1.38% and 236.4, respectively.

CONCLUSION

Our study suggested that extreme precipitation may increase the risk of hospital admissions for ischemic stroke, emphasizing the need for society and families to pay more attention to male and people aged ≥65 years.