Abstract
While climate change and population ageing are expected to increase the exposure and vulnerability to extreme heat events, there is emerging evidence suggesting that social inequalities would additionally magnify the projected health impacts. However, limited evidence exists on how social determinants modify heat-related cardiovascular morbidity. This study aims to explore the association between heat and the incidence of first acute cardiovascular event (CVE) in adults in Madrid between 2015 and 2018, and to assess how social context and other individual characteristics modify the estimated association.We performed a case-crossover study using the individual information collected from electronic medical records of 6514 adults aged 40–75 living in Madrid city that suffered a first CVE during summer (June–September) between 2015 and 2018. We applied conditional logistic regression with a distributed lag non-linear model to analyse the heat-CVE association. Estimates were expressed as Odds Ratio (OR) for extreme heat (at 97.5th percentile of daily maximum temperature distribution), compared to the minimum risk temperature. We performed stratified analyses by specific diagnosis, sex, age (40–64, 65–75), country of origin, area-level deprivation, and presence of comorbidities.Overall, the risk of suffering CVE increased by 15.3% (OR: 1.153 [95%CI 1.010–1.317]) during extreme heat. Males were particularly more affected (1.248, [1.059–1.471]), vs 1.039 [0.810–1.331] in females), and non-Spanish population (1.869 [1.28–2.728]), vs 1.084 [0.940–1.250] in Spanish). Similar estimates were found by age groups. We observed a dose-response pattern across deprivation levels, with larger risks in populations with higher deprivation (1.228 [1.031–1.462]) and almost null association in the lowest deprivation group (1.062 [0.836–1.349]). No clear patterns of larger vulnerability were found by presence of comorbidity.We found that heat unequally increased the risk of suffering CVE in adults in Madrid, affecting mainly males and deprived populations. Local measures should pay special attention to vulnerable populations.
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