ZusammenfassungThe burden of non-communicable diseases is expected to increase in the future under climate change across most land areas globally, including Germany. Several epidemiological studies have reported associations between exposure to ambient temperature and cardiovascular and metabolic disease outcomes while there is not much evidence regarding the effects of ambient temperature to cognitive function. The two sub-projects which are joined in this proposal aim to investigate the association of short-term exposure to air temperature with levels of blood pressure, heart rate, biomarkers of cardio-metabolic outcomes and cognition in participants from the NAKO Gesundheitsstudie (German National Cohort) baseline assessment, with the final scope to identify the impact of climate on health in the study population. A novel high-resolution air temperature model derived by combining satellite, meteorological and land cover data for Germany will be used to assign the minimum, mean and maximum air temperature on a daily basis. Distributed lag non-linear models will be applied to investigate the association between temperature exposure and our outcomes of interest, assessing confounding factors and effect modification. Our results will contribute to inform climate change adaptation planning in the health sector, within the context of the HI-CAM (Helmholtz-Initiative Climate Adaptation and Mitigation: two sides of the same Coin) project, an initiative of the Helmholtz Association.

Schlüsselwörter-

EinrichtungenMax-Delbrück-Centrum für Molekulare Medizin, Helmholtz Zentrum München, Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft, Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Max-Delbrück-Centrum für Molekulare Medizin (MDC)