Territory Differences in Adaptation to Heat among Persons Aged 65 Years and Over in Spain (1983-2018).

Climate change is currently regarded as the greatest global threat to human health, and its health-related consequences take different forms according to age, sex, socioeconomic level, and type of territory. The aim of this study is to ascertain the differences in vulnerability and the heat-adaptation process through the minimum mortality temperature (MMT) among the Spanish population aged ≥65 years by territorial classification. A retrospective, longitudinal, ecological time-series study, using provincial data on daily mortality and maximum daily temperature across the period 1983-2018, was performed, differentiating between urban and nonurban populations.

Heat Adaptation among the Elderly in Spain (1983-2018).

The capacity for adaptation to climate change is limited, and the elderly rank high among the most exposed population groups. To date, few studies have addressed the issue of heat adaptation, and little is known about the long-term effects of exposure to heat. One indicator that allows the ascertainment of a population's level of adaptation to heat is the minimum mortality temperature (MMT), which links temperature and daily mortality.

The influence of climate change on food production and food safety.

Food security and food safety are two concepts related to food risks. The majority of studies regarding climate change and food risks are related to the security of food provision. The objective of this study was to review the current state of knowledge of the influence of climate change on food production and food safety.

Changes in cause-specific mortality during heat waves in central Spain, 1975-2008.

The relationship between heat waves and mortality has been widely described, but there are few studies using long daily data on specific-cause mortality. This study is undertaken in central Spain and analysing natural causes, circulatory and respiratory causes of mortality from 1975 to 2008. Time-series analysis was performed using ARIMA models, including data on specific-cause mortality and maximum and mean daily temperature and mean daily air pressure.