National School of Public Health, Carlos III Institute of Health, 28029 Madrid, Spain.
Doctorate Program in Biomedical Sciences and Public Health, National University of Distance Education, 28015 Madrid, Spain.
Int J Environ Res Public Health. 2023 Feb 25;20(5):4168. doi: 10.3390/ijerph20054168.
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. The MMTs in the study period were higher for the ≥65-year age group in urban provinces, with a mean value of 29.6 °C (95%CI 29.2-30.0) versus 28.1 °C (95%CI 27.7-28.5) in nonurban provinces. This difference was statistically significant ( < 0.05). In terms of adaptation levels, higher average values were obtained for nonurban areas, with values of 0.12 (95%CI -0.13-0.37), than for urban areas, with values of 0.09 (95%CI -0.27-0.45), though this difference was not statistically significant ( < 0.05). These findings may contribute to better planning by making it possible to implement more specific public health prevention plans. Lastly, they highlight the need to conduct studies on heat-adaptation processes, taking into account various differential factors, such as age and territory.
气候变化目前被认为是对人类健康的最大全球性威胁,其与健康相关的后果因年龄、性别、社会经济水平和领土类型而呈现不同形式。本研究旨在通过最小死亡率温度(MMT)确定西班牙≥65 岁人群的脆弱性差异和热适应过程,按领土分类。采用回顾性、纵向、生态时间序列研究,使用 1983-2018 年期间省级每日死亡率和最高日温度数据,对城市和非城市人口进行区分。在研究期间,城市省份≥65 岁年龄组的 MMT 较高,平均值为 29.6°C(95%CI 29.2-30.0),而非城市省份为 28.1°C(95%CI 27.7-28.5)。这一差异具有统计学意义(<0.05)。在适应水平方面,非城市地区的平均数值较高,为 0.12(95%CI -0.13-0.37),而城市地区的数值为 0.09(95%CI -0.27-0.45),尽管这一差异没有统计学意义(<0.05)。这些发现可能有助于更好的规划,实施更具体的公共卫生预防计划。最后,它们强调需要研究热适应过程,考虑到年龄和领土等各种差异因素。