Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Oeschger Center for Climate Change Research (OCCR), University of Bern, Bern, Switzerland.
Environ Health Perspect. 2022 Mar;130(3):37001. doi: 10.1289/EHP9835. Epub 2022 Mar 9.
Because older adults are particularly vulnerable to nonoptimal temperatures, it is expected that the progressive population aging will amplify the health burden attributable to heat and cold due to climate change in future decades. However, limited evidence exists on the contribution of population aging on historical temperature-mortality trends.
We aimed to ) assess trends in heat- and cold-related mortality in Switzerland between 1969 and 2017 and ) to quantify the contribution of population aging to the observed patterns.
We collected daily time series of all-cause mortality by age group (, 65-79, and 80 y and older) and mean temperature for each Swiss municipality (1969-2017). We performed a two-stage time-series analysis with distributed lag nonlinear models and multivariate longitudinal meta-regression to obtain temperature-mortality associations by canton, decade, and age group. We then calculated the corresponding excess mortality attributable to nonoptimal temperatures and compared it to the estimates obtained in a hypothetical scenario of no population aging.
Between 1969 and 2017, heat- and cold-related mortality represented 0.28% [95% confidence interval (CI): 0.18, 0.37] and 8.91% (95% CI: 7.46, 10.21) of total mortality, which corresponded to 2.4 and 77 deaths per 100,000 people annually, respectively. Although mortality rates for heat slightly increased over time, annual number of deaths substantially raised up from 74 (12;125) to 181 (39;307) between 1969-78 and 2009-17, mostly driven by the age group. Cold-related mortality rates decreased across all ages, but annual cold-related deaths still increased among the , due to the increase in the population at risk. We estimated that heat- and cold-related deaths would have been 52.7% and 44.6% lower, respectively, in the most recent decade in the absence of population aging.
Our findings suggest that a substantial proportion of historical temperature-related impacts can be attributed to population aging. We found that population aging has attenuated the decrease in cold-related mortality and amplified heat-related mortality. https://doi.org/10.1289/EHP9835.
由于老年人特别容易受到不适宜温度的影响,预计未来几十年,人口老龄化进程将加剧因气候变化导致的与热和冷相关的健康负担。然而,关于人口老龄化对历史时期温度-死亡率趋势的影响,目前的证据还很有限。
我们旨在)评估 1969 年至 2017 年期间瑞士与热和冷相关的死亡率趋势,以及)量化人口老龄化对观察到的模式的贡献。
我们收集了每个瑞士市镇的按年龄组(65-79 岁和 80 岁及以上)和平均温度划分的全因死亡率的每日时间序列(1969-2017 年)。我们采用两阶段时间序列分析和多变量纵向荟萃回归,根据州、十年和年龄组获得温度-死亡率关联。然后,我们计算了归因于不适宜温度的超额死亡率,并将其与在无人口老龄化假设情景下获得的估计值进行了比较。
1969 年至 2017 年间,与热和冷相关的死亡率分别占总死亡率的 0.28%(95%置信区间:0.18,0.37)和 8.91%(95%置信区间:7.46,10.21),这相当于每年每 10 万人中有 2.4 人和 77 人死亡。尽管与热相关的死亡率随着时间的推移略有上升,但每年的死亡人数却从 1969-78 年和 2009-17 年的 74(12;125)大幅增加到 181(39;307),主要是由于 80 岁及以上年龄组的影响。所有年龄段的与冷相关的死亡率都有所下降,但由于风险人群的增加, 年龄组的与冷相关的死亡人数仍在增加。我们估计,如果没有人口老龄化,最近十年与热和冷相关的死亡人数将分别减少 52.7%和 44.6%。
我们的研究结果表明,历史时期与温度相关的影响有相当一部分可以归因于人口老龄化。我们发现,人口老龄化减轻了与冷相关的死亡率的下降,放大了与热相关的死亡率的上升。https://doi.org/10.1289/EHP9835.