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Long Term Adaptation to Heat Stress: Shifts in the Minimum Mortality Temperature in the Netherlands

机译:长期适应热应力:荷兰最低死亡率的变化

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It is essentially unknown how humans adapt or will adapt to heat stress caused by climate change over a long-term interval. A possible indicator of adaptation may be the minimum mortality temperature (MMT), which is defined as the mean daily temperature at which the lowest mortality occurs. Another possible indicator may be the heat sensitivity, i.e., the percentage change in mortality per 1°C above the MMT threshold, or heat attributable fraction (AF), i.e., the percentage relative excess mortality above MMT. We estimated MMT and heat sensitivity/AF over a period of 23 years for older adults (≥65 years) in the Netherlands using three commonly used methods. These methods are segmented Poisson regression (SEG), constrained segmented distributed lag models (CSDL), and distributed lag non-linear models (DLNM). The mean ambient temperature increased by 0.03°C/year over the 23 year period. The calculated mean MMT over the 23-year period differed considerably between methods [16.4 ± 1.2°C (SE) (SEG), 18.9 ± 0.5°C (CSDL), and 15.3 ± 0.4°C DLNM]. MMT increased during the observed period according to CSDL (0.11 ± 0.05°C/year) and DLNM (0.15 ± 0.02°C/year), but not with SEG. The heat sensitivity, however, decreased for the latter method (0.06%/°C/year) and did not change for CSDL. Heat AF was calculated for the DLNM method and decreased with 0.07%/year. Based on these results we conclude that the susceptibility of humans to heat decreases over time, regardless which method was used, because human adaptation is shown by either an increase in MMT (CSDL and DLNM) or a decrease in heat sensitivity for unchanged MMT (SEG). Future studies should focus on what factors (e.g., physiological, behavioral, technological, or infrastructural adaptations) influence human adaptation the most, so it can be promoted through adaptation policies. Furthermore, future studies should keep in mind that the employed method influences the calculated MMT, which hampers comparability between studies.
机译:它基本上是未知人类如何适应或将适应在长期间隔内气候变化引起的热应激。适应的可能指示器可以是最小死亡率温度(MMT),其被定义为发生最低死亡率的平均日温度。另一种可能的指示剂可以是热敏感性,即每1℃的死亡率的百分比变化,或者在MMT阈值上方的每1℃变化,或可热收征级分(AF),即MMT上方相对过量死亡率的百分比。我们使用三种常用方法估计了荷兰的老年人(≥65岁)的23年的MMT和热敏性/ AF。这些方法是分段的泊松回归(SEG),受限分段分布式滞后模型(CSDL)和分布式滞后非线性模型(DLNM)。平均环境温度在23年期间增加0.03°C / +。在23年期间计算的平均MMT在方法之间大大不同[16.4±1.2℃(SE)(SEG),18.9±0.5°C(CSDL)和15.3±0.4°C DLNM]。根据CSDL(0.11±0.05°C /年)和DLNM(0.15±0.02°C /年),但没有筛选,MMT增加,但不用SEG。然而,后一种方法(0.06%/℃/年)的热敏性降低,并且对CSDL没有改变。为DLNM方法计算热量AF,随0.07%/年下降。基于这些结果,我们得出结论,无论使用哪种方法,人类对热量的易感性随着时间的推移而降低,因为通过MMT(CSDL和DLNM)的增加而显示人体适应,或者对于不变的MMT的热敏性降低(SEG )。未来的研究应该专注于哪些因素(例如,生理,行为,技术或基础设施)最多影响人类适应,因此可以通过适应政策促进它。此外,未来的研究应记住,所用方法影响计算的MMT,其妨碍了研究之间的可比性。

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