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Mortality burden attributable to temperature variability in China.

Weiwei Gong1, Xing Li2, Maigeng Zhou3

  • 1Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.

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Summary
This summary is machine-generated.

Temperature variability (TV) increases premature death, with high TV causing the majority of life loss per death (LLD). This TV-related LLD varies by region and demographic factors, highlighting the need for climate change adaptation strategies.

Keywords:
Distributed lag non-linear modelMultivariate meta-analysisTemperature variabilityYears of life lost

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Area of Science:

  • Environmental epidemiology
  • Public health
  • Climate change impact assessment

Background:

  • Studies link temperature variability (TV) to mortality, but TV-attributable years of life lost (YLL) remain under-investigated.
  • Quantifying the impact of TV on premature mortality is crucial for public health planning and climate adaptation.

Approach:

  • Utilized daily death and meteorological data from 364 Chinese counties (2006-2017).
  • Employed a distributed lag non-linear model (DLNM) and meta-analysis to assess TV's effect on YLL rates and life loss per death (LLD).

Key Points:

  • U-shaped association observed between TV and YLL rates, with a minimum YLL TV of 2.5°C.
  • An average of 0.89 LLD was attributed to TV, predominantly from high TV.
  • Higher LLD from TV observed in younger populations (<65 years), cerebrovascular diseases, and Southern China.

Conclusions:

  • Both high and low TV increase premature mortality, with high TV contributing most to LLD.
  • TV-related mortality burden is influenced by local characteristics like temperature, humidity, and socioeconomic factors.
  • TV must be considered in climate change adaptation strategies to mitigate public health risks.