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A decreased body temperature can occur in patients with hypothermia and frostbite. Heat loss with extended cold exposure overpowers the body's ability to create heat, resulting in hypothermia. Core temperature readings help classify hypothermia. Mild hypothermia is temperatures between 32 °C (89.6 °F) and 35°C (95 °F) and is caused by impaired thermoregulation. Moderate hypothermia is temperatures between 28 C (82.4 °F) and 32 °C (89.6 °F) caused by...
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Projecting future minimum mortality temperature in China.

Lifang Luo1, Guanhao He2, Ruilin Meng3

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Future minimum mortality temperature (MMT) projections are essential for assessing climate change impacts. This study identified the 88th percentile of temperature as a key indicator for forecasting MMT, crucial for public health adaptation strategies.

Keywords:
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Area of Science:

  • Environmental Health
  • Climate Science
  • Biostatistics

Background:

  • Global warming necessitates understanding climate adaptation's effect on minimum mortality temperature (MMT).
  • Accurate MMT assessment is vital for quantifying climate change-related mortality burdens.
  • Forecasting future MMT is challenging due to the lack of projected mortality data.

Purpose of the Study:

  • To develop a novel method for projecting future MMT.
  • To identify reliable temperature indicators for MMT prediction.
  • To assess potential changes in MMT across China under different climate scenarios.

Main Methods:

  • Estimated MMT for 334 Chinese locations using distributed lag nonlinear models.
  • Applied meta-regression to link MMT with various temperature variables, including percentiles.
  • Utilized generalized linear regression to analyze MMT-temperature relationships across the 1st to 100th percentiles.

Main Results:

  • Temperatures between the 85th and 89th percentiles showed a strong association with MMT.
  • The 88th percentile of temperature was identified as the most effective MMT indicator.
  • Projected MMT is expected to rise in most of China by 2030s, 2060s, and 2090s under various Representative Concentration Pathways (RCPs).

Conclusions:

  • The 88th percentile temperature serves as a robust proxy for projecting future MMT.
  • Findings provide a valuable tool for estimating temperature-related mortality risks under climate change.
  • This approach aids in developing targeted public health interventions for climate adaptation.