Ambient temperature and non-accidental mortality: a time series study.

Area of Science:

• Environmental Health
• Epidemiology
• Climate Change Research

Background:

• Global climate change presents significant public health challenges.
• Understanding the impact of temperature variations on mortality is crucial for health policy.
• Daily temperature fluctuations and range are key environmental factors influencing health outcomes.

Purpose of the Study:

• To investigate the association between daily mean temperature and diurnal temperature range (DTR) with non-accidental mortality.
• To quantify the relative risk (RR) of mortality associated with specific temperature metrics.
• To identify vulnerable populations susceptible to temperature-related mortality risks.

Main Methods:

• Utilized a Poisson generalized linear model (PGLM) integrated with a distributed lag non-linear model (DLNM).
• Adjusted for confounding factors including relative humidity and major air pollutants.
• Calculated relative risks (RR) comparing 75th percentiles of temperature metrics to their lowest risk values.

Main Results:

• A U-shaped relationship was observed between daily mean temperature and non-accidental mortality.
• A 1.8% increase in mortality was linked to a daily mean temperature of 24.4°C (reference 20°C).
• A 1.4% increase in mortality was observed on lag 6 day with a DTR of 11.3°C (reference 7°C).
• The elderly (≥65 years) and females demonstrated increased susceptibility to temperature effects.

Conclusions:

• Daily mean temperature and DTR are significantly associated with non-accidental mortality, exhibiting delayed effects.
• Both temperature metrics pose risks, with the elderly and females being particularly vulnerable.
• Findings highlight the need for public health strategies to mitigate climate change-related mortality risks.