Heat-mortality relationship in North Carolina: Comparison using different exposure methods

Area of Science:

• Environmental Epidemiology
• Public Health
• Climate Change Adaptation

Background:

• Comparability of heat-mortality studies is limited by diverse exposure assessment methods.
• Accurate estimation of temperature exposure is critical for understanding heat-related health risks.

Purpose of the Study:

• To evaluate various temperature exposure estimation methods using individual-level data.
• To examine the impact of different exposure methods on the heat-mortality relationship.

Main Methods:

• Utilized North Carolina individual-level death data (2000-2016).
• Compared modeled, gridded temperature data with monitoring station data.
• Employed case-crossover analysis considering individual vs. county-level and measured vs. modeled temperatures.

Main Results:

• Minimum mortality temperatures varied between datasets (e.g., 23.87°C for individual monitor vs. 19.46°C for modeled individual data).
• Monitoring station data indicated higher heat-mortality risk (OR: 2.24) compared to modeled data (OR: 1.27).
• Differences in heat-mortality risk were observed based on urbanicity and the exposure method used.

Conclusions:

• Temperature exposure methods significantly influence heat-mortality risk estimates.
• Consideration of methodological differences is vital for developing effective heat-health policies.
• Findings are crucial for climate change adaptation strategies and public health planning.