Temperature variation between neighboring days and mortality: a distributed lag non-linear analysis.

Area of Science:

• Environmental Health
• Epidemiology
• Climate Science

Background:

• Climate change necessitates understanding extreme weather impacts.
• Daily temperature fluctuations are a critical, understudied environmental stressor.
• Subtropical regions face unique challenges from temperature variability.

Purpose of the Study:

• To quantify the association between daily temperature changes and mortality.
• To investigate differential impacts across age and sex demographics.
• To inform public health interventions for climate-related risks.

Main Methods:

• Utilized Poisson generalized linear regression and distributed lag non-linear models.
• Analyzed daily mortality data from a subtropical Chinese city (2008-2012).
• Calculated temperature change as the difference between consecutive days' temperatures.

Main Results:

• Significant associations were found between daily temperature change and mortality.
• Temperature increases correlated with higher non-accidental and cardiovascular mortality.
• Temperature decreases showed a protective effect on non-accidental and cardiovascular mortality, particularly in males and individuals aged 65+.

Conclusions:

• Daily temperature variation poses a significant adverse health risk.
• Temperature increases between days are linked to increased mortality.
• Future climate change mitigation must consider daily temperature fluctuations.