Influenza epidemics, seasonality, and the effects of cold weather on cardiac mortality

Stephanie von Klot1, Antonella Zanobetti, Joel Schwartz

  • 1Department of Environmental Health, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, USA.

Insights

Seasonal influenza epidemics significantly explain winter cardiac deaths, allowing for more parsimonious statistical models. Cold temperatures

Area of Science:

  • Environmental epidemiology
  • Public health surveillance
  • Cardiovascular disease research

Background:

  • Winter seasonality is linked to increased cardiac disease mortality.
  • Competing hypotheses exist for this seasonal pattern.
  • The study investigates the role of influenza epidemics in seasonal cardiac deaths.

Purpose of the Study:

  • To quantify the contribution of influenza epidemics to seasonal cardiac mortality.
  • To assess if influenza data allows for more parsimonious seasonal adjustment than traditional methods.
  • To determine if accounting for influenza affects the association between temperature and cardiac events.

Main Methods:

  • Utilized daily cardiac death counts and elderly influenza hospital admission data (1992-2000) across 48 US cities.
  • Employed quasi-Poisson regression models to analyze associations between daily cardiac mortality and temperature.
  • Compared models with and without influenza epidemic data for seasonal adjustment.

Main Results:

  • Controlling for influenza admissions resulted in more parsimonious models with improved statistical fit (better GCV, lower serial correlation).
  • Influenza epidemics accounted for approximately 2.3% of cardiac deaths during the study period.
  • The association between cold temperature (0 to -5°C) and cardiac mortality risk (1.6% increase) was not significantly altered by adjusting for influenza.

Conclusions:

  • Influenza epidemic data explained a substantial portion (18%) of the irregular seasonal variation in cardiac deaths.
  • Incorporating epidemic data enabled more parsimonious modeling compared to using time-based smooth functions alone.
  • The impact of cold ambient temperature on cardiac mortality is not confounded by influenza epidemics.
Abstract

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