International Journal of Biometeorology

, Volume 59, Issue 11, pp 1585–1596 | Cite as

Searching for the best modeling specification for assessing the effects of temperature and humidity on health: a time series analysis in three European cities

  • Sophia Rodopoulou
  • Evangelia Samoli
  • Antonis Analitis
  • Richard W. Atkinson
  • Francesca K. de’Donato
  • Klea Katsouyanni
Original Paper

Abstract

Epidemiological time series studies suggest daily temperature and humidity are associated with adverse health effects including increased mortality and hospital admissions. However, there is no consensus over which metric or lag best describes the relationships. We investigated which temperature and humidity model specification most adequately predicted mortality in three large European cities. Daily counts of all-cause mortality, minimum, maximum and mean temperature and relative humidity and apparent temperature (a composite measure of ambient and dew point temperature) were assembled for Athens, London, and Rome for 6 years between 1999 and 2005. City-specific Poisson regression models were fitted separately for warm (April–September) and cold (October–March) periods adjusting for seasonality, air pollution, and public holidays. We investigated goodness of model fit for each metric for delayed effects up to 13 days using three model fit criteria: sum of the partial autocorrelation function, AIC, and GCV. No uniformly best index for all cities and seasonal periods was observed. The effects of temperature were uniformly shown to be more prolonged during cold periods and the majority of models suggested separate temperature and humidity variables performed better than apparent temperature in predicting mortality. Our study suggests that the nature of the effects of temperature and humidity on mortality vary between cities for unknown reasons which require further investigation but may relate to city-specific population, socioeconomic, and environmental characteristics. This may have consequences on epidemiological studies and local temperature-related warning systems.

Keywords

Ambient temperature Apparent temperature Relative humidity Distributed lags Time-series Mortality 

Abbreviations

CI

Confidence interval

Df

Degrees of freedom

ICD

International classification of diseases

NO2

Nitrogen dioxide

O3

Ozone

DLNM

Distributed lag nonlinear model

GAM

Generalized additive model

AIC

Akaike information criterion

GCV

Generalized cross-validation

PACF

Partial autocorrelation function

Notes

Conflict of interest

No competing financial interests.

Ethical standards

Our work does not involved human subjects or any experiment.

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Copyright information

© ISB 2015

Authors and Affiliations

  • Sophia Rodopoulou
    • 1
  • Evangelia Samoli
    • 1
  • Antonis Analitis
    • 1
  • Richard W. Atkinson
    • 2
  • Francesca K. de’Donato
    • 3
  • Klea Katsouyanni
    • 1
    • 4
  1. 1.Department of Hygiene, Epidemiology and Medical Statistics, Medical SchoolUniversity of AthensAthensGreece
  2. 2.Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George’sUniversity of LondonLondonUK
  3. 3.Department of EpidemiologyLazio Regional Health AuthorityRomeItaly
  4. 4.Environmental Research Group and Department of Primary Care & Public Health SciencesKing’s College LondonLondonUK

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