Temperature variability and asthma hospitalisation in Brazil, 2000-2015: a nationwide case-crossover study

Thorax. 2021 Oct;76(10):962-969. doi: 10.1136/thoraxjnl-2020-216549. Epub 2021 Mar 23.

Abstract

Background: Both cold and hot temperature have been associated with the onset of asthma, but it remains largely unknown about the risk of asthma hospitalisation associated with short-term temperature fluctuation or temperature variability (TV).

Objective: To explore the association between short-term exposure to TV and asthma hospitalisation in Brazil.

Methods: Data for asthma hospitalisation and weather conditions were collected from 1816 Brazilian cities between 2000 and 2015. TV was calculated as the SD of all daily minimum and maximum temperatures within 0-7 days prior to current day. A time-stratified case-crossover design was performed to quantify the association between TV and hospitalisation for asthma.

Results: A total of 2 818 911 hospitalisations for asthma were identified during the study period. Each 1°C increase in 0-7 days' TV exposure was related to a 1.0% (95% CI 0.7% to 1.4%) increase in asthma hospitalisations. The elderly were more vulnerable to TV than other age groups, while region and season appeared to significantly modify the associations. There were 159 305 (95% CI 55 293 to 2 58 054) hospitalisations, US$48.41 million (95% CI US$16.92 to US$78.30 million) inpatient costs at 2015 price and 450.44 thousand inpatient days (95% CI 156.08 to 729.91 thousand days) associated with TV during the study period. The fraction of asthma hospitalisations attributable to TV increased from 5.32% in 2000 to 5.88% in 2015.

Conclusion: TV was significantly associated with asthma hospitalisation and the corresponding substantial health costs in Brazil. Our findings suggest that preventive measures of asthma should take TV into account.

Keywords: asthma epidemiology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Asthma* / epidemiology
  • Brazil / epidemiology
  • Cross-Over Studies
  • Environmental Exposure* / analysis
  • Hospitalization
  • Humans
  • Seasons
  • Temperature