Association between temperature and emergency room visits for cardiorespiratory diseases, metabolic syndrome-related diseases, and accidents in metropolitan Taipei

PLoS One. 2014 Jun 16;9(6):e99599. doi: 10.1371/journal.pone.0099599. eCollection 2014.

Abstract

Objective: This study evaluated risks of the emergency room visits (ERV) for cerebrovascular diseases, heart diseases, ischemic heart disease, hypertensive diseases, chronic renal failure (CRF), diabetes mellitus (DM), asthma, chronic airway obstruction not elsewhere classified (CAO), and accidents associated with the ambient temperature from 2000 to 2009 in metropolitan Taipei.

Methods: The distributed lag non-linear model was used to estimate the cumulative relative risk (RR) and confidence interval (CI) of cause-specific ERV associated with daily temperature from lag 0 to lag 3 after controlling for potential confounders.

Results: This study identified that temperatures related to the lowest risk of ERV was 26 °C for cerebrovascular diseases, 18 °C for CRF, DM, and accidents, and 30 °C for hypertensive diseases, asthma, and CAO. These temperatures were used as the reference temperatures to measure RR for the corresponding diseases. A low temperature (14°C) increased the ERV risk for cerebrovascular diseases, hypertensive diseases, and asthma, with respective cumulative 4-day RRs of 1.56 (95% CI: 1.23, 1.97), 1.78 (95% CI: 1.37, 2.34), and 2.93 (95% CI: 1.26, 6.79). The effects were greater on, or after, lag one. At 32°C, the cumulative 4-day RR for ERV was significant for CRF (RR = 2.36; 95% CI: 1.33, 4.19) and accidents (RR = 1.23; 95% CI: 1.14, 1.33) and the highest RR was seen on lag 0 for CRF (RR = 1.69; 95% CI: 1.01, 3.58), DM (RR = 1.69; 95% CI: 1.09, 2.61), and accidents (RR = 1.19; 95% CI: 1.11, 1.27).

Conclusions: Higher temperatures are associated with the increased ERV risks for CRF, DM, and accidents and lower temperatures with the increased ERV risks for cerebrovascular diseases, hypertensive diseases, and asthma in the subtropical metropolitan.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents / statistics & numerical data*
  • Air Pollution / statistics & numerical data
  • Cardiovascular Diseases / epidemiology*
  • Climate
  • Confidence Intervals
  • Confounding Factors, Epidemiologic
  • Emergencies
  • Emergency Service, Hospital / statistics & numerical data*
  • Hospitals, Urban / statistics & numerical data*
  • Humans
  • Insurance, Health, Reimbursement / statistics & numerical data
  • International Classification of Diseases
  • Metabolic Syndrome / epidemiology*
  • Models, Theoretical
  • Nonlinear Dynamics
  • Respiration Disorders / epidemiology*
  • Risk
  • Taiwan
  • Temperature*
  • Time Factors

Grants and funding

The present study was supported by the Taiwan National Science Council (grants NSC 99-2221-E-033-052, NSC 100-2621-M-039-001 and NSC 102-2621-M-033-001). All the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.