Literature DB >> 18955623

The influence of meteorological factors on the occurrence of trauma and motor vehicle collisions in Tokyo.

T Abe1, Y Tokuda, S Ohde, S Ishimatsu, T Nakamura, R B Birrer.   

Abstract

BACKGROUND: Previous studies have suggested a possible association between meteorological factors and the occurrence of trauma, but with conflicting results. This study investigated the relation of the occurrence of trauma with meteorological factors, including barometric pressure, ambient temperature, relative humidity and rainfall.
METHODS: Hourly data were collected on traumatic injuries through ambulance transport records of the Tokyo Fire Department from 1 January to 31 December 2005. Hourly meteorological data for Tokyo were also collected from the Japan Meteorological Agency during the same period. A time-series analysis was performed using an autoregressive integrated moving average (ARIMA) model to control for autocorrelations in time-series data.
RESULTS: Of a total of 643,849 patients who were transported to hospitals by ambulance, there were 226,339 trauma patients, including 94,916 patients from motor vehicle collisions (42% of all trauma patients). Based on the ARIMA model, higher temperature (p<0.001), greater rainfall (p<0.05) and holidays (p<0.001) were significantly associated with the occurrence of trauma. These factors were also significantly associated with the occurrence of motor vehicle collisions. Barometric pressure and humidity were not associated with the occurrence of trauma.
CONCLUSIONS: This population-based study shows that, in addition to high temperature, rainfall and holidays are associated with the occurrence of trauma including motor vehicle collisions.

Entities:  

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Year:  2008        PMID: 18955623     DOI: 10.1136/emj.2007.056960

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  7 in total

1.  Temporal variation in major trauma admissions.

Authors:  W K M Kieffer; D V Michalik; K Gallagher; I McFadyen; J Bernard; B A Rogers
Journal:  Ann R Coll Surg Engl       Date:  2016-01-07       Impact factor: 1.891

2.  Long-term prediction of emergency department revenue and visitor volume using autoregressive integrated moving average model.

Authors:  Chieh-Fan Chen; Wen-Hsien Ho; Huei-Yin Chou; Shu-Mei Yang; I-Te Chen; Hon-Yi Shi
Journal:  Comput Math Methods Med       Date:  2011-12-04       Impact factor: 2.238

3.  The influence of foehn winds on the incidence of severe injuries in southern Bavaria - an analysis of the TraumaRegister DGU®.

Authors:  Frederik Greve; Karl-Georg Kanz; Michael Zyskowski; Francesca von Matthey; Peter Biberthaler; Stefan Muthers; Andreas Matzarakis; Rolf Lefering; Stefan Huber-Wagner
Journal:  BMC Musculoskelet Disord       Date:  2020-08-21       Impact factor: 2.362

4.  The association between meteorological variables and road traffic injuries: a study from Macao.

Authors:  Chon-Fu Lio; Hou-Hon Cheong; Chon-Hou Un; Iek-Long Lo; Shin-Yi Tsai
Journal:  PeerJ       Date:  2019-02-12       Impact factor: 2.984

5.  Descriptive analysis of patients' EMS use related to severity in Tokyo: a population-based observational study.

Authors:  Toshikazu Abe; Shinichi Ishimatsu; Yasuharu Tokuda
Journal:  PLoS One       Date:  2013-03-20       Impact factor: 3.240

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

Authors:  Yu-Chun Wang; Yu-Kai Lin
Journal:  PLoS One       Date:  2014-06-16       Impact factor: 3.240

7.  Seasonal Variation of Trauma in Western Massachusetts: Fact or Folklore?

Authors:  Jeffry Nahmias; Shiva Poola; Andrew Doben; Jane Garb; Ronald I Gross
Journal:  Trauma Surg Acute Care Open       Date:  2017-09-07
  7 in total

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