Literature DB >> 21432083

Determination of optimum daily maximum temperature using climate data.

Yasushi Honda1, Michinori Kabuto, Masaji Ono, Iwao Uchiyama.   

Abstract

OBJECTIVE: The relation between daily maximum temperature and mortality rate has a V-shaped pattern; the mortality rate is lowest at a certain temperature, that is, optimum temperature (OT), and the mortality rate increases when the temperature becomes higher or lower than OT. OT is associated with climate, but the relation between OT and long-term average temperature, which is a frequently used index of climate, had an outlier (Okinawa) even in Japan alone. Our objective is to determine the best climate index for OT estimation.
METHODS: We obtained death certificate data, meteorological data and population data for Japan from relevant government ministries. All the data obtained were from 1972 to 1995 except for Okinawa's mortality data (1973 to 1995). Using smoothing spline with the degree of freedom fixed to 6, we computed the OTs for 47 prefectures in Japan. These OTs were exhaustively compared with percentiles of daily maximum, average, and minimum temperatures, along with the long-term average temperature.
RESULTS: Among the candidates of the best climate index, 80 and 85 percentiles of daily maximum temperatures (Tmax80 and Tmax85) showed the highest correlation coefficient with OT (R>0.9, much higher than the R for the long-term average temperature, i.e., 0.63), and the regression models using Tmax80 and Tmax85 best regressed the OT, that is, the difference between the observed OT and the expected OT was smallest when Tmax80 or Tmax85 was used. Unlike previously used average of daily mean temperature, Tmax80 and Tmax85 made Okinawa a nonoutlier. This characteristic is desirable because Okinawa's being an outlier is due to its maritime climate and the capacity to accommodate a different type of climate may expand the applicability of OT estimation method to wider regions in the world. A direct comparison of OT with Tmax75 to Tmax90 revealed that the difference is smallest for the percentile between Tmax80 and Tmax85.
CONCLUSION: We considered that a daily maximum temperature between Tmax80 and Tmax85 is the best climate index for estimating OT in Japan.

Keywords:  Japan; climate; global warming; mortality; optimum daily maximum temperature

Year:  2007        PMID: 21432083      PMCID: PMC2723377          DOI: 10.1265/ehpm.12.209

Source DB:  PubMed          Journal:  Environ Health Prev Med        ISSN: 1342-078X            Impact factor:   3.674


  7 in total

1.  Temperature and mortality in 11 cities of the eastern United States.

Authors:  Frank C Curriero; Karlyn S Heiner; Jonathan M Samet; Scott L Zeger; Lisa Strug; Jonathan A Patz
Journal:  Am J Epidemiol       Date:  2002-01-01       Impact factor: 4.897

2.  Heat related mortality in warm and cold regions of Europe: observational study.

Authors:  W R Keatinge; G C Donaldson; E Cordioli; M Martinelli; A E Kunst; J P Mackenbach; S Nayha; I Vuori
Journal:  BMJ       Date:  2000-09-16

Review 3.  Impact of regional climate change on human health.

Authors:  Jonathan A Patz; Diarmid Campbell-Lendrum; Tracey Holloway; Jonathan A Foley
Journal:  Nature       Date:  2005-11-17       Impact factor: 49.962

4.  Mortality displacement of heat-related deaths: a comparison of Delhi, São Paulo, and London.

Authors:  Shakoor Hajat; Ben G Armstrong; Nelson Gouveia; Paul Wilkinson
Journal:  Epidemiology       Date:  2005-09       Impact factor: 4.822

5.  Relationship between weather temperature and mortality: a time series analysis approach in Barcelona.

Authors:  M Saez; J Sunyer; J Castellsagué; C Murillo; J M Antó
Journal:  Int J Epidemiol       Date:  1995-06       Impact factor: 7.196

6.  [Relationship between daily high temperature and mortality in Kyushu, Japan].

Authors:  Y Honda; M Ono; A Sasaki; I Uchiyama
Journal:  Nihon Koshu Eisei Zasshi       Date:  1995-04

7.  Environment, temperature and death rates.

Authors:  G M Bull; J Morton
Journal:  Age Ageing       Date:  1978-11       Impact factor: 10.668

  7 in total
  13 in total

1.  Heat-related mortality risk model for climate change impact projection.

Authors:  Yasushi Honda; Masahide Kondo; Glenn McGregor; Ho Kim; Yue-Leon Guo; Yasuaki Hijioka; Minoru Yoshikawa; Kazutaka Oka; Saneyuki Takano; Simon Hales; R Sari Kovats
Journal:  Environ Health Prev Med       Date:  2013-08-09       Impact factor: 3.674

2.  Population at high-risk of indoor heatstroke: the usage of cooling appliances among urban elderlies in Japan.

Authors:  Masahide Kondo; Masaji Ono; Kouichi Nakazawa; Momoko Kayaba; Emiko Minakuchi; Kazutoshi Sugimoto; Yasushi Honda
Journal:  Environ Health Prev Med       Date:  2012-11-17       Impact factor: 3.674

Review 3.  The effect of global warming on infectious diseases.

Authors:  Ichiro Kurane
Journal:  Osong Public Health Res Perspect       Date:  2010-12-07

4.  Sociogeographic variation in the effects of heat and cold on daily mortality in Japan.

Authors:  Chris Fook Sheng Ng; Kayo Ueda; Ayano Takeuchi; Hiroshi Nitta; Shoko Konishi; Rinako Bagrowicz; Chiho Watanabe; Akinori Takami
Journal:  J Epidemiol       Date:  2013-12-07       Impact factor: 3.211

5.  Heat-attributable deaths between 1992 and 2009 in Seoul, South Korea.

Authors:  Clara T Kim; Youn-Hee Lim; Alistair Woodward; Ho Kim
Journal:  PLoS One       Date:  2015-02-18       Impact factor: 3.240

6.  Issues in health risk assessment of current and future heat extremes.

Authors:  Yasushi Honda; Masaji Ono
Journal:  Glob Health Action       Date:  2009-11-11       Impact factor: 2.640

7.  The impact of climate change on heat-related mortality in six major cities, South Korea, under representative concentration pathways (RCPs).

Authors:  Young-Min Kim; Soyeon Kim; Yang Liu
Journal:  Front Environ Sci       Date:  2014-02-19

8.  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

9.  Adaptation to Climate Change: A Comparative Analysis of Modeling Methods for Heat-Related Mortality.

Authors:  Simon N Gosling; David M Hondula; Aditi Bunker; Dolores Ibarreta; Junguo Liu; Xinxin Zhang; Rainer Sauerborn
Journal:  Environ Health Perspect       Date:  2017-08-16       Impact factor: 9.031

10.  Effects of high ambient temperature on ambulance dispatches in different age groups in Fukuoka, Japan.

Authors:  Kazuya Kotani; Kayo Ueda; Xerxes Seposo; Shusuke Yasukochi; Hiroko Matsumoto; Masaji Ono; Akiko Honda; Hirohisa Takano
Journal:  Glob Health Action       Date:  2018       Impact factor: 2.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.