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![]() Journal of Environmental Protection, 2011, 2, 72-75 doi:10.4236/jep.2011.21007 Published Online March 2011 (http://www.SciRP.org/journal/jep) Copyright © 2011 SciRes. JEP Higher Temperatures Were Closely Associated with Higher Ambulance Transports in Takamatsu Area, Japan Nobuyuki Miyatake1, Masaki Nakao2, Noriko Sakano1, Shigeru Suna3, Takeshi Suzue4, Tomohiro Hirao4 1Department of Hygiene, Faculty of Medicine, Kagawa University, Miki, Kagawa, Japan; 2Graduate School of Engineering, Osaka City University, Osaka, Japan; 3Kagawa Prefectural College of Health Sciences, Japan; 4Department of Public Health, Faculty of Medicine, Kagawa University, Miki, Kagawa, Japan. Email: [email protected] Received October 22nd, 2010; revised December 9th, 2010; accepted January 17th, 2011. ABSTRACT The link between high temperatures and ambulance transports in Takamatsu area, Japan was investigated. Monthly observations for ambulance transports (2004-2008) were obtained from Fire Department Service in Takamatsu. Data of temperatures in Takamatsu area, Japan (2004-2008) were used by Japan Meteorological Agency. Effect of high temperatures on ambulance transports was analyzed. By using data from July to September, there were not clear dif- ferences of mean temperatures and ambulance transports among years. Ambulance transports were significantly cor- related with parameters of temperatures. Correlation coefficient rate between ambulance transports and the mean temperature of maximum temperatures in a month was highest among parameters (r = 0.738, p = 0.0017). In add ition, ambulance transports were also significantly correlated with the number of days over the level of 32˚C in a month (r = 0.782, p = 0.0006). Higher temperatures were closely associated with higher ambulance transports in Takamatsu area, Japan. Keywords: Te mperature, Ambulance Transports, Takamatsu Area, Fire Department Service in Takamatsu, Japan Meteorological Agency 1. Introduction Global average temperatures are projected to increase between 1.4 and 5.8˚C by the end of this century [1]. On local and regional scales, changes in land cover can sometimes exacerbate the effect of greenhouse-gas-in- duced warming, or even exert the largest impact on cli- matic conditions. Most cities show a large heat island effect, registering 5-11˚C warmer than surrounding rural areas [2]. An increase in mortality related to heat waves has been reported from various industrialized countries [3-5]. The number of patients with heat stroke is surveyed by National Institute for Environmental Studies in several cities, except Takamatsu area, in Japan [6]. An increase in summer temperatures is likely to increase the number of patients with high temperatures related diseases. Therefore, it is timely to assess local evidence of acute health effects of high temperatures in Takamatsu area, Japan. In this study, to address this issue, we investigated monthly ambulance use and its relation to high tempera- tures in 5 summers in Takamatsu area, Japan. 2. Methods 2.1. Study Area Takamatsu area, Kagawa prefecture, Japan, which in- cludes Takamatsu city, Miki-cho and Ayagawa-cho, is on the northern shor e of Shikoku Is land ( in a temperate zo n e area). The populatio n of Kagawa prefecture is 1 000 000 and 470 000 people are situated on the Takamatsu area. Currently several public offices of Shikoku district are located in Takamatsu city. Although the surrounds of Takamatsu had been used primarily as paddy fields for agriculture, recently they have undergone rapid changes, developing into residential and/or commercial areas. The area’s emergency medical services are managed by Fire ![]() Higher Temperatures Were Closely Associated with Higher Ambulance Transports in Takamatsu Area, Japan73 Department Service in Takamatsu and 14 ambulances were in use in 2008 [7]. 2.2. Ambulance Data Monthly incidence data of ambulance transports was obtained from Fire Department Service in Takamatsu from July to September for 5 years (2004-2008) [7]. We excluded the number of other ambulance transports i.e. traffic accidents, fire accidents and injuries, and the number of ambulance transports (per a month per ten thousand persons) by acute diseases [8] was used for analysis. 2.3. Temperatures Daily and monthly temperatures in Takamatsu area, Ja- pan for the required periods were obtained from Taka- matsu Local Meteorological Observatory, Japan Mete- orological Agency [9]. Mean temperature in a month, mea n tempe ratur e of maxi mum temperatures in a month, mean temperature of minimum temperatures in a month, maximum temperature in a month, minimum temperature in a month and the number of days over the level of var- ious temperatures in a month were used for analysis. 2.4. Statistical Analysis Simple correlation analysis was used to test the signifi- cance of the linear relationship among continuous vari- ables: p < 0.05 was considered to be statistically signifi- cant. 3. Results Changes in mean temperature in a month are summarized in Figure 1. There were not clear differences of mean temperature in a month for 5 years. There were not also clear differences of ambulance transports (per a month per ten thousand persons) for 5 years (Figure 2). We investigate the relationship between ambulance transports and parameters of temperatures from July to September for 5 years (2004-2008) in Takamatsu area, Japan (Table 1). Ambulance transports were signifi- cantly correlated with parameters of temperatures. Cor- relation coefficient rate between ambulance transports and mean temperature of maximum temperatures in a month was highest among parameters (r = 0.738, p = 0.0017). The slope of the regression line (changes in mean temperature of maximum temperatures in a month vs changes in ambulance transports) was 0.597 (Figure 3). Accordingly, we found that a 1˚C in mean tempera- ture of maximum temperatures in a month corresponded to a 0.597 increase in ambulance transports (per a month per ten thousand persons) in Takamatsu area. In addition, the relation between ambulance transports and the number of days of over the level of various tem- Table 1. Simple correlation analysis between ambulance transports and parameters of temperatures in Takamatsu area, Japan. r p Mean temperature in a month 0.7280.0021 Mean tem perat ure of m axim um tem per at ures i n a m ont h 0.7380.0017 Mean tem perat ure of m inim um tem per at ures i n a m ont h 0.6680.0065 maximum temperature in a month 0.6930.0042 minimum temperature in a month 0.5550.0318 Figure 1. Changes in mean temperature (2004-2008). Figure 2. Changes in ambulance transports (2004-2008) (per a month per ten thousand persons). Figure 3. Simple correlation analysis between ambulance transports and mean temperature in a month. Copyright © 2011 SciRes. JEP ![]() Higher Temperatures Were Closely Associated with Higher Ambulance Transports in Takamatsu Area, Japan 74 peratures was also evaluated (Table 2). Ambulance transports were significantly correlated with the number of days of over the level of various temperatures, espe- cially over the level of 32˚C (r = 0.782, p = 0.0006) (Figure 4). 4. Discussion We firstly investigated the link between ambulance tran- sports and parameters of temperatures in Takamatsu area, Japan. Ambulance transports were significantly associ- ated with high temperatures. In some literatures, the relation between high tem- peratures and heat stroke in Japan [10-12]. Nakai et al. investigated heat-related deaths in Japan from 1968 through 1994 and heat-related deaths were most prone to occur on days with a peak daily temperature above 38 degrees [10]. In addition, they reported that incidence of heat- related deaths showed and exponential dependence on the number of hot days [10]. Qui et al. reported that an unusually hot spell in 1999 was followed by a high mor- tality rate in Hokkaido , Japan [11]. Bai et al. also showed that the number of un usual deaths in the summer of 1994 in Osaka, Japan was more compared to those of previous years [12]. The human body dissipates heat in four ways: convection, conduction, radiation and water evaporation. When the temperature of the surrounding environment is higher than the body temperature, water evaporation is the only way in which the body can dissipate heat. When the air temperature is over 34 degrees, cardiovascular and nervous disorders can occur as a result of problems asso- ciated with body temperature adjustment and metabolism of water and salts [11]. Unexpectedly high temperatures are particularly difficult for the elderly [13,14], and chronic diseases [15]. In this study, we investigated the relationship between ambulance transports and parame- ters of temperatures, and close relationship was noted between ambulance transports and high temperatures in Takamatsu area, Japan. Although, we could not directly evaluate the heat-related diseases or deaths, it seems reasonable to suggest that simply dealing with high tem- peratures in summer in Takamatsu city i.e. inno vation of the thermal energy metabolism in cities and individual coping with high temperatures might result in the ame- lioration of ambulance transports in Takamatsu area, Japan. Potential limitation s still remain in this study. First, the link between ambulance transports and temperatures, which was noted in th is study, may not apply for the link among individuals. Second, we could not directly evalu- ate heat-related diseases or deaths. Third, daily data of ambulance transports could not obtained in this study. Therefore, we could not accurately evaluate the link be- tween ambulance transports and high temperatures. Fur- Table 2. Simple correlation analysis between ambulance transports and number of days over the level of various temperatures in a month. r p Number of days over 30˚C 0.682 0.0051 Number of days over 31˚C 0.778 0.0006 Number of days over 32˚C 0.782 0.0006 Number of days over 33˚C 0.723 0.0023 Number of days over 34˚C 0.677 0.0056 Number of days over 35˚C 0.644 0.0006 Figure 4. Simple correlation analysis between ambulance transports and the number of days over the level of various temperatures. ther studies are required to prove such link. REFERENCES [1] “The Scientific Basis: Contribution of Working Group 1 to the Third Assessment Report,” Intergovernmental Panel on Climate Change, Climate Change 2001, Cam- bridge University Press, Cambridge, 2001, pp. 1-944. [2] C. Aniello, K. Morgan, A. Busbey and L. Newland, “Mapping Micro-Urban Heat Islands Using LANDSAT TM and a GIS,” Computers & Geosciences, Vol. 21, No. 8, October 1995, pp. 965-969. doi:10.1016/0098-3004(95)00033-5 [3] K. E. Smoyer, “A Comparative Analysis of Heat Waves and Associated Mortality in St. Louis, Missouri - 1980 and 1995,” International Journal of Biometeorology, Vol. 42, No. 1, September 1998, pp. 44-50. doi:10.1007/s004840050082 [4] W. B. Applegate, J. W. Jr. Runyan, L. Brasfield, M. L. Williams, C. Konigsberg and C. Fouche, “Analysis of the 1980 Heat Wave in Memphis,” Journal of the American Geriatrics Society, Vol. 29, No. 8, August 1981, pp. 337- Copyright © 2011 SciRes. JEP ![]() Higher Temperatures Were Closely Associated with Higher Ambulance Transports in Takamatsu Area, Japan Copyright © 2011 SciRes. JEP 75 342. [5] M. Lye and A. Kamal, “Effects of a Heatwave on Mortal- ity-Rates in Elderly Inpatients,” Lancet, Vol. 1, No. 8010, March 1977, pp. 529-531. doi:10.1016/S0140-6736(77)91385-X [6] “National Institute for Environmental Studies,” 2010. Int er n e t A va il ab l e:http://www.nies.go.jp/health/HeatStro ke/spot/index.html#at1 (in Japanese) [7] “Fire Department Service in Takamatsu, Japan,” 2010. Internet Available: http://www.city.takamatsu.kagawa.jp/ 10991.html (in Japanese) [8] “Fire and Disaster Management Agency,” 2010. Internet Available: http://aeml.umin.ac.jp/hou/0690.html (in Jap- anese). [9] “Japan Meteorological Agency,” 2010. Internet Available: http://www.data.jma.go.jp/obd/stats/etrn/index.php?prec_ no=72&prec_ch=%8D%81%90%EC%8C%A7&block_n o=47891&block_ch=%8D%82%8F%BC&year=&month =&day=&view= (in Japanese) [10] S. Nakai, T. Itoh and T. Morimoto, “Deaths from Heat-Stroke in Japan: 1968-1994,” International Journal of Biometeorology, Vol. 43, No. 3, November 1999, pp. 124-127. doi:10.1007/s004840050127 [11] D. Qiu, T. Tanihata, H. Aoyama, T. Fujita, Y. Inaba and M. 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