Relationship between Air Temperature Parameters and the Number of Deaths Stratified by Cause in Gifu Prefecture, Japan
by
and
Masaki Bando
1,2,*, 
Nobuyuki Miyatake
1,
Hiroaki Kataoka
3,
Hiroshi Kinoshita
4,
Naoko Tanaka
4,
Hiromi Suzuki
1 and
Akihiko Katayama
5 1
Department of Hygiene, Faculty of Medicine, Kagawa University, Miki-cho, Kagawa 761-0793, Japan
2
Department of Physical Therapy A College of Kenshokai Academy, Tokushima city, Tokushima 760-0093, Japan
3
Department of Physical Therapy, Okayama Institute for Medical and Technical Sciences, Okayama city, Okayama 700-0913, Japan
4
Department of Forensic Medicine, Faculty of Medicine, Kagawa University, Miki-cho, Kagawa 761-0793, Japan
5
Faculty of Social Studies, Shikokugakuin University, Zentsuji city, Kagawa 765-0013, Japan
*
Author to whom correspondence should be addressed.
Healthcare 2020, 8(1), 35; https://doi.org/10.3390/healthcare8010035
Submission received: 17 January 2020
/
Revised: 1 February 2020
/
Accepted: 6 February 2020
/
Published: 7 February 2020
(This article belongs to the Section Environmental Factors and Global Health)
Abstract
:Objective: It is well known that air temperature is closely related to health outcomes. We investigated the relationship between air temperature parameters and the number of deaths stratified by cause in Gifu prefecture, Japan. Methods: The number of deaths stratified by cause in Gifu prefecture Japan between January 2007 and December 2016 was obtained from the official homepage of Gifu prefecture, Japan. Air temperature parameters (°C), i.e., the mean air temperature, mean of the highest air temperature, mean of the lowest air temperature, the highest air temperature, and the lowest air temperature during the same period in Gifu city were also obtained from the Japan Meteorological Agency official home page. The relationship between air temperature parameters and the number of deaths was evaluated in an ecological study. Results: The number of deaths due to heart disease, cerebrovascular disease, pneumonia, accidents, or renal failure in January (coldest winter season in Japan) was the highest among the months. Simple correlation analysis also demonstrated a significant and negative relationship between air temperature parameters and the number of deaths due to heart disease, cerebrovascular disease, senility, pneumonia, accidents, and renal failure. Conclusion: Lower air temperature may be associated with a higher number of deaths due to diseases in Gifu prefecture, Japan.
1. Introduction
Many studies in the literature showed that environmental factors, including humidity [1], daylight hours [2], and air pollutions [3], are associated with health outcomes. In addition, it is well known that meteorological parameters, especially air temperature, are closely related to health outcomes, i.e., heart disease [4,5,6,7,8,9], cerebrovascular disease [10,11], pneumonia [12,13,14,15], and others [16]. In Japan, there are four seasons, including spring, summer, autumn, and winter, resulting in meteorological flections. We previously reported a significant relationship between air temperature and the total number of deaths, but not the number of deaths stratified by causes in Sakata city [17], Takamatsu city [18], Asahikawa city [19], and all 47 prefectures of Japan [20]. The number of ambulance transports was found to be associated with air temperature, and lower air temperature (winter season) was also closely associated with a higher total number of deaths [17,18,19,20]. Therefore, an effective strategy to prevent deaths affected by air temperature is required in Japan.
Air temperature has been reported to have a clinical impact on heart disease [4,5,6,7,8,9], cerebrovascular disease [10,11], and pneumonia [12,13,14,15]. However, many of these studies, including our previous reports, investigated the relationship between specific diseases and metrological parameters. In addition, many of these studies were performed in foreign countries [4,5,6,7,8,10,11,12,13,14,15]. Thus, few studies have evaluated the relationship between air temperature parameters and the number of deaths stratified by cause in Japan [21]. If we clarify these relationships, possible strategies to prevent deaths affected by lower air temperature could be recommended in Japan.
In this ecological study, we evaluated the relationship between air temperature parameters and the number of deaths stratified by cause in Gifu prefecture, Japan.
2. Methods
2.1. Study Area
Gifu prefecture, which is centrally located in Japan and surrounded by mountains, has over 2,000,000 people living in an area of approximately 10,621 km2. The population density was approximately 191 people/km2 in 2015 [22].
2.2. Number of Deaths
The number of deaths stratified by cause in Gifu prefecture, Japan, between January 2007 and December 2016, was obtained from the official home page of Gifu prefecture, Japan [23]. We used the total number of deaths in all ages due to malignant neoplasm, heart disease, cerebrovascular disease, senility, pneumonia, accidents, including traffic accidents and others, aspiration pneumonitis, renal failure, and vascular and unspecified dementia, according to the rank of the entire Japanese population in 2018 [24]. However, we were unable to include the number of deaths due to aspiration pneumonia because the collection method changed in 2017. The population during the same period in Gifu prefecture [23] was also used to adjust the number of deaths. The number of deaths stratified by cause, which was adjusted by population and the number of days per month, was used for analysis.
2.3. Air Temperature Parameters
Air temperature parameters (℃), i.e., the mean air temperature, mean of the highest air temperature, mean of the lowest air temperature, the highest air temperature, and the lowest air temperature during the same period in Gifu city, were obtained from the Japan Meteorological Agency official home page [25]. The observation spot was located almost in the center of Gifu prefecture.
2.4. Ethics
For this ecological study, the number of deaths stratified by cause and the air temperature parameters were obtained from the official homepage. The ethics committee of Shikoku Gakuin University approved this study (approval number: 2019003, approval date: 11 December 2019).
2.5. Statistical Analysis
Data were expressed as the mean ± standard deviation (SD). The number of deaths by month was compared using the Kruskal–Wallis test and Steel test, with p < 0.05 being considered significant. The relationships between the number of deaths and air temperature parameters were evaluated by simple correlation analysis. Statistical analysis was performed using JMP Pro version 14 (SAS Institute Inc., Cary, NC, USA).
3. Results
The air temperature profiles in Gifu prefecture, Japan, are summarized in Table 1. The mean air temperature was 16.3 ± 8.3 ℃. The highest and lowest air temperatures were 26.9 ± 8.1 ℃ and 7.1 ± 8.5 ℃, respectively. The number of deaths stratified by cause in Gifu prefecture, Japan, is shown in Table 2. The total number of deaths was 2.62 ± 0.48 (/one hundred thousand people/day). The causes of death in Gifu prefecture were (1) malignant neoplasm, (2) heart disease, (3) cerebrovascular disease, (4) pneumonia, (5) senility, (6) accidents, (8) suicide, (9) renal failure, and (10) vascular and unspecified dementia, in this order.
Next, we compared the number of deaths stratified by cause, as shown in Table 3. The mean air temperature in January (winter season) was the lowest among the months. The number of deaths in January (winter season) was the highest among the months, and the main causes of death were heart disease, cerebrovascular disease, pneumonia, accidents, and renal failure. The total number of deaths in January (winter season) was significantly higher than that from May to October. The number of deaths due to heart disease in January (winter season) was significantly higher than that from March to December. The number of deaths due to cerebrovascular disease and pneumonia in January (winter season) was significantly higher than that from April to October. The number of deaths due to accidents in January (winter season) was significantly higher than that from March to November. The number of deaths due to renal failure in January (winter season) was significantly higher than that from March to October.
The simple correlation analysis of the number of deaths stratified by cause and mean air temperature is shown in Table 4. Negative relationships were noted between the mean air temperature and heart disease, cerebrovascular disease, senility, pneumonia, accidents, and renal failure. In addition, we further analyzed the number of deaths stratified by cause and all air temperature parameters in both sexes (Table 5). The number of deaths due to heart disease, cerebrovascular disease, senility, pneumonia, accidents, or renal failure was significantly and negatively related to all air temperature parameters in both men and women. Regarding death by suicide, the mean of the highest air temperature and the highest air temperature were significantly and positively correlated with the number of deaths only in women. Regarding vascular and unspecified dementia, the mean air temperature, mean of the highest air temperature, and the lowest air temperature were negatively associated with the number of deaths only in men.
4. Discussion
In this study, we evaluated the relationship between the number of deaths stratified by cause and air temperature parameters in Gifu prefecture, Japan. The number of deaths due to heart disease, cerebrovascular disease, senility, pneumonia, accidents, and renal failure was significantly negatively correlated with air temperature parameters.
There have been many reports on the relationship between the number of deaths and air temperature. Analitis et al. reported that a 1 ℃ decrease in air temperature corresponds to a 1.35% increase in the total number of deaths, and a 1.72%, 3.3%, and 1.25% increase in the number of deaths due to cardiovascular disease, respiratory disease, and cerebrovascular disease in 15 European cities by using data from 1990–2000 [5]. Wanitschek et al. also found that a 7.5 ℃ increase in air temperature in winter reduces the incidence of acute cerebrovascular disease [4]. In Japan, the incidence of acute myocardial infarction is closely associated with lower air temperature, especially lower than 10 ℃ [9]. Chaochen et al. reported that the temperature variability was closely associated with senility [26]. In addition, we previously confirmed that the incidence of accidental death, including asphyxia [27], drowning [28], falls [29], cold [30], and fire [31], is closely associated with lower air temperature. In this study, we found a significant relationship between air temperature parameters and the number of deaths due to heart disease, cerebrovascular disease, senility, pneumonia, and accidents in Gifu prefecture, as suggested in previous reports. Although Nakaji et al. previously reported a relationship between the number of deaths by cause and air temperature and noted seasonality in the number of deaths due to infection, diabetes mellitus, heart disease, cerebrovascular disease, digestive disorders, and suicide using data from 1970 to 1999 [21], their results may not be the same as ours because of the marked aging of society in Japan.
In this study, we found a significant relationship between the number of deaths due to renal failure and air temperature parameters. Phillips et al. reported that the incidence and mortality of acute renal failure were significantly higher between January and March [32]. The mortality due to end-stage renal failure was the highest in January [33]. In Japan, Iwagami et al. reported that the incidence of acute renal failure was higher in winter, resulting in a serious state [34]. Iseki et al. also found that end-stage renal failure was closely associated with intradiurnal temperature change [35]. In this study, there was a significant relationship between the number of deaths due to renal failure and air temperature in Gifu prefecture, Japan. It is well known that blood pressure in winter is higher than that in summer [36]. In addition, the incidence of heart disease, cerebrovascular disease, and infectious disease, including pneumonia, is higher in winter than in summer [4,5,6,7,8,10,11,12,13,14,15,37]. These factors may affect the relationship between the number of deaths due to renal failure and air temperature in Gifu prefecture, Japan. Therefore, patients with renal failure require closer attention in winter to prevent deterioration and to improve their health status.
There are several limitations. First, this was an ecological study and individual data were not available and many factors, including age and physical factors, were not evaluated. The air temperature would affect many aspects including physical activity, sleeping, and consumption of energy and nutrients resulting in an increase of the number of deaths. Second, we evaluated the relationship between the number of deaths stratified by cause and air temperature parameters only in Gifu prefecture, Japan. Thus, the results of this study may not be applicable to other prefectures in Japan.
In conclusion, we found a significant relationship between the number of deaths, including that due to renal failure and air temperature parameters in Gifu prefecture, Japan.
Author Contributions
Conceptualization, M.B., N.M., and H.K. (Hiroaki Kataoka); investigation, M.B.; methodology, M.B., N.M., H.K. (Hiroaki Kataoka), H.K. (Hiroshi Kinoshita), N.T., H.S., and A.K.; formal analysis, M.B., N.M., and H.K. (Hiroaki Kataoka); writing—original draft preparation, M.B. and N.M.; writing—review and editing, M.B., N.M., H.K. (Hiroaki Kataoka), H.K. (Hiroshi Kinoshita), N.T., H.S., and A.K. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Acknowledgments
This study was partly supported by the Health Labour Science Research Grant (H30-Toukei-Ippan-001) from The Ministry of Health Labour and Welfare, Japan.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Zeng, J.; Zhang, X.; Yang, J.; Bao, J.; Xiang, H.; Dear, K.; Liu, Q.; Lin, S.; Lawrence, W.R.; Lin, A.; et al. Humidity May Modify the Relationship between Temperature and Cardiovascular Mortality in Zhejiang Province, China. Int. J. Environ. Res. Public Health 2017, 14, 1383. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kriszbacher, I.; Bódis, J.; Boncz, I.; Koppan, A.; Koppan, M. The Time of Sunrise and the Number of Hours with Daylight May Influence the Diurnal Rhythm of Acute Heart Attack Mortality. Int. J. Cardiol. 2010, 140, 118–120. [Google Scholar] [CrossRef] [PubMed]
- Michikawa, T.; Ueda, K.; Takami, A.; Sugata, S.; Yoshino, A.; Nitta, H.; Yamazaki, S. Japanese Nationwide Study on the Association Between Short-Term Exposure to Particulate Matter and Mortality. J. Epidemiol. 2019, 29, 471–477. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wanitschek, M.; Ulmer, H.; Süssenbacher, A.; Dörler, J.; Pachinger, O.; Alber, H.F. Warm winter is associated with low incidence of ST elevation myocardial infarctions and less frequent acute coronary angiographies in an alpine country. Herz 2013, 38, 163–170. [Google Scholar] [CrossRef] [PubMed]
- Analitis, A.; Katsouyanni, K.; Biggeri, A.; Baccini, M.; Forsberg, B.; Bisanti, L.; Kirchmayer, U.; Ballester, F.; Cadum, E.; Goodman, P.G.; et al. Effects of cold weather on mortality: Results from 15 European cities within the PHEWE project. Am. J. Epidemiol. 2008, 168, 1397–1408. [Google Scholar] [CrossRef] [Green Version]
- Ou, C.Q.; Song, Y.F.; Yang, J.; Chau, P.Y.; Yang, L.; Chen, P.Y.; Wong, C.M. Excess winter mortality and cold temperatures in a subtropical city, Guangzhou, China. PLoS ONE 2013, 8, e77150. [Google Scholar] [CrossRef]
- Van der Bom, J.G.; de Maat, M.P.; Bots, M.L.; Hofman, A.; Kluft, C.; Grobbee, D.E. Seasonal variation in fibrinogen in the Rotterdam Study. Thromb. Haemost. 1997, 78, 1059–1062. [Google Scholar]
- Wilmshurst, P. Temperature and cardiovascular mortality. BMJ 1994, 309, 1029–1030. [Google Scholar] [CrossRef] [Green Version]
- Wang, H.; Kakehashi, M.; Matsumura, M.; Eboshida, A. Association between occurrence of acute myocardial infarction and meteorological factors. J. Cardiol. 2007, 49, 31–40. [Google Scholar]
- Haberman, S.; Capildeo, R.; Rose, F.C. The seasonal variation in mortality from cerebrovascular disease. J. Neurol. Sci. 1981, 52, 25–36. [Google Scholar] [CrossRef]
- Rothwell, P.M.; Wroe, S.J.; Slattery, J.; Warlow, C.P. Is stroke incidence related to season or temperature? The Oxfordshire Community Stroke Project. Lancet 1996, 347, 934–936. [Google Scholar] [CrossRef]
- Collins, S.D.; Lehmann, J. Excess deaths from influenza and pneumonia and from important chronic diseases during epidemic periods, 1918–1951. Public Health Monogr. 1953, 10, 1–21. [Google Scholar] [PubMed]
- Collins, S.D. A review and study of illness and medical care with special reference to long-time trends. Public Health Monogr. 1957, 48, 1–86. [Google Scholar] [PubMed]
- Eickhoff, T.C.; Sherman, I.L.; Serfling, R.E. Observations on excess mortality associated with epidemic influenza. JAMA 1961, 176, 776–782. [Google Scholar] [CrossRef]
- Rogot, E.; Fabsitz, R.; Feinleib, M. Daily variation in USA mortality. Am. J. Epidemiol. 1976, 103, 198–211. [Google Scholar] [CrossRef]
- Kunst, A.E.; Looman, C.W.; Mackenbach, J.P. Outdoor air temperature and mortality in The Netherlands: A time-series analysis. Am. J. Epidemiol. 1993, 137, 331–341. [Google Scholar] [CrossRef]
- Miyatake, N.; Hirao, T.; Sakano, N.; Tanaka, N.; Kinoshita, H. Lower air temperature is associated with higher ambulance transports in Sakata area, Yamagata prefecture, Japan. Open J. Epidemiol. 2013, 3, 220–223. [Google Scholar] [CrossRef] [Green Version]
- Mochimasu, K.D.; Miyatake, N.; Tanaka, N.; Kinoshita, H. Lower air temperature is associated with ambulance transports and death in Takamatsu area, Japan. Environ. Health Prev. Med. 2014, 19, 253–257. [Google Scholar] [CrossRef] [Green Version]
- Kataoka, H.; Mochimasu, K.D.; Katayama, A.; Kanda, K.O.; Sakano, N.; Tanaka, K.; Miyatake, N. The linkage among ambulance transports, death and climate parameters in Asahikawa City, Japan. Environ. Health Prev. Med. 2015, 20, 63–67. [Google Scholar] [CrossRef] [Green Version]
- Owari, Y.; Miyatake, N.; Yamamoto, Y.; Kataoka, H.; Mochimasu, K.D. Relationship between air temperature and death in all 47 prefectures of Japan. Rom. J. Leg. Med. 2016, 24, 61–70. [Google Scholar] [CrossRef]
- Nakaji, S.; Parodi, S.; Fontana, V.; Umeda, T.; Suzuki, K.; Sakamoto, J.; Fukuda, S.; Wada, S.; Sugawara, K. Seasonal changes in mortality rates from main causes of death in Japan (1970–1999). Eur. J. Epidemiol. 2004, 19, 905–913. [Google Scholar] [CrossRef] [PubMed]
- Geospatial Information Authority of Japan Official Website. Prefecture Different Area. Available online: https://www.gsi.go.jp/KOKUJYOHO/MENCHO201907-index.html (accessed on 22 November 2019).
- Gifu Prefecture Official Web Site. Demographic Statistics. Available online: https://www.pref.gifu.lg.jp/kodomo/iryo/horei/11229/h28-eisei-nempo.html (accessed on 29 November 2019).
- Ministry of Health, Labour and Welfare Official Web Site. Summary of Results of Death Statistics in Japan. Available online: https://www.mhlw.go.jp/toukei/saikin/hw/jinkou/geppo/nengai18/index.html (accessed on 22 November 2019).
- Japan Meteorological Agency Official Website. Past Weather Data. Available online: https://www.data.jma.go.jp/obd/stats/etrn/index.php?prec_no=52&block_no=47632&year=&month=&day=&view= (accessed on 22 November 2019).
- Ma, C.; Yang, J.; Nakayama, S.F.; Honda, Y. The association between temperature variability and cause-specific mortality: Evidence from 47 Japanese prefectures during 1972–2015. Environ. Int. 2019, 127, 125–133. [Google Scholar] [CrossRef] [PubMed]
- Yamamoto, Y.; Miyatake, N.; Kinoshita, H.; Tanaka, N.; Kuratou, R.; Katayama, A.; Fukunaga, T. Changes in asphyxial death classified by month in the 23 wards of Tokyo. Curr. Study Environ. Med. Sci. 2017, 10, 3–9. [Google Scholar]
- Takashima, N.; Miyatake, N.; Kinoshita, H.; Tanaka, N.; Kurato, R.; Mochimasu, K.D.; Suzuki, H.; Fukunaga, T. Relationship between death by drowning and air temperature in the 23 wards (municipalities) of Tokyo. Albanian J. Med. Health Sci. in press.
- Uehara, C.; Miyatake, N.; Kinoshita, H.; Tanaka, N.; Kataoka, H.; Suzuki, H.; Fukunaga, T. Comparison of deaths by fall as classified by month in the 23 wards (municipalities) of Tokyo. Albanian J. Med. Health Sci. in press.
- Miyatake, N.; Tanaka, N.; Kinoshita, H.; Fukunaga, T. Relationship between the number of death from cold and air temperature parameters, and the comparison the number of death from cold among months in the 23 wards of Tokyo. J. Dist. Environ. Health. Welf. Res. 2017, 1, 27–30. (In Japanese) [Google Scholar]
- Miyatake, N.; Tanaka, N.; Suzuki, H.; Kinoshita, H. Comparison of the number of fire, the number of death and injury due to fire among months, and its relation to air temperature and humidity in the 23 wards of Tokyo. J. Dist. Environ.Health. Welf. Res. 2018, 1, 11–14. (In Japanese) [Google Scholar]
- Phillips, D.; Young, O.; Holmes, J.; Allen, L.A.; Roberts, G.; Geen, J.; Williams, J.D.; Phillips, A.O.; Welsh AKI Steering Group. Seasonal pattern of incidence and outcome of Acute Kidney Injury: A national study of Welsh AKI electronic alerts. Int. J. Clin. Pract. 2017, 71. [Google Scholar] [CrossRef] [Green Version]
- Obi, Y.; Kalantar-Zadeh, K.; Streja, E.; Rhee, C.M.; Reddy, U.G.; Soohoo, M.; Wang, Y.; Ravel, V.; You, A.S.; Jing, J.; et al. Seasonal variations in transition, mortality and kidney transplantation among patients with end-stage renal disease in the USA. Nephrol. Dial. Transplant. 2017, 32, ii99–ii105. [Google Scholar] [CrossRef]
- Iwagami, M.; Moriya, H.; Doi, K.; Yasunaga, H.; Isshiki, R.; Sato, I.; Mochida, Y.; Ishioka, K.; Ohtake, T.; Hidaka, S.; et al. Seasonality of acute kidney injury incidence and mortality among hospitalized patients. Nephrol. Dial. Transplant. 2018, 33, 1354–1362. [Google Scholar] [CrossRef]
- Iseki, K.; Morita, O.; Fukiyama, K. Seasonal variation in the incidence of end-stage renal disease. Am. J. Nephrol. 1996, 16, 375–381. [Google Scholar] [CrossRef] [PubMed]
- Bi, S.H.; Cheng, L.T.; Zheng, D.X.; Wang, T. Seasonal changes in blood pressure in chronic kidney disease patients. Clin. Nephrol. 2010, 73, 216–220. [Google Scholar] [CrossRef] [PubMed]
- Sakamoto-Momiyama, M. Changes in the seasonality of human mortality: A medico-geographical study. Soc. Sci. Med. 1978, 12, 29–42. [Google Scholar] [CrossRef]
Table 1.
Climate parameters from 2007 to 2016 in Gifu prefecture, Japan.
| Number of months | 120 | ||
|---|---|---|---|
| Mean air temperature (℃) | 16.3 | ± | 8.3 |
| Mean of the highest air temperature (℃) | 21.1 | ± | 8.4 |
| Mean of the lowest air temperature (℃) | 12.1 | ± | 8.5 |
| The highest air temperature (℃) | 26.9 | ± | 8.1 |
| The lowest air temperature (℃) | 7.1 | ± | 8.5 |
Mean ± standard deviation (SD).
Table 2.
Number of deaths stratified by cause in Gifu prefecture, Japan.
| Cause | All | Men | Women | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Total | 2.62 | ± | 0.48 | 2.96 | ± | 0.34 | 2.82 | ± | 0.95 |
| Malignant neoplasm | 0.77 | ± | 0.05 | 0.95 | ± | 0.07 | 0.61 | ± | 0.06 |
| Heart disease | 0.45 | ± | 0.10 | 0.44 | ± | 0.10 | 0.47 | ± | 0.10 |
| Cerebrovascular diseases | 0.27 | ± | 0.04 | 0.26 | ± | 0.04 | 0.27 | ± | 0.04 |
| Pneumonia | 0.25 | ± | 0.04 | 0.29 | ± | 0.05 | 0.22 | ± | 0.04 |
| Senility | 0.17 | ± | 0.06 | 0.10 | ± | 0.04 | 0.24 | ± | 0.08 |
| Accidents | 0.11 | ± | 0.02 | 0.12 | ± | 0.03 | 0.09 | ± | 0.03 |
| Suicide | 0.06 | ± | 0.01 | 0.08 | ± | 0.02 | 0.03 | ± | 0.01 |
| Renal failure | 0.05 | ± | 0.01 | 0.06 | ± | 0.02 | 0.05 | ± | 0.02 |
| Vascular and unspecified dementia | 0.02 | ± | 0.01 | 0.01 | ± | 0.01 | 0.03 | ± | 0.01 |
Mean ± SD; /one hundred thousand people/day.
Table 3.
Comparison of the number of deaths per month in Gifu prefecture, Japan.
| Month | Total | Malignant Neoplasm | Heart Diseases | Cerebrovascular Diseases | Senility | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| January | 3.06 | ± | 0.43 | 0.77 | ± | 0.05 | 0.63 | ± | 0.06 | 0.31 | ± | 0.03 | 0.20 | ± | 0.06 | ||||
| February | 2.90 | ± | 0.53 | 0.78 | ± | 0.04 | 0.56 | ± | 0.06 | 0.31 | ± | 0.03 | 0.20 | ± | 0.07 | ||||
| March | 2.76 | ± | 0.49 | 0.75 | ± | 0.06 | 0.51 | ± | 0.05 | a | 0.29 | ± | 0.03 | 0.17 | ± | 0.06 | |||
| April | 2.63 | ± | 0.43 | 0.77 | ± | 0.05 | 0.47 | ± | 0.04 | a | 0.27 | ± | 0.02 | a | 0.17 | ± | 0.05 | ||
| May | 2.50 | ± | 0.39 | a | 0.75 | ± | 0.05 | 0.41 | ± | 0.02 | a | 0.26 | ± | 0.03 | a | 0.15 | ± | 0.05 | |
| June | 2.31 | ± | 0.34 | a | 0.75 | ± | 0.04 | 0.36 | ± | 0.02 | a | 0.23 | ± | 0.02 | a | 0.14 | ± | 0.05 | |
| July | 2.32 | ± | 0.37 | a | 0.76 | ± | 0.05 | 0.36 | ± | 0.03 | a | 0.23 | ± | 0.02 | a | 0.15 | ± | 0.05 | |
| August | 2.37 | ± | 0.40 | a | 0.78 | ± | 0.04 | 0.37 | ± | 0.03 | a | 0.24 | ± | 0.02 | a | 0.14 | ± | 0.04 | |
| September | 2.38 | ± | 0.37 | a | 0.79 | ± | 0.06 | 0.36 | ± | 0.03 | a | 0.22 | ± | 0.02 | a | 0.17 | ± | 0.06 | |
| October | 2.53 | ± | 0.41 | a | 0.78 | ± | 0.05 | 0.40 | ± | 0.03 | a | 0.25 | ± | 0.01 | a | 0.19 | ± | 0.07 | |
| November | 2.78 | ± | 0.50 | 0.79 | ± | 0.05 | 0.48 | ± | 0.05 | a | 0.29 | ± | 0.03 | 0.20 | ± | 0.05 | |||
| December | 2.90 | ± | 0.50 | 0.78 | ± | 0.08 | 0.55 | ± | 0.05 | a | 0.29 | ± | 0.02 | 0.20 | ± | 0.06 | |||
| Pneumonia | Accidents | Renal failure | Suicide | Vascular and unspecified dementia | |||||||||||||||
| January | 0.32 | ± | 0.03 | 0.14 | ± | 0.02 | 0.07 | ± | 0.01 | 0.05 | ± | 0.01 | 0.02 | ± | 0.01 | ||||
| February | 0.30 | ± | 0.02 | 0.12 | ± | 0.03 | 0.06 | ± | 0.01 | 0.06 | ± | 0.01 | 0.02 | ± | 0.01 | ||||
| March | 0.28 | ± | 0.01 | 0.11 | ± | 0.02 | a | 0.06 | ± | 0.01 | a | 0.06 | ± | 0.01 | 0.02 | ± | 0.01 | ||
| April | 0.26 | ± | 0.01 | a | 0.10 | ± | 0.01 | a | 0.06 | ± | 0.01 | a | 0.06 | ± | 0.01 | 0.02 | ± | 0.01 | |
| May | 0.25 | ± | 0.03 | a | 0.09 | ± | 0.02 | a | 0.05 | ± | 0.01 | a | 0.06 | ± | 0.01 | 0.01 | ± | 0.01 | |
| June | 0.21 | ± | 0.02 | a | 0.08 | ± | 0.01 | a | 0.05 | ± | 0.01 | a | 0.05 | ± | 0.01 | 0.01 | ± | 0.01 | |
| July | 0.20 | ± | 0.03 | a | 0.09 | ± | 0.02 | a | 0.05 | ± | 0.01 | a | 0.06 | ± | 0.01 | 0.02 | ± | 0.01 | |
| August | 0.21 | ± | 0.02 | a | 0.10 | ± | 0.01 | a | 0.05 | ± | 0.01 | a | 0.06 | ± | 0.01 | 0.02 | ± | 0.01 | |
| September | 0.20 | ± | 0.02 | a | 0.08 | ± | 0.01 | a | 0.04 | ± | 0.01 | a | 0.06 | ± | 0.01 | 0.02 | ± | 0.01 | |
| October | 0.24 | ± | 0.02 | a | 0.10 | ± | 0.01 | a | 0.05 | ± | 0.01 | a | 0.06 | ± | 0.01 | 0.02 | ± | 0.01 | |
| November | 0.28 | ± | 0.02 | 0.10 | ± | 0.02 | a | 0.06 | ± | 0.01 | 0.06 | ± | 0.01 | 0.02 | ± | 0.01 | |||
| December | 0.28 | ± | 0.03 | 0.13 | ± | 0.01 | 0.06 | ± | 0.01 | 0.04 | ± | 0.01 | 0.02 | ± | 0.01 | ||||
Mean ± SD; a: p < 0.05 vs January.
Table 4.
Simple correlation analysis of number of deaths (/one hundred thousand people/day) and mean air temperature in Gifu prefecture, Japan.
Table 4.
Simple correlation analysis of number of deaths (/one hundred thousand people/day) and mean air temperature in Gifu prefecture, Japan.
| r | p | Single Regression (Y: Number of Deaths, X: Climate Parameters) | |
|---|---|---|---|
| Total | −0.509 | <0.001 | Y = − 0.0295X + 3.0995 |
| Malignant neoplasm | −0.037 | 0.690 | Y = − 0.0002X + 0.7750 |
| Heart disease | −0.885 | <0.001 | Y = − 0.0104X + 0.6240 |
| Cerebrovascular diseases | −0.790 | <0.001 | Y = − 0.0034X + 0.3211 |
| Senility | −0.303 | <0.001 | Y = − 0.0022X + 0.2077 |
| Pneumonia | −0.855 | <0.001 | Y = − 0.0046X + 0.3267 |
| Accidents | −0.687 | <0.001 | Y = − 0.0020X + 0.1384 |
| Renal failure | −0.627 | <0.001 | Y = − 0.0015X + 0.0698 |
| Suicide | 0.067 | 0.466 | Y = 0.0001X + 0.0543 |
| Vascular and unspecified dementia | −0.147 | 0.109 | Y = − 0.0001X + 0.0212 |
Table 5.
Relationship between number of deaths stratified by cause and air temperature parameters according to simple correlation analysis.
Table 5.
Relationship between number of deaths stratified by cause and air temperature parameters according to simple correlation analysis.
| Air Temperature Parameters | Total | Malignant Neoplasm | Heart Disease | Cerebrovascular Diseases | Senility | Pneumonia | Accidents | Renal Failure | Suicide | Vascular and Unspecified Dementia |
|---|---|---|---|---|---|---|---|---|---|---|
| All | ||||||||||
| Mean air temperature (℃) | −0.51 | −0.03 | −0.92 | −0.78 | −0.31 | −0.86 | −0.69 | −0.63 | 0.10 | −0.15 |
| Mean of the highest air temperature (℃) | −0.51 | −0.04 | −0.92 | −0.78 | −0.32 | −0.85 | −0.69 | −0.63 | 0.12 | −0.16 |
| Mean of the lowest air temperature (℃) | −0.51 | −0.02 | −0.91 | −0.79 | −0.29 | −0.86 | −0.67 | −0.62 | 0.08 | −0.14 |
| The highest air temperature (℃) | −0.52 | −0.05 | −0.88 | −0.77 | −0.30 | −0.84 | −0.72 | −0.63 | 0.13 | −0.13 |
| The lowest air temperature (℃) | −0.50 | −0.05 | −0.50 | −0.76 | −0.32 | −0.85 | −0.63 | −0.61 | 0.09 | −0.17 |
| Men | ||||||||||
| Mean air temperature (℃) | −0.81 | −0.06 | −0.89 | −0.70 | −0.32 | −0.79 | −0.60 | −0.51 | −0.22 | −0.18 |
| Mean of the highest air temperature (℃) | −0.82 | −0.08 | −0.89 | −0.70 | −0.33 | −0.79 | −0.60 | −0.51 | −0.23 | −0.19 |
| Mean of the lowest air temperature (℃) | −0.81 | −0.05 | −0.89 | −0.71 | −0.31 | −0.80 | −0.58 | −0.50 | −0.22 | −0.17 |
| The highest air temperature (℃) | −0.82 | −0.10 | −0.89 | −0.68 | −0.32 | −0.78 | −0.62 | −0.50 | −0.22 | −0.17 |
| The lowest air temperature (℃) | −0.79 | −0.07 | −0.85 | −0.69 | −0.33 | −0.79 | −0.54 | −0.50 | −0.23 | −0.20 |
| Women | ||||||||||
| Mean air temperature (℃) | −0.22 | 0.02 | −0.88 | −0.69 | −0.29 | −0.74 | −0.62 | −0.53 | 0.17 | −0.11 |
| Mean of the highest air temperature (℃) | −0.22 | 0.02 | −0.88 | −0.68 | −0.30 | −0.74 | −0.62 | −0.54 | 0.18 | −0.12 |
| Mean of the lowest air temperature (℃) | −0.21 | 0.02 | −0.88 | −0.68 | −0.27 | −0.74 | −0.60 | −0.52 | 0.15 | −0.09 |
| The highest air temperature (℃) | −0.21 | 0.02 | −0.89 | −0.68 | −0.28 | −0.73 | −0.64 | −0.54 | 0.20 | −0.09 |
| The lowest air temperature (℃) | −0.21 | 0.00 | −0.85 | −0.66 | −0.30 | −0.72 | −0.58 | −0.51 | 0.16 | −0.13 |
Bold values: p < 0.05 by simple correlation analysis.
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Bando, M.; Miyatake, N.; Kataoka, H.; Kinoshita, H.; Tanaka, N.; Suzuki, H.; Katayama, A. Relationship between Air Temperature Parameters and the Number of Deaths Stratified by Cause in Gifu Prefecture, Japan. Healthcare 2020, 8, 35. https://doi.org/10.3390/healthcare8010035
AMA Style
Bando M, Miyatake N, Kataoka H, Kinoshita H, Tanaka N, Suzuki H, Katayama A. Relationship between Air Temperature Parameters and the Number of Deaths Stratified by Cause in Gifu Prefecture, Japan. Healthcare. 2020; 8(1):35. https://doi.org/10.3390/healthcare8010035
Chicago/Turabian StyleBando, Masaki, Nobuyuki Miyatake, Hiroaki Kataoka, Hiroshi Kinoshita, Naoko Tanaka, Hiromi Suzuki, and Akihiko Katayama. 2020. "Relationship between Air Temperature Parameters and the Number of Deaths Stratified by Cause in Gifu Prefecture, Japan" Healthcare 8, no. 1: 35. https://doi.org/10.3390/healthcare8010035
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
