Literature DB >> 15575348

Seasonal changes in mortality rates from main causes of death in Japan (1970--1999).

Shigeyuki Nakaji1, Stefano Parodi, Vincenzo Fontana, Takashi Umeda, Katsuhiko Suzuki, Juichi Sakamoto, Shinsaku Fukuda, Seiko Wada, Kazuo Sugawara.   

Abstract

BACKGROUND: It is well recognized that the season of the year exerts an influence on some diseases and causes of death such as coronary heart diseases, stroke, infectious diseases and so on.
METHODS: We evaluated the influence of seasonal changes on diseases and causes of death in Japan using the Japan Vital Statistics from 1970 to 1999 and recorded weather data (mean temperature), by a Fourier decomposition in a log linear regression model.
RESULTS: Major influences of seasonal change with the highest rates in winter were seen on the following: the overall causes of death; infectious and parasitic diseases including tuberculosis; respiratory disease, including pneumonia and influenza; heart and cerebrovascular diseases; diabetes; and digestive diseases and accidents. Two peaks were seen in suicides, a large peak in April and a small peak in autumn. Cancer and homicides were little or not at all influenced by seasonality. There was no major difference in changes between the years studied, except for respiratory disease and tuberculosis, which showed a clear reduction in the seasonality effect from 1970 to 1999.
CONCLUSIONS: To reduce the overall mortality rate and to prolong life expectancy in Japan, measures must be taken to reduce those mortality rates associated with seasonal differences, especially those causes of death which show a strong correlation with seasonal change: respiratory, heart, cerebrovascular, diabetes and infectious diseases.

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Year:  2004        PMID: 15575348     DOI: 10.1007/s10654-004-4695-8

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  27 in total

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4.  Seasonal variation in fibrinogen in the Rotterdam Study.

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Journal:  Thromb Haemost       Date:  1997-09       Impact factor: 5.249

5.  Changing seasonality of mortality from coronary heart disease.

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Journal:  JAMA       Date:  1997-09-24       Impact factor: 56.272

6.  Long-term reproducibility and evaluation of seasonal influences on blood pressure monitoring.

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Journal:  Ann Intern Med       Date:  1984-12       Impact factor: 25.391

8.  An epidemiologic survey of arterial blood pressure in a large male population group.

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Journal:  Am J Epidemiol       Date:  1974-01       Impact factor: 4.897

9.  Seasonal variation in stroke mortality rates.

Authors:  D J Lanska; R G Hoffmann
Journal:  Neurology       Date:  1999-03-23       Impact factor: 9.910

10.  Seasons, temperature and coronary disease.

Authors:  F Enquselassie; A J Dobson; H M Alexander; P L Steele
Journal:  Int J Epidemiol       Date:  1993-08       Impact factor: 7.196

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  31 in total

Review 1.  The hypothalamic-pituitary-adrenal axis and serotonin abnormalities: a selective overview for the implications of suicide prevention.

Authors:  Maurizio Pompili; Gianluca Serafini; Marco Innamorati; Anne Maria Möller-Leimkühler; Giancarlo Giupponi; Paolo Girardi; Roberto Tatarelli; David Lester
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2010-02-20       Impact factor: 5.270

Review 2.  Suicide and suicidal behavior.

Authors:  Matthew K Nock; Guilherme Borges; Evelyn J Bromet; Christine B Cha; Ronald C Kessler; Sing Lee
Journal:  Epidemiol Rev       Date:  2008-07-24       Impact factor: 6.222

3.  The impact of newspaper reporting of hydrogen sulfide suicide on imitative suicide attempts in Japan.

Authors:  Akihito Hagihara; Takeru Abe; Megumi Omagari; Midori Motoi; Yoshihiro Nabeshima
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2013-07-14       Impact factor: 4.328

Review 4.  Geoenvironmental diabetology.

Authors:  Curtiss B Cook; Kay E Wellik; Margaret Fowke
Journal:  J Diabetes Sci Technol       Date:  2011-07-01

5.  [Weather and suicide : Association between meteorological variables and suicidal behavior-a systematic qualitative review article].

Authors:  Charlotte Pervilhac; Kyrill Schoilew; Hansjörg Znoj; Thomas J Müller
Journal:  Nervenarzt       Date:  2020-03       Impact factor: 1.214

Review 6.  Temperature drop and the risk of asthma: a systematic review and meta-analysis.

Authors:  Xiaowei Cong; Xijin Xu; Yuling Zhang; Qihua Wang; Long Xu; Xia Huo
Journal:  Environ Sci Pollut Res Int       Date:  2017-08-13       Impact factor: 4.223

7.  Association of onset-season with characteristics and long-term outcomes in acute myocardial infarction patients: results from the Japanese registry of acute myocardial infarction diagnosed by universal definition (J-MINUET) substudy.

Authors:  Taishi Okuno; Jiro Aoki; Kengo Tanabe; Koichi Nakao; Yukio Ozaki; Kazuo Kimura; Junya Ako; Teruo Noguchi; Satoshi Yasuda; Satoru Suwa; Kazuteru Fujimoto; Yasuharu Nakama; Takashi Morita; Wataru Shimizu; Yoshihiko Saito; Atsushi Hirohata; Yasuhiro Morita; Teruo Inoue; Atsunori Okamura; Toshiaki Mano; Kazuhito Hirata; Yoshisato Shibata; Mafumi Owa; Kenichi Tsujita; Hiroshi Funayama; Nobuaki Kokubu; Ken Kozuma; Shiro Uemura; Tetsuya Tobaru; Keijiro Saku; Shigeru Ohshima; Kunihiro Nishimura; Yoshihiro Miyamoto; Hisao Ogawa; Masaharu Ishihara
Journal:  Heart Vessels       Date:  2019-05-25       Impact factor: 2.037

8.  Associations between environmental exposure and blood pressure among participants in the Oslo Health Study (HUBRO).

Authors:  Christian Madsen; Per Nafstad
Journal:  Eur J Epidemiol       Date:  2006-07-21       Impact factor: 8.082

9.  Association of monthly frequencies of diverse diseases in the calls to the public emergency service of the city of Buenos Aires during 1999-2004 with meteorological variables and seasons.

Authors:  P Alexander
Journal:  Int J Biometeorol       Date:  2012-03-13       Impact factor: 3.787

10.  Seasonal variation: mortality from pulmonary fibrosis is greatest in the winter.

Authors:  Amy L Olson; Jeffrey J Swigris; Ganesh Raghu; Kevin K Brown
Journal:  Chest       Date:  2008-08-08       Impact factor: 9.410

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