Literature DB >> 18258821

Higher stroke incidence in the spring season regardless of conventional risk factors: Takashima Stroke Registry, Japan, 1988-2001.

Tanvir Chowdhury Turin1, Yoshikuni Kita, Yoshitaka Murakami, Nahid Rumana, Hideki Sugihara, Yutaka Morita, Nobuyoshi Tomioka, Akira Okayama, Yasuyuki Nakamura, Robert D Abbott, Hirotsugu Ueshima.   

Abstract

BACKGROUND AND
PURPOSE: Seasonal variation in stroke incidence was examined using 14-year stroke registration data in a Japanese population. We also examined if this variation was modified by conventional stroke risk factors hypertension, diabetes mellitus, drinking, and smoking.
METHODS: Data were obtained from the Takashima Stroke Registry, which covers a stable population of approximately 55,000 in Takashima County in central Japan. There were 1665 (men, 893; women, 772) registered first-ever stroke cases during 1988 to 2001. The average age of stroke onset for men and women patients was 69.4 and 74.2 years, respectively. Incidence rates (per 100 000 person-years) and 95% CI were calculated by gender, age, and stroke subtype for winter, spring, summer, and autumn. After stratifying patients by their risk factor history, the OR (with 95% CI) of having a stroke in autumn, winter, and spring were calculated, with summer serving as a reference.
RESULTS: Among the seasons, stroke incidence per 100,000 person-years was highest in the spring (231.3; 95% CI, 211.1 to 251.5). Spring incidence was highest in both men (240.8; 95% CI, 211.5 to 270.2) and women (222.1; 95% CI, 194.4 to 249.9), and in subjects younger than 65 years (72.6; 95% CI, 60.0 to 85.3) and 65 years or older (875.9; 95% CI, 787.5 to 964.3). Among stroke subtypes, spring incidence was highest for cerebral infarction (154.7; 95% CI, 138.2 to 171.2) and cerebral hemorrhage (53.7; 95% CI, 44.0 to 63.4). The spring excess in stroke incidence was observed regardless of the presence or absence of the risk factor histories.
CONCLUSIONS: Stroke incidence appears to be highest in the spring among a Japanese population regardless of conventional risk factor history. Factors that explain this excess need further investigation.

Entities:  

Mesh:

Year:  2008        PMID: 18258821     DOI: 10.1161/STROKEAHA.107.495929

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  23 in total

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