Literature DB >> 11239176

Is there a temporal pattern in the occurrence of subarachnoid hemorrhage in the southern hemisphere? Pooled data from 3 large, population-based incidence studies in Australasia, 1981 to 1997.

V L Feigin1, C S Anderson, N E Anderson, J B Broad, M J Pledger, R Bonita.   

Abstract

BACKGROUND AND
PURPOSE: Publications on the temporal pattern of the occurrence of subarachnoid hemorrhage (SAH) have produced conflicting results. Variations between studies may relate to the relatively small numbers of SAH cases analyzed, including those in meta-analyses.
METHODS: We identified all cases of SAH from 3 well-designed population-based studies in Australia (Adelaide, Hobart, and Perth) and New Zealand (Auckland) during 3 periods between 1981 and 1997. The diagnosis of SAH was confirmed with CT, cerebral angiography, cerebrospinal fluid analysis, or autopsy in all cases. Information on the time of occurrence of each event was obtained. Risk ratios (RRs) and 95% CIs were calculated using Poisson regression, with age, sex, smoking status, and history of hypertension entered in the model as covariates.
RESULTS: A total of 783 cases of SAH were registered. Age- and sex-adjusted RRs of SAH occurrence were highest in the period between 6 AM and 12 MIDNIGHT (RR 3.2, 95% CI 2.4-4.3) and in winter and spring (RR 1.3, 95% CI 1.1-1.5; RR 1.3, 95% CI 1.1-1.5; respectively). No particular pattern of SAH occurrence was observed according to the day of the week. Restriction of the analyses to proved aneurysmal SAH did not substantially change the point estimates.
CONCLUSIONS: Circadian and circaseptan (weekly) fluctuations of SAH occurrence in the southern hemisphere are similar to those in the northern hemisphere, but the occurrence of SAH in Australasia exhibits clear seasonal (winter and spring) peaks.

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Year:  2001        PMID: 11239176     DOI: 10.1161/01.str.32.3.613

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


  7 in total

1.  Differences in circadian variation of cerebral infarction, intracerebral haemorrhage and subarachnoid haemorrhage by situation at onset.

Authors:  S Omama; Y Yoshida; A Ogawa; T Onoda; A Okayama
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2.  A meta-analysis of excess cardiac mortality on Monday.

Authors:  D R Witte; D E Grobbee; M L Bots; A W Hoes
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

Review 3.  Impact of Exercise on Cerebrovascular Physiology and Risk of Stroke.

Authors:  Justin A Edward; William K Cornwell
Journal:  Stroke       Date:  2022-05-04       Impact factor: 10.170

4.  Chronobiological Patterns of Aneurysmal Subarachnoid Hemorrhage in Central China.

Authors:  Yuehui Wu; Nan Tang; Liangtao Xia; Tianyu Liu; Hao Yu; Xiaobing Jiang; Xinyu Yu
Journal:  Glob Heart       Date:  2022-04-28

5.  Urbanization and stroke prevalence in Taiwan: analysis of a nationwide survey.

Authors:  Herng-Ching Lin; Yen-Ju Lin; Tsai-Ching Liu; Chin-Shyan Chen; Wen-Ta Chiu
Journal:  J Urban Health       Date:  2007-05-11       Impact factor: 3.671

6.  Meteorological influences on the incidence of aneurysmal subarachnoid hemorrhage - a single center study of 511 patients.

Authors:  Marian Christoph Neidert; Michael Sprenger; Heini Wernli; Jan-Karl Burkhardt; Niklaus Krayenbühl; Oliver Bozinov; Luca Regli; Christoph Michael Woernle
Journal:  PLoS One       Date:  2013-12-02       Impact factor: 3.240

Review 7.  Seasonal variation of blood pressure in children.

Authors:  Niels Ziegelasch; Mandy Vogel; Werner Siekmeyer; Heiko Billing; Ingo Dähnert; Wieland Kiess
Journal:  Pediatr Nephrol       Date:  2020-11-19       Impact factor: 3.714

  7 in total

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