Variation during the week in the incidence of acute myocardial infarction: increased risk for Japanese women on Saturdays

Heart. 2003 Apr;89(4):398-403. doi: 10.1136/heart.89.4.398.

Abstract

Background: Variations in the incidence of acute myocardial infarction during the week may differ between and within communities, according to lifestyle.

Objective: To identify potential triggering factors for acute myocardial infarction by examining variations in incidence in the days of the week within the Osaka area of Japan.

Patients: Of 2511 consecutive patients in this region who were admitted to hospital for acute myocardial infarction between April 1998 and March 2001 and consented to take part, 2400 who had a definitely identified time of onset were enrolled.

Results: For this group as a whole, no significant difference in incidence was noted between days of the week. However, in subgroup analyses women were shown to have significant variation through the week, peaking on Saturday with a 39% increase in relative risk (p = 0.037); working subjects showed a peak on Monday, with a 26% increase in relative risk (p = 0.038). Stratified analyses showed that in working men there was a prominent Monday peak in the onset of infarction, with a 30% increase in relative risk (p = 0.022), while in working women, there was no significant variation through the week.

Conclusions: Earlier findings of a Monday peak linked to increased physical and mental occupational stress are confirmed. There is also an increase in uncertain risk factors on Saturdays for Japanese women, possibly involving a stressful weekend burden for women. Confirmation of this finding in other communities may help identify triggers of acute myocardial infarction and be useful in prevention.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Chi-Square Distribution
  • Female
  • Humans
  • Incidence
  • Japan / epidemiology
  • Male
  • Middle Aged
  • Myocardial Infarction / epidemiology*
  • Prospective Studies
  • Regression Analysis
  • Risk Factors
  • Sex Distribution
  • Time Factors