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Published on: December 9, 2015
Estimation of seasonal variations in risk factor profiles and mortality from coronary heart disease
Hanno Ulmer1, Cecily Kelleher, Günter Diem
1Department of Biostatistics and Documentation, Innsbruck Medical University, Innsbruck, Austria. Hanno.Ulmer@uibk.ac.at
Insights
Seasonal variations in coronary heart disease (CHD) risk factors contribute to mortality. Winter increases risk factors like cholesterol and blood pressure, particularly for chronic CHD, affecting both men and women.
Area of Science:
- Cardiovascular epidemiology
- Public health research
- Biostatistics
Background:
- Seasonal variations in coronary heart disease (CHD) and risk factors are documented.
- Previous studies lacked quantification of seasonal risk factor impact on CHD mortality in large, diverse populations.
Purpose of the Study:
- To quantify the contribution of seasonal risk factor variations to coronary heart disease (CHD) mortality.
- To analyze these effects across different demographic groups, including men and women.
Main Methods:
- Utilized a large database (149,650 individuals, >450,000 measurements) from the Western Austrian Vorarlberg Health Monitoring and Promotion Programme (1985-1999).
- Analyzed seasonal patterns in CHD mortality (ICD-9 410-414) and risk factors (cholesterol, blood pressure, BMI).
Main Results:
- Higher coronary heart disease (CHD) mortality observed in winter (27.9%) vs. summer (21.7%).
- Chronic CHD (ICD-9 414) significantly more frequent in winter (p < 0.001).
- Risk factors (cholesterol, blood pressure, BMI) were higher in winter, increasing estimated risk by 6.8% (men) and 3.6% (women).
Conclusions:
- Quantified seasonal risk factor variation's contribution to coronary heart disease (CHD) mortality for the first time.
- Observed consistent effects across demographics, suggesting a physiological basis.
- Recommended incorporating seasonal fluctuations into the interpretation of CHD risk scores.
Objective:
Seasonal variations in coronary heart disease (CHD) and related risk factors have been reported previously. However, no studies to date quantify the contribution of seasonal variations in risk factors to actual mortality in both men and women using a single database of sufficient size and follow-up.
Methods:
We investigated the database from the Western Austrian Vorarlberg Health Monitoring and Promotion Programme (VHM&PP) including over 450,000 repeated measurements of 149,650 individuals between 1985 and 1999.
Results:
Of a total of 1266 deaths from CHD (ICD-9 410-414), 353 deaths occurred between December and February (27.9%), in contrast to 275 (21.7%) between June and August. While the frequency of deaths through acute myocardial infarction (ICD-9 410) was similar over the seasons, chronic forms of CHD (ICD-9 414) occurred significantly (p < 0.001) more frequently in winter. Total cholesterol, blood pressure and body mass index showed pronounced seasonal variations with average levels significantly higher during the winter months in all age groups and both sexes, giving an estimated increase in score risk of 6.8% in men and 3.6% in women. However by contrast, use of single time point risk factor data tended to over-estimate subsequent 10 year mortality if measured in winter and the converse in summer.
Conclusion:
For the first time, this study quantifies the contribution of seasonal risk factor variation to CHD mortality. The consistent effect across demographic groups suggests that this is a real physiological phenomenon and not an artefact of living conditions. Interpretation of standard risk scores should take account of this seasonal fluctuation in subsequent investigation and follow-up.
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