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American Journal of Epidemiology Vol. 130, No. 3: 457-468
Copyright © 1989 by The Johns Hopkins University School of Hygiene and Public Health

research-article

POLAND AND US COLLABORATIVE STUDY ON CARDIOVASCULAR EPIDEMIOLOGY

III. CORRELATES OF SYSTOLIC AND DIASTOLIC BLOOD PRESSURE IN MEN AND WOMEN AGED 35-64 YEARS FROM SELECTED POLISH RURAL, POLISH URBAN, AND US SAMPLES

O. DALE WILLIAMS1,, STEFAN RYWIK2, JAN SZNAJD3, JAMES R ABERNATHY1, ANDRZEJ PAJAK3, WITOLD KUPSC2, BENGT FURBERG1, GRAZYNA BRODA2, ALEKSANDER CELINSKI3, RATNA P. THOMAS1, RYSZARD MORAWSKI3, MARIA POLAKOWSKA2, HALINA PRZESTALSKA-MALKIN2 and SANDRA H IRVING1

1Department of Biostatistics, School of Public Health, University of North Carolina Chapel Hill, NC, USA.
2Department of Epidemiology and Prevention of Cardiovascular Diseasee, National Institute of Cardiology Warsaw, Poland
3Department of Biochemical Diagnostics and Metabolic abolic In-Patient Clinic, Nicolaus Copernicus Medical Academy Cracow, Poland

Reprint requests to Dr. 0. Dale Williams, Department of Biostatistics, School of Public Health, University of North Carolina, Chapel Hill, NC 27514

Three diverse samples of men and women aged 35–64 years living In urban Poland, rural Poland, and the United States are described and subsequently analyzed using systolic blood pressure and diastolic blood pressure separately as dependent variables in multiple regression. Several demographic, behavioral, and biologic factors are included in the models as independent variables. Heart rate, Quetelet index, high density lipoprotein cholesterol, and the natural logarithm of triglycerides were statistically significant in accounting for variation in systolic pressure in men in all three samples, whereas only heart rate and Quetelet index were significant in women in all samples. In the analysis of diastolic pressure, Quetelet index, heart rate, and ethanol consumption were statistically significant in men in all three samples, while only Quetelet index and heart rate were significant in women in all samples.

Wood pressure; cardiovascular diseases; epidemiologic methods; regression analysis


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