[Total cholesterol, HDL-cholesterol and blood pressure in relation to life style: results of the first population screening of the Swiss MONIKA Project]. 1990

B Marti, and S Dai, and M Rickenbach, and V Wietlisbach, and C Bucher, and F Barazzoni, and F Gutzwiller
Institut für Sozial- und Präventivmedizin der Universität Zürich.

To evaluate the association of individual health habits with levels of cardiovascular risk factors such as serum cholesterol and blood pressure, data from a representative population sample of 860 men and 788 women, aged 25 to 64 years and residing in Western Switzerland, were analyzed cross-sectionally. The data had been collected during 1984/85 as a part of the WHO MONICA project, an international research project on the epidemiology of cardiovascular diseases. In age-adjusted analysis, a score of prudent diet was a reasonably strong inverse correlate of total cholesterol in men (p less than 0.001) but less so in women (p = 0.11); the diet score was unrelated to HDL cholesterol. In both genders, alcohol consumption was associated with elevated levels of systolic and diastolic blood pressure (men: both p less than 0.001; women: p = 0.05 and 0.01 respectively) and of HDL cholesterol (men and women: p less than 0.001). Coffee consumption was unrelated to either blood lipids or blood pressure. In both men and women, leisure-time exercise was a predictor of a low-risk lipid profile, i.e. a low total cholesterol/HDL ratio (both p less than 0.001). Better educated persons, especially women, revealed consistently lower levels of cardiovascular risk factors. The independent character of these lifestyle-risk factor-associations was largely confirmed in a multivariate analysis, with cigarette smoking emerging as another significant predictor of a deteriorated lipid profile, while education was not an independent determinant of biological risk factors. Lifestyle variables, including body mass index, explained 9 to 19% of variance in cardiovascular risk factors, with relative weight being the strongest of the predictors related to behaviour. Entering age and sex into the regression models enhanced the predictive power of the equations to 16 to 26% explained risk factor variance. We conclude from this population-based, cross-sectional study that personal health habits such as diet, exercise, alcohol consumption and smoking, as well as body weight are significantly and independently related to blood lipid and blood pressure levels; the apparent size of effect of these behavioural traits on biological risk factors for cardiovascular diseases was only modest, but it may nevertheless be relevant to prevention.

UI MeSH Term Description Entries
D008019 Life Style Typical way of life or manner of living characteristic of an individual or group. (From APA, Thesaurus of Psychological Index Terms, 8th ed) Lifestyle Factors,Life Style Induced Illness,Lifestyle,Factor, Lifestyle,Life Styles,Lifestyle Factor,Lifestyles
D008076 Cholesterol, HDL Cholesterol which is contained in or bound to high-density lipoproteins (HDL), including CHOLESTEROL ESTERS and free cholesterol. High Density Lipoprotein Cholesterol,Cholesterol, HDL2,Cholesterol, HDL3,HDL Cholesterol,HDL(2) Cholesterol,HDL(3) Cholesterol,HDL2 Cholesterol,HDL3 Cholesterol,alpha-Lipoprotein Cholesterol,Cholesterol, alpha-Lipoprotein,alpha Lipoprotein Cholesterol
D008297 Male Males
D008403 Mass Screening Organized periodic procedures performed on large groups of people for the purpose of detecting disease. Screening,Mass Screenings,Screening, Mass,Screenings,Screenings, Mass
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D001794 Blood Pressure PRESSURE of the BLOOD on the ARTERIES and other BLOOD VESSELS. Systolic Pressure,Diastolic Pressure,Pulse Pressure,Pressure, Blood,Pressure, Diastolic,Pressure, Pulse,Pressure, Systolic,Pressures, Systolic
D002318 Cardiovascular Diseases Pathological conditions involving the CARDIOVASCULAR SYSTEM including the HEART; the BLOOD VESSELS; or the PERICARDIUM. Adverse Cardiac Event,Cardiac Events,Major Adverse Cardiac Events,Adverse Cardiac Events,Cardiac Event,Cardiac Event, Adverse,Cardiac Events, Adverse,Cardiovascular Disease,Disease, Cardiovascular,Event, Cardiac
D002784 Cholesterol The principal sterol of all higher animals, distributed in body tissues, especially the brain and spinal cord, and in animal fats and oils. Epicholesterol
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional

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