In the present article, the material from the questionnaires and interviews was used, directly concerning selleck screening library the subjects�� socio-demographic characteristics (age, education and employment) and their health-related behaviors, such as physical activity, nutrition, tobacco and alcohol consumption and attending regular medical check-ups. The categories with respect to the women��s careers were: working, permanently passive (retirees or ill-health pensioners), temporarily passive (being on child-raising leave, unemployed) and learning or studying (except for physical education students). On grounds of the information about current body mass and height reported by the respondents, the BMI was calculated. According to the most often assumed criteria (Howley and Franks, 1997; The European Health Report 2002), the proper BMI for women should vary from 20.

0 to 24.9 kg/m2; values ranging from 25.0 to 29.9 kg/m2 indicate overweight, equal to or exceeding 30.0 kg/m2 �C obesity, and below 20.0 kg/m2 �C underweight. As far as smoking cigarettes is concerned, among the physically active women were those who: did not smoke, had been smoking regularly (at least 1 cigarette a day for half a year), had been smoking occasionally, had given up smoking. In the evaluation of alcoholic beverages consumption 5 categories were distinguished with respect to frequency and beverage type: not drinking, drinking low-alcohol beverages (rarely �C 1�C2 times a month or less often; often �C 1�C2 times a month or more often) and drinking high-alcohol beverages (rarely; often).

Health control was evaluated on grounds of the frequency of dental check-ups (in the past 6 months, 6�C12 months before, 1�C2 years before, earlier) as well as gynecological ones (in the past year, over a year but not earlier than 2 years before, earlier than 2 years before, never). Statistical Analysis For the verification of the research hypotheses concerning the influence of age, education and employment on women��s physical activity, as well as for the evaluation of changes in health-related behaviors resulting from physical activity and the indication of associated behaviors, frequency of features and the independence ��2 test were used. In search of correlations between physical activity determinants and the choice of health behaviors, multidimensional correspondence analysis was employed.

The method makes it possible to illustrate graphically and comprehensively the associations between data, which are qualitative for the most part (Van Buuren and de Leeuw, 1992). The variables with their categories Anacetrapib are presented on the plane. Closeness of particular categories indicates a more direct relation between them. In connection with the results from the ��2 test it facilitates analysis of all the variables and their categories which are significant in determining the examined associations. Statistica 8.0 software package (StatSoft, Inc. USA) was used to make calculations.