Characteristics of Reproductive Health of Women in Their Generative Age

Introduction Any research of reproductive health has to encompass the relevant connotations of this complex term. In order to establish relevant multidimensional characteristics, it is necessary to assess intercorrelations of the characteristics most commonly used to describe it. Objective Our aim was to describe the characteristics of reproductive health and to establish their significance in describing this term. Methods Within the study of health of adult inhabitants of Serbia, on the sample of 2,817 women aged 20-49 years, the data on different reproductive health characteristics were collected by way of a structured questionnaire. By way of factorial analysis (principal components method, Kaisser Varimax criterion), representative characteristics (factors) were selected out of a large number of characteristics, describing reproductive health of women in a multidimensional way, interrelationships of the factors were explained, and carriers the most important individual characteristics were selected for further analysis. Results The characteristics of female reproductive health in Serbia are poor, both from the health policy standpoint and in comparison with other countries. Reproductive health describes 7 relevant factors and their carriers (characteristics which best reflect the variability of characteristics involved in a factor). These involve sexual behaviour (self-assessed HIV infection risk), contraception (use of contraceptive devices on one's own initiative), adequate protection of reproductive health (usage of gynaecological services even when healthy), abortions (pregnancy outcome), HIV control (HIV testing usage), postpartal protection (visits of field nurses after being discharged from maternity ward) and reproductive period (doctor visits after being discharged from maternity ward). Conclusion All the characteristics of reproductive health used in various studies are not equally important in the description of this complex phenomenon. Factorial analysis can explain intercorrelations of the studied characteristics and make possible the selection of those most representative.