Abstract
Recently, while conducting scientific research in the field of theoretical and preventive medicine, biomedical preventive anthropology and statistical processing of their results, one of the leading places is the cluster analysis procedure, which involves the search for the patterns of grouping as research objects and their leading features in separate local plural and subset, that is, in separate clusters. Researches that provided for determining the leading characteristics of the quality of life and the peculiarities of the course of psychological adaptation processes based on the use of commonly accepted psychohygienic practices of personal questionnaires were conducted on the basis of educational institutions in Ivano-Frankivsk. Statistical analysis of the obtained data provided for the use of descriptive statistics and cluster analysis procedures using the licensed standardized application package of the multivariate statistical analysis “Statistica 6.1 for Windows” (license number ВXXR901E245722FA). The results of the conducted research indicate the existence of an extremely stable structure of the identified groups, among which in all investigated cases, it necessary to note the cluster associated with the leading indicators of quality of life, which united in its structure characteristics of quality of life on the scales Bodily Pain (BP, scale (Physical Functioning), Mental Health (MH, Mental Health Scale), General Health (GH, General Health Scale), Vitality (VT, Viability Scale), and Social Functioning (SF, scale of social functioning), neuro-psychical cluster combining personal and situational anxiety, depressive and asthenic states, as well as an integral cluster that included in its structure the characteristics of quality of life on the scale of Role-Emotional (RE, role-playing role scale) and Role-Physical (RP, scale of role-physical functioning) and indicators of subjective control in health and disease and neuroticism. The obtained data should further find a proper place in the structure of diagnostic and preventive approaches to assess the state of health and functional state of the body of pupils and students.
Highlights
While conducting scientific research in the field of theoretical and preventive medicine, biomedical preventive anthropology and statistical processing of their results, one of the leading places is occupied by cluster analysis procedures, which provide the search of grouping patterns as objects of research and their leading features in separate local sets and subsets, that is, into separate clusters [4, 17, 18, 19, 20, 22].a cluster is a group, a certain class, or a certain group of homogeneous units
Considering the data obtained during the use of cluster analysis procedures among young women who studied at school, it was necessary to distinguish 3 leading clusters that characterized the features of the interconnections of the leading components of quality of life (QoL) and personality traits (PT), namely: cluster No 1, which combined in its structure QoL characteristics according to the Role-Emotional (RE) and Role-Physical (RP) scales and the level of expression of subjective control (LSC) indicators in health and disease and neuroticism, cluster No 2, which combines the characteristics of QoL according to the Bodily Pain (BP), Physic al Functioning (PF), General Health (GH), Mental Health (MH), Social Functioning (SF) and Vitality (VT) scales, cluster No 3, which included PA, SA, depressive condition (DC) and AC indicators
Among the young women who studied at school, there were 3 leading clusters, which characterized the features of the interconnections of the leading components QoL and PT, which included the cluster No 1, which united in its structure QoL characteristics according to the Role-Emotional (RE) and Role-Physical (RP) scales and LSC indicators in health and disease and neuroticism, cluster No 2, combining QoL characteristics according to the Physical Functioning (PF), Bodily Pain (BP), Mental Health (MH), General Health
Summary
While conducting scientific research in the field of theoretical and preventive medicine, biomedical preventive anthropology and statistical processing of their results, one of the leading places is occupied by cluster analysis procedures, which provide the search of grouping patterns as objects of research and their leading features in separate local sets and subsets, that is, into separate clusters [4, 17, 18, 19, 20, 22].a cluster is a group, a certain class, or a certain group of homogeneous units. The main task of cluster analysis is to recognize the formation of homogeneous groups, classes, or associations in the multidimensional space of the studied features that are calculated [2, 8, 14, 15, 16]. The degree of similarity of two separate units of the collectively. Such a metric can be the distance between them or the similarity factor. Units similar to the selected metrics define units as belonging to one type, ie as homogeneous. In this regard, the choice of metric is the nodal point of the cluster analysis, which determines the final variant of division of collectively into classes. According to the features of the metric scale, a distance matrix with zero diagonal elements is formed, which is the main information base of cluster analysis, with Euclidean and Manhattan distances being the most commonly used and popular metrics [3, 4, 5, 7, 9]
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