On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I
The authors have attempted to design and verify by means of mathematical modelling methods a model of comprehensive (medical, social and psychological) prognosis in cardiovascular disease, which would cover different aspects of patients’ disease, treatment and life functioning and would be relevant...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | Russian |
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Federal State Budget Scientific Institution National Medical Research Center for Psychiatry and Neurology n.a. V.M. Bekhterev Ministry of Health of the Russian Federation
2023-06-01
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| Series: | Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева |
| Subjects: | |
| Online Access: | https://www.bekhterevreview.com/jour/article/view/828 |
| _version_ | 1797698057851109376 |
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| author | O. Yu. Shchelkova M. V. Iakovleva D. A. Eremina R. Yu. Shindrikov N. E. Kruglova I. A. Gorbunov E. A. Demchenko |
| author_facet | O. Yu. Shchelkova M. V. Iakovleva D. A. Eremina R. Yu. Shindrikov N. E. Kruglova I. A. Gorbunov E. A. Demchenko |
| author_sort | O. Yu. Shchelkova |
| collection | DOAJ |
| description | The authors have attempted to design and verify by means of mathematical modelling methods a model of comprehensive (medical, social and psychological) prognosis in cardiovascular disease, which would cover different aspects of patients’ disease, treatment and life functioning and would be relevant to the objectives of the treatment and rehabilitation process. A multidisciplinary set of methods was used to accomplish the aim: clinical and psychological. The study included 437 patients with coronary heart disease and/or chronic heart failure undergoing surgical treatment.Part I of the article presents the results of the first 4 stages of the study. 1) A theoretical prediction model based on existing data was developed and empirically tested on different patient populations at various stages of surgical treatment. 2) An overall information database was compiled on the basis of our own research. A total of 245 indicators were taken into account; they were expertly divided into five groups: clinical, socio-behavioural, personality characteristics, emotional state indicators, and cognitive functioning indicators. 3) The missing cells in the sampling matrix were filled in by means of mathematical modelling and neural networks. 4) An exploratory factor analysis of all characteristics in the allocated groups was performed, resulting in 24 factors: 3 in the group of clinical characteristics (“Coronary heart disease”, “Transplantation”, “Patient’s age and duration of heart failure”), 6 in the group of socio-behavioural (“Social and occupational orientation”, “Keeping a habitual lifestyle in spite of illness”, “Occupational strain”, “Lifestyle”, “Non-adherent behaviour”, “Occupational stress”), 5 in the group of personality characteristics (“Attitude towards illness”, “Motivational orientation”, “Decreased resilience”, “Irrational beliefs”, “Coping strategies and coping resources”), 4 in the group of emotional state characteristics (“Dominant emotional state and feelings”, “Quality of life and mood”, “Absence of anxiety at the moment of the study”, “Functioning in conditions of illness”), 6 in the group of characteristics of cognitive functioning (“Neuropsychological characteristics”, “Spatial–constructive thinking and pace of mental activity”, “Visual memory”, “Attention and verbal–logical thinking”, “Verbal memory”, “No significant decrease in IQ”). |
| first_indexed | 2024-03-12T03:48:31Z |
| format | Article |
| id | doaj.art-6ae9ba3f7689410188debca3a8bc54f6 |
| institution | Directory Open Access Journal |
| issn | 2313-7053 2713-055X |
| language | Russian |
| last_indexed | 2024-03-12T03:48:31Z |
| publishDate | 2023-06-01 |
| publisher | Federal State Budget Scientific Institution National Medical Research Center for Psychiatry and Neurology n.a. V.M. Bekhterev Ministry of Health of the Russian Federation |
| record_format | Article |
| series | Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева |
| spelling | doaj.art-6ae9ba3f7689410188debca3a8bc54f62023-09-03T12:35:01ZrusFederal State Budget Scientific Institution National Medical Research Center for Psychiatry and Neurology n.a. V.M. Bekhterev Ministry of Health of the Russian FederationОбозрение психиатрии и медицинской психологии имени В.М. Бехтерева2313-70532713-055X2023-06-01572627410.31363/2313-7053-2023-731497On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part IO. Yu. Shchelkova0M. V. Iakovleva1D. A. Eremina2R. Yu. Shindrikov3N. E. Kruglova4I. A. Gorbunov5E. A. Demchenko6Saint Petersburg State UniversitySaint Petersburg State UniversitySaint Petersburg State UniversityPavlov First Saint Petersburg State Medical UniversityHerzen State Pedagogical University of RussiaSaint Petersburg State UniversityAlmazov National Medical Research CentreThe authors have attempted to design and verify by means of mathematical modelling methods a model of comprehensive (medical, social and psychological) prognosis in cardiovascular disease, which would cover different aspects of patients’ disease, treatment and life functioning and would be relevant to the objectives of the treatment and rehabilitation process. A multidisciplinary set of methods was used to accomplish the aim: clinical and psychological. The study included 437 patients with coronary heart disease and/or chronic heart failure undergoing surgical treatment.Part I of the article presents the results of the first 4 stages of the study. 1) A theoretical prediction model based on existing data was developed and empirically tested on different patient populations at various stages of surgical treatment. 2) An overall information database was compiled on the basis of our own research. A total of 245 indicators were taken into account; they were expertly divided into five groups: clinical, socio-behavioural, personality characteristics, emotional state indicators, and cognitive functioning indicators. 3) The missing cells in the sampling matrix were filled in by means of mathematical modelling and neural networks. 4) An exploratory factor analysis of all characteristics in the allocated groups was performed, resulting in 24 factors: 3 in the group of clinical characteristics (“Coronary heart disease”, “Transplantation”, “Patient’s age and duration of heart failure”), 6 in the group of socio-behavioural (“Social and occupational orientation”, “Keeping a habitual lifestyle in spite of illness”, “Occupational strain”, “Lifestyle”, “Non-adherent behaviour”, “Occupational stress”), 5 in the group of personality characteristics (“Attitude towards illness”, “Motivational orientation”, “Decreased resilience”, “Irrational beliefs”, “Coping strategies and coping resources”), 4 in the group of emotional state characteristics (“Dominant emotional state and feelings”, “Quality of life and mood”, “Absence of anxiety at the moment of the study”, “Functioning in conditions of illness”), 6 in the group of characteristics of cognitive functioning (“Neuropsychological characteristics”, “Spatial–constructive thinking and pace of mental activity”, “Visual memory”, “Attention and verbal–logical thinking”, “Verbal memory”, “No significant decrease in IQ”).https://www.bekhterevreview.com/jour/article/view/828biopsychosocial approachcardiopsychologyhigh-tech heart surgerycognitive functioningadherence to treatmenthealth-related quality of lifepredictive model |
| spellingShingle | O. Yu. Shchelkova M. V. Iakovleva D. A. Eremina R. Yu. Shindrikov N. E. Kruglova I. A. Gorbunov E. A. Demchenko On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I Обозрение психиатрии и медицинской психологии имени В.М. Бехтерева biopsychosocial approach cardiopsychology high-tech heart surgery cognitive functioning adherence to treatment health-related quality of life predictive model |
| title | On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I |
| title_full | On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I |
| title_fullStr | On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I |
| title_full_unstemmed | On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I |
| title_short | On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I |
| title_sort | on the development of a systemic biopsychosocial prediction model for cardiovascular disease part i |
| topic | biopsychosocial approach cardiopsychology high-tech heart surgery cognitive functioning adherence to treatment health-related quality of life predictive model |
| url | https://www.bekhterevreview.com/jour/article/view/828 |
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