A CONCEPTUAL MODEL OF CAUSAL RELATIONSHIPS WITHIN THE BIOPSYCHOSOCIAL STATUS OF THE POPULATION: THEORETICAL AND METHODOLOGICAL JUSTIFICATION
DOI:
https://doi.org/10.11603/1681-2786.2025.2.15500Keywords:
health; population, sociological research; biostatistical analysis; conceptual model; risk factors; causal relationships; biopsychosocial profile.Abstract
Aim of the Study. To conduct a scholarly elaboration and provide a theoretical and methodological justification for a conceptual biostatistical-mathematical model intended for the comprehensive analysis and identification of causal patterns within the biopsychosocial profile of the population, based on the findings of a sociological survey. Materials and Methods. Based on the results of a comprehensive epidemiological, applied, analytical-descriptive, and monographic study incorporating elements of heuristic systems modelling theory, an analytical and managerial conceptual biostatistical-mathematical model was developed to identify causal relationships within the context of a multifactorial approach to health, grounded in empirical sociological data. Results. It was established that the developed Model – a multilevel logical-structural algorithm – is based on three stages: Step 1 – identification of determinants; Step 2 – biostatistical verification; Step 3 – analytical interpretation, conclusions, and recommendations. This sequence ensures the systematic structuring of the identified interrelations among the studied biostatistical parameters, in accordance with sociological data. It has been demonstrated that when the content and theoretical-methodological foundation of the Model are combined with an integrated systems-based approach, they embody a clearly defined purpose, core analytical and applied objectives, a three-tier logical-structural design, scientific novelty, and high practical value. These features align with the conceptual principles and instruments of applied implementation in medical science, thus ensuring the Model’s integrity, adaptability, and relevance in the current context of health system development. Conclusion. The theoretical and methodological foundation of the proposed Model integrates the biopsychosocial approach, systems analysis, the principles of evidence-based medicine, and contemporary biostatistical methods. This integration ensures the Model’s coherence and scientific validity as a tool for biostatistical and mathematical analysis of the interrelations between socio-medical determinants and the health status of the population.
References
Лехан В. М., Крячкова Л. В. Система заходів щодо покращення здоров'я населення України на основі аналізу глобального тягаря хвороб та його факторів ризику. Медичні перспективи. 2019. Т. 24, № 3. С. 113–122. URL: https://journals.uran.ua/index.php/2307-0404/article/view/181893
Ковальська О.Р ., Рудень В. В., Тимченко Н. Ф. Шкідливі для здоров’я звички поведінки як фактори ризику та їх причинний вплив на захворюваність та смертність від гострого інфаркту міокарда серед населення Львівської області. Український медичний журнал. 2017. 11 квітня URL: https://umj.com.ua/en/publication-145880-harmfulfor-health-behavior-habits-as-risk-factors-and-their-causal-effect-on-morbidity-and-mortality-from-acute-myocardial-infarction-among-the-population-of-the-lviv-region?utm_source=chatgpt.com
Вербець В. В. Методологія та методика соціологічних досліджень : навч.-метод. посіб. 2-ге вид., доп. і перероб. Рівне : РДГУ, Ін-т соціальних досліджень, 2006. 167 с. URL: https://eprints.oa.edu.ua/id/eprint/376/1/metodolog.pdf
Katikireddi S. V., Campbell D., Munafò M., Dixon P., Jones H. E., Rice F., Davies N. M., Howe L. D. The causal effects of health conditions and risk factors on social and socioeconomic outcomes: Mendelian randomization in UK Biobank. International journal of epidemiology. 2020. Vol. 49(5). P. 1661–1681 URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746412/ DOI: https://doi.org/10.1093/ije/dyaa114
Davison A.C. Statistical Models. Cambridge: Cambridge University Press, 2003 738 p URL: https://www.utstat.toronto.edu/~brunner/books/Davison%20Statistical%20Models.pdf
Jones P.W., Smith P. Stochastic Processes: An Introduction. 3rd ed. Boca Raton: Chapman & Hall/CRC, 2017. 271 p.
Borsboom D., Cramer A.O. Network analysis: an integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology. 2013. Vol. 9. P. 91–121. URL: https://doi.org/10.1146/annurev-clinpsy-050212-185608 DOI: https://doi.org/10.1146/annurev-clinpsy-050212-185608
Simon H.A. The Sciences of the Artificial. 3rd ed. Cambridge (MA): MIT Press, 1996. 241 p. URL: https://monoskop.org/images/9/9c/Simon_Herbert_A_The_Sciences_of_the_Artificial_3rd_ed.pdf
Кульчицький І. Й. Концептуалізація понять «модель» та «моделювання» у наукових дослідженнях. Вісник Нац. ун-ту «Львівська політехніка». 2016. № 846. С. 19–25. URL: https://science.lpnu.ua/sites/default/files/journalpaper/2018/jun/12897/19kulchickiyimkonceptual.pdf
Engel G.L. The need for a new medical model: A challenge for biomedicine. Science. 1977. Vol. 196(4286). P. 129–136. DOI: https://doi.org/10.1126/science.847460
URL: https://www.science.org/doi/10.1126/science.847460
Dubin R. Theory Building. New York : Free Press, 1978. 298 p. URL: https://books.google.com.ua/books/about/Theory_Building.html?id=zT0oyAEACAAJ&redir_esc=y
Василенко О. А., Сенча І. А. Математично-статистичні методи аналізу у прикладних дослідженнях : навч. посіб. Одеса : ОНАЗ ім. О. С. Попова, 2011. 166 с. URL: http://www.immsp.kiev.ua/postgraduate/Biblioteka_trudy/Vasylenko_Sencha_Matem._statyst.metody_2011.pdf
Bhattacherjee A. Social science research: Principles, methods, and practices. 2nd ed. University of South Florida, 2012. URL: https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=1002&context=oa_textbooks
Carlin J.B., Moreno-Betancur M. On the uses and abuses of regression models: A call for reform of statistical practice and teaching / arXiv preprint. 2023. arXiv:2309.06668. URL: https://arxiv.org/abs/2309.06668
Lee Y., Ogburn E.L. Network dependence can lead to spurious associations and invalid inference / arXiv preprint. 2019. arXiv:1908.00520. URL: https://arxiv.org/abs/1908.00520
Shaw P.A. та ін. Epidemiologic analyses with error-prone exposures: Review of current practice and recommendations / arXiv preprint. 2018. arXiv:1802.10496. URL: https://arxiv.org/abs/1802.10496
Tufekci Z. Big questions for social media big data: Representativeness, validity and other methodological pitfalls / arXiv preprint. 2014. arXiv:1403.7400. URL: https://arxiv.org/abs/1403.7400 DOI: https://doi.org/10.1609/icwsm.v8i1.14517
Ogburn E. L., Lee Y., Network dependence can lead to spurious associations and invalid inference. arXiv preprint. 2019. URL: https://arxiv.org/abs/1908.00520:content Reference [oaicite:15]{index=15}
Про внесення змін до переліку галузей знань і спеціальностей : Постанова Кабінету Міністрів України від 30 серпня 2024 р. № 1021. URL: https://zakon.rada.gov.ua/laws/show/1021-2024-п#n2
Creswell J.W., Creswell J.D. Research design: Qualitative, quantitative, and mixed methods approaches. 5th ed. Sage Publications, 2018. 438 p URL: https://spada.uns.ac.id/pluginfile.php/510378/mod_resource/content/1/creswell.pdf
Stetler C.B. Updating the Stetler Model of Research Utilization to facilitate evidence-based practice. Nursing Outlook. 2001. Vol. 49(6). P. 272–279. URL: https://doi.org/10.1067/mno.2001.120517 DOI: https://doi.org/10.1067/mno.2001.120517
Ціборовський О. М., Дзюба О. М. Теоретико-методологічні засади державного управління сферою охорони здоров’я. Україна: аспекти праці. 2014. № 9. С. 3–7. URL: https://www.dy.nayka.com.ua/?op=1&z=953
INACSL Standards Committee. Healthcare Simulation Standards of Best Practice®. Clinical Simulation in Nursing. 2021. URL: https://doi.org/10.1016/j.ecns.2021.08.018 DOI: https://doi.org/10.1016/j.ecns.2021.08.018
Лісовська О. В. Трансформаційна модель ринку охорони здоров’я в Україні в умовах євроінтеграції. Вісник Тернопільського національного економічного університету. 2023. № 1. С. 112–120. URL: https://visnykj.wunu.edu.ua/index.php/htn
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