روانشناسی سلامت

با همکاری مشترک دانشگاه پیام نور و انجمن روانشناسی سلامت

شماره جاری

بر اساس شماره‌های نشریه

بر اساس نویسندگان

بر اساس موضوعات

نمایه نویسندگان

نمایه کلیدواژه ها

درباره نشریه

اهداف و چشم انداز

اعضای هیات تحریریه

اصول اخلاقی انتشار مقاله

بانک ها و نمایه نامه ها

پیوندهای مفید

پرسش‌های متداول

فرایند پذیرش مقالات

اطلاعات آماری نشریه

اخبار و اعلانات

بررسی اثر اختلالات روانی بر بروز بیماری‏های جسمی در همبودی‌های دوگانه با استفاده از یادگیری ماشینی

نوع مقاله : علمی- پژوهشی

نویسندگان

1 کارشناسی ارشد روان شناسی بالینی، دانشگاه پیام نور، تهران، ایران.

2 دانشیار گروه روان شناسی، دانشگاه پیام نور، تهران، ایران.

3 استاد گروه روان شناسی، دانشگاه پیام نور، تهران، ایران.

چکیده

مقدمه: مقدمه: تحقیقات نشان داده‏اند که اختلالات روانی می‏توانند باعث بروز بیماری‏های جسمی شوند. از سوی دیگر، بسیاری از بیماری ‏های جسمی نیز با یکدیگر همبودی دارند. این مطالعه با هدف بررسی اثر
ارتباطات اختلالات روانی در بروز بیماری‏های جسمی در همبودی‏های دوگانه انجام شد.
روش: مطالعه حاضر از نوع زمینه‏یابی- همبستگی بود. جامعه آماری شامل زنان و مردان بزرگسال 18 تا 80 سال، ساکن شهر تهران بودند که در شش ماهه اول سال 1399 به علت بیماری به مراکز درمانی مراجعه کرده بودند. نمونه‌گیری خوشه‌ای در دسترس بود. کل شرکت کنندگان در طرح 304 نفر بودند که تعداد گروه همبودی دوگانه (2 مورد ابتلا) 110 نفر بود. ابزارهای اندازه‌گیری شامل چک لیست استاندارد بیماری‌های جسمی و فهرست علائم بالینی scl -90 می‌باشد. جهت تجزیه و تحلیل اطلاعات از شیوه یادگیری ماشینی استفاده شد.
یافته‌ها: نتایج نشان داد که بیش از همه بروز فشارخون و سردرد تحت تاثیر پرخاشگری، مشکلات قلبی و آرتروز تحت تاثیر افسردگی، دیابت تحت تاثیر اضطراب، مشکلات تنفسی و گوارشی تحت تاثیر ترس مرضی، چاقی و آلرژی تحت تاثیر وسواس، و بیماری‏های پوستی تحت تاثیر مشکلات تعاملی قرار دارند.
نتیجه‌گیری: با توجه به نتایج مشخص می‏گردد که بروز بیماری‏های جسمی در همبودی‏های دوگانه تحت تاثیر اختلالات روانی قرار دارند. درک این موجب ارتقای بینش ما شده و کاربردهای عملی در آسیب‏شناسی و طراحی مداخلات خواهد داشت.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Investigating the Effect of Mental Disorders on the Occurrence of Physical Diseases in Dual Comorbidities by Using Machine Learning

نویسندگان [English]

  • Masoumeh Taghi Ahangari Khiavi 1
  • susan alizadehfard 2
  • Ahmad Alipour 3

1 Master of Clinical Psychology, Payame Noor University, Tehran. IRAN.

2 Associate Professor, Department of Psychology, Payame Noor University. Tehran, IRAN.

3 Professor, Department of Psychology, Payame Noor University, Tehran. IRAN

چکیده [English]

Objectives: Researches have shown that mental disorders can lead to physical diseases. On the other hand, many physical diseases also coexist with each other. This study aims to investigate the effect of mental disorders on the occurrence of physical diseases in dual comorbidities. Method: The present study was a survey-correlation study. The statistical population included men and women aged 18 to 80, residing in Tehran, who had visited medical centers due to illness in the first six months of 2019. Sampling conducted in a cluster form. The total number of participants in the project was 304 people that the number of dual comorbidity group (coexist of two diseases) was 110 people. Research tools included the standard physical illness checklist and the SCL-90 clinical symptom inventory. Machine learning used for data analyze. This work did with the help of Python-3.7.4 software and Scikit-learn-0.23.0 program. In order to check the hypotheses of the research, the random forest model strategy (Random Forest) used for machine learning. Results: The results showed that embodied diseases related to psychological problems and the pattern of psychological disorders in these patients could predicted. In this study, it determined that blood pressure and headache influenced by aggression, heart problems and arthritis related to depression, diabetes related to anxiety pattern, respiratory and digestive problems influenced by phobia, obesity and allergies related to obsession; and finally, skin diseases affected by interactive and interpersonal problems. In addition, a pattern of physical diseases identified by examining psychological disorders. The results showed that interpersonal interactions, obsession and anxiety have the most relationship with the incidence of obesity; depression has the greatest effect on heart diseases, phobia related to respiratory diseases, and aggression also related to diabetes. But interestingly, the highest correlation and the most significant pattern saw between obsession and obesity. Conclusion: With the help of machine learning method, this research showed that there are significant relationships between physical diseases and psychological disorders, as patterns of these relationships can inferred. The understanding and identification of these dual comorbidities will not only improve our knowledge in the boundaries of knowledge, but also have practical applications in pathology, treatment and design of special interventions for physical and psychological disorders. Also, the alignment of these results with previous research literature is a confirmation of the application of machine learning in later psychology and health studies

کلیدواژه‌ها [English]

  • Mental Disorders
  • Physical Diseases
  • Dual Comorbidity
  • Machine Learning
مراجع
Adibi, N., Shafiei, K., Izadi, B., Afshar, H., & Bagherian-Sararoudi, R. (2013). Evaluation of Psychological Profile of Patients with Skin Lesions. Journal of Isfahan Medical School, 31(236), 630-639. [In Persian]
Arokiasamy, P., Uttamacharya, U., Jain, K., Biritwum, R. B., Yawson, A. E., Wu, F. & Kowal, P. (2015). The impact of multimorbidity on adult physical and mental health in low-and middle-income countries: what does the study on global ageing and adult health (SAGE) reveal?. BMC medicine, 13(1), 1-16.‏
Bagheri, M., Farahani, M. T., & Hassanabadi, H. (2019). The Modeling of psychosocial-cultural factors the quality of life of patients with coronary heart disease. Health Psychology, 8(30), 7-25. [In Persian] doi: 10.30473/hpj.2019.42262.4135
Barnett, K., Mercer, S. W., Norbury, M., Watt, G., Wyke, S., & Guthrie, B. (2012). Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. The Lancet, 380(9836), 37-43.‏
Biabangard E, Javadi F. (2005). Study of Mental Health in Tehran's Adolescents and Youngs. refahj. 4(14), 156-130. [In Persian] URL: http://refahj.uswr.ac.ir/article-1-1897-en.html
Birk, J. L., Kronish, I. M., Moise, N., Falzon, L., Yoon, S., & Davidson, K. W. (2019). Depression and multimorbidity: Considering temporal characteristics of the associations between depression and multiple chronic diseases. Health Psychology, 38(9), 802–811.
Cheraghi, Fatima. (1994). Comparative study of psychosocial development of children with thalassemia in Tehran. Master's thesis, Tehran University of Medical Sciences and Health Services. [In Persian]
Derogatis, L. R., Rickels, K., & Rock, A. F. (1984). The SCL-90 and the MMPI: A step in thevalidation of a new self-report scale. The British Journal of Psychiatry, 128(3), 280-289
Faramarzinia, E., Besharat, M. A. (2010). Study the relationship of anxiety and anger with chronic hypertension. Medical Sciences Journal of Islamic Azad University,Tehran Medical Branch, 20 (2) :136-141. [In Persian]. http://tmuj.iautmu.ac.ir/article-1-300-fa.html.
Farooq, S., Khan, T., Zaheer, S., & Shafique, K. (2019). Prevalence of anxiety and depressive symptoms and their association with multimorbidity and demographic factors: a community-based, cross-sectional survey in Karachi, Pakistan. BMJ open, 9(11), e029315.‏ doi:10.1136/ bmjopen-2019-029315
Farrokhnia, M., Fathi-Ashtiani, A., Ashrafi, E., & Abtahei, F. (2022). Effectiveness of Parent-Focused Interventions in the Treatment of Childhood and Adolescent Obesity: A Systematic Review Article. Health Psychology, 11(42), 45-66. [In Persian] doi: 10.30473/hpj.2022.59603.5262
Farzinrad, B., Maghsoudi, K., & Malalkouti, K.. (2009). Assesmant of mental disorders in cerebral storke patients admitted at Rasool hospital. Journal of shahid adoughi University of Medical Sciances, 17(2 (65)), 10-14. [In Persian] https://sid.ir/paper/35733/en.
Gaulin, M., Simard, M., Candas, B., Lesage, A., & Sirois, C. (2019). Combined impacts of multimorbidity and mental disorders on frequent emergency department visits: a retrospective cohort study in Quebec, Canada. CMAJ, 191(26), E724-E732.‏ doi: 10.1503/cmaj.181712.
Gould, C. E., O'Hara, R., Goldstein, M. K., & Beaudreau, S. A. (2016). Multimorbidity is associated with anxiety in older adults in the Health and Retirement Study. International journal of geriatric psychiatry, 31(10), 1105-1115.‏
Ivbijaro G. O. (2010). Mental health and chronic physical illnesses: the need for continued and integrated care - World Mental Health Day 2010. Mental health in family medicine, 7(3), 127.
Julie Langan et al. (2013). Multimorbidity and mental health: can psychiatry rise to the challenge?. The British Journal of Psychiatry, 202, 391-393. doi: 10.1192/bjp.bp.112.123943.
Khanjani, Z., pousharifi, H., Mashini Abasi, A., & Hashemi, T. (2013). Serum Cholesterol Levels and Anxiety Diorders. Health Psychology, 2(6), 62-78. [In Persian] 20.1001.1.23221283.1392.2.6.5.9
Kheirabadi, G., Salmasi, E., Akbaripour, S., & Naderian, M. (2011). Obsessive – Compulsive Disorder in Eczematous Patients Referred to a Public Dermatology Clinic in Isfahan, Iran. Journal of Isfahan Medical School, 29(132), 281-288. [In Persian]
Langan, S. M., Smeeth, L., Margolis, D. J., & Thomas, S. L. (2013). Herpes zoster vaccine effectiveness against incident herpes zoster and post-herpetic neuralgia in an older US population: a cohort study. PLoS medicine, 10(4), e1001420. https://doi.org/10.1371/journal.pmed.1001420
Low, L. L., Kwan, Y. H., Ko, M. S. M., Yeam, C. T., Lee, V. S. Y., Tan, W. B., & Thumboo, J. (2019). Epidemiologic characteristics of multimorbidity and sociodemographic factors associated with multimorbidity in a rapidly aging Asian country. JAMA network open, 2(11), e1915245-e1915245.‏
Mahvi, M., Fathi, A., Rasoulzadeh, S., & Amini, M. (2011). Personal Traits Levels of IBS, IBD Patients and Healthy People: A Comparative Study. Journal of Modern Psychological Researches, 6(21), 151-163. [In Persian]
Moharreri, F., Rezaeitalab, F., Sadjadi, S. A. R., & Sarjamei, S. (2013). The comparison of anxiety and depression among patients with bronchial asthma, chronic obstructive pulmonary disease and lung tuberculosis. Journal of Fundamentals of Mental Health, 15(58), 82-90. [In Persian] doi: 10.22038/jfmh.2013.1420
Najarian, B. and Davoodi, A. (2002). Construction and validation of scl-90-R. Ahvaz Journal of Psychology and Educational Sciences, 3(2), 149-136. [In Persian]
Nematpour, S., Shahbazian, H.B., Gholampour, A. (2010). The Study of the psychological problems of people with diabetes mellitus. Jundishapur Medical Scientific Journal, 9(4), 352-345. [In Persian]
Plana-Ripoll, O., Pedersen, C. B., Holtz, Y., Benros, M. E., Dalsgaard, S., De Jonge, P., ... & McGrath, J. J. (2019). Exploring comorbidity within mental disorders among a Danish national population. JAMA psychiatry, 76(3), 259-270.‏
Read, J.R., Sharpe, L., Modini, M., Dear, B. F. (2017). Multimorbidity and depression: A systematic review and meta-analysis. Journal of Affective Disorders, 221, 36-46. https://doi.org/10.1016/j.jad.2017.06.009.
Rostami Amin, M., & Zoghi Paydar, M. R. (2022). Comparison of the effectiveness of motivational interviewing and schema therapy combined with motivational interviewing on reducing depression and anxiety in patients with Chroni Renal. Health Psychology, 10(40), 7-30. [In Persian] doi: 10.30473/hpj.2022.59587.5266
Sahranavard S, Ahadi H, Taghdisi M H, kazemi T, kraskian A. (2017). The Role of Psychological Factors on The Psychological and Social Adjustment Through The Mediation of Ischemic Heart Disease Hypertension. Iran Journalof Health Education and Health Promotion; 5 (2) :139-146. [In Persian] http://journal.ihepsa.ir/article-1-656-en.html
Tavalaei, S.A., Naderi, Z., & Najafi, M.. (2006). Personality status and general health of kidney transplant candid patients. Journal of Psychology, 9(4 (36)), 429-439. [In Persian] https://sid.ir/paper/54499/en
Wang, Y. P., Nunes, B. P., Coêlho, B. M., Santana, G. L., do Nascimento, C. F., Viana, M. C. & Chiavegatto Filho, A. D. (2019). Multilevel analysis of the patterns of physical-mental multimorbidity in general population of Sao Paulo Metropolitan Area, Brazil. Scientific reports, 9(1), 1-12.
روانشناسی سلامت
دوره 12، شماره 48
اسفند 1402
صفحه 73-82
فایل ها
هم رسانی
ارجاع به این مقاله
آمار