Psychoemotional characteristics in psychosomatic diseases
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.57Keywords:
psychodiagnostics, psychocorrection, psychosomatic diseases, psychoprophylactic measures, depression, patients with oncological, cardiological, endocrinological and gastrointestinal diseasesDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
It was prepared based on the results of the research conducted at the "Family and Women" Research Institute. This article describes psychoemotional changes in patients with psychosomatic diseases. While the emotions of anger and sadness predominate in patients with cardiological and gastrointestinal diseases, the feeling of fear is more pronounced in patients with endocrinological diseases than other emotional states. In addition, the results of the analysis of the cognitive, emotional, and conative components of the internal appearance of the disease proved that the psychological state of the patient, his attitude to his disease and the treatment process depend on the character of the disease, the possibilities of recovery, the course of the disease and the effectiveness of the treatment.Abstract
How to Cite
Downloads
Similar Articles
- Ritika Goyal, Payal Thakur, Influence of Entrepreneurial Characteristics on the Performance of MSMEs in Gautam Buddha Nagar , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- N. Suresh Kumar, S.N.Md. Assarudeen, Solving neutrosophic multi-objective linear fractional programming problem using central measures , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- V Babydeepa, K. Sindhu, A hybrid feature selection and generative adversarial network for lung and uterus cancer prediction with big data , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. TAMIL FATHIMA, K. FATHIMA BIBI, Early diagnosis of cardiac disease using Xgboost ensemble voting-based feature selection, based lightweight recurrent neural network approach , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- B Tharini, R. Rajasudha , A Kannammal, Performance analysis of microstrip patch antenna using binomial series expansion , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- R. A. Askerov, The role of improving the business environment in agriculture in ensuring the country’s food security , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Hardik Talsania, Kirit Modi, Attention-Enhanced Multi-Modal Machine Learning for Cardiovascular Disease Diagnosis , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- K. P. SINGH, NIDHI TRIPATHI, ANTIPSYCHOTIC MEDICATION DURING PREGNANCY AND POSSIBLE BIRTH DEFECTS , The Scientific Temper: Vol. 2 No. 1&2 (2011): The Scientific Temper
- Jasleen Kaur, Sultan Singh, Assessing the Impact of Stress on the Health and Job Performance of Employees in Indian Banks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A framework for diabetes diagnosis based on type-2 fuzzy semantic ontology approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
You may also start an advanced similarity search for this article.
