Psychomedical Intervention Model for Servicemen Based on a Study of Mental Disorders

The purpose of the article — is to assem and to analyze the influence of various harmful factors in combat environment on the psychological status and mental health of military personnel and ex-combatants for development of psychomedical intervention model. Results. A retrospective summarizing of av...

Full description

Saved in:
Bibliographic Details
Date:2019
Main Author: Shvets, A.V.
Format: Article
Language:English
Published: Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України 2019
Series:Кибернетика и вычислительная техника
Subjects:
Online Access:http://dspace.nbuv.gov.ua/handle/123456789/161750
Tags: Add Tag
No Tags, Be the first to tag this record!
Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Psychomedical Intervention Model for Servicemen Based on a Study of Mental Disorders / A.V. Shvets // Cybernetics and computer engineering. — 2019. — № 2 (196). — С. 80-100. — Бібліогр.: 26 назв. — англ.

Institution

Digital Library of Periodicals of National Academy of Sciences of Ukraine
Description
Summary:The purpose of the article — is to assem and to analyze the influence of various harmful factors in combat environment on the psychological status and mental health of military personnel and ex-combatants for development of psychomedical intervention model. Results. A retrospective summarizing of available information on the medical and psychological consequences of hybrid war relating to the characteristics of their aftereffects in recent years among military and demobilized persons has been performed. An assessment of stress factors impact at combat environment (physical, informational, organizational and anticipation) on military personnel participated in military conflict has been done. The specific features and structure of mental disorders in the military personnel, which were treated in hospital conditions have been revealed. The decision support model for reliable (p<0.001) prediction further adjustment disorders after extreme conditions has been developed.