Analysis of family anxiety in women with depressive disorders of different genesis and macrosocial, mesosocial and microsocial maladaptation of different expression

R. Isakov
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Abstract

252 women with depressive disorders were examined: 94 people were with psychogenic (prolonged depressive reaction caused by adjustment disorder), 83 women were with endogenous (depressive episode; recurrent depressive disorder; bipolar disorder, current episode of depression) and 75 patients were with organic depression (organic affective disorders). 48 women had no signs of psychosocial maladaptation, the remaining 204 had manifestations of macrosocial, mesosocial and microsocial maladaptation of varying severity. The features of family anxiety in women with depression of various origins and different severity of macrosocial, mesosocial and microsocial maladaptation were investigated in order to determine the target targets of differentiated psychosocial rehabilitation of patients in this contingent. Clinical-psychopathological and psychodiagnostic methods were used. There was revealed a general tendency towards an increase in the indicators of family guilt, family anxiety and family tension as the degree of macrosocial, mesosocial and microsocial maladaptation increased. At the same time, the greatest differences in indicators were observed between the groups with moderate and severe maladaptation, and the smallest differences were observed between the groups without signs of disadaptation and with signs of mild maladaptation. The data obtained should be taken into account when developing treatment and rehabilitation measures for patients of this contingent.
不同成因抑郁症女性家庭焦虑及宏观、中、微观社会适应不良的不同表现分析
252例女性抑郁症患者:94例为心因性(由适应障碍引起的持续抑郁反应),83例为内源性(抑郁发作;复发性抑郁症;双相情感障碍(当前抑郁发作)和75例器质性抑郁(器质性情感障碍)。48名妇女没有心理社会适应不良的迹象,其余204名妇女有不同程度的宏观社会、中社会和微观社会适应不良的表现。探讨不同来源、不同程度宏观社会、中社会和微观社会适应不良的女性抑郁症患者的家庭焦虑特征,以确定这一群体患者差异化的心理社会康复目标。采用临床-精神病理学和精神诊断方法。随着宏观社会、中社会和微观社会适应不良程度的增加,家庭内疚感、家庭焦虑和家庭紧张等指标总体呈增加趋势。同时,中度和重度适应不良组间各项指标差异最大,无适应不良和轻度适应不良组间差异最小。在为这支特遣队的患者制定治疗和康复措施时,应考虑到所获得的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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