Effect of automatic thinking on quality of life in patients with depression
自动性思维对抑郁症患者生活质量的影响观察

摘要

目的 重点对临床治疗抑郁症患者过程中自动性思维对患者生活质量影响进行探讨。方法 选取我院2020年2月至2022年3月间所收治的80例抑郁症患者作为研究对象，针对所有入选患者使用美国编制的《精神障碍诊断与统计手册第4版》轴Ⅰ障碍临床定式检查(SCID-I/P)对抑郁症患者进行诊断。同时通过汉密尔顿抑郁量表（HAMD-17）、汉密尔顿焦虑量表（HAMA）、自动性思维问卷（ATQ）对患者进行评估。结果 所有入选的86例患者经回归性分析发现，患者生活质量的生活领域、心理领域评分与HAMD-17之间存在负相关关系（P＜0.05）；患者生活质量领域四项指标与ATQ呈现负相关关系（P＜0.05）；且根据本次研究发现抑郁症患者的生活质量会受到反映复性认知的自我适应不良及寻求改变层面的巨大影响。结论 对于抑郁症患者来说自动性思维是影响其生活质量的一个重要因素，而且其中一部分自动性思维与抑郁严重程度相独立，由此可知在临床治疗抑郁症患者的过程中积极引导个体对于自我适应不良的自动性思维进行识别属于一个重点环节。

Abstract

Objective The focus of this study is on the impact of automatic thinking on the quality of life of patients with depression during clinical treatment.
Methods 80 patients with depression admitted to our hospital from February 2020 to March 2022 were selected as the study subjects, and all the selected patients were diagnosed with the axis I disorder clinical routine test (SCID-I/P) of the Diagnostic and Statistical Manual of Mental Disorders (4th Edition) compiled by the United States. At the same time, the patients were evaluated by Hamilton Depression Scale (HAMD-17), Hamilton Anxiety Scale (HAMA) and Automatic Thinking Questionnaire (ATQ).
Results The regression analysis of all 86 patients showed that there was a negative correlation between the scores of the quality of life in the field of life, psychological field and HAMD-17 (P<0.05); There was a negative correlation between the four indicators of patients' quality of life and ATQ (P; According to this study, it was found that the quality of life of patients with depression would be greatly affected by self-adaptation, that is, seeking for change, which reflected the complex cognition.
Conclusion   For patients with depression, automatic thinking is an important factor that affects their quality of life, and some of them are independent of the severity of depression, so it can be seen that in the process of clinical treatment of patients with depression, it is a key link to actively guide individuals to identify the automatic thinking of self-adaptation.