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非器质性呼吸困难急救患者负性情绪状况研究 被引量:2

State of negative emotions in patients with non-organic dyspnea
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摘要 目的探讨非器质性呼吸困难急救患者的负性情绪及影响因素。方法选取104例非器质性呼吸困难患者,采用抑郁自评量表(SDS)、焦虑自评量表(SAS)对其进行评估。Logistic回归分析其影响因素。结果SDS>53分的患者共有22例(21.2%),SDS平均得分(41.27±11.65)分。SAS>50分的患者共有34例(32.7%),SAS平均得分(36.82±12.45)分。抑郁、焦虑同时发生者共15例(14.4%)。发生抑郁、焦虑情绪患者的女性比例、非本地居民、发生呼吸困难次数显著高于未发生抑郁、焦虑情绪患者,受教育年限低于未发生患者。性别(O^R=3.221;O^R=3.112)、本地居民(O^R=4.163;O^R=2.894)、发生次数(O^R=3.776;O^R=2.966)、受教育年限(O^R=1.908;O^R=1.683)均是非器质性呼吸困难患者抑郁、焦虑情绪的影响因素。结论女性、非本地居民、发生呼吸困难次数多于1次、受教育低的非器质性呼吸困难患者易发生抑郁、焦虑情绪。 【Objective】To investigate the state and influential factors of negative emotions in patients with nonorganic dyspnea. 【Methods】One hundred and four patients with non-organic dyspnea were selected and assessed with Self-rating Depression Scale(SDS) and Self-rating Anxiety Scale(SAS). The influential factors of negative emotions were analyzed by logistic regression analysis.【Results】The average score of SDS was(41.27 ± 11.65) and 22cases(21.2%) obtained the score of SDS over 53. The average score of SAS was(36.82 ± 12.45) and 34 cases(32.7%) obtained the score of SDS over 50. There were 15 cases(14.4%) with both depression and anxiety. The ratio of female and nonnative inhabitant and the frequency of dyspnea in the cases with depression and anxiety were higher than those in the cases without depression or anxiety. The education level in the cases with depression and anxiety was lower than in the cases without depression or anxiety. Gender(^O R =3.221;^O R =3.112), native inhabitant(^O R =4.163;^O R =2.894), frequency of dyspnea(^O R =3.776;^O R =2.966) and education level(^O R =1.908;^O R =1.683) were the influence factors of depression and anxiety in patients with non-organic dyspnea. 【Conclusions】Female, nonnative inhabitant, frequency of dyspnea 〉1 and the low education level patients with non-organic dyspnea could get depression and anxiety.
出处 《中国现代医学杂志》 CAS 北大核心 2015年第18期77-80,共4页 China Journal of Modern Medicine
关键词 非器质性呼吸困难 焦虑 抑郁 LOGISTIC回归 non-organic dyspnea anxiety depression logistic regression analysis
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