慢性阻塞性肺疾病病人呼吸困难恐惧的异质性因素探讨

    Study on the heterogeneous factors of dyspnea fear in patients with chronic obstructive pulmonary disease

    • 摘要:
      目的: 探索慢性阻塞性肺疾病(COPD)病人呼吸困难恐惧的异质性因素,并分析不同群体异质性病人的生活质量差异。
      方法: 选择194例COPD病人为研究对象。采用一般资料调查表、呼吸困难信念问卷进行对病人进行调查。采用潜在剖面分析进行呼吸困难恐惧的异质性检验,探索COPD病人呼吸困难恐惧的潜在分类,采用logistic回归模型分析探讨COPD病人呼吸困难恐惧潜在分类的影响因素。
      结果: COPD病人呼吸困难恐惧分为轻度恐惧组、中度恐惧组和过度恐惧组3个潜在类别;不同呼吸困难恐惧潜在类别病人在吸烟、久坐习惯、疾病分期、呼吸困难程度、焦虑、抑郁、自我效能、应对方式得分方面比较差异有统计学意义(P < 0.05);logistic回归分析显示,吸烟、久坐习惯、疾病分期、呼吸困难程度、焦虑、抑郁、自我效能、应对方式得分是COPD病人呼吸困难恐惧类别的影响因素(P < 0.05);不同呼吸困难恐惧潜在类别病人的生活质量评分对比差异有统计学意义(P < 0.01)。
      结论: COPD病人的呼吸困难恐惧水平存在群体异质性,且不同类别病人的生活质量评分具有显著差异,医务人员应基于COPD病人呼吸困难恐惧的同质群体,结合个体类别特征,制定并实施干预方案。

       

      Abstract:
      Objective To explore the heterogeneous factors of dyspnea fear in patients with chronic obstructive pulmonary disease (COPD), and analyze the differences in quality of life (QOL) among different patients with heterogeneity.
      Methods A total of 194 COPD patients were selected as the study subjects. The general demographic questionnaires and Dyspnea Belief Questionnaire were used to investigate the patients. Latent profile analysis was employed to examine the heterogeneity of dyspnea fear, the potential classification of dyspnea fear in COPD patients was investigated, and the influencing factors of the potential classification of dyspnea fear in COPD patients were analyzed using logistic regression models.
      Results The dyspnea fear in COPD patients was divided into three potential categories: low fear group, moderate fear group and excessive fear group. The significant differences were observed in smoking, sedentary habits, disease stage, degree of dyspnea, anxiety, depression, self-efficacy and coping style scores among patients with different potential categories of dyspnea fear (P < 0.05). The results of logistic regression analysis revealed that the smoking, sedentary habits, disease stage, degree of dyspnea, anxiety, depression, self-efficacy and coping style scores were the influencing factors of the dyspnea fear category in COPD patients (P < 0.05). The significant differences were also observed in QOL scores among patients with different potential categories of dyspnea fear (P < 0.01).
      Conclusions There is group heterogeneity in the level of dyspnea fear among COPD patients, and the significant differences in QOL scores exist among patients with different categories. Healthcare professionals should develop and implement intervention programs based on homogeneous groups of COPD patients with dyspnea fear, taking into account individual category characteristics.

       

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