医学
肺病
随机对照试验
慢性阻塞性肺病
物理疗法
疾病
星团(航天器)
重症监护医学
内科学
计算机科学
程序设计语言
作者
Xiaowei Zuo,Peian Lou,Yanan Zhu,Bi Chen,Xianghua Zhu,Peipei Chen,Zongmei Dong,Xuan Zhu,Ting Li,Pan Zhang
标识
DOI:10.1177/17534666221111876
摘要
Background and objective: This study was performed to investigate the effect of expressive art therapy (EAT) on the health status of patients with chronic obstructive pulmonary disease (COPD). Methods: This community-based cluster randomized controlled trial involved patients with COPD from 16 communities in China. Participants received either EAT plus usual care (UC) or UC only. General practitioners were trained in EAT before the intervention. The primary outcomes were depression and anxiety symptoms, measured with the Hospital Anxiety and Depression Scale (HADS) and expressed as the HADS score for depression or anxiety (HADS-D or HADS-A, respectively). The secondary outcomes were the quality of life and dyspnoea, measured with the COPD assessment test (CAT). Dyspnoea was assessed using the modified Medical Research Council (mMRC) dyspnoea scale. Lung function was expressed as the forced expiratory volume in 1 s as a percentage of the predicted value [FEV 1 (% pred)]. Outcome data were collected from all participants at baseline, 2 and 6 months. Results: In total, 360 participants with COPD and comorbid depression were included in the analysis with the control group of 181 receiving UC only and the intervention group of 179 receiving EAT plus UC. The EAT group showed significantly greater improvement in the HADS-D and HADS-A scores than the UC group at 2 months ( p < 0.0001 and p < 0.001, respectively) and 6 months ( p < 0.001 for both). The CAT and mMRC scores were significantly lower in the EAT group than in the UC group at 2 and 6 months ( p < 0.001 for all). The FEV 1 (% pred) was significantly higher in the EAT group than in the UC group at 6 months ( p < 0.01). Conclusion: General practitioners can deliver EAT interventions. EAT can effectively reduce anxiety and depression symptoms and dyspnoea, improve quality of life and improve the pulmonary function of patients with COPD.
科研通智能强力驱动
Strongly Powered by AbleSci AI