呼吸内科住院患者睡眠质量影响因素分析

摘要

Objective To investigate the sleeping status among patients in respiratory medicine, and analyze the related influencing factors, so as to provide related nursing and treatment measures for improving sleeping status. Methods A total of 174 cases in the respiratory medicine were collected from June 2011 to March 2012. PSQT was conducted to investigate the quality of sleeping, and collected the related information by questionnaires. The general characteristics of people, disease status, treatment and economy burden were collected. Results Among 174 patients, the lowest score of PSQI was 2, and the highest was 17. The average score was (9.66±4.67) for patients who had better sleeping, and accounted for 45.40%. The average score was (13.69 ±3.4) for patients who had bad sleeping, and accounted for 54.60%. There was no significant difference in the sex, age, occupation and education level between better and bad sleeping patients, and there was no significant difference in the cough and expectoration between the two groups. While there was significant difference in the cough, pain in chest and hard breath between the two groups. Moreover, there was significant difference in the economic burden of the two groups (P ＜ 0.05). Conclusion Sex, age, occupation and education level have no association with sleeping, while the symptom of respiration, night treatment and economic burden are association with sleeping quality. Related clinical treatment should be taken for patients who have related influencing factors, so as to improve the quality of sleeping.%目的 通过调查呼吸内科住院患者的睡眠状况,分析相关影响因素,为今后有针对性地制定患者护理措施及治疗方案、促进患者睡眠质量提高提供依据.方法 选择2011年6月~2012年3月174例到我院呼吸内科就诊住院的患者作为研究对象,采用匹兹堡睡眠质量指数(PSQI)量表对入组患者进行睡眠质量调查,同时采用自行设计的调查问卷收集入组患者的有关信息,将睡眠质量良好的患者及睡眠质量不良患者进行一般人口学特征、疾病症状、夜间治疗、经济负担等内容的调查.结果 174例患者中,PSQI得分最低2分,最高17分,平均(9.66±4.67)分.睡眠良好组PQSI平均得分(4.51±2.2)分,占患者人数的45.40%;睡眠不良组的PQSI得分平均为(13.69±3.4)分,占患者人数的54.60%,睡眠良好组与睡眠不良组咳嗽、胸痛及呼吸困难症状的发生频率、夜间治疗率比较差异有统计学意义(P ＜ 0.05),两组间经济负担的差异也具有统计学意义(P ＜ 0.05).结论 性别、平均年龄、职业及文化程度与睡眠质量无关联,而呼吸系统症状的发生频率、夜间治疗、经济负担与睡眠质量有一定的关联性,在临床诊疗过程中应针对以上因素采取相应的干预措施,改善患者睡眠质量.