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血液透析患者生活质量的影响因素
引用本文:姜敏敏,李鲁. 血液透析患者生活质量的影响因素[J]. 浙江大学学报(医学版), 2004, 33(6): 546-549,560
作者姓名:姜敏敏  李鲁
作者单位:浙江大学医学院,浙江,杭州,310031
摘    要:目的:测评血透患者的生活质量,分析其影响因素.方法:采用整群抽样法,用SF-36量表对杭州市4家血透中心的181例血透患者进行自评量表式调查.测算血透患者生活质量得分,与杭州常模比较,并作单因素分析和多元线性逐步回归分析.结果:血透患者SF-36量表8个维度的得分分别为:57.7±18.2、6.1±16.6、63.2±17.4、27.2±12.9、31.1±17.0、41.6±14.6、58.0±45.2和65.3±15.5,显著低于普通人群.影响血透患者生理健康总分的变量有年龄、睡眠、血红蛋白水平、肌肉骨骼疾病、在婚状态、糖尿病和心脏疾病(P<0.01),影响心理健康总分的变量有年龄、睡眠和血红蛋白水平(P<0.01).结论:血透患者的生活质量显著低下,应采取综合措施提高其生活质量.

关 键 词:血液透析  肾疾病  生活质量  因素分析  SF-36量表
文章编号:1008-9292(2004)06-0546-04

Assessment of health-related quality of life in hemodialysis patients with SF-36
JIANG Min min,LI Lu. Assessment of health-related quality of life in hemodialysis patients with SF-36[J]. Journal of Zhejiang University. Medical sciences, 2004, 33(6): 546-549,560
Authors:JIANG Min min  LI Lu
Affiliation:College of Medicine, Zhejiang University, Hangzhou 310031, China.
Abstract:OBJECTIVE: To assess health-related quality of life in hemodialysis patients and to identify related socio-demographic and clinical variables. METHODS: By a cluster sampling procedure, 181 hemodialysis patients from 4 hemodialysis centers in Hangzhou completed the SF-36 Scales with self-administration. The means and deviations for each of eight scales were calculated, the results in the samples were compared with those in general population. Univariate analysis and multivariate regression were applied to determine the effect of variables such as age, gender, educational level, employment status,marital status, income,sleep, hemodialysis history, hemoglobin, co-existing diseases and so forth, on quality of life in the patients. RESULTS: The scores of the eight scales in the hemodialysis patients were 57.7 +/-18.2, 6.1 +/-16.6, 63.2 +/-17.4, 27.2 +/-12.9, 31.1 +/-17.0, 41.6 +/-14.6, 58.0 +/-45.2 and 65.3 +/-15.5. Except MH, the scores of all the scale in the patients were significantly lower than those in general population. In the multiple linear stepwise regression model of Physical Component Summary,the seven variables of age, sleep, hemoglobin, skeletal-muscle diseases, married status, diabetes mellitus and cardiopathy were included (P<0.01), while in that of Mental Component Summary, the three variables of age, sleep and hemoglobin were included (P<0.01). CONCLUSION: The quality of life in hemodialysis patients is impaired. Greater attention should be given to interventions that could improve quality of life.
Keywords:Hemodialysis  Kidney failure  Chronic  Quality of life  Factor analysis  statistics  SF 36 scales
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