Mystakidou Kyriaki, Tsilika Eleni, Parpa Efi, Pathiaki Maria, Galanos Antonis, Vlahos Lambros
Pain Relief and Palliative Care Unit, Department of Radiology, Areteion Hospital, School of Medicine, University of Athens, Athens, Greece.
Depress Anxiety. 2008;25(9):730-6. doi: 10.1002/da.20319.
There is growing interest in the psychological distress and quality of life of cancer patients. The aim of this study was to compare the responses of 102 advanced cancer patients on a quality of life scale (as measured by the SF12) with the Beck Depression Inventory (BDI) and the Beck Hopelessness Scale (BHS), as well as the impact of depression and hopelessness on quality of life. Significant associations were found between gender (P=.027), performance status (P=.003), opioids (P=.002), depression (P<.0005), and hopelessness (P<.0005) with the SF12-Mental Component Score (MCS). Gender (P=.07), metastasis (P=.001), opioids (P=.0005), and education (P=.045) correlated significantly with SF12-Physical Component Score (PCS). In the prediction of MCS, the dimensions of age, hopelessness, gender, and performance status were statistically significantly high (P<.0005), explaining 48% of variance. For PCS, the predictor variables were education, metastasis, and opioids (25% of variance). Quality of life, in this patient population, was predicted by the level of hopelessness and patients' demographic and clinical characteristics.
人们对癌症患者的心理困扰和生活质量越来越感兴趣。本研究的目的是比较102例晚期癌症患者在生活质量量表(用SF12测量)上的反应与贝克抑郁量表(BDI)和贝克绝望量表(BHS),以及抑郁和绝望对生活质量的影响。研究发现,性别(P = 0.027)、体能状态(P = 0.003)、阿片类药物(P = 0.002)、抑郁(P < 0.0005)和绝望(P < 0.0005)与SF12心理成分得分(MCS)之间存在显著关联。性别(P = 0.07)、转移(P = 0.001)、阿片类药物(P = 0.0005)和教育程度(P = 0.045)与SF12身体成分得分(PCS)显著相关。在预测MCS时,年龄、绝望、性别和体能状态维度在统计学上显著较高(P < 0.0005),解释了48%的方差。对于PCS,预测变量是教育程度、转移和阿片类药物(25%的方差)。在该患者群体中,生活质量由绝望程度以及患者的人口统计学和临床特征预测。