Ruggeri M, Bisoffi G, Fontecedro L, Warner R
Department of Medicine and Public Health, Section of Psychiatry, University of Verona, Italy.
Br J Psychiatry. 2001 Mar;178:268-75. doi: 10.1192/bjp.178.3.268.
Both subjective and objective information is necessary to assess quality of life (QOL).
To explore the role of subjective and objective QOL dimensions and their cross-sectional and longitudinal predictors.
The relationship between QOL, as measured by the Lancashire Quality of Life Profile (LQL), and demographic variables, diagnosis, psychopathology, disability, functioning, affect balance, self-esteem, service use and service satisfaction was investigated at two points in time, using factor analysis and multiple regression techniques.
One subjective and two objective LQL factors with strong face validity were identified. Cross-sectional predictors of the subjective factor were primarily subjective measures; longitudinally, few predictors of this factor were identified. The cross-sectional and longitudinal predictors of the objective factors were primarily demographic and observer-rated measures.
Subjective and objective data are distinct types of information. Objective measures may be more suitable in detecting treatment effects. Subjective information is necessary to complete the QOL picture and to enhance the interpretation of objective data.
评估生活质量(QOL)需要主观和客观信息。
探讨主观和客观生活质量维度的作用及其横断面和纵向预测因素。
采用因子分析和多元回归技术,在两个时间点研究了由兰开夏生活质量量表(LQL)测量的生活质量与人口统计学变量、诊断、精神病理学、残疾、功能、情感平衡、自尊、服务使用和服务满意度之间的关系。
确定了一个主观和两个客观的LQL因子,具有很强的表面效度。主观因子的横断面预测因素主要是主观测量;纵向来看,该因子的预测因素较少。客观因子的横断面和纵向预测因素主要是人口统计学和观察者评定的测量。
主观和客观数据是不同类型的信息。客观测量可能更适合检测治疗效果。主观信息对于完善生活质量情况和增强对客观数据的解释是必要的。