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目的本文通过吸毒者生命质量的分析，较全面地介绍用正交多项式回归处理纵向资料的方法和过程，对其特点和适用条件进行讨论。方法随机抽取158例强制戒毒者和54例自愿戒毒者，用我们研制的吸毒者测定量表QOL－DA对其进行测定，用正交回归法进行统计学分析。结果两戒毒组0～4次正交回归系数分别为140．2361，12．9115，－0．1487，－1．2779，0．1310和142．0813，14．3281，－0．3459，－0．8750，03607；两组各次回归系数比较的F值分别为0．14，0．56，0．03，0．17，0．38。结论正交回归法是处理纵向生命质量资料的一种较好方法，值得推广应用。经该法分析，两戒毒组的生命质量无统计学差异。
Objective To analyze the method and process of processing longitudinal data using orthogonal polynomial regression and to discuss its characteristics and applicable conditions. Methods A total of 158 compulsory drug addicts and 54 voluntary drug users were randomly selected and measured using QOL-DA, a drug addicts developed by us. Statistical analysis was performed using orthogonal regression. Results The orthogonal regression coefficients of 0 to 4 times in the two detoxification groups were 140.2361, 12.9115, -0.1487, -1.2779, 0.1310 and 142.0813, 14.3281, -0.3459,- 0.8750,03607; The F values of the regression coefficients for the two groups were 0.14, 0.56, 0.03, 0.17, and 0.38, respectively. Conclusion Orthogonal regression method is a good method to deal with longitudinal quality of life data, which is worth popularizing and applying. After analysis of this method, there was no statistical difference in the quality of life between the two detoxification groups.