摘要
目的构建亚健康状态的评价模型。方法以亚健康状态人群为研究主体,以健康人群为参照,采用症状自评量表(SCL-90)、世界卫生组织生存质量测定量表简表(WHOQOL-BREF)及多媒体显微诊断技术对两组人群的健康状况进行评价,利用Logistic回归分析、判别分析及偏最小二乘回归分析等方法筛选敏感性宏、微观指标,进而构建亚健康状态的评价模型。结果Y(试验组/对照组)=0.996+0.018*X1+0.138*X2+0.148*X3+0.034*X4+0.044*X6+0.041*X7-0.107*X9-0.090*X10+0.124*X11-0.089*X12-0.087*X13-0.081*X14*0.108*X15+0.055*X17,从模型中可以看到回归系数的正负决定了自变量的作用方向,系数的大小决定了贡献度,其中有8项与模型呈正相关,另外6项与模型呈负相关;经模型拟合效果评价显示,模型的拟合能力和预测能力均良好。结论该研究将量表筛选出的主观指标和THMMDI技术筛选的客观指标进行整合,成功构建了亚健康状态的评价模型,为亚健康状态的评价研究提供了新的思路。
Objective To construct an evaluation model of sub-health status.Methods The health status of the two groups was assessed using the symptom self-rating scale(SCL-90),the quality of life measurement scale(WHOQOL-BREF)and the multimedia micro-diagnosis technology,with the sub-health status population as the subject of the study and the healthy population as the reference.Logistic regression analysis,discriminant analysis and partial least square regression analysis were used to select the macro and micro indicators of sensitivity,and then the evaluation model of sub-health status was constructed.Results Y(Test group/control group)=0.996+0.018×X1+0.138×X2+0.148×X3+0.034×X4+0.044×X6+0.041×X7-0.107×X9-0.090×X10+0.124×X11-0.089×X12-0.087×X13-0.081×X14-0.108×X15+0.055×X17.It can be seen from the model that the positive and negative of the regression coefficient determined the action direction of the independent variable,the size of the coefficient determined the contribution degree,among which 8 were positively correlated with the model,and the other 6 were negatively correlated with the model.The model fitting effect evaluation showed that the model fitting ability and prediction ability were good.Conclusion The study integrated the subjective indexes selected by the scale and the objective indexes selected by THMMDI technology,and successfully constructed the evaluation model of sub-health status,providing a new idea for the evaluation of sub-health status.
作者
张磊
于杰
刘迎迎
郭伟星
李运伦
ZHANG Lei;YU Jie;LIU Yingying;GUO Weixing;LI Yunlun(Shandong University of Traditional Chinese Medicine,Jinan 250355,Shandong,China;The Affiliated Hospital of Shandong University of Traditional Chinese Medicine,Jinan 250014,Shandong,China;Shandong Academy of Medical Sciences,Jinan 250014,Shandong,China)
出处
《辽宁中医杂志》
CAS
2020年第1期8-13,共6页
Liaoning Journal of Traditional Chinese Medicine
基金
国家自然科学基金(81974561)
中国博士后科学基金(2017M612342)
山东省自然科学基金博士基金(ZR2017BH091)
山东省中医药科技发展计划项目(2017-048)
山东省中医药科技发展计划项目(2017-055)
山东省保健科技协会科学技术课题(SDBJKT20170080)
山东省研究生教育优质课程建设项目(KC2016004)
中西医结合心血管泰山学者工程专项经费资助
山东中医药大学科研创新团队项目(中药理论应用及药效筛选团队).
关键词
亚健康状态
偏最小二乘回归分析
评价模型
临床研究
sub-health state
partial least squares regression analysis
evaluation model
clinical research
