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第4期 总第117期                           南京医科大学学报(社会科学版)京医科大学学报(社会科学版)
                                                    南
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                     Analysis of the influencing factors of quality of life during the

                 rehabilitation period of middle⁃aged and elderly stroke patients and

                                         construction of prediction model

                                           1,2             1          1           1           1
                                ZHANG Yan ,YAN Guodong ,CAI Wanli ,CHU Minjie ,XIAO Jing
                    1. Department of Epidemiology and Medical Statistics,School of Public Health,Nantong University,Nantong 226019;
                     2. Rehabilitation Department of Traditional Chinese Medicine,Affiliated Jianhu Hospital,Yancheng 224700,China
                   Abstract:Our study surveyed stroke patients during rehabilitation in Jianhu County People’s Hospital. The
               results showed that patients whose family monthly income is ≥3 000 yuan,having systematic rehabilitation
               training,higher social support score,have hobbies,family care,family visited times ≥2,and treatment time <
               3 h after the onset of stroke have increased by 3.65-9.95 times of high quality of life in the rehabilitation period
               of middle⁃aged and elderly stroke patients compared with total disability,severe,moderate,and mild disability
               increased patients’quality of life. While the proportion of patients with other concomitant diseases,psychological
               symptoms of anxiety or depression,and treatment time ≥3 h after the onset decreased the quality of life. The
               nomogram model constructed in our study predicted a total score of up to 280 points. When the predicted scores
               of these factors reached 164 and above,the incidence of patients with high quality of life reached 90% and
               above,and the verification results of the nomogram model suggested good accuracy and precision. Therefore,
               we suggest that hospitals should identify and intervene early on controllable influencing factors supplemented by
               predictive models and develop personalized rehabilitation programs to improve patients’quality of life.
                   Key words:stroke;quality of life:influencing factor;nomogram;predictive model
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