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2023年8月 Journal of Nanjing Medical University(Social Sciences)of Nanjing Medical University(Social Sciences) · 323 ·
Journal
308-310 37(5):755-756,760
[15] LO S H S,CHANG A M,CHAU J P C. Establishing [22] 林娟,雷芬芳. 基于 Andersen 模型的缺血性脑卒中患
equivalence of a Chinese version of the stroke specific 者生活质量的影响因素研究[J]. 中国卫生统计,2021,
quality of life measure for stroke survivors[J]. Disabil 38(4):622-624
Rehabil,2017,39(11):1079-1086 [23] 王月兵,罗敏,邓馨,等. 老年脑卒中病人恢复期实施
[16] 汪向东,王希林,马弘. 心理卫生评定量表手册[M]. 自我效能干预对生存质量的影响[J]. 护理研究,2016,
增订版. 北京:中国心理卫生杂志社,1999:370-447, 30(25):3196-3198
468-473,739-745 [24] 杨燕. 脑卒中患者恢复期生活质量影响因素的研究
[17] 肖水源.《社会支持评定量表》的理论基础与研究应用 [D]. 太原:山西医科大学,2012
[J]. 临床精神医学杂志,1994,4(2):98-100 [25] JOINSON C,HERON J,LEWIS G,et al. Timing of men⁃
[18] HULSBÆK S,LARSEN R F,ROSTHØJ S,et al. The arche and depressive symptoms in adolescent girls from
Barthel Index and the Cumulated Ambulation Score are a UK cohort[J]. Br J Psychiatry,2011,198(1):17-23
superior to the de Morton Mobility Index for the early [26] ESPERNBERGER K R,FINI N,PEIRIS C. Identity,so⁃
assessment of outcome in patients with a hip fracture cial engagement and community participation impact
admitted to an acute geriatric ward[J]. Disabil Rehabil, physical activity levels of stroke survivors:a mixed ⁃
2019,41(11):1351-1359 methods study[J]. Clin Rehabil,2023,37(6):836-850
[19] 傅娟,陈秋婉,王凌燕,等. 脊髓损伤患者康复期生存 [27] AHMED T,KUMAR R,BAHURUPI Y,et al. Factors
质量影响因素分析[J]. 现代实用医学,2021,33(9): affecting quality of life among post ⁃ stroke patients in
1155-1156 the sub⁃himalayan region[J]. J Neurosci Rural Pract,
[20] 祝红娟,周体,曾登芬,等. 特重度烧伤患者康复期生 2020,11(4):616-622
活质量现状及其影响因素分析[J]. 中华现代护理杂 [28] 健康中国行动推进委员会. 健康中国行动(2019—
志,2021,27(26):3508-3514 2030年):总体要求、重大行动及主要指标[J]. 中国循
[21] 劳玉妹,吴惠,杜启新. 脑卒中患者康复期生活质量影 环杂志,2019,34(9):846-858
响因素的多元线性回归分析[J]. 中国卫生统计,2020, (本文编辑:姜 鑫)
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