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胶质瘤患者抑郁状况调查及影响因素分析
引用本文:崔玉洁1,庄思琪1,王彤彤 1,刘桂红2,徐继承1,朱一硕3. 胶质瘤患者抑郁状况调查及影响因素分析[J]. 现代预防医学, 2020, 0(17): 3247-3250
作者姓名:崔玉洁1  庄思琪1  王彤彤 1  刘桂红2  徐继承1  朱一硕3
作者单位:1.徐州医科大学公共卫生学院,江苏 徐州 221004;2.徐州医科大学附属医院放疗科,江苏 徐州 221000;3. 徐州医科大学附属医院神经外科,江苏 徐州 221000
摘    要:目的 了解胶质瘤患者的抑郁状况,分析其影响因素,为制定有针对性的临床干预措施提供科学依据。方法 采用方便抽样的方法于2018年11月1日至2019年11月30日对徐州市2所三级甲等医院抽取104名住院胶质瘤患者。应用一般情况调查表以及贝克抑郁自评量表对患者进行问卷调查。采用单因素检验和多因素logistic 回归分析模型分析胶质瘤患者抑郁的相关因素。结果 该研究中胶质瘤患者抑郁症状检出率为72.12%,其中轻度占36.54%,中度占24.04%,重度占11.54%。经过单因素和多因素分析结果显示,诊断分级(OR=2.130,P=0.021)、是否放化疗(OR=5.107,P=0.027)、家庭月收入(OR=0.144,P<0.001)和家庭关心程度(OR=0.208,P=0.037)为影响胶质瘤患者抑郁症状的重要因素。结论 胶质瘤患者抑郁症状检出率较高,医护人员应针对其影响因素,提出相应的干预措施,从而缓解患者的抑郁状况,提高患者的生活质量。

关 键 词:胶质瘤  抑郁  检出率  影响因素

Investigation and analysis of influencing factors of depression in glioma patients
CUI Yu-jie,ZHUANG Si-qi,WANG Tong-tong,LIU Gui-hong,XU Ji-cheng,ZHU Yi-shuo. Investigation and analysis of influencing factors of depression in glioma patients[J]. Modern Preventive Medicine, 2020, 0(17): 3247-3250
Authors:CUI Yu-jie  ZHUANG Si-qi  WANG Tong-tong  LIU Gui-hong  XU Ji-cheng  ZHU Yi-shuo
Affiliation:*School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
Abstract:To investigatethe state of depression of glioma patients and to analyze the influencing factors,and toprovidescientific basis for making targetedclinical intervention measures. Methods 104 hospitalized glioma patients from twograde A class three hospitals in Xuzhou city were selected by convenient sampling methodfrom November 1,2018 to November30,2019. The general situation questionnaire and Beck’s self - rating depression scale( BDI) were used to investigate thepatients. Single factor test and multivariate logistic regression analysis were adopted to analyze the related factors of depressionin glioma patients. Results The detection rate of depressive symptoms was 72. 12% ,of which mild ,moderate,and severewere 36. 54% ,24. 04% ,and 11. 54% respectively. The results showed that the diagnostic grade( OR = 2. 130,P = 0. 021) ,chemoradiation therapy or not( OR = 5. 107,P = 0. 027) ,family monthly income( OR = 0. 144,P < 0. 001) and the level offamily care( OR = 0. 208,P = 0. 037) were important factors for influencing depressive symptoms through single and multiplefactors analysis. Conclusion The detection rate of depressive symptoms is high in glioma patients. According to theinfluencing factors,corresponding intervention measuresshould be taken by medical staff to alleviate the depression of patientsand improve their quality of life
Keywords:Glioma  Depression  Detection rate  Influencing factors
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