Evaluation and characterization of generalized anxiety and depression in patients with primary brain tumors

Evaluation and characterization of generalized anxiety and depression in patients with primary brain tumors
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DOI:
10.1215/15228517-2007-057
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发表时间:
2008-04-01
期刊:
影响因子:
15.9
通讯作者:
Raynor, Renee H.
Raynor, Renee H.
中科院分区:
医学1区
文献类型:
--
作者:
Arnold, Staci D.;Forman, Leslie M.;Raynor, Renee H.

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为了确定与脑肿瘤患者中主要神经精神疾病相关的临床和社会人口学因素,我们对363名成人神经肿瘤患者进行了修订版的简明患者健康问卷和人口统计学数据表。对反应进行分析,以评估人口统计学变量、临床变量和与广泛性焦虑症和/或抑郁症诊断一致的症状之间的关联。多因素Logistic回归分析显示,女性与焦虑、抑郁及焦虑抑郁混合症状的存在相关。较低的WHO肿瘤分级分类、较低的教育水平和精神疾病史也是与焦虑和/或抑郁一致的症状的重要预测因素。婚姻状况和存在过去/目前的医疗疾病倾向于显着相关的抑郁症。患者使用精神科药物与任何研究变量无关。本研究的结果提出了几个假设,可以在进一步的纵向分析中对神经肿瘤患者进行测试,这些假设将受益于纳入更广泛的神经精神症状以及神经认知和功能障碍变量。
To determine clinical and sociodemographic factors that are associated with major neuropsychiatric illnesses among brain tumor patients, we administered a modified version of the Brief Patient Health Questionnaire and a demographic data form to 363 adult neuro-oncology patients. Responses were analyzed to assess for associations between demographic variables, clinical variables, and symptoms consistent with diagnoses of generalized anxiety disorder and/or depression. Multivariate logistic regression analyses showed that female gender was associated with the presence of symptoms of anxiety, depression, and combined anxiety and depression. Lower WHO tumor grade classifications, lower education level, and a history of psychiatric illness also emerged as important predictors of symptoms consistent with anxiety and/or depression. Marital status and presence of past/current medical illness trended toward being significantly associated with depression alone. Patient use of psychiatric medication was not associated with any study variables. Results of the present study suggest several hypotheses to test with neuro-oncology patients in further longitudinal analyses, which would benefit from the inclusion of a wider range of neuropsychiatric symptoms in conjunction with neurocognitive and functional impairment variables.