[An investigation on anxiety and coping patterns of patients under cancer chemotherapy and the strategies].

中华护理杂志 Pub Date : 1997-12-01

X Y Su, Y L Zhu, Y Y Cai

引用次数: 0

Abstract

100 cases of patients under cancer chemotherapy were investigated by using Self-Rating Anxiety Scale (SAS) and questionnaire on coping patterns. The results showed that scores of SAS were significantly higher than that of the normal population. The state of the anxiety reached 45% among the patients. The patients' coping patterns tended to be passive. Linear analysis revealed a negative correlation between the coping patterns and the scores of SAS. It is recommended that cognitive behavioral therapy can be used to relieve the anxiety of patients under cancer chemotherapy.

本刊更多论文

癌症化疗患者焦虑、应对方式及应对策略的调查

采用焦虑自评量表(SAS)和应对方式问卷对100例癌症化疗患者进行调查。结果显示，SAS得分明显高于正常人群。患者的焦虑状态达到45%。患者的应对方式倾向于被动。线性分析显示应对方式与SAS得分呈负相关。建议使用认知行为疗法来缓解癌症化疗患者的焦虑。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

中华护理杂志

CiteScore

0.80

自引率

0.00%

发文量

22706

期刊介绍： Chinese Journal of Nursing was established on May 1, 1954. It is the earliest and oldest comprehensive nursing academic journal in China. Supervised by China Association for Science and Technology, sponsored by the Chinese Nursing Association and published at home and abroad, Chinese Journal of Nursing mainly reports the leading scientific research achievements and clinical experience in the field of nursing science, as well as the nursing theory research that has a guiding effect on nursing practice. Included database This journal has been included by China Science Citation Database (CSCD), SinoMed, China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform, VIP Journal Resource Integration Service Platform and other Chinese platforms. It carries out academic exchanges with China Science and Technology information - Outstanding S&T Journals of China (F5000), CNKI Journal Translation Project,et,al. This journal has been included in Dimensions, WHO COVID-19 database and other international databases, among which the articles published in 1982-1997 are included in PMC and PubMed databases. Honors Top 100 Chinese Outstanding Academic Journals in 2020 The 5th China Excellent Science and Technology Journal The 5th Publishing Government Award of Journal Nomination Award