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乳腺癌患者益处发现及相关因素 被引量:29

Related factors of benefit finding in patients with breast cancer
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摘要 目的:探讨乳腺癌患者益处发现的相关因素。方法:选取安徽省某三甲和二甲医院经病理诊断确诊为乳腺癌的女性患者300名,采用益处发现评定量表(BFS)、事件影响量表修订版(IES-R)、社会支持评定量表(SSRS)、医学应对方式问卷(MCMQ)、生活取向量表(LOT-R)进行相关测评。结果:乳腺癌患者BFS总分(47.9±13.4);BFS得分与社会支持总分、主观支持、客观支持、支持利用度、面对应对、回避应对及乐观倾向得分呈正相关(r=0.41,0.37,0.28,0.32,0.44,0.38,0.60),与侵袭性症状、回避症状、高警觉症状和屈服应对得分呈负相关(r=-0.48,-0.34,-0.42,-0.53),均P<0.01。多元逐步回归分析显示,乐观倾向、面对应对、回避应对和转移与益处发现呈正向关联(b'=0.36,0.16,0.15,0.02),侵袭性症状与益处发现呈负向关联(b'=-0.19)。结论:乳腺癌患者存在一定水平的益处发现,可能受乐观倾向、面对应对、侵袭性症状、回避应对和转移等因素影响。 Objective: To investigate the level and related factors of benefit finding in patients with breast cancer. Methods: Totally 300 patients with breast cancer from 2 hospitals in Anhui Province were investigated with the Benefit Finding Scale( BFS),Impact of Event Scale-Revised( IES-R),Perceived Social Support Scale( PSSS),Medical Coping Modes Questionnaire( MCMQ) and Revised Life Orientation Test( LOT-R). Results: The total score of BFS of patients with breast cancer was( 47. 9 ± 13. 4). The BFS total scores were positively correlated with the social support total scores and scores of objective support,subjective support,support utilization,confrontation,avoidance and optimism tendency( r = 0. 41,0. 37,0. 28,0. 32,0. 44,0. 38,0. 60),while negatively correlated with scores of intrusion, avoidance, hyper-arousal and resignation( r =- 0. 48,- 0. 34,- 0. 42,- 0. 53; Ps 0. 01). Multiple stepwise regressions showed that benefit finding scores were positively correlated with scores of optimism tendency,confrontation,avoidance and metastasis( b'= 0. 36,0. 16,0. 15,0. 02),and negatively correlated with intrusion scores( b'=- 0. 19). Conclusions: The patients with breast cancer possibly have a sense of benefit finding,and optimism tendency,confrontation,intrusion,avoidance and metastasis may be the related factors of benefit finding.
出处 《中国心理卫生杂志》 CSSCI CSCD 北大核心 2016年第6期413-417,共5页 Chinese Mental Health Journal
基金 安徽省第二批科技计划项目(1303063025)
关键词 乳腺癌 益处发现 相关因素 现况调查 breast cancer benefit finding related factor cross-sectional studies
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