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肺癌患者的个性与污名

Personality and Stigma in Lung Cancer Patients.

机构信息

Department of Psychiatry, University Hospital Sestre Milosrdnice, Vinogradska cesta 29, 10000 Zagreb, Croatia,

出版信息

Psychiatr Danub. 2020 Nov;32(Suppl 4):528-532.

PMID:33212459
Abstract

BACKGROUND

Stigma in lung cancer has been associated with diagnostic and treatment delay and with poor outcomes. Personality has impact on the perception of someone's life situation and interacts with psychosocial variables and coping strategies. The vulnerability to stigma is still under-researched. The aim of this study was to investigate this vulnerability by examining the associations between stigma and personality dimensions (i.e., temperament and character traits).

SUBJECTS AND METHODS

Seventy six (76) inpatients of the two teaching hospitals with the diagnosis of non-small-cell lung cancer were consecutively included in the study. Patients were assessed with self-reporting scales: Cataldo Lung Cancer Stigma Scale (CLCSS) and Temperament and Character Inventory (TCI). Sociodemographic and clinical data were also collected.

RESULTS

Personality dimensions Self-directedness and Persistence showed to be significant predictors of stigma in the linear regression (R=0.519; F=3.104; P=0.007). Stigma and personality dimensions were not associated with age, gender, tumor stage and smoking status.

CONCLUSION

Stigma is associated with particular character (i.e., Self-directedness) and temperament (i.e., Persistence) dimensions. Given the negative clinical outcomes of stigma in lung cancer patients, personality should be taken into account during screening and treatment planning phases.

摘要

背景

肺癌患者的污名与诊断和治疗的延迟以及较差的预后有关。个性会影响人们对自己生活状况的认知,并与社会心理变量和应对策略相互作用。对污名的脆弱性仍研究不足。本研究旨在通过检查污名与个性维度(即气质和性格特征)之间的关系来研究这种脆弱性。

受试者和方法

本研究连续纳入了两家教学医院的 76 名非小细胞肺癌住院患者。患者采用自我报告量表进行评估:卡托肺癌污名量表(CLCSS)和气质与性格量表(TCI)。还收集了社会人口统计学和临床数据。

结果

线性回归显示,个性维度自我导向和坚持是污名的显著预测因子(R=0.519;F=3.104;P=0.007)。污名与个性维度与年龄、性别、肿瘤分期和吸烟状况无关。

结论

污名与特定的性格(即自我导向)和气质(即坚持)维度有关。鉴于肺癌患者污名的负面临床结局,在筛查和治疗规划阶段应考虑个性因素。

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