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癌症患者特定癌症压力的轨迹:潜在增长混合分析。

Trajectories of cancer-specific stress in cancer patients: a latent growth mixture analysis.

机构信息

Department of Psychological Sciences, Texas Tech University, Lubbock, TX, 79382, USA.

Psychiatry and Behavioral Health, Psychology, Obstetrics and Gynecology, The Ohio State University, 1670 Upham Drive, Columbus, OH, 43210, USA.

出版信息

J Behav Med. 2023 Aug;46(4):689-698. doi: 10.1007/s10865-023-00396-9. Epub 2023 Jan 28.

Abstract

This study aimed to examine trajectories of cancer specific stress (CSS) over the course of a year, starting at the beginning of chemotherapy, and identify psychosocial factors that predicted trajectory class membership. Growth Mixture Modeling was used to identify distinct trajectories of CSS. Multinomial regression examined potential psychosocial predictors of trajectory membership. In the 4-class solution, all four trajectories demonstrated a decrease in CSS over the year but with differing intercepts and magnitudes of slopes. These were characterized as recovery, resilience, chronic, and severely chronic. The recovery group reported significantly higher insomnia scores than the resilient group. The chronic group reported significantly higher insomnia, higher depression, lower social support, and lower optimism than the resilient group. The chronic group reported significantly lower social support and higher depression than the recovery group. The findings provide information about psychosocial risk factors for CSS that can be screened for early intervention following diagnosis.

摘要

本研究旨在从化疗开始时起,在一年的时间里,考察癌症特异性应激(CSS)的轨迹,并确定预测轨迹类别的心理社会因素。使用增长混合物建模来识别 CSS 轨迹的不同类别。多项回归检验了轨迹成员资格的潜在心理社会预测因素。在 4 类解决方案中,所有四类轨迹在一年中都显示出 CSS 的下降,但截距和斜率幅度不同。这些特征是恢复、弹性、慢性和严重慢性。恢复组报告的失眠评分明显高于弹性组。慢性组报告的失眠、抑郁、社会支持和乐观程度明显低于弹性组。慢性组的社会支持和抑郁评分明显低于恢复组。这些发现提供了 CSS 的心理社会风险因素的信息,可以在诊断后进行早期干预。

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