Trait Mindfulness and Social Support Predict Lower Perceived Stress Burden in Patients Undergoing Radiation Therapy

IF 2.2 Q3 ONCOLOGY
Dylan J. Cooper MD , Jacob Eckstein MD , Baho Sidiqi MD, MPH , Zaker H. Rana MD , Ariana Matarangas BA , Ashna Shah BA , Nefia Chacko BA , Joseph Mancuso BS , Travis Minutoli BS , Alana Zinkin BS , Kirti Sharma BS , Ria Mehta BA , Louis Potters MD , Bhupesh Parashar MD, DrPH
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Abstract

Purpose

Cancer diagnosis and treatment, including radiation therapy (RT), cause significant patient stress. Mindfulness and social support have been shown to help manage the psychological effects of cancer treatment. The objective of our study was to determine the sociodemographic and clinical factors associated with stress burden in patients receiving RT.

Methods and Materials

Patients receiving RT for cancer at a single institution were given a 3-section survey to complete during the first on-treatment visit. The survey included the Perceived Stress Scale, Medical Outcomes Study Social Support Survey, and Mindfulness Attention Awareness Scale, which were used to measure stress, social support, and trait mindfulness, respectively. Linear regression analysis was performed to determine associations between perceived stress and age, patient sex, race and ethnicity, treatment intent, disease site, trait mindfulness, and social support. Factors significant in univariable analysis were analyzed with a multivariable analysis.

Results

A total of 93 patients undergoing RT at a tertiary care academic institution were recruited from July to September 2019. Median scores for Perceived Stress Scale, Medical Outcomes Study Social Support Survey, and Mindfulness Attention Awareness Scale were 14.6 (range, 0-31; SD, 6.9), 4.2 (range, 1-5; SD, 1.0), and 5.1 (range, 3.1-6.0; SD, 0.8), respectively. On univariable analysis, mindfulness and social support were associated with decreased stress burden, and female sex and palliative intent were associated with increased stress burden. These factors all maintained significance in multivariable analysis.

Conclusions

These results suggest measures to improve mindfulness and perceived social support, such as mindfulness meditation and psychoeducational approaches, may lessen the stress burden and improve quality of life for patients undergoing RT. Future studies should analyze the longitudinal impact of individual patient characteristics, including patient sex and treatment intent, to better understand their effects on psychological maladjustment during cancer care.

正念特质和社会支持可预测接受放疗的患者减轻感知到的压力负担
目的癌症诊断和治疗,包括放射治疗(RT),会给患者带来巨大的压力。正念和社会支持已被证明有助于控制癌症治疗的心理影响。我们的研究旨在确定与接受 RT 治疗的患者压力负担相关的社会人口学和临床因素。该调查包括感知压力量表、医疗结果研究社会支持调查和正念注意意识量表,分别用于测量压力、社会支持和正念特质。我们进行了线性回归分析,以确定感知压力与年龄、患者性别、种族和民族、治疗意向、发病部位、特质正念和社会支持之间的关联。结果 2019年7月至9月,一家三级医疗学术机构共招募了93名接受RT治疗的患者。感知压力量表、医疗结果研究社会支持调查和正念注意力认知量表的中位得分分别为14.6(范围,0-31;标清,6.9)、4.2(范围,1-5;标清,1.0)和5.1(范围,3.1-6.0;标清,0.8)。在单变量分析中,正念和社会支持与压力负担的减轻有关,而女性性别和姑息治疗意向与压力负担的加重有关。这些结果表明,正念冥想和心理教育方法等改善正念和感知到的社会支持的措施可以减轻接受 RT 治疗的患者的压力负担并改善其生活质量。未来的研究应分析患者个体特征(包括患者性别和治疗意向)的纵向影响,以更好地了解它们对癌症护理期间心理不适应的影响。
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来源期刊
Advances in Radiation Oncology
Advances in Radiation Oncology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.60
自引率
4.30%
发文量
208
审稿时长
98 days
期刊介绍: The purpose of Advances is to provide information for clinicians who use radiation therapy by publishing: Clinical trial reports and reanalyses. Basic science original reports. Manuscripts examining health services research, comparative and cost effectiveness research, and systematic reviews. Case reports documenting unusual problems and solutions. High quality multi and single institutional series, as well as other novel retrospective hypothesis generating series. Timely critical reviews on important topics in radiation oncology, such as side effects. Articles reporting the natural history of disease and patterns of failure, particularly as they relate to treatment volume delineation. Articles on safety and quality in radiation therapy. Essays on clinical experience. Articles on practice transformation in radiation oncology, in particular: Aspects of health policy that may impact the future practice of radiation oncology. How information technology, such as data analytics and systems innovations, will change radiation oncology practice. Articles on imaging as they relate to radiation therapy treatment.
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