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. 2022 Sep 23:24:32-39.
doi: 10.1016/j.tipsro.2022.09.005. eCollection 2022 Dec.

Effects of yoga practice on physiological distress, fatigue and QOL in patients affected by breast cancer undergoing adjuvant radiotherapy

Affiliations

Effects of yoga practice on physiological distress, fatigue and QOL in patients affected by breast cancer undergoing adjuvant radiotherapy

Simona Micheletti et al. Tech Innov Patient Support Radiat Oncol. .

Abstract

Background and purpose: In this study we want to evaluate the efficacy of yoga practice on dysfunctional stress, inflammation and QOL in breast cancer patients undergoing adjuvant radiotherapy.

Patients and methods: Patients with stage 0 to III breast cancer were recruited before starting radiotherapy (XRT) and were randomly assigned to yoga group (YG) two times a week during XRT or control group (CG). Self-report measures of QOL, fatigue and sleep quality, and blood samples were collected at day 1 of treatment, day 15, end of treatment and 1, 3 and 6 months later. Cortisol blood level, IL6, IL10, IL1RA, TNFα and lymphocyte-to-monocyte ratio were analyzed as measures of dysfunctional stress and inflammation.

Results: Patients started XRT and yoga classes in October 2019. Due to COVID-19 pandemic we closed the enrollment in March 2020. We analysed 24 patients, 12 YG and 12 CG. The analysis of blood cortisol levels revealed an interaction (p = 0.04) between yoga practice and time, in particular YG had lower cortisol levels at the end of XRT respect to CG (p-adj = 0.02). The analysis of IL-1RA revealed an interaction effect (p = 0.04) suggesting differences between groups at some time points that post-hoc tests were not able to detect.

Conclusions: To our knowledge, this is the first study to evaluate the effects of yoga in a cancer population studying inflammation markers, cortisol trend and QOL during and until 6 months after XRT. This study suggests that yoga practice is able to reduce stress and inflammation levels over time. Besides including a larger number of patients to increase the power, future studies should consider other inflammatory or pro inflammatory factors and long-term yoga program to gain more evidence on yoga practice benefits.

Keywords: BFI, brief fatigue inventory; BH, Benjamini-Hochberg; BP, bodily pain; Breast cancer; CG, control group; EF, emotional functioning; GH, general health; LMR, lymphocyte-monocyte ratio; MCS, mental component scale; MH, mental health; Oncology; PCS, physical component scale; PF, physical functioning; PSQI, Pittsburgh sleep quality index; Physiological distress; QOL, quality of life; RE, role emotional; RP, role physical; Radiotherapy; SF, social functioning; VT, vitality; XRT, Radiotherapy; YG, yoga group; Yoga.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Diagram of study participants over study period.
Fig. 2
Fig. 2
Cortisol levels at each assessment for Yoga group (YG) and control group (CG). In × axis the time point, in y axis the boxplot of values. Box limits indicate the range of the central 50 % of the data (1st-3rd quartiles), while the central line marks the median value. (A) Both YG and CG; (B) Only YG to show the time effect.
Fig. 3
Fig. 3
Proinflammatory cytokines levels at each assessment for Yoga group (YG) and control group (CG). In × axis the time point, in y axis the boxplot of values. Box limits indicate the range of the central 50 % of the data (1st-3rd quartiles), while the central line marks the median value. (A) IL-6; (B) IL-10; (C) Time effect on IL-1Ra in YG; (D) Time effect on IL-1Ra in CG.
Fig. 4
Fig. 4
Lymphocyte-to-monocyte ratio (LMR) at each assessment ignoring practice factors. In × axis the time point, in y axis the boxplot of values. Box limits indicate the range of the central 50 % of the data (1st-3rd quartiles), while the central line marks the median value.

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