Explore the auricular acupressure to improve the effectiveness of sleep disturbance in cancer patients

2012 ◽  
Vol 10 (3) ◽  
pp. 258
Author(s):  
H L Huang ◽  
C I Fan ◽  
S H Hung ◽  
L S Hu ◽  
S H Tsai
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yunxia Wang ◽  
Jiayuan Zhang ◽  
Yuxia Jin ◽  
Qi Zhang

Aim. We aim to provide available synthesized evidence of the efficacy and safety of auricular acupressure for cancer patients with sleep disturbance. Methods. Randomized controlled clinical trials (RCTs) were identified from PubMed, EMBASE, Web of Science, The Cochrane Library, PsycINFO, Chinese Biomedical Database, China National Knowledge Infrastructure, Chongqing VIP, and Wanfang Data, and the search date ranged from the inception of the databases to May 2021. Literature screening and data extraction were independently performed by three researchers. The Cochrane collaboration’s tool for assessing the risk of bias was applied to evaluate the risk of bias of the RCTs included. The extracted data were analyzed using Rev-Man 5.4.1 software. Results. Nine trials involving 688 participants met the inclusion criteria and were included in the qualitative analysis; 6 trials involving 485 participants were included in the meta-analysis. Synthesized results showed that auricular acupressure had a significant effect on reducing the total Pittsburgh Sleep Quality Index (PSQI) score (MD = −3.88, 95% CI (−5.24, −2.53), P < 0.00001 ), and the scores of five PSQI components, sleep latency (MD = −0.53, 95% CI (−0.73, −0.32), P < 0.00001 ), subjective sleep quality (MD = −0.79, 95% CI (−1.05, −0.53), P < 0.00001 ), sleep duration (MD = −0.50, 95% CI (−0.69, −0.31), P < 0.0001 ), daytime dysfunction (MD = −0.53, 95% CI (−0.77, −0.29), P < 0.0001 ), and sleep disturbances (MD = −0.54, 95% CI (−0.60, −0.49), P < 0.00001 ), were also obviously decreased after the intervention of auricular acupressure. Shenmen and heart were the most commonly selected auricular acupoints, the main intervention durations ranged from 10 to 42 days, and the pressing times of auricular acupoints were 1–6 times a day, 1–5 min each time. One trial reported slight and transient pain caused by auricular acupressure, while the remaining 8 trials did not report obvious side effects. Conclusion. Auricular acupressure can significantly improve the sleep quality of cancer patients with sleep disturbance, with no obvious side effects. Rigorously designed clinical trials are necessary for the further support of the clinical application.


2012 ◽  
Vol 20 (10) ◽  
pp. 2611-2619 ◽  
Author(s):  
Christina Van Onselen ◽  
Bruce A. Cooper ◽  
Kathryn Lee ◽  
Laura Dunn ◽  
Bradley E. Aouizerat ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Jun Wang ◽  
Bei-Yun Zhou ◽  
Chen-Lu Lian ◽  
Ping Zhou ◽  
Hui-Juan Lin ◽  
...  

Background: The factors associated with sleep disturbances in cancer patients remains unclear. This study aimed to explore the prevalence of sleep disorders and predictors associated with sleep disturbance in cancer patients from a radiotherapy department.Methods: Patients with cancers were recruited before the start of radiotherapy from our institution between January 2019 and February 2020. Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality. Descriptive statistics, Chi-square test, and multivariate logistic regression analysis were used to conduct statistical analysis.Results: A total of 330 eligible patients were included. Of them, 38.3% (n = 127) had the globe PSQI score &gt;7, indicating that they suffered from sleep disorders. Patients with lung cancer (45.2%) were more likely to suffer from sleep disturbance, followed by cervical cancer (43.8%), nasopharyngeal carcinoma (41.7%), esophageal cancer (41.5%), breast cancer (37.7%), and colorectal cancer (30%). With regard to the PSQI components, the mean sleep duration was 8 h, 20.3% (n = 67) of them reported poor subjective sleep quality, 6.1% (n = 20) needed medication to improve sleep, and 53.6% (n = 177) suffered daytime dysfunction. Multivariate logistic regression models showed body mass index (BMI) ≥ 20 kg/m2 [odds ratio (OR) 0.599, 95% confidence interval (CI) 0.329–0.948, P = 0.031] and the receipt of surgery (OR 0.507, 95% CI 0.258–0.996, P = 0.048) were the significant favorable predictors for sleep disturbance, while age, gender, marital status, education level, comorbidity, metastasis status, diagnostic status, and cancer type were not significantly associated with sleep disturbance.Conclusions: Approximately 40% of the cancer patients suffer from sleep disturbance before the start of radiotherapy. Patients with BMI ≥ 20 kg/m2 and receiving surgery are less likely to develop sleep disturbance in comparison with others.


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