Skip main navigation

The effects of mind-body interventions on sleep in cancer patients

The effects of mind-body interventions on sleep in cancer patients: a meta-analysis of randomized controlled trials.
© Chiu HY, Chiang PC, Miao NF, Lin EY, Tsai PS.

Here is Prof. Tsai’s article about meta-analysis of randomized controlled trials.

OBJECTIVE:

To examine the effect of mind-body interventions (MBIs) on sleep quality among cancer patients, the moderating effects of the intervention components, subject characteristics, and methodological features of the relationship between MBIs and sleep.

DATA SOURCES:

Electronic databases, including PubMed, Cochrane Library, PsycINFO, and CINAHL, containing data with English-language restriction recorded up to September 15, 2013 were searched thoroughly using keywords related to various types of MBI and sleep.

STUDY SELECTION:

Of the 114 identified citations, 99 were ineligible. Fifteen studies that followed 1,405 patients with cancer met the inclusion criteria and were analyzed.

DATA EXTRACTION:

The primary outcome was change in the sleep parameter. Other variables related to components of MBIs, subject characteristics, and methodological features of the studies were also extracted.

DATA SYNTHESIS:

The weighted mean effect size (ES) was -0.43 (95% confidence interval [CI], -0.24 to -0.62) and the long-term effect size (up to 3 months) was -0.29 (95% CI, -0.52 to -0.06). The sensitivity analysis revealed that MBIs had a significant effect on sleep (g = -0.33, P < .001). The moderating effects of components of the intervention, methodological features, subject characteristics, and quality of the studies on the relationship between MBIs and sleep were not found (all P values > .05).

CONCLUSIONS:

This meta-analysis confirms that the MBIs yielded a medium effect size on sleep quality and the effect was maintained for up to 3 months. The findings support the implementation of MBIs into the multimodal approach to managing sleep quality in patients with cancer.

© Chiu HY, Chiang PC, Miao NF, Lin EY, Tsai PS.
This article is from the free online

Digital Health for Cancer Management: Smart Health Technologies in Complex Diseases

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now