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Acupuncture Improves Sleep Disorders and Depression among Patients with Parkinson's Disease: A Meta-Analysis.
- Source :
-
Healthcare (Basel, Switzerland) [Healthcare (Basel)] 2023 Jul 17; Vol. 11 (14). Date of Electronic Publication: 2023 Jul 17. - Publication Year :
- 2023
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Abstract
- Parkinson's disease (PD) is associated with a range of non-motor symptoms that lack effective treatments. Acupuncture is a popular alternative therapy for PD patients that has been shown to improve motor symptoms. However, the efficacy of acupuncture in treating non-motor symptoms has remained controversial. The goal of our study was to systematically assess the existing evidence for acupuncture's efficacy in treating PD non-motor symptoms of sleep disorders, depression, anxiety, and fatigue. We conducted a meta-analysis of clinical trials by searching Pubmed, Embase, CINAHL, and Web of Science as electronic databases to evaluate acupuncture treatment for PD non-motor symptoms. Thirteen clinical trials met our inclusion criteria, and their methodological quality was assessed using the modified Jadad scale, indicating a moderate overall quality. Our results showed that acupuncture improved PD-related sleep disorders and depression but had no effect on anxiety and fatigue. Our meta-analysis suggests that acupuncture can be used as a complementary treatment for sleep disturbances and depression in PD patients and may exhibit a dual therapeutic effect on motor and non-motor symptoms. However, further well-designed clinical trials with larger sample sizes are needed to confirm these findings. Overall, our study highlights the potential of acupuncture as a viable complementary therapy for the treatment of PD non-motor symptoms of sleep disorders and depression, which can improve the quality of life of PD patients.
Details
- Language :
- English
- ISSN :
- 2227-9032
- Volume :
- 11
- Issue :
- 14
- Database :
- MEDLINE
- Journal :
- Healthcare (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 37510483
- Full Text :
- https://doi.org/10.3390/healthcare11142042