JOURNAL ARTICLE
Comparing the Efficacy of Select Nutraceuticals for Sleep Disorders: A Network Meta-Analysis.
Published In: Current Topics in Nutraceutical Research, 2024, v. 22, n. 3. P. 920 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Yanting, I.; Alejandro, D.; Hoilun, C. 3 of 3
Abstract
This research utilized a network meta-analysis to conduct a comparative analysis of the efficacy of six prevalent nutraceuticals purported to ameliorate sleep disorders. A comprehensive review of the literature was conducted utilizing PubMed, Embase, Cochrane Library, and the China National Knowledge Infrastructure database to uncover the efficacy of vitamin D, traditional Chinese medicine containing Zao Ren (Ziziphi Spinosae Semen) and saffron as the main ingredients, L-theanine, gamma-aminobutyric acid, melatonin, and precursors of nicotinamide adenine dinucleotide for mitigating sleep disorders which is evaluated by The Pittsburgh Sleep Quality Index. Through the literature selection process, 16 studies, involving a sample size of 1,038, are utilized in our network meta-analysis, conducted by using R software. The results reveal that, compared to placebo, vitamin D and traditional Chinese medicine demonstrate a significantly superior efficacy in reducing the Pittsburgh Sleep Quality Index. On the other hand, no significant difference in efficacy is observed from the treatment with L-theanine, gamma-aminobutyric acid, melatonin, and precursors of nicotinamide adenine dinucleotide. Therefore, this study advocates that treatment with vitamin D or traditional Chinese medicine may be more efficient in ameliorating sleep disorders. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Current Topics in Nutraceutical Research. 2024/08, Vol. 22, Issue 3, p920
- Document Type:Article
- Subject Area:Complementary and Alternative Medicine
- Publication Date:2024
- ISSN:1540-7535
- DOI:10.37290/ctnr2641-452x.22:920-927
- Accession Number:179149275
- Copyright Statement:Copyright of Current Topics in Nutraceutical Research is the property of New Century Health Publishers, LLC and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.