
Effect of onion on blood lipid profile: A meta‐analysis of randomized controlled trials
Author(s) -
Huang Wang,
Tang Gang,
Zhang Linyu,
Tao Jie,
Wei Zhengqiang
Publication year - 2021
Publication title -
food science and nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.614
H-Index - 27
ISSN - 2048-7177
DOI - 10.1002/fsn3.2309
Subject(s) - dyslipidemia , meta analysis , lipid profile , cochrane library , medicine , randomized controlled trial , confidence interval , total cholesterol , cholesterol , blood lipids , gastroenterology , obesity
Background Studies indicate that onion supplementation may be effective in the treatment of dyslipidemia; however, the results remain controversial. This meta‐analysis was conducted to evaluate potential benefits of onion on lipid profile. Methods Up to 12 October 2020, PubMed, Cochrane Library, Web of Science, and Scopus were searched for randomized controlled trials evaluating the effects of onion on lipid profile. Mean differences (MD) and 95% confidence intervals (CI) were calculated. Meta‐analysis was conducted using the fixed‐effects model. Results Ten trials with 446 participants in total were included in the meta‐analysis. The pooled findings of 10 studies suggested that onion supplementation significantly improved high‐density lipoprotein cholesterol (HDL) (MD: 2.29 mg/dl; 95% CI: 0.87, 3.72; I 2 = 0%) and low‐density lipoprotein cholesterol (LDL) (MD: −6.64 mg/dl; 95% CI: −10.91, −2.36; I 2 = 32%),while onion supplementation did not significantly lower triglycerides (TG) (MD: −6.55 mg/dl; 95% CI: −15.64, 2.53; I 2 = 45%). Analysis of nine trials showed a significant reduction in total cholesterol (TC) (MD: −5.39 mg/dl; 95% CI: −10.68, −0.09; I 2 = 49%) in patients with onion supplementation compared to the control group. Conclusion In summary, supplementation of onion was beneficial to control dyslipidemia, including improving levels of HDL, LDL, and TC, but could not reduce TG level. The therapeutic benefits of onion for dyslipidemia need to be treated with caution considering that some of the results are not robust.