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J Menopausal Med. 2018 Apr;24(1):29-33. English. Randomized Controlled Trial. https://doi.org/10.6118/jmm.2018.24.1.29
Afiat M , Amini E , Ghazanfarpour M , Nouri B , Mousavi MS , Babakhanian M , Rakhshandeh H .
Obstetrics and Gynecology, Women's Health Research Center, Department of Obstetrics and Gynecology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Department of Midwifery, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
Evidence-Based Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. Masumeh.Ghazanfarpour@yahoo.com
Department of Medical Science, Mashhad University of Medical Sciences, Mashhad, Iran.
Department of Midwifery, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.
Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Pharmacological Research Center of Medicinal Plants, Mashhad University of Medical Sciences, Mashhad, Iran.
Abstract

Objectives

The present trial aimed to assess the effects of Fennel (Foeniculum vulgare Mill.) on lipid profiles.

Methods

In this double blind, randomized and placebo-controlled trial, sixty eligible postmenopausal women were randomly assigned into the fennel and placebo groups. Total blood cholesterol, cholesterol fractions, and triglycerides were tested at the baseline, and after three-month follow-up.

Results

There was no significant difference in triglyceride (P = 0.679), total cholesterol (P = 0.103), low-density lipoprotein cholesterol (LDL-C; P = 0.146) and high-density lipoprotein cholesterol (HDL-C; P = 0.266) levels between the two groups. In addition, in both groups, a paired t.test showed no significant difference in all mentioned parameters, except for HDL-C, indicating significant borderline improvement (P = 0.052) in the fennel group.

Conclusions

The fennel group revealed a very slight positive change in LDL-C, triglyceride and HDL-C. Further studies with longer durations, higher doses, and larger sample sizes are recommended to validate the results.

Copyright © 2019. Korean Association of Medical Journal Editors.