Effectiveness of mineral supplements (magnesium, chromium, zinc, selenium, chromium picolinate) in reducing insulin resistance in polycystic ovary syndrome: a meta-analysis of randomized controlled trials
Abstract
BACKGROUND: Polycystic ovary syndrome (PCOS) often leads to insulin resistance, affecting glucose and fat metabolism. This study aimed to explore the impact of mineral supplements on insulin resistance, blood sugar, and lipid profiles in women with PCOS. METHODS: A systematic review of randomized controlled trials (RCTs) was conducted across four databases. The risk of bias was assessed using the Cochrane Risk of Bias 2 tool. Mineral supplements were compared with a placebo in all studies, and data were analyzed using fixed-effect and random-effects models to assess the impact on metabolic parameters. RESULTS: This meta-analysis included 11 RCTs involving 618 women with PCOS. Mineral supplementation was associated with significant reductions in fasting blood glucose (SMD = − 0.34, p < 0.001), fasting insulin (SMD = − 0.72, p < 0.001), and HOMA-IR (SMD = − 0.75, p < 0.001). In addition, total cholesterol (SMD = − 0.35, p < 0.001) and triglyceride levels (SMD = − 0.58, p < 0.001) were significantly reduced. A small but statistically significant reduction in HDL levels was also observed (SMD = − 0.19, p = 0.04). No significant effect was found on LDL-C (SMD = − 0.11, p = 0.55). CONCLUSION: Mineral supplementation may improve insulin resistance and selected metabolic parameters in PCOS, with the most consistent effects observed for glycemic indices. Effects on lipid parameters were mixed. Further large-scale, well-designed trials are needed to clarify long-term benefits and…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 618 participants or records.
Read the paper
Related studies
- Increased expression of circulating miRNA-93 in women with polycystic ovary syndrome may represent a novel, non-invasive biomarker for diagnosis
- Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis
- Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
- Regulation of Androgen Receptor Expression Alters AMPK Phosphorylation in the Endometrium: In Vivo and In Vitro Studies in Women with Polycystic Ovary Syndrome
- Effect of oral administration of low-dose follicle stimulating hormone on hyperandrogenized mice as a model of polycystic ovary syndrome
- Systems pharmacology to investigate the interaction of berberine and other drugs in treating polycystic ovary syndrome
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.