Exercise Interventions in Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

Introduction: Polycystic Ovary syndrome (PCOS) is a metabolic disorder associated with increased cardiovascular disease risk. Exercise is an effective treatment strategy to manage symptoms and reduce long-term health risk. High-intensity interval training (HIIT) has been suggested as a more efficient exercise mode in PCOS; however, it is not clear whether HIIT is superior to moderate intensity steady state exercise (MISS).Methods: We synthesized available data through a systematic review and meta-analysis to compare the effectiveness of isolated HIIT and MISS exercise interventions. Our primary outcome measures were cardiorespiratory fitness and insulin resistance, measured using V˙O2max and HOMA-IR respectively.Results: A total of 16 studies were included. Moderate-quality evidence from 16 studies identified significant improvements in V˙O2max following MISS (Δ = 1.081 ml/kg/min, p < 0.001, n = 194), but not HIIT (Δ = 0.641 ml/kg/min, p = 0.128, n = 28). Neither HIIT nor MISS improved HOMA-IR [(Δ = −0.257, p = 0.374, n = 60) and (Δ = −0.341, p = 0.078, n = 159), respectively].Discussion: A significant improvement in V˙O2max was evident following MISS, but not HIIT exercise in women with PCOS. This contrasts with previous literature in healthy and clinical cohorts that report superior benefits of HIIT. Therefore, based on available moderate-quality evidence, HIIT exercise does not provide superior outcomes in V˙O2max compared with MISS, although larger high-quality interventions are needed to fully address this. Additional dietary/pharmacological interventions may be required in conjunction with exercise to improve insulin sensitivity.

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Faculty Opinions recommendation of Inositol supplementation in women with polycystic ovary syndrome undergoing intracytoplasmic sperm injection: a systematic review and meta-analysis of randomized controlled trials.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.734283508.793559362 ◽

2019 ◽

Author(s):

Fernando Reis

Keyword(s):

Systematic Review ◽

Polycystic Ovary Syndrome ◽

Randomized Controlled Trials ◽

Intracytoplasmic Sperm Injection ◽

Polycystic Ovary ◽

Meta Analysis ◽

Controlled Trials ◽

Ovary Syndrome ◽

Randomized Controlled

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Associations Between Serum Magnesium Concentrations and Polycystic Ovary Syndrome Status: a Systematic Review and Meta-analysis

Biological Trace Element Research ◽

10.1007/s12011-020-02275-9 ◽

2020 ◽

Author(s):

Maedeh Babapour ◽

Hamed Mohammadi ◽

Maryam Kazemi ◽

Amir Hadi ◽

Mahsa Rezazadegan ◽

...

Keyword(s):

Systematic Review ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Meta Analysis ◽

Serum Magnesium ◽

Ovary Syndrome

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Non‐alcoholic fatty liver disease in premenopausal women with polycystic ovary syndrome: A systematic review and meta‐analysis

JGH Open ◽

10.1002/jgh3.12512 ◽

2021 ◽

Vol 5 (4) ◽

pp. 434-445

Author(s):

Mohamed Shengir ◽

Tianyan Chen ◽

Elena Guadagno ◽

Agnihotram V Ramanakumar ◽

Peter Ghali ◽

...

Keyword(s):

Systematic Review ◽

Liver Disease ◽

Polycystic Ovary Syndrome ◽

Fatty Liver Disease ◽

Polycystic Ovary ◽

Meta Analysis ◽

Premenopausal Women ◽

Ovary Syndrome ◽

Alcoholic Fatty Liver ◽

Alcoholic Fatty Liver Disease

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Relationships Between Biochemical Markers of Hyperandrogenism and Metabolic Parameters in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis

Hormone and Metabolic Research ◽

10.1055/a-0806-8281 ◽

2019 ◽

Vol 51 (01) ◽

pp. 22-34 ◽

Cited By ~ 6

Author(s):

Mina Amiri ◽

Fahimeh Tehrani ◽

Razieh Bidhendi-Yarandi ◽

Samira Behboudi-Gandevani ◽

Fereidoun Azizi ◽

...

Keyword(s):

Systematic Review ◽

Polycystic Ovary Syndrome ◽

Biochemical Markers ◽

Polycystic Ovary ◽

Meta Analysis ◽

Metabolic Parameters ◽

High Density Lipoproteins ◽

Total Testosterone ◽

Ovary Syndrome ◽

Increased Risk

AbstractWhile several studies have documented an increased risk of metabolic disorders in patients with polycystic ovary syndrome (PCOS), associations between androgenic and metabolic parameters in these patients are unclear. We aimed to investigate the relationships between biochemical markers of hyperandrogenism (HA) and metabolic parameters in women with PCOS. In this systematic review and meta-analysis, a literature search was performed in the PubMed, Scopus, Google Scholar, ScienceDirect, and Web of Science from 2000 to 2018 for assessing androgenic and metabolic parameters in PCOS patients. To assess the relationships between androgenic and metabolic parameters, meta-regression analysis was used. A total number of 33 studies involving 9905 patients with PCOS were included in this analysis. The associations of total testosterone (tT) with metabolic parameters were not significant; after adjustment for age and BMI, we detected associations of this androgen with low-density lipoproteins cholesterol (LDL-C) (β=0.006; 95% CI: 0.002, 0.01), high-density lipoproteins cholesterol (HDL-C) (β=–0.009; 95% CI: –0.02, –0.001), and systolic blood pressure (SBP) (β=–0.01; 95% CI: –0.03, –0.00). We observed a positive significant association between free testosterone (fT) and fasting insulin (β=0.49; 95% CI: 0.05, 0.91); this association remained significant after adjustment for confounders. We also detected a reverse association between fT and HDL-C (β=–0.41; 95% CI: –0.70, –0.12). There was a positive significant association between A4 and TG (β=0.02; 95% CI: 0.00, 0.04) after adjustment for PCOS diagnosis criteria. We also found significant negative associations between A4, TC, and LDL-C. Dehydroepiandrosterone sulfate (DHEAS) had a positive association with LDL-C (β=0.02; 95% CI: 0.001, 0.03) and a reverse significant association with HDL-C (β=–0.03; 95% CI: –0.06, –0.001). This meta-analysis confirmed the associations of some androgenic and metabolic parameters, indicating that measurement of these parameters may be useful for predicting metabolic risk in PCOS patients.

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