Insulin Resistance in Patients with Polycystic Ovary Syndrome is a Predictor of Fibromyalgia
Objective This study aims to investigate the frequency of fibromyalgia and its predictors in women with polycystic ovary syndrome (PCOS) and its relationship with insulin resistance, and to assess the effect of fibromyalgia on the anxiety and depressive symptoms in PCOS patients, and how the qua...
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Veröffentlicht in: | Reproductive sciences (Thousand Oaks, Calif.) Calif.), 2024, Vol.31 (1), p.239-247 |
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Sprache: | eng |
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Objective
This study aims to investigate the frequency of fibromyalgia and its predictors in women with polycystic ovary syndrome (PCOS) and its relationship with insulin resistance, and to assess the effect of fibromyalgia on the anxiety and depressive symptoms in PCOS patients, and how the quality of life was affected by this combination.
Measurements
The study was conducted with 74 women with PCOS according to the Rotterdam criteria, which applied to our tertiary care clinic between January 2021 and January 2022, and 51 controls. Endocrinologic and rheumatologic examinations, biochemical and hormonal analyses, and radiologic imaging are made. Hospital anxiety and depression scale (HADs) and Short Form 36 (SF-36) quality of life scale were applied.
Results
There was no statistical difference between patients (
n
= 74 (23%)) and controls (
n
= 51 (13.7%)) in terms of fibromyalgia frequency. This frequency was 41.4% in PCOS patients with insulin resistance. The presence of insulin resistance was significantly higher in patients with PCOS and fibromyalgia (70.4%, 12 of 17 patients with fibromyalgia for the PCOS group; 8.3%, 1 of 7 patients with fibromyalgia for the control group) (χ
2
= 9.130,
p
=0.003). Higher HOMA-IR levels (B = 1.278,
p
= 0.034) and age (B = 1.134,
p
= 0.022) were significant predictors of fibromyalgia in PCOS patients. Physical functioning (U = 1.960,
P
= 0.050), bodily pain subscales (U = 2.765,
p
= 0.006), and physical health summary measure (U = 2.296,
p
= 0.022) were significantly lower, VAS pain (U = 5.145,
p
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ISSN: | 1933-7191 1933-7205 1933-7205 |
DOI: | 10.1007/s43032-023-01347-0 |