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Ovulatory status of overweight women without Polycystic Ovary Syndrome

OBJECTIVE: Obesity is one of the extra hypothalamic-pituitary-ovarian axis factors that can influence ovulation. The isolated impact of obesity on ovulation without other comorbidities needs to be further studied. Our goal is to evaluate the association between the anovulation in the ultrasonographi...

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Detalles Bibliográficos
Autores principales: Sasaki, Reinaldo S. A., Approbato, Mário S., Maia, Mônica C. S., Ferreira, Eliamar A. B. Fleury e, Zanluchi, Neuma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Brazilian Society of Assisted Reproduction 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364286/
https://www.ncbi.nlm.nih.gov/pubmed/30614235
http://dx.doi.org/10.5935/1518-0557.20180071
Descripción
Sumario:OBJECTIVE: Obesity is one of the extra hypothalamic-pituitary-ovarian axis factors that can influence ovulation. The isolated impact of obesity on ovulation without other comorbidities needs to be further studied. Our goal is to evaluate the association between the anovulation in the ultrasonographic monitoring of the ovulation cycle and the body mass increase of infertile patients without polycystic ovaries of a university service. METHODS: Case-control study performed at the Human Reproduction Laboratory of the University Hospital. We evaluated 1,356 ultrasound monitoring reports of ovulation between January 2011 and December 2015. We named case those patients who ovulated on the monitored cycle. After applying the exclusion criteria, we consolidated a total of 110 cases and 118 controls. The exposure variables were normal BMI or patients classified with a BMI above normal. Data analysis was performed using SPSS 22.0. Differences in proportions were assessed by X(2) test Pearson, Fisher and Wilcoxon test. The value of p<0.05 was considered statistically significant. RESULTS: The groups were comparable in age, age at menarche, number of pregnancies, deliveries, cesarean sections and abortions, number of antral follicles, FSH, prolactin and TSH values. Among the anovulatory patients, 57 (51.82%) were overweight, while among ovulatory patients, 44 (37.29%) were in this same BMI category. The odds ratio was 1.8655, with a significant p value (p<0.05). CONCLUSION: There was an association between anovulation and increase in the Body Mass Index, with an increased risk of anovulation in patients with BMI above normal.