Menstrual Cycle Alterations during Adolescence: Early Expression of Metabolic Syndrome and Polycystic Ovary Syndrome

被引:18
作者
da Silva Bouzas, Isabel Cristina [1 ]
Cader, Samaria Ali [2 ]
Leao, Lenora [1 ]
Kuschnir, Maria Cristina [1 ]
Braga, Claudia [1 ]
机构
[1] Univ Estado Rio de Janeiro, BR-20550011 Rio De Janeiro, Brazil
[2] Univ Catolic Nuestra Sennora Asunc, Asuncion, Paraguay
关键词
Menstrual cycle; Adolescents; Insulin resistance; Metabolic syndrome; Polycystic ovary syndrome; INSULIN-RESISTANCE; YOUNG-ADULTS; OBESITY; HEALTH; GIRLS; RISK; PREVALENCE; CHILDREN; CRITERIA; MANAGEMENT;
D O I
10.1016/j.jpag.2014.01.002
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Study Objective: To assess the importance of the menstrual pattern as a marker for clinical and laboratory alterations related to metabolic syndrome (MS) and polycystic ovary syndrome (PCOS) among Brazilian adolescents. Design: A cross-sectional study. Setting: Endocrine Gynecology Outpatient Clinic of the Adolescent Health Studies Center (NESA) at the Pedro Ernesto University Hospital. Participants: 59 girls (12-19 years old) were classified by their menstrual cycles as regular (n = 23) and irregular (n = 36). Intervention: None. Main Outcome Measures: Biochemical collections were made of peripheral blood after fasting for 12 hours, and the oral glucose tolerance test with 75 g of anhydrous glucose. Results: PCOS, MS, and the criteria for MS were significantly more frequent (P < .05) in the subgroup with irregular menstruation. Adolescents with irregular cycles presented a significant increase in waist circumference, glycemia 2 hours after oral glucose overload (2 h), fasting and 2-h insulin, HOMA-IR, and triglycerides. In contrast, the glucose/insulin ratio, quantitative insulin-sensitivity check index, and HDL serum levels were significantly lower among patients with irregular menstruation, compared to those with regular cycles. In the logistic regression, we noted that insulin 2 h >= 75 mu IU/mL (r = 1.90; P = .018), waist circumference > 95 cm (r = 2.21; P = .006) and diagnosis of PCOS (r = 1.93; P = .023) were significantly correlated to irregular cycles. Conclusions: We concluded that close observation of menstrual cycle patterns is an important tool for identifying adolescents at higher risk of developing PCOS and MS.
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页码:335 / 341
页数:7
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