Objective: To evaluate the influence of obesity, fertility status, and androgenism scores on health-related quality of life in women with polycystic ovary syndrome (PCOS). Design: Cross-sectional, correlational. Setting: Private reproductive endocrinology practice in two southeast U.S. cities. Participants: Convenience sample of 128 women with PCOS, half of whom were attempting to conceive in addition to being treated for PCOS. Most were White (97%), married (78%), with a mean age of 30.4 years (SD ± 5.5). Main Outcome Measures: The Health-Related Quality of Life Questionnaire (PCOSQ) for women with polycystic ovary syndrome. A laboratory panel and clinical measures, including body mass index, waist-to-hip ratio, and degree of hirsutism. Results: The most common health-related quality of life concern reported by women with PCOS was weight, followed in descending order by menstrual problems, infertility, emotions, and body hair. Conclusions: The psychological implications of PCOS are easily underestimated and have been largely ignored. Nursing has a pivotal role in recognizing these concerns and implementing therapy to improve quality of life in women with PCOS.

A síndrome dos ovários policísticos (SOP) é o distúrbio endócrino-metabólico mais frequente na menacme, com prevalência de 7 a 10 %, contribuindo com o aumento do risco cardiovascular e/ou diabetes mellitus tipo II nessas mulheres. OBJETIVOS: Identificar as características epidemiológicas e os diferentes fenótipos da SOP, a prevalência da síndrome metabólica encontrada em cada fenótipo e os fatores associados ao risco metabólico dessas pacientes. CASUÍSTICA E MÉTODO: Estudo observacional com 566 mulheres entre 14 e 39 anos portadoras de SOP, segundo o consenso de Rotterdam. O risco metabólico foi avaliado pela análise descritiva com intervalo de confiança de 95%. As variáveis quantitativas foram testadas pelo método de Shapiro-Wilk e teste não paramétrico de Mann-Whitney. Para a análise multivariada usou-se a razão de prevalências entre as diversas variáveis independentes e o desfecho risco metabólico. Identificamos os fatores associados ao risco metabólico empregando a regressão de Cox com variância robusta. RESULTADOS: Das 566 pacientes, 27,9% tinham entre 20 e 24 anos; 84,5% eram afrodescendentes; 90,6% apresentavam irregularidade menstrual; 91,8% hirsutismo; 77,7% ovários aumentados e/ou policísticos; 15,7% com pelo menos um filho; IMC elevado em 66,5%; CA superior a 88 em 51%; pressão arterial sistólica e diastólica elevadas em 38,9% e 20% das pacientes respectivamente; 7,7% intolerância a carboidratos, 40,8% de HDL-colesterol reduzido, 8,8% de triglicerídeos elevados. Encontramos risco metabólico em 21%, com predomínio dos fenótipos E (28,4%), B (25%) e A (22%). Antecedentes familiares de diabete, hipertensão arterial, câncer ginecológico e câncer não ginecológico não contribuíram, com significância estatística, para o aumento de eventos metabólicos. O acréscimo de um ano na idade elevou o risco em 5%. A cada subida de uma unidade no IMC foram adicionados 8%. A presença de hirsutismo triplicou o risco. Pacientes com pelo menos um filho apresentaram duas vezes mais síndrome metabólica do que as sem filhos. CONCLUSÕES: Foi observada maior frequência de síndrome metabólica entre os fenótipos que apresentam em comum oligoanovulação e hirsutismo (E, B e A). Em pacientes com SOP a idade, a paridade, a presença de hirsutismo e obesidade foram os fatores independentemente relacionados ao aumento do risco metabólico / Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder that is more frequent in premenopausal, affecting 7 to 10% of women, contributing to the increase of cardiovascular and/or type II diabetes mellitus risk. OBJECTIVES: To identify the epidemiological characteristics and different phenotypes of PCOS, the prevalence of metabolic syndrome found in each phenotype and metabolic risk factors associated with these patients. PATIENTS AND METHODS: Observational study of 566 women between 14 and 39 years with PCOS according to the Rotterdam criteria. The metabolic risk was assessed by descriptive analysis with a confidence interval of 95%. Quantitative variables were tested by using Shapiro-Wilk method and nonparametric Mann-Whitney test. For the multivariate analysis the prevalence ratio between several independent variables and the outcome metabolic risk were used. Factors associated with the metabolic risk were identified by using Cox regression with a robust variance. RESULTS: Of 566 patients, 27.9% were between 20 and 24 years, 84.5% were of African descents; 90.6% had oligoanovulation; 91.8% hirsutism; 77.7% enlarged ovaries and/or polycystic, 15.7% with at least one child in high BMI 66.5%, CA 88 exceeding 51%; systolic and diastolic blood pressure elevated by 38.9% and 20% of patients, respectively, 7.7% carbohydrate intolerance, 40.8% HDL-cholesterol changed, 8.8% triglyceride levels. Metabolic risk found in 21%, with a predominance of E phenotypes (28.4%), B (25%) and A (22.1%). Family history of diabetes, hypertension, gynecological cancer and gynecological cancer does not contribute with statistical significance for increased metabolic events. The one-year increase in age raised the risk by 5%. Every increase of one unit in BMI 8% were added. Presence of hirsutism tripled the risk. Patients with at least one child were twice as metabolic syndrome than those without children. CONCLUSIONS: A higher frequency of metabolic syndrome phenotypes that have in common oligoanovulation and hirsutism (E, B and A) were observed. Independently associated factors with the metabolic risk in PCOS patients were age, parity, hirsutism and obesity

A síndrome dos ovários policísticos (SOP) é o distúrbio endócrino-metabólico mais frequente na menacme, com prevalência de 7 a 10 %, contribuindo com o aumento do risco cardiovascular e/ou diabetes mellitus tipo II nessas mulheres. OBJETIVOS: Identificar as características epidemiológicas e os diferentes fenótipos da SOP, a prevalência da síndrome metabólica encontrada em cada fenótipo e os fatores associados ao risco metabólico dessas pacientes. CASUÍSTICA E MÉTODO: Estudo observacional com 566 mulheres entre 14 e 39 anos portadoras de SOP, segundo o consenso de Rotterdam. O risco metabólico foi avaliado pela análise descritiva com intervalo de confiança de 95%. As variáveis quantitativas foram testadas pelo método de Shapiro-Wilk e teste não paramétrico de Mann-Whitney. Para a análise multivariada usou-se a razão de prevalências entre as diversas variáveis independentes e o desfecho risco metabólico. Identificamos os fatores associados ao risco metabólico empregando a regressão de Cox com variância robusta. RESULTADOS: Das 566 pacientes, 27,9% tinham entre 20 e 24 anos; 84,5% eram afrodescendentes; 90,6% apresentavam irregularidade menstrual; 91,8% hirsutismo; 77,7% ovários aumentados e/ou policísticos; 15,7% com pelo menos um filho; IMC elevado em 66,5%; CA superior a 88 em 51%; pressão arterial sistólica e diastólica elevadas em 38,9% e 20% das pacientes respectivamente; 7,7% intolerância a carboidratos, 40,8% de HDL-colesterol reduzido, 8,8% de triglicerídeos elevados. Encontramos risco metabólico em 21%, com predomínio dos fenótipos E (28,4%), B (25%) e A (22%). Antecedentes familiares de diabete, hipertensão arterial, câncer ginecológico e câncer não ginecológico não contribuíram, com significância estatística, para o aumento de eventos metabólicos. O acréscimo de um ano na idade elevou o risco em 5%. A cada subida de uma unidade no IMC foram adicionados 8%. A presença de hirsutismo triplicou o risco. Pacientes com pelo menos um filho apresentaram duas vezes mais síndrome metabólica do que as sem filhos. CONCLUSÕES: Foi observada maior frequência de síndrome metabólica entre os fenótipos que apresentam em comum oligoanovulação e hirsutismo (E, B e A). Em pacientes com SOP a idade, a paridade, a presença de hirsutismo e obesidade foram os fatores independentemente relacionados ao aumento do risco metabólico / Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder that is more frequent in premenopausal, affecting 7 to 10% of women, contributing to the increase of cardiovascular and/or type II diabetes mellitus risk. OBJECTIVES: To identify the epidemiological characteristics and different phenotypes of PCOS, the prevalence of metabolic syndrome found in each phenotype and metabolic risk factors associated with these patients. PATIENTS AND METHODS: Observational study of 566 women between 14 and 39 years with PCOS according to the Rotterdam criteria. The metabolic risk was assessed by descriptive analysis with a confidence interval of 95%. Quantitative variables were tested by using Shapiro-Wilk method and nonparametric Mann-Whitney test. For the multivariate analysis the prevalence ratio between several independent variables and the outcome metabolic risk were used. Factors associated with the metabolic risk were identified by using Cox regression with a robust variance. RESULTS: Of 566 patients, 27.9% were between 20 and 24 years, 84.5% were of African descents; 90.6% had oligoanovulation; 91.8% hirsutism; 77.7% enlarged ovaries and/or polycystic, 15.7% with at least one child in high BMI 66.5%, CA 88 exceeding 51%; systolic and diastolic blood pressure elevated by 38.9% and 20% of patients, respectively, 7.7% carbohydrate intolerance, 40.8% HDL-cholesterol changed, 8.8% triglyceride levels. Metabolic risk found in 21%, with a predominance of E phenotypes (28.4%), B (25%) and A (22.1%). Family history of diabetes, hypertension, gynecological cancer and gynecological cancer does not contribute with statistical significance for increased metabolic events. The one-year increase in age raised the risk by 5%. Every increase of one unit in BMI 8% were added. Presence of hirsutism tripled the risk. Patients with at least one child were twice as metabolic syndrome than those without children. CONCLUSIONS: A higher frequency of metabolic syndrome phenotypes that have in common oligoanovulation and hirsutism (E, B and A) were observed. Independently associated factors with the metabolic risk in PCOS patients were age, parity, hirsutism and obesity