Irregularidade do ciclo menstrual no Menacme como marcador para fatores de risco cardiovasculares na pós-menopausa

A associação entre fatores de risco cardiovascular (FRCV) na pósmenopausa e o antecedente de irregularidade menstrual no menacme foi avaliado em estudo caso-controle envolvendo 414 mulheres na pósmenopausa com idade de 60,4 ± 5,5 anos e IMC de 25,3 ± 4,7 kg/m2. As variáveis consideradas foram: caracterização do ciclo menstrual entre 20 e 35 anos (independente) e relato atual sobre ocorrência de hipertensão arterial, dislipidemia, diabetes mellitus e doença arterial coronariana (dependentes). Utilizou-se o teste qui-quadrado e modelos de regressão logística, ajustados para outras variáveis implicadas no risco para doenças CV, com nível de significância 5%. Observou-se que mulheres que relataram irregularidade menstrual prévia estiveram associadas com risco aumentado para ocorrência de algum FRCV [odds ratio ajustado (OR)= 2,14; IC-95%= 1,02–4,48], quando comparadas àquelas com ciclos regulares. Análise estratificada demonstrou as seguintes associações significativas com o antecedente de irregularidade menstrual: hipertensão arterial (OR= 2,4; 95% IC= 1,39–5,41), hipercolesterolemia (OR= 2,32; 95% IC= 1,17–4,59), hipertrigliceridemia (OR= 2,09; 95% IC= 1,10–4,33) e angioplastia coronariana (OR= 6,82; 95% IC= 1,44–32,18). Os dados sugerem que o antecedente de irregularidade menstrual, indicativo da ocorrência da síndrome dos ovários policísticos na idade reprodutiva, pode estar relacionado com aumento do risco para doenças CV na pós-menopausa __________________________________________________ABSTRACT Menstrual Cycle Irregularity as a Marker of Cardiovascular Risk Factors at Postmenopausal Years.To evaluate the association between cardiovascular risk factors (CVRF)during postmenopausal years and previous menstrual irregularity during reproductive years, we performed a case-control study in 414 postmenopausal women (mean age 60.4 ± 5.5 years; BMI 25.3 ± 4.7 kg/m2). The variables assessed were: menstrual cycle characteristics at age 20–35y (independent) and records of arterial hypertension, dyslipidemia, diabetes mellitus, and coronary heart disease (dependent). Statistical analysis used the chi-square test and logistic regression, adjusting for potential confounders for cardiovascular risk, with significance set at 5%. Women reporting previous menstrual irregularity were associated with increased risk for some CVRF [adjusted odds ratio (OR) 2.14; CI-95%= 1.02–4.48], when compared with those reporting regular menstrual cycles. Stratified analysis demonstrated significant associations of previous menstrual irregularity with: arterial hypertension [OR= 2.74; CI-95%= 1.39–5.41), hypercholesterolemia (OR= 2.32; CI-95%= 1.17–4.59), hypertriglyceridemia (OR= 2.09; CI-95%=1.10–4.33), and coronary angioplasty (OR= 6.82; CI-95%= 1.44–32.18). These data suggest that a prior history of menstrual irregularity, as indicative of polycystic ovary syndrome, may be related to increased risk for CVD during postmenopausal years

Estado nutricional antropométrico, perfil lipídico e consumo alimentar como fatores de risco para doença cardiovascular em adolescentes

The dyslipidemia and excess weight in adolescents, when combined, suggest a progression of risk factors for cardiovascular disease (CVD). Besides these, the dietary habits and lifestyle have also been considered unsuitable impacting the development of chronic diseases. The study objectives were: (1) estimate the prevalence of lipid profile and correlate with body mass index (BMI), waist circumference (WC) and waist / height ratio (WHR) in adolescents, considering the maturation sexual, (2) know the sources of variance in the diet and the number of days needed to estimate the usual diet of adolescents and (3) describe the dietary patterns and lifestyle of adolescents, family history of CVD and age correlates them with the patterns of risk for CVD, adjusted for sexual maturation. A cross-sectional study was performed with 432 adolescents, aged 10-19 years from public schools of the Natal city, Brazil. The dyslipidemias were evaluated considering the lipid profile, the index of I Castelli (TC / HDL) and II (LDL / HDL) and non-HDL cholesterol. Anthropometric indicators were BMI, WC and WHR. The intake of energy, nutrients including fiber, fatty acids and cholesterol was estimated from two 24-hour recalls (24HR). The variables of lipid profile, anthropometric and clinical data were used in the models of Pearson correlation and linear regression, considering the sexual maturation. The variance ratio of the diet was calculated from the component-person variance, determined by analysis of variance (ANOVA). The definition of the number of days to estimate the usual intake of each nutrient was obtained by taking the hypothetical correlation (r) ≥ 0.9, between nutrient intake and the true observed. We used the principal component analysis as a method of extracting factors that 129 accounted for the dependent variables and known cardiovascular risk obtained from the lipid profile, the index for Castelli I and II, non-HDL cholesterol, BMI, and WC the WHR. Dietary patterns and lifestyle were obtained from the independent variables, based on nutrients consumed and physical activity weekly. In the study of principal component analysis (PCA) was investigated associations between the patterns of cardiovascular risk factors in dietary patterns and lifestyle, age and positive family history of CVD, through bivariate and multiple logistic regression adjusted for sexual maturation. The low HDL-C dyslipidemia was most prevalent (50.5%) for adolescents. Significant correlations were observed between hypercholesterolemia and positive family history of CVD (r = 0.19, p <0.01) and hypertriglyceridemia with BMI (r = 0.30, p <0.01), with the CC (r = 0.32, p <0.01) and WHR (r = 0.33, p <0.01). The linear model constructed with sexual maturation, age and BMI explained about 1 to 10.4% of the variation in the lipid profile. The sources of variance between individuals were greater for all nutrients in both sexes. The reasons for variances were  1 for all nutrients were higher in females. The results suggest that to assess the diet of adolescents with greater precision, 2 days would be enough to R24h consumption of energy, carbohydrates, fiber, saturated and monounsaturated fatty acids. In contrast, 3 days would be recommended for protein, lipid, polyunsaturated fatty acids and cholesterol. Two cardiovascular risk factors as have been extracted in the ACP, referring to the dependent variables: the standard lipid profile (HDL-C and non-HDL cholesterol) and "standard anthropometric index (BMI, WC, WHR) with a power explaining 75% of the variance of the original data. The factors are representative of two independent variables led to dietary patterns, "pattern 130 western diet" and "pattern protein diet", and one on the lifestyle, "pattern energy balance". Together, these patterns provide an explanation power of 67%. Made adjustment for sexual maturation in males remained significant variables: the associations between puberty and be pattern anthropometric indicator (OR = 3.32, CI 1.34 to 8.17%), and between family history of CVD and the pattern lipid profile (OR = 2.62, CI 1.20 to 5.72%). In females adolescents, associations were identified between age after the first stage of puberty with anthropometric pattern (OR = 3.59, CI 1.58 to 8.17%) and lipid profile (OR = 0.33, CI 0.15 to 0.75%). Conclusions: The low HDL-C was the most prevalent dyslipidemia independent of sex and nutritional status of adolescents. Hypercholesterolemia was influenced by family history of CVD and sexual maturation, in turn, hypertriglyceridemia was closely associated with anthropometric indicators. The variance between the diets was greater for all nutrients. This fact reflected in a variance ratio less than 1 and consequently in a lower number of days requerid to estimate the usual diet of adolescents considering gender. The two dietary patterns were extracted and the pattern considered unhealthy lifestyle as healthy. The associations were found between the patterns of CVD risk with age and family history of CVD in the studied adolescents

Irregularidade do ciclo menstrual no Menacme como marcador para fatores de risco cardiovasculares na pós-menopausa

A associação entre fatores de risco cardiovascular (FRCV) na pósmenopausa e o antecedente de irregularidade menstrual no menacme foi avaliado em estudo caso-controle envolvendo 414 mulheres na pósmenopausa com idade de 60,4 ± 5,5 anos e IMC de 25,3 ± 4,7 kg/m2. As variáveis consideradas foram: caracterização do ciclo menstrual entre 20 e 35 anos (independente) e relato atual sobre ocorrência de hipertensão arterial, dislipidemia, diabetes mellitus e doença arterial coronariana (dependentes). Utilizou-se o teste qui-quadrado e modelos de regressão logística, ajustados para outras variáveis implicadas no risco para doenças CV, com nível de significância 5%. Observou-se que mulheres que relataram irregularidade menstrual prévia estiveram associadas com risco aumentado para ocorrência de algum FRCV [odds ratio ajustado (OR)= 2,14; IC-95%= 1,02–4,48], quando comparadas àquelas com ciclos regulares. Análise estratificada demonstrou as seguintes associações significativas com o antecedente de irregularidade menstrual: hipertensão arterial (OR= 2,4; 95% IC= 1,39–5,41), hipercolesterolemia (OR= 2,32; 95% IC= 1,17–4,59), hipertrigliceridemia (OR= 2,09; 95% IC= 1,10–4,33) e angioplastia coronariana (OR= 6,82; 95% IC= 1,44–32,18). Os dados sugerem que o antecedente de irregularidade menstrual, indicativo da ocorrência da síndrome dos ovários policísticos na idade reprodutiva, pode estar relacionado com aumento do risco para doenças CV na pós-menopausa __________________________________________________ABSTRACT Menstrual Cycle Irregularity as a Marker of Cardiovascular Risk Factors at Postmenopausal Years.To evaluate the association between cardiovascular risk factors (CVRF)during postmenopausal years and previous menstrual irregularity during reproductive years, we performed a case-control study in 414 postmenopausal women (mean age 60.4 ± 5.5 years; BMI 25.3 ± 4.7 kg/m2). The variables assessed were: menstrual cycle characteristics at age 20–35y (independent) and records of arterial hypertension, dyslipidemia, diabetes mellitus, and coronary heart disease (dependent). Statistical analysis used the chi-square test and logistic regression, adjusting for potential confounders for cardiovascular risk, with significance set at 5%. Women reporting previous menstrual irregularity were associated with increased risk for some CVRF [adjusted odds ratio (OR) 2.14; CI-95%= 1.02–4.48], when compared with those reporting regular menstrual cycles. Stratified analysis demonstrated significant associations of previous menstrual irregularity with: arterial hypertension [OR= 2.74; CI-95%= 1.39–5.41), hypercholesterolemia (OR= 2.32; CI-95%= 1.17–4.59), hypertriglyceridemia (OR= 2.09; CI-95%=1.10–4.33), and coronary angioplasty (OR= 6.82; CI-95%= 1.44–32.18). These data suggest that a prior history of menstrual irregularity, as indicative of polycystic ovary syndrome, may be related to increased risk for CVD during postmenopausal years