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  • Original Article

    Quality of life of women with low bone mass in postmenopause

    Rev Bras Ginecol Obstet. 2011;33(3):133-138

    Summary

    Original Article

    Quality of life of women with low bone mass in postmenopause

    Rev Bras Ginecol Obstet. 2011;33(3):133-138

    DOI 10.1590/S0100-72032011000300006

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    PURPOSE: to evaluate the quality of life of patients with osteoporosis and osteopenia followed-up at outpatient clinics specialized in osteoporosis and climacterium and to compare it to that of patients with normal bone mineral density (BMD). METHODS: cross-sectional case series, observational study, which intended to analyze the quality of life of women with osteopenia and osteoporosis by the Medical Outcomes Study 36 Short-Form Health Survey (SF-36) questionnaire. We evaluated 124 postmenopausal women divided into three groups: 55 patients with a densitometric diagnosis of osteoporosis, 35 with osteopenia and 34 who presented a normal BMD. The three groups were compared in terms of demographic data, clinical and life style characteristics and the different domains of SF-36. RESULTS: patients from the osteopenia and normal BMD groups presented lower age (56.7±7.1 and 52.9±5.4 years), greater body mass index (BMI) (28.6±3.7 and 30.9±5.1 kg/m²) and shorter time since menopause (8.4±5.9 and 5.8±4.5 years) than those from the osteoporosis group (61.8±10.1 years, BMI of 25.7±5.3 kg/m², 15.5±7.5 years, respectively; p<0.05). According to SF-36, there was no significant difference between groups concerning the domains, except for the vitality domain, which was found to be superior in the osteoporosis group. Regarding the personal impression about their health, a greater percentage of the patients who considered it to be good was from the osteoporosis group and, of the patients who considered it bad, a smaller percentage belonged to the osteopenia group. CONCLUSION: the quality of life was similar in women with osteoporosis and osteopenia when compared to women with normal BMD, except for the vitality domain, which, paradoxically, was superior in patients with osteoporosis.

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  • Original Article

    Physical Activity Level of Post-menopausal Women with Low Bone Mineral Density

    Rev Bras Ginecol Obstet. 2016;38(5):225-230

    Summary

    Original Article

    Physical Activity Level of Post-menopausal Women with Low Bone Mineral Density

    Rev Bras Ginecol Obstet. 2016;38(5):225-230

    DOI 10.1055/s-0036-1583757

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    Abstract

    Introduction

    Proper physical activity is related to the prevention and the treatment of osteoporosis.

    Purpose

    To assess the level of physical activity (PA) in post-menopausal women with low bone mineral density ( BMD ).

    Methods

    This cross-sectional clinical study included 123 post-menopausal women. The inclusion criteria were: age of 45 years with last menses at least 12 months prior to the initiation of the study, and bone density scan (BDS) values measured over the preceding 12 months. Women with severe osteoarthritis were excluded. Women were allocated into three groups, according to BMD measured by BDS [osteoporosis (OP; 54 women), osteopenia (35 women), and normal bone density (NBD; 35 women)], and compared for general, clinical, and anthropometric data, and for PA level. The latter was assessed using the International Physical Activity Questionnaire (IPAQ), in metabolic equivalent of task (MET) units. Participants were classified as sedentary, active or very active. Quantitative variables were compared using ANOVA followed by Tukey's test. Associations between qualitative variables were tested by Chi-square (χ2) or Fisher's exact test. In order to check for differences among groups and IPAQ domains, a generalized linear model with Gamma distribution was adjusted for values in METs.

    Results

    The OP group differed from the NBD group regarding age (61.8 10.1 and 52.9 5.4 years), percentage of participants with self-declared white ethnicity (43.9 and 28.0%), body mass index (BMI - 25.7 5.4 and 30.9 5.1 kg/m2), and time since menopause (15.5 7.5 and 5.8 4.5 years). Smoking rates were higher in the OP (55.6%) and NBD groups (33.3%) than in the osteopenia group (11.1%). Within the OP group, the rate of subjects with sedentary lifestyles was higher (42.6%), and time spent sitting was greater (344.3 204.8 METs) than in the groups with osteopenia (20.0 % and 300.9 230.6 METs) and NBD (17.7% and 303.2 187.9 METs).

    Conclusions

    The rate of sedentary lifestyles was higher in post-menopausal women with OP than in those with either osteopenia or NBD. In order to change this physical inactivity profile, strategies should be created to address this group of patients.

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  • Original Article

    Clinical manifestations, biochemical, ultrasonographic and metabolic of polycystic ovary syndrome in adolescents

    Rev Bras Ginecol Obstet. 2013;35(6):249-254

    Summary

    Original Article

    Clinical manifestations, biochemical, ultrasonographic and metabolic of polycystic ovary syndrome in adolescents

    Rev Bras Ginecol Obstet. 2013;35(6):249-254

    DOI 10.1590/S0100-72032013000600003

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    PURPOSE: To evaluate the clinical, ultrasonographic, biochemical and metabolic alterations of adolescents with polycystic ovary syndrome (PCOS). METHODS: Retrospective observational study conducted on 44 adolescents aged 12 to 19 years, diagnosed with PCOS according to the Rotterdam Consensus. Metabolic changes were assessed according to the recommendations of the International Diabetes Federation, considering: waist circumference (WC) >90th percentile (10-15 years of age) or >80 cm (age >16 years), fasting glucose >100 mg/dL, triglycerides >150 mg/dL, HDL <40 mg/dL, and blood pressure >Hg 130/85 mm. RESULTS: Mean age was 16.7±2.2 years and age at menarche was 11.8±1.4 years. The menstrual irregularity most frequently observed was amenorrhea (72.7%) followed by oligomenorrhea (27.3%); hirsutism was observed in 86.4% and acne in 56.8%. Polycystic ovaries were observed by ultrasound only in 27.3%. Mean BMI was 30.3±6.6 kg/m². According to BMI, 52.3% of adolescents were obese, 13.6% were overweight and 6.8% had a healthy weight. Increased waist circumference (63.6%, 28/44) and the reduction of HDL-C (34.1%, 15/44) were the metabolic changes most frequently observed. Increased triglycerides were observed in 27.3% (12/44) and increased blood pressure and impaired fasting glucose were found in 9.1% (4/44) and 4.5% (2/44) of cases, respectively. Acanthosis nigricans was observed in 52.3% and insulin resistance in 62.8% of the adolescents with PCOS. Metabolic syndrome was identified in six children (13.6%), all of them obese or overweight. CONCLUSION: In the adolescents with PCOS studied here, menstrual irregularity and hirsutism were the most common clinical manifestations, while the sonographic findings consistent with polycystic ovaries were less prevalent. Obesity associated with insulin resistance predisposes these adolescents to a higher frequency of metabolic disorders.

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  • Original Article

    Impact of Obesity and Hyperglycemia on Pregnancy-specific Urinary Incontinence

    Rev Bras Ginecol Obstet. 2023;45(6):303-311

    Summary

    Original Article

    Impact of Obesity and Hyperglycemia on Pregnancy-specific Urinary Incontinence

    Rev Bras Ginecol Obstet. 2023;45(6):303-311

    DOI 10.1055/s-0043-1770087

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    Abstract

    Objective

    The lack of data on the impact of hyperglycemia and obesity on the prevalence of pregnancy-specific urinary incontinence (PSUI) led us to conduct a cross-sectional study on the prevalence and characteristics of PSUI using validated questionnaires and clinical data.

    Methods

    This cross-sectional study included 539 women with a gestational age of 34 weeks who visited a tertiary university hospital between 2015 and 2018. The main outcome measures were the prevalence of PSUI, the International Consultation on Incontinence Questionnaire Short Form (ICIQ-SF), and the Incontinence Severity Index (ISI) questionnaires. The women were classified into four groups: normoglycemic lean, normoglycemic obese, hyperglycemic lean, and hyperglycemic obese. The differences between groups were tested using descriptive statistics. Associations were estimated using logistic regression analysis and presented as unadjusted and adjusted odds ratios.

    Results

    Prevalence rates of PSUI were no different between groups. However, significant difference in hyperglycemic groups worse scores for severe and very severe PSUI. When adjusted data for confound factors was compared with normoglycemic lean group, the hyperglycemic obese group had significantly higher odds for severe and very severe forms of UI using ICIQ-SF (aOR 3.157; 95% CI 1.308 to 7.263) and ISI (aOR 20.324; 95% CI 2.265 to 182.329) questionnaires and highest perceived impact of PSUI (aOR 4.449; 95% CI 1.591 to 12.442).

    Conclusion

    Our data indicate that obesity and hyperglycemia during pregnancy significantly increase the odds of severe forms and perceived impact of PSUI. Therefore, further effective preventive and curative treatments are greatly needed.

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  • Original Article

    Contribution of hyperandrogenism to the development of metabolic syndrome in obese women with polycystic ovary syndrome

    Rev Bras Ginecol Obstet. 2013;35(12):562-568

    Summary

    Original Article

    Contribution of hyperandrogenism to the development of metabolic syndrome in obese women with polycystic ovary syndrome

    Rev Bras Ginecol Obstet. 2013;35(12):562-568

    DOI 10.1590/S0100-72032013001200006

    Views1

    PURPOSE: To assess the contribution of hyperandrogenism to the development of metabolic syndrome (MetS) in obese women with polycystic ovary syndrome (PCOS). METHODS: Retrospective cross-sectional study conducted on 60 obese women with classic PCOS phenotype - Rotterdam Consensus - and 70 non-PCOS obese women. MetS was diagnosed by the NCEP-ATP III criteria and obesity was defined by body mass index. The Ferriman-Gallwey score (mFG) was used to evaluate hirsutism. The following measurements were performed: total testosterone, dehydroepiandrosterone sulfate (DHEA-S), glucose and insulin, total cholesterol, HDL, and triglycerides. Insulin resistance was measured using the HOMA-IR and insulin sensitivity index of Matsuda and De Fronzo (ISI). Statistical analysis was performed using the Student's t-test, χ² test and multivariate logistic regression analysis (p<0.05). RESULTS: Obese women with PCOS had significantly higher mFG (15.4±6.1), waist circunference (105.6±11.4 cm), DHEA-S (200.8±109.2 µg/dL), testosterone (135.8±71.4 ng/dL), and HOMA-IR (8.4±8.5) values and lower ISI values (2.0±1.8) than non-obese PCOS women (3.2±2.1; 101.4±9.2 cm; 155.0±92.7 µg/dL; 50.0±18.2 ng/dL; 5.1±4.7 and 3.3±2.7, respectively) (p<0.05). The frequency of MetS was higher in PCOS obese (75%) than non-PCOS obese (52.8%) women (p=0.015). Multivariate analysis did not reveal the contribution of the variables IFG, testosterone, and DHEAS to the development of MetS (p>0.05). CONCLUSION: Obese women with PCOS have a higher frequency of metabolic syndrome than non-PCOS obese women, and hyperandrogenism does not contribute to the development of metabolic syndrome in this group of women.

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