Obesity Archives - Revista Brasileira de Ginecologia e Obstetrícia
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(11):509-513
DOI 10.1590/S0100-720320140005024
To evaluate the influence of maternal obesity on pregnancy, childbirth, and neonatal outcomes.
A cross-sectional study with 298 postpartum women. Information was obtained through interviews and access to patients' medical records. The patients were divided into three groups according to their pre-gestational body mass index: normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥30.0 kg/m2). Data are reported as adjusted odds ratios with 95% confidence interval (95%CI) following multinomial logistic regression analysis to account for confounding variables.
Compared to pregnant women with normal body mass index, overweight women had greater chances of having cesarean delivery, odds ratio (OR) of 2.2 and 95%CI 1.3–3.9, and obese women even more (OR=4.2; 95%CI 2.1–8.1). The chances of gestational diabetes increased in the Overweight (OR=2.5; 95%CI 1.1–5.6) and Obese groups (OR=11.1; 95%CI 5.0–24.6). The occurrence of hypertensive syndrome was also higher in overweight (OR=3.2; 95%CI 1.2–8.1) and obese pregnant women (OR=7.5; 95%CI 2.9–19.1). Major postpartum hemorrhage only showed greater values in the obese women group (OR=4.1; 95%CI 1.1–15.8). Regarding the newborns, the probability of a low Apgar score at first minute was higher in the Obese Group (OR=5.5; 95%CI 1.2–23.7) and chances of macrosomia were higher in the Overweight Group (OR=2.9; 95%CI 1.3–6.3). Data regarding neonatal hypoglycemia were not conclusive.
Excessive weight (overweight and obesity) during pregnancy increases the chance of maternal complications (gestational diabetes, hypertensive syndrome, and major postpartum hemorrhage) and neonatal outcomes (cesarean delivery, macrosomia, and low Apgar score).
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(11):509-513
DOI 10.1590/S0100-720320140005024
To evaluate the influence of maternal obesity on pregnancy, childbirth, and neonatal outcomes.
A cross-sectional study with 298 postpartum women. Information was obtained through interviews and access to patients' medical records. The patients were divided into three groups according to their pre-gestational body mass index: normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥30.0 kg/m2). Data are reported as adjusted odds ratios with 95% confidence interval (95%CI) following multinomial logistic regression analysis to account for confounding variables.
Compared to pregnant women with normal body mass index, overweight women had greater chances of having cesarean delivery, odds ratio (OR) of 2.2 and 95%CI 1.3–3.9, and obese women even more (OR=4.2; 95%CI 2.1–8.1). The chances of gestational diabetes increased in the Overweight (OR=2.5; 95%CI 1.1–5.6) and Obese groups (OR=11.1; 95%CI 5.0–24.6). The occurrence of hypertensive syndrome was also higher in overweight (OR=3.2; 95%CI 1.2–8.1) and obese pregnant women (OR=7.5; 95%CI 2.9–19.1). Major postpartum hemorrhage only showed greater values in the obese women group (OR=4.1; 95%CI 1.1–15.8). Regarding the newborns, the probability of a low Apgar score at first minute was higher in the Obese Group (OR=5.5; 95%CI 1.2–23.7) and chances of macrosomia were higher in the Overweight Group (OR=2.9; 95%CI 1.3–6.3). Data regarding neonatal hypoglycemia were not conclusive.
Excessive weight (overweight and obesity) during pregnancy increases the chance of maternal complications (gestational diabetes, hypertensive syndrome, and major postpartum hemorrhage) and neonatal outcomes (cesarean delivery, macrosomia, and low Apgar score).
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(10):449-455
DOI 10.1590/SO100-720320140004946
To assess cardiometabolic risk factors during normal pregnancy and the influence of maternal obesity on them.
This study included 25 healthy pregnant women with a single pregnancy and a gestational age of less than twenty weeks. Longitudinal analysis of blood pressure, body weight, body mass index (BMI), serum concentrations of leptin, adiponectin, cortisol, total cholesterol and fractions, triglycerides, uric acid, fasting glucose, oral glucose tolerance test, HOMA-IR and insulin/glucose ratio was performed each trimester during pregnancy. In order to evaluate the impact of obesity, pregnant women were divided into two groups based on BMI for the first quarter of pregnancy: Gpn for pregnant women with BMI<25 kg/m2 and Gso for BMI≥25 kg/m2. One-Way ANOVA for repeated measurements or Friedman test and Student-t or Mann-Whitney tests for statistical comparisons and Pearson correlations test were used for statistical analysis.
The mean values for the first quarter of pregnancy for the following parameters were: age: 22 years; weight: 66.3 kg and BMI 26.4 kg/m2, with 20.2 and 30.7 kg/m2 for the Gpn and Gso groups, respectively. Mean weight gain during pregnancy was ±12.7 kg with 10.3 kg for the Gso group and 15.2 kg for the Gpn group. Regarding plasma determinations, cortisol, uric acid and lipid profile increased during all trimesters of pregnancy, except for HDL-cholesterol, which did not change. Blood pressure, insulin and HOMA-IR only increased in the third quarter of pregnancy. The Gso group tended to gain more weight and to show higher concentrations of leptin, total cholesterol, LDL-cholesterol, VLDL-cholesterol, TG, glucose, insulin, HOMA-IR, besides lower HDL-cholesterol and greater diastolic blood pressure in the 3rdquarter of pregnancy. Three pregnant women developed gestational hypertension, presented prepregnancy obesity, excessive weight gain, hyperleptinemia and an insulin/glucose ratio greater than two. Weight and BMI were positively correlated with total cholesterol and its LDL fraction, TG, uric acid, fasting blood glucose, insulin and HOMA-IR; and were negatively correlated with adiponectin and HDL-cholesterol. Leptin level was positively correlated with blood pressure.
The metabolic changes in pregnancy are more significant in obese women, suggesting, as expected, an increased risk of cardiometabolic complications. During their first visit for prenatal care, obese women should be informed about these risks, have their BMI and insulin/glucose ratio calculated along with their lipid profile to identify pregnant women at higher risk for cardiovascular diseases.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(10):449-455
DOI 10.1590/SO100-720320140004946
To assess cardiometabolic risk factors during normal pregnancy and the influence of maternal obesity on them.
This study included 25 healthy pregnant women with a single pregnancy and a gestational age of less than twenty weeks. Longitudinal analysis of blood pressure, body weight, body mass index (BMI), serum concentrations of leptin, adiponectin, cortisol, total cholesterol and fractions, triglycerides, uric acid, fasting glucose, oral glucose tolerance test, HOMA-IR and insulin/glucose ratio was performed each trimester during pregnancy. In order to evaluate the impact of obesity, pregnant women were divided into two groups based on BMI for the first quarter of pregnancy: Gpn for pregnant women with BMI<25 kg/m2 and Gso for BMI≥25 kg/m2. One-Way ANOVA for repeated measurements or Friedman test and Student-t or Mann-Whitney tests for statistical comparisons and Pearson correlations test were used for statistical analysis.
The mean values for the first quarter of pregnancy for the following parameters were: age: 22 years; weight: 66.3 kg and BMI 26.4 kg/m2, with 20.2 and 30.7 kg/m2 for the Gpn and Gso groups, respectively. Mean weight gain during pregnancy was ±12.7 kg with 10.3 kg for the Gso group and 15.2 kg for the Gpn group. Regarding plasma determinations, cortisol, uric acid and lipid profile increased during all trimesters of pregnancy, except for HDL-cholesterol, which did not change. Blood pressure, insulin and HOMA-IR only increased in the third quarter of pregnancy. The Gso group tended to gain more weight and to show higher concentrations of leptin, total cholesterol, LDL-cholesterol, VLDL-cholesterol, TG, glucose, insulin, HOMA-IR, besides lower HDL-cholesterol and greater diastolic blood pressure in the 3rdquarter of pregnancy. Three pregnant women developed gestational hypertension, presented prepregnancy obesity, excessive weight gain, hyperleptinemia and an insulin/glucose ratio greater than two. Weight and BMI were positively correlated with total cholesterol and its LDL fraction, TG, uric acid, fasting blood glucose, insulin and HOMA-IR; and were negatively correlated with adiponectin and HDL-cholesterol. Leptin level was positively correlated with blood pressure.
The metabolic changes in pregnancy are more significant in obese women, suggesting, as expected, an increased risk of cardiometabolic complications. During their first visit for prenatal care, obese women should be informed about these risks, have their BMI and insulin/glucose ratio calculated along with their lipid profile to identify pregnant women at higher risk for cardiovascular diseases.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(10):467-472
DOI 10.1590/SO100-720320140005094
To evaluate factors associated with hypertension in Brazilian women of 50 years of age or more.
A cross-sectional population based study using self-reports. A total of 622 women were included. The association between sociodemographic, clinical and behavioral factors and the woman's age at the onset of hypertension was evaluated. Data were analyzed according to cumulative continuation rates without hypertension, using the life-table method and considering annual intervals. Next, a Cox multiple regression analysis model was adjusted to analyze the occurrence rates of hypertension according to various predictor variables. Significance level was pre-established at 5% (95% confidence level) and the sampling plan (primary sampling unit) was taken into consideration.
Median age at onset of hypertension was 64.3 years. Cumulative continuation rate without hypertension at 90 years was 20%. Higher body mass index (BMI) at 20–30 years of age was associated with a higher cumulative occurrence rate of hypertension over time (coefficient=0.078; p<0.001). Being white was associated with a lower cumulative occurrence rate of hypertension over time (coefficient= -0.439; p=0.003), while smoking >15 cigarettes/day was associated with a higher rate over time (coefficient=0.485; p=0.004).
The results of the present study highlight the importance of weight control in young adulthood and of avoiding smoking in preventing hypertension in women aged ≥50 years.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(10):467-472
DOI 10.1590/SO100-720320140005094
To evaluate factors associated with hypertension in Brazilian women of 50 years of age or more.
A cross-sectional population based study using self-reports. A total of 622 women were included. The association between sociodemographic, clinical and behavioral factors and the woman's age at the onset of hypertension was evaluated. Data were analyzed according to cumulative continuation rates without hypertension, using the life-table method and considering annual intervals. Next, a Cox multiple regression analysis model was adjusted to analyze the occurrence rates of hypertension according to various predictor variables. Significance level was pre-established at 5% (95% confidence level) and the sampling plan (primary sampling unit) was taken into consideration.
Median age at onset of hypertension was 64.3 years. Cumulative continuation rate without hypertension at 90 years was 20%. Higher body mass index (BMI) at 20–30 years of age was associated with a higher cumulative occurrence rate of hypertension over time (coefficient=0.078; p<0.001). Being white was associated with a lower cumulative occurrence rate of hypertension over time (coefficient= -0.439; p=0.003), while smoking >15 cigarettes/day was associated with a higher rate over time (coefficient=0.485; p=0.004).
The results of the present study highlight the importance of weight control in young adulthood and of avoiding smoking in preventing hypertension in women aged ≥50 years.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(9):410-415
DOI 10.1590/SO100-720320140005078
To establish the prevalence of acanthosis nigricans (AN) within the context of polycystic ovary syndrome (PCOS) and its associations with obesity, insulin resistance, insulinemia, and metabolic syndrome (MS).
A cross-sectional prospective study was conducted on 100 patients with PCOS diagnosed according to the Rotterdam Consensus (2003). The skin test included, in addition to the detection of the presence of AN, the presence of hirsutism (score ≥8) and acne. In addition to clinical and biochemical data, we investigated cardiovascular risk factors present in MS such as abdominal circumference, obesity, hypertension and HDL and triglyceride levels. Insulin resistance was determined by the HOMA-IR test.
The prevalence of AN (53%) was significantly correlated with hirsutism (p=0.02), body mass index (p<0.01), basal insulinemia (p<0.01), (HOMA-IR) (p<0.01), and MS (p<0.01). The prevalence of MS reached 36% and was significantly associated only with AN (p<0.01). Although diabetes mellitus was absent, there was a significant association of altered HOMA-IR (p<0.01) with MS (p<5%) and AN (p<0.01).
AN is part of the severe phenotypic profile of PCOS as an additional predictable sign of the risks of cardiovascular disease.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(9):410-415
DOI 10.1590/SO100-720320140005078
To establish the prevalence of acanthosis nigricans (AN) within the context of polycystic ovary syndrome (PCOS) and its associations with obesity, insulin resistance, insulinemia, and metabolic syndrome (MS).
A cross-sectional prospective study was conducted on 100 patients with PCOS diagnosed according to the Rotterdam Consensus (2003). The skin test included, in addition to the detection of the presence of AN, the presence of hirsutism (score ≥8) and acne. In addition to clinical and biochemical data, we investigated cardiovascular risk factors present in MS such as abdominal circumference, obesity, hypertension and HDL and triglyceride levels. Insulin resistance was determined by the HOMA-IR test.
The prevalence of AN (53%) was significantly correlated with hirsutism (p=0.02), body mass index (p<0.01), basal insulinemia (p<0.01), (HOMA-IR) (p<0.01), and MS (p<0.01). The prevalence of MS reached 36% and was significantly associated only with AN (p<0.01). Although diabetes mellitus was absent, there was a significant association of altered HOMA-IR (p<0.01) with MS (p<5%) and AN (p<0.01).
AN is part of the severe phenotypic profile of PCOS as an additional predictable sign of the risks of cardiovascular disease.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(5):222-227
DOI 10.1590/S0100-7203201400050007
To identify risk factors for weight retention in women after childbirth.
This was a prospective observational study that followed for six months adult women who delivered at a tertiary center. Were applied a structured questionnaire before hospital discharge and at six weeks and six months after childbirth, through home visits. The outcome was weight retention after childbirth (if risk >7.5 kg). The variables analyzed were: age, skin color, working during pregnancy, income, education, marital status, age at menarche, maternal age at first birth, parity, mode of delivery, birth interval, pre-pregnancy weight, gestational weight gain, percent body fat, and nutritional status. Data were first analyzed by bivariate analysis between prevalence of weight retention at six months and several covariates (p<0.2). We then calculated the Odds Ratio (OR) and their respective gross confidence intervals of 95% (95%CI) and finally performed multivariate logistic regression to control for confounding factors and to estimate the OR and 95%CI.
The frequency of weight retention >7.5 kg by 6 months after delivery was 15%. In bivariate analysis, weight retention was associated with the following variables: age at menarche <12 years (OR=3.7; 95%CI1.1-13.2), gestational weight gain ≥16 kg (OR=5.8; 95%CI 1.8-18.6), percent body fat at baseline >30% (OR=5.0; 95%CI 1.1-23.6), and nutritional status by 6 weeks postpartum >25 kg/m2 (OR=7.7; 95%CI1.6-36.1). In multivariate analysis, only excessive gestational weight gain (OR=74.1; 95%CI 9.0-609.6) remained as a risk factor.
Excessive weight gain during pregnancy should receive special attention in prenatal care in view of its association with weight retention and excess weight in women after childbirth.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(5):222-227
DOI 10.1590/S0100-7203201400050007
To identify risk factors for weight retention in women after childbirth.
This was a prospective observational study that followed for six months adult women who delivered at a tertiary center. Were applied a structured questionnaire before hospital discharge and at six weeks and six months after childbirth, through home visits. The outcome was weight retention after childbirth (if risk >7.5 kg). The variables analyzed were: age, skin color, working during pregnancy, income, education, marital status, age at menarche, maternal age at first birth, parity, mode of delivery, birth interval, pre-pregnancy weight, gestational weight gain, percent body fat, and nutritional status. Data were first analyzed by bivariate analysis between prevalence of weight retention at six months and several covariates (p<0.2). We then calculated the Odds Ratio (OR) and their respective gross confidence intervals of 95% (95%CI) and finally performed multivariate logistic regression to control for confounding factors and to estimate the OR and 95%CI.
The frequency of weight retention >7.5 kg by 6 months after delivery was 15%. In bivariate analysis, weight retention was associated with the following variables: age at menarche <12 years (OR=3.7; 95%CI1.1-13.2), gestational weight gain ≥16 kg (OR=5.8; 95%CI 1.8-18.6), percent body fat at baseline >30% (OR=5.0; 95%CI 1.1-23.6), and nutritional status by 6 weeks postpartum >25 kg/m2 (OR=7.7; 95%CI1.6-36.1). In multivariate analysis, only excessive gestational weight gain (OR=74.1; 95%CI 9.0-609.6) remained as a risk factor.
Excessive weight gain during pregnancy should receive special attention in prenatal care in view of its association with weight retention and excess weight in women after childbirth.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2013;35(12):562-568
DOI 10.1590/S0100-72032013001200006
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.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2013;35(12):562-568
DOI 10.1590/S0100-72032013001200006
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.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2013;35(12):536-540
DOI 10.1590/S0100-72032013001200002
PURPOSE: To evaluate weight retention 12 months postpartum and factors associated among women who had received prenatal care at Health Care Centers in Porto Alegre, southern Brazil. METHODS: Pregnant women in the last trimester were identified at 20 Health Care Centers. Socioeconomic, demographic and anthropometrics data were obtained. Six and 12 months after delivery, the women received home visits for anthropometric measures. The gestational weight gain was defined by pre-pregnancy Body Mass Index (BMI). Weight retention was defined as the difference between pre-gestational weight and weight at postpartum. Data were analyzed using McNemar's Test, ANOVA with Bonferroni correction and multiple linear regression. RESULTS: Of the 715 pregnant women recruited, 545 were assessed 12 months after delivery. Women were more likely to be overweight 12 months postpartum compared to the pre-pregnancy period (52.9 versus 36.7%) and weight retention during the 12 months postpartum was more than 10 kg in 30.7% of the women. Weight retention in the postpartum period was higher among women who were overweight (9.9±7.7 kg) compared to those who were of normal weight during the pre-pregnancy period (7.6±6.2 kg). Pre-pregnancy BMI, gestational weight gain, and maternal age were associated with gestational weight retention 12 months postpartum (p<0.001). CONCLUSION: Adequate prenatal care is necessary to minimize the adverse effects of excessive weight gain during pregnancy on women's health.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2013;35(12):536-540
DOI 10.1590/S0100-72032013001200002
PURPOSE: To evaluate weight retention 12 months postpartum and factors associated among women who had received prenatal care at Health Care Centers in Porto Alegre, southern Brazil. METHODS: Pregnant women in the last trimester were identified at 20 Health Care Centers. Socioeconomic, demographic and anthropometrics data were obtained. Six and 12 months after delivery, the women received home visits for anthropometric measures. The gestational weight gain was defined by pre-pregnancy Body Mass Index (BMI). Weight retention was defined as the difference between pre-gestational weight and weight at postpartum. Data were analyzed using McNemar's Test, ANOVA with Bonferroni correction and multiple linear regression. RESULTS: Of the 715 pregnant women recruited, 545 were assessed 12 months after delivery. Women were more likely to be overweight 12 months postpartum compared to the pre-pregnancy period (52.9 versus 36.7%) and weight retention during the 12 months postpartum was more than 10 kg in 30.7% of the women. Weight retention in the postpartum period was higher among women who were overweight (9.9±7.7 kg) compared to those who were of normal weight during the pre-pregnancy period (7.6±6.2 kg). Pre-pregnancy BMI, gestational weight gain, and maternal age were associated with gestational weight retention 12 months postpartum (p<0.001). CONCLUSION: Adequate prenatal care is necessary to minimize the adverse effects of excessive weight gain during pregnancy on women's health.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(2):90-96
DOI 10.1590/S0100-72032014000200008
To evaluate the frequency of sleep disorders, such as obstructive sleep apnea,
restless leg syndrome and insomnia in overweight/obese postmenopausal women seen
in a climacteric sleep disorders clinic.
Thirty-four postmenopausal women were selected using the following inclusion
criteria: age between 50 and 70 years; at least 12 months of amenorrhea; body mass
index (BMI) greater than or equal to 25 kg/m2; and sleep-related
complaints with at least one previous polysomnography. Patients provided responses
to 6 questionnaires related to sleep characteristics and menopausal symptoms.
Weight and height were measured using standardized scales, and abdomen and hip
circumferences were also measured. The statistical analyses were performed using
the χ2 test for qualitative variables and using Student's t-test for
quantitative variables.
Patients' characteristics were as follows: mean age of 60.35 years; mean BMI of
31.62; an average of 11.61 postmenopausal years and an average Kupperman Index of
19. A total of 85.2% of the patients had a waist/hip ratio of less than 0.8. The
Epworth Scale score was greater than or equal to 9 in 50% of patients; 68% had
sleep disturbances according to the Pittsburgh Index, and 68% were classified as
high-risk for sleep apnea by the Berlin Questionnaire. On polysomnography, 70.58%
of the patients had a sleep efficiency lower than 85%; 79.41% had a sleep latency
of less than 30 min; 58.82% had a REM sleep latency of less than 90 min, and
44.11% had mild apnea. When the groups were compared, a linear association was
identified between BMI and the AHI average, and a relationship between high BMI
and use of drugs for thyroid treatment was found.
There was a high prevalence of sleep-disordered breathing, initial insomnia,
fragmented sleep, and thyroid disorders in the group with higher BMI.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(2):90-96
DOI 10.1590/S0100-72032014000200008
To evaluate the frequency of sleep disorders, such as obstructive sleep apnea,
restless leg syndrome and insomnia in overweight/obese postmenopausal women seen
in a climacteric sleep disorders clinic.
Thirty-four postmenopausal women were selected using the following inclusion
criteria: age between 50 and 70 years; at least 12 months of amenorrhea; body mass
index (BMI) greater than or equal to 25 kg/m2; and sleep-related
complaints with at least one previous polysomnography. Patients provided responses
to 6 questionnaires related to sleep characteristics and menopausal symptoms.
Weight and height were measured using standardized scales, and abdomen and hip
circumferences were also measured. The statistical analyses were performed using
the χ2 test for qualitative variables and using Student's t-test for
quantitative variables.
Patients' characteristics were as follows: mean age of 60.35 years; mean BMI of
31.62; an average of 11.61 postmenopausal years and an average Kupperman Index of
19. A total of 85.2% of the patients had a waist/hip ratio of less than 0.8. The
Epworth Scale score was greater than or equal to 9 in 50% of patients; 68% had
sleep disturbances according to the Pittsburgh Index, and 68% were classified as
high-risk for sleep apnea by the Berlin Questionnaire. On polysomnography, 70.58%
of the patients had a sleep efficiency lower than 85%; 79.41% had a sleep latency
of less than 30 min; 58.82% had a REM sleep latency of less than 90 min, and
44.11% had mild apnea. When the groups were compared, a linear association was
identified between BMI and the AHI average, and a relationship between high BMI
and use of drugs for thyroid treatment was found.
There was a high prevalence of sleep-disordered breathing, initial insomnia,
fragmented sleep, and thyroid disorders in the group with higher BMI.
