The prevalence of metabolic syndrome in Chinese postmenopausal women and the optimum body composition indices to predict it

Prevalence of metabolic syndrome and its components in Chinese women with premature ovarian insufficiency

OBJECTIVES

To assess the prevalence of metabolic syndrome (MetS) and its components in Chinese women with premature ovarian insufficiency (POI) and to explore the metabolic profile of Chinese women with POI.

METHODS

118 POI women aged 20-38 years and 151 age-and-BMI-matched control women were recruited. Measurements included body height, weight, waist circumference (WC), hip circumference (HC), blood pressure, follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), fasting plasma glucose (FPG) and fasting insulin (FINS). Prevalence and components of MetS and metabolic indices were compared between the two groups.

RESULTS

The prevalence of MetS in POI women and age-and-BMI-matched control women was 16.9% and 11.3%, respectively, which was not significantly different (p > .05). The prevalence of hypertriglyceridemia and high fasting glucose was significantly higher in POI than control (17.8% vs. 9.3%, p = .039; 16.9% vs. 6.6%, p = .008), without significant differences in the prevalence of other components of MetS (p > .05). The levels of TG, FINS, and HOMA-IR in POI were significantly higher than in control (p < .05) but without significant differences in WC, WHR, SBP, DBP, TC, HDL-C, LDL-C, and FPG (p > .05). HOMA-IR was positively correlated with WC, DBP, TG, and FPG and negatively correlated with HDL-C in both POI women and control (p < .05).

CONCLUSIONS

POI women presented with more unfavorable cardiovascular risk factors (higher prevalence of hypertriglyceridemia and high fasting glucose; higher TG, FINS, and HOMA-IR). So, women diagnosed with POI should always be covered with special care of metabolic profile.

Early prediction of body composition parameters on metabolically unhealthy in the Chinese population via advanced machine learning

Background

Metabolic syndrome (Mets) is considered a global epidemic of the 21st century, predisposing to cardiometabolic diseases. This study aims to describe and compare the body composition profiles between metabolic healthy (MH) and metabolic unhealthy (MU) phenotype in normal and obesity population in China, and to explore the predictive ability of body composition indices to distinguish MU by generating machine learning algorithms.

Methods

A cross-sectional study was conducted and the subjects who came to the hospital to receive a health examination were enrolled. Body composition was assessed using bioelectrical impedance analyser. A model generator with a gradient-boosting tree algorithm (LightGBM) combined with the SHapley Additive exPlanations method was adapted to train and interpret the model. Receiver-operating characteristic curves were used to analyze the predictive value.

Results

We found the significant difference in body composition parameters between the metabolic healthy normal weight (MHNW), metabolic healthy obesity (MHO), metabolic unhealthy normal weight (MUNW) and metabolic unhealthy obesity (MUO) individuals, especially among the MHNW, MUNW and MUO phenotype. MHNW phenotype had significantly lower whole fat mass (FM), trunk FM and trunk free fat mass (FFM), and had significantly lower visceral fat areas compared to MUNW and MUO phenotype, respectively. The bioimpedance phase angle, waist-hip ratio (WHR) and free fat mass index (FFMI) were found to be remarkably lower in MHNW than in MUNW and MUO groups, and lower in MHO than in MUO group. For predictive analysis, the LightGBM-based model identified 32 status-predicting features for MUNW with MHNW group as the reference, MUO with MHO as the reference and MUO with MHNW as the reference, achieved high discriminative power, with area under the curve (AUC) values of 0.842 [0.658, 1.000] for MUNW vs. MHNW, 0.746 [0.599, 0.893] for MUO vs. MHO and 0.968 [0.968, 1.000] for MUO and MHNW, respectively. A 2-variable model was developed for more practical clinical applications. WHR > 0.92 and FFMI > 18.5 kg/m2 predict the increased risk of MU.

Conclusion

Body composition measurement and validation of this model could be a valuable approach for the early management and prevention of MU, whether in obese or normal population.

Association between Menopause, Postmenopausal Hormone Therapy and Metabolic Syndrome

(1) Background: We aimed to explore the associations between menopause, postmenopausal hormone therapy, and metabolic syndrome in a large community-based group of Asian women. (2) Methods: This is a cross-sectional study in which we enrolled women aged 30 to 70 years with sufficient information about menopausal status from the Taiwan Biobank. The definition for metabolic syndrome used in this study aligns with the Bureau of Health Promotion's (Taiwan) proposed definition. (3) Results: A total of 17,460 women were recruited. The postmenopausal group had a higher metabolic syndrome prevalence (30% vs. 14%) and 1.17 times higher odds ratio (OR) than the premenopausal group (95% confidence interval [CI] = 1.02 to 1.33). Regarding the types of menopause, surgical menopause was associated with metabolic syndrome (OR = 1.40; 95% CI = 1.20 to 1.63); however, natural menopause was not associated with metabolic syndrome. Interestingly, postmenopausal hormone therapy was associated with a lower risk of metabolic syndrome in the women with natural menopause (OR = 0.79; 95% CI = 0.70 to 0.89), but not in those with surgical menopause. (4) Conclusions: Our results suggest that menopause is associated with an increased prevalence of metabolic syndrome, while postmenopausal hormone therapy is associated with a lower prevalence of metabolic syndrome in women with natural menopause.

The Relationship Between Menopause and Metabolic Syndrome: Experimental and Bioinformatics Analysis

Menopausal hormonal changes have been associated with the emergence of the metabolic syndrome (MetS) and its consequences such as type 2 diabetes (T2D) and cardiovascular diseases (CVD). The common gene signature and the associated signaling pathways of MetS, T2D, CVD and menopause status have not been widely studied. We analyzed a total of 314 women aged between 35 and 75 years. The sample was divided into two groups: Group I, including women in the premenopausal period and Group II, comprising women in the post-menopausal period. The presence of MetS and its components were evaluated, as well as occurrence of T2D and CVD in both groups. We also exploited the translational bioinformatics approach to choose the common gene signatures for MetS, T2D, CVD and the menopause status. The frequency of the MetS was significantly higher in postmenopausal women than in premenopausal ones (67.1 vs. 27.2%, p < 0.001). Gene mining analysis revealed that a total of 47 genes were commonly associated with MetS, T2D, CVD and the menopausal changes. The gene enrichment analysis showed that these genes were markedly enriched in biological processes, including positive regulation of binding, positive regulation of leukocyte cell-cell adhesion, regulation of lipid localization. Furthermore, P53 signaling pathway, prolactin signaling pathway, parathyroid hormone synthesis, secretion and action were the top enriched pathways. Additionally, network analysis revealed TGFB1, SPP1, MMP2, MMP9, CCL2, IGF1, EGFR, ICAM1, TNF and IL6 as important hub genes with significant interacting partners. These hub genes identified in our study may play key role in menopausal changes and influence the risks of MetS, T2D and CVD.

Ovariectomized rodents as a menopausal metabolic syndrome model. A minireview

Bilateral ovariectomy is the best characterized and the most reported animal model of human menopause. Ovariectomized rodents develop insulin resistance (IR) and visceral obesity, the main risk factors in the pathophysiology of metabolic syndrome (MS). These alterations are a consequence of hypoestrogenic status, which produces an augment of visceral fat, high testosterone levels (hyperandrogenism), as well as inflammation, oxidative stress, and metabolic complications, such as dyslipidemia, hepatic steatosis, and endothelial dysfunction, among others. Clinical trials have reported that menopause per se increases the severity and incidence of MS, and causes the highest mortality due to cardiovascular disease in women. Despite all the evidence, there are no reports that clarify the influence of estrogenic deficiency as a cause of MS. In this review, we provide evidence that ovariectomized rodents can be used as a menopausal metabolic syndrome model for evaluating and discovering new, safe, and effective therapeutic approaches in the treatment of cardiometabolic complications associated to MS during menopause.

A Prospective Study on the Incidence of Metabolic Syndrome in Premenopausal and Postmenopausal Women

Background:

Metabolic syndrome is defined as a state of metabolic dysregulation characterized by insulin resistance, a predisposition to Type 2 diabetes mellitus and atherosclerotic vascular disease. The changing hormonal milieu with altered estrogen and testosterone ratio is the cause of metabolic syndrome at menopausal transition.

Aims and Objectives:

This study was designed to determine the incidence of metabolic syndrome and its various components in premenopausal and postmenopausal women from Punjab.

Materials and Methods:

This study was conducted on 200 females in the age group of 45–60 years attending outpatient department over a period of 2 years in the Department of Obstetrics and Gynaecology, Bebe Nanki Mother and Child Care Centre, Government Medical College, Amritsar. A detailed history and physical examination were done and recorded on a pro forma. Biochemical assessment comprising fasting blood glucose, triglycerides, and cholesterol was done. Metabolic syndrome was assessed as per the modified NCEP ATP III criteria.

Results:

Twenty-nine percent women were found to have newly onset metabolic syndrome, the incidence in premenopausal group was 16%, and in postmenopausal group was 42%. Among the components, the incidence of hypertension (58%) was the highest followed by waist circumference (42%). Maximum correlation of metabolic syndrome was found with high-density lipoprotein (odds ratio - 7.250) followed by waist circumference (odds ratio - 7.111).

Conclusion:

The incidence of metabolic syndrome was found to be higher in postmenopausal women than in premenopausal women. Currently, the need of the hour is lifestyle modification to reduce the emergence of metabolic syndrome and cardiovascular diseases.

Acidic-Treated Acorn Pollen as Health Functional Food Materials for Improvement of Post-Menopausal Glucose Metabolism

Pollen has high physiological value because it contains protein, essential amino acids, and 16 vitamins. However, pollen is difficult to absorb because of its hard form. This study explores the use of the acid-treated acorn pollen (acorn pollen deposited in apple vinegar for 30 days). The health functions of acid-treated acorn pollen on post-menopausal metabolism was tested by analyzing in vitro and in vivo biomarkers for glucose metabolism, by using the acid-treated acorn pollen and its residues, respectively. In vitro experiments showed high activity after measuring the low potency of glucose-related enzymes. In vivo experiments showed reduced blood glucose and insulin levels after consuming pollen. Pollen also increased the concentration of glucokinase, a glucose-regulating enzyme in hepatic and nephritic tissue, and lowered the concentration of glucose-6-phosphatase. These results are encouraging in showing that acid pollen can be used as a functional health food for treatment of post-menopausal metabolism.

Duration of reproductive years and time since menopause were associated with metabolic syndrome in postmenopausal parous women of Chinese ancestry

OBJECTIVE

Although duration of reproductive years and time since menopause were previously implicated in the metabolic syndrome, the evidence is more limited. Few of the previous studies were able to take into account related reproductive variables simultaneously. The aim of the present study was to explore the influence of these two reproductive factors on the prevalence of metabolic syndrome in postmenopausal parous women from Southeast China.

METHODS

In all, 1,536 postmenopausal parous women were recruited. Self-reported information about reproductive status, including age at menarche, age at menopause, number of children, prepregnancy body weight, and oral contraceptive use, was collected, and duration of reproductive years and time since menopause were calculated. Clinical parameters related with metabolic syndrome were also measured.

RESULTS

Longer duration of reproductive years was significantly related with increased presence of the metabolic syndrome (odds ratio [OR] 1.570, 95% confidence interval [CI] 1.091, 2.259 for tertile 2 group; OR 1.850, 95% CI 1.163, 2.944 for tertile 3 group; P for trend = 0.010). Women with more than 20 years since menopause were more likely to experience metabolic syndrome (OR 2.422, 95% CI 1.109, 5.286, P = 0.026) and elevated blood pressure (OR 3.239, 95% CI 1.406, 7.458, P = 0.006) when compared with those with less than 10 years since menopause.

CONCLUSIONS

Longer duration of reproductive years and time since menopause were associated with higher prevalence of metabolic syndrome in postmenopausal parous women from Southeast China.

Association between non-HDL-C/HDL-C ratio and carotid atherosclerosis in postmenopausal middle-aged women

Background: A novel lipid relation, the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol (non-HDL-C/HDL-C) ratio gathers information on all atherogenic and antiatherogenic particles on a single date. The relationship between this lipid marker and the presence of carotid atherosclerotic plaque (CAP) in postmenopausal women is unknown. Methods: Postmenopausal women in primary prevention up to 70 years of age were recruited. Association between the non-HDL-C/HDL-C ratio and presence of CAP, assessed by ultrasonography, was analyzed. Receiver operating characteristic (ROC) curve analysis was performed. Results: A total of 440 females with a mean age of 58.1 ± 5.3 years were recruited. The mean non-HDL-C/HDL ratio was 3.1 ± 1.2 and 28.2% of woman had CAP. A positive relationship was seen between quintiles of the non-HDL-C/HDL-C ratio and prevalence of CAP (p < 0.001). Regardless of other risk factors, women with higher non-HDL-C/HDL-C ratios had a greater chance of having CAP (odds ratio 1.30, 95% confidence interval: 1.07-1.58, p = 0.009). In the ROC curve analysis, the area under the curve of the non-HDL-C/HDL ratio for detecting CAP was 0.703 (95% confidence interval: 0.640-0.765) and the optimal cut-off point was 3.0 (Youden index 0.395). Conclusion: The present study suggests that the non-HDL-C/HDL-C ratio might be a strong marker for predicting the risk of CAP in postmenopausal women.

Exploring the link between number of years since menopause and metabolic syndrome among women in rural China: a cross-sectional observational study

The aim of this article was to explore the link between postmenopausal status according to years since menopause (YSM) and the prevalence of metabolic syndrome (MetS). This survey was conducted from January 2012 to August 2013. A total of 6022 women (3511, 58.3% were post-menopause) from Rural Northeast China were randomly selected and examined. The prevalence of the MetS was significantly higher in postmenopausal women (Post-MW) than in premenopausal women (Pre-MW) (55.0% vs. 33.1%, p .001). The risk for MetS in Post-MW increased with the number of YSM, reaching the peak level in the 5- to 9-year group (OR, 1.55; 95% CI, 1.23-1.96), and then decreased. The 5- to 9-year group had the highest risk of high glucose (OR, 1.48; 95% CI, 1.20-1.83) and high triglycerides (adjusted OR, 1.92; 95% CI, 1.53-2.41) whereas the risk for abdominal obesity, high BP, and low HDL-C was not significantly associated with the number of YSM. These findings suggested that, in China, Post-MW with 5-9 YSMs had the highest risk of MetS. YSM can be a useful screening tool to identify women at high risk for MetS.

Association of Female Reproductive Factors with Hypertension, Diabetes and LQTc in Chinese Women

The association of female reproductive factors (FRFs) with cardiovascular risk factors among different population was variable and inconsistent. The objective of this study was to examine the association between FRFs and hypertension, type 2 diabetes mellitus (DM), and long heart-rate-corrected QT interval (LQTc) in Chinese post-menopausal women (Post-MW). A total of 8046 Post-MW from the China Chaoshan Biobank Cohort Study were included for analysis. Logistic regression and general linear regression models were used to estimate the association between FRFs and hypertension, DM, and LQTc. Compared with women with 0 or 1 live birth, increasing risk of hypertension (odds ratio [OR], 1.51; 95% confidence interval [CI], 1.16-1.96), DM (OR, 1.65; 95% CI, 1.22-2.22), and LQTc (OR, 1.45; 95% CI, 1.01-2.09) were observed in women who had five or more live births. Further analysis demonstrated that the association between parity and hypertension, DM, and LQTc was mediated by lifestyle and dyslipidemia. Women with more live births had increased body mass index and waist circumstance, and were inclined to consume more salty food, animal fat, and alcohol, but less meat, vegetable, fish, plant oil, and tea, compared with that had fewer live births (all P < 0.05).

Metabolic syndrome and its components in postmenopausal women living in southern Italy, Apulia region

OBJECTIVES

The goal of our study was to determine the prevalence of metabolic syndrome (MetS) and all its components, in a population of postmenopausal women aged over 45 years, consecutively accessed to our Heart Station, during 2014, for their first cardiac examination,furthermore to estimate their cardiovascular risk and the achievement of target blood values of main risk factors, according to current Guidelines.

METHODS

We screened 1257 postmenopausal women. MetS was assessed according to the National-Cholesterol-Education-Program-Adult-Treatment-Panel III definition. Cardiovascular risk was calculated by the Systematic Coronary Risk Evaluation (<65 years).

RESULTS

MetS was assessed on 834 women (66.4%). Prevalence of each component was: hypertension on 767 women (91.9%), central obesity 758 women (90.9%), low high-density lipoproteins cholesterol (HDLc) increased levels 612 women (73.3%), high triglyceride levels 428 women (51.3%), glucose levels higher than 110mg/dl or diabetes 404 women (48.5%). Cardiovascular risk was moderate until 65 years, but it increases after. Metabolic control in postmenopausal women was poor for glucose, only 82 women (9.8%) presented glucose levels lower than 110mg/dl, it was better for systolic blood pressure, that was normal in 564 women (67.6%) and worse for lipid levels.

CONCLUSION

The prevalence of metabolic syndrome in our population of postmenopausal women is high. Hypertension and central obesity are the more common components. The cardiovascular risk is moderate-high, the achievement of target values for glycemic and lipid levels is unsatisfactory, while systolic blood pressure is enough well controlled but however it is mandatory to improve this goal. An early MetS diagnosis and an early educational intervention are useful to decrease cardiovascular risk of postmenopausal women affected by metabolic syndrome.

Quality of Life in Postmenopausal Female Members and Non-members of the Elderly Support Association

Objectives

The purpose of this study was to evaluate the quality of life (QOL) in postmenopausal members and non-members of the elderly support association in Borujen city, Iran.

Methods

This study was a cross-sectional descriptive study being applied to the participants were postmenopausal women of over 55 years. Thus, 40 postmenopausal members of the elderly support association of Borujen city and 40 non-members were randomly selected. The 36 item short-form health survey (SF-36), with the 4 psychological, social, physical-movement, and environmental domains, was completed. Data were analyzed using SPSS software.

Results

The mean total score of QOL of member of the association was significantly greater than non-members. Student's t-test showed a significant relationship between QOL and membership of the association (P < 0.05). One-way analysis of variance (ANOVA) showed that the mean QOL of postmenopausal women, according to membership and marital status (P < 0.01), housing (P < 0.01), and underlying disease (P < 0.01), was statistically significant.

Conclusions

According to the results, supportive measures, such as increasing the participation of the elderly in public life through proper preparations to join them and membership in peer groups such as support associations and non-governmental organizations (NGOs) can be greatly effective in improving QOL. The results showed that the QOL of the participants was at a moderate level and membership in support associations for the elderly was effected on the QOL in postmenopausal women. Moreover, considering the importance of the elderly in the community.

Prevalence of metabolic syndrome in pre- and post-menopausal women: A prospective study from apex institute of North India

Background:

The metabolic syndrome (MS) (syndrome X, insulin resistance syndrome) is a constellation of metabolic abnormalities and a complex predisease state that predicts future development of type 2 diabetes mellitus and cardiovascular disease. Menopausal transition and postmenopausal state are considered as a vulnerable period for developing MS, and this increased risk has been attributed to decreasing estrogen levels with an increasing risk of insulin resistance following menopause.

Aims and Objectives:

This study aimed to determine the prevalence of MS and its components in pre- and post-menopausal women from North India.

Methodology:

This is a cross-sectional study of 350 women in the age group of 45–55 years attending gynecology clinic in a tertiary center of North India. Details of sociodemographic data, menopausal history, reproductive, and medical profile were obtained. Then, waist circumference, body mass index (BMI), and blood pressure were recorded. A venous blood sample was collected for fasting blood glucose, triglycerides, total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol. MS was defined according to the modified National Cholesterol Education Program Adult Treatment Panel III criteria.

Results:

The mean age was 49.09 ± 2.2 years in premenopausal and 49.54 ± 2.8 years in postmenopausal women. The prevalence of MS in the study group was 62.6%. Occurrence of MS was higher in older and obese women. Abnormal waist circumference was the most prevalent component (87%) of MS and in terms of odd ratio, correlation was highest for BMI followed by total cholesterol and waist-hip ratio.

Conclusion:

We should target obesity and deranged lipid profile by bringing out changes in lifestyle and dietary habits to decrease the higher prevalence of MS and the risk of cardiovascular diseases.

Metabolic disorder and obesity in 5027 Brazilian postmenopausal women

OBJECTIVES

To evaluate the frequency of obesity in postmenopausal women and assess the potential effects of increased body mass index (BMI) on lipoprotein profile and on risk factors for arterial hypertension and diabetes.

DESIGN

A cross-sectional study was conducted with 5027 postmenopausal Brazilian women. Analyses were performed of BMI and cardiovascular factors (systemic blood pressure [BP], total cholesterol, low-density lipoprotein, high-density lipoprotein [HDL-C], triglyceride, and fast glucose). The statistical analysis included the chi-square and Mann-Whitney tests. The significance level was set at 5%.

RESULTS

Obesity (BMI >30) in our study characterized approximately 30% of the 5027 postmenopausal women. The comparison of patients with normal BMI and those with high BMI showed that high BMI had a significant negative effect on BP, as evidenced by the increased frequency of hypertension in overweight and obese patients (>25) (p < 0.001), that it also negatively and significantly affected triglyceride (p < 0.001) and fast glucose levels (p < 0.001), and that it was linked significantly to low levels of HDL-C.

CONCLUSION

Our data showed the high frequency of obesity in our population and of the cardiovascular risks (glucose, systemic arterial hypertension, and low HDL-C) associated with high BMI.

Effects of endurance exercise training on risk components for metabolic syndrome, interleukin-6, and the exercise capacity of postmenopausal women

We conducted this study to investigate how an exercise program affects the risk components of metabolic syndrome (MS), serum interleukin (IL)-6 levels, and exercise capacity in postmenopausal women. A randomized clinical trial design was used. Women in an exercise group participated in a treadmill-exercise program for 12 weeks, whereas women in a control group maintained their customary lifestyle. Data on variables were collected at baseline and after 12 weeks of the study, which was completed by 46 women (mean age, 56.0 ± 7.0 y). Our results indicate endurance exercise exerted significant beneficial effects on waist circumference, serum high-density lipoprotein cholesterol (HDL-C) and IL-6 levels, and exercise capacity (all P < 0.05). The beneficial effects on IL-6 and exercise capacity were correlated with improvements in HDL-C levels (r = -0.33, P = 0.03 and r = 0.31, P = 0.04, respectively). Our results suggest that health-care providers can incorporate an exercise program in treatments to improve the health of postmenopausal women.

The prevalence of metabolic syndrome and its predominant components among pre-and postmenopausal Ghanaian women

BACKGROUND

Metabolic Syndrome (MetS) is a clump of risk factors for development of type 2 diabetes mellitus and cardiovascular diseases. Menopause and age are thought to predispose women to the development of metabolic syndrome. This study aimed to estimate the prevalence of MetS and identify its predominant components among pre-and postmenopausal women in the Kumasi Metropolis, Ghana.Two hundred and fifty (250) Ghanaian women were randomly selected for the study. They were evaluated for the prevalence of metabolic syndrome using the World Health Organization (WHO), National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), International Diabetes Federation (IDF) and Harmonization (H_MS) criteria.

RESULTS

Out of the total subjects, 143 (57.2%) were premenopausal and 107 (42.8%) menopausal. The study population was between the ages of 20-78 years. The overall percentage prevalence of MetS were 14.4%, 25.6%, 29.2% and 30.4% according to the WHO, NCEP-ATP III, IDF and H_MS criteria, respectively. The prevalence was found to increase with age, irrespective of criterion used. Generally, MetS was significantly higher among postmenopausal women (p < 0.05 by all criteria) compared to their premenopausal cohort, but with marked inter-criteria variations. Abdominal obesity, blood pressure, fasting blood glucose, triglyceride, very low density lipoprotein cholesterol, and triglyceride-high density lipoprotein cholesterol ratio were significantly (p < 0.05) different among the two groups of women.Central obesity, higher blood pressure and raised fasting blood glucose were the predominant components that contributed to the syndrome in Ghanaian women.

CONCLUSION

The higher prevalence of the metabolic syndrome in postmenopausal women is an indication that they are at risk of developing cardiovascular disease and type 2 diabetes. Therefore women in that group should be monitored for the two conditions and also be advised to adopt healthy lifestyles to minimize the incidence of these conditions.

The metabolic syndrome among postmenopausal women in rural Canton: prevalence, associated factors, and the optimal obesity and atherogenic indices

Objectives

This research aimed to (i) determine the prevalence of metabolic syndrome (MetS) and its components; (ii) assess factors associated with MetS, and (iii) define optimal ethnic-specific cutoffs of obesity- and atherogenic-based markers to predict MetS among postmenopausal women in rural Canton.

Methodology/Principal Findings

The Rural Canton Diabetes and Metabolic Disorders Study, a population based cross-sectional study, was conducted during 2011–2012 in Canton. In person interviews, blood glucose and lipid measurements were completed for 4,706 postmenopausal women who did not receive hormone replacement therapy. MetS was diagnosed using criteria of the Joint-Interim-Statement (JIS), the International-Diabetes-Federation (IDF) and the Modified-Third-Adult-Treatment-Panel (M-ATPIII). Age-standardized prevalence of MetS was 38.4%, 28.8%, and 37.1% according to JIS, IDF, and M-ATPIII criteria, respectively. Excellent agreement was observed between three definitions (κ≥0.79), in particular between JIS and ATPIII (κ = 0.98, 95%CI: 0.97–0.98). Factors positively associated with MetS were living in Southern Canton, personal income, current smoking, higher BMI, and family history of cardiovascular disease. However, regular leisure-time physical activity can have protective effects. The optimal cutoff values for waist-circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio(WHtR), BMI, HDL-cholesterol to total cholesterol ratio (HDL/TC), HDL-cholesterol to LDL-cholesterol ratio (HDL/LDL), and triglyceride to HDL-cholesterol ratio (TG/HDL) that predicted the presence of MetS were 79.5 cm, 0.86, 0.53, 22.47 kg/m², 0.33, 0.68, and 0.88, respectively.

Conclusions

This study highlights the importance of MetS among postmenopausal women in rural Canton. Our findings contribute to help selecting Cantonese-specific markers to predict MetS and support the need to establish educational program for promoting healthy-lifestyles among this population.

Relationship between serum uric acid levels and metabolic syndrome in Chinese postmenopausal women

OBJECTIVE

Serum uric acid levels have been reported to be associated with metabolic syndrome (MetS). However, few studies specifically examining the relationship between serum uric acid (SUA) levels and MetS in postmenopausal women have been reported in China. Thus, we conducted this study in order to assess the relationship between SUA levels and MetS in Chinese postmenopausal women.

METHODS

A cross-sectional study of 1022 Chinese postmenopausal women (aged 42-80 years) who participated in annual health check-ups was employed. MetS was defined by National Cholesterol Education Program/Adult Treatment Panel III criteria (NCEP-ATP III). Of all the participants, 385 women were diagnosed with MetS (MetS group) and the others were without MetS (non-MetS group). SUA quartiles were defined as follows: Q1, < 3.9 mg/dl; Q2, 3.9-4.5 mg/dl; Q3, 4.6-5.1 mg/dl; Q4, 5.2-6.0 mg/dl. The association between SUA quartiles and MetS was assessed using binary logistic regression.

RESULTS

The adjusted odds ratio (95% confidence interval) for the presence of metabolic syndrome in the highest SUA quartile vs. the lowest quartile was 3.768 (2.386-5.950) for all women (p < 0.01) after adjusting for age, body mass index, blood urea nitrogen, serum creatinine, total cholesterol, low density lipoprotein cholesterol and C-reactive protein. The presence of MetS significantly increased in the second, third and fourth quartiles of SUA. The prevalence of MetS increased gradually with an increasing serum uric acid quartile (p for trend < 0.001).

CONCLUSION

Higher SUA levels are positively and independently associated with the presence of MetS in Chinese postmenopausal women.

Associations of cardiorespiratory fitness, physical activity, and obesity with metabolic syndrome in Hong Kong Chinese midlife women

BACKGROUND

Several studies have simultaneously examined physical activity (PA) and cardiorespiratory fitness (CRF) with metabolic syndrome (MS). However, the independent roles of both PA and CRF with MS are less firmly established. The combined contributions of PA and CRF with MS are less studied, particularly among Chinese women. There is uncertainty over the extent to which metabolically healthy but overweight/obese individuals have a higher CRF level.

METHODS

The sample included 184 Chinese women aged 55 to 69 years with available metabolic data and lifestyle factors. PA was assessed by self-reported questionnaire; CRF was assessed by maximal oxygen consumption (VO2max) during a symptom-limited maximal exercise test on a cycle ergometer. Metabolically healthy/abnormal was defined on the basis of absence or presence of MS. Overweight was defined as a body mass index (BMI) of ≥ 23 kg/m2 and obese was defined as a BMI of ≥ 25 kg/m2.

RESULTS

The prevalence of MS was 21.7%. PA was inversely associated with the prevalence of MS after adjustment for age, BMI, and dietary total calories intake, but the association was eliminated after further adjustment for CRF. CRF was inversely associated with the prevalence of MS independent of age, BMI, and dietary total calories intake, and the association remained significant after further adjustment for PA. In the PA and CRF combined analysis, compared with those in the lowest tertile of PA (inactive) and lowest tertile of CRF (unfit), the OR (95%CI) of having MS was 0.31 (0.09-1.06) for subjects in the higher tertiles (2nd-3rd) of PA (active) but were unfit, 0.23 (0.06-0.88) for subjects who were inactive but in the higher tertiles (2nd-3rd) of CRF (fit), and 0.14 (0.04-0.45) for subjects who were active and fit. Metabolically healthy but overweight/obese subjects had a higher CRF level than their metabolically abnormal and overweight/obese peers. However, the difference did not reach statistically significance.

CONCLUSIONS

CRF has greater association with the prevalence of MS compared with PA in Chinese midlife women. The interrelationships between CRF, obesity, and MS needs further study.

Metabolic syndrome among pre- and post-menopausal rural women in Bangladesh: result from a population-based study

BACKGROUND

Prevalence of non-communicable diseases are a challenging problems among menopausal women specially in a least developed country like Bangladesh, where majority of women suffering from at least one chronic diseases after menopausal age. So, the main objective of this study was to determine the prevalence of metabolic syndrome and related risk factors in Bangladeshi pre- and post-menopausal women living in the rural setting.

METHODS

This study is based on a community based cross-sectional survey among 1802 rural women aged ≥15 years. Metabolic syndrome was defined according to the criteria of NCEP-ATP III. Logistic regression was used to estimate the association between menopausal status and metabolic syndrome and its components.

RESULTS

Metabolic syndrome was presented in 25.6% respondents and it was more prevalent among post-menopausal (39.3%) as compared to pre-menopausal (16.8%) women. Logistic regression analysis reveals that prevalence of metabolic syndrome was 1.78 times higher in post-menopausal women than pre-menopausal women (P = 0.001). Prevalence of high blood pressure, elevated fasting blood glucose, and high triglyceride were significantly higher in post-menopausal women than pre-menopausal women (P < 0.05). However, prevalence of low high-density lipoprotein cholesterol was significantly lower in post-menopausal women than pre-menopausal women (P < 0.001).

CONCLUSIONS

Metabolic syndrome seems to be a major health problem among post-menopausal women in many developing countries like Bangladesh and proper policy emphasis should be given on its prevention and control.

Cut-off value of body fat in association with metabolic syndrome in Thai peri- and postmenopausal women

BACKGROUND

Pathophysiologic changes during the menopause transition may contribute to the risk of metabolic syndrome (MetS). Body fat composition, particularly visceral fat, is highly associated with increased insulin resistance, abnormal carbohydrate metabolism and high blood pressure. We purposefully wished to determine the optimal cut-off values of body fat composition, including visceral fat, in order to predict MetS and to assess the prevalence of MetS in peri- and postmenopausal women.

METHODS

This cross-sectional study was conducted in a population-based, prospective cohort at the Menopause and Gynecology clinics, King Chulalongkorn Memorial Hospital. Body fat percentage and visceral fat rating were measured by a bioelectrical impedance analyzer (Tanita SC 330). MetS was diagnosed using the Harmonizing criteria of A Joint Interim Statement of IDF/NHLBI/AHA/WHF/IAS/IASO 2009. Receiver operating characteristic analyses were performed to determine the optimal cut-off values of body fat, visceral fat, waist circumference and body mass index to identify peri- and postmenopausal women at risk of MetS.

RESULTS

Ninety-two perimenopausal and 446 postmenopausal women aged 40-60 years were recruited for the analyses. The optimal cut-off values for body fat percentage, visceral fat rating, waist circumference and body mass index for identifying women at risk of MetS were 34%, 7, 88 cm and 24 kg/m(2), respectively. The prevalence of MetS in this study was 27.9%.

CONCLUSION

The optimal cut-off values to predict MetS of body fat percentage, visceral fat and waist circumference were established. Using the Harmonizing 2009 criteria, we found that approximately one out of four peri- and postmenopausal women in this study had MetS.

Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India

Context:

Increased incidences of cardiovascular disorder and metabolic syndrome particularly after menopause have raised curiosity for the underlying factors. However, it is still a debate whether age or menopausal transition is a greater contributor.

Aims:

To elucidate the inter-relationships of age, menopause, and associated obesity and to assess their independent effects on aggravation of cardio metabolic risk factors in postmenopausal women.

Settings and Design:

Four hundred two women aged between 30 and 75 years were recruited in a cross-sectional study from Southern India. Three hundred sixteen participants exempting exclusion criteria, comprising of 169 premenopausal and 147 postmenopausal women were finally included.

Materials and Methods:

Anthropometric measurements such as weight, height, waist circumference (WC), hip circumference (HC), fat percentage, basal metabolic rate (BMR), and blood pressure were taken. Fasting plasma glucose, postprandial glucose, glycated hemoglobin (HbA1c), lipid profile, and C-reactive protein (CRP) were also measured.

Statistical Analysis Used:

Independent t-test, Analysis of covariates (ANCOVA), Pearson's correlation coefficients and multiple stepwise linear regression model analysis were done.

Results:

A significant increase in physical and metabolic factors was observed in postmenopausal women compared to premenopausal women except WC and HbA1c. Contrastingly, high-density lipoprotein cholesterol (HDL) levels and BMR were significantly decreased. After adjusting for BMI and age, the significant differences in the variables through the menopausal transition persisted, including an increase in WC. Significant correlation was observed between age and measures of general obesity such as BMI (P < 0.05) and fat percentage (P < 0.001) but not with central obesity indices. Menopausal status and WC exerted an independent effect on most of the metabolic risk factors (P < 0.001 or P < 0.01). Fat percentage was the predicting variable for CRP, HbA1c, diastolic blood pressure (P < 0.001), and HDL (P < 0.01). But Age showed independent effect only on HbA1c.

Conclusions:

Menopausal transition brings about anomalies in total body composition characterized by an increased body fat mass and central adiposity. This creates a compatible atmosphere for abnormal metabolism and aggravated cardio metabolic risk factors. Thus, menopausal status and associated obesity is the major predictor of metabolic aberrations over age in menopausal women.

Prediction of metabolic syndrome among postmenopausal Ghanaian women using obesity and atherogenic markers

BACKGROUND

Metabolic syndrome (MetS) is an important health problem which puts individuals at risk for cardiovascular diseases and type 2 diabetes as well as obesity-related cancers such as colon and renal cell in men, and endometrial and oesophageal in women.

OBJECTIVE

This study was aimed at examining how obesity indicators and related determinants influence metabolic syndrome, and how the factors can be used to predict the syndrome and its cut-offs in postmenopausal Ghanaian women.

METHODS

Two hundred and fifty (250) Ghanaian subjects were involved in the study with one hundred and forty-three (143) being premenopausal women and one hundred and seven (107) postmenopausal women. The influence of traditional metabolic risk factors including high blood pressure, dyslipidemia and glucose intolerance on obesity and atherogenic indices i.e. body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), Waist-to-thigh ratio (WTR), waist-to-height ratio (WHtR), high density lipoprotein cholesterol to total cholesterol ratio (HDL-C/TC), high density lipoprotein cholesterol to low density lipoprotein ratio (HDL-C/LDL-C) and triglyceride to high density lipoprotein cholesterol ratio (TG/HDL-C) were identified according to the Harmonization (H_MS) criterion.

RESULTS

The predominant anthropometric marker that significantly influence metabolic risk factors among the pre- and postmenopausal women was waist-to-hip ratio (premenopausal: p- 0.004, 0.026 and 0.002 for systolic blood pressure (SBP), fasting blood glucose (FBG) and HDL-C; postmenopausal: p-0.012, 0.048, 0.007 and 0.0061 for diastolic blood pressure (DBP), FBG, triglyceride (TG) and high density lipoprotein cholesterol (HDL-C) respectively). Using the receiver operating characteristic (ROC) analysis, the area under the curve for WC, WHR, TG/HDL-C and HDL-C/TC among postmenopausal women were estimated at 0.6, 0.6, 0.8 and 0.8 respectively. The appropriate cut-off values for WC, WHR, TG/HDL-C and HDL-C/TC that predicted the presence of metabolic syndrome were 80.5 cm, 0.84, 0.61 and 0.34 respectively.

CONCLUSION

The presence of metabolic syndrome among Ghanaian postmenopausal women can be predicted using WC, WHR, TG/HDL-C and HDL-C/TC.

The Metabolic Syndrome among Postmenopausal Women in Gorgan

Introduction. The present study aimed to assess the metabolic syndrome among postmenopausal women in Gorgan, Iran. Materials and Methods. The study was conducted on hundred postmenopausal women who were referred to the health centers in Gorgan. Metabolic syndrome was diagnosed using Adult Treatment Panel III (ATP III) guidelines. Results. The mean body mass index, waist circumference, hip, circumference waist-to-hip ratio, diastolic blood pressure, and triglyceride and fasting blood glucose levels were significantly high among postmenopausal women with metabolic syndrome, but the mean HDL-cholesterol was significantly low (P < 0.05). Overall prevalence of metabolic syndrome was 31%. Body mass index and waist circumference had a positive correlation with a number of metabolic syndrome factors (P < 0.001). Body mass index, waist circumference, and waist-to-hip ratio had a positive correlation with each other (P < 0.001). BMI had relatively high correlation with WC (P < 0.001). Conclusions. Our results show that postmenopausal status might be a predictor of metabolic syndrome. Low HDL-cholesterol level and high abdominal obesity are the most frequent characteristics in comparison to other metabolic components. Our study also showed some related factors of metabolic syndrome among postmenopausal women. These factors may increase cardiovascular risk among postmenopausal women with metabolic syndrome.

Menopause and metabolic syndrome: A study of 498 urban women from western India

Introduction:

Metabolic syndrome (MS) is a cluster of risk factors for future development of type 2 diabetes mellitus and cardiovascular diseases. Menopausal transition with its incidental hormonal changes is considered to contribute to the development of MS. However, age is known to influence MS risk factors.

Objective:

The present study explores the prevalence of MS in pre- and postmenopausal women from western India.

Methods:

Four hundred and ninety eight women above 35 years of age, participating in women's health care program were assessed for the prevalence of MS using two criteria- International Diabetes Federation criteria (IDF) and Harmonization (H_MS) criteria.

Results:

Prevalence of MS amongst postmenopausal women was significantly higher (P < 0.001) than that in premenopausal women by both, IDF (premenopausal 45% and postmenopausal 55%) and H_MS criteria (premenopausal 44% and postmenopausal 56%). However, this significance disappeared when data was adjusted for the confounding variable of age.