Prevalence Rate Of Metabolic Syndrome Research Articles

Metabolic characteristics of different phenotypes in reproductive-aged women with polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is an endocrine metabolic disorder in reproductive-aged women. The study was designed to investigate the metabolic characteristics of different phenotypes in women with PCOS of reproductive age. A total of 442 women with PCOS were recruited in this cross-sectional study. According to different phenotypes, all women were divided into three groups: the chronic ovulatory dysfunction and hyperandrogenism group (OD-HA group, n = 138), the chronic ovulatory dysfunction and polycystic ovarian morphology group (OD-PCOM group, n = 161), and the hyperandrogenism and polycystic ovarian morphology group (HA-PCOM group, n = 143). The metabolic risk factors and prevalence rates of metabolic disorders among the three groups were compared. The body mass index (BMI), waist circumference, and waist-to-hip ratio (WHR) of women from the OD-HA group and HA-PCOM group were significantly higher than those of women from the OD-PCOM group (p < 0.05). The serum insulin concentration and homeostasis model assessment of insulin resistance (HOMA IR) at 2h and 3h after oral glucose powder in women from the OD-HA group and HA-PCOM group were significantly higher than those from the OD-PCOM group (p < 0.05). The serum total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C) in women from the OD-HA group and HA-PCOM group were significantly higher than those in women from the OD-PCOM group (p < 0.05). The prevalence rates of impaired glucose tolerance (IGT), type 2 diabetes mellitus (T2DM), insulin resistance (IR), metabolic syndrome (MS), nonalcoholic fatty liver disease (NAFLD), and dyslipidemia of women with PCOS were 17.9%, 3.6%, 58.4%, 29.4%, 46.6%, and 43.4%, respectively. The prevalence rates of IGT, IR, MS, NAFLD, and dyslipidemia of women in the OD-HA group and HA-PCOM group were significantly higher than those of women in the OD-PCOM group (p < 0.05). T concentration (>1.67 nmol/L) and Ferriman-Gallwey (F-G) score (>3) significantly increased the risk of metabolic disorders in women with PCOS (p < 0.05). The phenotypes of OD-HA and HA-PCOM in women with PCOS were vulnerable to metabolic disorders compared to OD-PCOM. Thus, the metabolic disorders in women with PCOS especially those with the HA phenotype should be paid more attention in order to reduce long-term complications.

Impact of postpartum weight change on metabolic syndrome and its components among women with recent gestational diabetes mellitus

BackgroundWhile postpartum weight changes may affect the levels of metabolic parameters, the direct effects of weight changes in the postpartum period on changes in the prevalence rates of metabolic syndrome and its components remain unstudied. This study aimed to investigate the effects of postpartum weight changes between 6 weeks and 6 months on changes in the prevalence rates of metabolic syndrome and its components in women who have recently experienced gestational diabetes mellitus.MethodsThis prospective cohort study included 171 postpartum women with recent gestational diabetes mellitus, who underwent serial weight and metabolic risk factor assessments at 6 weeks and 6 months postpartum. Weight changes between these time points were classified as weight loss (> 2 kg), weight stability (± 2 kg), or weight gain (> 2 kg). Metabolic syndrome comprised the following metabolic risk factors: large waist circumference, elevated blood pressure, elevated fasting plasma glucose levels, high triglyceride levels, and low high-density lipoprotein cholesterol levels.ResultsOf the 171 women in our cohort, 30 women (17.5%) lost > 2 kg of body weight, while 85 (49.7%) maintained a stable weight and 56 (32.8%) gained > 2 kg. The weight loss group experienced significant changes in the prevalence rates of the following metabolic risk factors compared to the weight stability and weight gain groups: large waist circumference (% change: − 26.7 vs − 5.9 vs 5.4, respectively; p = 0.004), elevated fasting plasma glucose levels (% change: − 3.4 vs 18.9 vs 26.8, respectively; p = 0.022), and high triglyceride levels (% change: − 30.0 vs 0 vs − 7.2, respectively; p = 0.024). A significantly greater decrease in the prevalence of metabolic syndrome was also found in the weight loss group than in the other two groups (% change: − 20.0 vs 11.8 vs 14.2, respectively; p = 0.002).ConclusionsWeight changes from 6 weeks to 6 months postpartum significantly altered the prevalence rates of metabolic syndrome and its components in women with recent gestational diabetes mellitus. Early postpartum weight loss can reverse metabolic risk factors and reduce the prevalence of metabolic syndrome.Trial registrationThai Clinical Trials Registry: Registration no. TCTR20200903001. Date of registration: September 3, 2020. Date of initial participant enrolment: September 7, 2020.

Nonalcoholic Fatty Liver Disease and Continuous Metabolic Syndrome in Adolescents with Overweight/Obesity.

Nonalcoholic fatty liver disease is the leading cause of pediatric chronic liver disease. Although nonalcoholic fatty liver disease is closely associated with obesity, its relationship with metabolic syndrome in children is not fully understood. The main aim of this study was to evaluate the association between nonalcoholic fatty liver disease and a combination of cardiometabolic risk factors in adolescents with overweight/obesity, using a pediatric metabolic syndrome score (PsiMS) to predict metabolic syndrome. A retrospective cohort study was conducted. Subjects with overweight/obesity aged 10 to 17 followed at two clinical centers in Portugal (2018 - 2021) were enrolled. The independent association of nonalcoholic fatty liver disease with PsiMS, and of other potential predictors, was tested through multiple regression analyses. Receiver operator characteristic curve analysis was performed to estimate the optimal cutoff of PsiMS to discriminate metabolic syndrome. Eighty-four subjects were included (median age at baseline 11.5 years). The prevalence rate of nonalcoholic fatty liver disease was 51% and the prevalence rate of metabolic syndrome was 7%. The mean PsiMS was 2.05 ± 0.48 at the first evaluation, and 2.11 ± 0.52 at the last evaluation (mean follow-up time was 15 months). The nonalcoholic fatty liver disease group had significantly (p < 0.05) higher weight and body mass index z-scores, higher rate of severe obesity and higher waist circumference percentile. PsiMS was highly accurate in predicting metabolic syndrome (area under the curve = 0.96), with an optimal cutoff of 2.46 (sensitivity 100%, specificity 89%). In the univariate analysis, no statistically significant association was observed between nonalcoholic fatty liver disease and PsiMS. In the multiple regression analysis, female sex had a negative association with PsiMS (first and last evaluation). Independent predictors of a higher PsiMS at first evaluation were: ≥ 2 metabolic syndrome criteria, body mass index z-score, insulin resistance and dyslipidemia. At the last evaluation, independent predictors of a higher PsiMS were: nonalcoholic fatty liver disease, baseline PsiMS and body mass index increase from baseline. The results suggest a good performance of the PsiMS to assess metabolic syndrome and that nonalcoholic fatty liver disease is associated with PsiMS at follow-up.

Benign prostatic hyperplasia and metabolic syndrome; prevalence and association: a cross-sectional study in Syria

BackgroundBenign Prostatic Hyperplasia (BPH) is considered the most common cause of lower urinary tract symptoms in men aged 40 years and older. BPH is related to sex steroids, but there are increasing studies investigating the relationship between the urinary symptoms and the metabolic syndrome. They still have inconsistent results; some reported a significant positive association, while others found no significant association. In this study, we aim to assess the prevalence rate of metabolic syndrome in BPH patients and whether there is an association between symptoms linked to BPH and metabolic syndrome in the Syrian community.MethodsThe participants of this observational cross-sectional study were benign prostatic hyperplasia patients aged 40-year-old and older from Homs, Syria. An interview questionnaire was performed to collect data from all patients who visited the urology clinic of Homs Military Hospital in the period of January 10 to March 10, 2023. We used the International Prostate Symptom Score (IPSS) to assess the urinary symptoms, and we used the US National Cholesterol Education Program Adult Treatment Panel (NCEP ATPIII) criteria to define the metabolic syndrome.ResultsThe final sample size was 426 patients. The overall prevalence of metabolic syndrome was 46.2%. Patients with metabolic syndrome had higher International Prostate Symptom Score compared to patients without metabolic syndrome (21 vs. 18, P < 0.001), and 59.3% of patients with metabolic syndrome suffered from severe symptoms compared to 36.2% of patients without metabolic syndrome who suffered from severe lower urinary tract symptoms (P < 0.001). There was a positive association between (waist circumference, diabetes, triglycerides) (P < 0.001), HDL (P = 0.014) and higher International Prostate Symptom Score. However, there was no statistically significant association between blood pressure and International Prostate Symptom Score (P = 0.879).ConclusionOur results showed that patients with metabolic syndrome had a higher International Prostate Symptom Score. This idea should be used to design a new benign prostatic hyperplasia/lower urinary tract symptoms treatment.

The Gangwon Obesity and Metabolic Syndrome Study: Methods and Initial Baseline Data.

The prevalence of obesity has been continuously increasing, especially in rural areas of South Korea. Therefore, it is important to examine various genetic, behavioral, and environmental factors associated with obesity in these rural areas. The Korean Society for the Study of Obesity commenced a community-based prospective cohort study of the Gangwon area called the Gangwon Obesity and Metabolic Syndrome (GOMS) study to investigate longitudinal changes in the status of obesity and its related factors. A total of 317 adults 40-69 years of age were recruited from Hongcheon and Inje districts, Gangwon province, as part of the first wave of this cohort study. Information on participants' demographic, behavioral, psychological, dietary, and environmental factors and past medical histories were collected by self-administered questionnaires and interviewer-administered questionnaires. Anthropometric measurements, blood tests, and a hand grip strength test were performed, and skin keratin and stool samples were collected. Among the 317 enrolled subjects, two participants who did not have anthropometric data were excluded from the data analyses, resulting in an inclusion of a total of 315 participants. The mean age of the 315 participants in the GOMS initial baseline survey was 58.5 years old, 87 of them were men, and the mean body mass index was 24.7±3.7 kg/m2. Among all participants, 48.9% had hypertension, 21.4% had diabetes mellitus (DM), 55.6% had dyslipidemia, and 46.0% had metabolic syndrome (MS). Both the prevalence rates of DM and MS were significantly higher in men. The first baseline survey of the GOMS study was initiated, and a more detailed analysis of respondents' data is expected to be continued. Further follow-up and additional recruitment will allow the investigation of risk factors and the etiology of obesity and its comorbidities in rural areas of Gangwon province.

Factors Affecting the Health-Related Quality of Life of Cancer Survivors According to Metabolic Syndrome.

Cancer survivors face an increased risk of non-cancer-related deaths, particularly associated with metabolic syndrome. With increased cancer survivors having metabolic syndrome, health-related quality of life beyond cancer diagnosis and treatment has assumed greater importance. This study evaluated the prevalence rate of metabolic syndrome in cancer survivors. It examined the correlation between health-related quality of life and influencing factors according to the prevalence of metabolic syndrome. This is a cross-sectional national study using secondary data from the 2010-2018 Korean National Health and Nutrition Examination Survey by the Korea Disease Control and Prevention Agency. We analyzed a final sample of 1293 cancer survivors using multiple regression. The prevalence rate of metabolic syndrome in cancer survivors was measured at 32.1%. Cancer survivors with metabolic syndrome had a lower health-related quality of life than those without it. The difference was statistically significant. Compared with cancer survivors without metabolic syndrome, those with it experienced substantial negative effects from stress, reducing health-related quality of life. Walking and muscle-building workouts had a positive effect on stress and improved quality of life. Cancer survivors' metabolic syndrome should be monitored closely. Development of a customized intervention program including stress management and physical activities improves their health-related quality of life. Stress management and physical activities increase health-related quality of life among cancer survivors with metabolic syndrome; thus, healthcare providers should implement intervention programs that promote exercise engagement and stress management for this population.

The prevalence and associated factors of metabolic syndrome among Tibetan pastoralists in transition from nomadic to settled urban environment

Objective: To study the prevalence and associated factors of metabolic syndrome (MS) among Tibetan pastoralists in transition from high altitude nomadic to settled urbanized environment, especially dietary factors. Methods: The community-based cross-sectional study included 920 Tibetan adults (men 419, women 501). Data were collected using questionnaires, anthropometric measurements, and biomarker tests. Questionnaires included socio-economic, lifestyle characteristics and food consumption. Principal component analysis was used to identify dietary patterns. The risk factors of MS and its components were analyzed by logistic regression model. Results: The prevalence rates of MS and its components were 32.8% (MS), 83.7% (decreased HDL-C), 62.1% (central obesity), 36.7% (elevated blood pressure), 11.8% (elevated TG), and 7.9% (elevated blood glucose), respectively. The prevalence of overweight was 31.2%, obesity 30.3%. Multivariate analysis showed smoking was associated factor for both of decreased HDL-C (OR=1.239, 95%CI: 1.025-1.496) and elevated TG (OR=1.277, 95%CI: 1.038-1.571). Alcohol drinking appeared as associated factor of elevated TG (OR=1.426, 95%CI: 1.055-1.927). However, physical activity showed as a protective factor for central obesity, decreased HDL-C, and elevated TG. With the increase of age, the adherence to the urban and western dietary patterns decreased, and that to the pastoral dietary pattern increased. By quintiles of dietary pattern scores, the urban dietary pattern was significantly associated with MS (trend test P=0.016). Conclusions: Tibetan pastoralists had high prevalence of both MS and obesity. Smoking, alcohol drinking, the transition from pastoral dietary pattern to urban dietary pattern and inadequate physical activity served as associated factors for MS and its components.

Systematic Review and Meta-analysis of the Association Between Metabolic Syndrome and Androgenetic Alopecia.

The association of androgenetic alopecia with metabolic syndrome has been investigated in several studies, with conflicting results. We conducted a meta-analysis to quantitatively evaluate the risk grade of metabolic syndrome and the metabolic profile in patients with androgenetic alopecia compared with controls. In total, 19 articles (2,531 participants) satisfied the inclusion criteria. The pooled odds ratio for the prevalence rate of metabolic syndrome between the group with androgenetic alopecia and controls was 3.46 (95% CI 2.38–5.05; p < 0.001). Female sex, early onset, and African ethnicity were associated with an increased risk of metabolic syndrome. Furthermore, patients with androgenetic alopecia had significantly poorer metabolic profiles, such as body mass index, waist circumference, fasting glucose, blood lipids, and blood pressure. It is important for physicians to screen metabolism-related indicators in patients with androgenetic alopecia. More rigorously designed studies and larger sample sizes are required in future studies.

The Associations Between Sedentary Time and Obesity Levels and Prevalence Rate of Metabolic Syndrome in Older Korean Adults

The purpose of this study was to investigate the relationships between sedentary time, obesity levels and prevalence rate of metabolic syndrome (MS) in older adults in Korea. A total of 1,404 subjects (621 males, 783 females) participated in this cross-sectional study. We measured sedentary time, body mass index (BMI), MS risk factors including waist-circumference (WC), fasting blood glucose (FBG), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), and diastolic blood pressure (DBP). Compared to the low BMI (BMI <25 kg/㎡) group, the high BMI (BMI ≥25 kg/㎡) group had significantly higher levels of WC, FBG, and TG, and a significantly lower level of HDL-C. For the correlation between sedentary time and the risk factors of MS, the high sedentary time group had significantly higher levels of WC and TG than those of the low sedentary time group. After adjusted for age and sex, when subjects were divided into four groups according to sedentary time and BMI. High BMI and High Sedentary time (HBHS) group showed significantly higher levels WC, FBG, and TG, with a significantly lower level of HDL-C compared to Low BMI and Low Sedentary time (LBLS) group. The prevalence of MS in the HBHS group was 4.57 times higher than the LBLS group [OR(Odds ratio): 4.57, 95% CI(confidence interval): 3.29-6.34]. In conclusion, sedentary times and BMI of the older adults had an effect on metabolic syndrome incidence. Therefore, LBLS are very important to decrease the prevalence of MS.

Metabolic syndrome and its determinants among professional drivers: a systematic review and meta-analysis.

Drivers are one of the trade unions that are most exposed to various health-related risks, especially metabolic diseases. The present study aimed to systematically assess the overall prevalence of metabolic syndrome and its determinants among drivers in the world. All retrospective, cross-sectional, or prospective studies evaluating the prevalence and risk for metabolic syndrome and its main components among male professional drivers were eligible for the initial assessment. PRISMA guideline was used. Two blinded reviewers independently screened the titles and abstracts of the manuscripts followed by a deep assessment of the full texts for determining the inclusion appropriateness. In the final, 12 articles were eligible for the final analysis. Overall, 19,350 professional male drivers with a total average age of 43.06years (ranged from 35.5 to 51.1years) were included in the study. The prevalence of metabolic syndrome was estimated to be 32.8% (95%CI: 32.1% to 33.5%), and the major determinants of appearing this syndrome among professional drivers were advanced age, years of driving experience, higher body mass index, smoking, high cholesterol dietary regimen, high Framingham risk score, low regular exercising, history of diabetes mellitus, history of gout, and shift work pattern. According to the 32.8% prevalence rate of metabolic syndrome among drivers, managerial measures are needed to prevent and control metabolic disturbances among professional drivers are recommended.

Association Between Hyperhomocysteinemia Combined with Metabolic Syndrome and Higher Prevalence of Stroke in Chinese Adults Who Have Elevated Blood Pressure.

BackgroundHyperhomocysteinemia (HHcy) and metabolic syndrome (MS) are established cardiovascular risk factors of stroke and are frequently associated with hypertension. However, studies on the association between HHcy combined with MS and stroke risk in hypertensive patients were absent.Material/MethodsIn 14 059 selected participants with elevated blood pressure, we assessed the prevalence of the MS and stroke. We defined HHcy as plasma total homocysteine >15 μmol/L. MS was defined according to the Chinese Diabetes Society (CDS) criterion. Multivariable analysis was used to examine the association of HHcy or (and) MS with stroke risk in different models.ResultsThe prevalence rates of HHcy and MS were 49.96% and 42.21%, respectively. Patients with stroke had higher plasma total homocysteine levels and a higher prevalence of MS (P<0.001). Multivariable analyses indicated that HHcy and MS are independently associated with higher prevalence of stroke (adjusted-odds ratio (OR): 1.36, 95% CI 1.17 to 1.58, P<0.001; adjusted-OR: 1.68, 95% CI 1.44 to 1.96, P<0.001, respectively). Those with combined HHcy and MS had higher odds of stroke than those with isolated HHcy or MS (adjusted-OR: 1.78, 95% CI 1.47 to 2.15, P<0.001; adjusted-OR: 1.39, 95% CI 1.13 to 1.70, P=0.002, respectively).ConclusionsHHcy combined with MS was associated with higher prevalence of stroke in Chinese adults with elevated blood pressure.

Magnitude, components and predictors of metabolic syndrome in Northern Ethiopia: Evidences from regional NCDs STEPS survey, 2016.

Individuals with metabolic syndrome are five times more susceptible to chronic diseases. Assessment of its magnitude, components, and risk factors is essentials to deploy visible interventions needed to avoid further complications. The study aimed to assess magnitude, components, and predictors of metabolic syndrome in Tigray region northern Ethiopia, 2016. Data were reviewed from Tigray region NCDs STEPs survey data base between May to June 2016. A total of 1476 adults aged 18-64 years were enrolled for the study. Multi-variable regression analysis was performed to estimate the net effect of size to risk factors associated with metabolic syndrome. Statistical significance was declared at p-value of ≤0.05 at 95% confidence interval (CI) for an adjusted odds ratio (AOR). The study revealed that unadjusted and adjusted prevalence rate of Metabolic Syndrome (MetS) were (CPR = 33.79%; 95%CI: 31.29%-36.36%) and (APR = 34.2%; 95% CI: 30.31%-38.06%) respectively. The most prevalent MetS component was low HDL concentration (CPR = 70.91%; 95%CI: 68.47%-73.27%) and (APR = 70.61; 95%CI; 67.17-74.05). While; high fasting blood glucose (CPR = 20.01% (95%CI: 18.03-22.12) and (APR = 21.72; 95%CI; 18.41-25.03) was the least ones. Eating vegetables four days a week, (AOR = 3.69, 95%CI; 1.33-10.22), a salt sauce added in the food some times (AOR = 5.06, 95%CI; 2.07-12.34), overweight (AOR = 24.28, 95%CI; 10.08-58.47] and obesity (AOR = 38.81; 12.20-111.04) had strong association with MetS. The magnitude of metabolic syndrome was found to be close to the national estimate. Community awareness on life style modification based on identified MetS components and risk factors is needed to avoid further complications.

Increased prevalence rate of metabolic syndrome is an independent predictor of cardiovascular disease in patients with antineutrophil cytoplasmic antibody-associated vasculitis.

We investigated the prevalence of metabolic syndrome (MetS) in all or nonobese patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) and compared it with age- and gender-matched controls. Also, we assessed the effect of variables at diagnosis on the risk of cardiovascular disease (CVD) in all or nonobese AAV patients. In this study, 173 AAV patients and 344 controls were included and MetS was defined by the National Cholesterol Education Program Adults Treatment Panel III criteria. The obesity based on body mass index (BMI) was defined as BMI ≥ 25kg/m2. The follow-up duration was defined as the period from diagnosis to the last visit or to each poor outcome occurrence. The median age of AAV patients was 58.7years and 57 patients were men. The prevalence of MetS was 50.9% in all AAV patients and 46.5% in nonobese AAV patients, which were significantly higher than 37.8% in all controls and 28.2% in nonobese controls. In Kaplan-Meier survival analysis, Mets at diagnosis significantly reduced the cumulative CVD-free survival rate in both all and nonobese AAV patients. In the multivariable Cox hazards model analysis, CVD during follow-up was significantly associated with both Birmingham vasculitis activity score (BVAS) (HR 1.159) and MetS at diagnosis (HR 9.036) in nonobese AAV patients. The prevalence of MetS at diagnosis in all or nonobese AAV patients was significantly higher than those in all or nonobese controls. Furthermore, both BVAS and MetS at diagnosis increased the risk of CVD in nonobese AAV patients.

The Association between Metabolic Syndrome and Related Factors among the Community-Dwelling Indigenous Population in Taiwan.

The aim of this study was to conduct a community-based study with a view to construct a detailed analysis about metabolic syndrome and the related risk factors of the indigenous population. This was an observational, population-based and cross-sectional study that was conducted in remote villages of an indigenous community in northern Taiwan between 2010 and 2013. A total of 586 participants, 275 men and 311 women, were eligible for analysis. The participants underwent a questionnaire survey that included demographic and health behavior issues. An anthropometric assessment and measurements of blood pressure were carried out including serum biochemical variables. Metabolic syndrome (MetS) was defined by following the criteria provided by the modified Adult Treatment Panel III (ATP III) criteria of the National Cholesterol Education Program (NCEP). Univariate and multiple logistic regressions were used to identify the risk factors for metabolic syndrome. The standardized prevalence rates of substance use (cigarette smoking, alcohol drinking and betel nut chewing) were significantly higher than the general population regardless of whether it was northern, central or southern Taiwan and this was especially the case with betel nut chewing in women. The prevalence rate of metabolic syndrome was 42.9% in the indigenous population with 41.3% in men and 44.4% in women, which was higher than for urban Taiwanese. In the multiple logistic regression models, we found that the significant associated factors for metabolic syndrome were older age, lower education level, high levels of uric acid, alanine transaminase (ALT), gamma-glutamyl transferase (γ-GT) and creatinine. A higher prevalence rate of metabolic syndrome and substance use were observed in the indigenous population compared with urban Taiwanese, especially in women.

Metabolic syndrome amongst adults in Jordan: prevalence, trend, and its association with socio-demographic characteristics

BackgroundMultiple epidemiological studies were conducted amongst a variety of ethnic groups and showed discrepancies in the prevalence of metabolic syndrome (MeS) and its individual components. This study aimed to determine the prevalence of MeS in Jordan using both the Adult Treatment Panel Guidelines (ATP III) and the International Diabetes Federation (IDF) criteria. The study also aimed to assess the changes in the prevalence of MeS over time and determine its association with sociodemographic variables.MethodsData from the 2017 Cardiovascular Disease Risk Factors Survey were used for this study. Socio-demographic and clinical data were collected using a structured questionnaire. Blood samples were taken for biochemical measurements. Furthermore, anthropometric characteristics were measured by the same team of trained field researchers. A sample of 4,056 individuals aged between 18 and 90 years was included in this study. The findings from the 2017 survey were compared with the findings of a 2009 survey that adopted the same methods and procedures.ResultsAccording to the IDF criteria, the crude prevalence of Metabolic syndrome was 48.2% (52.9% among men and 46.2% among women; p < 0.001). Using the ATP III criteria, the prevalence was 44.1% (51.4% among men and 41% among women, p < 0.001). The age-standardized prevalence rate of metabolic syndrome was 44% (95% CI 42.7, 45.4) and 39.9% (95% CI 39.6, 41.2), according to both the IDF definition and ATP III criteria, respectively. The Kappa measure of agreement showed excellent agreement between the two definitions (k = 81.9%, p < 0.001). Of all participants, 41.7% met both the IDF and ATP III diagnostic criteria, 6.6% met the IDF criteria only, and 2.5% met the ATP III criteria only. The age-standardized prevalence rate of metabolic syndrome was significantly higher in 2017 (45.7% in men and 44.5% in women) than that in 2009 survey (34.6% in men and 39.8% in women). Gender, age, occupation, region, and marital status were significantly associated with metabolic syndrome.ConclusionsThe prevalence of metabolic syndrome in Jordan is considerably high and it is increasing. Healthy lifestyle programs encouraging appropriate dietary habits and physical activity are strongly recommended in Jordan.

Analysis of Nidan (Etiological Factors) Of Metabolic Syndrome.

Metabolic syndrome is a clustering of at least three of these-Abdominal (central) obesity, Elevated bloodpressure, Elevated fasting plasma glucose, High serum triglycerides and Low high-density lipoprotein (HDL)levels. In recent years, there is an alarming increase in metabolic syndrome. The overall prevalence rate ofmetabolic syndrome is 33.5%. It is 24.9% in males and 42.3% in females. The terminology ‘Metabolicsyndrome’ represents its relation with metabolism. It can be said that disequilibrium of metabolism causesmetabolic syndrome. The word metabolism can be correlated with ‘concept of Agni’ described in Ayurvedabecause entire range of digestive and metabolic activities of the body take place with the help of the biologicalfire of the body called Agni. This study was conducted to explore the nidan (Etiological factors) of metabolicsyndrome based on basic concepts of Ayurveda and it suggest to think about overcoming mental stress (asone of the prominent etiological factor) while managing Metabolic syndrome.

The Relationship between Dietary Sodium-to-Potassium Ratio and Metabolic Syndrome in Korean Adults: Using Data from the Korean National Health and Nutrition Examination Survey 2013-2015

Background: The dietary sodium-to-potassium ratio (Na:K) is known to have a stronger association with cardiovascular disease compared with a single intake of sodium or potassium. Accordingly, this study sought to examine the relationship between sodium-potassium intake balance and metabolic syndrome, which increases the occurrence of cardiovascular disease.Methods: Data from the Korea National Health and Nutrition Examination Survey 2013-2015 were used, and the subjects were 13,164 adults aged 19 years and over. This study examined sodium and potassium intake and Na:K based on Korean adults' age and sex, and analyzed food groups that contribute to adequate sodium and potassium intake based on an Na:K of 1. Correlations between Na:K, metabolic syndrome, and risk factors were examined through a multiple logistic regression analysis.Results: Korean adults' average daily intake of sodium was 3,976 mg, while that of potassium was 3,076 mg.Meanwhile, the Na:K was identified to be 2.33. The food group that contributed the most to potassium intake was fruits in subjects whose Na:K was below 1, and vegetables in those whose Na:K was over 1. Compared with the lowest quartile, the highest quartile in Na:K was up 19% in the probability that one would suffer from metabolic syndrome (&lt;i&gt;P&lt;/i&gt; for trend=0.001). Also, more Na:K led to a significant increase in the risk of elevated blood pressure and elevated blood sugar (&lt;i&gt;P&lt;/i&gt; for trend=0.015 and 0.012).Conclusions: A rise in Na:K is related to a risk of hypertension and high blood sugar, and such a rise raises the prevalence rate of metabolic syndrome.

Relationship between both duration and quality of sleep, and metabolic syndrome identified by classification tree model in midlife population in Tianjin

Objective: To study the association of duration and quality of sleep with metabolic syndrome. Methods: Multi-stage cluster random sampling method was used to extract data from the '2015 adult chronic disease and nutrition monitoring population project' from 42 communities of 7 districts in Tianjin. A total of 1 388 residents aged 45 to 59 years old were selected to analyze the relationship between both duration and quality of sleep and the metabolic syndrome. χ(2) test, non-conditional logistic regression and classification tree models were used for data analysis. Result: The prevalence of metabolic syndrome appeared as 30.4%, 37.4 % and 43.1% in the poor, common or well sleep groups respectively. The prevalence rates of metabolic syndrome in the sleep time <6.0 h and >7.5 h, 6.0-7.5 h groups were 36.5% and 30.6% respectively. After adjusting for gender and age, results from the logistic regression analysis showed that short or long sleep duration, as well as poor sleep quality all appeared as risk factors on metabolic syndrome (P<0.05). According to the classification tree model, factors as gender (importance: 0.004, standardized importance: 100%), quality of sleep (importance: 0.004, standardized importance: 99.5%), duration of sleep (importance: 0.002, standardized importance: 38.6%), education level (importance: 0.001, standardized importance: 22.3%) and salt intake (importance: 0.001, standardized importance: 22.2%) were all important on metabolic syndrome and with interactive effects. Conclusions: Both quality and duration of sleep were important influencing factors on metabolic syndrome among midlife population in Tianjin. More attention should be paid to sleep and health status among the midlife population. Ability on self-management of health should also be strengthened through health education, to prevent metabolic syndrome and other chronic diseases in this population.

A Comparative Assessment of Metabolic Syndrome and its Association with Vitamin D and Other Risk Factors in Type 2 Diabetes Mellitus Patients.

To determine the overall prevalence of metabolic syndrome using the World Health Organization (WHO); National Cholesterol Education Program (NCEP), and the International Diabetes Federation (IDF) guidelines and to study its association with vitamin D and other biochemical parameters in patients with type 2 Diabetes mellitus, as well as to identify the set of biochemical parameters that jointly influence the metabolic syndrome using different diagnostic criteria. A cross-sectional study was carried out at a private health care center in -a total of 291 diabetic patients. Socio-demographic, clinical, and laboratory data were obtained from the medical records of patients. Statistical analysis was carried out using the Statistical Package for the Social Sciences (SPSS, version 23). A total number of 291 patients with T2DM were included in this study. The overall prevalence of metabolic syndrome among the study subjects was 48.1%, 87.3%, 64.9% using the WHO, IDF, and NCEP-ATPIII criteria, respectively. The highest prevalence was reported following IDF diagnostic criteria. Sex, triglyceride, and fasting blood sugar were associated factors of metabolic syndrome by all the three diagnostic criteria of metabolic syndrome. The study revealed a high prevalence rate of metabolic syndrome among type 2 diabetic patients, which was highest at 87.3% according to IDF and lowest was observed according to the WHO criteria i.e, 48.1%. A significant variance in the prevalence of metabolic syndrome was reported between WHO, IDF, and NCEP criteria.

Correlation between Metabolic Syndrome and Intracranial Versus Extracranial Arteriosclerosis among Chinese Patients with Stroke

We aimed to explore the correlation between metabolic syndrome and intracranial and extra-cranial arteriosclerosis. Overall, 318 over 60-yr-old patients with cerebral infarction or TIA who were examined by digital subtraction angiography (DSA) in our hospital were enrolled in the study. Overall, 192 patients with intracranial and extracranial arteriosclerosis were admitted to the case group (the intracranial and extracranial arteriosclerosis group). Also, 196 patients, suffering from the same condition, were selected from our outpatient clinic and enrolled in the control group. The prevalence of metabolic syndrome was 31.4%. The prevalence of each metabolic syndrome component in the intracranial arteriosclerosis group was higher than those of the extracranial arteriosclerosis and the control groups. The average component values in the intracranial arteriosclerosis group was higher than those observed in other groups. The prevalence rate of metabolic syndrome had no significant difference among different degrees of stenosis for extracranial arteriosclerosis group. There was a remarkable correlation between intracranial arteriosclerosis and metabolic syndrome (P<0.001), while no correlation was detected between extracranial arteriosclerosis and metabolic syndrome (P<0.001). We concluded that metabolic syndrome may increase the prevalence risk of intracranial arteriosclerosis. There was a significant correlation between intracranial arteriosclerosis and metabolic syndrome components including hyperglycemia and hypertension. Also, there was a significant correlation between extracranial arteriosclerosis and metabolic syndrome components including hyperglycemia. We believe that at least three components of metabolic syndrome can obviously increase the risk of intracranial arteriosclerosis.