Predictors Of Metabolic Syndrome Research Articles

Computed tomographic abdominal fat volume estimation - a handy tool to predict the risk of metabolic syndrome.

Abdominal obesity plays a significant role in the development of metabolic syndrome, with individual metabolic risk profiles for visceral and subcutaneous adipose tissues. This study aimed to calculate and correlate the subcutaneous, visceral, and total fat compartment volume in metabolic and non-metabolic syndrome patients. This was a cross-sectional study conducted on 112 patients categorized into Group A (with metabolic syndrome) and Group B (without metabolic syndrome). They were subjected to computed tomography (CT) study of the abdomen using a 128-slice MDCT scanner. Body mass index (BMI), visceral fat volume (VFV), subcutaneous fat volume (SFV), and total fat volume (TFV) were calculated and correlated with biochemical evidence of metabolic syndrome. The mean age of patients in Group A was 60.91 ± 12.23 years as compared to Group B, which was 50.12 ± 16.30 years. Overall, a male predominance was observed, i.e. 69 cases (61.6%). BMI was proven to be an inaccurate risk predictor. However, mean VFV, SFV, and TFV was statistically higher in patients with metabolic syndrome (p = 0.001), with visceral fat volume predicting a higher risk in females (p = 0.026). Abdominal CT is a commonly performed yet unexplored tool for the risk assessment of metabolic syndrome. Through the results obtained in this study, we have proven the need for calculating SFV, VFV, and TFV as predictors of metabolic syndrome in comparison to the conventional practice of BMI assessment. The radiologist can thus work with the clinician to effectively detect and treat this health condition.

CRP/HDL-C and Monocyte/HDL-C ratios as Predictors of Metabolic Syndrome in Patients With Type 2 Diabetes Mellitus.

Metabolic syndrome (MetS) denotes a cluster of co-occurring medical conditions associated with regulating hyperglycemia and acute cardiovascular events and complications. The escalating frequency of MetS among individuals afflicted with type 2 diabetes mellitus (T2DM) underscores its burgeoning significance as a critical public health concern and a complex clinical conundrum. Timely identification is imperative to avert the expedited progression of diabetic complications. To investigate the role of CRP/HDL-C and Monocyte/HDL ratios in predicting MetS in T2DM individuals. The study was designed as a two-year prospective study and included 80 T2DM patients divided into MetS and non-MetS groups based on MetS development over two years. The patients' serums were analyzed for complete blood count parameters, lipid profile, and C-reactive protein (CRP). Based on the laboratory test results, Monocyte/HDL-C and CRP/HDL-C ratios were calculated and analyzed. The receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine prognostic accuracy. Monocyte/HDL-C ratio and CRP/HDL-C ratio were significantly higher in MetS-T2DM2 than in nonMetS-T2DM (p=0.003 and p=0.029, respectively). The results of ROC curve analysis have shown that the CRP/HDL-C ratio (AUC of 0.695) and Monocytes/HDL-C ratio (AUC of 0.645) can serve as good predictors of MetS in T2DM patients. This study confirms the reliability of the Monocytes/HDL-C and CRP/HDL-C ratios as novel, simple, low-cost, and valuable predictors of MetS development in T2DM.

Obesity: An important predictor of metabolic syndrome

Background/Aim: The leading avoidable cause of mortality in the world is obesity. It modifies how the body reacts to insulin, which might result in insulin resistance and an elevated risk of type 2 diabetes. Recent investigations have revealed a link between obesity and the metabolic syndrome. Therefore, it was intended for the current study to look at the prevalence of obesity and how it relates to the metabolic syndrome. Methods: 120 healthy males between 30-50 years of age were chosen from the general population of Kota District, Rajasthan, India and screened for obesity and divided in three groups: normal, overweight and obese. Each group comprised of forty subject. Serum was separated and run in department of biochemistry , GMC Kota. Anthropometric parameters were taken. The completely automated analyser ERBA EM 360 performed lipid profile and blood sugar analyses on serum. Result: Obesity increased metabolic syndrome prevalence. In comparison to overweight and normal weight people, obese subjects exhibited considerably lower levels of high-density lipoprotein (HDL) cholesterol and significantly higher levels of blood glucose, triglycerides, total cholesterol and low-density lipoprotein (LDL) cholesterol. Additional coronary artery disease (CAD) risk prediction ratios, such as total cholesterol/HDL, LDL/HDL and triglycerides/ HDL ratios that have gradually increased from the normal to obese group, show that obese subjects have a relatively higher risk of developing cardiovascular diseases (CVD) than do those in the overweight and normal groups. Conclusion: One of the key elements of metabolic syndrome, which is a collection of clinical and metabolic anomalies including abdominal obesity, insulin resistance, hypertension and dyslipidaemia, is obesity. Each of these conditions raises the risk of CVD and diabetes mellitus type 2 directly. The progression towards diabetes and CVD can be prevented by lifestyle modification programmes and regular health checks (to explore the risk factors of metabolic syndrome).

Omentin as an Independent Predictor of Metabolic Syndrome and Obesity Among Adolescents in Northeast China.

We investigated the association of omentin with metabolic syndrome (MetS), MetS components, and obesity in adolescents. A total of 742 middle-school students from Liaoyang City were enrolled in this cross-sectional study using the stratified cluster sampling method. Clinical information and blood samples were collected, and serum omentin levels were measured using enzyme-linked immunosorbent assay. Mean plasma omentin levels were lower in male than in female participants (88.25 (interquartile range 63.02-133.61) vs 99.46 (interquartile range 69.08-188.35) ng/L, P = 0.004). The participants were divided into four groups according to the quartile (Q) values of omentin from low to high. With increasing omentin levels from Q1 to Q4, the age of adolescents and the proportion of males gradually increased (P < 0.05), whereas the body mass index (BMI) (P < 0.05) and prevalence of MetS (P > 0.05) tended to decrease. Omentin levels were significantly and negatively correlated with waist circumference and BMI (correlation coefficients of -0.099 and -0.115, respectively). Regression analysis showed that omentin level was independently associated with the risk of MetS (Odds ratio, OR = 0.639, 95% confidence interval, CI (0.432, 0.945)), which was attributed to the association with central obesity (OR = 0.775, 95% CI (0.605, 0.993)) among MetS components. Increased omentin levels also indicated a reduced risk of obesity (OR = 0.700, 95% CI (0.563, 0.870)). Omentin is an independent predictor of MetS and obesity among adolescents in northeast China.

Triglyceride-to-High-Density-Lipoprotein-Cholesterol Ratio as a Predictor of Metabolic Syndrome According to Stage of Life at Obesity Onset in Women with Severe Obesity—A Pilot Study

The triglyceride-to-high-density lipoprotein-cholesterol (TG/HDL-c) ratio is a simple but effective indicator of metabolic imbalance that characterizes metabolic syndrome (MetS) and can consequently indicate a higher cardiovascular risk. It may, therefore, be useful in identifying a high risk for cardiometabolic diseases according to the onset of obesity. The aim of this study was to evaluate the association between MetS and the stage of life at obesity onset and to establish the cutoff point for the TG/HDL-c ratio as a marker of MetS in women with severe obesity. Forty-seven women who were to undergo bariatric surgery were evaluated. Anthropometric and metabolic parameters were measured, and the TG/HDL-c ratio was calculated. The volunteers were grouped according to their stage of life at obesity onset. A receiver operating characteristic (ROC) curve was constructed to define cutoff points for the TG/HDL-c ratio as predictors of MetS. Women who developed obesity early (during infancy/adolescence) had higher weight (p = 0.008), body mass index (p = 0.031), and hip circumference (p = 0.036) than those who developed obesity later (in adulthood); however, no association was found between obesity onset and MetS. The cutoff points for the TG/HDL-c ratio that were established for those who developed early or late obesity were 2.30 and 2.19, respectively. Although the stage of life at the onset of obesity was not related to MetS, different cutoff points for the TG/HDL-c ratio were observed.

Abstract 15367: Depression Symptom Patterns as Predictors of Metabolic Syndrome and Cardiac Events in Symptomatic Women With Suspected Myocardial Ischemia: The Women’s Ischemia Syndrome Evaluation (WISE &amp; WISE-CVD) Projects

Introduction: Ischemic Heart Disease (IHD) risk in women includes biomedical, behavioral, and psychosocial contributors. Among psychosocial contributors, recent studies suggest that depression, especially somatic symptoms of depression such as anhedonia and low energy, may play a disproportionate role in the development of both IHD risk factors and major adverse cardiovascular events (MACE). Methods: We examined relationships between cognitive/somatic symptoms of depression and metabolic syndrome (MetS) in two independent cohorts of women with suspected IHD. In the Women’s Ischemia Syndrome Evaluation (WISE, NCT00000554), we also examined depression and MetS as predictors of all-cause mortality and MACE over a median 9.3-year follow-up. The sample from WISE included 641 women with suspected ischemia with or without obstructive coronary artery disease (CAD). The WISE-Coronary Vascular Dysfunction (WISE-CVD, NCT00832702) consisted of 359 women with suspected ischemia and no obstructive CAD (INOCA). Somatic, cognitive, and total depressive symptoms were measured via the Beck Depression Inventory (BDI). MetS was assessed according to the AHA’s ATP-III criteria. Results: (See attached table) In both the WISE and WISE-CVD samples, somatic symptoms of depression were associated with MetS diagnosis and MetS severity, while cognitive symptoms were not. Within the WISE sample, using Cox Proportional Hazard Regression, both somatic symptoms and MetS diagnosis were significant predictors of all-cause mortality and MACE, while cognitive symptoms were not. Conclusions: In two independent samples of women undergoing coronary angiography for suspected myocardial ischemia, somatic symptoms of depression were uniquely associated with both MetS and all-cause mortality and MACE, and both somatic symptoms of depression and MetS independently predicted all-cause mortality and MACE.

Depression Symptom Patterns as Predictors of Metabolic Syndrome and Cardiac Events in Symptomatic Women with Suspected Myocardial Ischemia

Background: Ischemic heart disease (IHD) risk in women includes biomedical, behavioral, and psychosocial contributors. The purpose of this study was to build upon previous research suggesting that in women, somatic symptoms (SS) of depression may be important to the development of IHD risk factors and major adverse cardiovascular events (MACE). Based on previous findings, we hypothesized that: (1) SS would be associated with robust biomedical predictors of heart disease and functional capacity, while cognitive symptoms (CS) of depression would not, and (2) SS would independently predict adverse health outcomes while CS would not. Methods: We examined the relationships between symptoms of depression (SS/CS), metabolic syndrome (MetS), inflammatory markers (IM), coronary artery disease (CAD) severity, and functional capacity in two independent cohorts of women with suspected IHD. In the Women's Ischemia Syndrome Evaluation (WISE), we also examined these variables as predictors of all-cause mortality (ACM) + MACE over a median 9.3-year follow-up. The WISE sample included 641 women with suspected ischemia with or without obstructive CAD. The WISE-Coronary Vascular Dysfunction (WISE-CVD) sample consisted of 359 women with suspected ischemia and no obstructive CAD. All study measures were collected uniformly at baseline. Depressive symptoms were measured via the Beck Depression Inventory. MetS was assessed according to Adult Treatment Panel III (ATP-III) criteria. Results: In both studies, SS was associated with MetS (Cohen's d = 0.18, 0.26, P &lt; 0.05, respectively), while CS was not. Within WISE, using Cox Proportional Hazard Regression, SS (Hazard ratio [HR] = 1.08, 95% confidence interval [CI] = 1.01–1.15; HR = 1.07, 95% CI = 1.00–1.13) and MetS (HR = 1.89, 95% CI = 1.16–3.08; HR = 1.74, 95% CI=1.07–2.84) were independent predictors of ACM + MACE after controlling for demographics, IM, and CAD severity, while CS was not. Conclusions: In two independent samples of women undergoing coronary angiography due to suspected ischemia, SS but not CS of depression were associated with MetS, and both SS and MetS independently predicted ACM and MACE. These results add to previous studies suggesting that SS of depression may warrant specific attention in women with elevated cardiovascular disease (CVD) risk. Future research evaluating the biobehavioral basis of the relationship between depression, MetS, and CVD is needed.

Fat to lean mass ratio in spinal cord injury: Possible interplay of components of body composition that may instigate systemic inflammation and metabolic syndrome

Objective To investigate the relationships between percentage fat mass (%FM), percentage lean mass (%LM), and the ratio of %FM to %LM with pro-inflammatory adipokines and metabolic syndrome in individuals with chronic spinal cord injury (SCI). Design Observational, cross-sectional. Linear and logistic regression were used to examine the associations between the %FM, %LM, and the %FM to %LM ratio with inflammatory markers and metabolic syndrome, respectively. Participants Seventy chronic SCI men and women. Main Outcome Measures %FM, %LM, %FM to %LM ratio; fasting lipids, glucose, and tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), and high-sensitivity c-reactive protein (hs-CRP); metabolic syndrome as determined by The International Diabetes Federation criteria. Results There were significant correlations between %FM, %LM and the %FM to %LM ratio with hs-CRP. The %LM beta coefficient value was negative and greater than the beta coefficient value for %FM. The %FM to %LM ratio had the strongest correlation with hs-CRP and showed the only significant relationship with IL-6. There were strong significant correlations between %FM, %LM and the %FM to %LM ratio with metabolic syndrome. However, the %FM to %LM ratio, again, showed the strongest relationship indicating that it may be the best predictor of metabolic syndrome. Conclusion Both higher %FM and lower %LM affect cardiometabolic health and can be used as predictors for metabolic syndrome. However, the %FM to %LM ratio was the best predictor of systemic inflammation and cardiometabolic disorders in this group of SCI participants, suggesting that they both contribute to the statistical model.

Metabolic syndrome predictors of brain gray matter volume in an age-stratified community sample of 776 Mexican- American adults: Results from the genetics of brain structure image archive.

IntroductionThis project aimed to investigate the association between biometric components of metabolic syndrome (MetS) with gray matter volume (GMV) obtained with magnetic resonance imaging (MRI) from a large cohort of community-based adults (n = 776) subdivided by age and sex and employing brain regions of interest defined previously as the “Neural Signature of MetS” (NS-MetS).MethodsLipid profiles, biometrics, and regional brain GMV were obtained from the Genetics of Brain Structure (GOBS) image archive. Participants underwent T1-weighted MR imaging. MetS components (waist circumference, fasting plasma glucose, triglycerides, HDL cholesterol, and blood pressure) were defined using the National Cholesterol Education Program Adult Treatment Panel III. Subjects were grouped by age: early adult (18–25 years), young adult (26–45 years), and middle-aged adult (46–65 years). Linear regression modeling was used to investigate associations between MetS components and GMV in five brain regions comprising the NS-MetS: cerebellum, brainstem, orbitofrontal cortex, right insular/limbic cluster and caudate.ResultsIn both men and women of each age group, waist circumference was the single component most strongly correlated with decreased GMV across all NS-MetS regions. The brain region most strongly correlated to all MetS components was the posterior cerebellum.ConclusionThe posterior cerebellum emerged as the region most significantly associated with MetS individual components, as the only region to show decreased GMV in young adults, and the region with the greatest variance between men and women. We propose that future studies investigating neurological effects of MetS and its comorbidities—namely diabetes and obesity—should consider the NS-MetS and the differential effects of age and sex.

3-year incidence and predictors of metabolic syndrome in schizophrenia in the national FACE-SZ cohort

AimsMetabolic Syndrome (MetS) is a major health epidemic of Western countries and patients with schizophrenia is a particularly vulnerable population due to lifestyle, mental illness and treatment factors. However, we lack prospective data to guide prevention. The aim of our study is then to determine MetS incidence and predictors in schizophrenia. MethodParticipants were recruited in 10 expert centers at a national level and followed-up for 3 years. MetS was defined according to the International Diabetes Federation criteria. Inverse probability weighting methods were used to correct for attrition bias. ResultsAmong the 512 participants followed-up for 3 years, 77.9% had at least one metabolic disturbance. 27.5% were identified with MetS at baseline and excluded from the analyses. Among the rest of participants (N = 371, mean aged 31.2 (SD = 9.1) years, with mean illness duration of 10.0 (SD = 7.6) years and 273 (73.6%) men), MetS incidence was 20.8% at 3 years and raised to 23.6% in tobacco smokers, 29.4% in participants receiving antidepressant prescription at baseline and 42.0% for those with 2 disturbed metabolic disturbances at baseline. Our multivariate analyses confirmed tobacco smoking and antidepressant consumption as independent predictors of MetS onset (adjusted odds ratios (aOR) = 3.82 [1.27–11.45], p = 0.016, and aOR = 3.50 [1.26–9.70], p = 0.0158). Antidepressant prescription predicted more specifically increased lipid disturbances and paroxetine was associated with the highest risk of MetS onset. ConclusionThese results are an alarm call to prioritize MetS prevention and research in schizophrenia. We have listed interventions that should be actively promoted in clinical practice.

Estimation of some biomarkers in obese men and their adoption as early risk predictors of metabolic syndrome

This study aimed to estimate the levels of the biomarkers ADP, IL-6, IGF-1 and MCP-1 in the serum of obese men and adopt them as early predictors of the occurrence of metabolic syndrome. A total of (88) samples from men, (and 60) samples from obese men, were divided according to body mass index (BMI) and waist circumference (WC) into two groups. The first group had BMI values between 35-40 kg/m2 and WC 110-125 cm., while the 2nd group had BMI &gt;40 kg/m2 and WC &gt;125 cm. A (28) samples were collected from healthy, with BMI values between 18.5-24.5 kg/m2 and WC was &lt; 102 cm. The results show that there is a significant increase level IL-6 at P ≤ 0.01 in the obese group compared with the healthy, and it was significantly higher in the group with WC &gt; 125 cm. There was a significant decrease in the concentration biomarker IGF-1 in the obesity group, and it was significantly higher in the BMI ≥40 and WC 110-125 cm groups.

P8.147: Predictors of Metabolic Syndrome Following One-Year Post Kidney Transplantation Among Vietnamese Patients

P8.147: Predictors of Metabolic Syndrome Following One-Year Post Kidney Transplantation Among Vietnamese Patients

The Circadian Axis and Cardiometabolic Syndrome

Abstract Circadian rhythm refers to the daily physiologically fluctuating patterns of systemic processes that occur within a circa 24-hour timeframe, independently of external factors. There is evidence that in time, external and internal cycle misalignment leads to severe health consequences, resulting in the development of cardiometabolic disturbances. Desynchronized hormonal fluctuations along with daily specific macronutrient utilization patterns are also discussed, which by consequence, are all predictors of metabolic syndrome. The aim of this paper is to provide insight on the circadian clock’s organization throughout the human body and to explain the underlying genetic background. By understanding these well-established molecular mechanisms and processes, we believe this paper will provide accuracy regarding the importance of the circadian clock’s integrity and will highlight its role in the etiopathology of cardiometabolic syndrome.

Sleeping duration, physical activity, alcohol drinking and other risk factors as potential attributes of metabolic syndrome in adults in Ethiopia: A hospital-based cross-sectional study.

Available evidence showed that metabolic syndrome in the adult population is persistently elevated due to nutrition transition, genetic predisposition, individual-related lifestyle factors, and other environmental risks. However, in developing nations, the burden and scientific evidence on the pattern, and risk exposures for the development of the metabolic syndrome were not adequately investigated. Thus, the study aimed to measure the prevalence of metabolic syndrome and to identify specific risk factors among adult populations who visited Dessie Comprehensive Specialized Hospital, Ethiopia. A hospital-based cross-sectional study was conducted among randomly selected 419 adults attending Dessie Comprehensive Specialized Hospital from January 25 to February 29, 2020. We used the WHO STEP-wise approach for non-communicable disease surveillance to assess participants' disease condition. Metabolic syndrome was measured using the harmonized criteria recommended by the International Diabetes Federation Task Force in 2009. Data were explored for missing values, outliers and multicollinearity before presenting the summary statistics and regression results. Multivariable logistic regression was used to disentangle statistically significant predictors of metabolic syndrome expressed using an odds ratio with a 95% of uncertainty interval. All statistical tests were managed using SPSS version 26. A non-linear dose-response analysis was performed to show the relationships between metabolic syndromes with potential risk factors. The overall prevalence of metabolic syndrome among adults was 35.0% (95% CI, (30.5, 39.8)). Women were more affected than men (i.e. 40.3% vs 29.4%). After adjusting for other variables, being female [OR = 1.85; 95% CI (1.01, 3.38)], urban residence [OR = 1.94; 95% CI (1.08, 3.24)], increased age [OR = 18.23; 95% CI (6.66, 49.84)], shorter sleeping durations [OR = 4.62; 95% CI (1.02, 20.98)], sedentary behaviour [OR = 4.05; 95% CI (1.80, 9.11)], obesity [OR = 3.14; 95% CI (1.20, 8.18)] and alcohol drinking [OR = 2.85; 95% CI (1.27,6.39)] were positively associated with the adult metabolic syndrome. Whilst have no formal education [OR = 0.30; 95% CI (0.12, 0.74)] was negatively associated with metabolic syndrome. The prevalence of adult metabolic syndrome is found to be high. Metabolic syndrome has linear relationships with BMI, physical activity, sleep duration, and level of education. The demographic and behavioural factors are strongly related with the risk of metabolic syndrome. Since most of the factors are modifiable, there should be urgent large-scale community intervention programs focusing on increased physical activity, healthy sleep, weight management, minimize behavioural risk factors, and healthier food interventions targeting a lifecycle approach. The existing policy should be evaluated whether due attention has given to prevention strategies of NCDs.

Determinants of Metabolic Syndrome Among People With Substance Abuse: A Cross-Sectional Study From North India.

Objective: To estimate the prevalence and predictors of metabolic syndrome among substance users in North India. Methods: A total of 302 participants with a history of substance use (per ICD-10 code) visiting either medicine or psychiatry outpatient departments and referred to a deaddiction center in the psychiatry department of a tertiary care hospital were enrolled. The cross-sectional study was conducted over 6 months between September 2019 and February 2020. Information regarding sociodemographic profiles was collected. Weight, height, waist circumference, hip circumference, and blood pressure were measured. A fasting venous blood sample was collected to measure blood glucose; triglycerides; high-density, low-density (LDL), and very low-density lipoprotein (VLDL) levels; and other blood parameters. The International Diabetes Federation criterion was used to define metabolic syndrome. Descriptive analysis was performed, and multiple logistic regression was used. Results: The mean ± SD age of the study participants was 37.1 ± 11.4 years, and the majority were males (n = 299, 99.0%). The prevalence of metabolic syndrome among substance users was 16.9% (n = 51). Mean age, age of initiation, weight, body mass index (BMI), hip circumference, total cholesterol, LDL, and VLDL were significantly higher (all P < .05) among study participants with metabolic syndrome than among those without. On multivariable regression analysis, professional employment, high BMI, high hip circumference, and elevated VLDL were predictors of metabolic syndrome among substance users. Conclusions: Coexisting substance use and metabolic syndrome is a public health concern considering the large number of people who are substance users. It is essential to screen such patients regularly for cardio-vasculo-metabolic disorders to prevent further morbidity and mortality.

Prevalence of Metabolic Syndrome and its Associated Risk Factors in Pediatric Obesity.

ObjectiveWe aimed to study the prevalence of metabolic syndrome (MetS) and the factors associated with metabolic syndrome among obese children.MethodologyWe recruited 175 subjects, aged 7 to 18 years old, referred for obesity. We studied their demography (age, gender, ethnicity, family background), performed clinical/auxological examinations [weight, height, body mass index (BMI), waist circumference (WC), blood pressure (BP)], and analyzed their biochemical risks associated with metabolic syndrome [fasting plasma glucose (FPG), fasting lipid profile (FLP), fasting insulin, liver function tests (LFT)]. MetS was identified according to the criteria proposed by the International Diabetes Federation (IDF) for pediatric obesity. Multiple logistic regression models were used to examine the associations between risk variables and MetS.ResultsThe prevalence of metabolic syndrome among children with obesity was 56% (95% CI: 48.6 to 63.4%), with a mean age of 11.3 ± 2.73 years. Multiple logistic regression analysis showed age [adjusted odds ratio (OR) 1.27, 95% CI: 1.15 to 1.45] and sedentary lifestyle (adjusted OR 3.57, 95% CI: 1.48 to 8.59) were the significant factors associated with metabolic syndrome among obese children.ConclusionThe prevalence of metabolic syndrome among obese children referred to our centers was 56%. Older age group, male gender, birth weight, sedentary lifestyle, puberty and maternal history of gestational diabetes mellitus (GDM) were found to be associated with MetS. However, older age group and sedentary lifestyle were the only significant predictors for metabolic syndrome.

Frequency of Metabolic Syndrome and Study of Anthropometric, Clinical and Biological Characteristics in Peri- and Postmenopausal Women in the City of Ksar El Kebir (Northern Morocco).

This study aimed to determine the frequency of metabolic syndrome and to identify its predictive factors in peri- and post-menopausal women in the city of Ksar El Kebir, in northern Morocco. A total of 373 peri- and post-menopausal women between 45 and 64 years old participated in the study. Metabolic syndrome was diagnosed according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) definition. Body mass index (BMI) was calculated to assess the degree of obesity in women; anthropometric, clinical and biological parameters were collected during interviews. The mean ages of peri- and postmenopausal women were 48.84 ± 2.4 years and 56.65 ± 4.29 years, respectively. Postmenopausal women had higher means of anthropometric and biological parameters than peri-menopausal women. We also noted a predominance of metabolic syndrome in postmenopausal women (n = 158) compared to peri-menopausal women (n = 81). Waist circumference was the predominant marker in the subjects studied, whereas triglycerides were the lower marker. In the overall population, the incidence of metabolic syndrome and its associated factors were higher in postmenopausal women than in peri-menopausal women, from which it can be concluded that post menopause may be a predictor of metabolic syndrome.

TG/HDL-C ratio as a predictor of stroke in the population with healthy BMI: The Jichi Medical School Cohort Study

Background and aimsThe triglycerides-to-high-density lipoprotein cholesterol ratio (TG/HDL-C) is a predictor of metabolic syndrome and cardiovascular disease onset. However, the relationship between TG/HDL-C and stroke has not been established. This study examined whether TG/HDL-C helps in predicting stroke onset; this was compared between the whole population and healthy body mass index (BMI) population. Methods and resultsThe Jichi Medical School Cohort Study is a prospective cohort study involving baseline data collected in 12 Japanese districts between April 1992 and July 1995. We used data from 11,699 participants; participants with a healthy BMI (20.0–24.9 kg/m2) were grouped into sex-specific TG/HDL-C quartiles. Using the first quartile groups as references, the hazard ratios (HRs) and 95% confidence intervals (CIs) of the Cox proportional hazards model were calculated. During the mean 10.8 years of follow-up, 419 new stroke events were recorded. The multivariable-adjusted HRs (95% CIs) in the fourth quartile of the whole population were 1.28 (0.94–1.75), 1.78 (0.91–3.48), 1.20 (0.82–1.77), and 1.13 (0.50–2.54), as compared to those in the fourth quartile of the healthy BMI population, which were 1.87 (1.24–2.83), 3.06 (1.21–7.74), 1.79 (1.05–3.05), and 1.29 (0.49–3.41) for all patients with all stroke, intracerebral hemorrhage, cerebral infarction, and subarachnoid hemorrhage, respectively. ConclusionIncreased TG/HDL-C correlated with a significant increase in stroke risk only in the healthy BMI population and not the whole population. Furthermore, it was primarily associated with increased intracerebral hemorrhage and cerebral infarction risk.

Metabolic Syndrome Predictors among Shift Workers of Zagazig Central Railway Station: A Case-Control Study

Metabolic Syndrome Predictors among Shift Workers of Zagazig Central Railway Station: A Case-Control Study

Self-rated health may be a predictor for metabolic syndrome and high hs-CRP prevalences in healthy adults in South Korea: Based on the 2015 Korea National Health and Nutrition Examination Survey

Self-rated health (SRH), affected by sociodemographic and health-related behavioral factors, is related to metabolic syndrome (MetS) and high-sensitivity C-reactive protein (hs-CRP) levels. We hypothesized that SRH would have an independent effect on MetS and high hs-CRP incidence in healthy adults after adjusting for sociodemographic and health-related behavioral confounding factors. Data of 1545 healthy participants (aged 19-65 years; 654 men), selected from the 2015 Korean National Health and Nutritional Examination Survey, were cross-sectionally analyzed. The SRH levels significantly increased with higher income (P < .05) and educational levels (P < .01) and were associated with sex, job, marital status, smoking, physical activity, perceived body image, and weight change (all P < .05). The percentage of participants with “very high or high” perceived stress were significantly lower in the “very healthy” group (18.5%) than in the “unhealthy” group (49.7%). Dietary protein, calcium, and phosphorus intakes were significantly higher with better SRH levels. MetS prevalence was related to sex, educational level, job, marital status, smoking, high-intensity exercise, and aerobic exercise (all P < .05), with a 2.776 times higher risk in the “unhealthy” than in the “very healthy” group after adjusting for these confounders. High hs-CRP levels were related to marital status, smoking, weekly walking, and aerobic exercise (all P < .05), with its risk being 2.093 times higher in the “unhealthy” than in the “very healthy” group after adjusting for these confounders. Thus, SRH may be an independent predictor of MetS and high hs-CRP levels and could be used for the development of a health promotion program in healthy adults.