Clustering Of Metabolic Risk Factors Research Articles

The Association Between Obesity Measures and Metabolic Syndrome Risk in Korean Adolescents Aged 10-18 Years.

Childhood obesity is strongly linked to an increased risk of metabolic syndrome (MetS), type 2 diabetes, and cardiovascular disease in adulthood, endangering the global healthcare system. No single tool for detecting MetS is suitable for all pediatric populations. This study aimed to investigate the association between obesity measures and MetS in Korean children and adolescents. The data were obtained from 1663 children and adolescents aged 10-19 years (771 girls) who participated in the Fourth and Fifth Korea National Health and Nutrition Examination Surveys. Body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHtR) were included as obesity measures. Fasting blood glucose, triglycerides, high-density lipoprotein cholesterol, and resting blood pressure were included as metabolic risk factors. MetS was defined as the clustering of metabolic risk factors such as elevated fasting blood glucose, elevated mean arterial pressure, elevated triglycerides, and low high-density lipoprotein cholesterol. Regardless of the obesity measures used, obese children and adolescents were more likely to have a clustering of metabolic risk factors compared to their non-obese counterparts: BMI-based obesity (odds ratio, OR=4.151, 95% confidence interval, CI=2.763~6.238, p<0.001), WC-based obesity (OR=1.917, 95% CI=1.066~3.446, p=0.010), and WHtR-based obesity (OR=2.160 and 95% CI=1.203~3.878, p=0.003). A receiver operating curve analysis showed that BMI (area under the curve, AUC=0.849, 95% CI=0.8270.871) outperformed WC (AUC=0.833, 95% CI=0.8090.856) and WHtR (AUC=0.794, 95% CI=0.7670.821) in detecting the presence of MetS. Study findings suggest that obese teenagers are more likely to have metabolic syndrome than non-obese teens. Concerning accuracy, convenience, and ease of use and calculation, BMI is the best screening tool for detecting MetS in Korean children and adolescents.

Metabolic syndrome risk in adult coffee drinkers with the rs301 variant of the LPL gene

BackgroundMetabolic syndrome (MetS), a cluster of metabolic and cardiovascular risk factors is influenced by environmental, lifestyle, and genetic factors. We explored whether coffee consumption and the rs301 variant of the lipoprotein lipase (LPL) gene are related to MetS.MethodsWe conducted multiple logistic regression analyses using data gathered from 9523 subjects in Taiwan Biobank (TWB).ResultsOur findings indicated that individuals who consumed coffee had a reduced odds ratio (OR) for MetS (0.750 (95% confidence interval [CI] 0.653–0.861) compared to non-coffee drinkers. Additionally, the risk of MetS was lower for individuals with the ‘TC’ and ‘CC’ genotypes of rs301 compared to those with the ‘TT’ genotype. Specifically, the OR for MetS was 0.827 (95% CI 0.721–0.949) for the ‘TC’ genotype and 0.848 (95% CI 0.610–1.177) for the ‘CC’ genotype. We observed an interaction between coffee consumption and the rs301 variant, with a p-value for the interaction of 0.0437. Compared to the reference group (‘no coffee drinking/TT’), the ORs for MetS were 0.836 (95% CI 0.706–0.992) for ‘coffee drinking/TT’, 0.557 (95% CI 0.438–0.707) for ‘coffee drinking/TC’, and 0.544 (95% CI 0.319–0.927) for ‘coffee drinking/CC’. Notably, MetS was not observed in non-coffee drinkers regardless of their rs301 genotype.ConclusionOur findings suggest that rs301 genotypes may protect against MetS in Taiwanese adults who consume coffee compared to non-coffee drinkers.

Ceramides and metabolic profiles of patients with acute coronary disease: a cross-sectional study.

Metabolic Syndrome (MS) is a rapidly growing medical problem worldwide and is characterized by a cluster of age-related metabolic risk factors. The presence of MS increases the likelihood of developing atherosclerosis and significantly raises the morbidity/mortality rate of acute coronary syndrome (ACS) patients. Early detection of MS is crucial, and biomarkers, particularly blood-based, play a vital role in this process. This cross-sectional study focused on the investigation of certain plasma ceramides (Cer14:0, Cer16:0, Cer18:0, Cer20:0, Cer22:0, and Cer24:1) as potential blood biomarkers for MS due to their previously documented dysregulated function in MS patients. A total of 695 ACS patients were enrolled, with 286 diagnosed with MS (ACS-MS) and 409 without MS (ACS-nonMS) serving as the control group. Plasma ceramide concentrations were measured by LC-MS/MS assay and analyzed through various statistical methods. The results revealed that Cer18:0, Cer20:0, Cer22:0, and Cer24:1 were significantly correlated with the presence of MS risk factors. Upon further examination, Cer18:0 emerged as a promising biomarker for early MS detection and risk stratification, as its plasma concentration showed a significant sensitivity to minor changes in MS risk status in participants. This cross-sectional observational study was a secondary analysis of a multicenter prospective observational cohort study (Chinese Clinical Trial Registry, https://www.who.int/clinical-trials-registry-platform/network/primary-registries/chinese-clinical-trial-registry-(chictr), ChiCTR-2200056697), conducted from April 2021 to August 2022.

A Comprehensive Overview of Agni in Dyslipidemia

The whole philosophy of Ayurveda is based on achieving, maintaining and promoting positive health. The equilibrium of various structural and functional units of the body named as Dosha, Dhatu, Mala, Agni and more important the mind results in health and disequilibrium causes disease. This era is of industrialization, stress during the work, dietary habits, lack of exercise and various varieties among the daily diet results into the disturbance of Agni or metabolism and ultimately leads to clinical entity known as Dyslipidemia. Dyslipidemia is not a single but a range of disorders with a variety of genetic and environmental determinants. It is a condition in which the levels of lipoproteins; that is; cholesterol, triglycerides or both are altered in plasma. A cluster of other metabolic risk factors are found with the dyslipidemia including obesity, glucose intolerance, insulin resistance and hypertension. Agni is responsible for all the metabolic activities of body. As per modern medicine the dyslipidemia is mainly because of the disturbances in the metabolism. Agni is involved in the metabolism at macro and micro circulation of body on the some way or the other.&#x0D; Many theories have been put forward with many new hypotheses describing this disorder in Ayurveda as well as in modern science; still there is enough scope to work out on its aetiopathology and management aspects; as in modern science its management aspect remains symptomatic with troublesome side effects. Until pathology is clear, treatment part remains difficult. Hence the management of this disease is merely insufficient in other systems of medicine and patients are continuously looking with a hope towards Ayurveda to overcome this challenge.

Clustering of metabolic and behavioural risk factors for cardiovascular diseases among the adult population in South and Southeast Asia: findings from WHO STEPS data.

The aim of this study is to assess the current status of metabolic and behavioural risk factors for cardiovascular diseases among the adult population in South and Southeast Asia using World Health Organization (WHO) STEPS data. We used WHO STEPS surveys data in ten South and Southeast Asian countries. Weighted mean estimates of prevalence of five metabolic risk factors and four behavioural risk factors were calculated by country and overall region. We used random-effects meta-analysis to generate country and regional pooled estimates of metabolic and behavioural risk factors, using the DerSimonian and Laird inverse-variance method. Around 48,434 participants aged 18-69 years were included in this study. Overall 32.00% (95% CI: 31.15-32.36) of individuals in the pooled sample had one metabolic risk factor, 22.10% (95% CI: 21.73-22.47) had two, and 12.38% had three or more (95% CI: 9.09-14.00). Twenty-four percent (95% CI: 20.00-29.00) of individuals in the pooled sample had only one behavioural risk factor, 49.00% (95% CI: 42.00-56.00) had two, and 22.00% had three or more (95% CI: 16.00-29.00). Risk of high three or more metabolic risk factors was higher among women, those of older age, and those with a higher education. The existence of multiple metabolic and behavioural risk factors among the South and Southeast Asian population demand appropriate prevention strategies to halt the progress of non-communicable disease burden within the region. Not applicable.

Legume - an inconspicuous fighter against the metabolic syndrome

Metabolic syndrome (MetS) is metabolic alterations characterised by dysglycemia, raised blood pressure, elevated triglyceride levels, low high-density lipoprotein cholesterol levels, and obesity. It is associated with high morbidity and mortality and the prevalence of it has been increasing in recent years. A significant impact on the risk to develop MetS has dietary habits. Many studies emphasise legume consumption advantages contributing to a decrease of a cluster of metabolic risk factors. The most effective range daily legume consumption is between 55 and 70 g/day. Some varieties of legumes can reform blood pressure by ACE inhibitory activity. Soybean protein hydrolysis showed an advantageous effect on lipid profile by HMGCR inhibitory activity. Legume intake seems to be a valuable predictor of decreasing BMI and abdominal adiposity because of high fibre levels and regulation of adiponectin and 8-epi-PGF2α in obese subjects. Increasing part of legumes as a protein and carbohydrates source in diet, significantly reduces the risk of glucose-insulin homeostasis disorders. Evidently, legumes have comprehensive dietary advantages. However more data and further research on the long-term effects of legumes on metabolic alterations are required to elucidate their effective health implications. Present review is based on articles accessible on pubmed service.

Nutrients, Physical Activity, and Mitochondrial Dysfunction in the Setting of Metabolic Syndrome.

Metabolic syndrome (MetS) is a cluster of metabolic risk factors for diabetes, coronary heart disease, non-alcoholic fatty liver disease, and some tumors. It includes insulin resistance, visceral adiposity, hypertension, and dyslipidemia. MetS is primarily linked to lipotoxicity, with ectopic fat deposition from fat storage exhaustion, more than obesity per se. Excessive intake of long-chain saturated fatty acid and sugar closely relates to lipotoxicity and MetS through several pathways, including toll-like receptor 4 activation, peroxisome proliferator-activated receptor-gamma regulation (PPARγ), sphingolipids remodeling, and protein kinase C activation. These mechanisms prompt mitochondrial dysfunction, which plays a key role in disrupting the metabolism of fatty acids and proteins and in developing insulin resistance. By contrast, the intake of monounsaturated, polyunsaturated, and medium-chain saturated (low-dose) fatty acids, as well as plant-based proteins and whey protein, favors an improvement in sphingolipid composition and metabolic profile. Along with dietary modification, regular exercises including aerobic, resistance, or combined training can target sphingolipid metabolism and improve mitochondrial function and MetS components. This review aimed to summarize the main dietary and biochemical aspects related to the physiopathology of MetS and its implications for mitochondrial machinery while discussing the potential role of diet and exercise in counteracting this complex clustering of metabolic dysfunctions.

Identifying metabolic syndrome in migrant Asian Indian adults with anthropometric and visceral fat action points

BackgroundMetabolic syndrome (MetS) is a clustering of metabolic risk factors, including large waist circumference (WC). Other anthropometric parameters and visceral fat mass (VFM) predicted from these may improve MetS detection. Our aim was to assess the ability of such parameters to predict this clustering in a cross-sectional, diagnostic study.MethodParticipants were 82 males and 86 females, aged 20–74 years, of Asian Indian ethnicity. VFM was estimated by dual-energy X-ray absorptiometry (DXA) through identification of abdominal subcutaneous fat layer boundaries. Non-anthropometric metabolic risk factors (triglycerides, HDL cholesterol, blood pressure and glucose) were defined using MetS criteria. We estimated the ability of anthropometry and VFM to detect ≥ 2 of these factors by receiver operating characteristic (ROC) and precision-recall curves.ResultsTwo or more non-anthropometric metabolic risk factors were present in 45 (55%) males and 29 (34%) females. The area under the ROC curve (AUC) to predict ≥ 2 of these factors using WC was 0.67 (95% confidence interval: 0.55–0.79) in males and 0.65 (0.53–0.77) in females. Optimal WC cut-points were 92 cm for males (63% accuracy) and 79 cm for females (53% accuracy). VFM, DXA-measured sagittal diameter and suprailiac skinfold thickness yielded higher AUC point estimates (by up to 0.06), especially in females where these measures improved accuracy to 69%, 69% and 65%, respectively. Pairwise combinations that included WC further improved accuracy.ConclusionOur findings indicate that cut-points for readily obtained measures other than WC, or in combination with WC, may provide improved detection of MetS risk factor clusters.

Low diet quality is associated with adverse levels of metabolic health markers and clustering of risk factors in adults with type 2 diabetes.

Nutritional recommendations for diabetes management emphasise an overall, healthful diet consistent with the guidelines for the general population. The present study assessed the relationship of diet quality, as measured by Healthy Eating Index-2015 (HEI-2015), with metabolic health markers and risk factor clustering in type 2 diabetes patients using National Health and Nutrition Examination Survey 2011-2016 data. HEI-2015 diet quality scores were calculated using 24-h dietary recalls. Adults with type 2 diabetes (n = 2220) were assessed for: (1) hyperglycaemia; (2) overweight/obesity; (3) dyslipidaemia; and (4) hypertension. Logistic regression examined associations of diet quality quartiles with odds of hyperglycaemia, overweight/obesity, dyslipidaemia and hypertension, as well as odds of clustering of these risk factors. Odds of overweight/obesity and hyperglycaemia were significantly greater for participants in the lowest HEI-2015 quartile compared to those in the highest quartile. Furthermore, individuals in the bottom two HEI-2015 quartiles had increased odds of dyslipidaemia. Those in the lowest quartile also had significantly higher odds of having ≥ 2, ≥ 3 and 4 risk factors (vs. having ≤ 1 risk factor). Low diet quality was related to increased odds of hyperglycaemia, dyslipidaemia, overweight/obesity and risk factor clustering. Findings imply poorer prognosis of diabetes in individuals with low diet quality.

Metabolic syndrome; Definition, Pathogenesis, Elements, and the Effects of medicinal plants on it's elements.

Metabolic syndrome (MetS) is a cluster of metabolic risk factors thatinclude central obesity, hypertension, insulin resistance, and atherogenic dyslipidemiaand is strongly associated with a greater risk for developing cardiovascular diseaseand type 2 diabetes mellitus. A literature search was conducted using the words metabolic syndrome,definition and pathogenesis in Scopus, and PubMed. The search also extended tocover medicinal plants and their role as a potential treatment of the metabolicsyndrome. The search based on studies published in the English language from 1stof January 2000 to 30th of May 2021. The abstracts and the articles were thenscreened. Articles were scanned and read; further relevant references in the referencelists are also included. Both lifestyle factors and genetic factors are involved in the pathogenesis ofthe metabolic syndrome. Recently, MetS have gained significant attention due to thehigh prevalence of obesity worldwide. Diagnosis of patients with MetS is important toimprove the outcomes of the disease by employing lifestyle and risk factorsmodifications. Currently, there is a rising interest in medicinal plants and their extractsbecause the medicinal plants have minimal side effects. Here we review the history,definitions, pathogenesis, management of metabolic syndrome and summarize thebeneficial effects of some medicinal plants and their extracts on MetS. Further research and clinical studies are needed to establish whethermedicinal plants can be safely given as potential therapy for metabolic syndrome andwhether this can be beneficial in low resources setting countries.

Which Clusters of Metabolic Syndrome Are the Most Associated with Serum Uric Acid?

Background and Objectives: Metabolic syndrome is defined as three or more of five components; therefore, there are 16 possible different clusters of metabolic risk factors that are under one diagnosis of metabolic syndrome. In this study, we evaluated the different clusters of metabolic syndrome (MetS) across serum uric acid (SUA) quartiles and analyzed the association of these clusters with SUA levels, respectively, in both men and women. Materials and Methods: A total of 606 subjects were recruited to a cross-sectional study from the ongoing Lithuanian High Cardiovascular Risk primary prevention program (LitHiR). All of the study subjects were diagnosed with MetS (according to the 2005 National Cholesterol Education Program Adult Treatment Panel III MetS definition). Results: In the middle-aged population of patients with MetS living in Lithuania, a high proportion of hyperuricaemia was detected—35.5% (95% Cl 31.7% to 39.4%). For women possessing all five MetS components, the chances of having hyperuricaemia are 2.807 higher than for women with three risk factors (p < 0.001). However, men do not have a statistically significantly higher chance of having hyperuricaemia, depending on the number of MetS components in our population. Using multivariable models, the statistically significant chance of having hyperuricaemia was observed only in women possessing all five MetS components (OR = 2.386, p < 0.0001), compared to any other of 15 MetS clusters. After adjustment for age and sex, the chance of having hyperuricaemia for individuals with the cluster of all five MetS components, compared to any other of 15 MetS clusters, remained (OR = 1.982, p = 0.001). Also, a lower probability (OR = 0.653, p = 0.039) of having hyperuricaemia was observed for individuals having the combination of abnormal plasma glucose, blood pressure, and waist circumference. Conclusions: Patients with the clustering of all five metabolic syndrome components are at higher risk for having hyperuricaemia than patients with any other combination of MetS clusters. This risk is even higher for women. It could be beneficial for patients presented with all five MetS components to be screened for SUA concentration in the primary CVD prevention program.

Echocardiographic Evaluation of Diastolic Dysfunction among Menopausal Women: A Cross-sectional Study

Introduction: Heart Failure with Normal Ejection Fraction (HFNEF), also known as Diastolic Heart Failure (DHF), has been well-studied since the past two decades. The signs of HFNEF are signs of heart failure and abnormal ventricular filling pressure with normal systolic function. A Metabolic Syndrome (MS) is a clustering of metabolic risk factors. Cardiovascular disease caused by metabolic syndrome includes vascular and myocardial abnormalities such as diastolic dysfunction and relaxation abnormalities. Aim: To study the assosciation between the timing of menopause and Left Ventricular Diastolic Dysfunction (LVDD) in those with and without MS. Materials And Methods: This cross-sectional study was conducted in the period between December 2021 to June 2022 at the Department of Cardiology in A.C.S Medical College and Hospital, Chennai, Tamil Nadu, India. All female patients that underwent a medical examination were selected for the study. Postmenopausal women without overt heart diseases (such as a history of heart valve disease or myocardial infarction, or a prior LV ejection fraction &gt; 50%) were included. This study included 80 patients grouped into two: those with and without MS. The MS group included 30 subjects divided into two subgroups: those who experienced menopause at or before 50 years of age (early menopause group) and those who experienced menopause at or after 50 years of age (late menopause group). Out of 80, 50 participants were divided into early menopause and late menopause groups among women without MS. This study analyse the evolution of left ventricular diastolic dysfunction (LVDD), assessed by transthoracic echocardiography (TTE), in 80 postmenopausal women with and without MS. Independent t-tests was applied to assess the association between the timing of menopause and LVDD. Results: The mean age was 60±7.3 years in women with MS and 62±8.8 years in women without MS. There were no significant differences in the duration since menopause between the postmenopausal women with and without MS. No significant difference was found between the two groups (early vs. late menopause group) with respect to any diastolic parameter, including Early (E) and Late (A), E/A ratio, and E/e in women with MS. In postmenopausal women without MS, there was a significant difference in diastolic parameters including the A, early diastolic annular velocity (e’), ratio of early diastolic transmitral flow velocity to annular flow velocity was calculated (E/e’) between the two groups (early vs. late menopause group). In comparison to patients with MS, patients without the condition had significantly lower early peak mitral inflow velocity (E, p-value=0.019), early diastolic mitral annulus motion velocity (e’-septal, p-value=0.05), late peak mitral inflow velocity ratio (E/A, p-value=0.07), and LV filling pressure values (E/e, p-value=0.02). Conclusion: Early menopause impacts diastolic function in postmenopausal women and LVDD progression in women without MS. LVDD progression in women with MS was unaffected by early menopause.

Anxiety And Risk Of Cardiovascular Disease

Anxiety is a normal emotion that is owned by every individual. Pathologically increased anxiety can not only give rise to other anxiety disorders but can also lead to other mental illnesses. Anxiety is a type of mental disorder that is quite common in Europe, Switzerland, Iceland, Norway in 2010 it was found that the prevalence for 12 months was 14% and 61.5 million people were affected. According to WHO in the global population with anxiety disorders in 2015 the percentage was 3.6% and it was more common in women with a percentage of 4.6% compared to 2.6% for men. Individuals with symptoms of anxiety are likely to experience the effects of interference that can lead to metabolic syndrome. Metabolic syndrome leads to progressive and clustering of several metabolic risk factors that directly increase the risk of death from cardiovascular disease (CVD, type 2 diabetes mellitus). last year from 10% to 63.2%. Anxiety disorders appear to be caused by the interaction of bio-psychosocial factors. Genetic susceptibility interacts with stressful situations or the presence of trauma to produce a clinically significant syndrome. Treatment measures include pharmacological, psychological, and combination therapies. all are therapeutic measures for all anxiety disorders, selective serotonin is a first line agent for several anxiety disorders, including panic disorder, social anxiety, generalized anxiety disorder.Psychotherapy and pharmacotherapy should be given and both therapies are equally effective. The choice in determining the therapy given must be considered according to the severity of the disorder.

Prevalence of coronary calcium deposits in Sheehan's syndrome patients on long term replacement treatment.

Sheehan's Syndrome (SS) is one of the most important causes of hypopituitarism in developing countries with patients having varying degrees and severity of anterior pituitary hormone deficiency including growth hormone deficiency (GHD). SS is characterized by increased clustering of metabolic and proinflammatory risk factors predisposing them to increased cardiovascular morbidity and mortality. Coronary calcium deposits (CCD), a marker for significant coronary atherosclerosis, is used for evaluation in asymptomatic individuals of global cardiac risk to develop events related to coronary heart disease (CHD). This study therefore aimed to evaluate the prevalence of coronary artery disease in patients with SS appropriately replaced for pituitary hormone deficiencies but untreated for GHD. Thirty patients previously diagnosed with SS and stable on a conventional replacement treatment for at least 6months before the study and thirty age and Body Mass Index (BMI) matched controls were enrolled in this observational study. The subjects underwent detailed clinical, biochemical, and hormone analysis. Coronary multidetector computed tomography was performed in 19 SS patients and 19 healthy participants by a 16-row multislice scanner. Non contrast acquisitions were performed to detect coronary calcifications. Calcium was quantified by the Agatston score (AS) in all subjects. AS > 10 indicates increased CHD risk. The mean (± SD) age was 38.30 ± 10.73years and the diagnostic delay was 11.35 ± 4.74years. Patients with SS had significantly higher mean triglyceride, total cholesterol, and low density lipoprotein (LDL) cholesterol and lower HDL cholesterol concentrations on conventional replacement therapy. The prevalence of CCD was significantly higher in patients of SS compared to controls (42.1% vs. 5.3%; P = 0.023). The presence of CCD and AS > 10 were detected in 42.1% and 31.6% of patients respectively. The presence of significant calcification (Agatston score > 10) was documented in 75% of patients (6/8) of the SS patients with CCD compared to none in the control group (P = 0.019). (Left anteriordescending, 1; left circumflex, 2; right coronary artery, 2 and posterior descending, 1) CONCLUSION: Since coronary artery calcium is an independent predictor of CHD events, the presence of significant prevalence of CCD in patients with SS compared to healthy matched controls, undermines the importance of early risk stratification of SS individuals with plethora of conventional cardiovascular risk factors that are at relatively high risk to avoid the adverse vascular consequences.

Reduced mechanical function of the left atrial predicts adverse outcome in pregnant women with clustering of metabolic risk factors

IntroductionThe left atrial (LA) strain and strain rate are sensitive indicators of LA function. However, they are not widely used for the evaluation of pregnant women with metabolic diseases. The aim of this study was to assess the LA strain and strain rate of pregnant women with clustering of metabolic risk factors and to explore its prognostic effect on adverse pregnancy outcomes.Materials and methodsSixty-three pregnant women with a clustering of metabolic risk factors (CMR group), fifty-seven women with pregnancy-induced hypertension (PIH group), fifty-seven women with gestational diabetes mellitus (GDM group), and fifty matched healthy pregnant women (control group) were retrospectively evaluated. LA function was evaluated with two-dimensional speckle-tracking imaging. Iatrogenic preterm delivery caused by severe preeclampsia, placental abruption, and fetal distress was regarded as the primary adverse outcome.ResultsThe CMR group showed the lowest LA strain during reservoir phase (LASr), strain during contraction phase (LASct) and peak strain rate during conduit phase (pLASRcd) among the three groups (P < 0.05). LA strain during conduit phase (LAScd) and peak strain rate during reservoir phase (pLASRr) in the CMR group were lower than those in the control and GDM groups (P < 0.05). Multivariable Cox regression analysis demonstrated systolic blood pressure (HR = 1.03, 95% CI 1.01–1.05, p = 0.001) and LASr (HR = 0.86, 95% CI 0.80–0.92, p < 0.0001) to be independent predictors of iatrogenic preterm delivery. An LASr cutoff value ≤ 38.35% predicted the occurrence of iatrogenic preterm delivery.ConclusionsLA mechanical function in pregnant women with metabolic aggregation is deteriorated. An LASr value of 38.35% or less may indicate the occurrence of adverse pregnancy outcomes.

Abstract #994705: The High Prevalence of Coronary Calcification and Increased Risk for Coronary Heart Disease in Patients with Sheehan’s Syndrome

Sheehan's syndrome (SS) is one of the most important causes of hypopituitarism in developing countries with patients having varying degrees and severity of anterior pituitary hormone deficiency including growth hormone deficiency (GHD). SS is characterized by Increased clustering of metabolic and pro-inflammatory risk factors predisposing them to increased cardiovascular morbidity and mortality. Coronary calcium deposits (CCD), a marker for significant coronary atherosclerosis, is used for evaluation in asymptomatic individuals of global cardiac risk to develop events related to coronary heart disease (CHD). The present study was designed to evaluate the prevalence of coronary calcium deposits in patients with SS appropriately replaced for pituitary hormones deficiencies but untreated for GHD.

Future risk of diabetes among Indians with metabolic and phenotypic obesity: Results from the 10-year follow-up of the Chennai Urban Rural Epidemiology Study (CURES-158).

To investigate the risk of type 2 diabetes (T2DM) among the combinations of BMI categories and metabolic syndrome in Asian Indians. Individuals from the Chennai Urban Rural Epidemiology Study cohort (n = 1,368), free of diabetes at baseline were stratified by BMI and metabolic health as metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically obese non-obese (MONO) and metabolically obese obese (MOO). Phenotypic obesity was defined as BMI ≥ 25kg/m2 and metabolic obesity as presence of any two of the metabolic abnormalities: hyperglycemia, high blood pressure, high triglyceridemia or low HDL cholesterol. Hazard ratios for progression to diabetes were estimated using Cox proportional hazard regression. During median 9.1years of follow-up, incident cases of diabetes were highest among MOO-45.1%, followed by MONO-41.3%, MHO-27.1% and MHNO-15.9%. Incidence rates of diabetes among MOO, MONO, MHO and MHNO were 57.8, 50.9, 30.4 and 18.1 per 1000 person years, respectively. Hazard ratio for diabetes development were 1.71 in MHO, 2.87 in MONO, and 3.39 in MOO compared with MHNO. Increased BMI and metabolic risk factor clustering independently contribute to the increased risk of T2DM in obese individuals. Screening for metabolic abnormalities should be performed routinely in clinic to identify high-risk individuals and institute appropriate preventive measures.

Sex Differences in Rest-Activity Circadian Rhythm in Patients With Metabolic Syndrome.

Rest-Activity circadian Rhythm (RAR) can be used as a marker of the circadian timing system. Recent studies investigated the relationship between irregular circadian rhythms and cardiovascular risk factors such as hypertension, obesity, and dyslipidemia. These factors are related to the Metabolic Syndrome (MS), a clustering of metabolic risk factors that increases the risk of several cardiovascular and metabolic diseases. This cross-sectional analysis aimed to explore the RAR characteristics by actigraphy in subjects with MS, particularly in relation to sex and MS parameters, using parametric and non-parametric analyses. Distinguishing the characteristics of RAR based on sex could prove useful as a tool to improve the daily level of activity and set up customized activity programs based on each person’s circadian activity profile. This study showed that female participants exhibited higher values than male participants in the Midline Estimating Statistic of Rhythm (MESOR) (243.3 ± 20.0 vs 197.6 ± 17.9 activity count), Amplitude (184.5 ± 18.5 vs 144.2 ± 17.2 activity count), which measures half of the extent of the rhythmic variation in a cycle, and the most active 10-h period (M10) (379.08 ± 16.43 vs 295.13 ± 12.88 activity count). All these parameters are indicative of a higher daily activity level in women. Female participants also had lower Intradaily Variability (IV) than male participants (0.75 ± 0.03 vs 0.85 ± 0.03 activity count), which indicates a more stable and less fragmented RAR. These preliminary data provide the first experimental evidence of a difference in RAR parameters between male and female people with MS.

UNDERSTANDING THE METABOLIC RISK FACTOR CLUSTERING: ITS ASSOCIATION WITH OXIDATIVE STRESS AND DIABETES MELLITUS

Metabolic risk factor clustering is the key concept of Insulin resistance and Diabetes Mellitus. Oxidative stress plays an important role in the progression of clustering in the cascade pattern. According to W.H.O. Type 2 Diabetes Mellitus has already reached epidemic proportions currently affecting over 422 million people worldwide and one of the four leading non-communicable diseases highlighted in the targets of the WHO Global Monitoring Framework (2019-20). Oxidative stress from oxidative metabolism had been reported to cause base damage, as well as break strand in genetic level .oxidative stress is thought to be involved in the development of atherosclerosis (CVD) and had been cited to be of etiological importance in cardiovascular diseases. The present study highlights the various traits of metabolic clustering and its association with reactive oxygen species (ROS).

Metabolic Syndrome and Menopause are correlated in Moroccan women population

Background: Metabolic syndrome is a cluster of metabolic risk factors for type 2 diabetes mellitus and cardiovascular diseases. Physiological variations occurring in women during menopause are thought to be a predisposing factor for the metabolic syndrome. The aim of this study was to evaluate the prevalence of metabolic syndrome and its individual components according to menopausal status in a sample of Moroccan women. Methods: We analyzed data of 653 women aged 19 years and older. We used the recently published joint interim statement criteria to classify subjects as having metabolic syndrome. Results: Out of the total subjects, 262 (40.12%) were syndromic. The metabolic syndrome and abdominal obesity were more common in postmenopausal than in premenopausal women. The highest prevalence of metabolic syndrome was observed in menopausal transition especially among women aged 49-52 years (62.59%). During this period, half of women have at least three metabolic syndrome risk factors. Conclusion: Abdominal obesity associated with metabolic changes occurring in menopause was a risk factor for the development of metabolic syndrome in women. There is a need to adopt a healthy lifestyle to prevent weight gain in women. This can minimize the incidence of metabolic syndrome and its consequences as type 2 diabetes and cardiovascular diseases.