Metabolic Syndrome Risk Factors Research Articles

Metabolic Syndrome in people treated with Antipsychotics (RISKMet): A multimethod study protocol investigating genetic, behavioural, and environmental risk factors.

The RISKMet project aims to: (1) identify risk factors for metabolic syndrome (MetS) by comparing patients with and without MetS; (2) characterise patients treated with second-generation antipsychotics (SGAs) about MetS diagnosis; (3) study behavioural patterns, including physical activity (PA) and dietary habits, in patients and healthy individuals using a prospective cohort design. The RISKMet project investigates MetS in individuals treated with SGAs, focusing on both adult and paediatric populations. The study utilizes a case-control design to examine potential risk factors for MetS, categorizing participants as MetS+ considered as "Cases" and MetS- considered as "Controls" matched by sex and age. The evaluation of factors such as MetS, lifestyle habits, and environmental influences is conducted at two time points, T0 and T3, after 3 months. Subsequently, the project aims to assess body parameters, including physical examinations, and blood, and stool sample collection, to evaluate metabolic markers and the impact of SGAs. The analysis includes pharmacological treatment data and genetic variability. Behavioural markers related to lifestyle, eating behaviour, PA, and mood are assessed at both T0 and T3 using interviews, accelerometers, and a mobile app. The study aims to improve mental and physical well-being in SGA-treated individuals, establish a biobank for MetS research, build an evidence base for physical health programs, and develop preventive strategies for SGA-related comorbidities. This project innovates MetS monitoring in psychiatry by using intensive digital phenotyping, identifying biochemical markers, assessing familial risks, and including genetically similar healthy controls. ISRCTN18419418 at www.isrctn.com.

Prevalence of Metabolic Syndrome in Primary Health Care, Riyadh, Saudi Arabia

Background: Metabolic Syndrome (MS) is identified as a cluster of risk factors that significantly increase the risk of diabetes, cardiovascular disease, and stroke. It is characterized by obesity, hyperglycemia, dyslipidemia, and hypertension. Multiple definitions and criteria of MS exist. The most widely used set of criteria are the US National Cholesterol Education Program (NCEP) ATP III and the International Diabetes Federation (IDF), both of which are used in this study. Due to different defining criteria and population demographics, the prevalence of MS varies widely across countries, regions, and continents.Objective: This study investigates the prevalence and risk factors of metabolic syndrome among primary healthcare attendees in Riyadh, Saudi Arabia.Methods: A cross-sectional study was conducted over 12 months at the Prince Sultan Military Medical City (PSMMC) Wazzarat Center in Riyadh, Saudi Arabia, involving 262 participants. The study aimed to determine the prevalence and predictors of MS among primary healthcare attendees using ATP III and IDF criteria. Participants were assessed for sociodemographic features, comorbidities, vital signs, and laboratory data related to MS. Statistical analysis utilized R v 4.3 for descriptive statistics, Pearson correlation, Chi-square tests for categorical variables, and the Mann-Whitney test for continuous variables.Results: Among the study participants, 20.2% met the criteria for MS according to ATP III, and 19.9% according to IDF criteria, with a strong concordance between the two (Kappa statistic = 0.92, P < 0.001). The median age of individuals with MS was significantly higher (45 years) than those without (35 years, P < 0.001). Significant predictors included age, with BMI and fasting blood glucose showing a strong positive correlation (r > 0.5, P < 0.001). Notably, 60.7% of the cohort were medically free from conditions contributing to MS.Conclusion: The prevalence of MS among primary healthcare attendees in Riyadh, as defined by ATP III and IDF criteria, underscores the importance of age and lifestyle factors as predictors. The findings advocate for targeted preventive strategies focusing on lifestyle modifications to mitigate the risk of MS. Further research is suggested to explore the long-term impact of these interventions.

Unraveling the Complexities of Polycystic Ovarian Syndrome: A Comprehensive Review

Polycystic Ovarian Syndrome (PCOS) is a complex endocrine disorder affecting reproductive-age women, characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology. This comprehensive review delves into the multifaceted nature of PCOS, exploring its etiology, pathophysiology, clinical manifestations, diagnostic criteria, and management strategies. Key topics include the role of insulin resistance and hyperinsulinemia in PCOS pathogenesis, the impact of hormonal imbalances on menstrual irregularities and fertility, and the association of PCOS with metabolic syndrome and cardiovascular risk factors. Furthermore, the review discusses current diagnostic criteria and controversies surrounding PCOS diagnosis, as well as evidence-based approaches to treatment, encompassing lifestyle modifications, pharmacological interventions, and assisted reproductive technologies. By synthesizing current knowledge and emerging research findings, this review aims to provide a comprehensive overview of PCOS for clinicians, researchers, and individuals affected by this prevalent endocrine disorder.

Effect of DASH vs. mediterranean diet accompanied by a salt restriction on metabolic syndrome and cardiometabolic risk factors in adults with high normal blood pressure or grade 1 hypertension: secondary analyses of a randomized controlled trial

ObjectiveLifestyle interventions are recommended as the first-line treatment to control metabolic syndrome components and improve cardiometabolic risk factors. However, studies directly comparing the cardiometabolic effects of the Dietary Approaches to Stop Hypertension (DASH) vs. the Mediterranean diet (MedDiet) accompanied by salt restriction are currently lacking. Thus, with the present secondary analyses of a randomized trial, we aimed to assess the cardiometabolic effects of a 3-month intensive dietary intervention implementing salt restriction alone or on top of the DASH and MedDiet compared to no/minimal intervention in never drug-treated adults with high normal blood pressure (BP) or grade 1 hypertension. MethodsWe randomly assigned individuals to the control group (CG, n = 60), salt restriction group (SRG, n = 60), DASH diet with salt restriction group (DDG, n = 60), or MedDiet with salt restriction group (MDG, n = 60). ResultsAccording to the intention-to-treat analysis, the DDG and the MDG had lower odds ratio (OR) (95% CI) of metabolic syndrome [0.29 (0.12, 0.72), and 0.15 (0.06, 0.41), respectively] compared to the CG. Moreover, the MDG had lower odds of metabolic syndrome compared to the SRG and lower odds of elevated BP levels than the DDG and the SRG. Moreover, total and LDL-cholesterol, fasting glucose, HbA1c, and systolic/diastolic BP were reduced in all three intervention groups compared to the CG. ConclusionOn a background of salt restriction, the MedDiet was superior in BP reduction, but the DASH and MedDiet reduced the prevalence of metabolic syndrome to the same extent.

Caloric Restriction Improves Hepatic Thyroid Hormone Signaling During Metabolic Syndrome

Thyroid hormone dysregulation has been associated with metabolic syndrome (MetS) risk factors: hypertension, atherogenic dyslipidemia, obesity, and glucose intolerance. Several pathways are regulated by thyroid hormones such as the insulin signaling pathway, lipid metabolism, and antioxidant production among others. Impairment of thyroid hormone production causes dysregulation of these pathways. Caloric restriction (CR) is a form of non-pharmaceutical approach that has been shown to ameliorate MetS cluster factor conditions. However, caloric restriction's effects on thyroid hormone signaling during MetS remains unclear. A cohort of 11-week-old Otsuka Long Evan Tokushima Fatty (OLETF) and lean-strain control Long Tokushima Evans Otsuka (LETO) rats were fed chow ad libitium for 4 weeks. At 15 weeks, the animals were fed a 50% CR diet (compared to their control) for 10 days and assigned to four groups: (1) LETO (n=14), (2) LETO CR (n=14), (3) OLETF (n=14), and (4) OLETF CR (n=14). After the CR period, 7 animals from each group were then refed at pre-CR levels for 7 days and assigned to four groups: (1) LETO (n=7), (2) LETO post-recovery (LETO PR; n=7), (3) OLETF (n=7), and (4) OLETF PR (n=7). Mean body mass decreased 12% and 14% in LETO and OLETF, respectively, during the CR period compared to their ad lib controls. Hepatic deiodinase 1 (Dio1) protein expression was reduced by 41% in the OLETF compared to LETO. Dio1 protein expression was increased by 150% during CR and 88% by PR in OLETF. Deiodinase 2 (Dio2) showed a decreasing trend in OLETF rats compared to LETO and an increasing trend in the OLETF CR group compared to its ad lib control. Both free (fT4) and total T4 (tT4) had increasing trends in OLETF compared to LETO. CR induced a decreasing trend in fT4 and tT4 in OLETF compared to ad lib OLETF controls. These findings demonstrate that caloric restriction induces changes in hepatic thyroid hormone signaling that can improve impaired metabolism induced by MetS. Doctoral fellowship UC MEXUS-CONACYT 440553 National Institute on Minority Health and Health Disparities grant 9T37-MD001480 American Heart Association 23DIVSUP1066372. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

A meta-analysis of the association between RBP4 rs3758539 genotype and metabolic syndrome factors.

To explore the link between the RBP4 rs3758539 genotype and metabolic syndrome risk factors and whether the impact of this genetic variation displays any potential race discrepancy. This meta-analysis followed the PRISMA guidelines and was registered with PROSPERO (registration no. CRD42023407999). PubMed, Web of Science, Embase, Cochrane Library, Google Scholar, Airiti Library and CINAHL databases were used for the study search until October 2023. We evaluated the methodological quality using the Joanna Briggs Institute checklist and determined the correlation using a random-effects meta-analysis. The results indicated that individuals with the rs3758539 GA/AA genotype had a higher risk profile, including lower high-density lipoprotein levels [correlation: -0.045, 95% confidence interval (CI): -0.080 to -0.009, p = .015, I2 = 46.9%] and higher body mass index (correlation: 0.117, 95% CI: 0.036-0.197, p = .005, I2 = 82.0%), body fat (correlation: 0.098, 95% CI: 0.004-0.191, p = .041, I2 = 64.0%), and low-density lipoprotein levels (correlation: 0.074, 95% CI: 0.010-0.139, p = .024, I2 = 0%), of developing metabolic syndrome than those with the GG genotype. The subgroup analysis maintained a significantly positive correlation between the rs3758539 GA/AA genotype and body mass index (correlation: 0.163, 95% CI: 0.031-0.289, p = .016, I2 = 88.9%) but a negative correlation with high-density lipoprotein levels (correlation: -0.047, 95% CI: -0.087 to -0.006, p = .025, I2 = 65.7%) in the Asian group only. The current meta-analysis supports a significant link between the RBP4 rs3758539 GA/AA genotype and the metabolic syndrome.

Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3b.

Longitudinal data, while often limited, contain valuable insights into features impacting clinical outcomes. To predict the progression of chronic kidney disease (CKD) in patients with metabolic syndrome, particularly those transitioning from stage 3a to 3b, where data are scarce, utilizing feature ensemble techniques can be advantageous. It can effectively identify crucial risk factors, influencing CKD progression, thereby enhancing model performance. Machine learning (ML) methods have gained popularity due to their ability to perform feature selection and handle complex feature interactions more effectively than traditional approaches. However, different ML methods yield varying feature importance information. This study proposes a multiphase hybrid risk factor evaluation scheme to consider the diverse feature information generated by ML methods. The scheme incorporates variable ensemble rules (VERs) to combine feature importance information, thereby aiding in the identification of important features influencing CKD progression and supporting clinical decision making. In the proposed scheme, we employ six ML models-Lasso, RF, MARS, LightGBM, XGBoost, and CatBoost-each renowned for its distinct feature selection mechanisms and widespread usage in clinical studies. By implementing our proposed scheme, thirteen features affecting CKD progression are identified, and a promising AUC score of 0.883 can be achieved when constructing a model with them.

The relationship between heavy metals and metabolic syndrome using machine learning.

Exposure to high levels of heavy metals has been widely recognized as an important risk factor for metabolic syndrome (MetS). The main purpose of this study is to assess the associations between the level of heavy metal exposure and Mets using machine learning (ML) method. The data used in this study are from the national health and nutrition examination survey 2003-2018. According to the demographic information and heavy metal exposure level of participants, a total of 22 variables were included. Lasso was used to screen out the key variables, and 9 commonly used ML models were selected to establish the associations with the 5-fold cross validation method. Finally, we choose the SHapley Additive exPlanations (SHAP) method to explain the prediction results of Adaboost model. 11,667 eligible individuals were randomly divided into two groups to train and verify the prediction model. Through lasso, characteristic variables were selected from 24 variables as predictors. The AUC (area under curve) of the models selected in this study were all greater than 0.7, and AdaBoost was the best model. The AUC value of AdaBoost was 0.807, the accuracy was 0.720, and the sensitivity was 0.792. It is noteworthy that higher levels of cadmium, body mass index, cesium, being female, and increasing age were associated with an increased probability of MetS. Conversely, lower levels of cobalt and molybdenum were linked to a decrease in the estimated probability of MetS. Our study highlights the AdaBoost model proved to be highly effective, precise, and resilient in detecting a correlation between exposure to heavy metals and MetS. Through the use of interpretable methods, we identified cadmium, molybdenum, cobalt, cesium, uranium, and barium as prominent contributors within the predictive model.

New paradigms in the study of the cholinergic system and metabolic diseases: Acetyl-and-butyrylcholinesterase.

Acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) are enzymes that belong to the neuromuscular cholinergic system, their main function is to hydrolyze the neurotransmitter acetylcholine (ACh), through their hydrolysis these enzymes regulate the neuronal and neuromuscular cholinergic system. They have recently attracted considerable attention due to the discovery of new enzymatic and nonenzymatic functions. These discoveries have aroused the interest of numerous scientists, consolidating the relevance of this group of enzymes. Recent investigations have revealed a positive correlation between several risk factors for metabolic syndrome (MetS) and the expression of cholinesterases (ChE's), which underscore the impact of high ChE's activity on the pro-inflammatory state associated with MetS. In addition, the excessive hydrolysis of ACh and other choline esters (succinylcholine, propionylcholine, butyrylcholine, etc.) by both ChE's results in the overproduction of fatty acid precursor metabolites, which facilitate the synthesis of very low-density lipoproteins and triacylglycerols. Participation in these processes may represent the link between ChE's and metabolic disorders. However, further scientific research is required to fully elucidate the involvement of ChE's in metabolic diseases. This review aims to collect recent research studies that contribute to understanding the association between the cholinergic system and metabolic diseases.

Prevalence of cardiometabolic risk factors according to urbanization level, gender and age, in apparently healthy adults living in Gabon, Central Africa.

The prevalence of cardiometabolic risk factors (CMRFs) is increasing in sub-Saharan Africa and represents a serious public health issue. Accurate data are required to implement adapted prevention programs and healthcare strategies. Thus, the aim of this study was to estimate the prevalence rates of CMRFs according to the level of urbanization, age and gender in Gabon. A cross-sectional study was conducted in northern (Bitam), western coast (Libreville, Melen) and southeast (Koulamoutou) areas of Gabon using the World Health Organization's (WHO) stepwise approach for the surveillance of chronic disease risk factors. Participants over 18 years of age, without known underlying disease, living in rural and urban areas of Gabon were included. Sociodemographic, biological, and behavioral data were collected. Univariate and multivariate analysis were used to identify the CMRFs. Of the 978 participants, 499 lived in urban and 479 in rural areas. Their median age was 38[28-50] years. Tobacco (26.1% vs 6.2%; p < 0.01) and excessive alcohol consumption (19.4% vs 9.6%; p < 0.01) predominated in rural than in urban areas, respectively. Urban dwellers had more often insufficient physical activity than rural people (29.5% vs 16.3%; p < 0.01). In total, 79.9% of participants aged under 54 years had a high blood pressure;10.6% of the younger participants had pre-hypertension. Metabolic syndrome was more frequent in women (21.7%) than in men (10.0%) (p < 0.01); 6.4% of men and 2.5% of women had a high Framingham score (p = 0.03). Finally, 54.0% of the participants had three or four CMRFs. The multivariate analysis showed that men were more likely to be smokers and to be at risk of pre-hypertension or high blood pressure (p < 0.01). Women were more likely to be obese or to have a metabolic syndrome (p < 0.01). Living in urban areas was also a risk factor for hypertension, diabetes, metabolic syndrome and high LDL cholesterol level. The prevalence of CMRFs was high in the study population. Disparities were observed according to urban and rural areas, gender and age. National prevention and healthcare strategies for cardiometabolic diseases in Gabon should consider these observed differences.

Association between dental scaling and metabolic syndrome and lifestyle.

Periodontal disease is a risk factor for diabetes and metabolic syndrome, and non-surgical periodontal treatment has been shown to help maintain stable blood sugar in diabetic patients. Determining the level of preventive scaling in patients with metabolic syndrome will help manage the disease. The purpose of this study was to investigate the extent to which people with metabolic syndrome or bad lifestyle performed scaling and the association between preventive scaling and metabolic syndrome or lifestyle in a large population. This study was conducted on adults aged 20 years or older from January 2014 to December 2017 in the National Health Insurance System (NHIS) database. Among 558,067 people who underwent health checkups, 555,929 people were included. A total of 543,791 people were investigated for preventive scaling. Metabolic syndrome components were abdominal obesity, lower high density lipoprotein cholesterol (HDL)-C, high triglycerides, high blood pressure and hyperglycemia. Unhealthy lifestyle score was calculated by assigning 1 point each for current smokers, drinkers, and no performing regular exercise. When multiple logistic regression analysis was performed after adjusting for age, sex, income, body mass index (BMI), smoking, drinking and regular exercise, the Odds ratios (OR) and 95% confidence intervals (CI) of the group with 5 metabolic syndrome components were 0.741 (0.710, 0.773) (p<0.0001). After adjustment for age, sex, income, BMI, smoking, drinking, regular exercise, diabetes, hypertension and dyslipidemia, the OR (95% CI) of the group with unhealthy lifestyle score = 3 was 0.612 (0.586, 0.640) (p<0.0001). The more metabolic syndrome components, and the higher unhealthy lifestyle score, the less scaling was performed.

Cost-effectiveness of behavioural counselling intervention compared with non-intervention for adult patients with metabolic syndrome to prevent cardiovascular diseases and type 2 diabetes in Japan: a microsimulation modelling study

ObjectivesNationwide lifestyle intervention—specific health guidance (SHG) in Japan—employs counselling and education to change unhealthy behaviours that contribute to metabolic syndrome, especially obesity or abdominal obesity. We aimed to perform a...

The effects of raja banana (Musa acuminata) peel extract on body weight, body mass index, body fat percentage, and visceral fat mass in male rats with obesity

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Background: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Obesity is a risk factor for metabolic syndrome which can increase mortality. Obese sufferers often fail to lose body weight (BW) through non-pharmacological therapy. Obesity synthetic drugs can cause side effects, so natural ingredients are needed as alternative therapies.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Objectives: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;This study aims to determine the effect of raja banana peel extract (RBPE) on BW, body mass index (BMI), body fat percentage (BFP), and visceral fat mass in obese male rats.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Methods: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;The research subjects were 30 male Wistar rats weighing 125-200 g, aged eight weeks. Obesity was induced by being given high-fat high fructose (HFHFr) feed for 28 days. Rats were randomized and divided into five groups: the negative control group (C-) was given standard feed and distilled water, the positive control (C+) was given standard feed and orlistat, treatment 1 (T1), treatment 2 (T2), and treatment 3 (T3). Which were given standard feed and RBPE doses of 200 mg/kgBW/day, 400 mg/kgBW/day, and 800 mg/kgBW/day. Data before and after the induction of obesity were analyzed using paired t-tests. BW, BMI, and visceral fat mass were analyzed using the One-Way Analysis of Variance (ANOVA) and Repeated Measure ANOVA tests. BFP was analyzed using the Kruskal-Wallis test and the Friedman test.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Results: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;RBPE can significantly reduce BW (p=0.026), BMI (p&amp;lt;0.001), and BFP (p&amp;lt;0.001). However, all groups had no significant difference in visceral fat mass (p=0.187). T3 was the group with the lowest average BW, BMI, BFP, and visceral fat mass although the highest weight loss during the intervention period occurred in C+.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;strong&gt;&lt;em&gt;Conclusions: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;RBPE has the potential as an alternative therapy for obesity because it can reduce BW, BMI, and BFP. Future studies can investigate the effect of RBPE on other obesity parameters such as lipid profiles.&lt;/em&gt;

Association between metabolic phenotypes of overweight/obesity and cardiovascular diseases in postmenopausal women

Background and aimObesity and metabolic abnormalities were associated with an increased risk of cardiovascular disease. However, it is unclear how metabolic weight phenotypes relate to cardiovascular diseases in postmenopausal women. This study aimed to explore the relationships in postmenopausal women. Methods and resultsWe included 15,575 postmenopausal women aged 35–75 years (median age, 60.6) without cardiovascular disease at baseline from a subcohort of the China Patient-centered Evaluative Assessment of Cardiac Events Million Persons Project. Metabolically unhealthy phenotype was defined as having ≥2 risk factors of metabolic syndrome: blood pressure ≥130/85 mm Hg or current use of antihypertensive drugs, fasting glucose ≥5.6 mmol/L or current use of antidiabetic agents, triglycerides ≥1.7 mmol/L, and high-density lipoprotein cholesterol <1.3 mmol/L. Cox regression analysis was used to evaluate the risks of cardiovascular diseases. Over a median follow-up period of 3.55 (interquartile range, 2.59–4.44) years, a total of 1354 cardiovascular events occurred. Compared to metabolically healthy normal weight, the multivariate-adjusted hazard ratios and their 95% confidence intervals were 1.41 (1.16–1.72) for metabolically unhealthy normal weight, 1.42 (1.16–1.73) for metabolically healthy overweight/obesity, and 1.75 (1.48–2.08) for metabolically unhealthy overweight/obesity. Subdividing overweight/obesity into separate groups revealed higher total cardiovascular disease risk only in metabolically unhealthy individuals across body mass index categories. ConclusionIn postmenopausal women, both metabolically healthy overweight/obesity and metabolically unhealthy normal weight were associated with a higher risk of cardiovascular disease compared to metabolically healthy normal weight, and the greatest risk was observed in the metabolically unhealthy overweight/obesity category.

Dietary Habit and Physical Activity as Risk Factors of Metabolic Syndrome among Civil Servants in Jambi City

The prevalence of Metabolic Syndrome (MetS) is an important health problem due to the association with increased cardiovascular disease as the main cause of death. Approximately 20-25% of the global adult population including Indonesia suffers from MetS. The high prevalence is attributed to several factors namely lifestyle changes such as dietary habit and physical activity. Therefore, this study aimed to investigate the relationship between dietary habit and physical activity with MetS incidence among civil servant employees in Jambi City, Indonesia. A cross-sectional design was used to assess the proportion of MetS, dietary habit, and physical activity. A total of 108 civil servant employees were selected as respondents from six agencies using a multistage random sampling technique. Data collection was carried out through physical examination and interviews using a questionnaire. The results showed that the prevalence of MetS was 60.2%, with three risk indicators, namely central obesity (74.1%), blood pressure (66.7%), and HDL (63%). Based on the chi-square test, dietary habit (OR=2.571, 95%CI=1.151-5.744) and physical activity (OR=3.692, 95%CI=1.625-8.388) were significantly related to MetS. The persistently high prevalence of MetS was significantly related to dietary habit and physical activity among civil servant employees in Jambi City-Indonesia. These results underscored the need to improve understanding of healthy diets by adopting a balanced nutritional intake, increasing the intensity of physical activity according to age, and engaging in regular exercise.

Prevalence and risk factors of metabolic syndrome among female university students: A cross-sectional study

Metabolic syndrome (MetS) encompasses various metabolic abnormalities linked to type 2 diabetes and cardiovascular diseases. The study is aimed to assess the prevalence of Metabolic Syndrome (MetS) among female university students, by gathering anthropometric data including Body Mass Index (BMI), Waist Circumference (WC), and Blood Pressure (BP) and evaluating biochemical data including total Cholesterol (TC), Fasting Plasma Glucose (FPG), High-Density Lipoprotein (HDL), and Triglycerides. This study done at Legacy University Okija assessed MetS prevalence among female students, gathering anthropometric (BMI, waist circumference (WC), blood pressure (BP)) and biochemical data (total cholesterol (TC), fasting plasma glucose (FBS), HDL, triglycerides) after an 8-hour fast. The tests were done using standard laboratory procedures. One-way analysis of variance (ANOVA) was used to assess differences in BMI groups and MetS components. The results showed that 2(2.9%) students were underweight, 49(70%) had ideal body weight, 12(17.1%) were overweight and 7(10%) were obese. The prevalence of the risk factors were: 7.1% for obesity according to WC, 7.1 % (high) and 1.4%(very high) for systolic BP, 18% for diastolic BP, 48.6% for triglyceride, and 7.1%(pre-diabetic) and 1.4%(diabetic) for FPG. Low HDL-C was absent. The highest prevailing risk factor was triglyceride. The variables with statistical significance were WC(p&lt;0.05), FPG(p&lt;0.05), and diastolic BP(p&lt;0.05). Overall MetS prevalence was 1.4%. MetS is present, especially among the obese, but risk factors are also evident in other groups.

A Holistic Review of Rosacea and Its Association with Cardiovascular Diseases

Rosacea is a chronic inflammatory dermatological condition with different clinical phenotypes, usually diagnosed clinically and treated with systemic and topical medications. Rosacea is one of the skin conditions that is often believed to just have cutaneous manifestation, but it is actually a systemic condition that affects many different systems. The correlation between rosacea and a variety of comorbidities, including depression, gastrointestinal disorders, migraines, autoimmune conditions, and cardiovascular diseases (CVD) are noted in many different studies. There are numerous risk factors for CVD, including hypertension (HTN), diabetes mellitus (DM), metabolic syndrome (MS), and dyslipidemia. CVD has a high mortality rate and should not be overlooked. Rosacea patients must receive the appropriate education regarding the management of CVD risk factors in addition to rosacea. We thought it was important to conduct a literature review to investigate the association between rosacea and the risk factors associated with CVDs, since both conditions are chronic and involve the interaction of genetic and inflammatory factors. The purpose of this narrative review is to overview rosacea, draw attention to the cardiovascular risk that rosacea patients face, and alert dermatologists, cardiologists, and primary care physicians to the need for immediate risk factor treatment.

Abstract MP39: Circadian Misalignment Increases the Impact of Visceral Adiposity on Metabolic Syndrome Independent of Nutrition and Physical Activity in Adolescents

Introduction: Although insufficient sleep is a known risk factor for metabolic syndrome (MetS), the circadian timing of sleep is also involved in cardiometabolic risk. Prior studies have shown that circadian misalignment, which is highly prevalent during adolescence, impacts the association of visceral adiposity (VAT) with MetS burden in youth. However, whether lifestyle behaviors mediate this effect remains unknown. Hypothesis: We hypothesize that diet and physical activity will mediate the impact of circadian misalignment on the relationship between VAT and MetS in adolescents. Methods: We analyzed data from 277 population-based adolescents from the Penn State Child Cohort (median 16.2 years; 48% female; 22% racial/ethnic minority) who had 5-night actigraphy (ACT) and were evaluated while in-school (n=177) or on-break (n=100). They also had 9-h polysomnography (PSG), a dual-energy X-ray absorptiometry (DXA) scan, ACT-measured physical activity, and dietary assessment (DA-80). DXA-measured VAT was the predictor. MetS score (i.e., age/sex-adjusted z-scores of waist circumference, blood pressure, HOMA-IR, triglycerides, and HDL cholesterol) was the outcome. ACT-measured sleep midpoint (SM), sleep irregularity (SI), and social jetlag (SJL) were the effect modifiers. Linear regression models were first adjusted for essential covariates (i.e., sex, race/ethnicity, age, ACT-sleep duration, ACT-sleep variability, and PSG-apnea/hypopnea index), and, thereafter, for potential mediators (i.e., total caloric intake, protein, fat, carbohydrates, bouts and amount of sedentary behavior, and moderate-to-vigorous physical activity). Results: Significant effect modifications were found between VAT and SM, SI and SJL while in-school on MetS after adjusting for essential covariates (interaction effects: 0.61 (0.25) p=0.014, 0.37 (0.16) p=0.018, and 0.58 (0.23) p=0.011, respectively). Despite SM, SI or SJL being associated with caloric intake (e.g., r=0.160, P=0.017 for carbohydrates) or physical activity (e.g., r=0.217, P=0.003 for bouts of sedentary behavior), these effect modifications were not significantly impacted by further adjusting for caloric intake, including carbohydrates [interaction effects: 0.52 (0.24) p=0.030, 0.36 (0.15) p=0.017, and 0.59 (0.21) p=0.005, respectively], or physical activity, including bouts of sedentary behavior [interaction effects: 0.61 (0.25) p=0.015, 0.38 (0.16) p=0.017, and 0.58 (0.23) p=0.012, respectively]. Conclusions: Lifestyle factors such as nutrition or physical activity do not significantly account for the role that circadian misalignment has in increasing the impact of VAT on MetS burden in adolescents. Therefore, other pathways, biological or behavioral, may be involved in how circadian misalignment contributes to the development of cardiometabolic sequelae associated with central obesity.

Hyperuricemia Unravelled: Elevated Uric Acid Levels and Its Implications on Health

Hyperuricemia is associated with all risk factors of Metabolic syndrome and is viewed as a biomarker and therapeutic target for cardiometabolic treatments. This comprehensive review examines the multifaceted landscape of hyperuricemia delving into its epidemiology, intricate pathophysiology, diverse associations with health conditions and contemporary approaches to its management.

Sociodemographic and reproductive risk factors associated with metabolic syndrome in a population of Brazilian women from the city of Ribeirão Preto: a cross-sectional study.

To identify sociodemographic and reproductive risk factors associated with MetS in women in their fourth decade of life. Cohort study conducted on women born from June 1978 to May 1979 in Ribeirão Preto, Brazil. Sociodemographic, clinical, and obstetric data were collected by interview and clinical evaluation. Univariable and multivariable binomial logistic regression models were constructed to identify the risk factors of metabolic syndrome and the adjusted relative risk (RR) was calculated. The cohort included 916 women, and 286 (31.2%) of them have metabolic syndrome. MetS was associated with lack of paid work (RR 1.49; 95% CI 1.14-1.95), marital status of without a partner (RR 1.33; 95% CI 1.03-1.72), low educational level (less than 8 years of schooling [RR 1.72; 95% CI 1.23-2.41], 8 to 12 years of schooling [RR 1.37; 95% CI 1.06-1.76], when compared with more than 12 years of schooling), and teenage pregnancy (RR 2.00; 95% CI 1.45-2.77). There was no association between MetS, and the other covariates studied. Metabolic syndrome in a population of women in the fourth decade of life was associated with lack of employment, lack of a partner, low educational level, and teenage pregnancy.