Higher Risk Of Metabolic Syndrome Research Articles

RNA modifications in the progression of liver diseases: from fatty liver to cancer.

Non-alcoholic fatty liver disease (NAFLD) has emerged as a prominent global health concern associated with high risk of metabolic syndrome, and has impacted a substantial segment of the population. The disease spectrum ranges from simple fatty liver to non-alcoholic steatohepatitis (NASH), which can progress to cirrhosis and hepatocellular carcinoma (HCC) and is increasingly becoming a prevalent indication for liver transplantation. The existing therapeutic options for NAFLD, NASH, and HCC are limited, underscoring the urgent need for innovative treatment strategies. Insights into gene expression, particularly RNA modifications such as N6 methyladenosine (m6A), hold promising avenues for interventions. These modifications play integral roles in RNA metabolism and cellular functions, encompassing the entire NAFLD-NASH-HCC progression. This review will encompass recent insights on diverse RNA modifications, including m6A, pseudouridine (ψ), N1-methyladenosine (m1A), and 5-methylcytidine (m5C) across various RNA species. It will uncover their significance in crucial aspects such as steatosis, inflammation, fibrosis, and tumorigenesis. Furthermore, prospective research directions and therapeutic implications will be explored, advancing our comprehensive understanding of the intricate interconnected nature of these pathological conditions.

Are Young People with Turner Syndrome Who Have Undergone Treatment with Growth and Sex Hormones at Higher Risk of Metabolic Syndrome and Its Complications?

Metabolic syndrome (MetS), characterized by visceral obesity, glucose abnormalities, hypertension and dyslipidemia, poses a significant risk of diabetes and cardiovascular disease. Turner syndrome (TS), resulting from X chromosome abnormalities, carries health complications. Despite growing evidence of an increased risk of MetS in women with TS, its prevalence and risk factors remain under investigation. These considerations are further complicated by the varying timing and dosages of treatment with growth hormone and sex hormones. We conducted a cross-sectional study comparing 44 individuals with TS with 52 age-matched control subjects. Growth hormone treatment in the study group was administered for varying lengths of time, depending on clinical response. We collected anthropometric, metabolic, endocrine and body composition data. Statistical analyses included logistic regression. Baseline characteristics, including age, BMI and height, were comparable between the TS and control groups. Hormonally, individuals with TS showed lower levels of testosterone, DHEA-S, and cortisol, as well as elevated FSH. Lipid profiles indicated an atherogenic profile, and the body composition analysis showed increased visceral adipose tissue in those with TS. Other metabolic abnormalities were common in individuals with TS too, including hypertension and impaired fasting glucose levels. The risk of MetS components was assessed in subgroups according to karyotypes: monosomy 45X0 vs. other mosaic karyotypes. Logistic regression analysis showed a significant association between increased visceral adipose tissue in subjects with TS. Those with metabolic complications tended to have less muscle strength compared to those without these complications in both the study and control groups. This study highlights the unique metabolic and cardiovascular risk profile of individuals with TS, characterized by atherogenic lipids, higher levels of visceral adipose tissue and increased metabolic abnormalities. These findings underscore the importance of monitoring metabolic health in individuals with TS, regardless of age, BMI or karyotype, and suggest the potential benefits of lifestyle modification, building more muscle strength, and weight control strategies. Further research is needed to better understand and address the metabolic challenges faced by women with TS.

Associations between hysterectomy and metabolic syndrome: the Multi-Ethnic Study of Atherosclerosis

Metabolic syndrome is linked to an increased risk of incident cardiovascular disease and all-cause mortality. Notable associations exist between hysterectomy with bilateral salpingo-oophorectomy and metabolic syndrome. However, there is emerging evidence that even with ovarian conservation, hysterectomy may be independently associated with long-term cardiovascular disease risk. To examine the associations between hysterectomy with ovarian preservation and metabolic syndrome risk in a multiethnic cohort. We studied 3367 female participants in the Multi-Ethnic Study of Atherosclerosis who had data on self-reported history of hysterectomy, oophorectomy, hystero-oophorectomy, and metabolic syndrome at baseline (2000-2002). We used adjusted logistic regression to assess the cross-sectional associations between hysterectomy and or oophorectomy subgroups and prevalent metabolic syndrome at baseline. Furthermore, we investigated 1355 participants free of baseline metabolic syndrome and used adjusted Cox regression models to evaluate incident metabolic syndrome from examinations 2 (2002-2004) to 6 (2016-2018). The mean age was 59.0±9.5 years, with 42% White, 27% Black, 19% Hispanic, and 13% Chinese American participants. 29% and 22% had a history of hysterectomy and oophorectomy, respectively. Over a median follow-up of 10.5 (3.01-17.62) years, there were 750 metabolic syndrome events. Hysterectomy (hazard ratio, 1.32 [95% confidence interval, 1.01-1.73]) and hystero-oophorectomy (hazard ratio, 1.40 [95% confidence interval, 1.13-1.74]) were both associated with incident metabolic syndrome compared with having neither hysterectomy nor oophorectomy. Hysterectomy, even with ovarian preservation, may be independently associated with a higher risk of metabolic syndrome. If other studies confirm these findings, screening and preventive strategies focused on females with ovary-sparing hysterectomies and the mechanisms underpinning these associations may be explored.

Association between the severity of hard-to-treat psoriasis and the prevalence of metabolic syndrome: A hospital-based cross-sectional study in Jakarta, Indonesia.

Psoriatic lesions on the scalp, face, intertriginous, genitals, palms/soles, and nails are often delay diagnosed, hard-to-treat, and cause disability. Metabolic syndrome (MetS) is one of the most frequent and significant comorbidities in psoriasis. Many studies have discovered a link between psoriasis and MetS, but none have specifically assessed the hard-to-treat psoriasis in Indonesian population. This is a multicenter study involving four dermatology referral hospitals to investigate the association between psoriasis severity that has hard-to-treat lesions with the prevalence of MetS in Jakarta, Indonesia. Data was collected from April to October 2022. The severity of 84 hard-to-treat psoriasis patients was measured by Psoriasis Area Severity Index (PASI) scores. The participants divided into PASI score >10 (severe) and ≤ 10 (mild-moderate) groups. MetS was identified based on the modified National Cholesterol Education Program Adult Treatment Panel III. MetS was found in 64.3% of patients. Patients with a PASI score>10 had a significantly higher risk of metabolic syndrome compared to those with a score ≤ 10 (78.6% vs 50%, OR 3.667; 95% CI 1.413-9.514; p = 0.006). The prevalence of hypertension (p = 0.028), low levels of high-density lipoprotein (HDL) cholesterol (p = 0.01), mean fasting blood sugar (p = 0.018), and triglyceride levels (p = 0.044) between the two groups differed significantly. This study found most frequent components of MetS were abdominal obesity, decreased levels of HDL cholesterol, hypertension, hyperglycemia, and hypertriglyceridemia respectively. Individuals with severe hard-to-treat psoriasis had a 3.67 times more likely to have MetS rather than the mild-moderate group.

To Study the Evidence of Linking Adipokines (Adiponectin, Leptin) with Metabolic Syndrome: A Systematic Review

Background: A growing body of world health has shown that there is a correlation between derangement of adipokines section and metabolic syndrome, but a small number of studies also refused the data. Considering these aspects, this study is intense in pursuing precise knowledge regarding the same and the conclusion. Aim and Objective: This study investigates the connection between markers of metabolic syndrome and adipokines, particularly leptin and adiponectin. Methods: PubMed, Scopus, and Web of Science databases were used for a thorough literature review. From 2013 to 2023, the terms “adipokines and metabolic syndrome”, “adiponectin and metabolic syndrome”, and “leptin and metabolic syndrome” were searched. This review made use of the preferred reporting items for systematic review and meta. Results: About 3448 previous studies were searched, of which 85 studies fulfilled the inclusion and exclusion criteria. A total of 85 papers comprised this systematic review, and we examined 60 of them. An overvalue of most studies showed that decreased adiponectin levels are linked with a higher risk of metabolic syndrome. However, patients with metabolic syndrome had higher risk levels of both leptin and the leptin-adiponectin ratio. Conclusions: Obesity affects the generation of adipokines, which regulates the many factors of the metabolic syndrome, through unique and linked pathways. Therefore, we conclude that obesity resulting from a high-fat, high-sugar, high-lipid diet may affect various organs, increasing the risk of metabolic diseases and the underlying causes of insulin resistance and triggering an inflammatory response.

Magnesium Depletion Score and Metabolic Syndrome in US Adults: Analysis of NHANES 2003-2018.

The association between magnesium status and metabolic syndrome remains unclear. This study aimed to examine the relationship between the kidney reabsorption-related magnesium depletion score (MDS) and metabolic syndrome among US adults. We analyzed data from 15,565 adults participating in the National Health and Nutrition Examination Survey (NHANES) 2003-2018. Metabolic syndrome was defined according to the National Cholesterol Education Program's Adult Treatment Panel III report. The MDS is a scoring system developed to predict the status of magnesium deficiency that fully considers the pathophysiological factors influencing the kidneys' reabsorption capability. Weighted univariate and multivariate logistic regression were used to assess the association between MDS and metabolic syndrome. Restricted cubic spline analysis was conducted to characterize dose-response relationships. Stratified analyses by sociodemographic and lifestyle factors were also performed. In both univariate and multivariate analyses, higher MDS was significantly associated with increased odds of metabolic syndrome. Each unit increase in MDS was associated with approximately a 30% higher risk for metabolic syndrome, even after adjusting for confounding factors (OR 1.31; 95% CI 1.17-1.45). Restricted cubic spline graphs depicted a linear dose-response relationship across the MDS range. This positive correlation remained consistent across various population subgroups and exhibited no significant interaction by age, gender, race, adiposity, smoking status, or alcohol consumption. Higher urinary magnesium loss as quantified by MDS may be an independent linear risk factor for metabolic syndrome in US adults, irrespective of sociodemographic and behavioral factors. Optimizing magnesium nutritional status could potentially confer benefits to patients with metabolic syndrome.

Abstract TMP78: Disparities in Experiencing Major Adverse Cardiovascular Events Among Survivors of Spontaneous Intracerebral Hemorrhage by Hematoma Location

Background: Large studies evaluating the association of hematoma location with the risk of developing major adverse cardiovascular events (MACE) among survivors of intracerebral hemorrhage (ICH) in the United States are lacking. Methods: We identified adult (>=18 years) ICH survivors from the state inpatient and the state emergency department databases of Florida, New York, Maryland, Washington, and Georgia (2016 - 2019). We fit a series of multivariable Fine-Gray sub-distribution hazard models, with the competing risk of death, and report the sub-distribution hazard ratio (SHR) and 95% confidence interval (CI) of the independent associations of hematoma location (lobar vs. non-lobar) with recurrent ICH (r-ICH), acute ischemic stroke (AIS), acute myocardial infarction (AMI), and MACE (any stroke, AMI, systemic embolism, or vascular death). Results: Among 10,652 ICH patients (median age [IQR]: 70 [58 - 80] years; 47.7% female; 43.2% lobar ICH), 3.3%, 3.1%, 0.5%, and 8.1%, respectively, experienced r-ICH, AIS, AMI, and MACE. Patients with lobar ICH (vs. non-lobar ICH) had a higher risk of r-ICH (SHR, CI: 1.67, 1.35 - 2.07) and MACE (1.28, 1.14 - 1.44). Blacks (vs. Whites) have a higher risk of AIS (1.64, 1.32 - 2.03) and MACE (1.42, 1.22 - 1.65). Also, privately insured patients (vs. Medicare) have a lower risk of r-ICH (0.45, 0.31 - 0.67), AIS (0.71, 0.53 - 0.95), and MACE (0.58, 0.47 - 0.71). Patients from low-income zip codes have a higher risk of AMI (1.83, 1.23 - 2.15) and MACE (1.16, 1.02 - 1.32). Patients with atrial fibrillation had a higher risk of AIS (1.47, 1.18 - 1.84) and MACE (1.26, 1.07 - 1.49). Patients with a high risk of metabolic syndrome (>= 2 of the following: hypertension, diabetes, hyperlipidemia, or obesity) have a higher risk of AIS (1.37, 1.13 - 1.65), AMI (1.81, 1.19 - 2.75), and MACE (1.28, 1.13 - 1.44). Conclusions: Developing targeted secondary prevention strategies tailored to the specific sociodemographic and clinical profiles of ICH survivors is warranted.

Cigarette smoking and PM2.5 might jointly exacerbate the risk of metabolic syndrome.

Cigarette smoking and particulate matter (PM) with aerodynamic diameter < 2.5 μm (PM2.5) are major preventable cardiovascular mortality and morbidity promoters. Their joint role in metabolic syndrome (MS) pathogenesis is unknown. We determined the risk of MS based on PM2.5 and cigarette smoking in Taiwanese adults. The study included 126,366 Taiwanese between 30 and 70 years old with no personal history of cancer. The Taiwan Biobank (TWB) contained information on MS, cigarette smoking, and covariates, while the Environmental Protection Administration (EPA), Taiwan, contained the PM2.5 information. Individuals were categorized as current, former, and nonsmokers. PM2.5 levels were categorized into quartiles: PM2.5 ≤ Q1, Q1 < PM2.5 ≤ Q2, Q2 < PM2.5 ≤ Q3, and PM2.5 > Q3, corresponding to PM2.5 ≤ 27.137, 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3. The prevalence of MS was significantly different according to PM2.5 exposure (p-value = 0.0280) and cigarette smoking (p-value < 0.0001). Higher PM2.5 levels were significantly associated with a higher risk of MS: odds ratio (OR); 95% confidence interval (CI) = 1.058; 1.014-1.104, 1.185; 1.134-1.238, and 1.149; 1.101-1.200 for 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3, respectively. The risk of MS was significantly higher among former and current smokers with OR; 95% CI = 1.062; 1.008-1.118 and 1.531; 1.450-1.616, respectively, and a dose-dependent p-value < 0.0001. The interaction between both exposures regarding MS was significant (p-value = 0.0157). Stratification by cigarette smoking revealed a significant risk of MS due to PM2.5 exposure among nonsmokers: OR (95% CI) = 1.074 (1.022-1.128), 1.226 (1.166-1.290), and 1.187 (1.129-1.247) for 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3, respectively. According to PM2.5 quartiles, current smokers had a higher risk of MS, regardless of PM2.5 levels (OR); 95% CI = 1.605; 1.444-1.785, 1.561; 1.409-1.728, 1.359; 1.211-1.524, and 1.585; 1.418-1.772 for PM2.5 ≤ 27.137, 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3, respectively. After combining both exposures, the group, current smokers; PM2.5 > 38.205 μg/m3 had the highest odds (1.801; 95% CI =1.625-1.995). PM2.5 and cigarette smoking were independently and jointly associated with a higher risk of MS. Stratified analyses revealed that cigarette smoking might have a much higher effect on MS than PM2.5. Nonetheless, exposure to both PM2.5 and cigarette smoking could compound the risk of MS.

Primary Care Utilization, Preventative Screening, and Control of Metabolic Syndrome in Metabolic Dysfunction-Associated Steatohepatitis Liver Transplant Recipients.

Patients with pre-transplant metabolic dysfunction-associated steatohepatitis (MASH) are at high risk of metabolic syndrome (MetS) after liver transplant. While many patients are co-managed by a transplant team, most preventative screening and MetS management may occur in the primary care setting. We aimed to evaluate primary care utilization by MASH liver transplant recipients as well as MetS screening and control. We conducted a retrospective chart review that included adults who underwent liver transplant for MASH or cryptogenic cirrhosis at a single institution from January 2010 to December 2016, had available primary care data, and at least 36-months of follow-up post-transplant. Measures included primary care utilization, adherence to screening guidelines, and control of MetS. We used Fischer's exact test to explore the association of primary care utilization with screening and control. A total of 37 patients met inclusion criteria with 366 visits reviewed. The median time to first visit was 68 days post-transplant and patients had a median of 9 total visits. Few patients met screening guidelines for diabetes (8.1%) or hyperlipidemia (10.8%). The percentage of patients with control of obesity, hypertension, diabetes, and hyperlipidemia decreased over the 36-month follow-up period. Primary care utilization was not associated with adherence to screening recommendations for diabetes (P = .141) or hyperlipidemia (P = .103). Higher primary care utilization was not associated with control of hypertension (P = .107), diabetes (P = .871), or hyperlipidemia (P = .999). More research is needed to investigate barriers to screening and management of MetS conditions in this high-risk patient population in the primary care setting as well as to optimize post-transplant care coordination.

Short communication: Nutrient intake and total caloric intake are not entirely proportionate to metabolic disease prevalence

BackgroundDietary composition has been brought up as one of the main causes of the dramatic rise of metabolic disease over the past years. Intake of specific (macro)nutrients such as fat and sugar have been associated with higher risk of metabolic syndrome, as well as a general excessive energy intake. In a previous study, we investigated trends in (macro)nutrient intake and metabolic disease in the United States, but total caloric intake was not addressed. MethodsIn this follow-up study, data on total caloric intake per capita per day was collected for the United States from 1900 until now. Total caloric intake was also calculated based on previously collected data on nutrient intake per capita per day. Trends were visualized and statistically compared with data previously collected regarding metabolic syndrome, obesity, and diabetes. ResultsIt was found that total caloric intake has risen considerably, from approximately 3200 in the year 1900 to nearly 4000 from the year 2000 until now. The caloric intake did not correlate with the trends in metabolic disease prevalence, except for diagnosed (pre)diabetes. ConclusionsAs highlighted in our previous work, there is a discrepancy between nutrient and caloric intake and the steep rise in metabolic disease. This suggests that there are other factors that need to be addressed in future studies, in addition to excess nutrient and energy intake, as suspected causes of the metabolic disease epidemic.

The Polymorphism rs17300539 in the Adiponectin Promoter Gene Is Related to Metabolic Syndrome, Insulin Resistance, and Adiponectin Levels in Caucasian Patients with Obesity.

Background and Aims: The present study was designed to investigate SNP rs17300539 in the ADIPOQ gene and its relationships with obesity, metabolic syndrome (MS), and serum circulating adiponectin. Methods: The present design involved a Caucasian population of 329 subjects with obesity. Anthropometric and adiposity parameters, blood pressure, biochemical parameters, and the percentage of patients with metabolic syndrome were recorded. The ADIPOQ gene variant (rs17300539) genotype was evaluated. Results: The percentage of patients with different genotypes of the rs17300539 polymorphism in this sample was 86.0% (n = 283) (GG), 11.2% (n = 37) (GA), and 2.7% (n = 9) (AA). The allele frequency was G (0.76) and A (0.24). Applying the dominant genetic model (GG vs. GA + AA), we reported differences between genotype GG and genotype GA + AA for serum adiponectin levels (Delta: 7.5 ± 1.4 ng/mL; p = 0.03), triglycerides (Delta: 41.1 ± 3.4 mg/dL; p = 0.01), fastingcirculating insulin (Delta: 4.9 ± 1.1 mUI/L; p = 0.02), and insulin resistance as HOMA-IR (Delta: 1.4 ± 0.1 units; p = 0.02). The remaining biochemical parameters were not related to the genotype of obese patients. The percentages of individuals with MS (OR = 2.07, 95% CI = 1.3-3.88; p = 0.01), hypertriglyceridaemia (OR = 2.66, 95% CI = 1.43-5.01; p = 0.01), and hyperglycaemia (OR = 3.31, 95% CI = 1.26-8.69; p = 0.02) were higher in GG subjects than patients with A allele. Logistic regression analysis reported an important risk of the presence of metabolic syndrome in GG subjects (OR = 1.99, 95% CI = 1.21-4.11; p = 0.02) after adjusting for adiponectin, dietary energy intakes, gender, weight, and age. Conclusions: The GG genotype of rs17300539 is associated with hypertriglyceridaemia, insulin resistance, low adiponectin levels, and a high risk of metabolic syndrome and its components.

Metabolic pathways associated with multi‐morbidity among Black caregivers of persons living with dementia

AbstractBackgroundBlack adults have the highest prevalence of obesity and hypertension, and these multiple chronic conditions increase their risk of morbidity and mortality. Black adults also represent the second largest group of caregivers of persons living with dementia. Gaps exist in our understanding of the physiologic changes associated with multiple chronic conditions in Black caregivers. This study used metabolomics to compare the metabolic profiles of Black caregivers with obesity, with or without hypertension. Our goal was to identify physiologic pathways for targeted interventions to improve morbidity/mortality in this group.MethodHigh‐resolution, untargeted metabolomics assays were run on stored serum samples from Black caregivers (n = 26) with obesity (BMI &gt; = 30kg/m2), among whom 18 also had a diagnosis of hypertension. Linear regression using the xmsPANDA package was employed to identify metabolites differentiating multi‐morbidity. Two‐way hierarchical clustering analysis was used to visualize metabolome‐wide associations with multi‐morbidity. Additionally, metabolic pathways differentially impacted in multi‐morbidity were identified using mummichog.ResultOn average, caregivers were 62.9 (±6.5) years. 88.5% were female and 43% were married. Caregivers had been providing care for about 4.33 (±4) years. A total of 129 metabolites differentiated multi‐morbidity status at a p value &lt; .05. Among these, key metabolic pathways associated with obesity and hypertension were butanoate metabolism and fatty acid activation. Among caregivers with only obesity, metabolites in the butanoate pathway were downregulated, compared to caregivers with both obesity and hypertension. Two exceptions were butyric acid and 2‐hydroxybutyric acid, which were both upregulated in caregivers without multi‐morbidity. In the fatty acid activation pathway, caregivers with only obesity had upregulated metabolites with the exception of icosatrienoic acid and dihomo‐gamma‐linolenic acid, which were down‐regulated.ConclusionIn caregivers with obesity, pathways associated with butanoate metabolism and fatty acid activation significantly differentiated hypertensive status. Healthcare interventions targeting caregiver education on diet/exercise may help optimize fatty acid activation in Black caregivers, thereby helping to reduce their risk of developing multi‐morbidities with hypertension. In addition, expanded health assessment of Black caregivers should be considered, as they may be at high risk for metabolic syndrome due to perturbed fatty acid and butanoate pathway functioning.

Abstract 15781: Associations Between Hysterectomy and Incident Metabolic Syndrome: The Multi-Ethnic Study of Atherosclerosis (MESA)

Background: Metabolic syndrome is linked to increased risk of incident atherosclerotic cardiovascular disease (CVD), heart failure, and all-cause mortality. Notable associations exist between hysterectomy with bilateral salpingo-oophorectomy and metabolic syndrome. However, there is emerging evidence that even with ovarian conservation, hysterectomy independently increases long-term risk for CVD. Despite these associations, extant literature on the independent link between ovary-sparing hysterectomy and metabolic syndrome is scarce. We, therefore, examined the associations between hysterectomy with ovarian preservation and metabolic syndrome risk in a multi-ethnic cohort. Methods: We studied 1,355 female MESA participants who had data on self-reported history of hysterectomy, oophorectomy, and hystero-oophorectomy and were free of metabolic syndrome and CVD at exam 1 (2000-2002). Metabolic syndrome was defined by the NCEP Adult Treatment Panel III criteria. We used multivariable Cox regression models to evaluate the associations between hysterectomy/oophorectomy subgroups and incident metabolic syndrome from exams 2 (2002-2004) to 6 (2016-2018). Results: The mean ± SD age was 59.0 ± 9.5 years, with 42% White, 27% Black, 19% Hispanic, and 13% Chinese-American participants. 29% and 22% had a history of hysterectomy and oophorectomy, respectively. Over a median follow-up of 10.5 (3.01-17.62) years, there were 750 metabolic syndrome events. Hysterectomy [HR 1.32; 95% CI (1.01-1.73)] and hystero-oophorectomy [1.40 (1.13-1.74)] were strongly associated with metabolic syndrome (Table) . Conclusion: Hysterectomy with ovarian preservation is independently associated with a higher risk of metabolic syndrome. If our findings are confirmed by other studies, screening and preventive strategies focused on females with ovary-sparing hysterectomy and the pathways driving these associations should be explored.

Independent and joint associations of cardiorespiratory fitness and lower-limb muscle strength with cardiometabolic risk in older adults.

The aim of this study was to investigate the independent and joint associations of low cardiorespiratory fitness and lower-limb muscle strength with cardiometabolic risk in older adults. A total of 360 community-dwelling older adults aged 60-80 years participated in this cross-sectional study. Cardiometabolic risk was based on the diagnosis of Metabolic Syndrome and poor Ideal Cardiovascular Health according to the American Heart Association guidelines. Cardiorespiratory fitness and lower-limb muscle strength were estimated using the six-minute walk and the 30-second chair stand tests, respectively. Participants in the 20th percentile were defined as having low cardiorespiratory fitness and lower-limb muscle strength. Poisson's regression was used to determine the prevalence ratio (PR) and 95% confidence intervals (CI) of Metabolic Syndrome and poor Ideal Cardiovascular Health. Participants with low cardiorespiratory fitness alone and combined with low lower-limb muscle strength were similarly associated with a higher risk for Metabolic Syndrome (PR 1.27, 95% CI 1.09-1.48, and PR 1.32, 95% CI 1.10-1.58, respectively), and poor Ideal Cardiovascular Health (PR 1.76, 95% CI 1.25-2.47, and PR 1.65, 95% CI 1.19-2.28, respectively). Low lower-limb muscle strength alone was not associated with a higher risk for either Metabolic Syndrome or poor Ideal Cardiovascular Health (PR 1.23, 95% CI 0.81-1.87, and PR 1.11, 95% CI 0.89-1.37, respectively). Low cardiorespiratory fitness alone or combined with low lower-limb muscle strength, but not low lower-limb muscle strength alone, was associated with a higher cardiometabolic risk in older adults. The assessment of physical fitness may be a "window of opportunity" to identify youngest-old adults with a high cardiovascular disease risk.

The effect of exercise on the risk of metabolic syndrome associated with sleep insufficiency: a cross-sectional study.

Sleep disturbance and insufficient sleep have been linked to metabolic syndrome, increasing cardiovascular disease and mortality risk. However, few studies investigate the joint effect of sleep and exercise on metabolic syndrome. We hypothesized that regular exercise can mitigate the exacerbation of metabolic syndrome by sleep insufficiency. The aim of this study was to investigate whether exercise can attenuate or eliminate the relationship between sleep insufficiency and metabolic syndrome. A total of 6,289 adults (mean age = 33.96 years; women: 74.81%) were included in the study, a cross-sectional study conducted based on the results of employee health screening questionnaires and databases from a large healthcare system in central Taiwan. Participants reported sleep insufficiency or not. Self-reported exercise habits were classified into 3 levels: no exercise, exercise <150 min/week, and exercise ≧150 min/week. Multiple logistic regression and sensitivity analyses were conducted to understand the joint associations of sleep patterns and exercise with metabolic syndrome with exposure variables combining sleep duration/disturbances and PA. Compared with the reference group (sufficient sleep), individuals with sleep insufficiency had a higher risk for metabolic syndrome [adjusted odds ratio (AOR) = 1.40, 95% confidence interval (95% CI): 1.01-1.94, p < 0.05] in females aged 40-64 years, but not in other populations. Sleep insufficiency was not associated with the risk of metabolic syndrome among individuals achieving an exercise level of <150 min/week, and in particular among those achieving ≧150 min/week in all populations in our study. Sleep insufficiency was related to a higher risk of metabolic syndrome in female healthcare staff aged 40-64 years. Being physically active with exercise habits in these individuals, the risk of metabolic syndrome was no longer significant.

Association with Combined Occupational Hazards Exposure and Risk of Metabolic Syndrome: A Workers' Health Examination Cohort 2012–2021

BackgroundThis study aimed to evaluate the association between exposure to occupational hazards and the metabolic syndrome. A secondary objective was to analyze the additive and multiplicative effects of exposure to risk factors. MethodsThis retrospective cohort was based on 31,615 health examinees at the Pusan National University Yangsan Hospital in Republic of Korea from 2012–2021. Demographic and behavior-related risk factors were treated as confounding factors, whereas three physical factors, 19 organic solvents and aerosols, and 13 metals and dust were considered occupational risk factors. Time-dependent Cox regression analysis was used to calculate hazard ratios. ResultsThe risk of metabolic syndrome was significantly higher in night shift workers (hazard ratio = 1.45: 95% confidence interval = 1.36–1.54) and workers who were exposed to noise (1.15:1.07–1.24). Exposure to some other risk factors was also significantly associated with a higher risk of metabolic syndrome. They were dimethylformamide, acetonitrile, trichloroethylene, xylene, styrene, toluene, dichloromethane, copper, antimony, lead, copper, iron, welding fume, and manganese. Among the 28 significant pairs, 19 exhibited both positive additive and multiplicative effects. ConclusionsExposure to single or combined occupational risk factors may increase the risk of developing metabolic syndrome. Working conditions should be monitored and improved to reduce exposure to occupational hazards and prevent the development of the metabolic syndrome.

Prevalence of polycystic ovary syndromes (PCOS) in adolescent girls and young women: A questionnaire-based study

One of the most prevalent metabolic disorders among women of reproductive age is polycystic ovarian syndrome (PCOS).Menstrual dysfunction and androgen excess symptoms, such as hirsutism and acne, are common in women with PCOS. Additionally, there may be an increased risk of other morbidities such as obesity, insulin resistance, type 2 diabetes mellitus, cardiovascular diseases, infertility, cancer, and psychological disorders.This study is an attempt to summarise the prevalence of polycystic ovarian syndrome(PCOS) in adolescent girls and young women residing in the National Capital Region belonging to the age group of 11-30 years.The study was questionnaire-based and carried out for a duration of 6 months with 267 participants. The BMI of the participants was calculated using the formula: BMI= weight in kgs/ height in m2. PCOS was diagnosed using a questionnaire with Rotterdam’s criteria.The prevalence of PCOS was found to be 77.1%. The mean age group at which maximum number of participants were diagnosed with PCOS was 18-20 years. The BMI (BMI=kg/m2) of all the participants was calculated and 8% participants came under the obese category. 90% of the participants were aware of PCOS, 79.2% participants agreed PCOS is increasing rapidly while 19.3% participants had no idea about PCOS.The study concludes that respondents were less aware of the actual prevalence of PCOS and also associate the disorder’s manifestation with lifestyle variations. Even at this young age adolescent girls and women are at a high risk of metabolic syndrome because of the increased prevalence of sedentary lifestyles and lack of physical activity. A good diet, regular exercise, early diagnosis, and treatment modalities available are all critical components of raising awareness about PCOS and the risk factors associated with it.

Obesogenic diet and metabolic syndrome among adolescents in India: data-driven cluster analysis

BackgroundMetabolic syndrome is on the rise in India and is primarily linked to obesogenic dietary habits. The synergy of both is a prominent risk factor for cardiovascular diseases (CVDs). Hence, the present study aims to unveil clusters at high risk of metabolic syndrome and ascertain cluster characteristics based on dietary patterns among adolescents aged 10–19 years.Data and methodsThe study utilizes secondary data, i.e., Comprehensive National Nutrition Survey conducted in 2016-18. The study sample includes children and adolescents aged 10–19 years. An unsupervised learning algorithm was used to ascertain possible clusters in the data based on individuals’ dietary patterns. The k-means were used to cluster the data according to their dietary patterns. To determine the number of clusters elbow method was used, and appropriate validation indices were also obtained for the final k. Further, to ascertain the distribution of the obesogenic dietary patterns and metabolic conditions in each cluster was analysed. Bivariate descriptive analysis was used to draw further inferences.ResultsThe k-means clusters identified five optimum clusters based on 12,318 adolescents (6333 males (mean age:14.2 ± 2.8) and 5985 females (mean age:14.3 ± 2.8)) 17 dietary patterns. Clusters were named based on how prudent these were in terms of consuming a healthy diet. Cluster phenotypic characteristics were defined as follows: a cluster of obesogenic diets (24%) constituted the highest proportion of the total sample and was significantly suffering from obesity (p < 0.001), and greater proportions of lipid anomalies (p = 0.51) and hypertension (p = 0.44) but not statistically significant. In contrast, 21% of the sample comprised a plant-based diet cluster and suffered from all deficiencies but folate (p = 0.625), zinc (p = 0.132), and greater proportion from obesity (p = 0.19; not significant), and diabetes (p < 0.001). A cluster of “convenient” (20%) mainly suffered from lipid anomalies (p = 0.00), diabetes (p = 0.03), and a greater proportion from hypertension (p = 0.56) with deficiencies of all the essential vitamins and minerals but significantly from vitamin A (p < 0.001), folate (p < 0.001), and iron (p = 0.017). Lastly, the cluster of those who follow a “Western diet” (17%) was found to have lipid anomalies (p = 0.003), diabetes (p = 0.016), greater proportion of vitamin B12 (p = 0.136), D (p = 0.002), folate (p < 0.001), and iron deficiencies (p = 0.013).Conclusions and relevanceAdolescents in India show a strong association between obesogenic diet and metabolic syndrome. Therefore, the burden of metabolic syndrome at early ages can be prevented by controlling obesogenic dietary practices and addressing micronutrient deficiencies. This may be done by targeted health promotional campaigns in schools and college-going populations in India.

Correlation between hypothyroidism and type 2 diabetes: A cross-sectional study

Diabetes is the most common chronic endocrine disease. Numerous studies suggest that hypothyroidism is associated with hypertension, high cholesterol, and abnormal homocysteine level and patients with hypothyroidism have a higher risk of metabolic syndrome. This prospective study was conducted at Lahore General Hospital to estimate the frequency of hypothyroidism in patients with T2DM. Objectives: To determine the frequency of hypothyroidism in patients with type 2 diabetes mellitus. Study design: This was a cross-sectional study. Setting: Department of Medicine, Lahore General Hospital, Lahore. Duration of study: Study duration was six months from 06-12-2019 to 05-05-2020. Subjects: Hundred patients through Non-probability consecutive sampling. Methods: Patients fulfilling inclusion and exclusion criteria were included. Detailed history and examination and Free Serum Thyroxine (T4), Thyroid Stimulating Hormone (TSH) levels were measured in all patients using standard immunoassay in the hospital laboratory. Data was analysed using SPSS 21. Results: Among 100 patients, 64% patients were male and 58% patients were between ages of 41-60 years with mean age of 46.6 + 4.7 years. Regarding blood sugar levels, 62% patients had &lt; 200 mg/dl whereas remaining patients had blood sugar levels of &gt; 200 mg/dl. Results of study showed that 12% of patients had hypothyroidism. Further stratification of data revealed no significant association between different age groups, gender, duration of diabetes, high BMI and presence of hypothyroidism i.e. p value was 0.9801, 0.9081, 0.8825 and 0.9601 respectively. Conclusion: Frequency of hypothyroidism in patients with type 2 diabetes mellitus is high.

Antipsychotic-Induced Metabolic Syndrome: A Review.

Schizophrenia, a serious psychiatric disorder, is among the top 10 global causes of disability and affects nearly 1% of the world population. Antipsychotics constitute the best treatment for patients with schizophrenia, however, this treatment class carries a high risk of metabolic syndrome, including lipid abnormalities. Indeed, the risk of metabolic syndrome would be increased in the population with schizophrenia compared to the general population. The objective is to summarize the prevalence, the mechanisms, and the potential treatments of antipsychotic-induced metabolic syndrome. This is a narrative review of the literature. We searched the electronic database Medline, accessed through PubMed, to find studies that investigated the prevalence and treatments of metabolic syndrome in the adult population using antipsychotics. The prevalence of metabolic syndrome in patients treated with antipsychotics ranges from 37% to 63%. Antipsychotic iatrogenic effects include weight gain/increased waist circumference, dyslipidemia, insulin resistance/type 2 diabetes, and hypertension. Clozapine and olanzapine are reported to precipitate the onset of metabolic syndrome features. In patients with metabolic syndrome, an antipsychotic with less metabolic side effects such as lurasidone, lumateperone, ziprasidone, and aripiprazole should be prioritized. Unlike medications, aerobic exercise and dietetic counseling were found to be efficient as the nonpharmacologic treatment of antipsychotic-induced metabolic syndrome. Few pharmacological treatments were proven effective against weight gain in this patient population. The risk of metabolic syndrome induced by antipsychotics should be early recognized and closely monitored. Primary and secondary prevention of metabolic syndrome or onset of its feature might help reduce the risk of death for patients using antipsychotics.