Ethnic, gender, and age-related differences in patients with the metabolic syndrome

Nontargeted and targeted metabolic profile of metabolic syndrome patients: a study based on Yi and Han populations in Yunnan

Objective

Ultra-high-performance liquid chromatography-time-of-flight mass spectrometry (UHPLC-TOF-MS) was employed to analyze serum metabolites and metabolic pathways associated with metabolic syndrome (MS) in the Yi and Han populations of Yunnan.

Methods

Participants included individuals diagnosed with MS and healthy controls from the Yi and Han populations of Yunnan. Serum nontargeted and amino acid-targeted metabolomics analyses were conducted to identify differential serum metabolites (DEMs) and metabolic pathways associated with MS pathogenesis in these two ethnic groups.

Results

Nontargeted metabolomics analysis revealed 2,762 DEMs in the MS group of the Han population, while 1,535 DEMs were identified in the MS group of the Yi population [variable importance in projection (VIP)>1, P<0.05]. Venn analysis highlighted common and unique DEMs between the two populations. KEGG pathway analysis identified seven significantly enriched pathways in the Han group and five in the Yi group, primarily involving amino acid synthesis and metabolism. To investigate the role of amino acids in MS, serum levels of 71 endogenous amino acids were quantified. In the MS group of the Han population, 19 differential amino acids were identified, significantly enriched in pathways related to D-glutamine and D-glutamate metabolism, as well as cysteine and methionine metabolism. In the Yi population, six differential amino acids were identified, with significant enrichment in D-glutamine and D-glutamate metabolism, sulfur metabolism, and valine, leucine, and isoleucine biosynthesis.

Conclusion

Our study investigates metabolic differences in metabolic syndrome (MS) between Yi and Han populations through nontargeted and targeted metabolomics approaches, identifying both common and unique metabolites and metabolic pathways associated with MS, especially amino acid metabolic disorders, including glycine, serine, and threonine metabolism, D-glutamine and D-glutamate metabolism, which may play critical roles in regulating different metabolic dysfunctions and worth further exploration in MS pathogenesis, which might provide insights for the effective prevention and treatment of MS in various populations.

Polycystic Ovary Syndrome, Metabolic Syndrome, and Inflammation in the Hispanic Community Health Study/Study of Latinos

CONTEXT

Polycystic ovary syndrome (PCOS) is a multifaceted endocrine disorder with reproductive and metabolic dysregulation. PCOS has been associated with inflammation and metabolic syndrome (MetS); however, the moderating effects of inflammation as measured by C-reactive protein (CRP) and menopause on the PCOS-MetS association have not been studied in Hispanic/Latinas with PCOS who have a higher metabolic burden.

OBJECTIVE

We studied the cross-sectional association between PCOS and (1) MetS in 7316 females of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), (2) subcomponents of MetS including impaired fasting glucose (IFG) and elevated triglycerides (TGL), and (3) effect modification by menopausal status and CRP.

DESIGN

The HCHS/SOL is a multicenter, longitudinal, and observational study of US Hispanic/Latinos. Our study sample included females from visit 2 with self-reported PCOS and MetS (ages 23-82 years).

RESULTS

PCOS (prevalence = 18.8%) was significantly associated with MetS prevalence [odds ratio [odds ratio (OR) = 1.41 (95% confidence interval: 1.13-1.76)], IFG and TGL (OR = 1.42 (1.18-1.72), OR = 1.48 (1.20-1.83), respectively]. We observed effect modification by menopausal status (ORpre = 1.46, Pint= .02; ORpost = 1.34, Pint= .06) and CRP (ORelevated = 1.41, Pint= .04; ORnormal = 1.26, Pint= .16) on the PCOS-MetS association. We also observed a superadditive interaction between CRP and PCOS, adjusting for which resulted in an attenuated effect of PCOS on MetS (OR = 1.29 [0.93-1.78]).

CONCLUSION

Hispanic/Latino females with PCOS had higher odds of MetS, IFG, and elevated TGL than their peers without PCOS. Interaction analyses revealed that the odds of MetS are higher among PCOS females who have premenopausal status or high inflammation. Interventions in Hispanic/Latinas should target these outcomes for effective management of the disease.

Effects of sleep on sarcopenia in individuals with metabolic syndrome: A systematic review

Sarcopenia and metabolic syndrome are present in a large percentage of the elderly population throughout the world. Much of its management is focused on primary prevention, and considering that sleep disturbances also accompany the same aging process associated with these two pathologies, we propose a relationship between sleep impairment and the development of sarcopenia in individuals with metabolic syndrome. A search was carried out in databases following he PRISMA scheme, obtaining fifteen studies. As for the main results: four of eight studies referring to sleep duration relate more than nine hours of sleep with an increased risk of sarcopenia, three of the five studies relate poorer sleep quality with worse body composition data or increased risk of sarcopenia and two studies related late chronotype with a higher risk of sarcopenia and metabolic syndrome. After analyzing the disparity of outcomes, it is necessary to homogenize methodologies to compare the different results.

Increased odds of metabolic syndrome among adults with depressive symptoms or antidepressant use

Metabolic syndrome (MetS) is a condition that includes a cluster of risk factors for cardiovascular disease. In this paper, we aimed to evaluate the association between depressive symptoms, antidepressant use, duration of antidepressant use, antidepressant type and MetS. Data from the 2005-2018 National Health and Nutrition Examination Surveys were used in this study. Adults were included if they responded to the depressive symptoms and prescription medications questionnaires and had measures of blood pressure, waist circumference, triglycerides, high-density lipoprotein, and fasting plasma glucose. Participants were categorized by their antidepressant use (yes/no), type, and duration. This study included 14,875 participants (50.45% females), with 3616 (23.45%) meeting the criteria for MetS. Participants with higher depressive symptom scores (aOR = 1.04, 95% CI: 1.02, 1.05, p < 0.001) or those with depressive symptoms (aOR = 1.42, 95% CI: 1.17, 1.73, p = 0.001) had higher odds of MetS. A similar associations was seen among those who were on antidepressants compared to those who were not on antidepressants (aOR = 1.24, 95% CI: 1.03, 1.50, p = 0.025). Duration of antidepressant use was not significantly associated with MetS. Participants on tricyclic antidepressants had greater odds of MetS compared to those not taking any antidepressants (aOR = 2.27, 95% CI: 1.31, 3.93, p = 0.004). Our study provides evidence of the association between depressive symptoms, antidepressant use, and MetS, highlighting the importance of monitoring metabolic and cardiovascular alterations in individuals of depression.

Metabolic Syndrome as a Risk Factor Among Lebanese Patients with Substance Use Disorder Undergoing Treatment for Recovery Through Rehabilitation or Opioid Substitution Treatment

Background/Objectives: Data about metabolic syndrome (MS) in people who use drugs (PWUD) undergoing treatment for recovery are limited. We aimed to explore the extent of the MS and its predominant components and determinants in a sample of PWUD undergoing treatment for recovery through rehabilitation or opioid substitution treatment (OST) in Lebanon. Furthermore, we investigated the effect of each treatment modality on the MS; Methods: This was a cross-sectional study, in which demographics and treatment-related, nutritional, and biochemical data of the participants were collected. MS was defined according to the American Heart Association and the National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria. Descriptive statistics were presented, and bivariate and multivariate analyses were conducted; Results: A total of 155 male subjects with the following characteristics were included: OST: n = 80; rehabilitation: n = 75; mean age: 32.53 ± 8.39 years; mean body mass index (BMI): 27.41 ± 4.99 Kg/m2; mean duration of treatment: 18 months. More than half of the sample had low HDL-C (56.8%) and/or elevated blood pressure (51.6%), 42.9% had elevated WC, 21.9% had elevated TG, and 12.3% had elevated FBS. Furthermore, 7.2% of the sample had no components of the MS, 29.2% had one component, 40.9% had two components, 16.9% had three components, and 5.8% had four components. MS was identified in 22.7% of the sample. Higher age was associated with higher odds of being diagnosed with MS (OR = 1.072; 95% CI: 1.021-1.126), whereas higher duration of current treatment was associated with lower odds (OR = 0.969; 95% CI: 0.944-0.995); Conclusions: MS and its components are prevalent in PWUD undergoing treatment for recovery. Routine screening and preventive measures are essential to prevent metabolic syndrome, particularly among older people and treatment newcomers.

Cardiometabolic risk factor clusters in older adults using latent class analysis on the Bushehr elderly health program

Metabolic syndrome (MetS), comprising obesity, insulin resistance, hypertension, and dyslipidemia, increases the risk of type II diabetes mellitus and cardiovascular disease. This study aimed to identify the prevalence and determinants of specific clusters of the MetS components and tobacco consumption among older adults in Iran. The current study was conducted in the second stage of the Bushehr Elderly Health (BEH) program in southern Iran-a population-based cohort including 2424 subjects aged ≥ 60 years. Latent class analysis (LCA) was used to identify MetS and tobacco consumption patterns. Multinomial logistic regression was conducted to investigate factors associated with each MetS class, including sociodemographic and behavioral variables. Out of 2424 individuals, the overall percentage of people with one or more components of MetS or current tobacco use was 57.8% and 20.8%, respectively. The mean (SD) age of all participants was 69.3(6.4) years. LCA ascertained the presence of four latent classes: class 1 ("low risk"; with a prevalence of 35.3%), class 2 ("MetS with medication-controlled diabetes"; 11.1%), class 3 ("high risk of MetS and associated medication use"; 27.1%), and class 4 ("central obesity and treated hypertension"; 26.4%). Compared to participants with a body mass index (BMI) < 30, participants with BMI ≥ 30 were more likely to belong to class 3 (OR 1.91, 95% CI 1.31-2.79) and class 4 (OR 1.49, 95% CI 1.06-2.08). Polypharmacy was associated with membership in class 2 (OR 2.07, 95% CI 1.12-3.81), class 3 (OR 9.77, 95% CI 6.12-15.59), and class 4 (OR 1.76, 95% CI 1.07-2.91). The elevated triglyceride-glucose index was associated with membership in class 2 (OR 12.33, 95% CI 7.75-19.61) and class 3 (OR 12.04, 95% CI 8.31-17.45). Individuals with poor self-related health were more likely to belong to class 3 (OR 1.43; 95% CI 1.08-1.93). Four classes were identified among older adults in Iran with distinct patterns of cardiometabolic risk factors. Segmenting elderly individuals into these cardiometabolic categories has the potential to enhance the monitoring and management of cardiometabolic risk factors. This strategy may help reduce the severe outcomes of metabolic syndrome in this susceptible population.

Developing a risk model for early diagnosis of metabolic syndrome in Chinese adults aged 40 years and above based on BMI/HDL-C: a cross-sectional study

BACKGROUND

This study aimed to compare the diagnostic accuracy of four indicators, including waist-to-height ratio (WHTR), vascular adiposity index (VAI), TG/HDL-C, and BMI/HDL-C for metabolic syndrome (MS) in Chinese adults aged 40 years and above. Additionally, the study aimed to develop an efficient diagnostic model displayed by a nomogram based on individual's BMI and circulating HDL-C level.

METHODS

A cross-sectional study was conducted on 699 participants aged 40 years and above. Quartiles of BMI/HDL-C, TG/HDL-C, VAI, and WHTR were used as independent variables, and metabolic syndrome was used as the dependent variable. Logistic regression was conducted to explore the impact of each parameter on the risk of MS. The areas under the receiver operating characteristics were compared to determine the accuracy of the indicators in diagnosing MS in the participants. Logistic regression was run to construct the nomograms, and the performance of the nomogram was assessed by a calibration curve.

RESULTS

MS subjects had higher levels of BMI, BFM, PBF, VFA, AMC, WC, SCR, TG, and insulin, but lower LDH and HDL-C levels than the subjects without MS. The BMI/HDL-C ratio was positively correlated with the prevalence of MS and its components. The final diagnostic model included five variables: gender, BFM, WC, TG, and BMI/HDL-C. The model showed good calibration and discrimination power with an AUC of 0.780. The cut-off value for the nomogram was 0.623 for diagnosing MS.

CONCLUSIONS

BMI/HDL-C ratio was an independent risk factor for MS in Chinese adults. BMI/HDL-C was significantly correlated with MS and its components. BMI/HDL-C was the most powerful diagnostic indicator compared to other indicators, including TG/HDL-C, VAI and WHTR for diagnosing MS. The nomogram drawn based on the diagnostic model provided a practical tool for diagnosing MS in Chinese adults.

Early-Life Gut Microbiota: A Possible Link Between Maternal Exposure to Non-Nutritive Sweeteners and Metabolic Syndrome in Offspring

Metabolic syndrome (MetS) is recognized as a group of metabolic abnormalities, characterized by clustered interconnected traits that elevate the risks of obesity, cardiovascular and atherosclerotic diseases, hyperlipidemia, and type 2 diabetes mellitus. Non-nutritive sweeteners (NNS) are commonly consumed by those with imbalanced calorie intake, especially in the perinatal period. In the past, accumulating evidence showed the transgenerational and mediated roles of human microbiota in the development of early-life MetS. Maternal exposure to NNS has been recognized as a risk factor for filial metabolic disturbance through various mechanisms, among which gut microbiota and derived metabolites function as nodes linking NNS and MetS in early life. Despite the widespread consumption of NNS, there remain growing concerns about their transgenerational impact on metabolic health. There is growing evidence of NNS being implicated in the development of metabolic abnormalities. Intricate complexities exist and a comprehensive understanding of how the gut microbiota interacts with mechanisms related to maternal NNS intake and disrupts metabolic homeostasis of offspring is critical to realize its full potential in preventing early-life MetS. This review aims to elucidate the effects of early-life gut microbiota and links to maternal NNS exposure and imbalanced offspring metabolic homeostasis and discusses potential perspectives and challenges, which may provide enlightenment and understanding into optimal perinatal nutritional management.

Associations between metabolic overweight/obesity phenotypes and mortality risk among patients with chronic heart failure

Background

Metabolic disorders and overweight or obesity are highly prevalent and intricately linked in patients with chronic heart failure (CHF). However, it remains unclear whether there is an interactive effect between these conditions and the prognosis of heart failure, and whether such an interaction is influenced by stratification based on age and sex.

Methods

A total of 4,955 patients with CHF were enrolled in this study. Metabolic status was assessed according to the presence or absence of metabolic syndrome (MetS). BMI categories included normal weight and overweight or obesity (BMI < 24, ≥ 24 kg/m2). Patients were divided into four phenotypes according to their metabolic status and BMI: metabolically healthy with normal weight (MHNW), metabolically unhealthy with normal weight (MUNW), metabolically healthy with overweight or obesity (MHO), and metabolically unhealthy with overweight or obesity (MUO). The incidence of primary outcomes, including all-cause and cardiovascular (CV) death, was recorded.

Results

During a mean follow-up of 3.14 years, a total of 1,388 (28.0%) all-cause deaths and 815 (16.4%) CV deaths were documented. Compared to patients with the MHNW phenotype, those with the MUNW (adjusted hazard ratio [aHR], 1.66; 95% confidence interval [CI], 1.38-2.00) or MUO (aHR, 1.42 [95% CI, 1.24-1.63]) phenotypes had a greater risk of all-cause death, and those with the MHO phenotype (aHR, 0.61 [95% CI, 0.51-0.72]) had a lower risk of all-cause death. Moreover, the above phenomenon existed mainly among males and elderly females (aged ≥ 60 years). In nonelderly females (aged < 60 years), the detrimental effects of MetS were lower (aHR, 1.05 [95% CI, 0.63-1.75] among MUNW group and aHR, 0.52 [95% CI, 0.34-0.80] among MUO group), whereas the protective effects of having overweight or obesity persisted irrespective of metabolic status (aHR, 0.43 [95% CI, 0.26-0.69] among MHO group and aHR, 0.52 [95% CI, 0.34-0.80] among MUO group). Similar results were obtained in the Cox proportional risk analysis of the metabolic overweight/obesity phenotypes and CV death.

Conclusions

In male and elderly female patients with CHF, the detrimental effects of MetS outweighed the protective benefits of having overweight or obesity. Conversely, in nonelderly females, the protective effects of having overweight or obesity were significantly greater than the adverse impacts of MetS.

Positive association between blood ethylene oxide levels and metabolic syndrome: NHANES 2013-2020

Purpose

The exposure of Ethylene oxide (EO) is linked to systemic inflammatory response and various cardiovascular risk factors. Hemoglobin's binding to ethylene oxide (HbEO) was used to measure serum EO level. This research aims to explore the association between metabolic syndrome (MetS) and HbEO, and between HbEO and components of metabolic syndrome.

Method

This research included 1842 participants from 2013 to 2020 in National Health and Nutrition Examination Survey (NHANES) database. Weighted logistic regression models were used to analyze the relationship between HbEO and metabolic syndrome risk, using odds ratio (OR) and 95% confidence interval (CI). The restricted cubic spline plot explores whether there is a dose-response relationship between HbEO and MetS risk. Subgroup analysis was performed to analyze study heterogeneity.

Results

Significant differences were found in gender, educational level, marital status, diabetes status and hypertension among different groups (P < 0.001, P = 0.007, P = 0.003, P < 0.001, P < 0.001, respectively). The serum HbEO level exhibited positive correlation with metabolic syndrome risk in Q2 level (OR=1.64, 1.04~2.48), Q3 level (OR=1.99, 1.29~3.08), and Q4 level (OR=2.89, 1.92~4.34). The dose-response association suggested a possible linear association between serum HbEO and metabolic syndrome risk (P-overall=0.0359, P-non-linear=0.179). L-shaped association was found between HbEO and the risk of MetS in female population, obese population and mid-age and elder population (P-overall<0.001, P-non-linear=0.0024; P-overall=0.0107, P-non-linear=0.0055 P-overall<0.001 P-non-linear=0.0157).

Conclusion

This study indicates a linear correlation between MetS and HbEO, with MetS risk escalating as HbEO levels increase. The prevalence of MetS varies depending on BMI, age and gender, and these factors can also influence MetS prevalence when exposed to EO.

Differences in metabolic biomarkers in people with schizophrenia who are of Mexican descent compared to non-Hispanic whites

Metabolic dysfunction is highly prevalent and contributes to premature mortality among people with schizophrenia (PwS), especially in Hispanic/Latino/a/x/e PwS, compared to non-Hispanic White (NHW) PwS. This study evaluated the relative contributions of Mexican descent and schizophrenia diagnosis to metabolic biomarker levels. This cross-sectional study included 115 PwS and 102 non-psychiatric comparison (NC) participants - English-speakers aged 26-66 years, 27% Mexican descent, and 52% women across both groups. Assessments included evaluations of BMI, psychopathology, and fasting metabolic biomarkers. We used ANOVA analyses to compare metabolic outcomes between diagnostic and ethnic subgroups, linear regression models to examine associations between Mexican descent and metabolic outcomes, and Spearman's correlations to examine relationships between metabolic outcomes and illness-related variables in PwS. Mexican PwS had higher hemoglobin A1c levels, insulin resistance, and body mass index than NHW PwS. Mexican descent was associated with higher hemoglobin A1c levels, insulin resistance, body mass index, and leptin levels, controlling for age, sex, depression, education, and smoking. Among Mexican PwS, worse negative symptoms were associated with greater insulin resistance. These findings support the possibility of ethnicity-based differences in metabolic dysregulation, though further investigation is warranted to create targeted health interventions for Hispanic PwS.

Associations of Relative Fat Mass, a Novel Adiposity Indicator, with Non-Alcoholic Fatty Liver Disease and Cardiovascular Disease: Data from SPECT-China

Purpose

This study aimed to determine the associations of relative fat mass (RFM), a novel adiposity indicator, with the prevalence of non-alcoholic fatty liver disease (NAFLD) and cardiovascular disease (CVD) and compared the disease discriminative ability of RFM with other common adiposity indicators in the general Chinese population.

Patients and Methods

This cross-sectional study consisted of 11,532 adult participants from the SPECT-China study (2014-2016). We included RFM and six other adiposity indicators, including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), visceral adiposity index (VAI), and lipid accumulation product (LAP). Binary logistic regression analysis was used to assess the relationship between adiposity indicators and the prevalence of NAFLD and CVD. The receiver operating characteristic (ROC) curve was used to evaluate the ability to screen NAFLD and CVD.

Results

After adjusting for confounding variables, RFM showed a strong association with the prevalence of NAFLD and CVD. In men, each 1-SD (standard deviation) increase in RFM was associated with more than 3-fold increased risk of NAFLD (OR: 4.33, 95% CI: 3.79-4.93) and 66% increased risk of CVD (OR: 1.66, 95% CI: 1.36-2.02); in women, per 1-SD increase in RFM was associated with about 4-fold increased risk of NAFLD (OR: 5.16, 95% CI: 4.62-5.77) and 26% increased risk of CVD (OR: 1.26, 95% CI: 1.08-1.47). ROC analysis showed that RFM and WHtR were the strongest predictors for CVD.

Conclusion

RFM was significantly associated with prevalent NAFLD and CVD in Chinese adults and might be considered a simple tool for disease prediction. Further large longitudinal studies are needed to verify our findings.

Gender differences in metabolic syndrome and its components in southern china using a healthy lifestyle index: a cross-sectional study

BACKGROUND

Lifestyle changes are important for the prevention and management of metabolic syndrome (MetS), but studies that focus on gender differences in the lifestyle risk factors of MetS are limited in China. This research aimed to generate a healthy lifestyle index (HLI) to assess the behavioral risk factors of MetS and its components, and to explore the gender differences in HLI score and other influencing factors of MetS.

METHODS

A convenience sample of 532 outpatients were recruited from a general hospital in Changsha, China. The general information and HLI scores [including physical activity (PA), diet, smoking, alcohol use, and body mass index (BMI)] of the subjects were collected through questionnaires, and each patient's height, weight, waist circumference, and other physical signs were measured. Logistic regression analysis was used to analyze the risk factors of MetS and its components.

RESULTS

The prevalence of MetS was 33.3% for the whole sample (46.3% in males and 23.3% in females). The risk of MetS increased with age, smoking, unhealthy diet, and BMI in males and with age and BMI in females. Our logistic regression analysis showed that lower HLI (male: OR = 0.838,95%CI = 0.757-0.929; female: OR = 0.752, 95%CI = 0.645-0.876) and older age (male: OR = 2.899, 95%CI = 1.446-5.812; female: OR = 4.430, 95%CI = 1.640-11.969) were independent risk factors of MetS, for both sexes.

CONCLUSION

Low levels of HLI and older ages were independent risk factors of MetS in both males and females. The association between aging and MetS risk was stronger in females, while the association between unhealthy lifestyles and MetS risk was stronger in males. Our findings reinforced the expected gender differences in MetS prevalence and its risk factors, which has implications for the future development of gender-specific MetS prevention and intervention programs.

A Single-Point Insulin Sensitivity Estimator (SPISE) of 5.4 is a good predictor of both metabolic syndrome and insulin resistance in adolescents with obesity

Background

The Single-Point Insulin Sensitivity Estimator (SPISE) is a biomarker of insulin sensitivity estimated using BMI and triglycerides and high-density lipoprotein cholesterol. We assessed the accuracy of SPISE to screen obesity-related cardiometabolic risk in children and adolescents.

Method

Cross-sectional validation study for a screening test in a sample of n=725 children and adolescents from an obesity clinic. Weight, height, waist circumference, blood arterial pressure, lipid profile, glucose, insulin and Tanner stage were measured. BMI, BMI for-age-and sex (BAZ), and HOMA-IR were estimated. HOMA-IR values ≥2.1 and ≥3.3 were considered IR in Tanner I-II, ≥3.3 for Tanner III-IV and ≥2.6 for Tanner V, respectively. Metabolic Syndrome (MetS) was diagnosed with the Cook phenotype. SPISE was estimated according to the following algorithm: [600* HDL^0.185/(TG^0.2* BMI^1.338)]. The optimal SPISE cut points for IR and MetS prediction were determined by ROC curve analysis.

Results

In prepubertal obese patients (9.2 ± 2.1y; 18.4% males), the prevalence of IR and MetS was 28.2% y 46.9%, respectively; 58% had severe obesity (BAZ ≥4 SD). In pubertal obese patients (12.6 ± 1.8y; 57% males), the prevalence of IR and MetS was 34.1% and 55.3%, respectively; 34% had severe obesity. In prepubertal children, a SPISE of 6.3 showed the highest sensitivity (73.2%) and specificity (80%) to screen individuals with IR (AUC: 0.80; LR +: 3.3). Likewise, a SPISE of 5.7 got the highest sensitivity (82.6%) and specificity (86.1%) to screen patients with MetS (AUC: 0.87; LR +: 5.4). In pubertal patients, a SPISE of 5.4 showed the highest sensitivity and specificity to screen children and adolescents with both IR (Sn: 76.1%; Sp: 77.5%; AUC: 0.8; LR +: 3.1) and MetS (Sn: 90.4%; Sp: 76.1%; AUC: 0.90; LR +: 3.5).

Conclusion

In children and adolescents with obesity, SPISE has good or very good performance in predicting IR and MetS. SPISE may be considered a relatively simple and low-cost diagnosis tool that can be helpful to identify patients with greater biological risk. In adolescents with obesity, the same cut point allows identification of those at higher risk of both IR and MetS.

Prevalence and associations of metabolic syndrome in patients with alcohol use disorder

Excessive alcohol consumption has been associated with different components of the metabolic syndrome (MetS) such as arterial hypertension, dyslipidemia, type 2 diabetes or obesity. We aimed to analyze the prevalence and associations of MetS in patients with Alcohol Use Disorder (AUD). Cross-sectional study in heavy drinkers admitted for the treatment of AUD between 2013 and 2017. Medical comorbidity, anthropometric data, alcohol use and biological parameters were obtained. MetS was established according to the harmonized definition. A total of 728 patients (22% women) were included; median age was 47 years (IQR: 40–53.5), median alcohol consumption was 160 g/day (IQR: 115–240) and prevalence of MetS was 13.9%. The multivariate analysis showed a significant dose–response effect of estimated glomerular filtration (eGFR) and MetS: relative to patients with eGFR > 90 mL/min, those with eGFR (60–90 mL/min) and those with eGFR < 60 mL/min were 1.93 times (95% CI 1.18–3.15) and 5.61 times (95% CI 1.66–19.0) more likely to have MetS, respectively. MetS was significantly associated with hyperuricemia (OR 2.28, 95% CI 1.36–3.82) and elevated serum GGT (OR 3.67, 95% CI 1.80–7.46). Furthermore, for every increase of 1 year in age, the probability of MetS increased significantly (OR 1.03, 95% CI 1.01–1.05). MetS in heavy drinkers is independently associated with reduced kidney function and metabolic risk factors including hyperuricemia and elevated serum GGT.

Association between depressive symptoms, metabolic risk factors, and cognitive function: cross-sectional results from a community study in Quebec, Canada

OBJECTIVE

To investigate the cross-sectional association between depressive symptoms and metabolic risk factors with cognitive function in a middle-aged population.

METHODS

A stratified subsample of the CARTaGENE (CaG) cohort (n = 1991) was used to compare cognitive function outcomes between groups. The stratification was based on the presence of depressive symptoms and metabolic dysregulation (MetD): the presence of a) neither condition (reference group); b) MetD only; c) depressive symptoms only; and d) both depressive symptoms and MetD. Individuals with type 2 diabetes were excluded. Three cognitive domains were assessed: processing speed, episodic memory, and executive function. An overall cognitive function score, standardized for age and education, was computed. Poor cognitive function was defined as the lower quartile of the overall cognitive function distribution. Linear and logistic regression analyses were conducted.

RESULTS

The poorest cognitive performance was observed in the group with both depressive symptoms and MetD, followed by the group with depressive symptoms only, then the group with MetD only and the reference group. Mean (SD) overall cognition scores for the four groups were -0.25 (1.13), -0.13 (1.05), 0.11 (0.90), and 0.15 (0.93), respectively. Linear regression analyses suggested a linear increase in cognitive function across groups.In the logistic regression analyses, the highest risk of poor cognitive function was observed in the comorbid (depressive symptoms and MetD) group (adjusted OR = 1.99, 95% CI 1.46, 2.71).

CONCLUSION

Comorbidity of depressive symptoms and MetD was associated with reduced cognitive performance in middle-aged adults without diabetes.KEY POINTSPoor cognitive function is a major public health concern and can be potentially prevented by targeting its modifiable risk factors.Metabolic dysregulation and depression have both been independently associated with poor cognitive function.Comorbidity of metabolic dysregulation and depressive symptoms is associated with an increased risk of poor cognitive function in middle-aged individuals.Future health interventions might benefit by screening for comorbidity in patients with poor cognitive function and by targeting depression and metabolic dysregulation together.

Relationship between socio-demographics, body composition, emotional state, and social support on metabolic syndrome risk among adults in rural Mongolia

Background

In Mongolia, where there is a large regional gap in the quality of healthcare services, metabolic syndrome (MetS) is steadily increasing. However, there are few studies on the risk level of MetS and affecting factors among adults living in rural Mongolia. This study aims to explore the relationship between socio-demographics, clinical characteristics, emotional state, and social support on the risk level of MetS prevalence among adults living in rural Mongolia.

Methods

In this cross-sectional study, 143 adults living in the soum area of Dondgovi aimag in Mongolia were recruited. Data collection was conducted from July 2 to 3, 2019. The self-reported questionnaires including socio-demographic, clinical characteristics and emotional status, anthropometric tests using the InBody, and blood sampling tests were conducted. The number of individual diagnostic criteria met was scored as a MetS risk score and classified into 6 groups, from the lowest score of 0 to the highest score of 5. The ordinal logistic regression analysis was used to identify the factors affecting the risk of MetS.

Results

The prevalence of MetS among adults living in rural Mongolia was 58.0%, and the mean MetS risk score was 2.70±1.34 points. In the ordinal logistic regression analysis, age, regular exercise of moderate intensity or higher, InBody score reflecting obesity or sarcopenia, and depression level were statistically significantly associated with the risk score for MetS.

Conclusions

Our study demonstrated that MetS risk levels among adults living in rural Mongolia with limited medical resources were strongly associated with demographic characteristics, body composition and emotional health condition, particularly depression.

Associations between cognitive function, metabolic factors and depression: A prospective study in Quebec, Canada

BACKGROUND

Metabolic risk factors, low cognitive function and history of depression are known risk factors for future depressive episodes. This paper aims to evaluate the potential interactions between these factors on the risk of a major depressive episodes in middle-age.

METHODS

Baseline and follow-up data from a population-based study of Quebec, Canada were used. The sample consisted of 1788 adults between 40 and 69 years of age without diabetes. Cognitive function and metabolic risk factors were assessed at baseline. Three cognitive domains were assessed: processing speed, episodic memory and executive function. History of depression was assessed five years later by a clinical interview. Logistic regression analysis was conducted to evaluate interactions between individual metabolic factors, low cognitive function, and depression history.

RESULTS

Participants with a comorbidity of at least one metabolic factor, history of depression and low cognitive function had the highest risk of experiencing a depressive episode in middle age. The highest risk was observed in individuals with abdominal obesity, low cognitive function, and a history of depression (OR= 8.66, 95% CI 3.83-19.59). The risks for those with abdominal obesity only, depression history only, and low cognitive function were 1.20 (95%CI 0.71-2.02), 3.10 (95%CI 1.81-5.24), and 1.39 (95%CI 0.72-2.67), respectively.

LIMITATIONS

Depression was only assessed at follow-up.

CONCLUSION

Metabolic risk factors comorbid with low cognitive function in middle-aged individuals with a history of depression were associated with an increased risk of a future depressive episode. This study highlights the importance of screening for metabolic and cognitive comorbidities in patients with a history of depression.

Metabolic syndrome in rheumatoid arthritis patients: Relationship among its clinical components

BACKGROUND

Metabolic syndrome (MetS) prevalence in rheumatoid arthritis (RA) patients is known to vary considerably across the world. This study aimed to determine the prevalence of MetS in RA patients from western Mexico and to analyze the interrelation of the MetS components with the clinical variables of RA.

METHODS

This case-control study included 216 RA patients and 260 control subjects (CS). MetS prevalence was determined according to the NCEP/ATP III and the Latin American Consensus of the Latin American Diabetes Association (ALAD) criteria.

RESULTS

MetS was observed in 30.6% RA patients and 33.3% of controls (p > 0.05) according to NCEP/ATP III and 28.7% in RA patients and 31.1% for controls using ALAD criteria. Total cholesterol, LDL-C, and Castelli's I-II indexes were lower in RA (p < 0.001) than in CS. The RA patients with MetS had more swollen joints than those without MetS (p = 0.018). In RA patients with MetS, DAS-28 score correlated with smoking index (rho = 0.4601, p = 0.0004) and VLDL-C (rho = 0.3108, p = 0.0056); similarly, rheumatoid factor (RF) correlated with age (rho = 0.2031, p = 0.0027), smoking index (rho = 0.3404, p < 0.0001), triglycerides (rho = 0.1958, p = 0.0039), and VLDL-C (rho = 0.1761, p = 0.0162).

CONCLUSIONS

The MetS prevalence in RA patients from western Mexico is not higher than controls; however, in RA patients with MetS, some inflammatory markers are associated with MetS components; thus, the control of MetS in RA could be beneficial to regulate disease activity.

Moderate and severe periodontitis are positively associated with metabolic syndrome

OBJECTIVE

This study investigated the association between periodontitis severity (exposure) and metabolic syndrome (MetS - outcome), using two criteria for diagnosis of the outcome, since this relationship remains unexplored.

MATERIALS AND METHODS

A case-control study was conducted with 870 individuals: 408 with first MetS diagnosis (cases) and 462 without MetS (controls). Participants' general information was obtained using a questionnaire and laboratory data was collected from medical records. Periodontitis severity criteria followed the Center for Disease Control and Prevention: none, mild, moderate, and severe. Odds ratios (OR) and 95% confidence intervals (95% CI) were determined by logistic regression analysis.

RESULTS

Findings showed a positive association between moderate and severe periodontitis and MetS: OR_adjusted = 1.64 (95% CI: 1.01 to 2.68) and OR_adjusted = 1.94 (95% CI: 1.19 to 3.16), respectively, after adjustment for age, sex, schooling level, smoking habit, and cardiovascular disease. The adjusted measurements showed that among individuals with moderate or severe periodontitis, the probability of having MetS was around two times greater than among those without periodontitis, and that the chance was greater among participants with severe periodontitis than those with moderate periodontitis.

CONCLUSION

An association between the severity of periodontal status and MetS was found, suggesting a possible relationship between the two diseases.

CLINICAL RELEVANCE

MetS influences the etiology of cardiovascular diseases, one of the leading causes of mortality worldwide. The findings suggest that the greater the severity of periodontitis, the greater is the association magnitude with MetS. The health professional needs to recognize that the importance of periodontal disease may play in MetS.

Validity assessment of the single-point insulin sensitivity estimator (spise) for diagnosis of cardiometabolic risk in post-pubertal hispanic adolescents

Insulin measurements are not advised for cardiometabolic risk screening in large groups. Here we assessed the accuracy of the single-point insulin sensitivity estimator (SPISE) to diagnose cardiometabolic risk in Chilean adolescents. In 678 post-pubertal adolescents (52% males, M(SD) age = 16.8 (0.2) years), height, weight, waist circumference, blood lipids, glucose, insulin, and blood pressure were measured. BMI, HOMA-IR, and SPISE were estimated; HOMA-IR values ≥ 2.6 were considered insulin resistance (IR). Metabolic syndrome (MetS) was defined with the joint IDF/AHA/NHBLI standard. Using receiver operating characteristic curves, we obtained optimal SPISE cutpoints for IR and MetS diagnosis. The prevalence of MetS and IR was 8.2% and 17.1%, respectively. In males, the optimal cutoff for MetS diagnosis was 5.0 (sensitivity: 97%; specificity: 82%), and the optimal cutoff for IR diagnosis was 5.9 (sensitivity: 71%; specificity: 83%). In females, a SPISE of 6.0 had the highest sensitivity (90%) and specificity (74%) for MetS diagnosis. A SPISE of 6.4 was the optimal cutoff for IR diagnosis; however, sensitivity and specificity were 61% and 75%. In males and female post-pubertal adolescents, SPISE had a very good and good diagnostic performance, respectively, in predicting MetS. It was an accurate diagnostic tool for IR prediction in males, but not necessarily in females.

An Investigation of Short-Term Longitudinal Associations Between Handgrip Strength and Cardiovascular Disease Biomarkers Among Middle-Aged to Older Adults: A Project FRONTIER Study

The purpose of this study was to examine short-term longitudinal relationships between handgrip strength (HGS) and cardiovascular disease (CVD) biomarkers in middle-aged to older adults living in rural areas (N = 138). The association between HGS and CVD biomarkers was examined at baseline, with HGS as a predictor of the annual change in biomarkers, and in a parallel fashion between the annual change in HGS and CVD biomarkers over an average of 2.8 follow-up years. The results showed HGS to cross-sectionally associate with waist circumference and diastolic blood pressure at baseline, but HGS at baseline was not found to predict the annual change in any biomarker. The annual increase in HGS was significantly associated with favorable changes in high-density lipoprotein cholesterol, triglycerides, and systolic/diastolic blood pressures; yet, these associations varied by the baseline levels of biomarkers. The present findings suggest that improved muscle strength with aging is related to favorable changes in CVD biomarkers.

Prevalence of metabolic syndrome and its associated risk factors in an African-Caribbean population with severe mental illness

This cross-sectional study aims to determine the prevalence of metabolic syndrome (MetS) in patients with severe mental illness (SMI) on a Caribbean island, Curaçao, using the modified National Cholesterol Education Program Adult Treatment Panel III criteria. Among 350 patients (240 men and 110 women) with a mean age of 51.9 years (S.D.=13.5) MetS prevalence was 37.4%, significantly higher in female patients (63.6%) compared to male patients (25.4%). Increased waist circumference was present in 51.1%, low HDL in 50.6%, hypertension in 49.4%, hyperglycemia in 28.6% and 25.7% had hypertriglyceridemia. Except for hypertriglyceridemia, all criteria were more prevalent in female patients. Binary logistic regression analysis indicated that female gender, outpatient treatment setting and the absence of substance use disorder were all significant predictors for MetS. Compared to data from the general population obtained by the 2013 National Health Survey Curaçao, this study showed significantly higher prevalence of diabetes and hypertension in patients with SMI. Moreover, female patients had the highest prevalence of diabetes (28.2%), obesity (50.0%) and increased waist circumference (88.2%). This study demonstrates that African-Caribbean patients with SMI are at high-risk for MetS, especially female patients. Our data suggest to focus on modifiable lifestyle risk factors, as promoting physical activity and healthy dietary habits.

Women With Nonalcoholic Fatty Liver Disease Lose Protection Against Cardiovascular Disease: A Longitudinal Cohort Study

OBJECTIVES

Cardiovascular (CV) disease is the top cause of mortality in patients with nonalcoholic fatty liver disease (NAFLD). Female sex is protective against CV disease. We aimed to determine whether female sex remains a protective factor against CV disease (myocardial infarction, angina, and stroke) in NAFLD.

METHODS

We identified all adults diagnosed with NAFLD in Olmsted County, Minnesota, between 1997 and 2014 and selected an age- and sex-matched (1:4) referent cohort from the general population. NAFLD was ascertained using a code-based algorithm with high validity tested by medical record review. The impact of female sex on incident CV events was examined using Cox proportional hazards regression analysis stratified by standard clinical risk factors.

RESULTS

A total of 3,869 NAFLD and 15,209 age- and sex-matched referent subjects were identified. After a median follow-up time of 7 (range 1-20) years, 3,851 CV events were recorded. Female sex was protective for ischemic CV events in the general population (hazard ratio = 0.71, 95% confidence interval 0.62-0.80, P < 0.001), but the impact was significantly diminished among those with NAFLD (hazard ratio = 0.90, 95% confidence interval 0.74-1.08, P = 0.25), even after stratification by time-dependent CV risk factors and control for diagnostic testing (liver enzymes and ultrasound) during routine medical evaluations, as a surrogate of access to care. Among those with NAFLD, excess events were higher in women than in men: CV disease (18% vs 9%) and mortality (9% vs 6%).

DISCUSSION

Women with NAFLD lose the CV protection conferred by the female sex, and their risk is underestimated by current estimating methods in clinical practice.

Quantification of intrathoracic fat adds prognostic value in women undergoing myocardial perfusion imaging

AIM

Amongst patients with coronary artery disease (CAD), women experience relatively worse outcomes as compared to men. Evidence to date has failed to explore unique female imaging targets as major determinants of cardiovascular risk. We sought to assess the prognostic value of epicardial (EFV) and intrathoracic fat volume (IFV) quantification in women and men with suspected and known CAD.

METHODS AND RESULTS

Intrathoracic fat volume and EFV were calculated from non-contrast CT and analyzed in a propensity-matched cohort of 190 patients (95 women, mean age 62.5 ± 11.3 years) undergoing myocardial perfusion imaging (MPI) and coronary computed tomography angiography (CCTA) for evaluation of CAD. IFV and EFV were significantly lower in women as compared to men (198.2 ± 78.4 vs 293.2 ± 114.7 cm3 and 105.6 ± 48.9 vs 135.8 ± 60.9 cm3, p < 0.001) and showed a strong association with coronary artery calcium score (CACS) and obstructive CAD in women (p < 0.05), but not in men. Fat volumes were not related to abnormal MPI in either population (p = NS). During a median follow-up of 2.8 years, high IFV was associated with reduced event free survival (log rank = 0.019 vs low IFV) in women, but not in men. Accordingly, a multivariate Cox regression model adjusted for cardiovascular risk factors, CACS, CCTA, and MPI findings selected IFV as a significant predictor of major adverse cardiovascular events (MACE) in women (HR 1.32, 95%CI 1.18-1.55, p = 0.001).

CONCLUSION

Quantification of IFV provides incremental prognostic value for MACE in women, beyond that provided by traditional risk factors and imaging findings.

Metabolic Syndrome Exponentially Increases the Risk of Adverse Outcomes in Operative Diverticulitis

BACKGROUND

Metabolic syndrome (MS) is defined as the cluster: hypertension, obesity, and diabetes. Operative diverticulitis in the setting of MS can be challenging to manage. The aim of our study was to evaluate the impact of MS on outcomes in operative acute diverticulitis patients.

METHODS

We analyzed the (2012-2015) NSQIP database. We identified acute diverticulitis patients who underwent surgery. MS was defined as follows: body mass index (BMI) >30 kg/m², hypertension, and diabetes. Our primary outcome measure was the occurrence of any adverse events (complications, 30-d readmission, and mortality). Secondary outcome measures were complications, hospital length of stay, 30-d readmission, and mortality. Regression and receiver operating characteristic curve analysis was performed.

RESULTS

A total of 4572 patients were identified. Mean BMI was 29 ± 10 kg/m². 14.6% (275) of obese patients had metabolic syndrome. Adverse events were higher in patients with MS (odds ratio [OR], 8.1; P < 0.001) versus the obese group and the obese and hypertensive group. Patients with MS had higher odds of reintubation (OR 1.9; P = 0.03), >48 h ventilator dependence (OR 3.5; P = 0.01), myocardial infarction (OR 2.3; P = 0.03), and superficial or deep surgical-site infections (OR 2.1; P = 0.01) compared with patients with no MS. MS patients had a longer length of stay (β = 1.23; P = 0.02), higher 30-d readmissions (OR 1.7; P < 0.01), and mortality (OR 2.1; P < 0.01). The area under the receiver operating characteristic curve of metabolic syndrome for predicting adverse outcomes was 0.797, which was higher than the area under the receiver operating characteristic curve for BMI (0.58), hypertension (0.51), or diabetes (0.64) alone.

CONCLUSIONS

Adverse events in patients with MS after surgery for diverticulitis are higher than obesity, hypertension, or diabetes alone. Patients with MS have longer recovery, and higher rates of complications, readmissions, and mortality.

LEVEL OF EVIDENCE

Level III Prognostic.

Insulin Resistance and Cardiovascular Risks in Different Groups of Hemodialysis Patients: A Multicenter Study

BACKGROUND

To investigate the association between insulin resistance (IR) and cardiovascular disease (CVD) risks among hemodialysis patients.

METHODS

We conducted a cross-sectional study between 2013 and 2017, on 384 hemodialysis patients from seven hospital-based-dialysis centers. HOMA-IR is classified according to median value. The CVD risks were defined by the K/DOQI Guidelines. Logistic regression analysis was used.

RESULTS

Patients' age was 60.9 ± 11.8, 58.1% men, and 40.3% overweight/obese. The median of HOMA-IR was 5.4, 82.8% high systolic blood pressure, and 85.7% hyperhomocysteinemia. In multivariate analysis, IR was significantly associated with higher odds of low high-density lipoprotein cholesterol, high triglyceride, and impaired fasting glucose in groups of normal weight, overweight/obese, nondiabetes, diabetes, and overall sample. IR linked with elevated high-sensitive C-reactive protein in normal weight patients (odd ratio, OR=2.21, 95% confidence interval, 1.16-4.22, p < .05), with hypoalbuminemia in normal weight patients (OR=8.31, 95% CI, 2.35-29.37, p < .01), in nondiabetes patients (OR=6.59, 95% CI, 1.81-23.95, p < .01), and overall sample (OR=3.07, 1.51-6.23, p < .01).

CONCLUSIONS

The level of IR and prevalence of CVD risks were high in hemodialysis patients. IR was independently associated with CVD risks.

Age-specific diabetes risk by the number of metabolic syndrome components: a Korean nationwide cohort study

BACKGROUND

Metabolic syndrome is associated with an increased risk of diabetes. This study investigated the associations between the number of metabolic syndrome components and diabetes risk by age, sex and BMI.

METHODS

Data for 19,475,643 participants ≥ 20 years old with no history of diabetes were obtained between 2009 and 2012 and were accessed using the South Korean National Health Insurance Service. Metabolic syndrome was defined according to the modified criteria of the National Cholesterol Education Program Adult Treatment Panel III. We assessed the risk of diabetes according to the number of metabolic syndrome components after stratifying the study participants into groups by age (20-39, 46-64, ≥ 65 years), sex, and BMI (below or above 25).

RESULTS

During an average of 5.13 years of follow-up, the incidence rates of diabetes increased with the number of metabolic syndrome components. Age and BMI gradually increased with the number of metabolic syndrome components. The multivariable-adjusted hazard ratios (HRs) for incident diabetes were 1.401, 1.862, 2.47, 3.164 and 4.501 for participants with one through five components, respectively, compared with those without metabolic syndrome components. The risk of diabetes was 1.79-, 2.18-, and 3.05-times higher for participants ≥ 65 years; 2.57-, 3.45-, and 5.18-times higher for participants 40-64 years; and 2.55-, 3.89-, and 6.31-times higher for participants 20-39 years of age with three through five components, respectively, compared to those with no components. There was no difference in the risk of diabetes between men and women. The HRs were 5.63 for participants with a BMI ≥ 25 and 3.98 for those with a BMI < 25 among individuals with five components.

CONCLUSIONS

The risk of diabetes was more strongly associated with the number of metabolic syndrome components among younger adults. In addition, the risk of diabetes across the number of metabolic syndrome components was greater in participants with a BMI ≥ 25.

Associations Between Unhealthy Lifestyle Behaviors and Metabolic Syndrome by Gender in Young Adults

OBJECTIVE

Unhealthy lifestyle behaviors, such as smoking, drinking, betel-quid chewing, insufficient exercise, and inadequate sleep are significantly correlated with metabolic syndrome (MetS). To further understand this relationship, this study examined the main effect of unhealthy lifestyle behaviors and their interaction on MetS by gender in young adults.

METHOD

A cross-sectional study involving 694 young adults from a national survey was performed in which demographic characteristics, unhealthy lifestyle behaviors, anthropometric measurements, and blood chemistry panels were collected during face-to-face interviews.

RESULTS

The prevalence of MetS among young adults was 17.4% and was greater in males than females (19.0% vs. 7.8%). The unhealthy lifestyle-behavior risk factors associated with MetS included smoking (odds ratio [ OR] = 4.53) and physical activity ( OR = 0.51) among males and betel-quid chewing ( OR = 8.90) and less sleep ( OR = 0.08) among females. Significant interaction effects were observed between the abovementioned behaviors and gender for the risk of developing MetS.

CONCLUSION

These results can guide health-care providers in reducing MetS risk by encouraging young adult males to reduce or quit cigarette smoking and maintain optimum levels of physical activity and young adult females to quit chewing betel quid and obtain appropriate amounts of sleep.

Inadequate dietary energy intake associates with higher prevalence of metabolic syndrome in different groups of hemodialysis patients: a clinical observational study in multiple dialysis centers

BACKGROUND

Metabolic syndrome (MetS) has been established as a risk for cardiovascular diseases and mortality in hemodialysis patients. Energy intake (EI) is an important nutritional therapy for preventing MetS. We examined the association of self-reported dietary EI with metabolic abnormalities and MetS among hemodialysis patients.

METHODS

A cross-sectional study design was carried out from September 2013 to April 2017 in seven hemodialysis centers. Data were collected from 228 hemodialysis patients with acceptable EI report, 20 years old and above, underwent three hemodialysis sessions a week for at least past 3 months. Dietary EI was evaluated by a three-day dietary record, and confirmed by 24-h dietary recall. Body compositions were measured by bioelectrical impedance analysis. Biochemical data were analyzed using standard laboratory tests. The cut-off values of daily EI were 30 kcal/kg, and 35 kcal/kg for age ≥ 60 years and < 60 years, respectively. MetS was defined by the American Association of Clinical Endocrinologists (AACE-MetS), and Harmonizing Metabolic Syndrome (HMetS). Logistic regression models were utilized for examining the association between EI and MetS. Age, gender, physical activity, hemodialysis vintage, Charlson comorbidity index, high sensitive C-reactive protein, and interdialytic weight gains were adjusted in the multivariate analysis.

RESULTS

The prevalence of inadequate EI, AACE-MetS, and HMetS were 60.5%, 63.2%, and 53.9%, respectively. Inadequate EI was related to higher proportion of metabolic abnormalities and MetS (p <  0.05). Results of the multivariate analysis shows that inadequate EI was significantly linked with higher prevalence of impaired fasting glucose (OR = 2.42, p <  0.01), overweight/obese (OR = 6.70, p <  0.001), elevated waist circumference (OR = 8.17, p <  0.001), AACE-MetS (OR = 2.26, p <  0.01), and HMetS (OR = 3.52, p <  0.01). In subgroup anslysis, inadequate EI strongly associated with AACE-MetS in groups of non-hypertension (OR = 4.09, p = 0.004), and non-cardiovascular diseases (OR = 2.59, p = 0.012), and with HMetS in all sub-groups of hypertension (OR = 2.59~ 5.33, p <  0.05), diabetic group (OR = 8.33, p = 0.003), and non-cardiovascular diseases (OR = 3.79, p <  0.001).

CONCLUSIONS

Inadequate EI and MetS prevalence was high. Energy intake strongly determined MetS in different groups of hemodialysis patients.

Relationship between heavy drinking, binge drinking, and metabolic syndrome in obese and non-obese Korean male adults

BACKGROUND/OBJECTIVES

Obesity and alcohol drinking are associated with metabolic syndrome. However, few studies show the relationship between alcohol drinking and metabolic syndrome according to varying degrees of obesity. This study aimed to determine the association between alcohol drinking and metabolic syndrome in obese and non-obese Korean male adults.

SUBJECTS/METHODS

This cross-sectional study included 5,867 males aged ≥ 20 years who were examined at the Soonchunhyang University health promotion center during June 2008–December 2010. The subjects were divided into non-obese (body mass index [BMI] < 25 kg/m²) and obese (BMI ≥ 25 kg/m²) groups and further divided according to weekly alcohol consumption into nondrinking (0 drinks/week), moderate drinking (≤ 14 drinks/week), and heavy drinking (> 14 drinks/week) groups. The subjects were also categorized into binge drinking and non-binge drinking groups. To obtain odds ratios (ORs) for metabolic syndrome, binary logistic regression analysis was performed.

RESULTS

The overall metabolic syndrome prevalence was 27.3% (12.8%, non-obese group; 50.4%, obese group). After adjusting for age, physical activity, and smoking, in the non-obese group, the OR for heavy drinking with binge drinking (reference: nondrinking) was 1.56 (95% confidence interval [CI] = 1.12–2.18), with a significant increase in metabolic syndrome prevalence. In the obese group, the OR for heavy drinking with binge drinking was 1.42 (95% CI = 1.07–1.88), showing a significant increase in metabolic syndrome prevalence (P < 0.05).

CONCLUSIONS

In both non-obese and obese Korean males, heavy drinking with binge drinking was associated with increased risk of metabolic syndrome. Thus, both non-obese and obese males should restrict their alcohol intake and not indulge in binge drinking.

Impact of Metabolic Syndrome on the Morbidity and Mortality of Patients Undergoing Panniculectomy

BACKGROUND

Metabolic syndrome (MetS) is defined as the concomitant disease process of obesity and at least two of the following variables: diabetes, hypertension, hypertriglyceridemia, or reduced high-density lipoprotein. These entities are well established as risk factors for complications following surgery. Obese patients are particularly prone to the development of MetS. The authors therefore aimed at elucidating the impact of MetS on the perioperative panniculectomy outcomes.

METHODS

The American College of Surgeons National Surgical Quality Improvement Program database was analyzed for all primary procedures of panniculectomy from 2010 through 2015. The cases were stratified based on the presence or absence of MetS and evaluated for demographic data, intraoperative details, and their morbidity and mortality within 30 days after surgery.

RESULTS

A total of 7030 cases were included in this study. Patients with MetS (6.2%) were of significantly worse health, required more emergency admissions (p = 0.022), longer hospitalization (p < 0.001), and more frequently inpatient procedures (p < 0.001) compared to the control group without MetS (3.8%). Plastic surgery was the predominant specialty operating on 79.5% of all cases. Surgical (23.3 vs. 8.7%) complications, readmission (8.7 vs. 3.0%), and reoperations (6.9 vs. 3.1%) rates were all significantly higher in patients with MetS that those without (p < 0.001). One fatality occurred in each cohort (0.23 vs. 0.02%, p = 0.010).

CONCLUSION

Comorbidities are not uncommon in patients undergoing panniculectomy, especially in those diagnosed with MetS. Health-care providers need to be aware of the increased morbidity and mortality in this high-risk subgroup and need to consider preoperative optimization and management before proceeding with surgery.

LEVEL OF EVIDENCE III

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

The impact of metabolic syndrome and its components on perioperative outcomes after elective laparotomy - A prospective observational study

BACKGROUND

Metabolic syndrome (MetS) represents a constellation of risk factors, including central obesity, elevated fasting blood glucose, high blood pressure and atherogenic dyslipidemia. This prospective observational study aimed to assess the impact of MetS on perioperative outcomes of patients undergoing elective abdominal surgery with laparotomy.

METHODS

We included 105 consecutive non-diabetic patients undergoing elective abdominal surgery with laparotomy. Patients were divided into two groups based on MetS diagnosis. Perioperative adverse events were recorded according to the definitions of the European Perioperative Clinical Outcome guidelines.

RESULTS

The prevalence of MetS was 57.1%. The presence of MetS was associated with a 2.64 higher odds (95% CI 1.18-5.95, P = 0.019) for respiratory events and a 3.42 higher odds (95% CI 1.05-11.13, P = 0.041) for superficial surgical site infections. Furthermore, regarding MetS patients, all individual components of MetS were associated with worse outcomes in an independent manner.

CONCLUSIONS

MetS as an entity along with its individual components are associated with an increased risk of perioperative events in patients undergoing elective abdominal surgery with laparotomy.

Perceived weight discrimination and chronic medical conditions in adults with overweight and obesity

AIM

This study investigated whether perceived weight discrimination is associated with increased risk for major chronic medical conditions and whether the associations persist after adjusting for other stressful life events in addition to BMI, physical activity and sociodemographic variables.

METHODS

The study included 21 357 overweight/obese adults (52.9% women) from the 2001 to 2002 and 2004 to 2005 National Survey of Alcohol and Related Conditions.

RESULTS

Perceived weight discrimination was significantly associated with risk for arteriosclerosis, diabetes, high cholesterol, myocardial infarction, minor heart conditions and stomach ulcers. Perceived weight discrimination was associated with reporting more stressful life events. After adjusting additionally for stressful life events in the final multiple logistic regression, associations with arteriosclerosis, diabetes and minor cardiac conditions remained significant. Gender-stratified analyses revealed that perceived weight discrimination was associated with different medical conditions in women than men, and many associations became non-significant when adjusting for stressful life events, particularly for women.

CONCLUSIONS

Among overweight/obese adults, perceived weight discrimination is associated with significantly increased risk for obesity-related chronic medical conditions even after adjusting for BMI, physical activity and sociodemographic variables. Accounting for other acute stressful life events may also be important in understanding the health effects of perceived weight discrimination. Such added health risk of overweight/obesity posed by perceived weight discrimination warrants public health and policy interventions against weight discrimination to reduce the socioeconomic burden of obesity.

Metabolic outcomes of workers according to the International Standard Classification of Occupations in Korea

BACKGROUND

Occupation influences the risk for developing chronic metabolic diseases.

METHODS

We compared the prevalence of MetS by International Standard Classification of Occupations using the nationally representative data in Korea (KNHANES). We enrolled 16,763 workers (9,175 males; 7,588 females) who had measurements for the National Cholesterol Education Program criteria III and other variables. OR and 95%CIs for MetS and its components were estimated according to occupation using the multiple logistic regression models.

RESULTS

The occupational groups with the highest age-standardized prevalence of MetS were lower skilled white-collar men (31.1 ± 2.4%) and green-collar women (24.2 ± 2.9%). Compared with the unskilled male blue-collar group, which had the lowest prevalence of MetS, the OR (95%CIs) of MetS in men were 1.77 (1.45-2.15) in higher skilled white-collar, 1.82 (1.47-2.26) in lower-skilled white-collar, 1.63 (1.32-2.01) in pink-collar and 1.37 (1.13-1.66) in skilled blue-collar workers in final logistic regression model.

CONCLUSIONS

MetS and its components vary by occupational category and gender in ways that may guide health interventions. Am. J. Ind. Med. 59:685-694, 2016. © 2016 Wiley Periodicals, Inc.

Síndrome metabólica, componentes e fatores associados em adultos de 40 anos ou mais de um município da Região Sul do Brasil

Resumo Objetivo Estimar a prevalência de síndrome metabólica (SM), de seus componentes e fatores associados em adultos de 40 anos ou mais. Métodos Estudo transversal, de base populacional, com 1.180 residentes em um município brasileiro de médio porte da Região Sul. Realizaram-se entrevistas domiciliares, avaliações antropométricas e exames laboratoriais. A SM foi definida de acordo com o critério harmonizado de 2009. Foram analisadas variáveis sociodemográficas, comportamentais e de utilização de serviços de saúde. Utilizaram-se o teste de qui-quadrado, exato de Fisher e teste de Wald na análise de múltiplos fatores pela regressão de Poisson. Resultados Entre os entrevistados, 959 (81,3%) realizaram exames laboratoriais e medidas antropométricas. A prevalência de SM foi de 53,7%, mais elevada em mulheres e em idades mais avançadas. A presença de cinco componentes da SM foi observada em 12% dos participantes (15,8% mulheres e 7,3% homens). Após ajustes, apenas a idade se associou à SM. Conclusão A elevada prevalência de SM e de seus componentes, distinta em cada sexo e grupo etário, aponta a necessidade de ações de enfrentamento com abordagens coletivas e estabelecimento de metas terapêuticas individuais.

Risk of the Metabolic Syndrome in Sexual Minority Women: Results from the ESTHER Study

OBJECTIVE

Compared to heterosexuals, sexual minority women (SMW) have higher rates of the metabolic syndrome risk factors (e.g., obesity, smoking, heavy drinking, and depression). Yet, no published research has examined whether SMW have higher rates of the metabolic syndrome. The aim of this study is to describe the prevalence of the metabolic syndrome and its individual factors in a sample of heterosexuals and SMW, and identify whether SMW are at greater risk of having the metabolic syndrome.

MATERIALS AND METHODS

Data are from the Epidemiologic STudy of HEalth Risk in Women (ESTHER), a cross-sectional convenience sample of 479 SMW and 400 heterosexual women from Pittsburgh, Pennsylvania. Participants provided self-report questionnaire data, clinical data, and blood work.

RESULTS

Compared to heterosexuals, SMW had higher mean waist circumference, fasting glucose, and systolic and diastolic blood pressure. Nearly one-quarter (24.3%) of SMW had the metabolic syndrome compared to 15.6% of heterosexual women (p = 0.002). After controlling for demographic and risk factors, SMW had a 44% higher risk of having the metabolic syndrome than heterosexuals (p = 0.031).

CONCLUSIONS

To our knowledge, this is the first study to identify this health disparity in SMW. Future studies should explore differential risk of mortality and metabolic health between SMW and heterosexuals.

Genome- and epigenome-wide association study of hypertriglyceridemic waist in Mexican American families

BACKGROUND

There is growing interest in the hypertriglyceridemic waist (HTGW) phenotype, defined as high waist circumference (≥95 cm in males and ≥80 cm in females) combined with high serum triglyceride concentration (≥2.0 mmol/L in males and ≥1.5 mmol/L in females) as a marker of type 2 diabetes (T2D) and cardiovascular disease. However, the prevalence of this phenotype in high-risk populations, its association with T2D, and the genetic or epigenetic influences on HTGW are not well explored. Using data from large, extended families of Mexican Americans (a high-risk minority population in the USA) we aimed to: (1) estimate the prevalence of this phenotype, (2) test its association with T2D and related traits, and (3) dissect out the genetic and epigenetic associations with this phenotype using genome-wide and epigenome-wide studies, respectively.

RESULTS

Data for this study was from 850 Mexican American participants (representing 39 families) recruited under the ongoing San Antonio Family Heart Study, 26 % of these individuals had HTGW. This phenotype was significantly heritable (h (2) r = 0.52, p = 1.1 × 10(-5)) and independently associated with T2D as well as fasting glucose levels and insulin resistance. We conducted genome-wide association analyses using 759,809 single nucleotide polymorphisms (SNPs) and epigenome-wide association analyses using 457,331 CpG sites. There was no evidence of any SNP associated with HTGW at the genome-wide level but two CpG sites (cg00574958 and cg17058475) in CPT1A and one CpG site (cg06500161) in ABCG1 were significantly associated with HTGW and remained significant after adjusting for the closely related components of metabolic syndrome. CPT1A holds a cardinal position in the metabolism of long-chain fatty acids while ABCG1 plays a role in triglyceride metabolism.

CONCLUSIONS

Our results reemphasize the value of HTGW as a marker of T2D. This phenotype shows association with DNA methylation within CPT1A and ABCG1, genes involved in fatty acid and triglyceride metabolism. Our results underscore the importance of epigenetics in a clinically informative phenotype.

Metabolic Health Has Greater Impact on Diabetes than Simple Overweight/Obesity in Mexican Americans

PURPOSE

To compare the risk for diabetes in each of 4 categories of metabolic health and BMI.

METHODS

Participants were drawn from the Cameron County Hispanic Cohort, a randomly selected Mexican American cohort in Texas on the US-Mexico border. Subjects were divided into 4 phenotypes according to metabolic health and BMI: metabolically healthy normal weight, metabolically healthy overweight/obese, metabolically unhealthy normal weight, and metabolically unhealthy overweight/obese. Metabolic health was defined as having less than 2 metabolic abnormalities. Overweight/obese status was assessed by BMI higher than 25 kg/m(2). Diabetes was defined by the 2010 ADA definition or by being on a diabetic medication.

RESULTS

The odds ratio for diabetes risk was 2.25 in the metabolically healthy overweight/obese phenotype (95% CI 1.34, 3.79), 3.78 (1.57, 9.09) in the metabolically unhealthy normal weight phenotype, and 5.39 (3.16, 9.20) in metabolically unhealthy overweight/obese phenotype after adjusting for confounding factors compared with the metabolically healthy normal weight phenotype.

CONCLUSIONS

Metabolic health had a greater effect on the increased risk for diabetes than overweight/obesity. Greater focus on metabolic health might be a more effective target for prevention and control of diabetes than emphasis on weight loss alone.

Effect of birthplace on cardiometabolic risk among blacks in the Metabolic Syndrome Outcome Study (MetSO)

BACKGROUND

Metabolic syndrome poses an increased global burden of disease and causes immense financial burden, warranting heightened public health attention. The present study assessed the prevalence and severity of cardiometabolic risk among foreign-born versus US-born blacks, while exploring potential gender-based effects.

METHODS

A total of 1035 patients from the Metabolic Syndrome Outcome Study (Trial registration: NCT01946659) provided sociodemographic, medical history, and clinical data. General Linear Model (GLM) was used to assess the effects of birthplace and gender on cardiometabolic parameters, adjusting for age differences in the sample.

RESULTS

Of the sample, 61.6 % were foreign-born blacks (FBB) and 38.4 % were US-born blacks (USB). FBB had significantly lower BMI compared with USB (32.76 ± 0.35 vs. 35.41 ± 0.44, F = 22.57), but had significantly higher systolic blood pressure (136.70 ± 0.77 vs. 132.83 ± 0.98; F = 9.60) and fasting glucose levels than did USB (146.46 ± 3.37 vs. 135.02 ± 4.27; F = 4.40). Men had higher diastolic BP (76.67 ± 0.65 vs. 75.05 ± 0.45; F = 4.20), glucose (146.53 ± 4.48 vs. 134.95 ± 3.07; F = 4.55) and triglyceride levels (148.10 ± 4.51 vs. 130.60 ± 3.09; F = 10.25) compared with women, but women had higher LDL-cholesterol (109.24 ± 1.49 vs. 98.49 ± 2.18; F = 16.60) and HDL-cholesterol levels (50.71 ± 0.66 vs. 42.77 ± 0.97; F = 46.01) than did men.

CONCLUSIONS

Results showed that birthplace has a significant influence on cardiometabolic profiles of blacks with metabolic syndrome. Patients' gender also had an independent influence on cardiometabolic profile.

A lifetime history of alcohol use disorder increases risk for chronic medical conditions after stable remission

BACKGROUND

The long-term impact of a past alcohol use disorder (AUD) among those who are currently in stable remission has not been well-explored. This study examined whether a past history of AUD was associated with increased risk for chronic medical conditions in a large U.S. nationally representative sample of adults ≥30 years old.

METHODS

Using 25,840 participants from Wave 1 and Wave 2 surveys of the National Epidemiologic Survey on Alcohol and Related Condition (NESARC), multiple logistic regression analysis was conducted to compare the risk for reporting metabolic, cardiovascular, liver, gastrointestinal, and inflammatory conditions between those in full-remission from AUD for longer than 5 years and those without a history of AUD diagnosis.

RESULTS

Compared with a model adjusting only for age, a model adjusting for other potential psychosocial confounders revealed fewer significant associations between AUD history and chronic medical conditions, particularly for the middle-aged population and for men. For the elderly, AUD history was associated with more chronic medical conditions in fully adjusted models. AUD history was associated with severe medical conditions such as liver diseases and myocardial infarction in women. In general, longer AUD exposure and shorter remission were also associated with the risk for chronic medical conditions.

CONCLUSIONS

Our findings suggest associations between past AUD diagnosis and chronic medical conditions, particularly for the elderly individuals. Screening for past alcohol use problems and associated health risks are important for the promotion of aging and prevention of chronic medical conditions even when an individual presents no current symptoms of AUD.

Absence of association between -286C>A>T polymorphism in the CRP gene and metabolic syndrome in Iranian pediatric

BACKGROUND

As a common pathophysiological condition worldwide, metabolic syndrome (MetS) is a clustering of multiple risk factors implicating in the development of many chronic disorders. Of note, obesity-induced chronic, low-grade inflammation is a major cause of insulin resistance and MetS. In the present study, we evaluated the association of rs3091244 variant of the C-reactive protein (CRP) gene, a well-recognized systemic inflammatory marker, with MetS in Iranian children and adolescents.

MATERIALS AND METHODS

Genotyping was performed by mismatched polymerase chain reaction-restriction fragment length polymorphism in 100 MetS and 100 normal individuals aged 9-19 years recruited in the central part of Iran in 2011. A t-test or one-way ANOVA with post-hoc multiple comparisons were used to analyze the differences between groups. Statistical significance was defined as P ≤ 0.05. Logistic regression used to evaluate the association between alleles of the CRP rs3091244 and increased MetS risk.

RESULTS

There were no differences in the genotype frequencies or allele distribution for -286C>A>T CRP polymorphism between MetS and control groups. Logistic regression showed that only the T allele of the CRP rs3091244 and not any of the genotypes confers a borderline significant (P = 0.059) increased MetS risk compared to A allele with the odds ratio of 1.70 (0.98-2.96).

CONCLUSIONS

This study suggests that in Iranian children and adolescents, -286C>A>T CRP polymorphism is not associated with the increased risk for MetS.

Relation of Anthropometric Obesity and Computed Tomography Measured Nonalcoholic Fatty Liver Disease (from the Multiethnic Study of Atherosclerosis)

We hypothesized that anthropometric measures of abdominal obesity would have a stronger positive association with nonalcoholic fatty liver disease (NAFLD) measured by noncontrast computed tomography versus general measures of obesity. The Multiethnic Study of Atherosclerosis comprised participants aged 45 to 84 years free of known cardiovascular disease. We studied 4,088 participants with adequate liver and spleen computed tomography imaging and no previous use of oral steroids, class 3 antiarrhythmics, moderately heavy alcohol use, or cirrhosis. Prevalent NAFLD was defined as a liver:spleen Hounsfield attenuation ratio of <1. Multivariable log-linear regression modeled the association of 4 obesity measures-weight, body mass index (BMI), waist circumference, and waist-to-hip ratio-with prevalent NAFLD. Receiver-operator curve analysis compared NAFLD discrimination. Median age was 63 years, and 55% were women. For each obesity measure, adjusted prevalence ratios for NAFLD were fourfold to fivefold greater in the highest versus the lowest quartile (p <0.001). Waist circumference and BMI had the highest prevalence ratios, and waist circumference had the best discrimination, for NAFLD in the total population, although an abnormal BMI categorized subjects with NAFLD as well if not better than waist circumference. In ethnic-specific analysis, whites and Chinese had the strongest association of obesity and NAFLD compared with other ethnicities. In conclusion, although waist circumference provided the best discrimination for NAFLD, BMI may perform similarly well in clinical settings to screen for NAFLD.

Effect of age on the phenotype of metabolic syndrome in developing country

BACKGROUND

This study aimed to determine how age groups effect on the phenotype of metabolic syndrome (MetS) among Iranian population.

MATERIALS AND METHODS

This cross-sectional study was conducted as part of Isfahan Healthy Heart Program. Height, weight, waist circumference, and blood pressure were measured by trained health-care professionals. MetS was defined as having three or more of the National Cholesterol Education Program III criteria. The relation between different age groups and different phenotypes of MetS was examined using the multinomial logistic regression.

RESULTS

We found low high-density lipoprotein-cholesterol (HDL-c) was the most common feature, followed by hypertriglyceridemia (HTG), abdominal obesity (ABO), hypertension (HTN), and high fasting blood glucose in decreasing order of prevalence. The most prevalent combination of MetS components was hypertrigeceridemia, low HDL-c and ABO (50.7%) in all subjects and especially in younger age group (63.2%). In elder age group, the most prevalent three components combination was HTG, Low HDL-c and HTN (43.9%). Logistic regression analysis demonstrated that elder subjects were at approximately 12 times higher risk of having the combination HTG, ABO, low HDL-c, and HTN (P < 0.001) compared to the middle age subjects who had a lower risk for the same combination; (2 [1.49-3.49]) (P < 0.001).

CONCLUSION

This study provides a nationally representative estimate of the prevalence of different phenotypes of MetS across different age groups. Regarding different phenotypes of MetS in various age groups need to have important implications in the clinical management of these patients and the implementation of public health.

Characterization of metabolic syndrome among diverse Hispanics/Latinos living in the United States: Latent class analysis from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

BACKGROUND/OBJECTIVES

Empirical investigation of the adequacy of metabolic syndrome (MetS) diagnostic criteria, and whether meaningful subtypes of MetS exist, is needed among Hispanics/Latinos.

METHODS

In 15,825 US Hispanics/Latinos from HCHS/SOL, latent class analysis of MetS components (waist circumference, systolic and diastolic blood pressure, HDL cholesterol, triglycerides, glucose, and antihypertensive, lipid- and glucose-lowering medication use) was used to investigate (1) whether distinct subtypes of MetS could be identified, and how component levels differed between them, and (2) how identified subtypes related to covariates and cardiovascular disease (CVD) prevalence.

RESULTS

Two latent clusters emerged in both men (n=6317) and women (n=9508): one characterized by relatively healthy mean levels (Non-MetS cluster, 77.1% of men and 67.1% of women) and the other by clinically elevated mean levels (MetS cluster, 22.9% of men and 32.9% of women) across most MetS components. These clusters showed expected associations with covariates and CVD prevalence. Notable results suggest that (1) HDL cholesterol may poorly differentiate between US Hispanics/Latinos with and without MetS (mean=45.4 vs. 44.6 mg/dL for men and 51.3 vs. 52.0 mg/dL for women in the MetS vs. Non-MetS clusters, respectively) and (2) the NCEP-ATP III 88 cm waist circumference cutoff for US females may not optimize diagnosis among Hispanic/Latino women (MetS cluster mean waist circumference=102.5 cm).

CONCLUSIONS

Beyond classification into having MetS or not, additional subtypes of MetS do not clearly emerge in US Hispanics/Latinos. Current diagnostic cutoffs for some components may not optimize MetS identification among this population.

The impact of ethnicity and cardiovascular risk on the pharmacologic management of osteoarthritis: a US perspective

Many individuals with osteoarthritis (OA) also have other chronic, comorbid conditions, such as obesity, hypertension and diabetes, which can compound the risk for developing cardiovascular adverse events that have been associated with specific analgesics, most notably nonselective nonsteroidal anti-inflammatory drugs (NSAIDs) and selective cyclooxygenase-2 inhibitor NSAIDs. Pharmacotherapy may be further complicated by genetic factors that may influence drug metabolism in certain individuals. These risks may vary according to race and ethnicity. Black and Hispanic populations are known to have a higher prevalence of cardiovascular risk factors and disease, and a substantial proportion of black and Hispanic individuals possess genotypes of the cytochrome P450 (CYP) 2C9 enzyme involved in the metabolism of many NSAIDs and the CYP2D6 enzyme involved in metabolism of the dual opioid agonist/norepinephrine-serotonin reuptake inhibitor tramadol. As a result, the efficacy and safety of available analgesics may vary between patients in different racial and ethnic groups. This review article focuses on racial and ethnic differences in cardiovascular risk and genetic factors altering drug efficacy and safety and evaluates the pharmacologic options that can be used for the management of OA in these populations. Particular emphasis is given to the place of topical NSAIDs and capsaicin in the management of OA patients for whom systemic exposure to available pharmacotherapy poses particular risk. Evidence-based guidelines in OA management, as they relate to appropriate patient-specific pharmacotherapy, are also examined.

Chronic unpredictable stress regulates visceral adipocyte-mediated glucose metabolism and inflammatory circuits in male rats

Chronic psychological stress is a prominent risk factor involved in the pathogenesis of many complex diseases, including major depression, obesity, and type II diabetes. Visceral adipose tissue is a key endocrine organ involved in the regulation of insulin action and an important component in the development of insulin resistance. Here, we examined for the first time the changes on visceral adipose tissue physiology and on adipocyte‐associated insulin sensitivity and function after chronic unpredictable stress in rats. Male rats were subjected to chronic unpredictable stress for 35 days. Total body and visceral fat was measured. Cytokines and activated intracellular kinase levels were determined using high‐throughput multiplex assays. Adipocyte function was assessed via tritiated glucose uptake assay. Stressed rats showed no weight gain, and their fat/lean mass ratio increased dramatically compared to control animals. Stressed rats had significantly higher mesenteric fat content and epididymal fat pad weight and demonstrated reduced serum glucose clearing capacity following glucose challenge. Alterations in fat depot size were mainly due to changes in adipocyte numbers and not size. High‐throughput molecular screening in adipocytes isolated from stressed rats revealed activation of intracellular inflammatory, glucose metabolism, and MAPK networks compared to controls, as well as significantly reduced glucose uptake capacity in response to insulin stimulation. Our study identifies the adipocyte as a key regulator of the effects of chronic stress on insulin resistance, and glucose metabolism, with important ramifications in the pathophysiology of several stress‐related disease states.

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Our study identifies the adipocyte as a key regulator of the effects of chronic stress on insulin resistance, and glucose metabolism, with important ramifications in the pathophysiology of several stress‐related disease states.