Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis

Developmental Trends of Metabolic Syndrome in the Past Two Decades: A Narrative Review

Background/Objectives: Metabolic syndrome (MetS) is a complex disorder characterized by insulin resistance (IR), central obesity, atherogenic dyslipidemia, and higher glucose levels. It increases the risk of cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM), imposing an economic burden on the healthcare system. However, the historical origins of MetS as well as the development and evolution of its definitions have not been conclusively documented in the literature. This study seeks to enhance the understanding of the developmental trends of MetS during the preceding two decades, placing particular emphasis on the definition, diagnosis and prevalence. Methods: An extensive search was performed from 1920 to 2023 across prominent scientific research engines, including Scopus, PubMed, MDPI, and others. Results: Despite advancements, many aspects of MetS remain inadequately understood. As the understanding of the nature and pathophysiology of MetS progresses, the development and refinement of its diagnostic criteria, and assessment and treatment guidelines will continue. Additionally, there exists significant variation in the global prevalence of metabolic syndrome, ranging from 14 to 39%. This prevalence is projected to increase due to the adoption of less healthy dietary patterns and sedentary lifestyles. The observed disparities in metabolic syndrome prevalence can be attributed to multiple factors, including demographic characteristics. Furthermore, the lack of a standardized definition across studies also contributes to the variation in reported prevalence rates. Conclusions: Further studies focusing on the standardization of the MetS definition across different research are crucial. The establishment of consistent criteria would enhance the reliability and validity of research findings, enabling more meaningful comparisons and interpretations.

Prognostic impact of the metabolic syndrome and its components in acute type a aortic dissection after surgery: a retrospective study

OBJECTIVE

This study aimed to explore whether metabolic syndrome (MetS) and its components are associated with poor outcomes in patients with acute type A aortic dissection (ATAAD) after surgery.

METHODS

This study included 353 patients who had undergone surgery. Demographic and clinical characteristics of the patients were collected. Subgroup, mixed-model regression, score systems, and receiver operating characteristic curve (ROC) analyses were performed.

RESULTS

Overall, 353 inpatients were assigned to the poor outcome group (n = 69) and control group (n = 284) with or without MetS. Compared to the control group, the incidence of MetS was higher in the poor outcome group. Poor outcomes were present in 0%, 4.4%, 12.3%, 47.6%, 71.4%, and 100% of the six groups who met the diagnostic criteria for MetS 0, 1, 2, 3, 4, and 5 times, respectively. For multivariable logistic regression, Body mass index (BMI) quartiles remained risk factors for poor outcomes after adjustment for other risk factors. After adjusting for potential confounding factors, the MetS was found to be an independent risk factor in several models. Assigning a score of one for each component, the AUC was 0.877 (95%CI: 0.823-0.923) in all patients, 0.864 (95%CI: 0.7945-0.935) in MetS, and 0.700 (95%CI: 0.567-0.833) in non-MetS by receiver operating characteristic.

CONCLUSION

MetS, especially BMI, confer a greater risk of poor outcomes in ATAAD after surgery during the 3-year follow-up.

Impact of coronary collateralization on major adverse cardiovascular and cerebrovascular events after successful recanalization of chronic total occlusion

Aims

This study aims to investigate the effects of coronary collateral circulation (CCC) on the prognosis of chronic total occlusion (CTO) patients with or without metabolic syndrome (MetS).

Methods

The study included 342 CTO patients who underwent successful percutaneous coronary intervention at the People's Hospital of Liaoning Province between 1 February 2021 and 30 September 2023. The Rentrop score was used to assess the status of CCC. The outcome was major adverse cardiovascular and cerebrovascular events (MACCEs), defined as a composite of all-cause mortality, cardiac death, non-fatal myocardial infarction (MI), target vessel revascularization (TVR), and non-fatal stroke. Univariate and multivariate logistic analyses were used to investigate the association of CCC, MetS, and MACCEs with odds ratios (ORs) and 95% confidence intervals (CIs). The effect of CCC was further investigated in different MetS, diabetes mellitus (DM), and Syntax score groups.

Results

MACCEs were more common in patients with poor CCC compared to those with good CCC (38.74% vs. 16.56%). Statistical differences were found in MACCEs (OR = 3.33, 95% CI: 1.93-5.72), MI (OR = 3.11, 95% CI: 1.73-5.58), TVR (OR = 3.06, 95% CI: 1.70-5.53), and stent thrombosis (OR = 6.14, 95% CI: 2.76-13.65) between the good and poor CCC groups. Poor CCC patients with MetS had a higher incidence of MACCEs (OR = 4.21, 95% CI: 2.05-8.65), non-fatal MI (OR = 4.44, 95% CI: 2.01-9.83), TVR (OR = 3.28, 95% CI: 1.51-7.11), and stent thrombosis (OR = 10.80, 95% CI: 3.11-37.54). Similar findings were also observed in CTO patients with DM and a Syntax score ≥23.

Conclusion

Poor CCC could increase the risk of MACCEs in CTO patients, particularly those with MetS, DM, and a Syntax score ≥23. Further prospective, multicenter studies are needed to validate our findings and to explore potential therapeutic interventions.

Diagnosis of metabolic syndrome in nursing professionals: An accuracy study

Metabolic Syndrome (MetS) represents a group of cardiovascular risk factors. This article aims to evaluate the accuracy of the tools of MetS diagnosis in Nursing professionals from Primary Health Care (PHC) in Bahia, Brazil. A cross-sectional study with a random sample selected according to essential health information for the diagnostic of MetS. For MetS diagnostic, we used EGIR, NCEP-ATPIII, AACE, IDF, Barbosa et al. (2006), and IDF/AHA/NHLBI (defined as gold standard) definition. Sensitivity, specificity, predictive values, and likelihood ratio were estimated for each diagnostic tool and compared with the gold standard. Kappa statistic was used to determine the agreement between the diagnostic methods. One thousand one hundred and eleven nursing professionals were included in this study. Sensitivity varied from 15% to 95.1%, and specificity varied between 99.5% and 100%. IDF and Barbosa et al. (2006) definitions were more sensitive (95.1% and 92.8%, respectively), and EGIR, NCEP, ATP III, and IDF showed 100% specificity. IDF and Barbosa et al. (2006) use suitable metabolic syndrome identification and confirmation criteria. The highest agreement was found in the definition of the IDF, Barbosa et al. (2006) and the NCEP ATP III. Defining metabolic syndrome with a higher diagnostic accuracy could contribute to the screening and the early identification of nursing professionals with cardiovascular disease risk factors, which provide opportunities for appropriate prevention and treatment.

Prevalence of metabolic syndrome in patients with end-stage renal disease: a systematic review and meta-analysis

BACKGROUND

Metabolic syndrome, a significant risk factor for cardiovascular mortality in patients with end-stage renal disease, profoundly impacts patient prognosis and survival. Despite its clinical importance, the prevalence of metabolic syndrome remains unexplored in this population. Therefore, the objective of this study was to systematically assess the prevalence of metabolic syndrome among patients with end-stage renal disease and raise awareness among healthcare professionals.

METHODS

We conducted a comprehensive search in CNKI, WANFANG, WeiPu, CBM, PubMed, Web of Science, EMBASE, and The Cochrane Library databases. The search time was until August 21, 2023. Standardized tables were employed for data extraction and imported into Stata 16.0 software for subsequent meta-analysis. A random-effects model was employed to estimate combined prevalence and 95% confidence intervals. Subgroup and sensitivity analyses were conducted to explore potential sources of heterogeneity, while publication bias was evaluated using a funnel plot and Egger's test. This study has been registered with PROSPERO under the registration number CRD42023456284.

RESULTS

This meta-analysis comprised 35 studies involving a total of 14,202 participants. The pooled prevalence estimate for metabolic syndrome was 49.0% [95% CI (46.0,53.0)]. We conducted subgroup analyses based on participant characteristics, gender distribution, publication year, national economic status, diagnostic criteria employed, and components of metabolic syndrome.

CONCLUSIONS

The prevalence of metabolic syndrome is higher among patients with end-stage renal disease, necessitating early prevention and control measures to reduce its incidence and delay the progression of the disease, thereby improving patient life expectancy.

Depression and self-care in diabetes; adjustment for misclassification bias: application of predictive weighting method

OBJECTIVE

This study aimed to investigate the association between depression and self-care in diabetic patients potentially influenced by biases in depression measurement using weighting the positive and negative predictive values.

METHODS

In this cross-sectional study, 1050 patients informedly consented to participate in the study. Using a WHO-5 well-being index, the participants were examined for depressive mood as exposure. The sensitivity and specificity of this index in a systematic review study were 0.86 and 0.81, respectively. Self-care (that is outcome) was assessed using the Summary of Diabetes Self-Care Activities (SDSCA) questionnaire. To correct the misclassification bias of exposure, the predictive weighting method was used in the multivariable logistic regression model adjusted for covariates. Bootstrap sample with replacement and simulation was used to deal with random error.

RESULTS

The mean age of patients was 42.8 ± 7.5 years. In this study, 70.1% of diabetic patients (n = 720) were depressed based on the questionnaire score and only 52.7% (n = 541) of them had appropriate self-care behaviors. Our study revealed a close relationship between self-care and covariates such as gender, depression, having comorbidities, abdominal obesity, economic status and education. The odds ratio of the association between depressive mood and lack of self-care in primary multivariable logistic regression was 2.21 (95% CI: 1.62-3.00, p < 0.001) and after misclassification bias adjusting, it was equal to 3.4 (95% CI: 1.7-6.6, p < 0.001). The OR percentage of bias was - 0.55.

CONCLUSION

After adjusting for depression misclassification bias and random error, the observed association between depression and self-care was stronger. According to our findings, psychiatric interventions, and counseling and education along with self-care interventions are necessary for these patients. Special attention should be paid to male, low economic classes, less educated and those having a history of comorbidities along with psychological assessment when improving the care and progress of treatment in diabetic patients is expected. Future studies are needed to clarify the role of other psychological disorders on self-care of diabetics.

Metabolic Syndrome and Its Components are Associated with In-Hospital Complications after Thoracic Endovascular Aortic Repair for Acute Type B Aortic Dissection

BACKGROUND

This study aimed to explore whether and to what extent metabolic syndrome (MetS) and its components are associated with in-hospital complications in patients with acute type B aortic dissection after thoracic endovascular aortic repair (TEVAR).

METHODS

We retrospectively enrolled 684 patients who had undergone TEVAR. Demographic and clinical data were collected and subgroup analysis, mixed-model regression analysis, scoring systems, and receiver operating characteristic (ROC) curve analyses were performed.

RESULTS

Overall, 684 inpatients were assigned to the poor outcome (n = 90) or no complications (n = 594) group. Compared to the no complications group, the poor outcome group had a higher incidence of MetS (44 [48.9%] vs. 120 [20.2%], P < 0.05). In the subgroup analysis, in-hospital complications were present in 3.1%, 6.6%, 11.9%, 20.7%, 40.0%, and 62.5% of patients in the 6 groups who met the 0, 1, 2, 3, 4, and 5 MetS diagnostic criteria, respectively. On multivariable logistic regression, hypertension (odds ratio [OR]: 2.680; 95% confidence interval [CI]: 1.571-4.570), type 2 diabetes (OR: 2.135; 95% CI: 1.192-3.824), quartiles of body mass index (OR: 1.801; 95% CI: 1.415-2.291), high-density lipoprotein cholesterol (OR: 0.763; 95% CI: 0.611-0.953), and systolic blood pressure (OR: 1.894; 95% CI: 1.486-2.413) were independent factors for in-hospital complications after adjustment for other risk factors. After adjusting for potential confounding factors, MetS was an independent risk factor for in-hospital complications. We established a scoring system for each component and the area under the ROC curve was 0.664 (95% CI: 0.618-0.710) in all patients, 0.672 (95% CI: 0.595-0.749) in patients with MetS, and 0.610 (95% CI: 0.552-0.667) in patients without MetS, as determined by ROC analysis.

CONCLUSIONS

MetS, especially the blood pressure component, confers a greater risk of in-hospital complications in patients with acute type B aortic dissection after TEVAR.

Metabolic syndrome in primary care: A latent variable analysis of electronic medical records

BACKGROUND

The best definition of the metabolic syndrome (MetSyn) remains controversial. The aim was to develop a latent variable measurement model for the MetSyn using primary care data.

METHODS

This retrospective case-control study was based on the data from the IQVIA Disease Analyzer (DA) database including a representative panel of general and internal medicine practices in Germany. 23,020 adult patients, who were newly diagnosed with ≥1 component of the MetSyn (cases; median age [IQR]: 60 [50-72] years; 54 % males) between January 2016 to December 2019, and 2,144 patients without any MetSyn component (controls; 48 [38-61] years; 45 % males) were included. MetSyn was modeled by ICD-10 codes (E66: obesity, I10: hypertension, E11: type 2 diabetes, E78: lipid disorders) and physiological measures (BMI, HbA1c, blood pressure, HDL-cholesterol, LDL-cholesterol, triglycerides).

RESULTS

The covariance structure of the ICD codes and physiological measures could not be accounted for by a single MetSyn factor (root mean square error of approximation, RMSEA=0.085). Enrichment by another factor "Likelihood to Diagnose" significantly increased model fit with the observed data (RMSEA=0.054). "Likelihood to Diagnose" hardly correlated with MetSyn (r = 0.06), and was differentially associated with male sex, older age, and corresponding cardio- and cerebrovascular diseases. MetSyn showed the highest loading on four subordinate factors "hyperlipidemia" (0.70), "obesity" (0.66), "type 2 diabetes" (0.60), followed by "hypertension" (0.42). The ICD codes E66 and E78 were less indicative of these factors relative to BMI and triglycerides/HDL-cholesterol, respectively, whereas E11 and I10 were similarly indicative as their corresponding physiological measures.

CONCLUSIONS

MetSyn was best indicated by BMI, triglycerides (an indirect marker of insulin sensitivity), HbA1c, and ICD-10 diagnosis E11 (type 2 diabetes). The factor "Likelihood to diagnose" probably constitutes a method factor of differential diagnosis systematically contributing to the common consistency of the MetSyn diagnosis in primary care.

Role of serum C1q/TNF-related protein family levels in patients with acute coronary syndrome

Background

The C1q/TNF-related protein (CTRP) family affects inflammation regulation, energy metabolism, and insulin signaling. However, their role in acute coronary syndrome (ACS) development is unclear. In this cross-sectional study, we aimed to investigate the association between CTRP family and ACS.

Methods

We enrolled 289 consecutive inpatients with suspected ACS. Serum CTRP family, tumor necrosis factor-α (TNF-α), and adiponectin (ADP) levels were assessed using enzyme-linked immunosorbent assay (ELISA). Multivariate logistic regression and subgroup analyses were used to assess risk factors for ACS. Spearman's tests were used to analyze correlations between CTRP family and continuous variables.

Results

Serum CTRP family levels differed significantly between ACS and Control groups (p < 0.05). After adjusting for confounding factors, CTRP family were independently associated with ACS (p < 0.05). The association between serum CTRP family levels and ACS was stable in various subgroups according to sex, age, diabetes mellitus, and dyslipidemia status (p for interaction > 0.05). Increasing tertiles of serum CTRP1 levels, significantly increased ACS risks, which decreased gradually with increasing CTRP2, CTRP12, and CTRP13 tertiles (p for trend < 0.05). Additionally, serum CTRP1, CTRP2, CTRP13, and CTRP15 levels were weakly correlated with the severity of coronary artery stenosis.

Conclusion

CTRP1 and CTRP5 were identified as independent ACS risk factors, whereas CTRP2, CTRP3, CTRP9, CTRP12, CTRP13, and CTRP15 were independent protective factors for ACS. CTRP family, especially CTRP1 and CTRP3 could be novel potential clinical biomarkers of ACS.

Metabolic syndrome and its components are associated with hypoxemia after surgery for acute type A aortic dissection: an observational study

Background

The aim of this study was to explore whether or to what extent metabolic syndrome (METs) and its components were associated with hypoxemia in acute type A aortic dissection (ATAAD) patients after surgery.

Methods

This study involved 271 inpatients who underwent surgery. Demographic and clinical data were collected. Subgroup analysis, mixed model regression analysis, and receiver operating characteristic (ROC) curve analysis were performed, and a scoring system was evaluated.

Results

The 271 inpatients were assigned to the hypoxemia group (n = 48) or no hypoxemia group (n = 223) regardless of METs status. Compared to the no hypoxemia group, the hypoxemia group had a higher incidence of METs. Hypoxemia was present in 0%, 3.7%, 19.8%, 51.5%, 90.0% and 100% in the groups of individuals who met the diagnostic criteria of MetS 0, 1, 2, 3, 4 and 5 times, respectively. In the multivariable logistic regression analysis, BMI quartile was still a risk factor for hypoxemia after adjustment for other risk factors. After adjustment for potential confounding factors, METs was an independent risk factor for hypoxemia in several models. After assigning a score for each METs component present, the AUCs were 0.852 (95% CI 0.789–0.914) in all patients, 0.728 (95% CI 0.573–0.882) in patients with METs and 0.744 (95% CI 0.636–0.853) in patients without METs according to receiver operating characteristic analysis.

Conclusions

METs, especially body mass index, confers a greater risk of hypoxemia in ATAAD after surgery.

Association Between Novel Pro- and Anti- Inflammatory Adipocytokines in Patients with Acute Coronary Syndrome

Background and aims

Novel pro- and anti-inflammatory adipocytokines affect inflammation, energy metabolism, and insulin signaling. However, their role in acute coronary syndrome (ACS) development is unclear. We evaluated the diagnostic and risk predictive value of such adipocytokines for ACS.

Methods

We enrolled 168 consecutive inpatients with suspected ACS and detected serum PLIN1, PLIN2, PLIN5, CTRP6, CTRP7, CTRP11, WISP1, FAM19A5, TNF-α, and adiponectin levels. Multivariate logistic regression analysis and Spearman's test were used to assess risk factors for ACS and correlations between serum adipocytokines and continuous variables, respectively.

Results

Serum levels of the adipocytokines differed between ACS and Non-ACS groups (p < 0.05). After adjusting for confounding factors, serum PLIN1, PLIN2, PLIN5, CTRP6, CTRP7, CTRP11, WISP1, and FAM19A5 levels were independently associated with ACS (p < 0.05). Increasing tertiles of serum PLIN1, PLIN2, CTRP7, CTRP11, and WISP1 levels increased the ACS risk, which decreased gradually with increasing PLIN5 and CTRP6 tertiles (p for trend <0.05). Serum PLIN1, PLIN5, CTRP6, CTRP7, CTRP11, WISP1, and FAM19A5 levels correlated with ACS severity.

Conclusions

PLIN1, PLIN2, CTRP7, CTRP11, and WISP1 were identified as independent ACS risk factors, whereas PLIN5, CTRP6, and FAM19A5 were independent protective factors for ACS. These serum adipocytokines are novel potential clinical biomarkers of ACS.

Prevalence of Metabolic Syndrome According to Absolute and Relative Values of Muscle Strength in Middle-Aged and Elderly Women

Metabolic syndrome (MetS) increases with age, obesity, low physical activity, and decreased muscle strength. Although many studies have reported on grip strength and MetS, few studies have been conducted on leg strength. The purpose of this study was to analyze the prevalence of MetS according to absolute and relative leg strength values in middle-aged and older women. The participants were 1053 women who visited the healthcare center: middle-aged (n = 453) and older (n = 601). MetS was diagnosed using the criteria established by the third report of the National Cholesterol Education Program Adult Treatment Panel III and the World Health Organization's Asia Pacific guidelines for waist circumference. For leg strength, knee flexion and extension were performed using isokinetic equipment. Grip strength was measured using a grip dynamometer and classified into quartiles. Analysis of prevalence using logistic regression showed that MetS was present in 21.2% of middle-aged and 39.4% of older women. The lowest relative leg extension increased 2.5 times in the middle-aged and 1.5 times in older women (p < 0.05). However, leg flexion did not have a significant prevalence in either age group. The prevalence of MetS in middle-aged and older women with the lowest relative grip strength increased 1.5 and 1.2 times, respectively. Conversely, the lower the absolute leg extension strength, the lower the MetS prevalence was at 0.520 in middle-aged and 0.566 in older women (p < 0.05). In conclusion, the prevalence of MetS increased in women with low relative grip and leg strengths. Specifically, the lower the relative leg extension muscle strength, the higher the prevalence of MetS. In addition, the prevalence of MetS increased in the high-frequency alcohol consumption and non-physical activity group.

Metabolic syndrome and its components reduce coronary collateralization in chronic total occlusion: An observational study

BACKGROUND

Metabolic syndrome (MetS) is an independent risk factor for the incidence of cardiovascular diseases. We investigated whether or to what extent MetS and its components was associated with coronary collateralization (CC) in chronic total occlusion (CTO).

METHODS

This study involved 1653 inpatients with CTO. Data on demographic and clinical characteristics were collected by cardiovascular doctors. The CC condition was defined by the Rentrop scoring system. Subgroup analysis, mixed model regression analysis, scoring systems and receiver operating characteristic (ROC) curve analysis were performed.

RESULTS

Overall, 1653 inpatients were assigned to the poor CC group (n = 355) and good CC group (n = 1298) with or without MetS. Compared to the good CCs, the incidence of MetS was higher among the poor CCs for all patients. Poor collateralization was present in 7.6%, 14.2%, 19.3%, 18.2%, 35.6% and 51.1% of the six groups who met the diagnostic criteria of MetS 0, 1, 2, 3, 4 and 5 times, respectively. For multivariable logistic regression, quartiles of BMI remained the risk factors for CC growth in all subgroups (adjusted OR = 1.755, 95% CI 1.510-2.038, P < 0.001 all patients; adjusted OR = 1.897, 95% CI 1.458-2.467, P < 0.001 non-MetS; and adjusted OR = 1.814, 95% CI 1.482-2.220, P < 0.001 MetS). After adjustment for potential confounding factors, MetS was an independent risk factor for CC growth in several models. Assigning a score of one for each component, the AUCs were 0.629 (95% CI 0.595-0.662) in all patients, 0.656 (95% CI 0.614-0.699) in MetS patients and 0.569 (95% CI 0.517-0.621) in non-MetS patients by receiver operating characteristic analysis.

CONCLUSIONS

MetS, especially body mass index, confers a greater risk of CC formation in CTO. The value of scoring systems should be explored further for CTO.

Profiles of US Law Enforcement Officers' Diagnosed Health Conditions: Results From a Probability-Based Sample of Officers

OBJECTIVE

To assess comorbidity across five common health conditions.

METHODS

Surveys were collected from a probability-based sample of US law enforcement officers, and latent class models estimated for hypertension (HTN), high blood cholesterol (LDL), diabetes (DM), a gastrointestinal disorder (GI), and sleep apnea (SA).

RESULTS

The majority of officers (69.4%) were classified in a Healthy profile. One in four officers (23.7%) were classified in a LDL-HTN-DM profile. About 7% of officers were classified in a GI-SA-HTN profile. Age, sex, body mass index (BMI), exercise, and working a rotating shift assignment distinguished class membership.

CONCLUSION

Most officers reported good health. Law enforcement administrative or clinical assessments using readily accessible measures might be informative in identifying risk categories of need for more targeted prevention and treatment support.

Skin and metabolic syndrome: A review of the possible associations

Metabolic syndrome (MeTS) is a well-known health-related problem with several end-organ damages and the resulted side effects such as rising in the blood glucose and lipid and blood pressure. Although MeTS might show several skin symptoms such as acanthosis nigricans, skin tags, acne, and androgenic alopecia, it could also be implicated in the pathophysiology of numerous dermatologic disorders. Furthermore, some dermatologic drugs might be implicated in the incidence or exacerbation of MeTS. Consequently, MeTS and skin problem could interfere closely with each other and each one could predispose the patient to the other one and vice versa. Remembering these close relationships help us to have better therapeutic choices regarding each inflammatory skin conditions. Moreover, some of the skin symptoms should be followed cautiously to define the underlying MeTS.

Oxidant/antioxidant status in Type-2 diabetes mellitus patients with metabolic syndrome

BACKGROUND

The concurrence of metabolic syndrome (MS) and diabetes mellitus (DM) is increasing worldwide. The long-term complications of these chronic diseases are a threat to patients' well-being. Oxidative stress is involved in the pathogenesis of several diseases. To understand the basic pathophysiological mechanisms of Type-2 DM (T2DM) and its related complications, we aimed to investigate the oxidant/antioxidant status and Na+-K+ ATPase activity in T2DM with MS.

MATERIALS AND METHODS

A population of ninety individuals including fifty patients diagnosed with T2DM and MS, but without overt diabetes complications, and forty individuals without T2DM or MS as control group participated in this study. Plasma malondialdehyde (MDA), catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GPx) activities, total antioxidant capacity (TAC), and Na+-K+ ATPase activity were assessed by standard laboratory methods.

RESULTS

Plasma MDA in patients group was statistically significantly higher than that of controls (P ≤ 0.05). Whereas, Na+-K+ ATPase activity was statistically significantly lower in patient group (P ≤ 0.05). TAC, CAT, SOD, and GPx enzyme activities were not statistically significantly different between two groups (P > 0.05). Results from the patient group showed positive correlations between CAT activity and triglyceride and positive correlations between GPx activity and weight, body mass index (BMI), and waist circumference. In addition, there was a positive correlation between MDA results with high-density lipoprotein-cholesterol (HDL-C) and total cholesterol and a negative correlation with TAC, BMI, and weight (P ≤ 0.05) in controls.

CONCLUSION

Because T2DM patients were without any vascular complications, antioxidant defense results may reflect the lack of progression of diabetes complications in these patients. These results emphasize the need for initial and continued assessment of cardiovascular disease risks in diabetic individuals. Implementation of timely interventions may improve the management of diabetes and prevent the progression of diabetes complications.

Incidence of metabolic syndrome and determinants of its progression in Southern Iran: A 5-year longitudinal follow-up study

BACKGROUND

Metabolic syndrome (MetS) is a cluster of conditions increasing the risk of serious diseases. This study aimed to define the predictors of MetS incident in a community-based cohort in Southern Iran, during a mean follow-up period of 5.1 years.

MATERIALS AND METHODS

During the mean follow-up period of 5.1 years, a cohort study was conducted on 819 Iranian adults aged ≥18 years at baseline and followed to determine the incidence and predictors of MetS progression in Shiraz, a main urban region in the southern part of Iran. The International Diabetes Federation Guideline was used to detect the MetS. Multiple Cox's proportional hazards models were also used to estimate the predictors of new-onset MetS.

RESULTS

The prevalence of MetS was 25.9% at baseline, and the overall incidence of subsequent MetS was 5.45% (95% confidence interval [CI]: 4.47-6.59). The incidence of MetS was significantly higher in women (7.12% [95% CI: 5.52-9.05]) than in men (3.92% [95% CI: 2.80-5.34]). Moreover, it increased by 5.02 (95% CI, 3.75-6.58) among individuals who had one metabolic component and by 12.65 (95% CI, 9.72-16.18) for those who had three or more components (P < 0001). The incidence of MetS was also analyzed using the multiple Cox's proportional hazards model for potential risk factors, and it was revealed that female gender (hazard ratio [HR] 2.45; 95% CI: 1.33, 4.50; P = 0.004), higher body mass index (HR 3.13; 95% CI: 1.43.6.84; P = 0.012), increased abdominal obesity (HR 1.45; 95% CI 0.85, 2.46; P = 0.045), smoking (HR 4.79; 95% CI 2.09, 10.97; P < 0.001), and lower high-density lipoprotein (HR 0.53; 95% CI: 0.29, 1.00; P = 0.044) significantly predicted the onset of MetS at baseline; however, age, systolic and diastolic blood pressure, serum uric acid, fasting blood glucose, cholesterol, triglyceride and creatinine, estimated glomerular filtration rate, marital status, level of education, and level of physical activity did not independently predict the onset of MetS when other covariates were considered.

CONCLUSION

This study showed the high-incidence rates of MetS in males and females residing in Southern Iran. Therefore, the prevention through community-based lifestyle modification should be implemented to reduce the burden of MetS and its complications.

Relationship Between the Consumption of Milk-Based Oils Including Butter and Kermanshah Ghee with Metabolic Syndrome: Ravansar Non-Communicable Disease Cohort Study

BACKGROUND

The prevalence of metabolic syndrome (MetS) in recent years has been growing in different societies, which may be due to lifestyle changes including changes in diet, in particular the consumption pattern of edible oils. The purpose of this study was to investigate the relationship between the consumption of animal oils including butter and Kermanshah ghee with MetS and its components in the adult population of Ravansar Non-Communicable Disease (RaNCD) cohort study.

METHODS

This cross-sectional study was carried out on 5550 adults aged 35-65 years using baseline data of Ravansar's prospective study center in Iran. MetS was defined according to the criteria of modified NCEP ATP III for Iranian adults. Relationship between the consumption of butter and Kermanshah ghee and MetS was analyzed by logistic regression model using STATA software.

RESULTS

In our study, the frequency of MetS was 31.40%. The mean body mass index and mean age were 27.1±4.6 kg/m² and 47.6±8.2 years. The mean values of consumed butter and Kermanshah ghee were 3.3±1.8 and 5.1±2.3 g/day, respectively. After adjusting the confounding variables, the highest to the lowest quintile of butter and Kermanshah ghee consumption showed a reverse correlation with the MetS (OR = 0.7, 95% CI = 0.5-0.9) and (OR= 0.7, 95% CI=0.6-0.9), respectively.

CONCLUSION

This study revealed a reverse relationship between milk and Kermanshah ghee consumption with MetS and its components. Therefore, consumption of milk-based oils may be associated with lower cardiovascular risk factors.