Metabolic syndrome components and diabetes incidence according to the presence or absence of impaired fasting glucose: The Japan Epidemiology Collaboration on Occupational Health Study

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.

Independent association of metabolic syndrome severity score and risk of diabetes: findings from 18 years of follow-up in the Tehran Lipid and Glucose Study

OBJECTIVES

This study aimed to investigate the association between age-specific and sex-specific continuous metabolic syndrome severity score (cMetS-S) and the risk of developing type 2 diabetes mellitus (T2DM). Additionally, the study aimed to assess the added value of cMetS-S in predicting T2DM compared with traditional MetS criteria.

DESIGN

The study used a longitudinal cohort design, following participants for 18 years.

SETTING

The research was conducted within the Tehran Lipid and Glucose Study, a community-based study in Tehran, Iran.

PARTICIPANTS

A total of 6957 participants aged 20-60 years were included in the study.

INTERVENTIONS/EXPOSURES

The cMetS-S of each participant was determined using age-specific and sex-specific equations and Cox proportional hazard regression models were used to analyse the association between cMetS-S and T2DM using continuous and quantile approaches.

PRIMARY AND SECONDARY OUTCOME MEASURES

The outcome measure was the association between cMetS-S and the development of T2DM during the 18-year follow-up.

RESULTS

A total of 1124 T2DM cases were recorded over 18 years of follow-up. In the fully adjusted model, a 1-SD increase in the cMetS-S was associated with future T2DM (HR 1.72; 95% CI 1.54 to 1.91). Men and women had HRs of 1.65 (95% CI 1.40 to 1.95) and 1.83 (95% CI 1.59 to 2.10) for T2DM per 1-SD increase in cMetS-S, respectively. Higher cMetS-S was associated with increased risk of diabetes in both prediabetic (HR 1.42;95% CI 1.23 to 1.64) and normoglycaemic individuals (HR 2.11;95% CI 1.76 to 2.54); this association was more significant in normoglycaemic individuals. Unlike the traditional-based MetS definitions, the cMetS-S improved diabetes prediction (p<0.001).

CONCLUSIONS

The cMetS-S is strongly associated with future diabetes in prediabetic and normoglycaemic individuals independent of MetS components during a long term. As the relationship between cMetS-S and T2DM is more pronounced in normoglycaemic individuals than in those with pre-diabetes, implementing the evaluation of cMetS-S can serve as an early identification tool for individuals at risk of T2DM prior to the onset of pre-diabetes.

Association between gamma glutamyl transpeptidase to HDL-Cholesterol (GGT/HDL-C) ratio and metabolic syndrome resolution after sleeve gastrectomy

OBJECTIVE

To evaluate the association between GGT/HDL-C ratio and resolution of MetS in adults after sleeve gastrectomy (SG).

METHODS

We conducted a retrospective cohort study using secondary data from a Peruvian bariatric center. The study population consisted of adults aged 18 and above who underwent laparoscopic SG and were diagnosed with MetS prior to the surgery. The main outcome measured was MetS resolution 6 months post-surgery and the exposure variable was the GGT/HDL-C ratio.

RESULTS

We analyzed 137 patients with a mean age of 38.9 ± 10.9 years; 64.2% were females. The median GGT/HDL-C ratio was 1.1 [0.7 - 1.5], and 83.9% of patients experienced resolution of MetS. Furthermore, both the middle tertile of GGT/HDL-C (aRR: 1.28; 95% CI: 1.04 - 1.58; p = .019) and the lowest tertile (aRR: 1.27; 95% CI: 1.01 - 1.60; p = .038) showed a significant association with the resolution of MetS.

CONCLUSION

Eight out of 10 patients undergoing SG experience resolution of MetS within 6 months after surgery. Patients in the middle and lower tertiles of the GGT/HDL-C were more likely to achieve this outcome. Therefore, the GGT/HDL-C ratio should be considered a valuable and efficient biomarker for preoperative assessment of bariatric surgery candidates.

Perceptions and Proficiencies of Primary Care Physicians Treating Metabolic Syndrome: A Descriptive Survey-Based Study

INTRODUCTION

Metabolic syndrome (MetS) is a chronic condition that has been implicated in adverse public health outcomes worldwide, including in the United States. It has been linked to diseases such as type 2 diabetes and heart disease. Little is known about the perceptions and practices of primary care physicians (PCPs) regarding MetS. The only studies examining this research topic were conducted outside the United States. The aim of this study was to evaluate the MetS knowledge, proficiency, training, and practices of American PCPs, for the purpose of informing future physician education initiatives directed at MetS.

METHODS

This was a descriptive correlational design using a Likert-scale questionnaire. The survey was distributed to more than 4000 PCPs. The first 100 completed surveys were evaluated using descriptive statistical analyses.

RESULTS

Cumulative survey results revealed that most PCPs perceived themselves as knowledgeable on MetS, but only a minority demonstrated an understanding of leading-edge MetS protocols. Ninety-seven percent agreed that MetS is a condition of concern, but only 22% reported possessing sufficient time and resources to fully address MetS. Only half indicated that they had received training in MetS.

DISCUSSION

Overall results suggested that a lack of time, training, and resources may pose the greatest obstacles to optimal MetS care. Future studies should aim to identify the specific reasons why these barriers exist.

Serum leptin levels in patients with chronic kidney disease and hypertensive heart disease: An observational cross-sectional study

Background and Aim

Adipocytes secrete a peptide hormone called leptin, which plays a crucial role in controlling appetite and energy expenditure. Alterations in leptin concentrations are associated with CKD-related cardiovascular problems such as hypertensive heart disease (HHD). Despite the link, data on the precise function of leptin in people with CKD and HHD is scant.

Methods

An observational cross-sectional study involving a total of 108 participants (72 CKD patients with HHD and 36 healthy controls). Their demographic and anthropometric information was collected using a standardized questionnaire. Certain clinical measures such as blood pressure and body mass index (BMI) were assessed. Fasting blood samples were analyzed for levels of plasma glucose (FPG), lipids, creatinine, and leptin. Data were analyzed with SPSS v23.

Results

Leptin, FPG, creatinine and triglyceride levels were all significantly higher in CKD patients with HHD compared to controls (p < 0.01 for all). Furthermore, advanced CKD status (being in stage 5), having a 6-year diagnosis of HHD, being female, having a higher BMI, and elevation in levels of HDL and FPG contributed significantly to the variance in serum leptin levels in the case group (β = 0.37, 0.22, 0.19, 0.18, 0.27, 0.28; p < 0.05 for all). In the control group, the female gender had the biggest unique effect on circulating leptin levels, followed by BMI and eGFR (β = 0.71, 0.34, -0.22; p < 0.01 for all).

Conclusion

Patients with CKD who also had HHD reported considerably higher circulating leptin levels. Significantly higher blood leptin levels were shown to be associated with CKD stage 5 in the case group. These results are consistent with the role of leptin in the metabolic complexity seen in CKD patients. There needs to be more research into treatments that aim to lower leptin levels in CKD patients with HHD.

Total Testosterone to Estradiol Ratio as a Predictor Marker of Metabolic Syndrome in Males

Nowadays, metabolic syndrome (MetS) represents a global health challenge in developed and developing countries. The sex hormones disorders in males are related to many clinical co-morbidities. This study aimed to evaluate the total testosterone (TT) to estradiol (E2) ratio as a predictor marker of MetS. This case-control study included 88 MetS patients and 88 healthy individuals (control), in the age range of 18-69 years who were selected among patients who were referring to an outpatient clinic, using a convenience sampling method. The study participants were selected based on their medical history and physical examination, which included waist circumference, blood pressure, serum E2, TT, fasting blood glucose (FBG), triglyceride (TG), and high-density lipoprotein-cholesterol (HDL-C). Diagnosis of MetS was confirmed according to the National Cholesterol Education Program Adult Treatment Panel III guidelines. The findings revealed that the mean TT level was significantly lower among patients with MetS (P<0.001), while the mean E2 level was significantly higher among patients with MetS (P<0.001). The mean TT to E2 ratio was significantly lower among patients with MetS (OR=9.6, P<0.001). There was a significant correlation between MetS components and TT to E2 ratio and waist circumference (WC) (r = - 0.49, P<0.0001). The means of weight, WC, blood pressure, and FBG levels were significantly higher in patients with MetS (P<0.001, P<0.001, P<0.001, P=0.04, respectively), and the lipid profile of patients with MetS was abnormal (TG, P<0.001, HDL-C, P<0.001). Eventually, it can be concluded that the TT to E2 ratio can be regarded as a significant predictor of MetS in males.

Incidence and prediction nomogram for metabolic syndrome in a middle-aged Vietnamese population: a 5-year follow-up study

PURPOSE

We aimed to determine the incidence and prediction nomogram for new-onset metabolic syndrome (MetS) in a middle-aged Vietnamese population.

METHODS

A population-based prospective study was conducted in 1150 participants aged 40-64 years without MetS at baseline and followed-up for 5 years. Data on lifestyle factors, socioeconomic status, family diabetes history, and anthropometric measures were collected. MetS incidence was estimated in general population and subgroup of age, gender, and MetS components. A Cox proportional hazards regression was used to estimate hazard ratios (HRs) with 95% confidence intervals (CI) for MetS. A prediction nomogram was developed and checked for discrimination and calibration.

RESULTS

During median follow-up of 5.14 years, the accumulate MetS incidence rate was 23.4% (95% CI: 22.2-24.7). The annual incidence rate (95% CI) was 52.9 (46.7-60.1) per 1000 person-years in general population and higher in women [56.6 (48.7-65.9)] than men [46.5 (36.9-59.3)]. The HRs (95% CI) for developing MetS were gender [females vs males: 2.04 (1.26-3.29)], advanced age [1.02 (1.01-1.04) per one year], waist circumference [1.08 (1.06-1.10) per one cm] and other obesity-related traits, and systolic blood pressure [1.02 (1.01-1.03) per one mmHg]. The prediction nomogram for MetS had a good discrimination (C-statistics = 0.742) and fit calibration (mean absolute error = 0.009) with a positive net benefit in the predicted probability thresholds between 0.13 and 0.70.

CONCLUSIONS

The study is the first to indicate an alarmingly high incidence of MetS in a middle-aged population in Vietnam. The nomogram with simply applicable variables would be useful to qualify individual risk of developing MetS.

Incidence and Risk Factors for Progression to Diabetes Mellitus: A Retrospective Cohort Study

(1) Objective: This study examined the incidence and risk factors contributing to the progression to diabetes mellitus (DM) in a seven-year follow-up study of non-diabetic National Health Examinees. (2) Methods: For this retrospective observational cohort study, we used two national representative databases: the National Health Screening (HEALS) database 2009 and the National Health Insurance Service (NHIS) database 2009-2015. The eligible subjects without DM with blood sugar levels of <126 mg/dL were selected using the HEALS database. The subsequent follow-up and clinical outcomes were evaluated using the NHIS database. Cox proportional hazard regression was applied to examine the effects of the covariates on progression to diabetes. (3) Results: Among those who took part in the national health screening in 2009, 4,205,006 subjects who met the eligibility criteria were selected. Of these, 587,015 were diagnosed with DM during the follow-up by 2015. The incidence of progression from non-diabetes to DM was 14.0%, whereas that from impaired fasting glucose (IFG) to DM was 21.9%. Compared to the normal group, the newly diagnosed DM group was more likely to comprise older, female, currently smoking, and high-risk drinking participants and participants with IFG, hypertension, dyslipidemia, and metabolic syndrome. (4) Conclusions: This epidemiological study in the Republic of Korea found risk factors similar to those of other studies, but the incidence of progression to DM was 22.8 per 1000 person-years, which is higher than that previously reported. Hence, more care is needed to prevent DM.

Pre-Metabolic Syndrome and Incidence of Type 2 Diabetes and Hypertension: From the Korean Genome and Epidemiology Study

The aim of this study was to investigate the prevalence of premetabolic syndrome (pre-MetSyn) and its components and to longitudinally examine their association with new-onset type 2 diabetes (T2D) or hypertension. A total of 4037 men and 4400 women aged 40 to 69 years were selected from the Korean Genome and Epidemiology Study, observed from 2001 to 2014. Pre-MetSyn was defined as the presence of one or two components of MetSyn (B, elevated blood pressure; G, elevated glucose; H, low HDL-cholesterol; T, elevated triglycerides; W, increased waist circumference). The prevalence of pre-MetSyn was higher than that of non-MetSyn and MetSyn in both men and women. In multivariate Cox regression analyses, G, T, G+T, W+G, B+G, B+T, W+T, B+H, and H+T in men and G, T, G+H, B+T, and H+T in women were significantly associated with new-onset T2D. B, W, B+H, B+T, W+H, and W+T in men and B, B+T, B+H, B+W, and W+H in women were significantly associated with new-onset hypertension. The prevalence of pre-MetSyn components and their associations with new-onset T2D or hypertension differed according to sex and disease. Our results suggest that specific phenotypes of pre-MetSyn may be important factors for predicting and preventing the development of T2D and hypertension.

Visceral Adiposity Index and Lipid Accumulation Product as diagnostic markers of Metabolic Syndrome in South Indians with Polycystic Ovary Syndrome

BACKGROUND

Cardiovascular disease (CVD) is one of the debilitating consequences of polycystic ovary syndrome (PCOS). Early diagnosis of metabolic syndrome (MetS) with a simple but accurate method can reduce the risk of progression to CVD in PCOS.

AIMS

This study aimed to determine the accuracy of various anthropometric indices and lipid accumulation product (LAP), in assessing the risk of MetS in PCOS.

SETTINGS AND DESIGN

This is a cross-sectional study including 150 PCOS women and 100 control subjects.

MATERIALS AND METHODS

Anthropometric parameters were measured and calculated. Lipid profile, fasting plasma glucose (FPG), and insulin were estimated. MetS was detected according to the International Diabetes Federation criteria.

STATISTICAL ANALYSIS

Logistic regression and receiver operating characteristic curve analysis were applied to determine the potential association of anthropometric indices such as body mass index, waist circumference (WC), waist-to-hip ratio, waist-to-height ratio, conicity index (CI), visceral adiposity index (VAI), abdominal volume index (AVI), body adiposity index (BAI), and a body shape index (ABSI) and LAP with MetS.

RESULTS

In our study of PCOS women of the south Indian population, the prevalence of MetS was 59.3%, which was higher than other populations and the cutoff values of VAI and LAP were 6.05 and 53, respectively. VAI showed the strongest association with MetS, followed by diastolic blood pressure BP, FPG, and LAP.

CONCLUSIONS

We recommend VAI and LAP as new indices for MetS diagnosis. As these indices exhibit population specificity, it is imperative that independent cutoffs are determined for every demographic population.

Risk and population attributable fraction of metabolic syndrome and impaired fasting glucose for the incidence of type 2 diabetes mellitus among middle-aged Japanese individuals: Aichi Worker's Cohort Study

AIMS/INTRODUCTION

The Japanese government started a nationwide screening program for metabolic syndrome (MetS) to prevent cardiovascular diseases and diabetes in 2008. Although impaired fasting glucose (IFG) is a strong predictor for type 2 diabetes mellitus, the program does not follow up IFG in non-MetS individuals. This study aimed to examine the risk and the population attributable fraction (PAF) of MetS and IFG for incidence of type 2 diabetes mellitus.

MATERIALS AND METHODS

Japanese workers (3,417 men and 714 women) aged 40-64 years without a history of diabetes were prospectively followed. MetS was defined as either abdominal obesity plus two or more metabolic risk factors, or being overweight in the case of normal waist circumference plus three or more metabolic risk factors. IFG was defined as fasting blood glucose 100-125 mg/dL.

RESULTS

During a mean 6.3 years, 240 type 2 diabetes mellitus cases were identified. Compared with those without MetS and IFG, the multivariable-adjusted hazard ratios (95% confidence interval) of non-MetS individuals with IFG, MetS individuals without IFG and MetS individuals with IFG for type 2 diabetes mellitus were 4.9 (3.4-7.1), 2.4 (1.6-3.5) and 8.3 (5.9-11.5), respectively. The corresponding PAFs for type 2 diabetes mellitus incidence were 15.6, 9.1 and 29.7%, respectively.

CONCLUSIONS

IFG represented a higher risk and PAF than MetS for type 2 diabetes mellitus incidence in middle-aged Japanese individuals. The coexistence of MetS and IFG showed the highest risk and PAF for type 2 diabetes mellitus incidence. The current Japanese MetS screening program should be reconsidered to follow up non-MetS individuals with IFG.

Combinations of metabolic syndrome components and the risk of type 2 diabetes mellitus: A nationwide cohort study

OBJECTIVE

It remains unclear which specific combinations of metabolic syndrome (MetS) components confer a higher risk of type 2 diabetes mellitus (T2DM). This study examined the relation of each and combinations of MetS components with the risk of T2DM.

METHODS

We studied the records of 19,475,643 adults aged ≥ 20 years with no history of T2DM from the database of the Korean National Health Insurance Service covering 2009 to 2012. The hazard ratios (HRs) and confidence intervals (CIs) of T2DM were estimated using Cox proportional hazards models.

RESULTS

During a median follow-up of 5.13 years, 1,906,963 individuals were diagnosed with T2DM. The multivariable-adjusted HRs for T2DM were 1.86 for MetS, 1.821 for elevated fasting plasma glucose (FPG), 1.484 for elevated triglycerides, 1.415 for reduced high-density lipoprotein (HDL) cholesterol, 1.413 for elevated blood pressure (BP), and 1.17 for abdominal obesity compared with those without. In the combinations of two components excluding elevated FPG, subjects with elevated triglycerides and reduced HDL cholesterol had the highest risk of T2DM (HR 1.71; 95% CI, 1.695-1.725). In three components, the highest risk combination was elevated FPG, elevated triglycerides, and reduced HDL cholesterol (HR 3.342; 95% CI, 3.308-3.376).

CONCLUSIONS

The combination of elevated triglycerides and reduced HDL cholesterol were more strongly associated with an increased risk of T2DM than other combinations except for elevated FPG.

Incidence of Diabetes in the Working Population in Spain: Results from the ICARIA Cohort

INTRODUCTION

Our objective was to evaluate the incidence of type 2 diabetes mellitus (T2DM) in a working population in Spain and to assess associations between its development and several risk factors.

METHODS

The ICARIA (Ibermutuamur CArdiovascular RIsk Assessment) cohort (n = 627,523) includes ~3% of Spanish workers. This analysis was undertaken in individuals whose glycaemic status during the index period (May 2004-December 2007) was determined to be normal or indicative of prediabetes [fasting plasma glucose (FPG) 100-125 mg/dl] and who had at least one FPG measurement taken 9 months after a first measurement during follow-up (May 2004-June 2014) (n = 380,366). T2DM patients were defined as those with an FPG ≥ 126 mg/day and those who had already been diagnosed with T2DM or were taking antihyperglycaemic medications.

RESULTS

The incidence rate of T2DM was 5.0 [95% confidence interval (CI) 4.9-5.1] cases per 1000 person-years. Under multivariate logistic regression analysis, the factor showing the strongest association with the occurrence of T2DM was the baseline FPG level, with the likelihood of T2DM almost doubling for every 5 mg/dl increase in baseline FPG between 100 and < 126 mg/dl. The presence of other cardiometabolic risk factors and being a blue-collar worker were also significantly associated with the occurrence of T2DM.

CONCLUSIONS

The incidence of T2DM in the working population was within the range encountered in the general population and prediabetes was found to be the strongest risk factor for the development of diabetes. The workplace is an appropriate and feasible setting for the assessment of easily measurable risk factors, such as the presence of prediabetes and other cardiometabolic factors, to facilitate the early detection of individuals at higher risk of diabetes and the implementation of diabetes prevention programmes.

FUNDING

Eli Lilly and Co.

Relationship Between Sitting Time, Physical Activity, and Metabolic Syndrome Among Adults Depending on Body Mass Index (BMI)

Background

The aim of this study was to assess the possible relationship between sitting time and physical activity and the risk of occurrence of metabolic syndrome and its components. Analyses were conducted in the whole sample, and with stratification according to BMI. We have formulated a hypothesis that individuals with different BMIs have different responses to metabolic health modifiers such as physical activity and sitting time.

Material/Methods

Altogether, the data from 10 367 participants from urban and rural areas, aged 37–66 years were used in the study (7479 of whom were overweight or obese). The definition of metabolic syndrome devised by the IDF Joint Interim Statement criteria using an ethnic-specific cut-off point for waist circumference as the central obesity criterion was used.

Results

In all analyzed BMI groups, longer sitting time was only associated with abdominal obesity (all p for trend <0.05). In participants declaring low physical activity levels, the risk of metabolic syndrome and abnormal triglycerides concentration was higher compared to those declaring high physical activity, regardless of BMI (all p for trend <0.05). In the group with overweight or obesity, low physical activity was associated with a higher risk of abdominal obesity (p for trend <0.05), increased glucose concentration (p for trend <0.05), and elevated blood pressure (p for trend <0.05). In participants with a normal BMI, these associations did not occur.

Conclusions

Our data suggest that physical activity helps preventive metabolic syndrome and its abnormal components, especially in participants who are overweight or obese.