Metabolic Syndrome Components and Long-Term Incidence of Cardiovascular Disease in Eastern Mediterranean Region: A 13-Year Population-Based Cohort Study

The Association between Social Support, Metabolic Syndrome, and Incidence of Cardio-Cerebrovascular Diseases in Older Adults: The ARIRANG Study

PURPOSE

We investigated the association between social support, metabolic syndrome, and incident cardio-cerebrovascular disease (CCVD) in rural Koreans aged ≥50 years.

MATERIALS AND METHODS

We conducted a prospective study using the Korean Genome and Epidemiology Study on Atherosclerosis Risk of Rural Areas in the Korean General Population (KoGES-ARIRANG) dataset. From the baseline of 5169 adults, 1682 participants were finally included according to the exclusion criteria. For outcomes, myocardial infarction, angina, and stroke were included. For independent variables, the social support score and metabolic syndrome were used. Descriptive statistics and multivariate logistic regression were performed to investigate the association among the variables. Paired t-test was conducted to analyze the longitudinal variation of social support scores.

RESULTS

During the 6.37 years of median follow-up, 137 participants developed CCVD. The adjusted odds ratio (aOR) of metabolic syndrome with persistently high social support was 2.175 [95% confidence interval (CI): 1.479-3.119]. The aOR of metabolic syndrome with persistently low social support was 2.494 (95% CI: 1.141-5.452). The longitudinal variation of the social support score of persistently high social support group was increased significantly by 4.26±26.32. The score of the persistently low social support group was decreased by 1.34±16.87 with no statistical significance.

CONCLUSION

The presence of metabolic syndrome increases the likelihood of developing onset CCVD. Within the metabolic syndrome positive group, when social support was persistently low, the cohort developed more cardio-cerebrovascular disease compared to the persistently higher social support group. The social support score of the persistently low social support group could be improved through proper intervention. To prevent CCVD, metabolic syndrome components and low social support should be improved in the study participants.

The association of long-term calcium and dairy products intake in adolescence with carotid intima media thickness and metabolic syndrome in early adulthood: Tehran Lipid and Glucose Study

BACKGROUND

Calcium could impact on vascular functions and structures and cause atherosclerosis. Thus, we aimed to examine the association of long-term calcium and dairy products intake in adolescence with cIMT and MetS in early adulthood.

METHODS

We considered 217 adolescents aged 12-18 years in the frame work of the Tehran Lipid and Glucose Study (2006-2009) and follow-up them to early adulthood (2015-2017). The valid food frequency questionnaire was used to assess dietary intake. Ultrasound examination was used to measure common carotid artery. The joint interim statement and cook et al. criteria were used for adults and adolescents to consider MetS, respectively.

RESULTS

Adolescents' average calcium intake from dairy and non-dairy sources were 395 mg/d and 1088 mg/d, respectively while adults had 212 mg/d and 1191 mg/d. In addition, the mean of cIMT in adults was 0.54 mm. There was no relationship of non-dairy (β: - 0.03; P = 0.804), and total calcium (β: - 0.001; P = 0.591) intake with cIMT and TG. None of the dairy products had link with cIMT, MetS and its components, except cream with cIMT after full adjustment of potential confounders (β: 0.245; P = 0.009). Also, we found that the intake of non-dairy products could increase DBP after controlling for potential confounders (β: 0.365; P = 0.012). Adolescence with higher quartiles of total calcium intake had no odds ratio of MetS in early adulthood (β: 2.05, P = 0.371).

CONCLUSIONS

Adolescence calcium and dairy products intake, with the exception of cream did not increase early adulthood cIMT and MetS and its components.

Association Between Premorbid Metabolic Syndrome and Coronary Arterial Stenosis: Results from One Medical Center in Taiwan

Background: Although the relationship between metabolic syndrome (MetS) and cardiovascular disease is already well-established, there is limited evidence as to whether individuals are at risk for cardiovascular disease during the premorbid state of MetS. The aim of this study is to explore the relationship between coronary arterial stenosis and MetS in a nonhypertensive and nondiabetic population. Methods: In this cross-sectional study, we analyzed the data of participants who underwent annual health checkups in a medical center. These data were collected from physical examination, blood tests, cardiac computed tomography examinations, and medical charts. We excluded those with established hypertension or diabetes and age of <50 or >75 years. Results: This study recruited 700 participants with a mean age of 59.5 years. More than 31% had MetS, and the overall prevalence of coronary arterial stenosis was 48.0% (grade 1, 2, 3, 4: 16.3%, 20.9%, 8.4%, 2.4%, respectively). In univariate analysis, older age, male sex, smoking, body mass index, elevated fasting plasma glucose (FPG), elevated triglyceride, lower level of high-density lipoprotein cholesterol, and presence of MetS were all positively correlated with coronary arterial stenosis. After adjustment for confounding factors, MetS still showed strong association with high grades of coronary arterial stenosis [odds ratio (OR) 2.86, confidence interval (95% CI) 1.30-4.01]. Specific components of MetS, such as elevated triglyceride [OR 2.02, 95% CI 1.14-3.57] and elevated FPG [OR 2.25, 95% CI 1.31-3.88], were also associated with coronary arterial stenosis. Conclusion: Our study concluded that premorbid MetS was significantly associated with coronary arterial stenosis. As for the individual components, elevated triglyceride and elevated FPG were both correlated with coronary arterial stenosis. Early preventive measures would be suggested at this stage of MetS to prevent future cardiovascular events.

Association between weight change and risk of metabolic abnormalities in non-overweight/obese and overweight/obese population: A retrospective cohort study among Chinese adults

OBJECTIVES

To explore the effects of weight change on the risk of metabolic abnormalities in the Chinese population.

METHODS

A total of 1895 metabolically healthy adults aged 21-78 years completed anthropometric and biological measurements at baseline (2012) and at an eight year follow-up (2020). Based on absolute weight change and relative weight change, the participants were split into five classes. A Cox proportional hazards regression model was used to estimate the relative risk (RR) and 95% confidence intervals (95% CI) for the risk of metabolic abnormalities using stable weight as the reference group. Stratified analysis was used to explore this relationship in participants with different baseline body mass index (BMI) levels.

RESULTS

During the follow-up period, 35.41% of the participants retained a stable weight, and 10.71% had metabolic abnormalities. After covariate adjustment, for every kilogram gained over eight years, the risk of developing metabolic abnormalities increased by 22% (RR: 1.094; 95% CI: 1.063-1.127). Compared with stable weight participants, weight gain of 2-4 Kg and weight gain ≥ 4 Kg exhibited significantly higher risks of metabolic abnormalities, with RR of 1.700 (95% CI 1.150-2.513) and 1.981 (95% CI 1.372-2.859), respectively. A weight gain of ≥ 4 Kg had an opposite effect on the overweight/obesity and non-overweight/obesity groups, with an increased risk of metabolic abnormalities only in the non-overweight/obesity group (RR, 2.291; 95% CI, 1.331-3.942). Moreover, weight loss ≥ 4 Kg significantly reduced the risk of metabolic abnormalities only among overweight/obese adults (RR 0.373; 95% CI 0.154-0.906). Similar results were observed in relative body weight change analyses.

CONCLUSIONS

Long-term excessive body weight gain is positively associated with an increased risk of metabolic abnormalities among adults with non-overweight/obesity, whereas long-term body weight loss is a protective factor for metabolic health among adults with overweight/obesity.

Prevalence of metabolic syndrome, its risk factors and associated lifestyles in Myanmar adult people: A community based cross-sectional study

OBJECTIVES

Metabolic syndrome (MetS) is the constellation of cardio-metabolic risk factors, and it can illustrate the coming burden of cardiovascular diseases and diabetes mellitus. Myanmar faces larger pressure from cardio-metabolic diseases and there is no existing data to understand the magnitude of MetS in adult population. This study aimed to investigate the extent of existing people with MetS in the community and to know the related lifestyle factors to MetS.

METHODS

A community based cross-sectional study was performed in convenient sample of 302 Myanmar adult people. Prevalence of MetS and associated risk factors were identified by collecting sociodemographic information, anthropometric measurements, and blood investigation of glucose and lipid profiles. Logistic regression analysis was performed for developing statistical models to estimate the odd ratios (OR) and confidence intervals (CI).

RESULTS

Prevalence of MetS is 29.1%, and there is no significant difference between male and female prevalence. Abdominal obesity is the highest component of MetS (OR: 28.37, CI: 12.41-64.85, p < 0.001) especially for female (OR: 44.52, CI: 17.19-115.31, p < 0.001), and hypertriglyceridemia (OR: 11.05, CI: 6.20-19.66, p < 0.001) is the commonest in male. Age is the constant risk for developing MetS (OR: 4.06, CI: 1.91-8.64, p < 0.001) whereas the practice of midday nap is the behavior related to increased occurrence of MetS (OR: 1.97, CI: 1.16-3.38, p < 0.05). Dietary pattern, smoking status, drinking alcoholic beverages and physical activity involvement do not impact on the development of MetS. Education, occupation, income and other sociodemographic factors do not produce significant effect on cardio-metabolic status. Obesity, diabetes, and hypertensive conditions of community residents are also explored.

CONCLUSIONS

Modifiable pathophysiological conditions such as abdominal obesity, and obesity play a vital role in preventing MetS before it occurs while unmodifiable risk factor such as getting older and female sex are not as much important as changeable lifestyle habits.

Feasibility of identifying and describing the burden of early-onset metabolic syndrome in primary care electronic medical record data: a cross-sectional analysis

BACKGROUND

The prevalence of metabolic syndrome is growing worldwide, yet remains underinvestigated in Canadian young adults. We sought to explore the use of a harmonized case definition specific to early-onset metabolic syndrome and determine its feasibility in assessing the prevalence of metabolic syndrome among electronic medical record (EMR) data of young adults in Northern Alberta.

METHODS

We conducted a cross-sectional study using a sample of EMR data from young adult patients aged 18-40 years and residing in Northern Alberta, who had an encounter with a participating primary care clinic between June 29, 2015, and June 29, 2018. Physical examination, laboratory investigation and disease diagnosis data were collected. A case definition and algorithm were developed to assess the feasibility of identifying metabolic syndrome, including measures for body mass index (BMI), blood pressure (BP), dysglycemia, hypertriglyceridemia, high-density lipoprotein cholesterol, diabetes and hypertension.

RESULTS

Among 15 766 young adults, the case definition suggested the prevalence of metabolic syndrome was 4.4%, 95% confidence interval (CI) 4.1%-4.7%. The most frequent 3-factor combination (41.6%, 95% CI 37.9%-45.3%) of metabolic syndrome criteria consisted of being overweight or obese, having elevated BP and hypertriglyceridemia. Half of metabolic syndrome cases (51.3%, 95% CI 47.6%-55.0%) were missing measures for fasting blood glucose, and one-fifth were missing a hemoglobin A_1c (HbA_1c) level. Notably, most young adults with a BMI of 25 or greater were missing HbA_1c (68.7%, 95% CI 67.6%-69.8%), fasting blood glucose (84.0%, 95% CI 83.2%-84.8%) and triglyceride testing (79.0%, 95% CI 78.1%-79.9%).

INTERPRETATION

We have shown that our case definition is feasible in identifying early-onset metabolic syndrome using EMR data; however, the degree of missing data limits the feasibility in assessing prevalence. Further investigation is required to validate this case definition for metabolic syndrome in the EMR data, which may involve comparing this definition to other validated metabolic syndrome case definitions.

Impact of Metabolic Syndrome Components in High-Risk Cardiovascular Disease Development in Older Adults

OBJECTIVE

Analyze the influence between the components of metabolic syndrome and the independent risk for cardiovascular disease (CVD) in the elderly.

METHODS

A descriptive cross-sectional study was carried out with 205 older adults from a primary healthcare unit of the Federal District, Brazil. The cardiovascular risk was determined by the Framingham Risk Score (FRS). The National Cholesterol Evaluation Program for Adult Treatment Panel III 2001 (NCEP-ATP III) criteria were considered to analyze metabolic syndrome (MS) diagnoses.

RESULTS

There was a strong association between MS and high cardiovascular risk (OR = 8.86). The univariate analysis main findings revealed that male gender, diabetes, smoking habit, systolic blood pressure, HDL level, high blood glucose, glycated hemoglobin, and LDL level were associated with high cardiovascular risk. FRS increases significantly with the presence of four or more MS components (by 30%, if 4 components are present, and by 40%, if 5 components) when compared with the presence of three or fewer components (P <0.001). A logistic regression analysis of high-risk predictors was described to reduce the effects of confounding and bias factors.

CONCLUSION

The identification of MS associated with high FRS values represents a cascading of adverse effects on the population's aging process.

The effects of transitions in metabolic health and obesity status on incident cardiovascular disease: Insights from a general Chinese population

Background

Recent studies have investigated the association of transitions in metabolic health and obesity status over time with the risk of cardiovascular disease, focusing on the subgroup demonstrating metabolically healthy obesity. However, these studies have produced inconsistent results. This study evaluates the relation in a general Chinese population.

Methods

We conducted a prospective cohort study in a general population in Northeast China, with examinations of cardiovascular health from 2012–2015 and follow-up for incident cardiovascular disease until 2018. Cox proportional hazards and logistic regression models were used to investigate the association of baseline metabolic health and obesity status and transitions in those statuses with cardiovascular disease risk.

Results

A total of 7472 participants aged ≥35 years who were free of cardiovascular disease at baseline were included in this analysis. Over a median follow-up of 4.66 years, a total of 344 cardiovascular disease events occurred. Among the 3380 participants who were obese at baseline, 37.1% were metabolically healthy. Metabolically healthy obesity was associated with a 48% increased risk of cardiovascular disease (hazard ratio: 1.48; 95% confidence interval: 1.07–2.06) compared with the metabolically healthy non-obese group at baseline. Transition from metabolically healthy obesity to metabolically unhealthy obesity was associated with elevated cardiovascular disease risk with an odds ratio of 1.82 (95% confidence interval: 1.06–3.14) compared with metabolically healthy non-obesity throughout after adjustment. Even maintaining metabolically healthy obesity over time was associated with a higher risk of cardiovascular disease (odds ratio: 1.72; 95% confidence interval: 1.00–2.97).

Conclusions

Weight control and management of existing metabolic disorders should be prioritized in all obese population.

Relationship of visceral adipose tissue with surrogate insulin resistance and liver markers in individuals with metabolic syndrome chronic complications

BACKGROUND

Visceral adipose tissue (VAT) has a hazardous influence on systemic inflammation, insulin resistance and an adverse metabolic profile, which increases the risk of developing non-alcoholic fatty liver disease (NAFLD) and chronic complications of diabetes. In our study we aimed to evaluate the association of VAT and the triglyceride glucose (TyG) as a proxy of insulin resistance surrogated with metabolic and liver risk factors among subjects diagnosed with metabolic syndrome (MetS).

METHODS

A cross-sectional study was performed including 326 participants with MetS (55-75 years) from the PREDIMED-Plus study. Liver-status markers, VAT and TyG were assessed. Participants were stratified by tertiles according to VAT (n = 254) and TyG (n = 326). A receiver operating characteristic curve was used to analyse the efficiency of TyG for VAT.

RESULTS

Subjects with greater visceral fat depots showed worse lipid profile, higher homeostatic model assessment for insulin resistance (HOMA-IR), TyG, alanine transaminase (ALT), fibroblast growth factor-21 (FGF-21), fatty liver index (FLI) and hepatic steatosis index (HSI) compared with participants in the first tertile. The multi-adjusted linear-regression analyses indicated that individuals in the third tertile of TyG (>9.1-10.7) had a positive association with HOMA-IR [β = 3.07 (95% confidence interval (CI) 2.28-3.86; p trend < 0.001)], ALT [β = 7.43 (95% CI 2.23-12.63; p trend = 0.005)], gamma glutamyl transferase (GGT) [β = 14.12 (95% CI 3.64-24.61; p trend = 0.008)], FGF-21 [β = 190.69 (95% CI 93.13-288.25; p trend < 0.001)], FLI [β = 18.65 (95% CI 14.97-22.23; p trend < 0.001)] and HSI [β = 3.46 (95% CI, 2.23-4.68; p trend < 0.001)] versus participants from the first tertile. Interestingly, the TyG showed the largest area under the receiver operating curve (AUC) for women (AUC = 0.713; 95% CI 0.62-0.79) compared with men (AUC = 0.570; 95% CI 0.48-0.66).

CONCLUSIONS

A disrupted VAT enlargement and impairment of TyG are strongly associated with liver status and cardiometabolic risk factors linked with NAFLD in individuals diagnosed with MetS. Moreover, the TyG could be used as a suitable and reliable marker estimator of VAT.