20-Year Trends in Metabolic Syndrome Among Korean Adults From 2001 to 2020

Trends in Prevalence, Treatment, and Relationship of Metabolic Syndrome and Individual Components by Race/Ethnicity, 1999-2018

BACKGROUND

Nationally representative data on recent trends in racial/ethnic differences in metabolic syndrome (MetS) prevalence and treatment are sparse.

OBJECTIVES

The purpose of this study was to examine 20-year trends in the prevalence, treatment, and interrelationships of MetS and its individual components among U.S. adults, overall and by race/ethnicity.

METHODS

We evaluated trends from 1999 to 2018 in 20,397 adults using data from the National Health and Nutrition Examination Survey. Age-standardized prevalence estimates were calculated for MetS, its components, and related prescription drug use. Trends were assessed using weighted linear regression, and racial/ethnic disparities were examined using t-tests.

RESULTS

The mean age was 47.5 (47.4-47.6) years; 51.3% were female; 77.9%, 12.8%, and 9.4% were White, Black, and Hispanic, respectively. MetS prevalence increased significantly from 1999 to 2018 across all groups (P < 0.001). Among MetS components, waist circumference and fasting glucose increased across all groups, while triglycerides increased only among Black individuals. Lipid-lowering medication use increased (P < 0.001), but racial/ethnic disparities persisted. Compared to White individuals, Hispanic individuals had lower antihypertensive and lipid-lowering medication use (P < 0.01). Despite increased prescriptions, <65% of eligible individuals received lipid-lowering therapy, and <35% received antihyperglycemic therapy, highlighting substantial treatment gaps. Racial/ethnic differences in MetS component relationships were observed: blood pressure played a larger role in Black individuals, while fasting glucose was more prominent in Hispanic individuals.

CONCLUSIONS

MetS prevalence has increased over 2 decades. Persistent racial/ethnic disparities exist in antihypertensive, antihyperglycemic, and lipid-lowering medication use. Across all racial/ethnic subgroups, large opportunities remain for improving treatment strategies among individuals with medication indications.

Metabolic diseases in the East Asian populations

East Asian populations, which account for approximately 20% of the global population, have become central to the worldwide rise of metabolic diseases over the past few decades. The prevalence of metabolic disorders, including type 2 diabetes mellitus, hypertension and metabolic dysfunction-associated steatotic liver disease, has escalated sharply, contributing to a substantial burden of complications such as cardiovascular disease, chronic kidney disease, cancer and increased mortality. This concerning trend is primarily driven by a combination of genetic predisposition, unique fat distribution patterns and rapidly changing lifestyle factors, including urbanization and the adoption of Westernized dietary habits. Current advances in genomics, proteomics, metabolomics and microbiome research have provided new insights into the biological mechanisms that might contribute to the heightened susceptibility of East Asian populations to metabolic diseases. This Review synthesizes epidemiological data, risk factors and biomarkers to provide an overview of how metabolic diseases are reshaping public health in East Asia and offers insights into biological and societal drivers to guide effective, region-specific strategies.

Comparison of the prevalence of metabolic syndrome between individuals with spinal cord injury and the general population based on the cutoff values of abdominal obesity

BACKGROUND

Metabolic syndrome (MetS) is a cluster of cardiovascular disease (CVD) risk factors. Accurate diagnosis, in spinal cord injury (SCI) patients, is vital for effective CVD prevention.

OBJECTIVE

This study aimed to identify factors related to MetS prevalence by comparing MetS prevalence trends in SCI and the general population (GP) and to examine differences in MetS prevalence in patients with SCI according to the cutoff reference value for abdominal obesity.

METHODS

This retrospective cohort study analyzed data from the National Health Insurance Corporation from 2015 to 2019. MetS was defined using the National Cholesterol Education Program criteria with an adjusted waist circumference of 81.3 cm for patients with SCI. Data were collected on age, gender, smoking, alcohol consumption, BMI, waist circumference, lipid profiles, blood pressure, fasting glucose, and socioeconomic status. Each year, SCI patients (n = 3,140, n = 3,201, n = 3,503, n = 1,590, n = 1544) were matched with GP individuals (m = 31,400, m = 32,040, m = 35,030, m = 15,900, m = 15,440).

RESULTS

Over 5 years, MetS prevalence increased in both groups, consistently higher in the SCI group. Older age and lower income were risk factors in both groups (p < 0.05). Smoking and alcohol intake were significant only in the GP (p < 0.0001). Using the adjusted obesity criterion, MetS prevalence was 1.4 times higher in SCI patients than in the GP (p < 0.0001).

CONCLUSIONS

Exclusively relying on GP criteria for diagnosing MetS in patients with SCI may lead to an underestimation of MetS prevalence and overlooked opportunities for CVD prevention. Therefore, the development of diagnostic and preventive strategies for MetS considering SCI characteristics is needed.

Associations between metabolic syndrome and cholangiocarcinoma risk: A large-scale population-based cohort study

BACKGROUND AND AIMS

This large-scale, population-based cohort study examined the associations between metabolic syndrome and cholangiocarcinoma risk, including its intrahepatic and extrahepatic forms.

APPROACH AND RESULTS

A total of 4,932,211 adults aged ≥40 years participated in a government-initiated health checkup program (2012-2017), which collected lifestyle data, anthropometric measurements, and biochemical tests. Follow-up continued until 2021, with data linkage to National Cancer and Death Registries to ascertain the occurrence of cholangiocarcinoma and obtain vital status information. Fine and Gray models accounted for competing risks. During 35,879,371 person-years of follow-up, 6117 cholangiocarcinoma cases were identified, with an incidence rate of 17.05 (95% CI: 15.90-18.20) per 100,000 person-years. Individuals with metabolic syndrome had significantly higher incidences of both intrahepatic and extrahepatic cholangiocarcinoma ( p <0.0001). The multivariate-adjusted HR for cholangiocarcinoma among those with metabolic syndrome was 1.20 (1.14-1.27). Stratification analyses by age, sex, liver enzyme levels, and comorbidities consistently demonstrated an increased cholangiocarcinoma risk among individuals with metabolic syndrome. A dose-response relationship was observed, with a higher number of metabolic components correlating with an elevated cholangiocarcinoma risk, even after accounting for all-cause mortality as a competing risk. The adjusted subdistribution HRs ranged from 1.16 (95% CI: 1.02-1.32) for individuals with one metabolic component to 1.67 (95% CI: 1.45-1.94) for those with five ( p for trend <0.0001).

CONCLUSIONS

The positive association between metabolic syndrome and cholangiocarcinoma risk suggests that managing metabolic risk factors might reduce the occurrence of both intrahepatic and extrahepatic cholangiocarcinoma.

The Potential Effect of Periodontal Disease on the Development of Metabolic Syndrome: A 10-Year Observational Study in a Thai Adult Cohort

AIM

As data are sparse on the long-term association between periodontal diseases and development of metabolic syndrome (MetS), we investigated their relationship in a Thai cohort over a 10-year observational period.

METHODS

Medical records and data on periodontal assessments of 2161 employees of the Electricity Generating Authority of Thailand collected at two time points, 2003 and 2013, were used. Experienced periodontists used standard national and international criteria to define periodontitis and MetS. The impact of baseline periodontitis on subsequent MetS incidence and its components was evaluated using regression analyses.

RESULTS

The severity and extent of periodontitis significantly predicted MetS incidence over a decade, with a higher incidence of MetS in individuals with poorer periodontal health. A single percentage increase in the periodontitis extent raised the risk of MetS incidence by 0.4% and the risk of developing individual components of MetS by 0.2%. Independent of periodontal health, age of an individual emerged as a factor impacting MetS development.

CONCLUSION

This study highlights the potential effect of the severity and extent of periodontitis on the increased incidence and progression of MetS. Hyperglycaemia and hypertension were the two MetS components most significantly affected by the existence of periodontitis.

Predictive Diagnostic Power of Anthropometric Indicators for Metabolic Syndrome: A Comparative Study in Korean Adults

Background/Objectives: Metabolic syndrome (MetS) is a cluster of risk factors that significantly increase the risk of cardiovascular disease, including type 2 diabetes, etc. Assessing the predictive diagnostic power of anthropometric indicators for MetS is crucial for the early identification and prevention of related health issues. This study focuses on the Korean adult population while providing insights that may be applicable to broader global contexts. Therefore, this study aimed to compare the predictive diagnostic capabilities of various anthropometric indicators, including body mass index (BMI), waist-to-height ratio (WHtR), muscle mass-to-fat mass ratio (MFR), muscle mass-to-waist ratio (MWR), and body shape index (ABSI), in relation to MetS in Korean adults. Methods: Data from 13,725 participants of the Korea National Health and Nutrition Examination Survey (2008-2011) were analyzed. The diagnostic power of each indicator was assessed using the receiver operating characteristic (ROC) curve analysis, and the area under the curve (AUC) values were compared. Participants were classified into normal (NG) and abnormal (AG) groups based on established cutoff values, and logistic regression analysis was performed to evaluate the odds of MetS in each group. Results: WHtR showed the highest AUC values (0.792 for men and 0.768 for women), indicating superior diagnostic accuracy compared to the other indicators (p < 0.001). Logistic regression analysis indicated that both the unadjusted and adjusted odds ratios (OR) for MetS were significantly higher in the AG than in the NG across all indicators (p < 0.001). Specifically, the adjusted OR (95% confidence interval) for WHtR in the AG was 6.793 (5.929-7.784) for men and 4.665 (4.151-5.423) for women, representing the highest values among all indicators (p < 0.001). Conclusion: Among the various anthropometric indicators, WHtR is the most reliable and practical for predicting MetS in Korean adults. It is useful for early intervention and prevention in both clinical and public health settings.

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.

Metabolic syndrome

The metabolic syndrome (MetS) is a multiplex modifiable risk factor for cardiovascular disease, type 2 diabetes mellitus and other health outcomes, and is a major challenge to clinical practice and public health. The rising global prevalence of MetS, driven by urbanization, sedentary lifestyles and dietary changes, underlines the urgency of addressing this syndrome. We explore the complex underlying mechanisms, including genetic predisposition, insulin resistance, accumulation of dysfunctional adipose tissue and ectopic lipids in abdominal obesity, systemic inflammation and dyslipidaemia, and how they contribute to the clinical manifestations of MetS. Diagnostic approaches vary but commonly focus on abdominal obesity (assessed using waist circumference), hyperglycaemia, dyslipidaemia and hypertension, highlighting the need for population-specific and phenotype-specific diagnostic strategies. Management of MetS prioritizes lifestyle modifications, such as healthy dietary patterns, physical activity and management of excess visceral and ectopic adiposity, as foundational interventions. We also discuss emerging therapies, including new pharmacological treatments and surgical options, providing a forward-looking perspective on MetS research and care. This Primer aims to inform clinicians, researchers and policymakers about MetS complexities, advocating for a cohesive, patient-centred management and prevention strategy. Emphasizing the multifactorial nature of MetS, this Primer calls for integrated public health efforts, personalized care and innovative research to address this escalating health issue.

Prediction of metabolic syndrome using machine learning approaches based on genetic and nutritional factors: a 14-year prospective-based cohort study

INTRODUCTION

Metabolic syndrome is a chronic disease associated with multiple comorbidities. Over the last few years, machine learning techniques have been used to predict metabolic syndrome. However, studies incorporating demographic, clinical, laboratory, dietary, and genetic factors to predict the incidence of metabolic syndrome in Koreans are limited. In the present study, we propose a genome-wide polygenic risk score for the prediction of metabolic syndrome, along with other factors, to improve the prediction accuracy of metabolic syndrome.

METHODS

We developed 7 machine learning-based models and used Cox multivariable regression, deep neural network (DNN), support vector machine (SVM), stochastic gradient descent (SGD), random forest (RAF), Naïve Bayes (NBA) classifier, and AdaBoost (ADB) to predict the incidence of metabolic syndrome at year 14 using the dataset from the Korean Genome and Epidemiology Study (KoGES) Ansan and Ansung.

RESULTS

Of the 5440 patients, 2,120 were considered to have new-onset metabolic syndrome. The AUC values of model, which included sex, age, alcohol intake, energy intake, marital status, education status, income status, smoking status, dried laver intake, and genome-wide polygenic risk score (gPRS) Z-score based on 344,447 SNPs (p-value < 1.0), were the highest for RAF (0.994 [95% CI 0.985, 1.000]) and ADB (0.994 [95% CI 0.986, 1.000]).

CONCLUSIONS

Incorporating both gPRS and demographic, clinical, laboratory, and seaweed data led to enhanced metabolic syndrome risk prediction by capturing the distinct etiologies of metabolic syndrome development. The RAF- and ADB-based models predicted metabolic syndrome more accurately than the NBA-based model for the Korean population.

The role of glucagon-like peptide-1 receptor agonists (GLP1-RAs) in the management of the hypertensive patient with metabolic syndrome: a position paper from the Korean society of hypertension

Obesity is the one of the most important components of metabolic syndrome. Because obesity related hypertension accounts for two thirds of essential hypertension, managing obesity and metabolic syndrome is a crucial task in the management of hypertension. However, the current non-pharmacological therapies have limitations for achieving or maintaining ideal body weight. Recently, glucagon-like peptide-1 receptor agonists (GLP1-RAs) have demonstrated excellent weight control effects, accompanied by corresponding reductions in blood pressure. GLP1-RAs have shown cardiovascular and renal protective effects in cardiovascular outcome trials both in primary and secondary prevention. In this document, the Korean Society of Hypertension intends to remark the current clinical results of GLP1-RAs and recommend the government and health-policy makers to define obesity as a disease and to establish forward-looking policies for GLP1-RA treatment for obesity treatment, including active reimbursement policies.

Combined effects of smoking and alcohol consumption on the risk of liver cancer according to metabolic syndrome: A nested case-control study in South Korea

Tobacco and alcohol may interact to increase the risk of liver cancer, which might be modified by other risk factors. Their combined effects in the context of metabolic syndrome (MetS) remain unclear. Given the increasing prevalence of MetS, this nested case-control study was conducted to evaluate the combined effects of smoking and alcohol consumption on liver cancer risk with stratification by MetS. We included 15,352 liver cancer patients and 92,112 matched controls who attended the nationwide general health examination during 2009-2019, using a customized database (N = 5,545,835) from the Korean National Health Insurance Service. Liver cancer risk according to smoking and alcohol consumption was estimated using conditional multivariable logistic regression. Additive and multiplicative interactions between these two factors were assessed. Results showed that in men, dual current users were at a significantly higher risk of liver cancer compared with dual nonusers, adjusted odds ratio (aOR) = 1.61, 95% confidence interval: (1.50, 1.72). Interactions were detected between light-to-moderate alcohol consumption (0.1-28 g/day) and heavy smoking (>20 pack-years) on additive scale, relative excess risk due to interaction = 0.34 (0.16, 0.51), attributable proportion = 0.22 (0.11, 0.33), synergy index = 2.75 (1.85, 3.66), and multiplicative scale, aOR for the product term = 1.28 (1.11, 1.49). An additive interaction was also revealed between light-to-moderate drinking and light-to-moderate smoking in the MetS subgroup. In women, light-to-moderate drinking/nonsmoking was negatively associated with the risk in the non-MetS subgroup. In conclusion, a holistic health promotion program should target male dual users of tobacco cigarettes and alcohol, including light-to-moderate users, especially those with MetS.

How do we make progress in phenotyping patients with LUT such as OAB and underactive detrusor, including using urine markers and microbiome data, in order to personalize therapy? ICI-RS 2023: Part 1

INTRODUCTION

Overactive bladder (OAB) and Underactive bladder (UAB) could be associated with metabolic syndrome, affective disorders, sex hormone deficiency, changes in urinary microbiota, functional gastrointestinal disorders, or autonomic nervous system dysfunction.

OBJECTIVES

The aim of this Think Tank was to provide a guide on how to investigate OAB and/or detrusor underactivity (DU) patients to better clarify the underlying pathophysiology and possibly personalize the treatment.

METHODS

A compendium of discussion based on the current evidence related to phenotyping patients with OAB or DU investigating metabolic, neurogical, psychological and gastrointestinal aspects with the aim to personalize the treatment.

RESULTS AND CONCLUSIONS

The article emphasizes the critical significance of adopting a comprehensive yet tailored approach to phenotyping patients with lower urinary tract symptoms, such as OAB and UAB. The intricate interplay between the lower urinary tract and various factors, metabolic, neurological, psychological, and gastrointestinal can define unique LUT profiles, enabling personalized therapies to replace the one-size-fits-all approach.

Longitudinal economic burden of incident complications among metabolic syndrome populations

BACKGROUND

This study quantifies the longitudinal economic burden for a wide spectrum of incident complications, metabolic syndrome (MS)-related risk factors, and comorbidities in patients with MS.

METHODS

This retrospective study utilized linked data from the 2013 National Health Interview Survey and the 2012-2021 National Health Insurance Research Database to identify MS individuals and their characteristics. The incidence rate of each complication was calculated as the number of complication events in the study period divided by the total person-years during follow-up. The healthcare costs of complications were analyzed using a generalized estimating equation model to determine the cost impact of complications after adjustment for patients' characteristics. Sensitivity analyses on variables with high missing rates (i.e., cause of death, body mass index) were performed.

RESULTS

Among 837 identified MS individuals over 8.28 (± 1.35) years of follow-up, the most frequent complications were microvascular diseases (incidence rate for nephropathy/retinopathy/neuropathy: 6.49/2.64/2.08 events per 100 person-years), followed by cardiovascular diseases (2.47), peripheral vascular diseases (2.01), and cancers (1.53). Death was the costliest event (event-year cost per person: USD 16,429) and cancers were the most expensive complications (USD 9,127-11,083 for non-MS- and MS-related cancers). Developing non-MS/MS-related cancers, cardiovascular diseases, and obesity-related medical conditions increased annual costs by 273% (95% CI: 181-397%)/175% (105-269%), 159% (118-207%), and 140% (84-214%), respectively. Microvascular diseases had the lowest cost impact on annual costs (i.e., 27% [17-39%]/27% [11-46%]/24% [11-37%] increases for nephropathy/neuropathy/retinopathy, respectively). Having existing comorbidities increased annual costs by 20% (osteoarthritis) to 108% (depression). Having morbid obesity (i.e., body mass index ≥ 35 kg/m2) increased annual costs by 58% (30-91%).

CONCLUSIONS

The economic burden from costly incident complications (i.e., cardiovascular diseases, peripheral vascular diseases, cancers), MS-related risk factors (i.e., morbid obesity), and comorbidities (i.e., depression) highlight the urgent need for early intervention to prevent MS and its progression. The comprehensive cost estimates reported in this study can facilitate the parameterization of economic analyses to identify cost-effective interventions for these patients.

Prevalence of Metabolic Syndrome Based on Activity Type and Dietary Habits in Extremely Low-Income Individuals

A high prevalence of metabolic syndrome (MS) and cardiovascular disease among low-income individuals has often been reported. However, there is still a lack of research on the relationship between basic livelihood security (BLS) and MS. This study investigated the prevalence of MS according to activity type, dietary habits, and the nutrient intake characteristics of individuals receiving BLS. Data from 14,803 men and 20,299 women were analyzed to assess the association between receiving BLS and MS. The associations between MS and various factors were analyzed separately in men and women by logistic regression analysis. In this cohort, 5.9% of men and 6.8% of women received BLS; of these, 46.9% and 47.7% had MS, respectively. High caloric intake, low-frequency breakfast consumption, and no nutritional education were associated with MS in both men and women. Among those with a low-frequency walking habit and strength training activity type, MS increased by 1.58 and 1.57 times in men and by 1.47 and 2.16 times in women, respectively. Men who were sedentary for 8 h or more had an increased risk of MS, but there was no association between these in women. BLS nutritional intake characteristics were high in carbohydrates and fat and low in dietary fiber and vitamin C (p < 0.05). In conclusion, establishing a healthy eating pattern through nutritional education and increasing walking and strength training may reduce the risk of MS.

Secular trends in dietary energy, carbohydrate, fat, and protein intake among Korean adults, 2010-2020 KHANES

OBJECTIVES

The composition and balance of macronutrient intake play key roles in promoting a longer lifespan. In this study, we aimed to investigate the secular trends in carbohydrate, fat, and protein intakes in South Koreans from 2010 to 2020.

METHODS

We examined the dietary nutritional intake of South Koreans using data from the Korean National Health and Nutrition Examination Survey. A total of 60,190 adults aged ≥19 y who completed the 24-h dietary recall interviews in a single day on all survey periods were included in this study. The outcomes included changes in macronutrient intake according to subgroups, such as age; sex; and the presence of diabetes, dyslipidemia, stroke, or heart disease, as well as energy intake from macronutrients.

RESULTS

The study population showed a significant decrease in total energy intake from 2010 to 2020, with a corresponding decrease in the percentage of energy intake from carbohydrates (p-values for trend < 0.001). Conversely, the proportions of energy intake from proteins and fats increased during the same period (p < 0.001). Subgroup analyses revealed variations in macronutrient intake trends according to age, sex, obesity status, and underlying diseases. The analysis of trends in energy intake from various fat subtypes, total sugar, and fiber revealed a decrease in the energy intake percentage of total sugar from 2016 to 2020 and an increase in the energy intake percentage of all fat subtypes and fiber from 2013 to 2020.

CONCLUSIONS

In the past 10 y, the dietary patterns in Korea have shifted toward the consumption of high-fat and high-protein diets with reduced carbohydrate intake.

Lifestyle Factors Influencing Metabolic Syndrome after Adjusting for Socioeconomic Status and Female Reproductive Health Indicators: A National Representative Survey in Korean Pre- and Postmenopausal Women

Metabolic syndrome (MetS) is increasing markedly among postmenopausal women. Although studies suggest multiple risk factors for its development, few have investigated changes in socioeconomic status (SES), female reproductive health indicators (menarche age, experience of pregnancy, delivery, breastfeeding, and postmenopausal status), and lifestyle factors. This study investigated lifestyle factors affecting MetS prevalence among pre- and post-menopausal women after adjusting for SES and female reproductive health indicators. Data from the Korea National Health and Nutrition Examination Survey VII (2016-2018) on 2856 pre- and postmenopausal women aged 40-59 years were analyzed. Differences in SES (e.g., age, education, and household income), female reproductive health indicators (e.g., age of menarche and menopause), and lifestyle (e.g., total calorie intake, fats, and proteins, percentage of energy from carbohydrates, fats, and proteins, smoking, physical activity, and obesity) between MetS and non-MetS groups were calculated by performing χ2 or t-tests. Consequently, current smoking, physical inactivity, overweight, and obesity were significantly associated with increased MetS after adjusting for SES and female reproductive health indicators using logistic regression analysis. Hence, health policies and programs focusing on modifiable MetS risk factors-encouraging healthy eating habits, smoking cessation, and regular exercise-must be formulated to prevent the development of MetS in pre- and postmenopausal women.

Metabolic syndrome awareness in the general Korean population: results from a nationwide survey

BACKGROUND/AIMS

Metabolic syndrome (MetS) raises the risk of cardiovascular disease and type 2 diabetes. An awareness of MetS is vital for early detection and proactive management, which can mitigate the risks associated with MetS. Therefore, our study aimed to investigate the level of awareness of MetS among the Korean population.

METHODS

We conducted a nationwide survey between January and February 2023 among a representative sample of the Korean population using an online survey. Information regarding the awareness of MetS and its risk, the importance of lifestyle modification, and health behavior were collected. The question about the awareness of MetS was "How much do you think you know about MetS?" and there were five answers: 1) I know very well, 2) I know well, 3) I know a little, 4) I do not know, and 5) I have no idea. The high-awareness group was defined as those who answered that they knew very well or well.

RESULTS

Among 1,000 participants (mean age, 45.7 ± 13.2 yr), 29% were unaware of MetS, and only 20.8% had high awareness. The high-awareness group was significantly more knowledgeable about lifestyle modifications and demonstrated better health behaviors. After adjustment for possible confounding factors, younger age, low household income, and absence of comorbidity were independently associated with a lack of awareness regarding MetS.

CONCLUSION

The high-awareness group showed greater knowledge of the importance of lifestyle modifications and better health behaviors regarding MetS. The findings highlight the need for improved public education and awareness programs regarding MetS.

Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study

(1) Introduction: given the high prevalence of metabolic syndrome (MetS) in Saudi Arabia, especially in Jeddah, this study aims to understand the dietary and lifestyle-related risk factors among Jeddah's non-diabetic adults. (2) Material and Methods: Employing a cross-sectional design, non-diabetic adults were sourced from public healthcare centers. Demographics, lifestyle, and dietary habits were surveyed. Blood pressure, anthropometrics, and fasting blood samples measuring plasma glucose, serum triglycerides, and HDL cholesterol were collected. The age cut-off for MetS was ascertained using the receiver operating characteristic curve. Variables influencing MetS were evaluated using univariate logistic regression, and consequential factors underwent multivariate analysis, adjusted for age and sex. (3) Results: Among 1339 participants, 16% had MetS, with age being the strongest predictor (p < 0.001). The optimal age cut-off was 32 years. For those <32, elevated BP in men and waist circumference (WC) in women were most prevalent. For those >32, elevated WC was dominant in both sexes. Univariate logistic regression revealed that higher income and education correlated with lower MetS prevalence, while marriage and smoking were risk factors. Adjusting for age and sex, only very high income had a significant low-risk association (p = 0.034). (4) Conclusion: MetS is notable in the studied group, with age as the pivotal predictor. High income reduces MetS risk, while marital status and smoking could increase it. Since this was a cross-sectional study, cohort studies are needed to validate our findings.