The impact of socioeconomic status on the incidence of metabolic syndrome in a Taiwanese health screening population

Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status

OBJECTIVES

To determine whether occupation type, distinguished by socioeconomic status (SES) and sedentary status, is associated with metabolic syndrome (MetS) risk.

METHODS

We analysed two data sets covering 73 506 individuals. MetS was identified according to the criteria of the modified Adult Treatment Panel III. Eight occupational categories were considered: professionals, technical workers, managers, salespeople, service staff, administrative staff, manual labourers and taxi drivers; occupations were grouped into non-sedentary; sedentary, high-SES; and sedentary, non-high-SES occupations. A multiple logistic regression was used to determine significant risk factors for MetS in three age-stratified subgroups. R software for Windows (V.3.5.1) was used for all statistical analyses.

RESULTS

MetS prevalence increased with age. Among participants aged ≤40 years, where MetS prevalence was low at 6.23%, having a non-sedentary occupation reduced MetS risk (OR=0.88, p<0.0295). Among participants aged >60 years, having a sedentary, high-SES occupation significantly increased (OR=1.39, p<0.0247) MetS risk.

CONCLUSIONS

The influence of occupation type on MetS risk differs among age groups. Non-sedentary occupations and sedentary, high-SES occupations decrease and increase MetS risk, respectively, among younger and older adults, respectively. Authorities should focus on individuals in sedentary, high-SES occupations.

Machine Learning to Predict the Progression of Bone Mass Loss Associated with Personal Characteristics and a Metabolic Syndrome Scoring Index

A relationship exists between metabolic syndrome (MetS) and human bone health; however, whether the combination of demographic, lifestyle, and socioeconomic factors that are associated with MetS development also simultaneously affects bone density remains unclear. Using a machine learning approach, the current study aimed to estimate the usefulness of predicting bone mass loss using these potentially related factors. The present study included a sample of 23,497 adults who routinely visited a health screening center at a large health center at least once during each of three 3-year stages (i.e., 2006–2008, 2009–2011, and 2012–2014). The demographic, socioeconomic, lifestyle characteristics, body mass index (BMI), and MetS scoring index recorded during the first 3-year stage were used to predict the subsequent occurrence of osteopenia using a non-concurrence design. A concurrent prediction was also performed using the features recorded from the same 3-year stage as the predicted outcome. Machine learning algorithms, including logistic regression (LR), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost), were applied to build predictive models using a unique feature set. The area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, precision, and F1 score were used to evaluate the predictive performances of the models. The XGBoost model presented the best predictive performance among the non-concurrence models. This study suggests that the ensemble learning model with a MetS severity score can be used to predict the progression of osteopenia. The inclusion of an individual’s features into a predictive model over time is suggested for future studies.

The Utility of Artificial Neural Networks for the Non-Invasive Prediction of Metabolic Syndrome Based on Personal Characteristics

This study investigated the diagnostic accuracy of using an artificial neural network (ANN) for the prediction of metabolic syndrome (MetS) based on socioeconomic status and lifestyle factors. The data of 27,415 subjects who went through examinations and answered questionnaires during three stages from 2006 to 2014 at a health institute in Taiwan were collected and analyzed. The repeated measurements over time were set as predictive factors and used to train and test an ANN for MetS prediction. Among the subjects, 18.3%, 24.6%, and 30.1% were diagnosed with MetS during the respective three stages. ANN analysis applied with an over-sampling technique performed with an area under the curve (AUC) of up to 0.93 based on different models. The over-sampling technique helped improve prediction performance in terms of sensitivity and F₂ measures. The results indicated that waist circumference, socioeconomic status (SES), and lifestyle factors can be utilized in a non-invasive screening tool to assist health workers in making primary care decisions when MetS is suspected. By predicting the occurrence of MetS, individuals or healthcare professionals can then develop preventive strategies in time, thus enhancing the effectiveness of health promotion.

An Application of Metabolic Syndrome Severity Scores in the Lifestyle Risk Assessment of Taiwanese Adults

A metabolic syndrome (MS) diagnosis was made when the criteria for three or more of five MS components were met. Due to some limitations in the traditional MS criteria, however, different health care societies have sought to develop applicable MS scoring systems instead. Continuous MS scores can be of meaningful value in the prevention, diagnosis, and treatment of MS at different life stages. Relatedly, this study used a database for 27,748 subjects aged 20 to 64 years who received health checks at a health screening institution in Taiwan from 2010 to 2015 to a similar end. Five components of MS (waist circumference, fasting plasma glucose, blood pressure, fasting triglycerides, and high-density lipoprotein) were used to formulate an MS severity score in different gender and age stratums, which was then used to evaluate the risks of various lifestyle habits. Those estimates were then compared with the results for traditional MS diagnosis. The MS severity scores for some behaviors relating to smoking, drinking, physical activity, and sweetened beverage consumption were found to have changed from 0.03 to 0.2; however, a logistic regression analysis with dichotomous diagnosis did not indicate significant links between these behaviors and MS. The models established by the MS severity scores can identify the risk factors for MS in a more sensitive manner than the traditional MS diagnosis can, especially with respect to specific lifestyle habits. MS severity score can serve as an indicator to explore the potential risk factors for subclinical conditions in the early stages of MS.

Elucidating the Multidimensionality of Socioeconomic Status in Relation to Metabolic Syndrome in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

BACKGROUND

Socioeconomic (SES) factors underlying disparities in the prevalence of metabolic syndrome (MetSyn) and consequently, type 2 diabetes among Hispanics/Latino populations are of considerable clinical and public health interest. However, incomplete and/or imprecise measurement of the multidimensional SES construct has impeded a full understanding of how SES contributes to disparities in metabolic disease. Consequently, a latent-variable model of the SES-MetSyn association was investigated and compared with the more typical proxy-variable model.

METHODS

A community-based cross-sectional probability sample (2008-2011) of 14,029 Hispanic/Latino individuals of Puerto Rican, Cuban, Dominican, Central American, South American, and Mexican ancestry living in the USA was used. SES proxy's education, income, and employment were examined as effect indicators of a latent variable, and as individual predictors. MetSyn was defined using 2009 harmonized guidelines, and MetSyn components were also examined individually.

RESULTS

In multivariate regression analyses, the SES latent variable was associated with 9% decreased odds of MetSyn (95% confidence interval: 0.85, 0.96, P < .001) and was associated with all MetSyn components, except diastolic blood pressure. Additionally, greater income, education, and employment status were associated with 4%, 3%, and 24% decreased odds of having MetSyn, respectively (Ps < .001). The income-MetSyn association was only significant for women and those with current health insurance.

CONCLUSIONS

Hispanic/Latinos exhibit an inverse association between SES and MetSyn of varying magnitudes across SES variables. Public health research is needed to further probe these relationships, particularly among Hispanic/Latina women, to ultimately improve healthcare access to prevent diabetes in this underserved population.

Prevalence of Metabolic Syndrome in Overweight and Obese Patients and Their Measurement of Neck Circumference: A Cross-sectional Study

Background The utilization of neck circumference (NC) as a valuable tool to evaluate metabolic syndrome (MetS) is still unclear. MetS has been extensively reported worldwide mainly due to the increasing trend of central obesity and the risk of developing coronary artery disease. In Pakistan, its incidence is reported to be between 18% and 49% among the urban population. Methods This cross-sectional study was conducted at the Indus Hospital, Karachi, Pakistan; in total, 392 patients (body mass index [BMI] >23 kg/m², age ≥18 years, both genders) were recruited through consecutive sampling, and informed consent was obtained. Results The majority of patients were females (n = 344, 87.8%), and the mean ± SD of age and NC of all patients was 50.5 ± 9.6 years and 38 ± 4.6 cm, respectively. The majority (n = 375, 95.7%) of patients were found to have MetS, with 90% of both males and females having NC ≥38 cm and 34 cm, respectively. Conclusion The prevalence of MetS was found to be very high in overweight and obese patients. Moreover, the majority of patients with MetS were found to have higher NC.

Socio-economics status and metabolic syndrome: A meta-analysis

OBJECTIVE

The metabolic syndrome (MetS) is responsible for an increased risk of type 2 diabetes, cardiovascular diseases and is associated with all-cause and cardiovascular mortality. Economic and social vulnerability is not an easy concept to grasp, but some studies investigate the association between MetS and socioeconomic and demographic factors, deprivation (more often correlations rather than causal one due to data). This work aims to assess the association between MetS and socio-economic gradient (SEG) in the literature by performing a meta-analysis.

DESIGN

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement for systematic reviews were followed.

SETTING

The raw list of studies extracted from PubMed as regard to the inclusion/exclusion criteria was imported in Word. Studies were filed with regard to our three definitions of SEG and their title.

PARTICIPANTS

Subgroup analysis were performed considering several definitions of Mets: NCEP-ATPIII and IDF2006.

RESULTS

The overall multivariable-adjusted OR showed that the risk of MetS was significantly increased in association with SEG The results of the subgroup analysis showed an increased risk of MetS in association with SEG when IDF definition was considered.

CONCLUSIONS

Targeted interventions must be implemented in a specific way as prevention campaigns aimed at the general population are generally not adapted to this particular vulnerable population.

A Data-Driven Assessment of the Metabolic Syndrome Criteria for Adult Health Management in Taiwan

According to the modified Adult Treatment Panel III, five indices are used to define metabolic syndrome (MetS): waist circumference (WC), high blood pressure, fasting glucose, triglycerides (TG), and high-density lipoprotein cholesterol. Our work evaluates the importance of these indices. In addition, we attempted to identify whether trends and patterns existed among young, middle-aged, and older people. Following the analysis, a decision tree algorithm was used to analyze the importance of the five criteria for MetS because the algorithm in question selects the attribute with the highest information gain as the split node. The most important indices are located on the top of the tree, indicating that these indices can effectively distinguish data in a binary tree and the importance of this criterion. That is, the decision tree algorithm specifies the priority of the influence factors. The decision tree algorithm examined four of the five indices because one was excluded. Moreover, the tree structures differed among the three age groups. For example, the first key index for middle-aged and older people was TG whereas for younger people it was WC. Furthermore, the order of the second to fourth indices differed among the groups. Because the key index was identified for each age group, researchers and practitioners could provide different health care strategies for individuals based on age. High-risk middle-aged and healthy older people maintained low values of TG, which might be the most crucial index. When a person can avoid the first and second indices provided by the decision tree, they are at lower risk of MetS. Therefore, this paper provides a data-driven guideline for MetS prevention.

Life Course Effects of Socioeconomic and Lifestyle Factors on Metabolic Syndrome and 10-Year Risk of Cardiovascular Disease: A Longitudinal Study in Taiwan Adults

The objective of the study was to explore the dynamic effects of socioeconomic status (SES) and lifestyle behaviors on the risks of metabolic syndrome (MS) or cardiovascular disease (CVD) in life course. The data of 12,825 subjects (6616 males and 6209 females) who underwent repeated examinations and answered repeated questionnaires from 2006 to 2014 at the Major Health Screening Center in Taiwan, was collected and analyzed. The trajectory of trends in the subjects’ SES and lifestyle mobility over time was observed, and the effects of factors with potential impacts on health were tested and analyzed using multiple logistic regression and a generalized estimated equation model. A 10% increase in MS prevalence was observed over the nine-year period. The average Framingham CVD score for people with MS was estimated to be about 1.4% (SD = 1.5%). Except for middle-aged women, marriage was found to raise the risk of CVD, whereas increasing education and work promotions independently reduced CVD risk for the majority of subjects. However, the risk of CVD was raised by half for young men who had a job or lost a job in comparison to continuously unemployed young men. Physical activity was only found to be advantageous for disease prevention in those aged less than 40 years; increased exercise levels were useless for reducing CVD risk among older men. Alcohol drinking and betel chewing caused increased CVD risk in the old and young subjects, respectively, whereas vegetarian diets and vitamin C/E intake were helpful in preventing CVD, even if those habits were ceased in later life. For middle-aged women, getting sufficient sleep reduced CVD risk. We concluded that SES and lifestyle behaviors may have different effects on health over time, among various populations. Accordingly, suggestions can be provided to healthcare workers in designing health promotion courses for people at different life stages.

Association of erythrocyte parameters with metabolic syndrome in the Pearl River Delta region of China: a cross sectional study

OBJECTIVE

Increasing studies have reported that erythrocyte parameters, including red blood cells (RBCs), haematocrit (HCT), haemoglobin (Hb) and red blood cell distribution width (RDW), are associated with metabolic syndrome (MetS) in adults worldwide. However, the association, stratified by sex, remains to be elucidated, particularly in the Pearl River Delta region of China. Therefore, our aim was to explore the association of erythrocyte parameters with MetS, stratified by sex, in the Pearl River Delta region of China.

METHODS

In this cross sectional study, 2161 men and 2511 women were enrolled. MetS was diagnosed using a modified version of the Adult Treatment Panel III criteria. Logistic regression analyses were performed to calculate adjusted ORs of erythrocyte parameters associated with MetS stratified by sex.

RESULTS

The prevalence of MetS was higher in women than in men (35.2%vs26.7%). RBC, HCT, Hb and RDW values increased linearly with the number of MetS components from 0 to 5 identified in both men and women. Among men, the ORs of MetS risk increased across the tertiles of Hb (Q2: OR=1.921, 95% CI=1.170 to 3.151; Q3: OR=1.992, 95%CI=1.198 to 3.312). Men in the highest tertiles of RDW had a 2.752-fold increased risk of suffering from MetS compared with those in the reference group. Among women, the ORs of MetS risk also increased across the tertiles of Hb (Q2: OR=1.538, 95%CI=1.008 to 2.348; Q3: OR=1.665, 95%CI=1.075 to 2.578). Women in the highest tertiles of RBC had a 1.718-fold increased risk of experiencing MetS compared with those in the reference group.

CONCLUSIONS

MetS was more prevalent in women than in men. The association between erythrocyte parameters and MetS differed between the sexes. RBC and Hb were identified as risk factors for MetS in women and Hb and RDW as risk factors in men.

Association of marital status and marital transition with metabolic syndrome: tehran lipid and glucose study

BACKGROUND

Most existing reports indicate that body weight gradually increases following marital status and thereby enhances health status and decreases mortality; however, the association between marital status and the metabolic syndrome (MetS) has not been thoroughly investigated in a longitudinal study.

OBJECTIVES

The aim of this study was to investigate the potential effects of marital status and marital transition on MetS during a 9.6-year follow-up in Tehran Lipid and Glucose Study.

PATIENTS AND METHODS

For this study, 5221 participants (2060 males and 3161 females), aged 15 to 90 years at baseline, were followed for a median of 9.6 years. Marital status was categorized as consistent marital status and marital transition. We measured MetS risk z score and its components and calculated their changes. Then the effects of marital status and marital transition on MetS risk z score and its components were assessed using multivariable linear regression.

RESULTS

In comparison to participants who were married, no significant changes in MetS risk z score was found in single participants. Employed females in the transition to married group had significant increase in MetS risk z score than single employed females. No significant changes in MetS risk z score were observed between widowed/divorced subjects and compared to consistently married subjects.

CONCLUSIONS

Marital status may affect MetS risk z score differently in both genders.

Association of hematological parameters with metabolic syndrome in Beijing adult population: a longitudinal study

The purposes of the study were to estimate the incidence of metabolic syndrome (MetS) and to systematically evaluate the relationship between hematological parameters and MetS in a 5-year follow-up of Beijing adult population. The longitudinal study included 3,180 adults, aged 20-65 years, who attended health check-ups in Beijing Tongren Hospital in 2007 and 2012. Multivariate logistic regression was conducted to explore the associations between hematological parameters and MetS. The 5-year cumulative incidence of MetS in this sample was 10.82 % (14.22 % for males and 7.59 % for females). Among all the hematological parameters, white blood cell count (WBC) was positively associated with MetS for 20-35-year-old (male OR 1.482, 95 % CI 1.169-2.974; female OR 1.398, 95 % CI 1.145-3.011), and 36-50-year-old (male OR 2.012, 95 % CI 1.290-4.010; female OR 3.400, 95 % CI 1.818-4.528) male and female subjects. Alanine aminotransferase (ALT) was significantly associated with the incidence of MetS for males (20-35-year-old OR 2.080, 95 % CI 1.371-3.159; 36-50-year-old OR 2.421, 95 % CI 1.335-3.412; 51-65-year-old OR 4.267, 95 % CI 1.161-6.781). Low-density lipoprotein cholesterol (LDL-C) was positively associated with MetS for 51-65-year-old (male OR 3.078, 95 % CI 2.468-5.131; female OR 2.140, 95 % CI 1.524-4.359) for male and female subjects. WBC is positively associated with MetS for young adults, while LDL-C is positively associated with MetS for elderly people. ALT is positively associated with MetS for males. Our findings provide further evidence in support of using hematological markers for early detection of individuals at risk for MetS.

Gender-dependent associations between socioeconomic status and metabolic syndrome: a cross-sectional study in the adult Saudi population

Background

To determine the gender-dependent association of socio-economic status variables with the prevalence of metabolic syndrome (MetS) in the adult Saudi population.

Methods

A total of 9164 adult Saudis (aged 18–70 years) were included in this cross-sectional study. Marital status, income, education, and occupation were used as socio-economic indicators while behavioral factor like physical exercise was also taken into account. MetS was defined using the criteria based from the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III).

Results

In males, the odds ratio (OR) of harboring MetS was higher in married [OR1.6 (Confidence Interval (CI) 1.1, 2.4); p < 0.03], and high income class [OR 2.3(CI 1.5, 3.5); p < 0.001] and lowest in retired and unemployed individuals [1.4(1.0, 1.9); p < 0.04, 0.61(0.45, 0.82); p < 0.001] respectively. In females, MetS was inversely related to high income [OR 0.70 (CI 0.46, 1.1); p < 0.09] and education level [OR 0.38 (CI 0.26, 0.56); p < 0.001], and was significantly higher in the unemployed class [OR 1.6 (CI 1.2, 2.2); p < 0.004].

Conclusions

The prevalence of MetS is significantly high among retired, married and high-earning Saudi males while in females, high earners and high education seem to confer a protective effect against MetS.

Area-level socioeconomic characteristics, prevalence and trajectories of cardiometabolic risk

This study examines the relationships between area-level socioeconomic position (SEP) and the prevalence and trajectories of metabolic syndrome (MetS) and the count of its constituents (i.e., disturbed glucose and insulin metabolism, abdominal obesity, dyslipidemia, and hypertension). A cohort of 4,056 men and women aged 18+ living in Adelaide, Australia was established in 2000–2003. MetS was ascertained at baseline, four and eight years via clinical examinations. Baseline area-level median household income, percentage of residents with a high school education, and unemployment rate were derived from the 2001 population Census. Three-level random-intercepts logistic and Poisson regression models were performed to estimate the standardized odds ratio (SOR), prevalence risk ratio (SRR), ratio of SORs/SRRs, and (95% confidence interval (CI)). Interaction between area- and individual-level SEP variables was also tested. The odds of having MetS and the count of its constituents increased over time. This increase did not vary according to baseline area-level SEP (ratios of SORs/SRRs ≈ 1; p ≥ 0.42). However, at baseline, after adjustment for individual SEP and health behaviours, median household income (inversely) and unemployment rate (positively) were significantly associated with MetS prevalence (SOR (95%CI) = 0.76 (0.63–0.90), and 1.48 (1.26–1.74), respectively), and the count of its constituents (SRR (95%CI) = 0.96 (0.93–0.99), and 1.06 (1.04–1.09), respectively). The inverse association with area-level education was statistically significant only in participants with less than post high school education (SOR (95%CI) = 0.58 (0.45–0.73), and SRR (95%CI) = 0.91 (0.88–0.94)). Area-level SEP does not predict an elevated trajectory to developing MetS or an elevated count of its constituents. However, at baseline, area-level SEP was inversely associated with prevalence of MetS and the count of its constituents, with the association of area-level education being modified by individual-level education. Population-level interventions for communities defined by area-level socioeconomic disadvantage are needed to reduce cardiometabolic risks.

Prevalence of metabolic syndrome and common metabolic components in high altitude farmers and herdsmen at 3700 m in Tibet

OBJECTIVES

To estimate the prevalence of metabolic syndrome, its associated factors and components in 30-80-year-old Tibetans living at high altitude.

METHOD

Multistage sampling of 692 participants. We used IDF criteria for estimation of the metabolic syndrome, and a questionnaire based on the WHO MONICA protocol.

RESULTS

The prevalence of metabolic syndrome was 8.2% (Confidence interval (CI):6.1-10.2) while the common components were: fasting hyperglycemia 57.5% (53.8-61.1); abdominal obesity 46% (42.2-49.7); and high blood pressure 37% (33.4-40.5). Metabolic syndrome was significantly lower for males, those with higher education and physical activity >2000 Kcal/week. Self awareness, treatment and control were low for both diabetes and lipid abnormality.

CONCLUSION

The overall prevalence of metabolic syndrome in high altitude farmers and herdsmen in Tibet was lower compared to other high altitude natives, while its components (hyperglycemia, obesity, and high blood pressure) were higher than in other high altitude communities. Implications of the findings of high prevalence of smoking (among men), obesity, and hypertension and low rates of awareness, treatment, and control of the components of the metabolic syndrome among rural highlanders propels the need for health programs targeting risk factors.

Area-level socioeconomic characteristics and incidence of metabolic syndrome: a prospective cohort study

BACKGROUND

The evidence linking socioeconomic environments and metabolic syndrome (MetS) has primarily been based on cross-sectional studies. This study prospectively examined the relationships between area-level socioeconomic position (SEP) and the incidence of MetS.

METHODS

A prospective cohort study design was employed involving 1,877 men and women aged 18+ living in metropolitan Adelaide, Australia, all free of MetS at baseline. Area-level SEP measures, derived from Census data, included proportion of residents completing a university education, and median household weekly income. MetS, defined according to International Diabetes Federation, was ascertained after an average of 3.6 years follow up. Associations between each area-level SEP measure and incident MetS were examined by Poisson regression Generalised Estimating Equations models. Interaction between area- and individual-level SEP variables was also tested.

RESULTS

A total of 156 men (18.7%) and 153 women (13.1%) developed MetS. Each percentage increase in the proportion of residents with a university education corresponded to a 2% lower risk of developing MetS (age and sex-adjusted incidence risk ratio (RR)=0.98; 95% confidence interval (CI) =0.97-0.99). This association persisted after adjustment for individual-level income, education, and health behaviours. There was no significant association between area-level income and incident MetS overall. For the high income participants, however, a one standard deviation increase in median household weekly income was associated with a 29% higher risk of developing MetS (Adjusted RR=1.29; 95%CI=1.04-1.60).

CONCLUSIONS

While area-level education was independently and inversely associated with the risk of developing MetS, the association between area-level income and the MetS incidence was modified by individual-level income.

The increased ratio of CD4+/CD8+ was positively correlated with inflammation in hepatitis C patients with metabolic syndrome

BACKGROUND/AIMS

The incidence of metabolic syndrome (MS) in hepatitis C patients in Taiwan is not well known. Although the ratio of CD4(+)/CD8(+) T lymphocytes is considered to possibly affect the pathogenesis of hepatitis C, the effects of MS on CD4(+)/CD8(+) T lymphocytes remain unknown. The aims of this study to assess (1) the incidence of MS, (2) the inflammation status and fatty changes of liver, and (3) changes in their CD4(+)/CD8(+) T-lymphocyte ratio in patients with hepatitis C.

METHODS

60 hepatitis C patients were classified into MS or non-MS group. The terms of anthropometric data, MS components, and T-lymphocytes were assessed.

RESULTS

The proportion of hepatitis C patients suffering from MS was 26.7% in this study. The CD4(+)/CD8(+) T-lymphocyte ratios were higher in patients with MS than non-MS group. Hepatitis C patients with MS also had higher levels of ferritin than non-MS. Moreover, the level of ferritin positively correlated with the severity of fatty liver. The CD4(+)/CD8(+) T-lymphocyte ratio is also positively correlated with ferritin level and the severity of fatty liver.

CONCLUSIONS

Hepatitis C patients with MS had higher ratio of CD4(+)/CD8(+) T lymphocyte, which is associated with a high inflammatory response and a fatty change of liver.

Sociodemographic disparities in the composition of metabolic syndrome components among adults in South Korea

OBJECTIVE Metabolic syndrome (MetS) is becoming a serious public health concern in many countries, including South Korea, which has faced remarkable changes in lifestyles and disease patterns in recent decades. We examined sex and socioeconomic status (SES) disparities in MetS and its components among South Koreans using recent, nationally representative data. RESEARCH DESIGN AND METHODS Data from the 2007-2008 Korea National Health and Nutrition Examination Surveys for 7,289 adults 19-65 years of age were used to examine the patterns of MetS components (defined using International Diabetes Federation criteria), and regression models were used to study the association of MetS with SES, indicated by education and family income levels. RESULTS MetS prevalence increased with age, from 4.6% at age 19-29 years to 25.0% at age 50-65 years. More men had MetS than women (15.8 vs. 11.6%); men had worse levels of all MetS components. In women, the low-income and low-education group was more likely to have MetS (odds ratio 2.75 [95% CI 1.75-4.31]); the high-income and high-education group was 52% less likely to have MetS (0.48 [0.25-0.89]) compared with the middle-income and middle-education group. The most common combination of MetS components was central obesity + low HDL cholesterol (HDL-C) + hypertriglyceridemia, which occurred in 15.5% of all MetS patients and in 3.4% of all South Korean adults (4.1% in men and 2.9% in women). CONCLUSIONS Those who were older and male as well as low-SES female had higher rates of MetS and its components in South Korea. The SES-MetS association was not found in men. Central obesity + low HDL-C + hypertriglyceridemia was the most common MetS pattern regardless of the SES.