Metabolic syndrome has been shown to be associated with cardiovascular morbidity and mortality (1,2). In the U.S., 23.7% of the population was classified as having metabolic syndrome by the National Cholesterol Education Program (NCEP) Adult Treatment Panel III definition when the Third National Health and Nutrition Examination Survey (NHANES III) data were used (3). According to the recent study by Ford et al. (4), the age-adjusted prevalence of metabolic syndrome was 27.0% based on data from the U.S. NHANES 1999–2000 study. Thus, the number of individuals with metabolic syndrome is increasing, and an increasing trend has been observed in Asian countries (5,6).

During the period 1970–1980, Korea experienced an epidemiologic switchover from infectious diseases to chronic degenerative diseases (7). A westernization of diet and a reduction in physical activity seem to have evoked metabolic imbalance, obesity, and an explosive increase in cardiovascular disease and diabetes. In particular, Korea experienced an economic crisis during the period 1997–1998 due to a collapse in the value of the currency, which was followed by an increase in the death rate (8).

Thus, we considered that changes in the prevalence of metabolic syndrome around this time would be of interest. In 1998, when the Korean economy was in crisis, and in 2001, when it returned to recovery, nationwide surveys referred to as the Korean National Health and Nutrition Examination Surveys (KNHANESs) were conducted. In the present study, we investigated the change in the prevalence of metabolic syndrome and its components by applying the NCEP definition to the data obtained during these two studies.

The KNHANESs were conducted in noninstitutionalized Korean civilians in 1998 and 2001. A stratified multistage probability sampling design was used (9). Of 9,734 and 7,918 participants in 1998 and 2001 surveys, 7,945 and 5,703 >20 years of age were available for analysis (age 43.4 ± 15.0 and 45.2 ± 15.5 years, respectively [means ± SD]). To assure the equal probability of being sampled, weightings were assigned to each respondent.

Anthropometric parameters and blood pressure were measured by standard methods. Fasting plasma glucose, total cholesterol, triglyceride, and HDL cholesterol levels were measured in a central, certified laboratory.

Metabolic syndrome was diagnosed according to the NCEP-Adult Treatment Panel III criteria (10) with the Asia-Pacific abdominal obesity criterion (waist circumference >90 cm in men and >80 cm in women) (11). All data are presented as percent (±SE). To age adjust statistics, we directly standardized the data to the Korean population aged ≥20 years in the year 2001 (12). Statistical analyses were conducted using t test and χ2 test and statistical significance was defined as a P <0.05.

The age-adjusted prevalence of metabolic syndrome was significantly higher in the 2001 survey than in 1998 survey (28.0 vs. 23.6%, P < 0.01). This represents an 18.6% increase in prevalence over 3 years (i.e., ∼6% per annum). When the original NCEP criteria of waist circumference were used (102 cm for men and 88 cm for women), 17.3 and 20.0% of the population were classified as having metabolic syndrome in the 1998 and 2001 surveys.

Table 1 shows the prevalence (percent ± SE) of the metabolic syndrome and its components according to the U.S. NHANES III (3) and KNHANES 1998 and 2001. Compared with the U.S. NHANES III survey, the two Korean studies showed a higher prevalence of the blood pressure and fasting glucose component but a lower prevalence of abdominal obesity, despite the fact that a lower criterion was used for the latter. Of the five components, Korean subjects with a low HDL cholesterol level increased most (36.6%) over the 3-year period, followed by hypertriglyceridemia and abdominal obesity (18.0 and 17.0% increases, respectively). In contrast, the prevalences of the high blood pressure and fasting glucose components decreased.

The prevalence of metabolic syndrome increased from 23.6% in the 1998 KNHANES survey to 28.0% in the 2001 survey, and increases in dyslipidemia and waist circumference accounted for much of the increase.

Lipid levels and waist circumference are all affected by lifestyle factors (13,14). The change to a high-fat diet and further reductions in physical activity in Korea seem to have contributed to this high prevalence of dyslipidemia and abdominal obesity (15). Actually in Korea, fat intake increased from 28.9 g in 1990 to 41.6 g in 2001, and television viewing time increased from 18.4 h/week in 1993 to 23.7 h/week in 2000 (16).

Interestingly, the proportions above the blood pressure or glucose criteria significantly reduced over 3 years in KNHANESs. In contrast, the U.S. NHANES data showed that prevalence of the glucose component marginally decreased (from 13.6 to 13.1%) and that of high blood pressure substantially increased (from 32.2 to 39.2%) (4).

There is no clear answer to the question as to why blood pressure and glucose level decreased over this 3-year period in Korea. Several possibilities may be suggested. First, a change in dietary pattern to lower salt and lower carbohydrate meals could explain in part the observed decrease in blood pressure and fasting glucose level, respectively (17). Second, there was a dramatic increase in the diabetes mortality rate from 18.8/100,000 in 1996 to 22.6/100,000 in 2000 (18). This increase was much higher than that of the earlier 5-year period and may be associated with the economic crisis from 1997. The resultant marked socioenvironmental changes increased all-cause mortality, especially mortality from diabetes and cardiovascular disease (19). This effect is likely to be transient, and the prevalence of diabetes is expected to rise in the future, considering the high fat intake and sedentary lifestyles (20).

In conclusion, the prevalence of metabolic syndrome has markedly increased in Korea over the 1998–2001 period, mainly because of dyslipidemia and abdominal obesity, despite the fact that blood pressure and fasting glucose criteria did not contribute. A national prevention strategy is required to reverse this trend. The first priority should be on reducing dyslipidemia and abdominal obesity. A change of dietary patterns and the importance of regular exercise should be emphasized.

Table 1—

Prevalence of individual metabolic abnormalities of metabolic syndrome and clustering of metabolic syndrome components in the U.S. NHANES III, KNHANES 1998, and KNHANES 2001

U.S. NHANES III* 1988–1994KNHANES 1998KNHANES 2001Percent changeP
n 8,814 7,945 5,703   
Abdominal obesity§      
    >102 cm for men; >88 for women 38.6 ± 0.8 — —   
    >90 cm for men; >80 for women — 30.6 ± 0.5 35.8 ± 0.6 17.0 <0.001 
Hypertriglyceridemia (≥150 mg/dl) 30.0 ± 1.1 28.3 ± 0.5 33.4 ± 0.6 18.0 <0.001 
Low HDL cholesterol (<40 mg/dl for men; <50 for women) 37.1 ± 1.2 36.1 ± 0.5 49.3 ± 0.7 36.6 <0.001 
Blood pressure (≥130/85 mmHg or medication) 34.0 ± 0.8 39.1 ± 0.6 37.7 ± 0.6 −3.6 0.002 
Fasting plasma glucose (≥110 mg/dl or medication) 12.6 ± 0.5 20.2 ± 0.5 17.4 ± 0.5 −13.9 <0.001 
Metabolic syndrome 23.7 ± 0.8 23.6 ± 0.5 28.0 ± 0.6 18.6 <0.001 
U.S. NHANES III* 1988–1994KNHANES 1998KNHANES 2001Percent changeP
n 8,814 7,945 5,703   
Abdominal obesity§      
    >102 cm for men; >88 for women 38.6 ± 0.8 — —   
    >90 cm for men; >80 for women — 30.6 ± 0.5 35.8 ± 0.6 17.0 <0.001 
Hypertriglyceridemia (≥150 mg/dl) 30.0 ± 1.1 28.3 ± 0.5 33.4 ± 0.6 18.0 <0.001 
Low HDL cholesterol (<40 mg/dl for men; <50 for women) 37.1 ± 1.2 36.1 ± 0.5 49.3 ± 0.7 36.6 <0.001 
Blood pressure (≥130/85 mmHg or medication) 34.0 ± 0.8 39.1 ± 0.6 37.7 ± 0.6 −3.6 0.002 
Fasting plasma glucose (≥110 mg/dl or medication) 12.6 ± 0.5 20.2 ± 0.5 17.4 ± 0.5 −13.9 <0.001 
Metabolic syndrome 23.7 ± 0.8 23.6 ± 0.5 28.0 ± 0.6 18.6 <0.001 

Data are % ± SE unless otherwise indicated.

*

Cited from ref. 3 with permission.

Percent change of individual metabolic abnormalities from KNHANES 1998 to KNHANES 2001.

Comparison between KNHANES 1998 and 2001.

§

Original NCEP Adult Treatment Panel III and Asia-Pacific criteria for abdominal obesity were used for the U.S. NHANES III and KNHANES, respectively.

1.
Trevisan M, Liu J, Bahsas FB, Menotti A: Syndrome X and mortality: a population-based study: Risk Factor and Life Expectancy Research Group.
Am J Epidemiol
148
:
958
–966,
1998
2.
Isomaa B, Almgren P, Tuomi T, Forsen B, Lahti K, Nissen M, Taskinen MR, Groop L: Cardiovascular morbidity and mortality associated with the metabolic syndrome.
Diabetes Care
24
:
683
–689,
2001
3.
Ford ES, Giles WH, Dietz WH: Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey.
JAMA
287
:
356
–359,
2002
4.
Ford ES, Giles WH, Mokdad AH: Increasing prevalence of the metabolic syndrome among U.S. adults.
Diabetes Care
27
:
2444
–2449,
2004
5.
Al Lawati JA, Mohammed AJ, Al Hinai HQ, Jousilahti P: Prevalence of the metabolic syndrome among Omani adults.
Diabetes Care
26
:
1781
–1785,
2003
6.
Chen CH, Lin KC, Tsai ST, Chou P: Different association of hypertension and insulin-related metabolic syndrome between men and women in 8437 nondiabetic Chinese.
Am J Hypertens
13
:
846
–853,
2000
7.
Korean National Statistical Office:
Annual Report on the Vital Statistics in Seoul, Korea
. Seoul, Korea, Korean National Statistical Office, 1970–2001
8.
Kim H, Song YJ, Yi JJ, Chung WJ, Nam CM: Changes in mortality after the recent economic crisis in South Korea.
Ann Epidemiol
14
:
442
–446,
2004
9.
Park HS, Oh SW, Cho SI, Choi WH, Kim YS: The metabolic syndrome and associated lifestyle factors among South Korean adults.
Int J Epidemiol
33
:
328
–336,
2004
10.
Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults: Executive summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III).
JAMA
285
:
2486
–2497,
2001
11.
WHO Western Pacific Region, International Association for the Study of Obesity, International Obesity Task Force:
The Asia-Pacific Perspective: Redefining Obesity and Its Treatment
. Sydney, Australia, Health Communications Australia, 2000, p. 15–21
12.
Korean National Statistical Office:
Census [article online]
,
2002
. Available from http://www.nso.go.kr/cgi-bin/sws_999.cgi. Accessed 17 January 2005
13.
Ross R, Dagnone D, Jones PJ, Smith H, Paddags A, Hudson R, Janssen I: Reduction in obesity and related comorbid conditions after diet-induced weight loss or exercise-induced weight loss in men: a randomized, controlled trial.
Ann Intern Med
133
:
92
–103,
2000
14.
Liu S, Manson JE: Dietary carbohydrates, physical inactivity, obesity, and the ‘metabolic syndrome’ as predictors of coronary heart disease.
Curr Opin Lipidol
12
:
395
–404,
2001
15.
Tchai BS: Changes of plasma lipids and biochemical markers for coronary artery disease in Korea (Review).
Ann N Y Acad Sci
676
:
279
–288,
1993
16.
Korean National Statistical Office:
Annual Report on the Vital Statistics in Seoul, Korea
. Seoul, Korea, Korean National Statistical Office, 1990–2001
17.
Ministry of Health and Welfare:
1995 National Nutrition Survey Report
. Seoul, South Korea, Ministry of Health and Welfare, 1997
18.
Korean National Statistical Office:
Census [article online]
, 1996–
2000
. Available from http://www.nso.go.kr/cgi-bin/sws_999.cgi. Accessed 17 January 2005
19.
Kim Y, Suh YK, Choi H: BMI and metabolic disorders in South Korean adults: 1998 Korea National Health and Nutrition Survey.
Obes Res
12
:
445
–453,
2004
20.
Kim S, Moon S, Popkin BM: The nutrition transition in South Korea.
Am J Clin Nutr
71
:
44
–53,
2000

A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.