Warning: fopen(/home/virtual/enm-kes/journal/upload/ip_log/ip_log_2024-04.txt): failed to open stream: Permission denied in /home/virtual/lib/view_data.php on line 88 Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 89 Prevalence and Current Management of Cardiovascular Risk Factors in Korean Adults Based on Fact Sheets
Skip Navigation
Skip to contents

Endocrinol Metab : Endocrinology and Metabolism

clarivate
OPEN ACCESS
SEARCH
Search

Articles

Page Path
HOME > Endocrinol Metab > Volume 35(1); 2020 > Article
Review Article
Prevalence and Current Management of Cardiovascular Risk Factors in Korean Adults Based on Fact Sheets
Eun-Jung Rheeorcid
Endocrinology and Metabolism 2020;35(1):85-94.
DOI: https://doi.org/10.3803/EnM.2020.35.1.85
Published online: March 19, 2020

Department of Endocrinology and Metabolism, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Corresponding author: Eun-Jung Rhee. Department of Endocrinology and Metabolism, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Korea. Tel: +82-2-2001-2485, Fax: +82-2-2001-1588, hongsiri@hanmail.net
• Received: February 12, 2020   • Revised: February 20, 2020   • Accepted: February 27, 2020

Copyright © 2020 Korean Endocrine Society

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • 8,635 Views
  • 161 Download
  • 28 Web of Science
  • 37 Crossref
  • 39 Scopus
  • Korea is currently an aged society and is on the cusp of becoming a superaged society in a few years. The health burden of cardiovascular diseases increases with age, and the increasing prevalence of cardiovascular risk factors, such as obesity, hypertension, diabetes mellitus, and dyslipidemia, may be linked to increased population-level cardiovascular risk. In 2018, the prevalence of obesity in Korea was 35.7% (men, 45.4%; women, 26.5%) according to the Obesity Fact Sheet 2019, based on National Health Insurance Corporation medical checkup data. In 2016, the prevalence of diabetes was 14.4% in Koreans older than 30 years according to the Diabetes Fact Sheet published by the Korean Diabetes Association, based on data from the Korean National Health and Nutrition Examination Survey. The prevalence of hypertension in the total population of Korea in 2018 was 28.3% according to the Korean Hypertension Fact Sheet produced by the Korean Society of Hypertension. Lastly, the prevalence of dyslipidemia in 2018 was 40.5% according to the Dyslipidemia Fact Sheet published by the Korean Society of Lipid and Atherosclerosis. In this article, I would like to review the prevalence and current management of cardiovascular risk factors in Korea according to the fact sheets released by various associations.
According to the Statistics Korea, Koreans 65 years or older accounted for 14.2% of the population in 2017, indicating that Korea has become an aged society, and the proportion of people aged 65 years or older is expected to exceed 20% by 2026, at which point Korea will become a superaged society [1]. The increasing number of elderly people will be accompanied by a greater burden of mortality and morbidity related to cardiovascular and metabolic diseases. This point is underscored by the importance of cardiovascular and metabolic diseases as causes of death; for instance, in 2018, heart disease, cerebral hemorrhage, diabetes, and hypertension were the second, fourth, sixth, and 10th most common causes of death in Korea, respectively [1]. Therefore, interventions to prevent and/or reduce cardiovascular risk factors are warranted.
In Korea, numerous associations annually release fact sheets with information on the prevalence and current management of their diseases of interest based on analyses of national databases. Every year since 2015, the Korean Society for the Study of Obesity (KSSO) has released the Obesity Fact Sheet, which is based on an analysis of National Health Insurance Service (NHIS) and Korean National Health and Nutrition Examination Survey (KNHANES) data [2]. Almost every year since 2012, the Korean Diabetes Association (KDA) has released the Diabetes Fact Sheet, which is based on an analysis of KNHANES data and supplemented by NHIS data [3]. Furthermore, the Korean Society of Hypertension (KSH) released the first Hypertension Fact Sheet in 2018 using KNHANES and NHIS data [4]. Lastly, since 2015, the Korean Society of Lipid and Atherosclerosis (KSoLA) has released the Dyslipidemia Fact Sheet, which is based on an analysis of KNHANES and NHIS data [5]. Although these fact sheets differ in terms of the years of data that are included, they help clinicians and the public to recognize the current status of these diseases in Korea and to implement better strategies to promote health.
The NHIS and KNHANES provide two national-scale datasets, which are the main sources used to generate these fact sheets. The NHIS provides claims data for almost all beneficiaries of the NHIS, which covers the entire population of Korea, as well as data from a nationwide medical checkup program, in which biennial examinations are provided to all Koreans older than 20 years [6]. This database contains laboratory data for metabolic parameters, and claims codes for diseases and medications are also available. The KNHANES dataset is constructed as part of an ongoing cross-sectional study conducted by the Korea Centers for Disease Control and Prevention that has been assessing the health and nutritional status of Koreans since 1998 [7]. This nationally representative cross-sectional survey includes approximately 10,000 individuals each year as a survey sample and collects information on socioeconomic status, health-related behaviors, quality of life, healthcare utilization, anthropometric measures, biochemical and clinical profiles for non-communicable diseases, and dietary intake. It has three components: a health interview, a health examination, and a nutrition survey. The NHIS dataset has the advantage of containing data from the entire Korean population, while the KNHANES dataset furnishes well-sampled data representing the entire Korean population.
In this review, I would like to summarize the information contained in the four above mentioned fact sheets, focusing on the prevalence and current management of each disease in Korea to provide insights into the current status and management of cardiovascular risk factors in Korea.
The KSSO has released the Obesity Fact Sheet since 2015. The fact sheets released over the course of the last 4 years have presented cross-sectional data on obesity and its comorbidities. Distinct from the previous Obesity Fact Sheets, the Obesity Fact Sheet 2019 focused on changes in the prevalence of obesity over the past 10 years, from 2009 to 2018, primarily on the basis of an analysis of the NHIS database [28].
Obesity was defined as a body mass index (BMI) equal to or higher than 25 kg/m2, according to the Asia-Pacific Region definition and the KSSO obesity guideline [910]. Over the past 10 years, the prevalence of obesity in Korea markedly increased (Fig. 1). In 2009, the prevalence of obesity in the total population was 29.7%, which increased to 35.7% in 2018. This trend was similar in both sexes. In 2018, the prevalence of obesity was 45.4% in men and 26.5% in women, showing a higher prevalence in men than in women, as expected (Fig. 2).
Trends in the obesity rate by age and sex over the past 10 years
When the prevalence of obesity was analyzed by age group, it was found that the prevalence of obesity gradually increased in all age groups over the past 10 years [28]. The highest prevalence of obesity was found in adults in their 30s (40.5%), followed by those in their 60s (40.1%), those in their 70s (39.8%), and those in their 40s (38.3%). The prevalence of obesity in adults in their 20s, 30s, and 80s showed a significantly steeper increasing trend over the past 10 years than was observed in other age groups.
In men, the prevalence of obesity gradually increased over the past 10 years in all age groups, with the highest prevalence of obesity found in men in their 30s (51% in 2018). Men in their 20s and 30s showed steeper increases in the prevalence of obesity than were found in other age groups. This increase in the prevalence of obesity in young men reflects a worrisome metabolic health threat facing young Korean men.
In women, an increasing trend in the prevalence of obesity was not found in all age groups. Of note, women in their 20s, 30s, 70s, and 80s showed a markedly increasing trend in the prevalence of obesity, while paradoxically, those in their 50s and 60s showed a decreasing trend (32.7% to 30.6% in 50s, 41.4% to 38.7% in 60s) [28]. The decrease in the prevalence of obesity in post-menopausal women (50s and 60s) was unexpected, but a potential explanation is that these are age groups in which women tend to be relatively economically stable and can therefore take steps to care for their own health through lifestyle modifications.
Trends in the prevalence of abdominal obesity
Abdominal obesity was defined by a waist circumference of at least 90 cm in men and 85cm in women according to the KSSO criteria [10]. The prevalence of abdominal obesity significantly increased over the past 10 years in Korean adults [28], with prevalence rates of 23.8% in the total population, 28.1% in men, and 18.2% in women recorded in 2018. Similar to the prevalence of general obesity assessed by BMI, the prevalence of abdominal obesity increased most steeply in adults in their 30s. In contrast, the prevalence of abdominal obesity decreased in those in their 60s. A significant difference from general obesity is that the absolute rate of abdominal obesity was higher in older age groups, with a prevalence of 29.6% in adults in their 60s and 36.1% in those in their 80s; in contrast, the prevalence of abdominal obesity was 22.4% in adults in their 30s and 23.4% in those in their 50s. However, the highest rate of increase was found for adults in their 30s (15.8% to 24.5%), overwhelming the rate of increase for adults in their 40s and 50s (16.2% to 22.3% in 40s, 22.2% to 23.4% in 50s).
In men, the prevalence of abdominal obesity gradually increased over the past 10 years in all age groups, but the trend was somewhat different from that of the total population. Men in their 70s showed the highest prevalence of abdominal obesity in 2018 (32.5%), followed in order by those in their 30s, 80s, and 60s (30.8%, 30.4%, and 30.0%). In contrast, in the total population, the top-tier prevalence of abdominal obesity was found in older age groups (36.1% in 70s, 35.1% in 80s, 29.6% in 60s). Of note, men in their 30s and 40s were the most severely threatened age groups in terms of the rate of increase in the prevalence of abdominal obesity (18.9% to 30.8% in 30s, 20.7% to 29.1% in 40s). As with general obesity, lifestyle interventions for men in these age groups are warranted.
In women, the highest prevalence of obesity was observed in those in their 70s (39.4%). Similar to the trends observed for general obesity, the prevalence of abdominal obesity decreased in women in their 50s and 60s (19.9% to 19.0% in 50s, 32.8% to 29.2% in 60s). The prevalence of abdominal obesity in women in their 20s, 30s, and 40s showed an increasing trend (4.4% to 8.1% in 20s, 7.3% to 11.9% in 30s, and 11.0% to 14.1% in 40s). However, the absolute prevalence was higher in older age groups than in younger age groups.
The KDA has released the Diabetes Fact Sheet at intervals of 1 to 2 years since 2012. The aims of this fact sheet are to provide accurate statistics on the number of patients with diabetes in Korea and their management status, and to show the severity of the comorbidities and complications of diabetes. In the Diabetes Fact Sheet 2018, information on the prevalence of diabetes, level of management, comorbidities, and health behaviors was extracted from KNHANES data from 2011 to 2016, and the current status of diabetes treatment was analyzed using health insurance data from the NHIS [311]. The cross-sectional prevalence of diabetes was analyzed using KNHANES 2016 data, and trends in the prevalence of diabetes over time were assessed using data from 2011 to 2016 [3]. Individuals were classified as having diabetes if they satisfied any of the following four criteria: (1) having been diagnosed with diabetes by a doctor, (2) currently taking anti-diabetic medications, (3) having a fasting plasma glucose (FPG) ≥126 mg/dL, or (4) having a hemoglobin A1c (HbA1c) level ≥6.5% [10].
The prevalence of diabetes among adults 30 years or older was 14.4% (15.8% in men and 13.0% in women) when the HbA1c criterion was included in the definition of diabetes (Fig. 2). The prevalence of diabetes was even higher (29.8%) when the analysis was limited to adults older than 65 years, meaning that one in three Koreans 65 years or older had diabetes. When separate analyses were conducted by age group and sex, the prevalence of diabetes exceeded 10% for men in their 40s (10.9%) and 10% for women in their 50s (12.4%) (Fig. 3). The prevalence of diabetes was higher in women in their 70s than in men in their 70s (33.6% vs. 29.1%).
When the prevalence of diabetes was analyzed serially from 2011 to 2016, it was found to have increased from 12.4% in 2011 to 14.4% in 2016. The increasing trend was similar in men and women.
Prevalence of impaired fasting glucose
Prediabetes refers to glycemic abnormalities that precede diabetes [12]. The Diabetes Epidemiology: Collaborative analysis of Diagnostic criteria in Europe (DECODE) study and the Funagata study found that prediabetes was a strong predictor of cardiovascular mortality in comparison to normoglycemic individuals [1314]. Therefore, interventions to lower blood glucose levels should be started in the stage of prediabetes to reduce cardiovascular disease (CVD) risk.
Impaired fasting glucose (IFG) is defined by an FPG of 100 to 125 mg/dL and an HbA1c level <6.5% in people who have not been diagnosed with diabetes [12]. In 2016, the prevalence of IFG among Korean adults 30 years or older was 25.3% in the total population (31% in men and 19.7% in women). In an analysis by age group, the prevalence of IFG steadily increased with age in both sexes, except for individuals in their 70s. The estimated number of Korean adults with IFG was 1.73 times that of those with diabetes, corresponding to 5.02 million patients with diabetes and 8.71 million patients with IFG. In total, 13.72 million Korean adults were estimated to suffer from IFG or diabetes.
Management of diabetes
The current status of diabetes management was analyzed. The awareness rate of diabetes was 62.6%, and the treatment rate was 56.7%, which were relatively high compared to other diseases (Fig. 4). However, the control rate, defined by an HbA1c level <6.5%, was only 25.1%, which was relatively low considering the high awareness and treatment rates. When the target HbA1c level was defined as <7.0%, the control rate increased to 52.6%. Nonetheless, 20.9% of people with diabetes had an HbA1c level ≥8.0%, indicating that they still had a long way to go to reach a reasonable target.
Comorbidities of diabetes
When the comorbidities of diabetes were analyzed, it was found that 50.4% of people with diabetes were obese, as defined by a BMI ≥25 kg/m2. Class II obesity (BMI 30 to 34.9 kg/m2) was present in 8.4% of people with diabetes, and class III obesity (BMI ≥35.0 kg/m2) was present in 1.8% of people with diabetes.
When abdominal obesity was defined by a waist circumference ≥90 cm in men and ≥85 cm in women, it was found that 52.2% of people with diabetes had abdominal obesity, a higher proportion than was observed in the general population [10]. Men with diabetes showed a higher prevalence of abdominal obesity than women with diabetes (55.8% vs. 47.9%).
Hypertension was defined by a blood pressure ≥140/90 mm Hg and/or taking anti-hypertensive medications; according to this definition, 55.3% of patients with diabetes had hypertension. Surprisingly, more than seven out of 10 (74.6%) of people 65 years or older with diabetes had hypertension. Controlled hypertension was defined by a blood pressure <140/85 mm Hg according to KDA Treatment Guideline for Diabetes 2015, and roughly seven out of 10 (73.1%) people with diabetes had reached their target blood pressure goal according to this definition [12].
When hypercholesterolemia was defined by a total cholesterol (TC) level ≥240 mg/dL and/or the use of lipid-lowering medications, the prevalence of hypercholesterolemia in people with diabetes was found to be 34.9%. Moreover, only four out of 10 people with diabetes had reached the target goal of a low-density lipoprotein cholesterol (LDL-C) level <100 mg/dL according to the KDA Treatment Guideline for Diabetes 2015 [12].
The proportion of people with comprehensive management of diabetes, defined by satisfying all three target of an HbA1c level <6.5%, blood pressure <140/85 mm Hg, and a LDL-C level <100 mg/dL, was 8.4% in people with diabetes, which seems rather low. Comprehensive management of diabetes should be implemented in patients with diabetes to reduce CVD risk, as suggested by findings of the Steno-2 trial [13].
The KSH released its first fact sheet for hypertension epidemiology in 2018, based on an analysis of NHIS and KNHANES data through 2016 [415]. Hypertension was defined as a blood pressure ≥140/90 mm Hg and/or taking anti-hypertensive medication [16].
According to this fact sheet, 11 million Koreans were estimated to have hypertension, approximately 29% of Korean adults older than 30 years. Men showed a higher prevalence of hypertension than women (35% vs. 22.9%) (Fig. 2).
Prevalence of hypertension by age
When the prevalence of hypertension was analyzed by age group and sex, men showed a higher prevalence than women until their 60s, after which women showed a higher prevalence than men, similar to the other diseases discussed above. Since 1998, the prevalence of hypertension has increased in both sexes, except for women in their 40s to 60s. In general, the prevalence of hypertension showed a decreasing trend in middle-aged women, as was observed for obesity (Fig. 5).
Management of hypertension
The status of hypertension management was assessed in terms of control, awareness, and treatment rates. The target of blood pressure control was <140/90 mm Hg, according to the KSH guideline for hypertension management [17]. In 2016, the rate of hypertension control was 43.7% among patients diagnosed with hypertension and 70.8% among those who had been treated for hypertension (Fig. 4). In addition, the awareness and treatment rates of hypertension were 65% and 61%, respectively, in 2016. When these indices were analyzed over the past 10 years, the awareness, treatment, and control rates of hypertension steadily increased from 1998 to 2007. However, starting in 2007, the rates remained stagnant for 10 years. Further efforts should be made to improve the management of hypertension.
Since 2015, the KSoLA has regularly released the Dyslipidemia Fact Sheet based on national survey data to uphold its mission of preventing and treating atherosclerosis and to improve public awareness of atherosclerosis and its risk factors. The Dyslipidemia Fact Sheet 2018 was based on KNHANES and NHIS data through 2016 [5].
Prevalence and management of hypercholesterolemia
Hypercholesterolemia was defined by a TC level ≥240 mg/dL, previously diagnosed hypercholesterolemia, or the use of any anti-dyslipidemic drugs. The prevalence of hypercholesterolemia in adults 30 years or older was found to be 19.9% in 2016, meaning that nearly one out of five adults had hypercholesterolemia. The prevalence increased from 14.4% in 2012 to 19.9% in 2016. Men and women showed a similar increase in the prevalence of hypercholesterolemia during this period.
Regarding the management of hypercholesterolemia, the awareness rate of hypercholesterolemia was 58.5% in 2016, meaning that four out of 10 adults with hypercholesterolemia were not aware of their condition (Fig. 4). However, the awareness rate steadily increased from 38.8% in the KNHANES IV data (2007 to 2009) to 58.4% in the KNHANES VII data (2016). The treatment rate of hypercholesterolemia was 49.1% according to the KNHANES VII data from 2016, meaning half of hypercholesterolemic patients took lipid-lowering medications. Lastly, the control rate of hypercholesterolemia was 41.3%, based on a target goal of TC <200 mg/dL. The control rate was much higher (82.7%) in patients taking lipid-lowering drugs, implying that taking lipid-lowering drugs may be an effective way for patients to reach their target cholesterol levels.
Prevalence and management of dyslipidemia
Dyslipidemia was diagnosed in individuals who satisfied one of the three following criteria: an LDL-C level ≥160 mg/dL, a high-density lipoprotein cholesterol (HDL-C) level <40 mg/dL, or a triglyceride (TG) level ≥200 mg/dL. Individuals taking any medications for dyslipidemia or who were previously diagnosed with dyslipidemia were also classified as having dyslipidemia.
The mean serum TC level in adults aged 30 years or older was 192.8 mg/dL in men and 193.4 mg/dL in women. The mean levels of TG, HDL-C, and LDL-C were 169.7, 47.0, and 113.8 mg/dL, respectively, in men, and 118.4, 54.0, and 116.2 mg/dL, respectively, in women.
The prevalence of dyslipidemia was 40.5% in the total population (47.9% in men and 34.3% in women) (Fig. 2). When the prevalence was analyzed by age group, it was found that the prevalence of dyslipidemia gradually increased with age, and that adults in their 60s showed the highest prevalence of dyslipidemia (55.8%) (Fig. 6).
The prevalence of high LDL-C was 17.6%, and it increased with age, from 5.6% in adults in their 30s to 32.3% in those in their 60s. Although the prevalence of high LDL-C in men in their 30s and 40swas higher than that in women belonging to the corresponding age groups, women showed a markedly increased prevalence in their 50s. Specifically, the prevalence of high LDL-C was six times higher in women in their 50s than in those in their 30s, which implies that the influence of postmenopausal status on LDL-C levels is tremendous. The prevalence of high LDL-C in women in their 60s (39.9%) was higher both than that of women in any other age group and the prevalence among men in the same age group.
In contrast, hypertriglyceridemia showed somewhat different features. The prevalence of hypertriglyceridemia was 17.5% in the total population, with a much higher prevalence in men than in women (24.8% vs. 11.0%). The highest prevalence of hypertriglyceridemia was observed in men in their 40s (30.5%), and this rate was four times higher than that of women in the same age group. As high TG levels are considered to be a marker of insulin resistance and are one of the components of metabolic syndrome, high TG levels in men in their 40s mean that they are at an increased risk for diabetes and metabolic syndrome [17]. Lifestyle interventions and education about weight control are warranted for men in this age group.
Insulin resistance causes shrinkage and degradation of HDL particle via the kidney, and low HDL-C levels are considered to be one of the components of metabolic syndrome [18]. HDL-C has anti-atherogenic effects, but HDL-C levels are not easily affected by lipid-lowering agents; instead, there is evidence suggesting that HDL-C levels are more strongly affected by genetic factors [19]. The prevalence of low HDL-C was found to be 19.4%, and the prevalence of low HDL-C was relatively weakly affected by age in men, as shown by a slight increase from 24.6% in men in their 30s to 30.9% in men after 70 years of age. However, in women, the prevalence steeply increased with age, from 6.8% in women in their 30s to 22.4% in women after 70 years of age. Although the absolute rate of low HDL-C is lower in women than in men, HDL-C levels seem to be more strongly affected by aging in women than in men.
To summarize, prevalence of all risk factors significantly increased in Korea for the last 10 years. Among the risk factors, the increase in obesity was most noticeable, and this increase was accompanied by other risk factors related with insulin resistance, such as diabetes, hypertension and dyslipidemia. Of note, steady deterioration of metabolic risk factors in men in their 30s and 40s was so prominent that life style intervention and weight reduction in these working age groups are nationally warranted. Unexpectedly, women in their 50s and 60s showed relatively decreasing trend for obesity compared to other age groups, and men in the same age group. These finding could be partly attributed to economic growth of Korea in that women in these age can have spare time and money to take care of their health. Decreasing trend of prevalence of hypertension in women in these age groups support this hypothesis. Prevalence of diabetes show increasing trend and one in 7 Korean adults suffer from diabetes. Surprisingly, one in three Koreans in their 60s have diabetes, an alarm for healthcare burden in superaged Korean society. Fortunately, awareness and treatment rate steadily improved over the past 10 years for hypertension and hypercholesterolemia in Korean adults, although control rates are still low, especially for diabetes (Table 1).
The interactions between cardiovascular risk factors such as diabetes, hypertension, obesity, dyslipidemia and the events themselves cannot be separated in any circumstances. There is a tremendous amount of evidence proving the effectiveness of optimal control of risk factors on the prevention of CVD and resultant mortality. According to NHIS data, 2.6 million Koreans have both hypertension and dyslipidemia, 0.72 million have both diabetes and dyslipidemia, 0.64 million have both hypertension and diabetes, and 1.4 million have all three diseases (Fig. 7). Simultaneously having multiple of these risk factors exponentially increases cardiovascular risk compared to having only a single risk factor [1320].
As discussed in this review, hypertension and dyslipidemia can be relatively easily controlled by medications. However, despite a large number of novel anti-diabetic drugs, glycemic targets are still difficult to reach. Similarly, reducing body weight to combat obesity is an extremely difficult task for an obese person. However, if one were to ask about the best way to prevent or treat all these risk factors, I would recommend weight reduction above all other interventions. Education and the provision of accurate information on lifestyle modifications as early as possible in the life course may be the most effective way to prevent people from proceeding down the pathway that leads to CVD.

CONFLICTS OF INTEREST: No potential conflict of interest relevant to this article was reported.

  • 1. Korean Statistical Information Service. Population in old ages [Internet]; Daejeon: Statistics Korea; 2020. cited 2020 Feb 24. Available from: https://kosis.kr/eng/.
  • 2. Korean Society for the Study of Obesity. Obesity Fact Sheet [Internet]; Seoul: KOSSO; 2020. cited 2020 Feb 24. Available from: http://www.kosso.or.kr/popup/obesity_fact_sheet.html.
  • 3. Korean Diabetes Association. Diabetes Fact Sheet in Korea [Internet]; Seoul: KDA; 2020. cited 2020 Feb 24. Available from: https://www.diabetes.or.kr/pro/news/admin.php?mode=list&category=A.
  • 4. The Korean Society of Hypertension. 2018 Fact Sheet [Internet]; Seoul: KDA; 2020. cited 2020 Feb 24. Available from: http://www.koreanhypertension.org/reference/guide?mode=read&idno=4166.
  • 5. The Korean Society of Lipid and Atherosclerosis. Dyslipidemia Fact Sheet 2018 [Internet]; Seoul: KDA; 2020. cited 2020 Feb 24. Available from: https://www.lipid.or.kr/bbs/?code=fact_sheet.
  • 6. Lee YH, Han K, Ko SH, Ko KS, Lee KU. Taskforce Team of Diabetes Fact Sheet of the Korean Diabetes Association. Data analytic process of a nationwide population-based study using national health information database established by National Health Insurance Service. Diabetes Metab J 2016;40:79–82. ArticlePubMedPMC
  • 7. Kweon S, Kim Y, Jang MJ, Kim Y, Kim K, Choi S, et al. Data resource profile: the Korea National Health and Nutrition Examination Survey (KNHANES). Int J Epidemiol 2014;43:69–77. ArticlePubMedPMCPDF
  • 8. Nam GE, Kim YH, Han K, Jung JH, Park YG, Lee KW, et al. Obesity fact sheet in Korea, 2018: data focusing on waist circumference and obesity-related comorbidities. J Obes Metab Syndr 2019;28:236–245. ArticlePubMedPMCPDF
  • 9. WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004;363:157–163. ArticlePubMed
  • 10. Seo MH, Lee WY, Kim SS, Kang JH, Kang JH, Kim KK, et al. 2018 Korean Society for the Study of Obesity guideline for the management of obesity in Korea. J Obes Metab Syndr 2019;28:40–45. ArticlePubMedPMCPDF
  • 11. Kim BY, Won JC, Lee JH, Kim HS, Park JH, Ha KH, et al. Diabetes fact sheets in Korea, 2018: an appraisal of current status. Diabetes Metab J 2019;43:487–494. ArticlePubMedPMC
  • 12. Kim MK, Ko SH, Kim BY, Kang ES, Noh J, Kim SK, et al. 2019 Clinical practice guidelines for type 2 diabetes mellitus in Korea. Diabetes Metab J 2019;43:398–406. ArticlePubMedPMC
  • 13. Zhang L, Qiao Q, Tuomilehto J, Hammar N, Ruotolo G, Stehouwer CD, et al. The impact of dyslipidaemia on cardiovascular mortality in individuals without a prior history of diabetes in the DECODE Study. Atherosclerosis 2009;206:298–302. ArticlePubMed
  • 14. Tominaga M, Eguchi H, Manaka H, Igarashi K, Kato T, Sekikawa A. Impaired glucose tolerance is a risk factor for cardiovascular disease, but not impaired fasting glucose: the Funagata Diabetes Study. Diabetes Care 1999;22:920–924. ArticlePubMed
  • 15. Korean Society Hypertension (KSH). Hypertension Epidemiology Research Working Group. Kim HC, Cho MC. Korea hypertension fact sheet 2018. Clin Hypertens 2018;24:13. ArticlePubMedPMCPDF
  • 16. Gaede P, Lund-Andersen H, Parving HH, Pedersen O. Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med 2008;358:580–591. ArticlePubMed
  • 17. Kwon YH, Kim SK, Cho JH, Kwon H, Park SE, Oh HG, et al. The association between persistent hypertriglyceridemia and the risk of diabetes development: the Kangbuk Samsung Health Study. Endocrinol Metab (Seoul) 2018;33:55–61. ArticlePubMedPMC
  • 18. Wu L, Parhofer KG. Diabetic dyslipidemia. Metabolism 2014;63:1469–1479. ArticlePubMed
  • 19. Parhofer KG. Increasing HDL-cholesterol and prevention of atherosclerosis: a critical perspective. Atheroscler Suppl 2015;18:109–111. ArticlePubMed
  • 20. Rawshani A, Rawshani A, Franzen S, Sattar N, Eliasson B, Svensson AM, et al. Risk factors, mortality, and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med 2018;379:633–644. ArticlePubMed
Fig. 1

Prevalence of obesity in the last 10 years (2009 to 2018). Obesity was defined as a body mass index equal to or higher than 25 kg/m2. Modified from the guidelines of Korean Society for the Study of Obesity [2].

enm-35-85-g001.jpg
Fig. 2

Prevalence of risk factors in Korean adults.

enm-35-85-g002.jpg
Fig. 3

Prevalence of diabetes by age and sex (2016). Diabetes was defined if they satisfied any of the following four criteria: (1) having been diagnosed with diabetes by a doctor, (2) currently taking anti-diabetic medications, (3) having a fasting plasma glucose ≥ 126 mg/dL, or (4) having a hemoglobin A1c level ≥6.5%. Modified from the guidelines of Korean Diabetes Association [3].

enm-35-85-g003.jpg
Fig. 4

Management of risk factors in Korean adults.

enm-35-85-g004.jpg
Fig. 5

Changes in the prevalence of hypertension by age and sex over time. Hypertension was defined as a blood pressure ≥140/90 mm Hg and/or taking anti-hypertensive medication. Modified from the guidelines of Korean Society of Hypertension [4].

enm-35-85-g005.jpg
Fig. 6

Prevalence of dyslipidemia by age group in Korean adults. Dyslipidemia diagnosed in individuals who satisfied one of the three following criteria: a low-density lipoprotein cholesterol ≥160 mg/dL, a high-density lipoprotein cholesterol <40 mg/dL, or a triglyceride ≥200 mg/dL. Individuals taking any medications for dyslipidemia or who were previously diagnosed with dyslipidemia were also classified as having dyslipidemia. Modified from the guidelines of Korean Society of Lipid and Atherosclerosis [5].

enm-35-85-g006.jpg
Fig. 7

Concurrent treatment of hypertension, diabetes, and dyslipidemia in Korean adults. Modified from the guidelines of Korean Diabetes Association [3].

enm-35-85-g007.jpg
Table 1

Take Home Message from the Fact Sheets of Cardiovascular Risk Factors in Korea

enm-35-85-i001.jpg
1. The prevalence of obesity gradually increased in all age groups over the past 10 years and overall prevalence was 35.7% in 2018.
2. The prevalence of obesity in adults in their 20s, 30s, and 80s showed a significantly steeper increasing trend over the past 10 years than was observed in other age groups; the prevalence of obesity in their 50s and 60s was decreased.
3. The prevalence of abdominal obesity significantly increased over the past 10 years in Korean adults, with prevalence rates of 23.8% in the total pop- ulation.
4. Men in their 30s and 40s were the most severely threatened age groups in terms of the rate of increase in the prevalence of abdominal obesity.
5. The prevalence of diabetes among adults 30 years or older was 14.4%; one in three (29.8%) Koreans 65 years or older had diabetes.
6. The control rate of diabetes, defined by a hemoglobin A1c level <6.5%, was 25.1%.
7. The prevalence of IFG among Korean adults 30 years or older was 25.3% in the total population.
8. Eleven million Koreans were estimated to have hypertension, approximately 29% of Korean adults older than 30 years.
9. The awareness, treatment, and control rates of hypertension steadily increased from 1998 to 2007; however, starting from 2007, the rates remained stagnant for 10 years.
10. The prevalence of hypercholesterolemia in adults 30 years or older was found to be 19.9% in 2016; the prevalence increased from 14.4% in 2012 to 19.9% in 2016.
11. The prevalence of dyslipidemia was 40.5% in the total population; the prevalence of high low-density lipoprotein cholesterol in women in their 60s (39.9%) was higher both than that of women in any other age group and the prevalence among men in the same age group; the prevalence of hyper- triglyceridemia was 17.5% in the total population, with a much higher prevalence in men than in women (24.8% vs. 11.0%).

IFG, impaired fasting glucose.

Figure & Data

References

    Citations

    Citations to this article as recorded by  
    • A Study on Changes in Nutritional and Blood Conditions Before and After Consumption of Diabetic Soymilk in Elderly Women with Diabetes
      Hyo-Jeong Hwang, Soon-Hee Park, Seon-Young Park, Soo-Rin Ahn, Su-Jin Park, Yoo-Jin Lee, Kwang-Jin Chon, Chung-Hwa Song, Dae-Gyun Moon, Kyung-Ok Shin
      Journal of the Korean Society of Food Science and Nutrition.2023; 52(4): 341.     CrossRef
    • Effect of hemp seed oil on lipid metabolism in rats fed a high-cholesterol diet
      Jin A Lee, Seong-Soo Roh, Woo Rak Lee, Mi-Rae Shin
      Journal of Nutrition and Health.2023; 56(4): 361.     CrossRef
    • The Longitudinal Effect of Ultra‐Processed Food on the Development of Dyslipidemia/Obesity as Assessed by the NOVA System and Food Compass Score
      Li‐Juan Tan, Su Bin Hwang, Sangah Shin
      Molecular Nutrition & Food Research.2023;[Epub]     CrossRef
    • Sex Differences in Coronary Artery Disease: Insights From the KoRean wOmen’S chest pain rEgistry (KoROSE)
      Hack-Lyoung Kim, Myung-A Kim
      Korean Circulation Journal.2023; 53(10): 655.     CrossRef
    • Awareness and Related Factors of Dyslipidemia in Menopausal Women in Korea
      Jeonghee Jeong, Mijin Kim
      Healthcare.2022; 10(1): 112.     CrossRef
    • Genetic Determinants of Visit-to-Visit Lipid Variability: Genome-Wide Association Study in Statin-Naïve Korean Population
      Jun-Bean Park, Eunsoon Shin, Jong-Eun Lee, Seung Jae Lee, Heesun Lee, Su-Yeon Choi, Eun Kyung Choe, Seung Ho Choi, Hyo Eun Park
      Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
    • TheIn VitroAntioxidant and Antidiabetic Activity of Various Fractions from Monascus-Fermented Ginger Extract
      Su-Min Yoon, Young-Hee Pyo
      Journal of the Korean Society of Food Science and Nutrition.2022; 51(2): 125.     CrossRef
    • The Influence of Obesity and Metabolic Health on Vascular Health
      Eun-Jung Rhee
      Endocrinology and Metabolism.2022; 37(1): 1.     CrossRef
    • Correlates of Objectively Measured Sitting Time in South Korean Adults: 2014–2015 Korea National Health and Nutrition Examination Survey
      Hyo Lee, Miyoung Lee
      Frontiers in Public Health.2022;[Epub]     CrossRef
    • Association between metabolic syndrome and left ventricular geometric change including diastolic dysfunction
      Seung‐Jae Lee, Hyunah Kim, Byeong Kil Oh, Hyo‐In Choi, Ki‐Chul Sung, Jeonggyu Kang, Mi Yeon Lee, Jong‐Young Lee
      Clinical Cardiology.2022; 45(7): 767.     CrossRef
    • Sex and Gender Determinants of Vascular Disease in the Global Context
      Rubee Dev, Alayne M. Adams, Valeria Raparelli, Colleen M. Norris, Louise Pilote
      Canadian Journal of Cardiology.2022; 38(12): 1799.     CrossRef
    • Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
      Mee Kyoung Kim, Kyungdo Han, Bongsung Kim, Jinyoung Kim, Hyuk-Sang Kwon
      Scientific Reports.2022;[Epub]     CrossRef
    • Dyslipidaemia—Genotype Interactions with Nutrient Intake and Cerebro-Cardiovascular Disease
      Sung-Bum Lee, Ja-Eun Choi, Byoungjin Park, Mi-Yeon Cha, Kyung-Won Hong, Dong-Hyuk Jung
      Biomedicines.2022; 10(7): 1615.     CrossRef
    • Current status of obesity treatment in Korea: based on the 2020 Korean Society for the Study of Obesity guidelines for obesity management
      Eun-Jung Rhee
      Journal of the Korean Medical Association.2022; 65(7): 388.     CrossRef
    • Association between endocrine-disrupting chemical mixture and metabolic indices among children, adolescents, and adults: A population-based study in Korea
      Byungmi Kim, Bohyun Park, Chung Ho Kim, Seyoung Kim, Bomi Park
      Environmental Pollution.2022; 315: 120399.     CrossRef
    • Genetic variation rs1121980 in the fat mass and obesity-associated gene (FTO) is associated with dietary intake in Koreans
      Young Goh, Jeong-Hwa Choi
      Food & Nutrition Research.2022;[Epub]     CrossRef
    • The association between hyperuricemia and cardiovascular disease history: A cross-sectional study using KoGES HEXA data
      Joo-Hee Kim, Mi Jung Kwon, Hyo Geun Choi, Sang Jun Lee, Sung-Woo Kim, Ji Hee Kim, Bong Cheol Kwon, Jung Woo Lee
      Medicine.2022; 101(51): e32338.     CrossRef
    • Association between Endocrine-Disrupting Chemical Mixture and Metabolic Indices Among Children, Adolescents, And Adults: A Population-Based Study in Korea
      Byungmi Kim, Chung Ho Kim, Bohyun Park, Seyoung Kim, Bomi Park
      SSRN Electronic Journal .2022;[Epub]     CrossRef
    • Thirty-six Year Trends in Mortality from Diseases of Circulatory System in Korea
      Jongmin Baek, Hokyou Lee, Hyeok-Hee Lee, Ji Eun Heo, So Mi Jemma Cho, Hyeon Chang Kim
      Korean Circulation Journal.2021; 51(4): 320.     CrossRef
    • Identification of susceptibility loci for cardiovascular disease in adults with hypertension, diabetes, and dyslipidemia
      Youhyun Song, Ja-Eun Choi, Yu-Jin Kwon, Hyuk-Jae Chang, Jung Oh Kim, Da-Hyun Park, Jae-Min Park, Seong-Jin Kim, Ji Won Lee, Kyung-Won Hong
      Journal of Translational Medicine.2021;[Epub]     CrossRef
    • Association of Maintaining Healthy Habits with Clinical Outcomes in Patients with Diabetes, Dyslipidemia or Hypertension
      Jeong Hyeon Kim, Young Ho Yun
      Korean Journal of Family Practice.2021; 11(1): 74.     CrossRef
    • Epidemiology of cardiovascular disease and its risk factors in Korea
      Hyeon Chang Kim
      Global Health & Medicine.2021; 3(3): 134.     CrossRef
    • Cumulative exposure to impaired fasting glucose and future risk of type 2 diabetes mellitus
      Mee Kyoung Kim, Kyungdo Han, Eun Sil Koh, Oak-Kee Hong, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
      Diabetes Research and Clinical Practice.2021; 175: 108799.     CrossRef
    • Association between Diabetes Mellitus and Oral Health Status in Patients with Cardiovascular Diseases: A Nationwide Population-Based Study
      Su-Jin Han, Youn-Jung Son, Bo-Hwan Kim
      International Journal of Environmental Research and Public Health.2021; 18(9): 4889.     CrossRef
    • Comorbidities and Factors Determining Medical Expenses and Length of Stay for Admitted COVID-19 Patients in Korea
      Su Yeon Jang, Jeong-Yeon Seon, Seok-Jun Yoon, So-Youn Park, Seung Heon Lee, In-Hwan Oh
      Risk Management and Healthcare Policy.2021; Volume 14: 2021.     CrossRef
    • Metabolic Syndrome Fact Sheet 2021: Executive Report
      Ji Hye Huh, Dae Ryong Kang, Jang Young Kim, Kwang Kon Koh
      CardioMetabolic Syndrome Journal.2021; 1(2): 125.     CrossRef
    • Effect of Triticum turgidum ssp. turanicum on serum lipid levels and colonic microbiota of dyslipidemia-induced rats
      Hyeon-Ju Seo, Kyoung-Sik Han
      Toxicology and Environmental Health Sciences.2021; 13(3): 195.     CrossRef
    • The Clinical Characteristics of Gestational Diabetes Mellitus in Korea: A National Health Information Database Study
      Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
      Endocrinology and Metabolism.2021; 36(3): 628.     CrossRef
    • Comparison of the Efficacy and Safety of Atorvastatin 40 mg/ω-3 Fatty Acids 4 g Fixed-dose Combination and Atorvastatin 40 mg Monotherapy in Hypertriglyceridemic Patients who Poorly Respond to Atorvastatin 40 mg Monotherapy: An 8-week, Multicenter, Random
      Jong Shin Woo, Soon Jun Hong, Dong Hoon Cha, Kee Sik Kim, Moo Hyun Kim, Jun-Won Lee, Myung Ho Jeong, Jin-Ok Jeong, Jun-Hee Lee, Doo Soo Jeon, Eun Joo Cho, Soon Kil Kim, Jun Kwan, Chang Gyu Park, Hae Young Lee, Taek Jong Hong, Jinho Shin, Ho Joong Youn, Do
      Clinical Therapeutics.2021; 43(8): 1419.     CrossRef
    • Differing Nutrient Intake and Dietary Patterns According to the Presence of Hyper-Low-Density Lipoprotein Cholesterolemia or Hypertriglyceridemia
      Yu-Jin Kwon, Sujee Lee, Hye Sun Lee, Ji-Won Lee
      Nutrients.2021; 13(9): 3008.     CrossRef
    • A Century of Progress in Diabetes Care with Insulin: A History of Innovations and Foundation for the Future
      Seung-Hwan Lee, Kun-Ho Yoon
      Diabetes & Metabolism Journal.2021; 45(5): 629.     CrossRef
    • Frequency of Exposure to Impaired Fasting Glucose and Risk of Mortality and Cardiovascular Outcomes
      Seung-Hwan Lee, Kyungdo Han, Hyuk-Sang Kwon, Mee Kyoung Kim
      Endocrinology and Metabolism.2021; 36(5): 1007.     CrossRef
    • Metabolic risks in living kidney donors in South Korea
      Eunjeong Kang, Jina Park, Hyo Jeong Kim, Sehoon Park, Minsu Park, Yaerim Kim, Kwangsoo Kim, Sang Min Park, Dong-Wan Chae, Ho Jun Chin, Jung Pyo Lee, Sik Lee, Soo Wan Kim, Jang-Hee Cho, Miyeun Han, Yong Chul Kim, Yon Su Kim, Insun Choi, Hajeong Lee
      Kidney Research and Clinical Practice.2021; 40(4): 645.     CrossRef
    • Invited commentary on “Prediction of postoperative mortality and morbidity in octogenarians with gastric cancer - Comparison of P-POSSUM, O-POSSUM, and E-POSSUM: A retrospective single-center cohort study”
      Alessandro M. Paganini, Andrea Balla
      International Journal of Surgery.2020; 78: 22.     CrossRef
    • Association of the Healthy Eating Index with Estimated Cardiovascular Age in Adults from the KNHANES 2013–2017
      Sunmin Park, Kyungjin Kim, Byung-Kook Lee, Jaeouk Ahn
      Nutrients.2020; 12(10): 2912.     CrossRef
    • Anti-Obesity and Antidiabetic Effects of Nelumbinis Semen Powder in High-Fat Diet-Induced Obese C57BL/6 Mice
      Su Bin Hwang, Bog-Hieu Lee
      Nutrients.2020; 12(11): 3576.     CrossRef
    • Inhibitory Effect of Jeju Tea Extracts and Vanadate on Postprandial Hyperglycemia and Hypertension, and In Vitro Study
      Shin Young Park
      The Korean Journal of Clinical Laboratory Science.2020; 52(4): 398.     CrossRef

    Figure

    Endocrinol Metab : Endocrinology and Metabolism