INTRODUCTION
Non-communicable diseases (NCDs), such as cardiocerebrovascular diseases, cancer, chronic respiratory diseases, and diabetes, are caused by environmental risk factors and poor lifestyles [
1]. In 2016, 41 million people, accounting for 70% of the world’s deaths, died due to NCDs. Among the NCDs, cardiocerebrovascular diseases (17.9 million), cancer (9 million), chronic respiratory diseases (3.8 million), and diabetes (1.6 million) were the most prevalent causes of death [
2]. The World Health Organization (WHO) established the ‘WHO Global NCD Action Plan 2013-2020’ to achieve the global target of a 25% relative reduction in the risk of premature mortality from NCDs and urged countries to establish public health policies and monitor the process indicators toward these national targets accordingly [
3]. In Korea, the top 10 causes of death, accounting for 69.1% of total deaths, are malignant neoplasms, heart disease pneumonia, cerebrovascular diseases, intentional self-harm, diabetes, liver diseases, chronic lower respiratory diseases, Alzheimer’s disease, and hypertensive diseases, with chronic diseases being strong contributors [
4]. Therefore, for the intensive management of the four chronic diseases (cardiocerebrovascular diseases, diabetes, chronic respiratory diseases, and cancer), the Health Plan 2020 (HP2020) established targets to reduce the prevalence of hypertension, diabetes, hypercholesterolemia, and obesity and improve the management of these diseases. The Korea National Health and Nutrition Examination Survey (KNHANES) monitored the progress toward attainment of the HP2020 goals [
5].
This study analyzed trends in the prevalence and management of obesity, hypertension, diabetes, and hypercholesterolemia in Korean adults using data from the KNHANES from 1998 to 2018.
MATERIALS AND METHODS
Subjects
The KNHANES was conducted to assess the health and nutritional status in the Korean population [
6]. This survey uses a two-stage stratified cluster sampling method to select approximately 200 primary sampling units (PSUs) consisting of 20-23 households per PSU. All members aged ≥ 1 year within the sampled households are eligible for the survey.
Individuals aged ≥ 30 years who participated in the health examination and health interview of the KNHANES were included in the analysis. Participants with a fasting time of < 8 hours (n=4,343) and pregnant women (n=303) were excluded in the hypercholesterolemia and obesity statistics analysis, respectively.
Health examination
The health examinations in the first (1998), second (2001), third (2005), and fourth (2007) KNHANES were conducted at a center located close to the survey district. From 2008, health examinations were conducted in the mobile examination center (MEC) by trained medical personnel from the Korea Disease Control and Prevention Agency (KDCA, formerly Korea Centers for Disease Control and Prevention). The height to the nearest 0.1 cm was measured using wall-mounted stadiometers (SECA 225; Seca GmbH, Hamburg, Germany), and weight to the nearest 0.1 kg was measured using a portable electronic scale. Blood pressure was measured three times on the right arm of the subject in a sitting position after 5 minutes of rest using a mercury sphygmomanometer (Baumanometer; Baum, Copiague, NY, USA) by a trained nurse (measured twice and averaged in 1998 and 2001, measured thrice and averaged the second and third measurements from 2005). Blood pressure and body measurements were performed for quality assurance and control in academic societies [
7,
8].
To calculate the prevalence of diabetes and hypercholesterolemia, the blood was collected from each participant in the morning after fasting for at least 8 hours. After blood collection, processing, storing in MEC, all specimens were shipped to the clinical laboratory at 2-8°C on the survey day for analysis.
The equipment and reagents for analyzing blood glucose and cholesterol were changed due to a change of laboratory in 2005 and 2008, and the blood collection tubes for blood glucose measurement were switched from sodium fluoride tube to serum separating tube in 2014 [
9]. From 2008, total cholesterol and fasting blood glucose were analyzed by the enzymatic method (Hitachi Automatic Analyzer 7600; Hitachi, Tokyo, Japan) and hemoglobin Alc were analyzed using high-performance liquid chromatography (Tosoh G8; Tosoh, Tokyo, Japan). From 2005, the quality control of laboratory testing was conducted in the Korean Society for Laboratory Medicine [
10]. The history of diagnosis and medication were investigated through interviews.
Definition of chronic disease prevalence and management indicators
Body mass index (BMI) was calculated using height and weight, and BMI ≥ 25 kg/m
2 was classified as obesity according to the Korean Society for the Study of Obesity [
11]. According to the Korean Society of Hypertension, hypertension was defined as systolic blood pressure ≥ 140 mmHg, diastolic blood pressure ≥ 90 mmHg, or taking antihypertensive medication [
12]. Based on the Korean Diabetes Association, diabetes was defined as fasting blood glucose ≥ 126 mg/dL or diagnosis of diabetes by a physician or taking hypoglycemic drugs or usage of insulin [
13]. Based on the standards of the Korean Society of Lipid and Atherosclerosis, hypercholesterolemia was defined as total cholesterol of ≥ 240 mg/dL or taking cholesterol-lowering drugs [
14].
Regarding the prevalence and management indicators for diabetes and hypercholesterolemia, in the 1998 and 2001, it was difficult to reconfirm the fasting time before blood collection and hemoglobin Alc, and there were no questions asked on the taking hypercholesterolemia medications; therefore, these data were included from 2005.
The awareness rate of hypertension, diabetes, and hypercholesterolemia was defined as having had a lifetime diagnosis by a physician, and the treatment rate was defined as currently taking medication among participants who were defined as having hypertension, diabetes, or hypercholesterolemia. The control rate was defined as reaching of the goals among those receiving treatment (hypertension: systolic blood pressure < 140 mmHg, diastolic blood pressure < 90 mmHg, diabetes: hemoglobin Alc < 6.5%, hypercholesterolemia: blood cholesterol < 200 mg/dL).
Statistical analysis
All analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA) and Joinpoint Regression Program version 4.1.1.1 (US National Cancer Institute, Bethesda, MD, USA). To represent the Korean population, sampling weights assigned to participants were applied to all analyses. Sampling weights were generated by considering the complex sample design, the non-response rate of the target population, and post-stratification. To adjust for differences in the results of changes in the age structure of each year, age-standardized prevalence was calculated using age-specific and gender-specific structures of the estimated population based on the 2005 Population Projections for Korea.
Trends in the prevalence of obesity, hypertension, diabetes, and hypercholesterolemia according to gender and household income level were age standardized using SAS (PROC SURVEYREG). The prevalence according to age and management indicators were crude rates and were calculated using SAS (PROC SURVEYMEANS). Data on management indicators were combined as 3-year data to obtain an acceptable level of reliability. The estimates and their standard errors obtained from SAS were input into Joinpoint program, which was estimated by setting the Joinpoint as 0 or 1, and the APC was calculated accordingly. The APC verified that the annual rate of change was “0” under a significance level of 0.05, and the Monte Carlo method in Joinpoint Regression Program was used to test the statistical significance of the optimal model.
Ethics statement
This study was approved by the Institutional Review Board of the KDCA (2007-2014, 2018). For certain year (2015-2017), ethical approval was waived by the Act (Article 2, Paragraph 1) and Enforcement Regulation (Article 2, Paragraph 2, item 1) of Bioethics and Safety Act.
DISCUSSION
Analyses of the 20-year trend in the prevalence and management of metabolic risk factors for cardiocerebrovascular disease using the KNHANES data revealed an increase in the prevalence of obesity, diabetes, and hypercholesterolemia. Further, the awareness, treatment, and control rates of hypertension and hypercholesterolemia had all improved, only the treatment rate of diabetes had improved (
Table 4).
The prevalence of obesity (age-standardized, aged ≥ 30 years) in men markedly increased in all age groups over 20 years (26.8% in 1998, 44.7% in 2018, APC=1.9) and that in women slightly decreased (30.5% in 1998, 28.3% in 2018, APC=-0.5). Hence, the HP2020 goals of 37.0% in men and 27.0% in women were not achieved. Because the obesity criteria are different for each country, BMI ≥ 25 kg/m
2 and aged ≥ 20 years were used for comparison between the countries in this study. The prevalence of obesity in Korea (age-standardized, aged ≥ 19 years in 2018) was 42.8% in men and 25.5% in women, which was half of that in the United States (age-standardized, aged ≥ 20 years in 2013-2016; 74.6% in men and 67.4% in women) [
16]. However, the prevalence of obesity in Korea was higher than that in Japan (age-standardized, aged ≥ 20 years in 2018; 31.6% in men and 19.6% in women) [
17]. It is concerning that the prevalence of obesity in men continues to increase, with a prevalence of 50% in the 30s and 40s age groups and that the prevalence of obesity in women in their 20s and 30s is increasing. Considering that obesity is a strong risk factor for chronic diseases, it is necessary to actively promote the guidelines for the management of obesity established in 2018 in Korea through network of collaborating in various fields, such as nutrition, physical activity, and healthcare.
The prevalence of hypertension (age-standardized, aged ≥ 30 years) in men did not change significantly over 20 years, with a prevalence of 33.2% in 2018, whereas that in women slightly decreased to 23.1% in 2018, which is above the HP2020 goal of 23.0%. The prevalence of hypertension in Korea (age-standardized, aged ≥ 19 years in 2018) was 27.6% in men and 18.3% in women, which was lower than that in the United States (age standardized, aged ≥ 20 years in 2015-2016; 31.3% in men and 28.7% in women) and similar to that in Japan (age-standardized, aged ≥ 20 years in 2018; 28.0% in men and 19.0% in women) [
16,
17]. The prevalence of hypertension did not significantly increase compared to that of other chronic diseases. Despite worsening of obesity and physical activity being major risk factors [
18], policies promoted after 1999 (Healthy Lifestyle Practice [1999], National Chronic Diseases Management [2000], and Regional Cardiocerebrovascular Disease Center [2005]) resulted in increased awareness regarding the importance of blood pressure management and lifestyle improvement, leading to early detection of hypertension and increased treatment [
19-
21]. However, despite follow-up interventions, such as customized home visiting health care service (2007), registration and management of patients with hypertension or diabetes (2007), national health check-up by life cycle (2007), follow-up management on health check-up (2008), chronic disease management in the clinic (2012), and sodium reduction (2012), management indicators have not changed since 2007. This may be related to individuals in their 30s and 40s who are maintaining a low rate of awareness and treatment rates compared to other age groups, and it has been suggested that an interest in hypertension and encouraging periodic health check-ups are required to improve management indicators in these age groups [
22].
The prevalence of diabetes (age-standardized, aged ≥ 30 years) in men slightly increased from 10.5% in 2005 to 12.9% in 2018, whereas that in women remained at 8%, with no significant changes. Hence, the HP2020 goal of 9.7% was not achieved. The prevalence of impaired fasting glucose, the intermediate stage for cardiocerebrovascular diseases, was 33.2% in men and 23.4% in women in 2018, which was 2-3 times higher than that of diabetes. In the United States and Finland, diabetes prevention programs are provided as lifestyle modification programs to prevent pre-diabetes, such as impaired fasting glucose or impaired glucose tolerance [
23,
24]. In Korea, considering the status and trend of pre-diabetes, it is necessary to not only manage diabetes but also actively promote preventive programs to avoid the transition from pre-diabetes to diabetes.
The prevalence of hypercholesterolemia (age-standardized, aged ≥ 30 years) in 2018 was 20.9% in men and 21.4% in women, and it did not meet the HP2020 goal of 13.5%. The reason why the prevalence of hypercholesterolemia among 30s and 40s age groups is approximately twice as high in men (15.1 and 22.9%, respectively, in 2018) as that in women (9.2 and 10.5%, respectively, in 2018) may be related to the high smoking rate in men in their 30s and 40s (39.9 and 44.1%), which is a major risk factor for hypercholesterolemia [
15,
25]. Furthermore, men in these age groups had a higher proportion of excessive energy and fat intake than those in other groups (10.6 and 9.6% in men; 5.8 and 4.7% in women) and they had a lower proportion of healthy eating practices (36.3 and 37.4% in men; 52.1 and 55.6% in women) than those in other groups [
15]. Among participants in the ≥ 50s age groups, the prevalence of hypercholesterolemia was higher in women than in men, possibly because of the effect of hormonal changes due to menopausal status on blood cholesterol metabolism in the body [
26].
When comparing the prevalence of chronic diseases according to gender and age, the prevalence of obesity in men was the highest in those in their 30s, and the prevalence of diabetes and hypercholesterolemia rapidly increased from 40 years of age. Men in their 30s and 40s have a high proportion of excessive energy and fat intake (10.6 and 9.6%) and binge drinking (55.9 and 59.3%), and have low rate of aerobic physical activity (55.3 and 48.8%) [
15], which may have affected the increase in the prevalence of diabetes and hypercholesterolemia in men aged ≥ 40 years. In a study analyzing the effects of age, period, and cohort based on the KNHANES data [
27], the prevalence of obesity and hypercholesterolemia tended to increase in birth cohorts after the 1970s. The cohort born in the 1970s was in their 40s in 2018. Hence, with increasing age, the prevalence of chronic diseases, such as obesity and hypercholesterolemia, is expected to increase in this group.
The management of chronic diseases improved overall, but the control rate of diabetes remained at 25%, with no significant change, and was lower than that of other chronic diseases. In this regard, an increase in the elderly population, an increase in the duration of the disease, low adherence to a healthy lifestyle, and low compliance to diabetes medication could be related factors for this occurrence [
28-
30]. The awareness rate of all chronic diseases was low in the 30s and 40s age groups, suggesting that a program to raise the awareness rate in the young age groups and create a healthy lifestyle ahead of onset of chronic disease. In addition, the difference in the prevalence of chronic diseases between the high-income and low-income groups in women increased during the 20-year period (15.4%p for obesity [-2.1%p in 1998 and -17.5%p in 2018], 5.8%p for hypertension [-2.7%p in 1998 and -8.5%p in 2018], and 6.7%p for diabetes [1.3%p in 2005 and -5.4%p in 2018]), thus supporting the need for programs to reduce the health gap.
According to the KNHANES data, the prevalence of obesity and hypercholesterolemia has increased over the past 20 years, and trends in the management of hypertension, hypercholesterolemia, and diabetes flattened in recent years. In the future, policies should be promoted to decrease the prevalence of chronic diseases, reduce health disparities, and improve chronic disease management indicators.