Literature DB >> 22247896

Obesity and metabolic syndrome in Korea.

Sang Woo Oh1.   

Abstract

In Korea, a person with a body mass index (BMI) ≥25 kg/m(2) is considered obese, and a person with a BMI ≥30 kg/m(2) is classified as severely obese. Central obesity is defined as a waist circumference ≥90 cm for Korean men and ≥85 cm for Korean women. Recent epidemiologic data show that the prevalence of severe obesity and metabolic syndrome is steadily increasing. These epidemics increased morbidity and mortality of type 2 diabetes, cardiovascular diseases, and obesity-related cancers such as breast, colorectal, and other cancers in Korea. Decreased physical activity, increased fat and alcohol consumption, heavy smoking, and stress/depressed mood are the primary modifiable life-style risk factors for Koreans. Recently, public health interventions to encourage life-style changes have shown promising results in reducing the prevalence of severe obesity and metabolic syndrome.

Entities:  

Keywords:  Cut-point; Definition; Intervention; Lifestyle; Metabolic syndrome; Obesity; Prevalence; Risk factor

Year:  2011        PMID: 22247896      PMCID: PMC3253964          DOI: 10.4093/dmj.2011.35.6.561

Source DB:  PubMed          Journal:  Diabetes Metab J        ISSN: 2233-6079            Impact factor:   5.376


INTRODUCTION

In recent decades, marked environmental and lifestyle changes have occurred in Korea and led to rapid increases of morbidity and mortality due to type 2 diabetes and cardiovascular diseases [1,2]. Cancer has steadily increased during this period and became the most common cause of death in Korea. Obesity-related cancers such as breast and colorectal cancer are now some of the most widespread cancers in Korea [3]. A large number of Koreans now suffer from metabolic syndrome (MS) and obesity, and control of these is one of the main targets of public health intervention [4,5]. This review focuses on these recent epidemics in detail, presenting their risk factors and related comorbidities.

DEFINING OBESITY AND METABOLIC SYNDROME IN KOREA

International Obesity Task Force (IOTF) and the World Health Organization (WHO) Regional Office for the Western Pacific Region recommend defining obesity in Asians as those with a BMI ≥25 kg/m2 [6]. The Korean Society for the Study of Obesity (KSSO) adopted this definition and now the Korea Centers for Disease Control and Prevention (CDC) and other government organizations officially use this definition when calculating the prevalence of obesity in Korea. Koreans with a BMI ≥30 kg/m2 are classified as severely obese. There are various anthropometric measures used in clinical practice for defining obesity, such as waist circumference (WC), waist-hip ratio (WHR), body impedance analyzer (BIA), dual-emission X-ray absorptiometry (DEXA), and computed tomography (CT). Determining which anthropometric measurement is the best indicator of obesity-related complications for Koreans is an important issue when defining obesity. We compared these measures using representative samples of Koreans (the Korea National Health and Nutritional Examination Survey [KNHANES] 2008-2009). The outcome variable of this analysis was set as having more than two components of MS, except WC. Total body fat percentage (TBFP) was measured by DEXA. When comparing the area under curves (AUC) of receiver operating characteristic (ROC) analyses, the order of predictive capacity for men (aged ≥19 years, n=1,424) is WC (AUC=0.719)>BMI (0.680)>TBFP (0.669). The order of predictive capacity for women (aged ≥19 years, n=1,965) is WC (AUC=0.753)>BMI (0.711) >TBFP (0.654). There are no representative data for visceral fat area (VFA) in Koreans, so data were gathered from hospital-based sampling and the same analysis was performed (n=238, both men and women). The order of predictive capacity was VFA (0.821)≥WC (0.791)>BMI (0.736)>TBFP (0.651, measured by BIA). These results show that, in Korean men and women, WC has a higher AUC value and is significantly more predictable than other anthropometric measurements. Similar results were observed for one or more and three or more components. Currently, there is no consensus on a universal definition for central obesity. Various academic societies recommend using ethnicity-specific definitions. The U.S. National Heart, Lung, and Blood Institute (NHLBI) recommends cut-off points of ≥102 and ≥88 cm for men and women in the United States. The International Diabetes Federation (IDF) adapted cut-off points of ≥94 and ≥80 cm for European men and women. China, Hong Kong, and some other Asian countries propose cut-off points of ≥90 and ≥80 cm for central obesity. However, Japanese researchers recommend cut-off points of ≥85 cm for Japanese men and ≥90 cm for Japanese women based on VFA measurements. In addition, more recent study results from Asian researchers suggest yet another cut-off point for their own countries (Table 1). An Asian collaboration study with 155,122 subjects (86% Asian; 52% female) from ten countries indicated that the optimal cut-off point for predicting type 2 diabetes for Asians is ≥85 cm for men and ≥80 cm for women [7]. Our research group analyzed cohort and representative cross-sectional data in Korea. Various methods were used for exploring an optimal cut-off point for central obesity. Based on this review, it appears that the optimal cut-off points for central obesity are ≥85 cm for men and ≥80 cm for women, and that the optimal difference between genders is 5 cm [8]. Using this criterion, the prevalence of central obesity is 47% in men and 41.3% in women (based on an analyses of KNHANES 2008 data). This criterion indicates that approximately one of every two Koreans has central obesity. Because of the possibility of unnecessary burdens from this high prevalence, KSSO recommended cut-off points of ≥90 cm for men and ≥85 cm for women [9].
Table 1

Proposed cut-off points for defining central obesity, as suggested by various Asian researchers

The IDF [10] and the American Heart Association (AHA)/NHLBI [11] propose similar clinical definitions of MS except that, according to the IDF, abdominal obesity is a prerequisite for the diagnosis of metabolic syndrome. This single difference has evoked some confusion. In Korea, there is no need to use different WC cut-off points based on the IDF and revised National Cholesterol Education Program (NCEP) criteria. Therefore, all metabolic syndrome patients who meet the IDF criteria also meet the revised NCEP criteria, but not vice versa. The discrepant cases that satisfy the revised NCEP criteria but not the IDF criteria are classified as the Metabolically Obese Normal Waist Circumference group. This discrepant group has significantly more adverse metabolic profiles than the MS-free group. It was also found that some metabolic profiles in the discrepant group were more adverse than those with MS satisfying both sets of criteria. From these reasons, when calculating the prevalence of MS in Korea, the revised NCEP definition is preferred to the IDF definition [12].

CHANGES IN THE PREVALENCE OF OBESITY AND METABOLIC SYNDROME IN KOREA

From 1998 to 2005 there was a significant increase in the number of obese patients, as defined by those with a BMI ≥25 kg/m2 (Table 2). There was an annual increase of approximately 1% during this period. However, recent KNHANES data show that the prevalence of obesity has recently stopped increasing, and that there is a decreasing tendency in women. The prevalence of abdominal obesity shows similar trends.
Table 2

Changes in the prevalence of obesity and metabolic syndrome in Korea

KNHANES, Korea National Health and Nutritional Examination Survey; BMI, body mass index.

aThe prevalence of metabolic syndrome was calculated using only 2007-2008 KNHANES data because 2009 KNHANES blood pressure data was not yet released.

The prevalence of severe obesity (BMI ≥30 kg/m2) has been steadily increasing, particularly in the younger generation (Fig. 1). This may be explained by the fact that fast food restaurants have been quickly gaining popularity in Korea since the mid-1980s, selling unhealthy foods such as hamburgers, fried chicken, and pizza. In addition, market dissemination of the automobile greatly increased during the same period. The children and adolescents of that time are now adults in their 20s and 30s. This paper proposes that the dramatic increase in fast food consumption and automobile use are two of the most important factors contributing to the recent severe obesity epidemic in younger generations.
Fig. 1

Distribution of the prevalence of severe obesity by age group.

Under the definition of the revised NCEP, the prevalence of MS in Korea is above 30% and rapidly increasing.

OBESITY-RELATED COMORBIDITIES

We demonstrated that obesity is closely related to type 2 diabetes, hypertension, and hypercholesterolemia in Koreans using 812,251 data with eight years of follow-up [4]. Other Korean researchers have demonstrated a clear dose-dependent relationship between obesity, ischemic heart disease [13] and stroke [14]. During recent decades, there has been a marked increase of colorectal, breast, renal cell, thyroid, and prostate cancer in Korea, all of which are proven to be associated with obesity in Koreans [15]. Less than 20 years ago, these obesity related-cancers were uncommon and the most prevalent cancers in Korea were gastric, lung, and cervical cancers. Recently, the prevalence of these obesity-related cancers has rapidly increased, which has also impacted public health care costs in Korea. All-cause mortality shows a U-shaped relationship with BMI in Korean men and women [4]. This curve is similar to those from western societies. Subjects who never smoked had a stronger dose-dependent relationship with BMI.

RISK FACTORS FOR OBESITY AND METABOLIC SYNDROME, AND LIFE-STYLE INTERVENTION IN KOREA

Smoking can reduce body weight and quitting smoking may increase body fat. However, we demonstrated that smoking increases risks of central obesity and metabolic syndrome in Koreans [16]. Increased alcohol intake among Koreans is associated with increased risk of central obesity and metabolic syndrome and its components (except high density lipoprotein cholesterol) [17]. Although stress might be classified as a risk factor for obesity and metabolic syndrome, it is difficult to prove this association because there is no established tool for measuring stress in Koreans. However, a depressive mood is associated with visceral adipose tissue and not with subcutaneous adipose tissue in overweight premenopausal women [18]. During recent decades there has been a marked increase in fat consumption, especially in younger Koreans [19], as well as a decrease in physical activity. Recently, the Korean government and the Korean National Assembly have passed laws related to the promotion of health and disease preventions. The Korean Ministry of Health constructed the Health Plan 2020 with the primary goal of obesity prevention. These laws and the Health Plan 2020 include life-style interventions, food safety, and public education about healthy eating behaviors and physical activity. Seoul is the capital of Korea, with a population greater than ten million. Seoul recently started a well-organized program for preventing MS in its citizens. Medical check-ups focused on diagnosing MS are offered free of charge. If any medical risks are detected, life-style interventions are also offered free of charge, with the goal of reducing the following five risk factors: smoking, alcohol, unhealthy nutrition, physical inactivity, and stress. Because this project just began two years ago, it is not yet clear if the program is effective, although data collected thus far shows promising results [5].

CONCLUSION

The prevalence of severe obesity (BMI ≥30 kg/m2) and metabolic syndrome is rapidly increasing in Korea. These epidemics have resulted in increased type 2 diabetes, coronary heart disease, and breast, colorectal, and other cancers in Korea. All-cause mortality showed a U-shaped association with BMI, which is similar to results of studies conducted in Western countries. Public interventions were recently initiated, focusing on life-style changes.
  25 in total

1.  A proposal for the cutoff point of waist circumference for the diagnosis of metabolic syndrome in the Japanese population.

Authors:  Kazuo Hara; Yumi Matsushita; Momoko Horikoshi; Nobuo Yoshiike; Tetsuji Yokoyama; Heizo Tanaka; Takashi Kadowaki
Journal:  Diabetes Care       Date:  2006-05       Impact factor: 19.112

2.  Waist circumference thresholds provide an accurate and widely applicable method for the discrimination of diabetes.

Authors:  Rachel Huxley; Federica Barzi; Crystal M Y Lee; Scott Lear; Jonathan Shaw; Tai Hing Lam; Ian Caterson; Fereidoun Azizi; Jeetesh Patel; Paibul Suriyawongpaisal; Sang Woo Oh; Jae-Heon Kang; Tim Gill; Paul Zimmet; Philip T James; Mark Woodward
Journal:  Diabetes Care       Date:  2007-09-05       Impact factor: 19.112

3.  Appropriate waist circumference cutoff points for central obesity in Korean adults.

Authors:  Sang Yeoup Lee; Hye Soon Park; Dae Jung Kim; Jee Hye Han; Seon Mee Kim; Guem Joo Cho; Dae Young Kim; Hyuk Sang Kwon; Sung Rae Kim; Chang Beom Lee; Seung Joon Oh; Cheol Young Park; Hyung Joon Yoo
Journal:  Diabetes Res Clin Pract       Date:  2006-06-02       Impact factor: 5.602

Review 4.  Epidemic obesity and type 2 diabetes in Asia.

Authors:  Kun-Ho Yoon; Jin-Hee Lee; Ji-Won Kim; Jae Hyoung Cho; Yoon-Hee Choi; Seung-Hyun Ko; Paul Zimmet; Ho-Young Son
Journal:  Lancet       Date:  2006-11-11       Impact factor: 79.321

5.  Prevalence of obesity and metabolic syndrome in Korean adults.

Authors:  H S Park; C Y Park; S W Oh; H J Yoo
Journal:  Obes Rev       Date:  2007-11-06       Impact factor: 9.213

6.  Optimal waist circumference cutoff value reflecting insulin resistance as a diagnostic criterion of metabolic syndrome in a nondiabetic Korean population aged 40 years and over: the Chungju Metabolic Disease Cohort (CMC) study.

Authors:  Yong-Moon Park; Hyuk-Sang Kwon; Sun Young Lim; Jin-Hee Lee; Kun-Ho Yoon; Ho-Young Son; Hyeon Woo Yim; Won-Chul Lee
Journal:  Yonsei Med J       Date:  2010-07       Impact factor: 2.759

7.  Body mass index and ischemic and hemorrhagic stroke: a prospective study in Korean men.

Authors:  Yun-Mi Song; Joohon Sung; George Davey Smith; Shah Ebrahim
Journal:  Stroke       Date:  2004-03-04       Impact factor: 7.914

8.  Relationships between indices of obesity and its cardiovascular comorbidities in a Chinese population.

Authors:  Rui Li; Wei Lu; Jian Jia; Shengnian Zhang; Liang Shi; Yanyun Li; Qundi Yang; Haidong Kan
Journal:  Circ J       Date:  2008-06       Impact factor: 2.993

9.  Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan.

Authors:  W-Y Lin; L-T Lee; C-Y Chen; H Lo; H-H Hsia; I-L Liu; R-S Lin; W-Y Shau; K-C Huang
Journal:  Int J Obes Relat Metab Disord       Date:  2002-09

10.  Alcohol consumption and the metabolic syndrome in Korean adults: the 1998 Korean National Health and Nutrition Examination Survey.

Authors:  Yeong Sook Yoon; Sang Woo Oh; Hyun Wook Baik; Hye Soon Park; Wha Young Kim
Journal:  Am J Clin Nutr       Date:  2004-07       Impact factor: 7.045

View more
  116 in total

Review 1.  Impact of being overweight on the surgical outcomes of patients with gastric cancer: a meta-analysis.

Authors:  Xiang-Song Wu; Wen-Guang Wu; Mao-Lan Li; Jia-Hua Yang; Qi-Chen Ding; Lin Zhang; Jia-Sheng Mu; Jun Gu; Ping Dong; Jian-Hua Lu; Ying-Bin Liu
Journal:  World J Gastroenterol       Date:  2013-07-28       Impact factor: 5.742

2.  Relationship between body fat and diabetic retinopathy in patients with type 2 diabetes: a nationwide survey in Korea.

Authors:  In Cheol Hwang; Jeong Hun Bae; Joon Mo Kim
Journal:  Eye (Lond)       Date:  2019-02-13       Impact factor: 3.775

3.  Aromatase Inhibitors and Newly Developed Nonalcoholic Fatty Liver Disease in Postmenopausal Patients with Early Breast Cancer: A Propensity Score-Matched Cohort Study.

Authors:  Jung Il Lee; Jung-Hwan Yu; Sung Gwe Anh; Hyun Woong Lee; Joon Jeong; Kwan Sik Lee
Journal:  Oncologist       Date:  2019-01-24

4.  Influence of occupation on lumbar spine degeneration in men: the Korean National Health and Nutrition Examination Survey 2010-2013.

Authors:  Seoyon Yang; Won Kim; Kyoung Hyo Choi; You Gyung Yi
Journal:  Int Arch Occup Environ Health       Date:  2016-09-09       Impact factor: 3.015

5.  Metabolic syndrome and its components among Korean submariners: a retrospective cross-sectional study.

Authors:  Jihun Kang; Yun-Mi Song
Journal:  Endocrine       Date:  2018-01-16       Impact factor: 3.633

6.  Positive Association Between Helicobacter pylori Infection and Metabolic Syndrome in a Korean Population: A Multicenter Nationwide Study.

Authors:  Seon Hee Lim; Nayoung Kim; Jin Won Kwon; Sung Eun Kim; Gwang Ho Baik; Ju Yup Lee; Kyung Sik Park; Jeong Eun Shin; Hyun Joo Song; Dae-Seong Myung; Suck Chei Choi; Hyun Jin Kim; Joo Hyun Lim; Jeong Yoon Yim; Joo Sung Kim
Journal:  Dig Dis Sci       Date:  2019-03-09       Impact factor: 3.199

7.  The risk of chronic kidney disease in a metabolically healthy obese population.

Authors:  Chang Hee Jung; Min Jung Lee; Yu Mi Kang; Jenie Y Hwang; Eun Hee Kim; Joong-Yeol Park; Hong-Kyu Kim; Woo Je Lee
Journal:  Kidney Int       Date:  2015-06-24       Impact factor: 10.612

8.  Can body mass index predict survival outcomes in patients treated with radical nephroureterectomy for upper-tract urothelial carcinoma?

Authors:  Hyung Suk Kim; Chang Wook Jeong; Cheol Kwak; Hyeon Hoe Kim; Ja Hyeon Ku
Journal:  Int Urol Nephrol       Date:  2015-07-03       Impact factor: 2.370

9.  Obesity, metabolic abnormality, and health-related quality of life by gender: a cross-sectional study in Korean adults.

Authors:  Youngran Yang; Jerald R Herting; Jongsan Choi
Journal:  Qual Life Res       Date:  2015-11-28       Impact factor: 4.147

10.  Postoperative Body Mass Index Changes in Gastric Cancer Patients according to Reconstruction Type: Effectiveness of Long Jejunal Bypass on Weight Loss in Obese Patients after Distal Gastrectomy.

Authors:  Ji Won Kim; So Young Jung; Ji Woong Cho; Byung Chun Kim; Kyung Suk Chung; Dae Hyun Yang
Journal:  Indian J Surg       Date:  2012-07-08       Impact factor: 0.656

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.