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http://dx.doi.org/10.5392/JKCA.2021.21.08.662

Metabolic Syndrome Prediction Model for Koreans in Recent 20 Years: A Systematic review  

Seong, Daikyung (한국한의학연구원)
Jeong, Kyoungsik (한국한의학연구원)
Lee, Siwoo (한국한의학연구원)
Baek, Younghwa (한국한의학연구원)
Publication Information
The Journal of the Korea Contents Association / v.21, no.8, 2021 , pp. 662-674 More about this Journal
Abstract
Metabolic syndrome is closely associated with cardiovascular disease, there is increasing attentions in prevention of metabolic syndrome through prediction. The aim of this study was to systematically review the literature by collecting, analyzing, and synthesizing articles of predicting metabolic syndrome in Koreans. For systemic review, data search was conducted on Global journals Pubmed, WoS and domestic journals DBPia, KISS published in 2011-2020 year. Three keyword 'Metabolic syndrome', 'predict', and 'korea' were used for searching under AND condition. Total 560 articles were searched and the final 22 articles were selected according to the data selection criteria. The most useful variable was WHtR(AUC=0.897), most frequently used analysis method was logistic regression(63.6%), and most accurate analysis method was XGBOOST(AUC=0.879) for predicting metabolic syndrome. Prediction accuracy was slightly improved when sasang constitution types was used. Based on the results of this study, it is believed that various large-scale longitudinal studies for the prediction and management of the Metabolic syndrome in Korean should be followed in the future.
Keywords
Metabolic Syndrome; Predict; Factor; Korean;
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1 S. B. Hong and K. A. Shin, "Significance of Non HDL-cholesterol and Triglyceride to HDL-cholesterol Ratio as Predictors for Metabolic Syndrome among Korean Elderly," The Korean Journal of Clinical Laboratory Science, Vol.50, No.3, pp.245-252, 2018.   DOI
2 H. S. Yang, M. Hur, H. Kim, S. J. Kim, S. Shin, S. Di Somma, and G. Network, "HDL Subclass Analysis in Predicting Metabolic Syndrome in Koreans With High HDL Cholesterol Levels," Ann Lab Med, Vol.40, No.4, pp.297-305, 2020.   DOI
3 S. Lee, S. K. Lee, J. Y. Kim, N. Cho, and C. Shin, "Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study," BMC Complement Altern Med, Vol.17, No.1, p.438, 2017.   DOI
4 K. R. Park and Y. C. Cho, "Prevalence Rates of Risk Factors of Metabolic Syndrome, and Its Related with Obesity Indices Among the Health Checkup Examinees," Journal of the Korea Academia-Industrial cooperation Society, Vol.17, No.3, pp.153-162, 2016.   DOI
5 Y. H. Oh, J. H. Moon, H. J. Kim, and M. H. Kong, "Visceral-to-subcutaneous fat ratio as a predictor of the multiple metabolic risk factors for subjects with normal waist circumference in Korea," Diabetes Metab Syndr Obes, Vol.10, pp.505-511, 2017.   DOI
6 D. Yadav, E. Choi, S. V. Ahn, S. K. Baik, Y. Z. Cho, S. B. Koh, J. H. Huh, Y. Chang, K. C. Sung, and J. Y. Kim, "Incremental Predictive Value of Serum AST-to-ALT Ratio for Incident Metabolic Syndrome: The ARIRANG Study," PLoS One, Vol.11, No.8, p.e0161304, 2016.   DOI
7 S. Rico-Martin, J. F. Calderon-Garcia, P. Sanchez-Rey, C. Franco-Antonio, M. Martinez Alvarez, and J. F. Sanchez Munoz-Torrero "Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis," Obesity Reviews, Vol.21, No.7, p.e13023, 2020.   DOI
8 K. H. Song, S. G. Yu, and J. Y. Kim, "Prevalence of Metabolic Syndrome according to Sasang Constitutional Medicine in Korean Subjects," Evidence-Based Complementary and Alternative Medicine Vol.2012, pp.646-794, 2012.
9 A. Lee, Y. J. Kim, S. W. Oh, C. M. Lee, H. C. Choi, H. K. Joh, B. Oh, S. S. Hwang, S. J. Kim, and O. D. Kwon, "Cut-Off Values for Visceral Fat Area Identifying Korean Adults at Risk for Metabolic Syndrome," Korean J Fam Med, Vol.39, No.4, pp.239-246, 2018.   DOI
10 D. Yadav, E. S. Lee, H. M. Kim, E. Choi, E. Y. Lee, J. S. Lim, S. V. Ahn, S. B. Koh, and C. H. Chung, "Prospective study of serum uric acid levels and incident metabolic syndrome in a Korean rural cohort," Atherosclerosis, Vol.241, No.1, pp.271-277, 2015.   DOI
11 Y. G. Seo, H. J. Song, and Y. R. Song, "Fat-to-muscle ratio as a predictor of insulin resistance and metabolic syndrome in Korean adults," J Cachexia Sarcopenia Muscle, Vol.11, No.3, pp.710-725, 2020.   DOI
12 J. E. Park, S. Mun, and S. Lee, "Metabolic Syndrome Prediction Models Using Machine Learning and Sasang Constitution Type," Evidence-Based Complementary and Alternative Medicine, Vol.2021, 2021.
13 J. S. Yu, Y. Baek, D. Hyun, and S. J. Chang "Customized BMI and waist circumference cut-off values are needed to identify metabolic syndrome among South Koreans according to their Sasang constitutional type," The Journal of Korean Medicine, Vol.39, No.4, pp.51-61, 2018.   DOI
14 D. Moher, A. Liberati, J. Tetzlaff, D. G. Altman, and The PRISMA Group, "Preferred reporting items for systematic reviews and meta-analyses: the prisma statement," J Clin Epidemiol, Vol.62, pp.1006-1012, 2009.   DOI
15 B. J. Lee and J. Y. Kim "Identification of metabolic syndrome using phenotypes consisting of triglyceride levels with anthropometric indices in Korean adults," BMC Endocr Disord, Vol.20, No.1, p.29, 2020.   DOI
16 S. A. Ye, Y. Ko, B. H. Jang, T. Y. Park, Y. Baek, B. K. Kang, and Y. K. Song, "The Study on Availability as a Predictor of Waist-to-Height Ratio for Metabolic Syndrome Diagnosis in Koreans," Journal of Korean Medicine for Obesity Research, Vol.17, No.2, pp.127-132, 2017.   DOI
17 E. Jang, Y. Baek, K. Park, and S. Lee, "The sasang constitution as an independent risk factor for metabolic syndrome: propensity matching analysis," Evidence-Based Complementary and Alternative Medicine, Vol.2013, pp.1-6, 2013.
18 김수영, 이윤재, 서현주, 박지은, 임상연구 문헌 분류도구 및 비뚤임위험 평가도구 개정, 건강보험심사평가원, 2013,
19 K. G. M. M. Alberti, Robert H. Eckel, Scott M. Grundy, Paul Z. Zimmet, James I. Cleeman, Karen A. Donato, Jean-Charles Fruchart, W Philip T. James, Catherine M. Loria, and Sidney C. Smith, "Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity," Circulation : Journal of the American Heart Association., Vol.120, No.16, pp.1640-1645, 2009.   DOI
20 S. Lee, H. Lee, J. R. Choi, and S. B. Koh, "Development and Validation of Prediction Model for Risk Reduction of Metabolic Syndrome by Body Weight Control: A Prospective Population-based Study," Sci Rep, Vol.10, No.1, p.10006, 2020.   DOI
21 J. P. Narvaez, M. Guillen, and M. Alcaniz, "Predicting Motor Insurance Claims Using Telematics Data-XGBoost versus Logistic Regression," Risks, Vol.7, No.2, p.70, 2019.   DOI
22 김수영, 박지은, 서현주, 서혜선, 손희정, 신채민, 이윤재, 장보형, NECA 체계적 문헌고찰 매뉴얼, 서울: 한국보건의료연구원 신의료기술평가사업팀, 2011.
23 J. S. Yu, Y. Baek, D. Hyun, and S. J. Chang, "Customized BMI and waist circumference cut-off values are needed to identify metabolic syndrome among South Koreans according to their Sasang constitutional type," Journal of Korean Medicine, Vol.39, No.4, pp.51-61, 2018.   DOI
24 J. S. Park and S. H. Kim, "Validity of muscle-to-fat ratio as a predictor of adult metabolic syndrome," J. Phys. Ther. Sci. Vol.28, No.28, pp.1036-1045, 2016.   DOI
25 K. A. Shin, "Clinical Usefulness of Serum Uric Acid and Resting Heart Rate in the Diagnosis of Metabolic Syndrome in Korean Adults," Biomedical Science Letters, Vol.23, No.2, pp.118-127, 2017.   DOI
26 D. R. Kang, D. Yadav, S. B. Koh, J. Y. Kim, and S. V. Ahn, "Impact of Serum Leptin to Adiponectin Ratio on Regression of Metabolic Syndrome in High-Risk Individuals: The ARIRANG Study," Yonsei Med J, Vol.58, No.2, pp.339-346, 2017.   DOI
27 M. Y. Lee, D. S. Hyon, J. H. Huh, H. K. Kim, S. K. Han, J. Y. Kim, and S. B. Koh, "Association between Serum Gamma-Glutamyltransferase and Prevalence of Metabolic Syndrome Using Data from the Korean Genome and Epidemiology Study," Endocrinol Metab (Seoul), Vol.34, No.4, pp.390-397, 2019.   DOI
28 S. K. Park, J. H. Ryoo, C. M. Oh, J. M. Choi, and J. Y. Jung, "1-Hour and 2-Hour Postload Glucose Level on Oral Glucose Tolerance Test and the Risk of Incident Metabolic Syndrome," J Clin Endocrinol Metab, Vol.104, No.2, pp.539-549, 2019.
29 S. Lim, J. H. Kim, J. W. Yoon, S. M. Kang, S. H. Choi, Y. J. Park, K. W. Kim, N. H. Cho, H. Shin, K. S. Park, and H. C. Jang, "Optimal cut points of waist circumference (WC) and visceral fat area (VFA) predicting for metabolic syndrome (MetS) in elderly population in the Korean Longitudinal Study on Health and Aging (KLoSHA)," Arch Gerontol Geriatr, Vol.54, No.2, pp.e29-34, 2012.   DOI
30 G. M. Reaven, "Banting Lecture 1988. Role of insulin resistance in human disease. 1988," Nutrition, Vol.13, No.1, pp.64-66, 1997.
31 R. Ramirez-Velez, H. A. Carrillo, J. E. Correa-Bautista, J. Schmidt-RioValle, E. Gonzalez-Jimenez, M. Correa-Rodriguez, K. Gonzalez-Ruiz, and A. Garcia-Hermoso, "Fat-to-Muscle Ratio: A New Anthropometric Indicator as a Screening Tool for Metabolic Syndrome in Young Colombian People," Nutrients, Vol.10, No.8, pp.261-271, 2018.   DOI
32 K. G. Alberti and P. Z. Zimmet, "Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation," Diabet Med, Vol.15, No.7, pp.539-553, 1998.   DOI
33 M. J. Gurka, C. L. Ice, S. S. Sun, and M. D. DeBoer, "A confirmatory factor analysis of the metabolic syndrome in adolescents: an examination of sex and racial/ethnic differences," Cardiovascular Diabetology, Vol.11, No.1, pp.1-10, 2012.   DOI
34 K. A. Shin, "Assessing a Body Shape Index and Waist to Height Ratio as a Risk Predictor for Insulin Resistance and Metabolic Syndrome among Korean Adults," The Korean Journal of Clinical Laboratory Science, Vol.50, No.1, pp.44-53, 2018.   DOI
35 J. Namkung, J. H. Sohn, J. S. Chang, S. W. Park, J. Y. Kim, S. B. Koh, I. D. Kong, and K. S. Park, "Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study," Diabetes Metab J, Vol.43, No.4, pp.521-529, 2019.   DOI
36 심장대사증후군, 5th Asia-Pacific CardioMetaboli c Syndrome, 2021, http://www.kscms.org.
37 J. H. Huh, D. R. Kang, J. Y. Jang, J. H. Shin, J. Y. Kim, S. Choi, E. J. Cho, J.S. Park, I. S. Sohn, and S. H. Jo, "Metabolic syndrome epidemic among Korean adults: Korean survey of Cardiometabolic Syndrome (2018)," Atherosclerosis, Vol.277, pp.47-52, 2018.   DOI
38 K. C. Cheong, S. M. Ghazali, L. K. Hock, S. Subenthiran, T. C. Huey, L. K. Kuay, F. I. Mustapha, A. F. Yusoff, and A. N. Mustafa, "The discriminative ability of waist circumference, body mass index and waist-to-hip ratio in identifying metabolic syndrome: Variations by age, sex and race," Diabetes & Metabolic Syndrome: Clinical Research & Reviews, Vol.9, No.2, pp.74-78, 2015.   DOI
39 G. Ravaglia, P. Forti, F. Maioli, L. Bastagli, M. Chiappelli, F. Montesi, L. Bolondi, and C. Patterson, "Metabolic syndrome: prevalence and prediction of mortality in elderly individuals," Diabetes care, Vol.29, No.11, pp.2471-2476, 2006.   DOI
40 Y. Yamada, K. Kato, T. Hibino, K. Yokoi, H. Matsuo, T. Segawa, S. Watanabe, S. Ichihara, H. Yoshida, and K. Satoh, "Prediction of genetic risk for metabolic syndrome," Atherosclerosis, Vol.191, No.2, pp.298-304, 2007.   DOI
41 E. Suliga, E. Ciesla, M. Gluszek-Osuch, T. Rogula, S. Gluszek, and D. Koziel, "The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome," Nutrients, Vol.11, No.11, pp.1-14, 2019.
42 S. K. Mottillo, B. Filion, J. Genest, L. Joseph, L. Pilote, P. Poirier, S. Rinfret, E. L. Schiffrin, and M. J. Eisenberg, "The metabolic syndrome and cardiovascular risk: a systematic review and meta-analysis," Journal of the American College of Cardiology, Vol.56, No.14, pp.1113-1132, 2010.   DOI
43 Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults, "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, Vol.285, No.19, pp.2486-2497, 2001.   DOI
44 S. M. Grundy, J. I. Cleeman, S. R. Daniels, K. A. Donato, R. H. Eckel, B. A. Franklin, D. J. Gordon, R. M. Krauss, P. J. Savage, S. C. Smith, J. A. Spertus, and F. Costa, "Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement," Circulation, Vol.112, No.17, pp.2735-2752, 2005.   DOI
45 남옥연, 이성희, 강재헌, 김철환, 김성걸, "정상 성인 남성에서의 대사증후군과 인슐린 저항성과의 관련성: IDF 새로운 진단기준과 NCEP-ATP III 진단기준 적용," 가정의학회지, 제27권, 제10호, pp.807-814, 2006.
46 진료지침위원회, 당뇨병 진료지침 2011, 대한당뇨병학회, 2011.
47 A. J. Myles, R. N. Feudale, Y. Liu, N. A. Woody, and S. D. Brown, "An introduction to decision tree modeling," Journal of Chemometrics, Vol.18, No.6, pp.275-285, 2004.   DOI
48 T. J. Niiranen and R. S. Vasan, "Epidemiology of cardiovascular disease: recent novel outlooks on risk factors and clinical approaches," Expert review of cardiovascular therapy, Vol.14, No.7, pp.855-869, 2016.   DOI
49 J. W. Lee, Longevity and Life Preservation in Oriental Medicine, translated by S. H. Choi, Kyung Hee Univ Press, Seoul, 1996.
50 P. Ranasinghe, Y. Mathangasinghe, R. Jayawardena, A. P. Hills, and A. Misra, "Prevalence and trends of metabolic syndrome among adults in the asia-pacific region: a systematic review," BMC Public Health, Vol.17, No.1, p.101, 2017.   DOI
51 J. H. Yoon, J. K. Park, S. S. Oh, K. H. Lee, S. K. Kim, I. J. Cho, J. K. Kim, H. T. Kang, S. G. Ahn, J. W. Lee, S. H. Lee, A. Eom, J. Y. Kim, S. V. Ahn, and S. B. Koh, "The ratio of serum leptin to adiponectin provides adjunctive information to the risk of metabolic syndrome beyond the homeostasis model assessment insulin resistance: the Korean Genomic Rural Cohort Study," Clin Chim Acta, Vol.412, No.23-24, pp.2199-2205, 2011.   DOI