Abstract
Background
Metabolic syndrome (MetS) consists of a cluster of cardiometabolic risk factors and is an important determining factor for cardiovascular diseases (CVDs). We intended to use latent class analysis to classify the study population into several clusters.
Methods
The baseline information of 6,814 participants of the Multi-Ethnic Study of Atherosclerosis (MESA) aged 45–84 years in 2000–2002 was used. The latent class analysis was conducted to extract different patterns of components. SAS 9.2 and Stata 12 software were used for analysis.
Results
The components of MetS tend to accumulate, hence it would be feasible to categorize the population into three classes: [1] Non-Metabolic Syndrome Latent Class (NonMetS-LC), [2] Low Risk Latent Class (LowR-LC), and [3] Metabolic Syndrome Latent Class (MetS-LC). In women, adding high-density lipoprotein (HDL) component to the two-component combinations of NonMetS-LC will transfer the individual to MetS-LC, and it was found in 100% of combinations of MetS-LC. However, in men, blood pressure (BP) played such a similar role, which was found in 97.36% of combinations of MetS-LC.
Conclusion
Results showed that clinical value of each MetS component is different by gender. The main component in men was elevated BP; while low HDL and elevated fasting blood sugar (FBS) were in next ranks. However, the main component in women was low HDL; while elevated BP and FBS were in next ranks. Special attention should be paid to BP and HDL components, because these can be useful for clinicians and health policy-makers in diagnosis and screening. In conclusion, this study showed that revisions might be needed for the MetS definitions.
Graphical abstract
Highlights
-
We used latent class analysis to classify the study population to several clusters.
-
The main component for identifying metabolic syndrome in men was elevated BP.
-
In men, low HDL and elevated fasting blood sugar (FBS) were in next ranks.
-
The main component in women was low HDL; elevated BP and FBS were in next ranks.
-
This study showed a revision for metabolic syndrome definitions might be needed.
Similar content being viewed by others
Data availability
Not applicable.
Code availability
Not applicable.
Abbreviations
- CVDs:
-
Cardiovascular Diseases
- MetS:
-
Metabolic Syndrome
- BP:
-
Blood Pressure
- FBS:
-
Fasting Blood Sugar
- HDL:
-
High-density Lipoprotein
- TG:
-
Triglycerides
- WC:
-
Waist Circumference
- NonMetS-LC:
-
Non-Metabolic Syndrome Latent Class
- LowR-LC:
-
Low Risk Latent Class
- MetS-LC:
-
Metabolic Syndrome Latent Class
- IDF:
-
International Diabetes Federation
- NCEP-ATPIII:
-
National Cholesterol Education Program – Adult Treatment Panel III
References
Qiao J, Lin X, Wu Y, Huang X, Pan X, Xu J, et al. Global burden of non-communicable diseases attributable to dietary risks in 1990–2019. J Hum Nutr Diet. 2022;35(1):202–13.
Saklayen MG. The global epidemic of the metabolic syndrome. Curr Hypertens Rep. 2018;20(2):12.
[The prevalence. of metabolic syndrome in a 11 provinces cohort in China]. Zhonghua yu fang yi xue za zhi [Chin J Prev Med]. 2002;36(5):298–300.
Cocoman AM, Gallagher D. A Retrospective Chart Review of Screening on the prevalence of metabolic syndrome (MetS) in an Irish Community Mental Health Service. Issues Ment Health Nurs. 2019;40(10):895–901.
Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287(3):356–9.
Qin X, Qiu L, Tang G, Tsoi MF, Xu T, Zhang L, et al. Prevalence of metabolic syndrome among ethnic groups in China. BMC Public Health. 2020;20(1):297.
Mokhayeri Y, Riahi SM, Rahimzadeh S, Pourhoseingholi MA, Hashemi-Nazari SS. Metabolic syndrome prevalence in the Iranian adult’s general population and its trend: a systematic review and meta-analysis of observational studies. Diabetes Metab Syndr. 2018;12(3):441–53.
Punthakee Z, Goldenberg R, Katz P. Definition, classification and diagnosis of diabetes, prediabetes and metabolic syndrome. Can J Diabetes. 2018;42:10-S5.
Huang PL. A comprehensive definition for metabolic syndrome. Dis Model Mech. 2009;2(5–6):231–7.
Daskalopoulou SS, Athyros VG, Kolovou GD, Anagnostopoulou KK, Mikhailidis DP. Definitions of metabolic syndrome: where are we now? Curr Vasc Pharmacol. 2006;4(3):185–97.
Yang W, Reynolds K, Gu D, Chen J, He J. A comparison of two proposed definitions for metabolic syndrome in the chinese adult population. Am J Med Sci. 2007;334(3):184–9.
Qiao Q. Comparison of different definitions of the metabolic syndrome in relation to cardiovascular mortality in european men and women. Diabetologia. 2006;49(12):2837–46.
Nwankwo M, Okamkpa CJ, Danborno B. Comparison of diagnostic criteria and prevalence of metabolic syndrome using WHO, NCEP-ATP III, IDF and harmonized criteria: A case study from urban southeast Nigeria. Diabetes Metab Syndr: Clin Res Rev. 2022;16(12):102665.
Mancia G, Bombelli M, Facchetti R, Casati A, Ronchi I, Quarti-Trevano F, et al. Impact of different definitions of the metabolic syndrome on the prevalence of organ damage, cardiometabolic risk and cardiovascular events. J Hypertens. 2010;28(5):999–1006.
Riahi SM, Moamer S, Namdari M, Mokhayeri Y, Pourhoseingholi MA, Hashemi-Nazari SS. Patterns of clustering of the metabolic syndrome components and its association with coronary heart disease in the multi-ethnic study of atherosclerosis (MESA): a latent class analysis. Int J Cardiol. 2018;271:13–8.
Noor SWB, Ross MW, Lai D, Risser JM. Use of Latent Class Analysis Approach to describe drug and sexual HIV risk patterns among injection drug users in Houston, Texas. AIDS Behav. 2014;18(3):276–83.
Bahar A, Kashi Z, Kheradmand M, Hedayatizadeh-Omran A, Moradinazar M, Ramezani F, et al. Prevalence of metabolic syndrome using international diabetes federation, national cholesterol education panel- adult treatment panel III and iranian criteria: results of Tabari cohort study. J Diabetes Metab Disord. 2020;19(1):205–11.
Nyenwe EA, Dagogo-Jack S. Metabolic syndrome, prediabetes and the science of primary prevention. Minerva Endocrinol. 2011;36(2):129–45.
Weir E, Lipscombe L. Metabolic syndrome: Waist not want not. CMAJ. 2004;170(9):1390–1.
Mark AE, Janssen I. Relationship between screen time and metabolic syndrome in adolescents. J Public Health. 2008;30(2):153–60.
Vermunt JK, Magidson J. Latent class cluster analysis. Appl latent Cl Anal. 2002;11(89–106):60.
Katakami N, Kaneto H, Matsuhisa M, Umayahara Y, Kosugi K, Yamasaki Y. Clustering of several cardiovascular risk factors affects tissue characteristics of the carotid artery. Atherosclerosis. 2008;198(1):208–13.
Ahmed A, Khan TE, Yasmeen T, Awan S, Islam N. Metabolic syndrome in type 2 diabetes: comparison of WHO, modified ATPIII & IDF criteria. JPMA J Pak Med Assoc. 2012;62(6):569–74.
Zhong G-C, Huang S-Q, Peng Y, Wan L, Wu Y-Q-L, Hu T-Y et al. HDL-C is associated with mortality from all causes, cardiovascular disease and cancer in a J-shaped dose-response fashion: a pooled analysis of 37 prospective cohort studies. Eur J Prev Cardiol. 2020:2047487320914756.
Tangney CC, Mosca LJ, Otvos JD, Rosenson RS. Oral 17β-estradiol and medroxyprogesterone acetate therapy in postmenopausal women increases HDL particle size. Atherosclerosis. 2001;155(2):425–30.
Eapen DJ, Kalra GL, Rifai L, Eapen CA, Merchant N, Khan BV. Raising HDL cholesterol in women. Int J Womens Health. 2010;1:181–91.
Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al. Seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension. 2003;42(6):1206–52.
Slagter S, Waateringe R, Beek A, Klauw M, Vliet-Ostaptchouk J, Wolffenbuttel B. A critical evaluation of the metabolic syndrome definition: why we should be more cautious. Endocrine Abstracts. Bioscientifica. 2016;41.
Poznyak A, Grechko AV, Poggio P, Myasoedova VA, Alfieri V, Orekhov AN. The diabetes Mellitus-Atherosclerosis connection: the role of lipid and glucose metabolism and chronic inflammation. Int J Mol Sci. 2020;21(5):1835.
Maric C. Risk factors for cardiovascular disease in women with diabetes. Gend Med. 2010;7(6):551–6.
Georgousopoulou EN, Kouli G, Kastorini C, et al. Exploration of the metabolic syndrome spectrum and its role in cardiovascular disease risk in Greece; the mediating effect of Mediterranean Diet: Results from the 10-year (2002–2012) follow-up of the ATTICA Study. Hell J Atheroscler. 2016;7(2):76–83.
Vaidya D, Szklo M, Ding J, Tracy R, Liu K, Saad M, et al. Agreement of two metabolic syndrome definitions and their association with subclinical atherosclerosis: multi-ethnic study of atherosclerosis cross sectional study. Metab Syndr Relat Disord. 2007;5(4):343–52.
Alberti KG, Zimmet P, Shaw J. The metabolic syndrome–a new worldwide definition. Lancet (London England). 2005;366(9491):1059–62.
Acknowledgements
Dr. SS. Hashemi-Nazari and Dr. SM. Riahi had full access to all data and take responsibility for the integrity and accuracy of the data and analyses. We thank researchers, staff, and participants of MESA study for their valuable contributions. A full list of participating MESA investigators and institutions is at http://www.mesa-nhlbi.org.
Author information
Authors and Affiliations
Contributions
Conception and design: Seyed Mohammad Riahi, Seyed Saeed Hashemi-Nazari.
Cleaning of data: Seyed Mohammad Riahi.
Data analysis and interpretation: Seyed Mohammad Riahi, Seyed Saeed Hashemi-Nazari.
Manuscript writing: Seyed Mohammad Riahi, Ali Fanoodi, Sameep Shetty.
Final approval of manuscript: All authors.
Corresponding authors
Ethics declarations
Ethics approval
For this study, ethical approval was not needed because the data were acquired under the National Heart, Lung, and Blood Institute (NHLBI)—Research Materials Distribution Agreement (RMDA) V021d20120806.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Conflicts of interest/Competing interests
The authors declare no conflicts of interest and are responsible for the content and writing of the paper. The authors did not have any relationship with industry.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Riahi, S.M., Fanoodi, A., Shetty, S. et al. Critical assessment of the metabolic syndrome definitions in the adult general population of the United States - the Multi-Ethnic Study of Atherosclerosis (MESA). J Diabetes Metab Disord 22, 851–859 (2023). https://doi.org/10.1007/s40200-023-01213-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40200-023-01213-5