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Open Access 01-12-2019 | Research article

Prevalence and distribution of metabolic syndrome and its components among provinces and ethnic groups in Indonesia

Authors: Elizabeth Henny Herningtyas, Tian Sheng Ng

Published in: BMC Public Health | Issue 1/2019

Abstract

Background

Global increase of metabolic syndrome (MetS) may have affected Indonesia, however, lack of data in this multiethnic group country warrants a nationwide study for MetS and its components. This study aims to determine the prevalence of metabolic syndrome and its components among Indonesian people based on the province and ethnic groups.

Methods

We obtained 8573 subjects from the Indonesian Family Life Survey Wave 4 (IFLS4), spread over 20 provinces in Indonesia and consisting of 27 ethnic groups. MetS was operationalized according to an adapted Harmonized MetS definition. Prevalence ratios with 95% confidence interval were estimated using log-binomial regression.

Results

The prevalence of MetS in Indonesia is 21.66% with provincial prevalence ranging from 0 to 50%, while the ethnic prevalence ranging from 0 to 45.45%. Significant higher MetS prevalence ratios were found in Jakarta (PR 1.826; 95CI 1.628–2.048), West Nusa Tenggara (PR 1.412; 95CI: 1.222–1.630), West Sumatra (PR 1.404; 95CI: 1.202–1.641), East Java province (PR 1.109; 95CI: 1.001–1.229) and in Sasak (PR 1.532; 95CI:1.304–1.800), Minangkabau (PR 1.469; 95CI:1.251–1.726), Betawi (PR 1.597; 95CI:1.346–1.895), Acehnese ethnic group (PR 2.101; 95CI:1.099–4.020) while significant lower prevalence ratios were observed in Central Java (PR 0.668; 95CI: 0.580–0.770), Yogyakarta (PR 0.695; 95CI: 0.575–0.840), Banten (PR 0.718; 95CI: 0.533–0.968), Bali province (PR 0.724; 95CI: 0.590–0.889) and in Javanese (PR 0.855; 95CI:0.788–0.928), also Balinese ethnic groups (PR 0.669; 95CI:0.535–0.836). The highest prevalence of MetS components among Indonesians was low HDL cholesterol (66.41%), followed by hypertension (64.45%), and central obesity (43.21%).

Conclusions

The prevalence of MetS in Indonesia is moderate with provincial and ethnic prevalence varied. Provincial and ethnic group differences in MetS prevalence ratios were observed. The top two most prevalent MetS components in Indonesian were low HDL cholesterol and hypertension.

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Alberti KGMM, Eckel RH, Grundy SM, et al. 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. Circulation. 2009;120(16):1640–5 https://doi.org/10.1161/CIRCULATIONAHA.109.192644.CrossRef

Ranasinghe P, Mathangasinghe Y, Jayawardena R, Hills AP, Misra A. Prevalence and trends of metabolic syndrome among adults in the asia-pacific region: a systematic review. BMC Public Health. 2017;17(101) https://doi.org/10.1186/s12889-017-4041-1.

Institute for Health Metrics and Evaluation. The global burden of disease: generating evidence, guiding policy. 2013. http://www.healthdata.org/sites/default/files/files/policy_report/2013/GBD_GeneratingEvidence/IHME_GBD_GeneratingEvidence_FullReport.pdf.

Indonesia Population (2018) - Worldometers. http://www.worldometers.info/world-population/indonesia-population/Accessed 21 Jun 2018.

Ananta A, Arifin EN, Hasbullah MS, Pramono A, Handayani NB. Demography of Indonesia’s ethnicity: Institute of Southeast Asian Studies; 2015.

Bahan Paparan Riset Kesehatan Dasar (RISKESDAS) 2007, 2010, 2013. http://labdata.litbang.depkes.go.id/23-labmandat/399-bahan-paparan-riset-kesehatan-dasar-riskesdas-2007-2010-2013/Accessed 21 Jun 2018.

Jian CH, Dewi FST, Herningtyas EH. Prevalence of metabolic syndrome and its components based on international diabetes federation (IDF) definition in Yogyakarta special region, Indonesia. J the Med Sci. 2017;49:128–40 https://doi.org/10.19106/JMedSci004903201705.

Soewondo P, Purnamasari D, Oemardi M, Waspadji S, Soegondo S. Prevalence of metabolic syndrome using NCEP/ATP III criteria in Jakarta, Indonesia: the Jakarta primary non-communicable disease risk factors surveillance 2006. Acta Med Indones. 2010;42:199–203 http://www.inaactamedica.org/archives/2010/ 21063040.pdf.PubMed

Lim S, Shin H, Song JH, et al. Increasing prevalence of metabolic syndrome in Korea: the Korean National Health and nutrition examination survey for 1998-2007. Diabetes Care. 2011;34:1323–8 https://doi.org/10.2337/dc10-2109.CrossRef

10.

Strauss J, Witoelar F, Sikoki B, Wattie AM. The fourth wave of the Indonesia family life survey : overview and field report volume 1. 2009. microdata.worldbank.org/index.php/catalog/1044/download/20909.

11.

International Diabetes Federation. The IDF consensus worldwide defi nition of the METABOLIC SYNDROME. 2006. https://www.idf.org/e-library/consensus-statements/60-idfconsensus-worldwide-definitionof-the-metabolic-syndrome.

12.

Mohamud WNW. Ismail a al-S, Sharifuddin a, et al. prevalence of metabolic syndrome and its risk factors in adult Malaysians: results of a nationwide survey. Diabetes Res Clin Pract. 2011;91:239–45 https://doi.org/10.1016/j.diabres.2010.11.025.CrossRef

13.

Enkh-Oyun T, Kotani K, Davaalkham D, et al. Epidemiologic features of metabolic syndrome in a general Mongolian Population. Metab Syndr Relat Disord. 2015;13:179–86. https://doi.org/10.1089/met.2014.0067.CrossRefPubMed

14.

Park S-Y, Park Y-K, Cho K-H, et al. Normal range albuminuria and metabolic syndrome in South Korea: the 2011-2012 Korean National Health and nutrition examination survey. PLoS One. 2015;10:e0125615. https://doi.org/10.1371/journal.pone.0125615.CrossRefPubMedPubMedCentral

15.

Ming J, Xu S, Yang C, et al. Metabolic syndrome and chronic kidney disease in general Chinese adults: results from the 2007–08 China National Diabetes and metabolic disorders study. Clin Chim Acta. 2014;430:115–20. https://doi.org/10.1016/J.CCA.2014.01.004.CrossRefPubMed

16.

Khoo CM, Liew CF, Chew SK, Tai ES. The impact of central obesity as a prerequisite for the diagnosis of metabolic syndrome*. Obesity. 2007;15:262–9. https://doi.org/10.1038/oby.2007.559.CrossRefPubMed

17.

Yeh C-J, Chang H-Y, Pan W-H. Time trend of obesity, the metabolic syndrome and related dietary pattern in Taiwan: from NAHSIT 1993-1996 to NAHSIT 2005-2008. Asia Pac J Clin Nutr 2011;20:292–300. http://www.ncbi.nlm.nih.gov/pubmed/21669598.

18.

Katulanda P, Ranasinghe P, Jayawardana R, Sheriff R, Matthews DR. Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates. Diabetol Metab Syndr. 2012;4(24) https://doi.org/10.1186/1758-5996-4-24.

19.

Morales DD, Punzalan FER, Paz-Pacheco E, Sy RG, Duante CA. National Nutrition and Health Survey: 2003 group. Metabolic syndrome in the Philippine general population: prevalence and risk for atherosclerotic cardiovascular disease and diabetes mellitus. Diabetes Vasc Dis Res. 2008;5:36–43 https://doi.org/10.3132/dvdr.2008.007.CrossRef

20.

Ford ES. Prevalence of the metabolic syndrome defined by the international diabetes federation among adults in the U.S. Diabetes Care. 2005;28:2745–9 https://doi.org/10.2337/diacare.28.11.2745.

21.

Palaniappan LP, Wong EC, Shin JJ, Fortmann SP, Lauderdale DS. Asian Americans have greater prevalence of metabolic syndrome despite lower body mass index. Int J Obes. 2011;35:393–400. https://doi.org/10.1038/ijo.2010.152.CrossRef

22.

Hatma RD. Lipid profiles among diverse ethnic groups in Indonesia. Acta Med Indones. 2011;43:4–11 https://www.inaactamedica.org/archives/2011/21339539.pdf.PubMed

23.

Matthews KA, Räikkönen K, Gallo L, Kuller LH. Association between socioeconomic status and metabolic syndrome in women: testing the reserve capacity model. Health Psychol. 2008;27(5):576–83. https://doi.org/10.1037/0278-6133.27.5.576.CrossRefPubMedPubMedCentral

24.

Zhan Y, Yu J, Chen R, et al. Socioeconomic status and metabolic syndrome in the general population of China: a cross-sectional study. BMC Public Health. 2012;12(921) https://doi.org/10.1186/1471-2458-12-921.

25.

Lewis GF, Uffelman KD, Szeto LW, Steiner G. Effects of acute hyperinsulinemia on VLDL triglyceride and VLDL apoB production in normal weight and obese individuals. Diabetes. 1993;42:833–42. https://doi.org/10.2337/DIAB.42.6.833.CrossRefPubMed

26.

De Carvalho Vidigal F, Bressan J, Babio N, Salas-Salvadó J. Prevalence of metabolic syndrome in Brazilian adults: a systematic review. BMC Public Health. 2013;13(1198) https://doi.org/10.1186/1471-2458-13-1198.

27.

Janszky I, Vatten L, Romundstad P, et al. Metabolic syndrome in Poland - the PONS study. Ann Agric Environ Med 2011;18(2):270–272. https://www.aaem.pl/Metabolic-syndrome-in-Poland-the-PONS Study, 71696,0,2.html.

28.

Lan Y, Mai Z, Zhou S, et al. Prevalence of metabolic syndrome in China: an up-dated cross-sectional study. PLoS One. 2018;13:e0196012. https://doi.org/10.1371/journal.pone.0196012.CrossRefPubMedPubMedCentral

29.

Wildman RP, McGinn AP, Kim M, et al. Empirical derivation to improve the definition of the metabolic syndrome in the evaluation of cardiovascular disease risk. Diabetes Care. 2011;34(3):746–8 https://doi.org/10.2337/dc10-1715.CrossRef

30.

WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet (London, England). 2004;363:157–63 https://doi.org/10.1016/S0140-6736(03)15268-3.CrossRef

31.

Sumner AE, Zhou J, Doumatey A, et al. Low HDL-cholesterol with Normal triglyceride levels is the Most common lipid pattern in west Africans and African Americans with metabolic syndrome: implications for cardiovascular disease prevention. CVD Prev Control. 2010;5:75–80. https://doi.org/10.1016/j.cvdpc.2010.07.003.CrossRefPubMedPubMedCentral

32.

Boudreau DM, Malone DC, Raebel MA, et al. Health care utilization and costs by metabolic syndrome risk factors. Metab Syndr Relat Disord. 2009;7:305–14 https://doi.org/10.1089/met.2008.0070.CrossRef

Title: Prevalence and distribution of metabolic syndrome and its components among provinces and ethnic groups in Indonesia
Authors: Elizabeth Henny Herningtyas
Tian Sheng Ng
Publication date: 01-12-2019
Publisher: BioMed Central
Published in: BMC Public Health / Issue 1/2019
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-019-6711-7

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Prevalence and distribution of metabolic syndrome and its components among provinces and ethnic groups in Indonesia

Abstract

Background

Methods

Results

Conclusions

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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