Skip to main content

Advertisement

Log in

Prevalence and associated factors of metabolic syndrome among a national population-based sample of 18–108-year-olds in Iraq: results of the 2015 STEPS survey

  • Original Article
  • Published:
International Journal of Diabetes in Developing Countries Aims and scope Submit manuscript

Abstract

Background

This study aimed to assess the prevalence and associated factors of the metabolic syndrome (MetS) among 18–108-year-old persons in Iraq.

Method

Nationally representative cross-sectional data were analysed from 3703 18–108-year-old persons (32 years median age) that participated in the “2015 Iraq STEPS survey,” with complete MetS measurements.

Results

Results indicate that 39.4% of 18–108 year-olds had MetS (harmonized definition), 39.8% among women and 39.0% among men, and the mean number of MetS components was 2.4 (SD=1.4), 2.4 (SD=1.4) among women and 1.5 (SD=1.4) among men. In adjusted logistic regression analysis, aged 60–108 years (adjusted odds ratio (AOR) 6.69, 95% confidence interval (CI) 4.82–9.29), current smoking (AOR 1.38, 95% CI 1.01–1.90), past smoking (AOR 1.54, 95% CI 1.00–2.36), general overweight (AOR 4.87, 95% CI 3.07–5.63) and obesity (AOR: 8.33, 95% CI: 6.27–11.07) were associated with MetS. In adjusted linear regression analysis, aged 60–108 years (beta 1.21, 95% CI 1.06 to 1.37), male sex (beta 0.23, 95% CI 0.12 to 0.34), overweight (beta 0.77, 95% CI 0.64 to 0.90) and obesity (beta 1.27, 95% CI 1.13 to 1.40) were positively and having more than primary education (beta −0.22, 95% CI −0.34 to −0.09) was negatively associated with greater number of MetS components.

Conclusion

Two in five participants had MetS and several associated indicators were found which could be supportive in designing intervention activities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data availability

The data for the current study are publicly available at the World Health Organization NCD Microdata Repository (URL: https://extranet.who.int/ncdsmicrodata/index.php/catalog).

Abbreviations

BP:

Blood pressure

FBG:

Fasting blood glucose

HDL:

High-density lipoprotein cholesterol

MetS:

Metabolic Syndrome

STEPS:

STEPwise approach to surveillance

STATA:

Statistics and data

TG:

Triglycerides

WC:

Waist circumference

References

  1. World Health Organization (WHO) Iraq: Noncommunicable Diseases (NCD) Country Profiles, 2018. URL: https://www.who.int/nmh/countries/irq_en.pdf?ua=1. Accessed 2 June 2020.

  2. Grundy SM. Metabolic syndrome pandemic. Arterioscler Thromb Vasc Biol. 2008;28(4):629–36. https://doi.org/10.1161/ATVBAHA.107.151092.

    Article  CAS  PubMed  Google Scholar 

  3. Wilson PW, D’Agostino RB, Parise H, Sullivan L, Meigs JB. Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation. 2005;112(20):3066–72. https://doi.org/10.1161/CIRCULATIONAHA.105.539528.

    Article  CAS  PubMed  Google Scholar 

  4. Dragsbæk K, Neergaard JS, Laursen JM, Hansen HB, Christiansen C, Beck-Nielsen H, et al. Metabolic syndrome and subsequent risk of type 2 diabetes and cardiovascular disease in elderly women: challenging the current definition. Medicine (Baltimore). 2016;95(36):e4806. https://doi.org/10.1097/MD.0000000000004806.

    Article  CAS  Google Scholar 

  5. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, 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 Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640–5. https://doi.org/10.1161/CIRCULATIONAHA.109.192644.

    Article  CAS  PubMed  Google Scholar 

  6. Saklayen MG. The global epidemic of the metabolic syndrome. Curr Hypertens Rep. 2018;20(2):12. Published 2018 Feb 26. https://doi.org/10.1007/s11906-018-0812-z.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Misra A, Khurana L. Obesity and the metabolic syndrome in developing countries. J Clin Endocrinol Metab. 2008;93(11 Suppl 1):S9–S30. https://doi.org/10.1210/jc.2008-1595.

    Article  CAS  PubMed  Google Scholar 

  8. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet. 2016;387(10027):1513–30. https://doi.org/10.1016/S0140-6736(16)00618-8.

    Article  Google Scholar 

  9. Hasan MT, Ahmed HF, Ismael SA. Prevalence of metabolic syndrome in a sample of population in Erbil city, Iraq. Zanco J Med Sci. 2016;20(2). https://doi.org/10.15218/zjms.2016.0021.

  10. Al-Azzawi O. Prevalence of prediabetes and metabolic syndrome and their association in an Iraqi sample. IOSR-JDMS. 2015;14(9):10–6 www.iosrjournals.org. Accessed 2 June 2020.

  11. Al-Azzawi OF. Metabolic syndrome; comparing the results of three definition criteria in an Iraqi sample. Al-kindy College Med J. 2018;14(2):7–14 https://www.iasj.net/iasj?func=fulltext&aId=159060. Accessed 2 June 2020.

  12. Belfki H, Ben Ali S, Aounallah-Skhiri H, et al. Prevalence and determinants of the metabolic syndrome among Tunisian adults: results of the Transition and Health Impact in North Africa (TAHINA) project. Public Health Nutr. 2013;16(4):582–90. https://doi.org/10.1017/S1368980012003291.

    Article  PubMed  Google Scholar 

  13. Al-Thani MH, Al-Thani AA, Cheema S, et al. Prevalence and determinants of metabolic syndrome in Qatar: results from a National Health Survey. BMJ Open. 2016;6(9):e009514. Published 2016 Sep 6. https://doi.org/10.1136/bmjopen-2015-009514.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Delavari A, Forouzanfar MH, Alikhani S, Sharifian A, Kelishadi R. First nationwide study of the prevalence of the metabolic syndrome and optimal cutoff points of waist circumference in the Middle East: the national survey of risk factors for noncommunicable diseases of Iran. Diabetes Care. 2009;32(6):1092–7. https://doi.org/10.2337/dc08-1800.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Aljohani NJ. Metabolic syndrome: risk factors among adults in Kingdom of Saudi Arabia. J Fam Community Med. 2014;21:170–5 http://www.jfcmonline.com/text.asp?2014/21/3/170/142971. Accessed 2 June 2020.

  16. Xi B, He D, Hu Y, Zhou D. Prevalence of metabolic syndrome and its influencing factors among the Chinese adults: the China Health and Nutrition Survey in 2009. Prev Med. 2013;57(6):867–71. https://doi.org/10.1016/j.ypmed.2013.09.023.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Gebreyes YF, Goshu DY, Geletew TK, et al. Prevalence of high bloodpressure, hyperglycemia, dyslipidemia, metabolic syndrome and their determinants in Ethiopia: evidences from the National NCDs STEPS Survey, 2015. PLoS One. 2018;13(5):e0194819 Published 2018 May 9. https://doi.org/10.1371/journal.pone.0194819.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. 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(1):101. https://doi.org/10.1186/s12889-017-4041-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Mehata S, Shrestha N, Mehta RK, Bista B, Pandey AR, Mishra SR. Prevalence of the metabolic syndrome and its determinants among Nepalese adults: findings from a nationally representative cross-sectional study. Sci Rep. 2018;8(1):14995. https://doi.org/10.1038/s41598-018-33177-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Rguibi M, Belahsen R. Metabolic syndrome among Moroccan Sahraoui adult women. Am J Hum Biol. 2004;16(5):598–601. https://doi.org/10.1002/ajhb.20065.

    Article  PubMed  Google Scholar 

  21. Mammadova A, Yilmaz Isikhan S, Acikgoz A, Yildiz BO. Prevalence of metabolic syndrome and its relation to physical activity and nutrition in Azerbaijan. Metab Syndr Relat Disord. 2019;17(3):160–6. https://doi.org/10.1089/met.2018.0096.

    Article  PubMed  Google Scholar 

  22. He D, Xi B, Xue J, Huai P, Zhang M, Li J. Association between leisure time physical activity and metabolic syndrome: a meta-analysis of prospective cohort studies. Endocrine. 2014;46(2):231–40. https://doi.org/10.1007/s12020-013-0110-0.

    Article  CAS  PubMed  Google Scholar 

  23. Edwardson CL, Gorely T, Davies MJ, Gray LJ, Khunti K, Wilmot EG, et al. Association of sedentary behaviour with metabolic syndrome: a meta-analysis. PLoS One. 2012;7(4):e34916. https://doi.org/10.1371/journal.pone.0034916.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Li XT, Liao W, Yu HJ, Liu MW, Yuan S, Tang BW, et al. Combined effects of fruit and vegetables intake and physical activity on the risk of metabolic syndrome among Chinese adults. PLoS One. 2017;12(11):e0188533. https://doi.org/10.1371/journal.pone.0188533.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Song S, Kim EK, Hong S, Shin S, Song YJ, Baik HW, et al. Low consumption of fruits and dairy foods is associated with metabolic syndrome in Korean adults from outpatient clinics in and near Seoul. Nutr Res Pract. 2015;9(5):554–62. https://doi.org/10.4162/nrp.2015.9.5.554.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Lee M, Lim M, Kim J. Fruit and vegetable consumption and the metabolic syndrome: a systematic review and dose-response meta-analysis. Br J Nutr. 2019;122(7):723–33. https://doi.org/10.1017/S000711451900165X.

    Article  CAS  PubMed  Google Scholar 

  27. Zhang Y, Zhang DZ. Associations of vegetable and fruit consumption with metabolic syndrome. A meta-analysis of observational studies. Public Health Nutr. 2018;21(9):1693–703. https://doi.org/10.1017/S1368980018000381.

    Article  PubMed  Google Scholar 

  28. Tian Y, Su L, Wang J, Duan X, Jiang X. Fruit and vegetable consumption and risk of the metabolic syndrome: a meta-analysis. Public Health Nutr. 2018;21(4):756–65. https://doi.org/10.1017/S136898001700310X.

    Article  PubMed  Google Scholar 

  29. Sun K, Liu J, Ning G. Active smoking and risk of metabolic syndrome: a meta-analysis of prospective studies. PLoS One. 2012;7(10):e47791. https://doi.org/10.1371/journal.pone.0047791.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Kolovou GD, Kolovou V, Mavrogeni S. Cigarette smoking/cessation and metabolic syndrome. Clin Lipidol. 2016;11(1):6–14. https://doi.org/10.1080/17584299.2016.1228285.

    Article  CAS  Google Scholar 

  31. Calo WA, Ortiz AP, Suárez E, Guzmán M, Pérez CM, Pérez CM. Association of cigarette smoking and metabolic syndrome in a Puerto Rican adult population. J Immigr Minor Health. 2013;15:810–6.

    Article  Google Scholar 

  32. Freiberg MS, Cabral HJ, Heeren TC, Vasan RS, Curtis Ellison R, Third National Health and nutrition examination survey. Alcohol consumption and the prevalence of the metabolic syndrome in the US: a cross-sectional analysis of data from the Third National Health and Nutrition Examination Survey. Diabetes Care. 2004;27(12):2954–9. https://doi.org/10.2337/diacare.27.12.2954.

    Article  PubMed  Google Scholar 

  33. Elmadhun NY, Sellke FW. Is there a link between alcohol consumption and metabolic syndrome? Clin Lipidol. 2013;8(1):5–8. https://doi.org/10.2217/clp.12.82.

    Article  CAS  Google Scholar 

  34. World Health Organization (WHO) (2018) STEPwise approach to surveillance (STEPS). URL: https://www.who.int/ncds/surveillance/steps/en/. Accessed 2 June 2020.

  35. Ministry of Health, Iraq Ministry of Planning and Development Cooperation, World Health Organization. Noncommunicable Diseases Risk Factors STEPS Survey Iraq 2015. URL: http://www.who.int/chp/steps/Iraq_2015_STEPS_Report.pdf?ua=1. Accessed 2 June 2020.

  36. Mansour AA, Al-Hassan AA, Al-Jazairi MI. Cut-off values for waist circumference in rural Iraqi adults for the diagnosis of metabolic syndrome. RRH. 2007;7(4):765.

    CAS  PubMed  Google Scholar 

  37. Pengpid S, Peltzer K. Prevalence and correlates of the metabolic syndrome in a cross-sectional community-based sample of 18-100 year-olds in Morocco: results of the first national STEPS survey in 2017. Diabetes Metab Syndr. 2020;14(5):1487–93. https://doi.org/10.1016/j.dsx.2020.07.047.

    Article  PubMed  Google Scholar 

  38. Pérez-Martínez P, Mikhailidis DP, Athyros VG, Bullo M, Couture P, Covas MI, et al. Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation. Nutr Rev. 2017;75(5):307–26. https://doi.org/10.1093/nutrit/nux014.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

The data source, the World Health Organization NCD Microdata Repository (URL: https://extranet.who.int/ncdsmicrodata/index.php/catalog), is hereby acknowledged.

Author information

Authors and Affiliations

Authors

Contributions

All authors fulfil the criteria for authorship. SP and KP conceived and designed the research, performed statistical analysis, drafted the manuscript and made critical revision of the manuscript for key intellectual content. All authors read and approved the final version of the manuscript and have agreed to authorship and order of authorship for this manuscript.

Corresponding author

Correspondence to Karl Peltzer.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Ethics approval and consent to participate

Ethical approval for the study was obtained from the “Republic of Iraq Ministry of Health/Environment Public Health Directorate” and written informed consent was obtained from participants prior to the study [35].

Consent for publication

Not applicable.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pengpid, S., Peltzer, K. Prevalence and associated factors of metabolic syndrome among a national population-based sample of 18–108-year-olds in Iraq: results of the 2015 STEPS survey. Int J Diabetes Dev Ctries 41, 427–434 (2021). https://doi.org/10.1007/s13410-020-00912-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13410-020-00912-6

Keywords

Navigation