Waist Circumference Cut-off Points in Iraqi People
DOI:
https://doi.org/10.32007/jfacmedbaghdad2114Keywords:
Anthropometry, Cut-off values, Iraq, Obesity, Waist circumferenceAbstract
Background: Central obesity is a critical predictor of cardiometabolic risk, yet universally applicable waist circumference cut-offs are confounded by ethnic discrepancies
Objectives: To determine the optimal WC cut-off points for identifying central obesity in the Iraqi population and evaluate associated sociodemographic risk factors.
Methods: A retrospective record review was conducted utilizing data from 3,924 participants (1,600 males, 2,324 females) who underwent anthropometric assessment in the National Iraqi STEPWISE Survey of non-communicable disease risk factors. Central obesity was referenced against the WHO Body Mass Index criteria, BMI (30kg/m2). Receiver Operating Characteristic (ROC) curves and the Youden index determined optimal Waist Circumference cut-offs. Multivariable logistic regression identified independent sociodemographic predictors.
Results: The optimal Waist Circumference cut-off points were established at> 91.75 cm for males (AUC: 0.900, 95% CI: 0.884–0.916; prevalence: 56.3%) and> 91.05 cm for females (AUC: 0.882, 95% CI: 0.865–0.899; prevalence: 60.8%). Multivariable analysis revealed that the 18–39 age group had significantly lower odds of having central obesity in both males (OR: 0.404, 95% CI: 0.222–0.735) and females (OR: 0.287, 95% CI: 0.177–0.464). Conversely, central obesity was independently elevated in males who were government employees (OR: 2.581, 95% CI: 1.447–4.604) or unemployed with an income (OR: 2.431, 95% CI: 1.341–4.407), and in females with no formal schooling (OR: 1.892, 95% CI: 1.062–3.373).
Conclusions: The Iraqi population exhibits distinct Waist Circumference thresholds that differ substantially from traditional international metrics, with the odds of central obesity significantly influenced by specific sociodemographic characteristics.
Received: 04 April 2023,
Revised:02 May 2026,
Accepted:21 June 2026,
Published Online: June 2026
Published: 01 July 2026
Downloads
References
Ahmed SK, Mohammed RA. Obesity: Prevalence, causes, consequences, management, preventive strategies and future research directions. Metabol Open. 2025;27:100375. https://doi.org/10.1016/j.metop.2025.100375
2. Monda A, de Stefano MI, Villano I, et al. Ultra-processed food intake and increased risk of obesity: a narrative review. Foods. 2024;13(16):2627. https://doi.org/10.3390/foods13162627.
3. World Health Organization. Obesity and overweight [Internet]. Geneva: WHO; 2025. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
4. Al-Worafi YM, Ming LC, Dhabali AA, et al. Obesity in Developing Countries. In: Al-Worafi YM, editor. Handbook of Medical and Health Sciences in Developing Countries. Cham: Springer; 2024. https://doi.org/10.1007/978-3-030-74786-2_298-1
5. Ahmed KY, Aychiluhm SB, Thapa S, et al. Cardiometabolic Outcomes Among Adults With Abdominal Obesity and Normal Body Mass Index. JAMA Netw Open. 2025;8(10):e2537942. https://doi.org/10.1001/jamanetworkopen.2025.37942
6. Suiunov K, Mamazhakypov A, Polupanov A, et al. Central Obesity: An Emerging Player in Cardiac Remodelling and Dysfunction. Heart Lung Circ. 2025 Dec;34(12):1344-1361. https://doi.org/10.1016/j.hlc.2025.05.096.
7. Correa-Rodríguez M, González-Ruíz K, Rincón-Pabón D, et al. Normal-Weight Obesity Is Associated with Increased Cardiometabolic Risk in Young Adults. Nutrients. 2020;12(4):1106. https://doi.org/10.3390/nu12041106
8.World Health Organization. Waist Circumference and Waist-Hip Ratio Report of a WHO Expert Consultation. Geneva: WHO;.2008. Available from: http://apps.who.int/iris/bitstream/handle/10665/44583/9789241501491_eng.pdf;jsessionid=485ADB1C8E6136DF5A305FD038E9A8E2?sequence=1
9. Cornier MA, Després JP, Davis N, et al. Assessing adiposity: a scientific statement from the American Heart Association. Circulation. 2011 Nov 1;124(18):1996-2019. https://doi.org/10.1161/CIR.0b013e318233bc6a.
10. Ross R, Neeland IJ, Yamashita S, et al. Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nat Rev Endocrinol. 2020 Mar;16(3):177-189.
https://doi.org/10.1038/s41574-019-0310-7.
11. Darsini D, Hamidah H, Notobroto HB, et al. Health Risks Associated with High Waist Circumference: A Systematic Review. J Public Health Res. 2020;9(2):1811. https://doi.org/10.4081/jphr.2020.1811
12. Sabri H. Central Obesity Assessment Through Waist Circumference Measurement Compared to Visceral Fat Analysis Measured by Bioelectric Impedance. Journal of the Academy of Nutrition and Dietetics. 2023;123(9):A23. https://doi.org/10.1016/j.jand.2023.06.070
13. Bajaj SS, Lin JC, Tandar CE, et al. Racial and Ethnic Differences Between Waist Circumference and BMI in Identifying Obesity. Diabetes Care. 2026; 49(5): e79–e81. https://doi.org/10.2337/dc25-2214
14. Patel M, Buchya MA, Uthman O. Ethnic-Specific Threshold Analysis and BMI and Waist Circumference Cutoffs for Cardiovascular Disease and Subjective Wellbeing: Results using Data from the UK Biobank. J Racial Ethnic Health Disparities. 2025;12:3968–3978. https://doi.org/10.1007/s40615-024-02193-9
15. Lopez-Lopez JP, Gonzalez AM, Lanza P, et al. Waist circumference cut-off points to identify major cardiovascular events and incident diabetes in Latin America: findings from the prospective Urban rural epidemiology study Colombia. Front Cardiovasc Med. 2023 Oct 30;10:1204885. https://doi.org/10.3389/fcvm.2023.1204885.
16. Cisse K, Samadoulougou S, Ouedraogo M, et al. Prevalence of abdominal obesity and its association with cardiovascular risk among the adult population in Burkina Faso: findings from a nationwide cross-sectional study. BMJ Open. 2021;11:e049496. Jan 26. https://doi.org/10.1136/bmjopen-2021-049496
17. Minetto MA, Pietrobelli A, Busso C, et al. Digital Anthropometry for Body Circumference Measurements: European Phenotypic Variations throughout the Decades. J Pers Med. 2022 Jun 1;12(6):906. https://doi.org/10.3390/jpm12060906.
18. Wen CP, David Cheng TY, Tsai SP, et al. Are Asians at greater mortality risks for being overweight than Caucasians? Redefining obesity for Asians. Public Health Nutrition. 2009;12(4):497-506. https://doi.org/10.1017/S1368980008002802
19. Tahapary DL, Harbuwono DS, Yunir E, et al. Diagnosing metabolic syndrome in a multi-ethnic country: is an ethnic-specific cut-off point of waist circumference needed?. Nutr Diabetes. 2020 Jun 8;10(1):19.
https://doi.org/10.1038/s41387-020-0123-8.
20. Uchida T, Hirata A. A Literature Review on the Waist Circumference Criteria for Metabolic Syndrome in Japan: Evidence and Implications for Cardiovascular Risk Stratification. J Atheroscler Thromb. 2026:RV22051. https://doi.org/10.5551/jat.RV22051.
21. Zamil AH, Amin SS. Cutoff Point Measurement of the waist circumference for the diagnosis of Metabolic Syndrome in Iraqi university students. Res J Pharm Technol. 2024;17(1):127-130. https://doi.org/10.52711/0974-360X.2024.00020
22. Tladi DM, Mokgatlhe L, Shaibu S, et al. Determination of optimal cut-off values for waist circumferences used for the diagnosis of the metabolic syndrome among Batswana adults (ELS 32). Cardiovascular journal of South Africa. 2020 Dec 15;31(6):314–8.
https://doi.org/10.5830/CVJA-2020-025
23. Kim KS, Oh HJ, Choi YJ, et al. Reappraisal of waist circumference cutoff value according to general obesity. Nutr Metab (Lond). 2016 Apr 5;13:26. https://doi.org/10.1186/s12986-016-0085-y.
24. Al-Rubean K, Youssef AM, Al Farsi Y, et al. Anthropometric cutoff values for predicting metabolic syndrome in a Saudi community: from the SAUDI-DM study. Ann Saudi Med. 2017;37(1):21-30. https://doi.org/10.5144/0256-4947.2017.21.
25. Bajaj SS, Zhong A, Zhang AL, et al. Body Mass Index Thresholds for Asians: A Race Correction in Need of Correction? Ann Intern Med. 2024 Aug;177(8):1127-1129. https://doi.org/10.7326/M24-0161.
26. Gao M, Wei YX, Lyu J, et al. The cut-off points of body mass index and waist circumference for predicting metabolic risk factors in Chinese adults. Zhonghua Liu Xing Bing Xue Za Zhi. 2019 Dec 10;40(12):1533-1540.
https://doi.org/10.3760/cma.j.issn.0254 6450.2019.12.006.
27. Cheong KC, Ghazali SM, Hock LM, et al. Optimal waist circumference cut-off values for predicting cardiovascular risk factors in a multi-ethnic Malaysian population. Obesity Research & Clinical Practice. 2014;8(2):e154-62. https://doi.org/10.1016/j.orcp.2013.03.004
28. NHS Digital. Health Survey for England, 2022 Part 2 [Internet]. Digital.nhs.uk. 2024. Available from: https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2022-part-2/adult-overweight-and-obesity
29. Raposo L, Severo M, Santos AC. Adiposity cut-off points for cardiovascular disease and diabetes risk in the Portuguese population: The PORMETS study. PloS one. 2018 Jan 29;13(1):e0191641–1. https://doi.org/10.1371/journal.pone.0191641
30. González-Rivas J, Mechanick J, Iglesias-Fortes R, et al. Optimal waist circumference cutoff values to predict cardiometabolic alterations in a Venezuela national representative sample. The EVESCAM study. Archivos de cardiología de México. 2021 Sep;91(3):272-80. https://doi.org/10.24875/acm.20000165.
31. Roman G, Bala C, Craciun A, et al. Eating Patterns, Physical Activity and Their Association with Demographic Factors in the Population Included in the Obesity Study in Romania (ORO Study). Acta Endocrinologica (Bucharest). 2016;12(1):47–51. https://doi.org/10.4183/aeb.2016.47
32. Nikolic Turnic T, Jakovljevic V, Strizhkova Z, et al. The Association between Marital Status and Obesity: A Systematic Review and Meta-Analysis. Diseases. 2024 Jul 5;12(7):146–6. https://doi.org/10.3390/diseases12070146
33. Agwa RH, Alkully TH, Alghamdi TA, et al. Prevalence of obesity and its relationship with lifestyle patterns among adults in Al-Baha, Saudi Arabia: A cross-sectional study. Medicine. 2026 Jan 16;105(3):e47038. https://doi.org/10.1097/MD.0000000000047038.
34. Tefera W, Shuremu M, Tadelle A, et al. Magnitude of central obesity and associated factors among adults working in government offices in Bedele town, Buno Bedele zone, Southwest Ethiopia. SAGE Open Medicine. 2022 Jan 1;10: 20503121221105993. https://doi.org/10.1177/20503121221105993
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2026 Husham J. Al-Badri, Sarah M. Al-Bahrani, Ali J. Alwan

This work is licensed under a Creative Commons Attribution 4.0 International License.










Creative Commons Attribution 4.0 International license..