دوره 33، شماره 162 - ( Special Issue 1404 )                   جلد 33 شماره 162 صفحات 165-156 | برگشت به فهرست نسخه ها

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Salman M N, Alyaseen F F, Hussein H A. Association of HOMA-IR with Lipid Profile in Male Cab Drivers in Thi-Qar Governorate, Iraq. J Adv Med Biomed Res 2025; 33 (162) :156-165
URL: http://journal.zums.ac.ir/article-1-7864-fa.html
Association of HOMA-IR with Lipid Profile in Male Cab Drivers in Thi-Qar Governorate, Iraq. Journal of Advances in Medical and Biomedical Research. 1404; 33 (162) :156-165

URL: http://journal.zums.ac.ir/article-1-7864-fa.html


چکیده:   (207 مشاهده)

Background & Objective: The Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) is a widely used indicator for assessing insulin sensitivity and predicting early metabolic dysfunction. Dyslipidemia characterized by abnormal levels of triglycerides, cholesterol, and lipoproteins often accompanies insulin resistance and further contributes to cardiometabolic risks. Occupational groups with prolonged sedentary behavior, such as cab drivers, face increased vulnerability to metabolic disturbances due to limited physical activity, irregular eating habits, long working hours, and heightened stress levels. In the Thi-Qar Governorate of Iraq, male cab drivers represent a population at potential risk of developing metabolic abnormalities; however, limited research has investigated the relationship between insulin resistance and lipid profile in this group. Understanding this association is essential for identifying early markers of metabolic risk and guiding preventive health strategies for this underserved occupational population.
 Materials & Methods: Eighty apparently healthy male cab drivers aged 20–61 years were enrolled in this cross-sectional study. Clinical evaluations included lipid profile analysis, measurement of body mass index (BMI) and waist-to-hip ratio (WHR), and fasting blood sampling to calculate HOMA-IR. These variables were assessed to determine potential relationships between insulin resistance and lipid metabolism.
Results:  A considerable proportion of participants showed elevated HOMA-IR values, along with increased levels of LDL-c, triglycerides, and total cholesterol above normal reference limits. Many individuals also exhibited high BMI and WHR values and reported extended daily work hours. HOMA-IR demonstrated significant positive correlations with WHR, triglycerides, LDL-c, and total cholesterol, while showing an inverse relationship with HOMA-IR and high-density lipoprotein cholesterol levels.
Conclusion:  Significant alterations in anthropometric measures and lipid profiles were observed even among individuals without clinically evident disease. Elevated lipid levels were strongly associated with increased insulin resistance and higher blood insulin levels. The findings suggest that insulin resistance plays a key role in the development of dyslipidemia in seemingly healthy working populations. To help prevent metabolic complications, our findings emphasize the importance of maintaining overall physical health, particularly by keeping BMI and WHR within healthy ranges.

متن کامل [PDF 520 kb]   (11 دریافت)    
نوع مطالعه: گزارش موردی | موضوع مقاله: Clinical Medicine
دریافت: 1404/7/5 | پذیرش: 1404/8/24 | انتشار: 1404/10/8

فهرست منابع
1. Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271-81. [DOI:10.1016/j.diabres.2018.02.023]
2. Ke C, Narayan KMV, Chan JCN, Jha P, Shah BR. Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations. Nat Rev Endocrinol. 2022;18(7):413-32. [DOI:10.1038/s41574-022-00669-4] [PMID] [PMCID]
3. Galicia-Garcia U, Benito-Vicente A, Jebari S, Larrea-Sebal A, Siddiqi H, Uribe KB, et al. Pathophysiology of Type 2 Diabetes Mellitus. Int J Mol Sci. 2020;21(17):6275. [DOI:10.3390/ijms21176275] [PMCID]
4. Wondmkun YT. Obesity, Insulin Resistance, and Type 2 Diabetes: Associations and Therapeutic Implications. Diabetes Metab Syndr Obes. 2020;13:3611-6. [DOI:10.2147/DMSO.S275898] [PMID] [PMCID]
5. Vergès B. Lipid disorders in type 1 diabetes. Diabetes Metab. 2009;35(5):353-60. [DOI:10.1016/j.diabet.2009.04.004] [PMID]
6. Hirano T. Pathophysiology of Diabetic Dyslipidemia. J Atheroscler Thromb. 2018;25(9):771-82. [DOI:10.5551/jat.RV17023] [PMCID]
7. Song Y, Manson JE, Tinker L, Howard BV, Kuller LH, Nathan L, et al. Insulin sensitivity and insulin secretion determined by homeostasis model assessment and risk of diabetes in a multiethnic cohort of women: the Women's Health Initiative Observational Study. Diabetes Care. 2007;30(7):1747-52. [DOI:10.2337/dc07-0358] [PMID] [PMCID]
8. Sniderman A, Durrington P. Lipids and lipoproteins. Fast Facts: Hyperlipidemia S Karger AG2021. pp. 7-18. [DOI:10.1159/isbn.978-3-318-06787-3]
9. Spitler KM, Davies BSJ. Aging and plasma triglyceride metabolism. J Lipid Res. 2020;61(8):1161-7. [DOI:10.1194/jlr.R120000922] [PMID] [PMCID]
10. Wasserstein RL, Lazar NA. The ASA statement on p-values: context, process, and purpose. Taylor & Francis; 2016. pp. 129-33. [DOI:10.1080/00031305.2016.1154108]
11. Manjareeka M, Nanda S, Mishra J, Mishra S. Correlation between anthropometry and lipid profile in healthy subjects of Eastern India. J Midlife Health. 2015;6(4):164-8. [DOI:10.4103/0976-7800.172302] [PMID] [PMCID]
12. Ferrier DR. Biochemistry: Lippincott Williams & Wilkins; 2014.
13. Singh P, Kapil U, Dey AB. Prevalence of overweight and obesity amongst elderly patients attending a geriatric clinic in a tertiary care hospital in Delhi, India. Indian J Med Sci. 2004;58(4):162-3.
14. Dela F, von Linstow ME, Mikines KJ, Galbo H. Physical training may enhance beta-cell function in type 2 diabetes. Am J Physiol Endocrinol Metab. 2004;287(5):E1024-31. [DOI:10.1152/ajpendo.00056.2004] [PMID]
15. Butler AE, Janson J, Bonner-Weir S, Ritzel R, Rizza RA, Butler PC. Beta-cell deficit and increased beta-cell apoptosis in humans with type 2 diabetes. Diabetes. 2003;52(1):102-10. [DOI:10.2337/diabetes.52.1.102] [PMID]
16. Himabindu Y, Sriharibabu M, Alekhya K, Saisumanth K, Lakshmanrao N, Komali K. Correlations between anthropometry and lipid profile in type 2 diabetics. Indian J Endocrinol Metab. 2013;17(4):727-9. [DOI:10.4103/2230-8210.113769] [PMID]
17. Slentz CA, Tanner CJ, Bateman LA, Durheim MT, Huffman KM, Houmard JA, et al. Effects of exercise training intensity on pancreatic beta-cell function. Diabetes Care. 2009;32(10):1807-11. [DOI:10.2337/dc09-0032] [PMID] [PMCID]
18. Narendran P, Solomon TP, Kennedy A, Chimen M, Andrews RC. The time has come to test the beta cell preserving effects of exercise in patients with new onset type 1 diabetes. Diabetologia. 2015;58(1):10-8. [DOI:10.1007/s00125-014-3412-8]
19. So A, Sakaguchi K, Okada Y, Morita Y, Yamada T, Miura H, et al. Relation between HOMA-IR and insulin sensitivity index determined by hyperinsulinemic-euglycemic clamp analysis during treatment with a sodium-glucose cotransporter 2 inhibitor. Endocr J. 2020;67(5):501-7. [DOI:10.1507/endocrj.EJ19-0445] [PMID]
20. Khalili D, Khayamzadeh M, Kohansal K, Ahanchi NS, Hasheminia M, Hadaegh F, et al. Are HOMA-IR and HOMA-B good predictors for diabetes and pre-diabetes subtypes?. BMC Endocr Disord. 2023;23(1):39. [DOI:10.1186/s12902-023-01291-9] [PMID] [PMCID]
21. Adiga U, Kathyayani N, Pb I. Comparison of different models of insulin resistance in T2DM: A crosssectional study. Biomed Res. 2019;30(10.35841):175-8. [DOI:10.35841/biomedicalresearch.30-19-027]

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