skip to main content

Correlation of Obesity Status with Zinc Serum Levels and Insulin Resistance in Perimenopause Obese Women

Heidi Listya  -  Clinical Nutrition Department, Faculty of Medicine, Diponegoro University / Kariadi Hospital Semarang, Indonesia
Muhammad Sulchan orcid  -  Clinical Nutrition Specialist Program, Faculty of Medicine, Diponegoro University, Indonesia
*Etisa Adi Murbawani orcid  -  Clinical Nutrition Specialist Program, Faculty of Medicine, Diponegoro University, Indonesia
Niken Puruhita orcid  -  Clinical Nutrition Specialist Program, Faculty of Medicine, Diponegoro University, Indonesia
Amalia Sukmadianti  -  Clinical Nutrition Specialist Program, Faculty of Medicine, Diponegoro University, Indonesia
Open Access Copyright (c) 2020 Diponegoro International Medical Journal
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract

Background : Obesity is one of the global health problems. The prevalence of obesity in women is higher than men. Various metabolic problems are caused by obesity, such as insulin resistance and deficiency of micronutrients such as zinc. The occurrence of insulin resistance in obesity is also influenced by zinc deficiency.

Objectives : To analyse the correlation of obesity status with serum zinc levels and insulin resistance in perimenopause obese women.

Methods : Correlational research with 62 perimenopause obese women subject aged  40-50 years old who met the inclusion and exclusion criteria. Serum zinc levels were measurement using AAS and insulin resistance using HOMA IR formula.  Serum zinc levels, fasting insulin, fasting blood glucose taken from venous blood. Hypothesis testing uses Pearson correlation.

Results : 12.9% had low serum zinc levels and high HOMA IR 9.09%. There was a significant negative correlation between BMI with serum zinc levels   (r = -0.402; p = 0.001) and significant positive correlation between BMI   with insulin resistance (r = 0.396; p = 0.001). There was a significant negative correlation between WC with serum zinc levels    (r = -0.18 , p = 0.161) and significant positive correlation between WC with insulin resistance ( r =0.284  , p =0.025  ). and significant negative correlation between serum zinc levels with insulin resistance (r = -0.404; p = 0.001).

Conclusion : There is a correlation between obesity status with serum zinc levels  and correlation between obesity status with insulin resistance  in perimenopause obese women.
Fulltext View|Download
Keywords: insulin-resistance; obese-women; obesity-status; serum-zinc-levels
Funding: No specific funding was provided for this article

Article Metrics:

  1. Chen Y, Peng Q, Yang Y, et al. The prevalence and increasing trends of overweight, general obesity, and abdominal obesity among Chinese adults: a repeated cross-sectional study. BMC Public Health 2019; 19: 1293. https://doi.org/10.1186/s12889-019-7633-0
  2. Hubbard VS. Defining overweight and obesity: what are the issues? The American Journal of Clinical Nutrition 2000; 72: 1067-1068. https://doi.org/10.1093/ajcn/72.5.1067
  3. Nuttall FQ. Body Mass Index: Obesity, BMI, and Health. Nutrition Today 2015; 50: 117-128. https://doi.org/10.1097/NT.0000000000000092
  4. Müller MJ, Geisler C. Defining obesity as a disease. Eur J Clin Nutr 2017; 71: 1256-1258. https://doi.org/10.1038/ejcn.2017.155
  5. Heianza Y, Qi L. Genetics of Central Obesity and Body Fat. In: Nutrition in the Prevention and Treatment of Abdominal Obesity. Elsevier, pp. 153-174. https://doi.org/10.1016/B978-0-12-816093-0.00014-8
  6. Jonathan Q Purnell, MD. Definitions, Classification, and Epidemiology of Obesity. Endotext Online, 2018
  7. Lumish HS, O'Reilly M, Reilly MP. Sex Differences in Genomic Drivers of Adipose Distribution and Related Cardiometabolic Disorders: Opportunities for Precision Medicine. ATVB 2020; 40: 45-60. https://doi.org/10.1161/ATVBAHA.119.313154
  8. Pickett-Blakely O, Uwakwe L, Rashid F. Obesity in Women. Gastroenterology Clinics of North America 2016; 45: 317-331. https://doi.org/10.1016/j.gtc.2016.02.008
  9. Hardy OT, Czech MP, Corvera S. What causes the insulin resistance underlying obesity?: Current Opinion in Endocrinology & Diabetes and Obesity 2012; 19: 81-87. https://doi.org/10.1097/MED.0b013e3283514e13
  10. Ye J. Mechanisms of insulin resistance in obesity. Front Med 2013; 7: 14-24. https://doi.org/10.1007/s11684-013-0262-6
  11. Olechnowicz J, Tinkov A, Skalny A, et al. Zinc status is associated with inflammation, oxidative stress, lipid, and glucose metabolism. The Journal of Physiological Sciences 2018; 68: 19-31. https://doi.org/10.1007/s12576-017-0571-7
  12. Mehdi Hedayati MRN, Ali Emami, Mojgan Asadi. Mutual Interaction between Obesity and Zinc Deficiency. J J Obesity 2016; 2: 1-6
  13. Rosalind S. Gibson. Principles of Nutritional Assessment. second edition. Oxford University Press
  14. Neelambikai. N PRaniN. To Study The Effect of The Body Mass Index and Waist Hip Ratio on Blood Pressure in Pre- and Post-Menopausal Women. Int J Med Res Health Sci 2013; 2: 593-596. https://doi.org/10.5958/j.2319-5886.2.3.104
  15. Chukwuma CI, Mashele SS, Eze KC, et al. A comprehensive review on zinc(II) complexes as anti-diabetic agents: The advances, scientific gaps and prospects. Pharmacological Research 2020; 155: 104744. https://doi.org/10.1016/j.phrs.2020.104744
  16. Adachi Y, Yoshida J, Kodera Y, et al. A new insulin-mimetic bis(allixinato)zinc(II) complex: structure?activity relationship of zinc(II) complexes. J Biol Inorg Chem 2004; 9: 885-893. https://doi.org/10.1007/s00775-004-0590-8
  17. Vardatsikos G, Pandey NR, Srivastava AK. Insulino-mimetic and anti-diabetic effects of zinc. Journal of Inorganic Biochemistry 2013; 120: 8-17. https://doi.org/10.1016/j.jinorgbio.2012.11.006
  18. Ruz M, Carrasco F, Rojas P, et al. Nutritional Effects of Zinc on Metabolic Syndrome and Type 2 Diabetes: Mechanisms and Main Findings in Human Studies. Biol Trace Elem Res 2019; 188: 177-188. https://doi.org/10.1007/s12011-018-1611-8
  19. Savage DB, Petersen KF, Shulman GI. Mechanisms of Insulin Resistance in Humans and Possible Links With Inflammation. Hypertension 2005; 45: 828-833. https://doi.org/10.1161/01.HYP.0000163475.04421.e4
  20. Petersen KF, Shulman GI. Etiology of Insulin Resistance. The American Journal of Medicine 2006; 119: S10-S16. https://doi.org/10.1016/j.amjmed.2006.01.009
  21. Sesti G. Pathophysiology of insulin resistance. Best Practice & Research Clinical Endocrinology & Metabolism 2006; 20: 665-679. https://doi.org/10.1016/j.beem.2006.09.007
  22. Tremblay F, Lavigne C, Jacques H, et al. Defective Insulin-Induced GLUT4 Translocation in Skeletal Muscle of High Fat-Fed Rats Is Associated With Alterations in Both Akt/Protein Kinase B and Atypical Protein Kinase C ( / ) Activities. Diabetes 2001; 50: 1901-1910. https://doi.org/10.2337/diabetes.50.8.1901
  23. Garvey WT, Maianu L, Zhu JH, et al. Evidence for defects in the trafficking and translocation of GLUT4 glucose transporters in skeletal muscle as a cause of human insulin resistance. J Clin Invest 1998; 101: 2377-2386. https://doi.org/10.1172/JCI1557
  24. Favaretto F, Milan G, Collin GB, et al. GLUT4 Defects in Adipose Tissue Are Early Signs of Metabolic Alterations in Alms1GT/GT, a Mouse Model for Obesity and Insulin Resistance. PLoS ONE 2014; 9: e109540. https://doi.org/10.1371/journal.pone.0109540
  25. Perreault K, Lagacé J-C, Brochu M, et al. Association between fat free mass and glucose homeostasis: Common knowledge revisited. Ageing Research Reviews 2016; 28: 46-61. https://doi.org/10.1016/j.arr.2016.04.007
  26. Colak A, Diniz G. Impaired Glucose Tolerance, Obesity and Inflammatory Mediators. In: Chackrewarthy S (ed) Glucose Tolerance. InTech. Epub ahead of print 12 December 2012. DOI: 10.5772/52378.https://doi.org/10.5772/52378
  27. Fonseca ÉJN da C, Figueredo Neto JA de, Rocha TPO, et al. Metabolic Syndrome and Insulin Resistance by HOMA-IR in Menopause. International Journal of Cardiovascular Sciences. Epub ahead of print 2018. DOI: 10.5935/2359-4802.20180009.https://doi.org/10.5935/2359-4802.20180009
  28. Wallace TM, Levy JC, Matthews DR. Use and Abuse of HOMA Modeling. Diabetes Care 2004; 27: 1487-1495. https://doi.org/10.2337/diacare.27.6.1487

Last update:

No citation recorded.

Last update:

No citation recorded.