Body mass index as the most influential factor of high-sensitivity C-reactive protein in non-diabetic adults

Article Sidebar

PDF
Published: Jan 21, 2021
DOI: https://doi.org/10.18051/UnivMed.2021.v40.22-28 Universa Medicina
Abstract Viewed: 621
PDF Downloaded: 332
Keywords:
Body mass index waist circumference visceral fat body fat hsCRP

Main Article Content

Winda Mulyamin
Aging and Regenerative Medicine Concentration, Biomedical Magister Programme, Hasanuddin University, Makassar, Indonesia
Liong Boy Kurniawan
Department of Clinical Pathology, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
http://orcid.org/0000-0002-2633-0441
Endy Adnan
Department of Internal Medicine, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
https://orcid.org/0000-0002-1005-629X
Yuyun Widaningsih
Department of Clinical Pathology, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
https://orcid.org/0000-0003-1205-9045
Irfan Idris
Department of Physiology, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
https://orcid.org/0000-0002-7350-8687
Arif Santoso
Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
https://orcid.org/0000-0003-4125-005X
Ika Yustisia
Department of Biochemistry, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
https://orcid.org/0000-0001-7611-968X

Abstract

BACKGROUND
High-sensitivity C-reactive protein (hsCRP) has been widely accepted as a predictor of future cardiovascular risk that reflects a microinflammatory state. Obesity linked to microinflammation increases the prevalence of metabolic disorders and cardiovascular diseases. This study aimed to determine the association between several obesity indices namely body mass index (BMI), waist circumference (WC), body fat percentage (fat), and visceral fat (VF) with hsCRP in non-diabetic adults.

METHODS
This was a cross-sectional study performed on 80 non-diabetic adults with ages ranging from 20-40 years. The obesity indices BMI, WC, body fat percentage, and VF were measured. We then measured the hsCRP levels using an immunoturbidimetric method. Simple and multiple linear regression tests were used to analyze the association between obesity indices and hsCRP levels.

RESULTS
Mean of log BMI, log WC, and log VF was 1.41 ± 0.08 kg/m2, 1.93 ± 0.06 cm, and 0.95 ± 0.27 units, respectively. Simple linear regression tests showed that log BMI (α=3.506; p<0.001), log WC (α=3.672; p<0.001), log VF (α=0.833; p<0.001), and log systolic blood pressure (α=3.739; p=0.024) had a significant positive correlation with log hsCRP levels. Further multiple linear regression test showed that log BMI (α=3.772; Beta=0.674; p<0.001) had the greater effect on log hsCRP levels compared to other indices.

CONCLUSIONS    
BMI had a greater influence on hsCRP levels compared to other obesity indices in non-diabetic adults. Body mass index can be used as a better index in predicting hsCRP levels compared to other indices.

Article Details

How to Cite
Mulyamin, W., Kurniawan, L. B., Adnan, E., Widaningsih, Y., Idris, I., Santoso, A., & Yustisia, I. (2021). Body mass index as the most influential factor of high-sensitivity C-reactive protein in non-diabetic adults. Universa Medicina, 40(1), 22–28. https://doi.org/10.18051/UnivMed.2021.v40.22-28
Issue
Vol. 40 No. 1 (2021)
Section
Original Articles
Creative Commons License

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

The journal allows the authors to hold the copyright without restrictions and allow the authors to retain publishing rights without restrictions.

References

Salazar J, Martínez MS, Chávez-Castillo M, et al. C-reactive protein: an in-depth look into structure, function, and regulation. Int Sch Res Notices 2014; Article ID 653045. doi: 10.1155/2014/653045.

Fonseca FAH, Izar MCO. High-sensitivity C-reactive protein and cardiovascular disease across countries and ethnicities. Clinics 2016;71: 235-42. doi: 10.6061/clinics/2016(04)11.

Salazar J, Martínez MS, Chávez M, et al. C-reactive protein: clinical and epidemiological perspectives. Cardiol Res Pract 2014; Article ID 605810. doi: 10.1155/2014/605810.

Mansyur MA, Bakri S, Patellongi IJ, Rahman IA. The association between metabolic syndrome components, low-grade systemic inflammation and insulin resistance in non-diabetic Indonesian adolescent male. Clin Nutr ESPEN 2020;35:69-74. doi: 10.1016/j.clnesp.2019.12.001.

Després JP. Body fat distribution and risk of cardiovascular disease: an update. Circulation 2012;126:1301-13. doi: 10.1161/CIRCULATIONAHA.111.067264.

Sadanand CD, Anitha J, Raveesh PM. Relation between high sensitivity c reactive protein to obesity among Indians. Int J Med Sci Public Health 2015;4:1523-6. doi: 10.5455/ijmsph.2015. 280420153141.

Lavanya K, Ramamoorthi K, Acharya RV, Madhyastha SP. Association between overweight, obesity in relation to serum hs-crp levels in adults 20-70 years. J Clin Diagn Res 2017;11:OC32-OC5. doi: 10.7860/JCDR/2017/32422.11005.

Marques-Vidal P, Bochud M, Bastardot F, et al. Association between inflammatory and obesity markers in a Swiss population-based sample (CoLaus study). Obes Facts 2012;5:734-44. doi: 10.1159/000345045.

Farooq SN, Ahmed A, Mustufa MA, Rizvi MIS, Serafi AHS, Khan AA. High sensitivity C-reactive protein level increases with rise in body mass index and not affected by perceived stress in young Saudis. Ann Med Health Sci Res 2017;7: 224-9.

Stepien M, Stepien A, Wlazel RN, et al. Obesity indices and inflammatory markers in obese non-diabetic normo- and hypertensive patients: a comparative pilot study. Lipids Health Dis 2014;13: 29. doi: 10.1186/1476-511X-13-29.

Mahwati Y, Nurrika D. Obesity indicators and C-reactive protein in Indonesian adults (more than equal to 40 years old): the Indonesian family life survey 5. Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal) 2020;15: 169-74. doi: 10.21109/kesmas.v15i3.3296.

Norshafawati AA, Rosita J, Norhaizan ME. Body mass index as the predictor of high sensitivity C-reactive protein: a risk marker of cardiovascular diseases. Mal J Nutr 2014;20:291-301.

Kawamoto R, Kusunoki T, Abe M, Kohara K, Miki T. An association between body mass index and high-sensitivity c-reactive protein concentrations is influenced by age in community-dwelling persons. Ann Clin Biochem 2013;50:457-64. doi: 10.1177/0004563212473445.

Namburi RP, Ponnala AR, Karthik TS, Rani PR, Maheshwari R. A study on metabolic variables and its association with high sensitive C-reactive protein in obese children and adolescents. Indian J Endocr Metab 2013;17(Suppl 1):S360-S2. doi: 10.4103/2230-8210.119623.

Cercato C, Fonseca FA. Cardiovascular risk and obesity. Diabetol Metab Syndr 2019;11:74. doi: 10.1186/s13098-019-0468-0.

Muller MJ, Geisler C. Defining obesity as a disease. Eur J Clinl Nutr 2017;71:1256-8. doi: 10.1038/ejcn.2017.155.

Oussaada SM, van Galen KA, Cooiman MI, et al. The pathogenesis of obesity. Metabolism 2019;92:26-36. doi: 10.1016/j.metabol.2018.12.012.

Gadde KM, Martin CK, Berthoud HR, Heymsfield SB. Obesity: pathophysiology and management. J Am Coll Cardiol 2018;71:69-84. doi: 10.1016/j.jacc.2017. 11.011.

Frasca D, Blomberg BB, Paganelli R. Aging, obesity, and inflammatory age-related diseases. Front Immunol 2017;8:Article 1745. doi: 10.3389/fimmu.2017.01745.

Jura M, Kozak LP. Obesity and related consequences to ageing. Age 2016;38:23. doi: 10.1007/s11357-016-9884-3.

Csige I, Ujvarosy D, Szabo Z, et al. The impact of obesity on the cardiovascular system. J Diabetes Res 2018; Article ID 3407306. doi: 10.1155/2018/3407306.

Yousuf O, Mohanty BD, Martin SS, et al. High-sensitivity c-reactive protein and cardiovascular disease: a resolute belief or an elusive link?. J Am Coll Cardiol 2013;62:397-408. doi: 10.1016/j.jacc. 2013.05.016.