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Assessment of the correlation between the atherogenic index of plasma and cardiometabolic risk factors in children and adolescents: might it be superior to the TG/HDL-C ratio?

  • Nalan Hakime Nogay EMAIL logo
Published/Copyright: August 8, 2017

Abstract

Background:

Most of the studies investigating the correlation between the atherogenic index of plasma (AIP) and cardiometabolic risk factors have been conducted with adults, while only a limited number of related studies that involved children and adolescents has been conducted. The purpose of this study is to assess the correlation between the AIP and other cardiometabolic risk factors in adolescents.

Methods:

This study was conducted with 310 girls and 90 boys who were between the ages of 6 and 18 years. After a 10-h fasting period, the biochemical values of the participants were measured in the morning. The anthropometric measurements of the participants were also taken. The AIP was calculated as Log10 (triglycerides/high density lipoprotein-cholesterol; TG/HDL-C).

Results:

In adolescents between the ages of 12 and 18, the mean AIP of the group with TG ≥130 mg/dL was significantly higher than that of the groups with TG of 90–129 mg/dL and <90 mg/dL. There was a strong correlation between TG and AIP for both boys and girls among the children and adolescents, while there was a strong correlation between the TG/HDL-C ratio and TG only in the boys who were within the 6–11-year-old age group.

Conclusions:

An increase in AIP is associated with cardiovascular risk factors in children and adolescents other than those seen in adults. Based on the TG/HDL-C ratio, the AIP may be superior as a complementary index in the assessment of cardiometabolic risks in children and adolescents.


Corresponding author: Nalan Hakime Nogay, Associated Professor, Erciyes University Faculty of Health Sciences, Department of Nutrition and Dietetics, Kayseri, Turkey

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This work was supported by the Hacettepe University Scientific Research and Development Office, Ankara, Turkey.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Sousa NP, Salvador EP, Barros AK, Polisel CG, Carvalho WR. Anthropometric predictors of abdominal adiposity in adolescents. JEP Online 2016;19:66–76.Search in Google Scholar

2. Kınık ST, Varan B, Yıldırım SV, Tokel K. The effect of obesity on echocardiographic and metabolic parameters in childhood. J Pediatr Endocrinol Metab 2006;19:1007–14.10.1515/JPEM.2006.19.8.1007Search in Google Scholar

3. Sporišević L, Krželj V, Bajraktarević A, Jahić E. Evaluation of cardiovascular risk in school children. Bosn J Basic Med Sci 2009;9:182–6.10.17305/bjbms.2009.2803Search in Google Scholar

4. Bonito P, Moio N, Scilla C, Cavuto L, Sibilio G, et al. Usefulness of the high triglyceride-to HDL cholesterol ratio to identify cardiometabolic risk factors and preclinical signs of organ damage in outpatient children. Diabetes Care 2012;35:158–62.10.2337/dc11-1456Search in Google Scholar

5. Giannini C, Santoro N, Caprio S, Kim G, Lartaud D, et al. The triglyceride-to-HDL cholesterol ratio. Diabetes Care 2011;34: 1869–74.10.2337/dc10-2234Search in Google Scholar

6. Park JM, Lee JY, Dong JJ, Lee DC, Lee YJ. Association between the triglyceride to high-density lipoprotein cholesterol ratio and insulin resistance in Korean adolescents: a nationwide population-based study. J Pediatr Endocrinol Metabol 2016;29: 1259–65.10.1515/jpem-2016-0244Search in Google Scholar

7. Di Bonito, Valerio G, Grugni G, Licenziati MR, Maffeis C, et al. Comparison of non-HDL-cholesterol versus triglycerides-to-HDL cholesterol ratio in relation to cardiometabolic risk factors and preclinical organ damage in overweight/obese children: the CARITALY study. Nutr Metab Cardiovasc Dis 2015;25:489–94.10.1016/j.numecd.2015.01.012Search in Google Scholar

8. Ezeukwu AO, Agwubike EO. Anthropometric measures of adiposity as correlates of atherogenic index of plasma in non-obese sedentary Nigerian males. Libyan J Med 2014;9. http://dx.doi.org/10.3402/ljm.v9.23798.10.3402/ljm.v9.23798Search in Google Scholar

9. Gowda V, Philip KM. Abdominal volume index and conicity index in predicting metabolic abnormalities in young women of different socioeconomic class. Int J Med Sci Public Health 2016;4:1452–6.10.5455/ijmsph.2016.13102015231Search in Google Scholar

10. Taylor RW, Jones IE, Williams SM, Goulding A. Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3–19 y. Am J Clin Nutr 2000;72:490–5.10.1093/ajcn/72.2.490Search in Google Scholar

11. Dobiasova M, Frohlich J. The plasma parameter log (TG/HDL-C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate in apoB-lipoprotein-depleted plasma (FERHDL). Clin Biochem 2001;34:583–8.10.1016/S0009-9120(01)00263-6Search in Google Scholar

12. Edwards MK, Blaha MJ, Loprinzi PD. Influence of sedentary behavior, physical activity and cardiorespiratory fitness on the atherogenic index of plasma. J Clin Lipidol 2017;11:119–25.10.1016/j.jacl.2016.10.014Search in Google Scholar PubMed

13. Shen S, Lu Y, Qi H, Li F, Shen Z, et al. Association between ideal cardiovascular health and the atherogenic index of plasma. Medicine 2016;95:e3866.10.1097/MD.0000000000003866Search in Google Scholar PubMed PubMed Central

14. Bhardwaj S, Bhattacharjee J, Bhatnagar MK, Tyagi S. Atherogenic index of plasma, castelli risk index and atherogenic coefficient-new parameters in assessing cardiovascular risk. Int J Pharm Biol Sci 2013;3:359–64.Search in Google Scholar

15. Pfützner A, Kunt T, Hohberg C, Mondok A, Pahler S, et al. Fasting intact proinsulin is a highly specific predictor of insulin resistance in type 2 diabetes. Diabetes Care 2004;27:682–7.10.2337/diacare.27.3.682Search in Google Scholar PubMed

16. Daniels SR, Benuck I, Christakis DA, et al. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: full report, 2011. National Heart Lung and Blood Institute. Available at: http://www.nhlbi.nih.gov/guidelines/cvd_ped/peds_guidelines_full.pdf. Accessed on September 10, 2016.Accessed on September 10, 2016Search in Google Scholar

17. Zimmet P, Alberti G, Kaufman F, Tajima N, Silink M, et al. The metabolic syndrome in children and adolescents: the IDF consensus. Diabetes Voice 2007;52:29–32.10.1111/j.1399-5448.2007.00271.xSearch in Google Scholar PubMed

18. Romualdoa MC, Nóbregab FJ, Meil MA, Escrivão S. Insulin resistance in obese children and adolescents. J Pediatr (Rio J) 2014;90:600–7.10.1016/j.jped.2014.03.005Search in Google Scholar PubMed

19. Czech DM. Calculator of atherogenic risk. [Online] Available at: URL:http://www.biomed.cas.cz/fgu/aip/calculator.php. Accessed on September 18, 2016.Accessed on September 18, 2016Search in Google Scholar

20. Boye KR, Dimitriou T, Schoenau E. Anthropometric assessment of muscularity during growth: estimating fat-free mass with 2 skinfold-thickness measurements is superior to measuring midupper arm muscle area in healthy prepubertal children. Am J Clin Nutr 2002;76:628–32.10.1093/ajcn/76.3.628Search in Google Scholar PubMed

21. Arjmand G, Shidfar F, Nojoomi MM, Amirfarhangi A. Anthropometric indices and their relationship with coronary artery diseases. Health Scope 2015;4:e25120.10.17795/jhealthscope-25120Search in Google Scholar

22. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaulation and treatment of high blood pressure in children and adolescents. Pediatrics 2004;114:555–76.10.1542/peds.114.S2.555Search in Google Scholar

23. SPSS for Windows Release 15.0. 2006.Search in Google Scholar

24. Onat A, Can G, Kaya H, Hergenc G. Atherogenic index of plasma (log 10 triglyceride/high-density lipoprotein cholesterol) predicts high blood pressure, diabetes, and vascular events. J Clin Lipidol 2010;4:89–98.10.1016/j.jacl.2010.02.005Search in Google Scholar PubMed

25. Murguía-Romero M, Jiménez-Flores JF, Sigrist-Flores SC, Espinoza-Camacho MA, Jiménez-Morales M, et al. Plasma triglyceride/high-density lipoprotein cholesterol ratio, insulin resistance, and cardio-metabolic risk in young adults. J Lipid Res 2013;54:2795–9.10.1194/jlr.M040584Search in Google Scholar PubMed PubMed Central

26. Liang J, Fu J, Jiang Y, Dong G, Wang X, et al. Triglycerides and high-density lipoprotein cholesterol ratio compared with homeostasis model assessment insulin resistance indexes in screening for metabolic syndrome in the Chinese obese children: a cross section study. BMC Pediatr 2015;15:138.10.1186/s12887-015-0456-ySearch in Google Scholar PubMed PubMed Central

27. Quijada Z, Paoli M, Zerpa Y, Camacho N, Cichetti R, et al. The triglyceride/HDL-cholesterol ratio as a marker of cardiovascular risk in obese children; association with traditional and emergent risk factors. Pediatr Diabetes 2008;9:464–71.10.1111/j.1399-5448.2008.00406.xSearch in Google Scholar PubMed

28. Armato J, Reaven G, Ruby R. Triglyceride/high density lipoprotein cholesterol concentration ratio identifies accentuated cardio-metabolic risk. Endocr Practice 2015;21:495–500.10.4158/EP14479.ORSearch in Google Scholar PubMed

29. Niroumand S, Khajedaluee M, Khadem-Rezaiyan M, Abrishami M, Juya M, et al. Atherogenic index of plasma (AIP): a marker of cardiovascular disease. Med J Islam Repub Iran 2015;29:240.Search in Google Scholar

30. Harchaoui KE, Visser ME, Kastelein JJ, Stroes ES, Dallinga-Thie GM. Triglycerides and cardiovascular risk. Curr Cardiol Rev 2009;5:216–22.10.2174/157340309788970315Search in Google Scholar PubMed PubMed Central

31. Muntaha AL. A comparative study for some atherogenic indices in sera of myocardial infarction, ischemic heart disease patients and control. J Nat Sci Res 2012;4:96–102.Search in Google Scholar

32. Soška V, Jarkovský J, Ravčuková B, Tichý L, Fajkusová L, et al. The logarithm of the triglyceride/HDL-cholesterol ratio is related to the history of cardiovascular disease in patients with familial hypercholesterolemia. Clin Biochem 2012;45: 96–100.10.1016/j.clinbiochem.2011.11.001Search in Google Scholar PubMed

33. Millán J, Pintó X, Muñoz A, Zúñiga M, Rubiés-Prat J, et al. Lipoprotein ratios: Physiological significance and clinical usefulness in cardiovascular prevention. Vasc Health Risk Manag 2009;5:757–65.Search in Google Scholar

Received: 2016-12-23
Accepted: 2017-7-20
Published Online: 2017-8-8
Published in Print: 2017-8-28

©2017 Walter de Gruyter GmbH, Berlin/Boston

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