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Body fat distribution in trunk and legs are associated with cardiometabolic risk clustering among Chinese adolescents aged 10–18 years old

  • Qingmei Yang , Ping Ma , Hao Zhang , Rongrong Cai , Yangyang Dong and Wenqing Ding EMAIL logo
Published/Copyright: April 7, 2021

Abstract

Objectives

The aim of the present study was to evaluate the association of body fat distribution with cardiometabolic risk factors clustering among Chinese adolescents.

Methods

In this cross sectional study a total of 1,175 adolescents aged 10–18 years underwent a comprehensive assessment of cardimetabolic risk factors. Body fat analysis was performed with bioelectrical impedance analysis (BIA).

Results

Individuals with the CVRFs≥1 or CVRFs≥2 had higher indices of body fat distribution such as body fat mass (BFM) compared to those with normal CVRFs (all p<0.001). The prevalence of CVRFs≥1, CVRFs≥2 increased with increasing of the quartile of BFM, TBFM, ABFM, LBFM, PBF, VFL compared to normal subjects. After adjusted for age and sex, the study indicated an linear relationship between TBFM (β = 0.693, 95% CI:0.363, 1.023), LBFM (β = −1.471, 95% CI:−2.768, −0.175) and CVRFs z-score. Logistic regression models suggested TBFM was associated with CVRFs≥1 and CVRFs≥2 by higher odds. Lower odds of LBFM was associated with CVRFs≥2.

Conclusions

The contribution of the fat mass in specific region on the cardiovascular risk factors clustering is different among adolescents. The trunk fat is associated with higher clustered cardiometabolic risk, while leg fat mass is the protective factor.


Corresponding author: Wenqing Ding, Department of Pediatrics Health, School of Public Health and Management, Ningxia Medical University, Shengli Street, Xinqing District, Yinchuan, Ningxia, 750004, China, E-mail:

Funding source: National Science Foundation of China

Award Identifier / Grant number: 81660565

  1. Research funding: Project supported by the National Science Foundation of China (Grant No. 81660565).

  2. Author contribution: Study concepts: Qingmei Yang, Wenqing Ding. Study design: Qingmei Yang, Ping Ma, Hao Zhang, Rongrong Cai, Yangyang Dong, Wenqing Ding. Data collection: Qingmei Yang, Ping Ma, Hao Zhang, Rongrong Cai, Yangyang Dong, Wenqing Ding. Data analysis: Qingmei Yang. Manuscript: Qingmei Yang. Manuscript review: Qingmei Yang, Wenqing Ding.

  3. Competing interests: The authors declare that they have no conflict of interest

  4. Informed consent: Written informed consent was obtained before collecting materials.

  5. Ethics approval: The study protocols were approved by the Ethics Review Committee of Ningxia Medical University (No. 2016-123).

References

1. Naghavi, M, Wang, H, Lozano, R, Davis, A, Liang, X, Zhou, M, et al.. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015;385:117–71.10.1016/S0140-6736(14)61682-2Search in Google Scholar

2. Abarca-Gómez, L, Abdeen, ZA, Hamid, ZA, Abu-Rmeileh, NM, Acosta-Cazares, B, Acuin, C, et al.. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet 2017;390:2627–42.10.1016/S0140-6736(17)32129-3Search in Google Scholar

3. Schmidt, MI, Duncan, BB, e Silva, GA, Menezes, AM, Monteiro, CA, Barreto, SM, et al.. Chronic non-communicable diseases in Brazil: burden and current challenges. Lancet 2011;377:1949–61.10.1016/S0140-6736(11)60135-9Search in Google Scholar

4. Sharma, V, Coleman, S, Nixon, J, Sharples, L, Hamilton‐Shield, J, Rutter, H, et al.. A systematic review and meta-analysis estimating the population prevalence of comorbidities in children and adolescents aged 5 to 18 years. Obes Rev 2019;20:1341–9.10.1111/obr.12904Search in Google Scholar PubMed PubMed Central

5. Kumar, S, Kelly, AS. Review of childhood obesity. Mayo Clin Proc 2017;92:251–65.10.1016/j.mayocp.2016.09.017Search in Google Scholar PubMed

6. Samouda, H, De Beaufort, C, Stranges, S, Guinhouya, BC, Gilson, G, Hirsch, H, et al.. Adding anthropometric measures of regional adiposity to BMI improves prediction of cardiometabolic, inflammatory and adipokines profiles in youths: a cross-sectional study. BMC Pediatr 2015;15:168. https://doi.org/10.1186/s12887-015-0486-5.Search in Google Scholar

7. Ibiza, A-M, Eloisa, C-R, Susana, R-M, Maite, V, Clara, V-A. Performance of waist-to-height ratio, waist circumference, and body mass index in discriminating cardio-metabolic risk factors in a sample of school-aged Mexican children. Nutrients 2018;10:1850.10.3390/nu10121850Search in Google Scholar PubMed PubMed Central

8. Cho, SA, Joo, HJ, Cho, J-Y, Lee, SH, Park, JH, Hong, SJ, et al.. Visceral fat area and serum adiponectin level predict the development of metabolic syndrome in a community-based asymptomatic population. PloS One 2017;12:e0169289.10.1371/journal.pone.0169289Search in Google Scholar PubMed PubMed Central

9. Elffers, TW, de Mutsert, R, Lamb, HJ, de Roos, A, Willems van Dijk, K, Rosendaal, R, et al.. Body fat distribution, in particular visceral fat, is associated with cardiometabolic risk factors in obese women. PloS One 2017;12:e0185403.10.1371/journal.pone.0185403Search in Google Scholar PubMed PubMed Central

10. Turner, RB, Hepworth, G, Wilson, K, Tyrrell, D, Dunshea, FR, Mansfield, CS. Abdominal volume computed tomography assessment of body composition in dogs. BMC Vet Res 2019;15:21. https://doi.org/10.1186/s12917-018-1768-6.Search in Google Scholar

11. Ceniccola, GD, Castro, MG, Piovacari, SMF, Horie, LM, Corrêa, FG, Barrere, APN, et al.. Current technologies in body composition assessment: advantages and disadvantages. Nutrition 2019;62:25–31.10.1016/j.nut.2018.11.028Search in Google Scholar PubMed

12. Hui, F, Yinkun, Y, Jie, M. Updating blood pressure references for Chinese children aged 3–17 years. Chin J Hypertens 2017;25:428–35.Search in Google Scholar

13. Pediatric AAo. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics 2011;128:213–56.10.1542/peds.2009-2107CSearch in Google Scholar PubMed PubMed Central

14. Elagizi, A, Kachur, S, Lavie, CJ, Carbone, S, Pandey, A, Ortega, FB, et al.. An overview and update on obesity and the obesity paradox in cardiovascular diseases. Prog Cardiovasc Dis 2018;61:142–50.10.1016/j.pcad.2018.07.003Search in Google Scholar PubMed

15. Yan, Y, Liu, J, Zhao, X, Cheng, H, Huang, G, Mi, J, et al.. Regional adipose compartments confer different cardiometabolic risk in children and adolescents. Mayo Clin Proc 2019;94:1974–82.10.1016/j.mayocp.2019.05.026Search in Google Scholar PubMed

16. Bin, W, Jingshan, H, Keisuke, F, Kazuhisa, S, Gen, Y, Tsutomu, K. Different associations of trunk and lower-body fat mass distribution with cardiometabolic risk factors between healthy middle-aged men and women. Internet J Endocrinol 2018;2018:1289485.10.1155/2018/1289485Search in Google Scholar

17. Staiano, AE, Gupta, AK, Katzmarzyk, PT. Cardiometabolic risk factors and fat distribution in children and adolescents. J Pediatr 2014;164:560–5.10.1016/j.jpeds.2013.10.064Search in Google Scholar PubMed PubMed Central

18. Duran, I, Martakis, K, Alberg, E, Jackels, M, Ewert, K, Schoenau, E. Association of trunk/leg fat mass ratio with low-density lipoproteins-cholesterol and triglycerides concentration in children and adolescents: a cross-sectional. Retrospect Stud 2020;16:428–39.10.1089/chi.2019.0307Search in Google Scholar PubMed

19. Barbour‐Tuck, EN, Erlandson, MC, Sherar, LB, Eisenmann, JC, Muhajarine, N, Foulds, H, et al.. Relationship between trajectories of trunk fat development in emerging adulthood and cardiometabolic risk at 36 years of age. Obesity 2019;27:1652–60.10.1002/oby.22576Search in Google Scholar PubMed

20. Julien, A, Martine, M, David, T, Michel, T, Pascale, D. Effect of android to gynoid fat ratio on insulin resistance in obese youth. Arch Pediatr Adolesc Med 2009;163:826–31.10.1001/archpediatrics.2009.148Search in Google Scholar PubMed

21. Asal, A-J, Ramin, H, Roya, K, Gelayol, A, Minoosadat, M, Aziz, R, et al.. Generalized or abdominal obesity: which one better identifies cardiometabolic risk factors among children and adolescents? The CASPIAN III study. J Trop Pediatr 2014;60:377–85.10.1093/tropej/fmu033Search in Google Scholar PubMed

22. Czernichow, SC, Kengne, AP, Stamatakis, E, Hamer, M, Batty, GD. Body mass index, waist circumference and waist-hip ratio: which is the better discriminator of cardiovascular disease mortality risk? Evidence from an individual-participant meta-analysis of 82 864 participants from nine cohort studies. Obes Rev 2011;12:680–7.10.1111/j.1467-789X.2011.00879.xSearch in Google Scholar PubMed PubMed Central

23. Abraham, TM, Pedley, A, Massaro, JM, Hoffmann, U, Fox, CS. Association between visceral and subcutaneous adipose depots and incident cardiovascular disease risk factors. Circulation 2015;132:1639–47.10.1161/CIRCULATIONAHA.114.015000Search in Google Scholar PubMed PubMed Central

24. Yan, Y, Liu, J, Zhao, X, Cheng, H, Huang, G, Mi, J, et al.. Abdominal visceral and subcutaneous adipose tissues in association with cardiometabolic risk in children and adolescents: the China Child and Adolescent Cardiovascular Health (CCACH) study. BMJ Open Diabetes Res Care 2019;7:e000824.10.1136/bmjdrc-2019-000824Search in Google Scholar PubMed PubMed Central

25. Sánchez-López, M, Ortega, FB, Moya-Martínez, P, López-Martínez, S, Ortiz-Galeano, I, Gómez-Marcos, MA, et al.. Leg fat might be more protective than arm fat in relation to lipid profile. Eur J Nutr 2013;52:489–95.10.1007/s00394-012-0350-4Search in Google Scholar PubMed

Received: 2020-09-13
Accepted: 2021-02-23
Published Online: 2021-04-07
Published in Print: 2021-06-25

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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