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

被引:4
作者
Yang, Qingmei [1 ]
Ma, Ping [1 ]
Zhang, Hao [1 ]
Cai, Rongrong [1 ]
Dong, Yangyang [1 ]
Ding, Wenqing [1 ]
机构
[1] Ningxia Med Univ, Sch Publ Hlth & Management, Dept Pediat Hlth, Shengli St, Yinchuan 750004, Ningxia, Peoples R China
基金
美国国家科学基金会;
关键词
adolescents; body fat distribution; cardiometabolic risk factors; CHILDREN;
D O I
10.1515/jpem-2020-0533
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives: The aim of the present study was to evaluate the association of body fat distributionwith 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 (beta = 0.693, 95% CI:0.363, 1.023), LBFM (beta = -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.
引用
收藏
页码:721 / 726
页数:6
相关论文
共 25 条
  • [1] Association Between Visceral and Subcutaneous Adipose Depots and Incident Cardiovascular Disease Risk Factors
    Abraham, Tobin M.
    Pedley, Alison
    Massaro, Joseph M.
    Hoffmann, Udo
    Fox, Caroline S.
    [J]. CIRCULATION, 2015, 132 (17) : 1639 - 1647
  • [2] 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
    Aguilar-Morales, Ibiza
    Colin-Ramirez, Eloisa
    Rivera-Mancia, Susana
    Vallejo, Maite
    Vazquez-Antona, Clara
    [J]. NUTRIENTS, 2018, 10 (12)
  • [3] [Anonymous], LANCET, DOI DOI 10.1016/S0140-6736(14)61682-2
  • [4] Generalized or Abdominal Obesity: Which One Better Identifies Cardiometabolic Risk Factors among Children and Adolescents? The CASPIAN III Study
    Ataie-Jafari, Asal
    Heshmat, Ramin
    Kelishadi, Roya
    Ardalan, Gelayol
    Mahmoudarabi, Minoosadat
    Rezapoor, Aziz
    Motlagh, Mohammad Esmaeil
    Asayesh, Hamid
    Larijani, Bagher
    Qorbani, Mostafa
    [J]. JOURNAL OF TROPICAL PEDIATRICS, 2014, 60 (05) : 377 - 385
  • [5] Effect of Android to Gynoid Fat Ratio on Insulin Resistance in Obese Youth
    Aucouturier, Julien
    Meyer, Martine
    Thivel, David
    Taillardat, Michel
    Duche, Pascale
    [J]. ARCHIVES OF PEDIATRICS & ADOLESCENT MEDICINE, 2009, 163 (09): : 826 - 831
  • [6] Relationship Between Trajectories of Trunk Fat Development in Emerging Adulthood and Cardiometabolic Risk at 36 Years of Age
    Barbour-Tuck, Erin N.
    Erlandson, Marta C.
    Sherar, Lauren B.
    Eisenmann, Joey C.
    Muhajarine, Nazeem
    Foulds, Heather
    Vatanparast, Hassan
    Nisbet, Christine
    Kontulainen, Saija
    Baxter-Jones, Adam D. G.
    [J]. OBESITY, 2019, 27 (10) : 1652 - 1660
  • [7] Bin W, 2018, INTERNET J ENDOCRINO, V2018
  • [8] Current technologies in body composition assessment: advantages and disadvantages
    Ceniccola, Guilherme Duprat
    Castro, Melina Gouveia
    Fraga Piovacari, Silvia Maria
    Horie, Lilian Mika
    Correa, Fabiano Girade
    Noronha Barrere, Ana Paula
    Toledo, Diogo Oliveira
    [J]. NUTRITION, 2019, 62 : 25 - 31
  • [9] Visceral Fat Area and Serum Adiponectin Level Predict the Development of Metabolic Syndrome in a Community-Based Asymptomatic Population
    Cho, Sang-A
    Joo, Hyung Joon
    Cho, Jae-Young
    Lee, Seung Hun
    Park, Jae Hyoung
    Hong, Soon Jun
    Yu, Cheol Woong
    Lim, Do-Sun
    [J]. PLOS ONE, 2017, 12 (01):
  • [10] 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
    Czernichow, S.
    Kengne, A. -P.
    Stamatakis, E.
    Hamer, M.
    Batty, G. D.
    [J]. OBESITY REVIEWS, 2011, 12 (09) : 680 - 687