BMI metrics and their association with adiposity, cardiometabolic risk factors, and biomarkers in children and adolescents

被引:13
|
作者
Bramante, Carolyn T. [1 ,2 ]
Palzer, Elise F. [3 ,4 ]
Rudser, Kyle D. [1 ,3 ,4 ]
Ryder, Justin R. [1 ,5 ]
Fox, Claudia K. [1 ,5 ]
Bomberg, Eric M. [1 ,5 ]
Bensignor, Megan O. [1 ,5 ]
Gross, Amy C. [1 ,5 ]
Sherwood, Nancy E. [6 ]
Kelly, Aaron S. [1 ,6 ]
机构
[1] Univ Minnesota, Ctr Pediat Obes Med, Med Sch, Minneapolis, MN 55455 USA
[2] Univ Minnesota, Div Gen Internal Med, Med Sch, Minneapolis, MN 55455 USA
[3] Univ Minnesota, Sch Publ Hlth & Biostat Design, Minneapolis, MN USA
[4] Univ Minnesota, Anal Ctr, Minneapolis, MN USA
[5] Univ Minnesota, Dept Pediat, Med Sch, Minneapolis, MN USA
[6] Univ Minnesota, Sch Publ Hlth, Div Epidemiol & Community Hlth, Minneapolis, MN USA
基金
美国国家卫生研究院;
关键词
BODY-MASS INDEX; Z-SCORES; OBESITY; IDENTIFICATION; DISEASE; TISSUE; FAT; AGE;
D O I
10.1038/s41366-021-01006-x
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background There are limited data comparing the relative associations of various BMI metrics with adiposity and cardiometabolic risk factors in youth. Objective Examine correlations of 7 different BMI metrics with adiposity, cardiometabolic risk factors, and biomarkers (i.e. blood pressure, waist circumference, cholesterol, leptin, insulin, high molecular weight adiponectin, high-sensitivity c-reactive protein (hsCRP)). Methods This was a cross-sectional analysis of youth in all BMI categories. BMI metrics: BMI z-score (BMIz), extended BMIz (ext.BMIz), BMI percentile (BMIp), percent of the BMI 95th percentile (%BMIp95), percent of the BMI median (%BMIp50), triponderal mass index (TMI), and BMI (BMI). Correlations between these BMI metrics and adiposity, visceral adiposity, cardiometabolic risk factors and biomarkers were summarized using Pearson's correlations. Results Data from 371 children and adolescents ages 8-21 years old were included in our analysis: 52% were female; 20.2% with Class I obesity, 20.5% with Class II, and 14.3% with Class III obesity. BMIp consistently demonstrated lower correlations with adiposity, risk factors, and biomarkers (r = 0.190-0.768) than other BMI metrics. The %BMIp95 and %BMIp50 were marginally more strongly correlated with measures of adiposity as compared to other BMI metrics. The ext.BMIz did not meaningfully outperform BMIz. Conclusion Out of all the BMI metrics evaluated, %BMIp95 and %BMIp50 were the most strongly correlated with measures of adiposity. %BMIp95 has the benefit of being used currently to define obesity and severe obesity in both clinical and research settings. BMIp consistently had the lowest correlations. Future research should evaluate the longitudinal stability of various BMI metrics and their relative associations with medium to long-term changes in adiposity and cardiometabolic outcomes in the context of intervention trials.
引用
收藏
页码:359 / 365
页数:7
相关论文
共 50 条
  • [21] BMI Z-Score (SDS) versus Calculated Body Fat Percentage: Association with Cardiometabolic Risk Factors in Obese Children and Adolescents
    Joisten, Christine
    Wessely, Stefanie
    Prinz, Nicole
    Wiegand, Susanna
    Gohlke, Bettina
    Keiser, Sabine
    Moliterno, Paula
    Nielinger, Jens
    Torbahn, Gabriel
    Wulff, Hagen
    Holl, Reinhard W.
    ANNALS OF NUTRITION AND METABOLISM, 2024, 80 (01) : 29 - 36
  • [22] Association between adiposity indices and cardiometabolic risk factors in Puerto Ricans
    Palacios, Cristina
    Perez, Cynthia M.
    Guzman, Manuel
    Ortiz, Ana P.
    Ayala, Aleli
    Suarez, Erick
    FASEB JOURNAL, 2011, 25
  • [23] Association of Parental Overweight and Cardiometabolic Diseases and Pediatric Adiposity and Lifestyle Factors with Cardiovascular Risk Factor Clustering in Adolescents
    Lee, Chun-Ying
    Lin, Wei-Ting
    Tsai, Sharon
    Hung, Yu-Chan
    Wu, Pei-Wen
    Yang, Yu-Cheng
    Chan, Te-Fu
    Huang, Hsiao-Ling
    Weng, Yao-Lin
    Chiu, Yu-Wen
    Huang, Chia-Tsuan
    Lee, Chien-Hung
    NUTRIENTS, 2016, 8 (09)
  • [24] Association of urinary concentrations of phthalate metabolites with cardiometabolic risk factors and obesity in children and adolescents
    Amin, Mohammad Mehdi
    Ebrahimpour, Karim
    Parastar, Saeed
    Shoshtari-Yeganeh, Bahareh
    Hashemi, Majid
    Mansourian, Marjan
    Poursafa, Parinaz
    Fallah, Zahra
    Rafiei, Nasim
    Kelishadi, Roya
    CHEMOSPHERE, 2018, 211 : 547 - 556
  • [25] Cardiometabolic Risk Factors and Fat Distribution in Children and Adolescents
    Staiano, Amanda E.
    Gupta, Alok K.
    Katzmarzyk, Peter T.
    JOURNAL OF PEDIATRICS, 2014, 164 (03): : 560 - 565
  • [26] PRENATAL RISK FACTORS AND DEGREE OF ADIPOSITY IN CHILDREN AND ADOLESCENTS
    Aguilera Garcia, C.
    Leis Trabazo, R.
    Vazquez-Cobela, R.
    Bedoya Carpente, J.
    Gil-Campos, M.
    Bueno Lozano, G.
    Moreno, L. A.
    Gil, A.
    ANNALS OF NUTRITION AND METABOLISM, 2020, 76 : 58 - 59
  • [27] Leptin and cardiometabolic risk factors in obese children and adolescents
    Gonzaga, Nathalia C.
    Medeiros, Carla C. M.
    de Carvalho, Danielle F.
    Alves, Joao G. B.
    JOURNAL OF PAEDIATRICS AND CHILD HEALTH, 2014, 50 (09) : 707 - 712
  • [28] PREVALENCE OF CARDIOMETABOLIC RISK FACTORS IN CHINESE CHILDREN AND ADOLESCENTS
    Ye, Peiyu
    Chen, Fangfang
    Yan, Yinkun
    Mi, Jie
    JOURNAL OF HYPERTENSION, 2016, 34 : E528 - E528
  • [29] Association Between Depression and Cardiometabolic Risk Factors in Adolescents with Obesity
    Gunes, Asli Okbay
    Caglayan, Rahime Hulya Bingol
    Sen Demirogen, Ezgi
    Kose, Selmin
    Ergingoz, Ethem
    Ercan, Oya
    Alikasifoglu, Mujgan
    MEDICAL JOURNAL OF BAKIRKOY, 2020, 16 (04) : 385 - 391
  • [30] Abdominal Adiposity in Rheumatoid Arthritis Association With Cardiometabolic Risk Factors and Disease Characteristics
    Giles, Jon T.
    Allison, Matthew
    Blumenthal, Roger S.
    Post, Wendy
    Gelber, Allan C.
    Petri, Michelle
    Tracy, Russell
    Szklo, Moyses
    Bathon, Joan M.
    ARTHRITIS AND RHEUMATISM, 2010, 62 (11): : 3173 - 3182