Literature DB >> 28505241

Tri-Ponderal Mass Index vs Body Mass Index in Estimating Body Fat During Adolescence.

Courtney M Peterson1, Haiyan Su2, Diana M Thomas3, Moonseong Heo4, Amir H Golnabi2, Angelo Pietrobelli5, Steven B Heymsfield6.   

Abstract

Importance: Body mass index (BMI) is used to diagnose obesity in adolescents worldwide, despite evidence that weight does not scale with height squared in adolescents. To account for this, health care providers diagnose obesity using BMI percentiles for each age (BMI z scores), but this does not ensure that BMI is accurate in adolescents. Objective: To compare the accuracy of BMI vs other body fat indices of the form body mass divided by heightn in estimating body fat levels in adolescents. Design, Setting, and Participants: Cross-sectional data from the 1999 to 2006 US National Health and Nutrition Examination Survey were analyzed between September 2015 and December 2016. Main Outcomes and Measures: Dual-energy x-ray absorptiometry and anthropometric data were used to determine changes in body fat levels, body proportions, and the scaling relationships among body mass, height, and percent body fat. To assess the merits of each adiposity index, 3 criteria were used: stability with age, accuracy in estimating percent body fat, and accuracy in classifying adolescents as overweight vs normal weight.
Results: Participants included 2285 non-Hispanic white participants aged 8 to 29 years. Percent body fat varied with both age and height during adolescence, invalidating the standard weight-to-height regression as the way of finding the optimal body fat index. Because the correct regression model (percent body fat is proportional to mass divided by heightn) suggested that percent body fat scales to height with an exponent closer to 3, we therefore focused on the tri-ponderal mass index (TMI; mass divided by height cubed) as an alternative to BMI z scores. For ages 8 to 17 years, TMI yielded greater stability with age and estimated percent body fat better than BMI (R2 = 0.64 vs 0.38 in boys and R2 = 0.72 vs 0.66 in girls). Moreover, TMI misclassified adolescents as overweight vs normal weight less often than BMI z scores (TMI, 8.4%; 95% CI, 7.3%-9.5% vs BMI, 19.4%; 95% CI, 17.8%-20.0%; P < .001) and performed equally as well as updated BMI percentiles derived from the same data set (TMI, 8.4%; 95% CI, 7.3%-9.5% vs BMI, 8.0%; 95% CI, 6.9%-9.1%; P = .62). Conclusions and Relevance: The tri-ponderal mass index estimates body fat levels more accurately than BMI in non-Hispanic white adolescents aged 8 to 17 years. Moreover, TMI diagnoses adolescents as overweight more accurately than BMI z scores and equally as well as updated BMI percentiles but is much simpler to use than either because it does not involve complicated percentiles. Taken together, it is worth considering replacing BMI z scores with TMI to estimate body fat levels in adolescents.

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Year:  2017        PMID: 28505241      PMCID: PMC5710345          DOI: 10.1001/jamapediatrics.2017.0460

Source DB:  PubMed          Journal:  JAMA Pediatr        ISSN: 2168-6203            Impact factor:   16.193


  19 in total

1.  Canalisation in human growth: a widely accepted concept reconsidered.

Authors:  M Hermanussen; R H Largo; L Molinari
Journal:  Eur J Pediatr       Date:  2001-03       Impact factor: 3.183

2.  Multiple imputation of missing dual-energy X-ray absorptiometry data in the National Health and Nutrition Examination Survey.

Authors:  Nathaniel Schenker; Lori G Borrud; Vicki L Burt; Lester R Curtin; Katherine M Flegal; Jeffery Hughes; Clifford L Johnson; Anne C Looker; Lisa Mirel
Journal:  Stat Med       Date:  2010-11-30       Impact factor: 2.373

3.  Trends in Obesity Prevalence Among Children and Adolescents in the United States, 1988-1994 Through 2013-2014.

Authors:  Cynthia L Ogden; Margaret D Carroll; Hannah G Lawman; Cheryl D Fryar; Deanna Kruszon-Moran; Brian K Kit; Katherine M Flegal
Journal:  JAMA       Date:  2016-06-07       Impact factor: 56.272

Review 4.  [Chronic non-communicable diseases: a global epidemic of the 21st century].

Authors:  Karl Andersen; Vilmundur Gudnason
Journal:  Laeknabladid       Date:  2012-11       Impact factor: 0.548

5.  Scaling of adult regional body mass and body composition as a whole to height: Relevance to body shape and body mass index.

Authors:  John M Schuna; Courtney M Peterson; Diana M Thomas; Moonseong Heo; Sangmo Hong; Woong Choi; Steven B Heymsfield
Journal:  Am J Hum Biol       Date:  2014-11-08       Impact factor: 1.937

6.  Child's Weight Status and Parent's Response to a School-Based Body Mass Index Screening and Parent Notification Program.

Authors:  Jiwoo Lee; Martha Y Kubik
Journal:  J Sch Nurs       Date:  2014-11-05       Impact factor: 2.835

Review 7.  Effect of obesity on linear growth.

Authors:  Ilene Fennoy
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2013-02       Impact factor: 3.243

8.  Why is the body mass index calculated as mass/height2, not as mass/height3?

Authors:  R F Burton
Journal:  Ann Hum Biol       Date:  2007 Nov-Dec       Impact factor: 1.533

9.  Weight/heightp compared to weight/height2 for assessing adiposity in childhood: influence of age and bone age on p during puberty.

Authors:  T J Cole
Journal:  Ann Hum Biol       Date:  1986 Sep-Oct       Impact factor: 1.533

Review 10.  Why are there race/ethnic differences in adult body mass index-adiposity relationships? A quantitative critical review.

Authors:  S B Heymsfield; C M Peterson; D M Thomas; M Heo; J M Schuna
Journal:  Obes Rev       Date:  2015-12-11       Impact factor: 9.213

View more
  57 in total

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Authors:  Ubong Peters; Anne E Dixon; Erick Forno
Journal:  J Allergy Clin Immunol       Date:  2018-04       Impact factor: 10.793

2.  Association of Youth Triponderal Mass Index vs Body Mass Index With Obesity-Related Outcomes in Adulthood.

Authors:  Feitong Wu; Marie-Jeanne Buscot; Markus Juonala; Nina Hutri-Kähönen; Jorma S A Viikari; Olli T Raitakari; Costan G Magnussen
Journal:  JAMA Pediatr       Date:  2018-12-01       Impact factor: 16.193

3.  Relationship of BMI z score to fat percent and fat mass in multiethnic prepubertal children.

Authors:  M Wilkes; J Thornton; M Horlick; A Sopher; J Wang; E M Widen; R Pierson; D Gallagher
Journal:  Pediatr Obes       Date:  2018-08-16       Impact factor: 4.000

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Authors: 
Journal:  Diabetes Care       Date:  2018-06-25       Impact factor: 19.112

5.  Secular trends in adiposity within the context of changes in BMI across developmental periods among Polish schoolchildren-application of the Slaughter equation.

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Journal:  Eur J Clin Nutr       Date:  2020-07-06       Impact factor: 4.016

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Authors:  Wagner L Ripka; Camila E Orsso; Andrea M Haqq; Carla M Prado; Leandra Ulbricht; Neiva Leite
Journal:  Eat Weight Disord       Date:  2020-05-19       Impact factor: 4.652

7.  Obesity and insulin sensitivity effects on cardiovascular risk factors: Comparisons of obese dysglycemic youth and adults.

Authors: 
Journal:  Pediatr Diabetes       Date:  2019-07-29       Impact factor: 4.866

Review 8.  Working toward precision medicine approaches to treat severe obesity in adolescents: report of an NIH workshop.

Authors:  Aaron S Kelly; Marsha D Marcus; Jack A Yanovski; Susan Z Yanovski; Stavroula K Osganian
Journal:  Int J Obes (Lond)       Date:  2018-10-03       Impact factor: 5.095

9.  Association of dietary acid load with anthropometric indices in children and adolescents.

Authors:  Zahra Aslani; Maryam Bahreynian; Nazli Namazi; Nitin Shivappa; James R Hébert; Hamid Asayesh; Mohammad Esmaeil Motlagh; Mohammad Ali Pourmirzaei; Amir Kasaeian; Armita Mahdavi-Gorabi; Mostafa Qorbani; Roya Kelishadi
Journal:  Eat Weight Disord       Date:  2020-03-14       Impact factor: 4.652

10.  The Use of Tri-Ponderal Mass Index and Other Indices in Estimating Visceral Body Fat Percentages in Adolescents-Reply.

Authors:  Courtney M Peterson; Diana M Thomas; Steven B Heymsfield
Journal:  JAMA Pediatr       Date:  2017-12-01       Impact factor: 16.193

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