Literature DB >> 20864005

Expected changes in clinical measures of adiposity during puberty.

Nicole L Mihalopoulos1, Richard Holubkov, Paul Young, Shifan Dai, Darwin R Labarthe.   

Abstract

BACKGROUND: Clinicians use several measures to estimate adiposity. Body mass index (BMI), although not a measure of adiposity, is commonly used to define weight status. Percent body fat (%BF) measures total body fatness, which is composed of central and peripheral fat, estimated by waist circumference (WC) and skinfold thickness, respectively. Abnormal increases in fat during puberty may reflect an increased risk of developing cardiovascular disease. Therefore, it is important to establish the normal patterns of change in clinically relevant measures of adiposity.
PURPOSE: To describe the normal patterns of change in clinical measures of adiposity during puberty. DESIGN/
METHODS: Multilevel modeling and linear regression analyses of 642 children in Project HeartBeat!, aged 8-18 years (non-black and black), who had assessments of BMI, %BF, WC, sums of 2- and 6-skinfolds, and pubertal stage (PS) triennially between 1991 and 1995.
RESULTS: In males, the normal pattern from PS1 to PS5 is for %BF to decrease, skinfold thickness to remain stable, and WC to increase. However, after adjusting for height, WC does not change. In females, %BF remains stable from PS1 to PS5, whereas skinfold thickness increases. As in males waist-height ratio does not change, indicating that central adiposity does not normally increase during puberty. Although BMI increases in both genders and races from PS1 to PS5, mean values at PS5 were well below 25 kg/m(2).
CONCLUSIONS: During puberty, increase in %BF is abnormal in females and even more so in males. Likewise, increase in waist-height ratio is also abnormal and may suggest an increased risk for adiposity-associated morbidity.
Copyright © 2010 Society for Adolescent Health and Medicine. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20864005      PMCID: PMC3590003          DOI: 10.1016/j.jadohealth.2010.03.019

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  29 in total

1.  A population-based comparison of BMI percentiles and waist-to-height ratio for identifying cardiovascular risk in youth.

Authors:  Henry S Kahn; Giuseppina Imperatore; Yiling J Cheng
Journal:  J Pediatr       Date:  2005-04       Impact factor: 4.406

2.  Waist-to-height ratio, a useful index to identify high metabolic risk in overweight children.

Authors:  Claudio Maffeis; Claudia Banzato; Giorgio Talamini
Journal:  J Pediatr       Date:  2007-11-19       Impact factor: 4.406

3.  Fat-free mass in children and young adults predicted from bioelectric impedance and anthropometric variables.

Authors:  S M Guo; A F Roche; L Houtkooper
Journal:  Am J Clin Nutr       Date:  1989-09       Impact factor: 7.045

4.  Variations in pattern of pubertal changes in girls.

Authors:  W A Marshall; J M Tanner
Journal:  Arch Dis Child       Date:  1969-06       Impact factor: 3.791

Review 5.  Obesity-related changes in high-density lipoprotein metabolism.

Authors:  Arshag D Mooradian; Michael J Haas; Kent R Wehmeier; Norman C W Wong
Journal:  Obesity (Silver Spring)       Date:  2008-04-03       Impact factor: 5.002

6.  Race and gender differences in the relationships between anthropometrics and abdominal fat in youth.

Authors:  SoJung Lee; Jennifer L Kuk; Tamara S Hannon; Silva A Arslanian
Journal:  Obesity (Silver Spring)       Date:  2008-03-06       Impact factor: 5.002

7.  Measures of abdominal obesity assessed for visceral adiposity and relation to coronary risk.

Authors:  A Onat; G S Avci; M M Barlan; H Uyarel; B Uzunlar; V Sansoy
Journal:  Int J Obes Relat Metab Disord       Date:  2004-08

8.  Prevalence of the metabolic syndrome in American adolescents: findings from the Third National Health and Nutrition Examination Survey.

Authors:  Sarah D de Ferranti; Kimberlee Gauvreau; David S Ludwig; Ellis J Neufeld; Jane W Newburger; Nader Rifai
Journal:  Circulation       Date:  2004-10-11       Impact factor: 29.690

9.  Pericardial fat, visceral abdominal fat, cardiovascular disease risk factors, and vascular calcification in a community-based sample: the Framingham Heart Study.

Authors:  Guido A Rosito; Joseph M Massaro; Udo Hoffmann; Frederick L Ruberg; Amir A Mahabadi; Ramachandran S Vasan; Christopher J O'Donnell; Caroline S Fox
Journal:  Circulation       Date:  2008-01-22       Impact factor: 29.690

10.  Validation of tetrapolar bioelectrical impedance method to assess human body composition.

Authors:  H C Lukaski; W W Bolonchuk; C B Hall; W A Siders
Journal:  J Appl Physiol (1985)       Date:  1986-04
View more
  17 in total

1.  Body fat distribution in perinatally HIV-infected and HIV-exposed but uninfected children in the era of highly active antiretroviral therapy: outcomes from the Pediatric HIV/AIDS Cohort Study.

Authors:  Denise L Jacobson; Kunjal Patel; George K Siberry; Russell B Van Dyke; Linda A DiMeglio; Mitchell E Geffner; Janet S Chen; Elizabeth J McFarland; William Borkowsky; Margarita Silio; Roger A Fielding; Suzanne Siminski; Tracie L Miller
Journal:  Am J Clin Nutr       Date:  2011-11-02       Impact factor: 7.045

2.  Is there any association between age at menarche and anthropometric indices? A 15-year follow-up population-based cohort study.

Authors:  Maryam Farahmand; Fahimeh Ramezani Tehrani; Davood Khalili; Leila Cheraghi; Fereidoun Azizi
Journal:  Eur J Pediatr       Date:  2020-03-07       Impact factor: 3.183

3.  Dynamic changes of adiposity during puberty: life may not be linear.

Authors:  Jennifer B Hillman; Frank M Biro
Journal:  J Adolesc Health       Date:  2010-10       Impact factor: 5.012

4.  Anthropometric predictors of visceral adiposity in normal-weight and obese adolescents.

Authors:  Dorit Koren; Carole L Marcus; Christopher Kim; Paul R Gallagher; Richard Schwab; Ruth M Bradford; Babette S Zemel
Journal:  Pediatr Diabetes       Date:  2013-05-27       Impact factor: 4.866

5.  Maternal protein intake in pregnancy and offspring metabolic health at age 9-16 y: results from a Danish cohort of gestational diabetes mellitus pregnancies and controls.

Authors:  Ekaterina Maslova; Susanne Hansen; Louise Groth Grunnet; Marin Strøm; Anne Ahrendt Bjerregaard; Line Hjort; Freja Bach Kampmann; Camilla Møller Madsen; A C Baun Thuesen; Bodil Hammer Bech; Thorhallur I Halldorsson; Allan A Vaag; Sjurdur F Olsen
Journal:  Am J Clin Nutr       Date:  2017-07-05       Impact factor: 7.045

6.  Blunted cortisol response to stress is associated with higher body mass index in low-income preschool-aged children.

Authors:  Alison L Miller; Caitlin Clifford; Julie Sturza; Katherine Rosenblum; Delia M Vazquez; Niko Kaciroti; Julie C Lumeng
Journal:  Psychoneuroendocrinology       Date:  2013-07-09       Impact factor: 4.905

7.  Prevalence and predictors of low serum 25-hydroxyvitamin D levels in rural Canadian children.

Authors:  Michelle Science; Jonathon L Maguire; Margaret L Russell; Marek Smieja; Stephen D Walter; Mark Loeb
Journal:  Paediatr Child Health       Date:  2017-05-15       Impact factor: 2.253

8.  Cross-Sectional and Longitudinal Associations between Non-School Time Physical Activity, Sedentary Time, and Adiposity among Boys and Girls: An Isotemporal Substitution Approach.

Authors:  Kelsey L McAlister; Jennifer Zink; Daniel Chu; Britni R Belcher; Genevieve F Dunton
Journal:  Int J Environ Res Public Health       Date:  2021-04-27       Impact factor: 3.390

9.  Body mass index, waist circumference, body fat, fasting blood glucose in a sample of moroccan adolescents aged 11-17 years.

Authors:  Slimane Mehdad; Abdeslam Hamrani; Khalid El Kari; Asmaa El Hamdouchi; Amina Barakat; Mohamed El Mzibri; Najat Mokhtar; Hassan Aguenaou
Journal:  J Nutr Metab       Date:  2011-11-28

10.  The family partners for health study: a cluster randomized controlled trial for child and parent weight management.

Authors:  D C Berry; T A Schwartz; R G McMurray; A H Skelly; M Neal; E G Hall; N Aimyong; D J Amatuli; G Melkus
Journal:  Nutr Diabetes       Date:  2014-01-13       Impact factor: 5.097

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.