Literature DB >> 10731494

Effects of familial predisposition to obesity on energy expenditure in multiethnic prepubertal girls.

M S Treuth1, N F Butte, W W Wong.   

Abstract

BACKGROUND: The prevalence of childhood obesity is increasing and the causes of this are unknown.
OBJECTIVE: The objective of this study was to determine whether energy expenditure (EE), measured by 24-h calorimetry and doubly labeled water, differed in normal-weight-for-height, multiethnic prepubertal girls with or without a familial predisposition to obesity.
DESIGN: Normal-weight, prepubertal white (n = 52), African American (n = 30), and Hispanic (n = 19) girls with a mean (+/-SD) age of 8.5 +/- 0.4 y were studied according to parental leanness and overweight or obesity. The girls were grouped according to whether they had 2 lean parents (n = 30), 2 obese parents (n = 27), or 1 lean and 1 obese parent (n = 44). Basal metabolic rate (BMR), sleeping metabolic rate (SMR), 24-h EE, respiratory quotient, heart rate, and activity were measured by 24-h room calorimetry; free-living total EE (TEE), activity-related EE (AEE), and physical activity level were measured by doubly labeled water. EE was standardized by fat-free mass (FFM).
RESULTS: There were no significant differences among familial groups in weight, height, fat mass, FFM, or percentage body fat. African American girls had a higher FFM than did white or Hispanic girls (P < 0.05). BMR, SMR, 24-h EE, respiratory quotient, heart rate, and activity levels were not significantly different among familial groups. Additionally, there were no significant familial group differences in TEE, AEE, or physical activity level. However, BMR, SMR, and TEE were lower in African American girls than in white girls (P < 0.05).
CONCLUSION: There was no significant difference in EE between normal-weight, multiethnic prepubertal girls predisposed to obesity and those not predisposed to obesity.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10731494     DOI: 10.1093/ajcn/71.4.893

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  8 in total

1.  A hydrogen gas-water equilibration method produces accurate and precise stable hydrogen isotope ratio measurements in nutrition studies.

Authors:  William W Wong; Lucinda L Clarke
Journal:  J Nutr       Date:  2012-09-26       Impact factor: 4.798

2.  The doubly labeled water method produces highly reproducible longitudinal results in nutrition studies.

Authors:  William W Wong; Susan B Roberts; Susan B Racette; Sai Krupa Das; Leanne M Redman; James Rochon; Manjushri V Bhapkar; Lucinda L Clarke; William E Kraus
Journal:  J Nutr       Date:  2014-02-12       Impact factor: 4.798

3.  Maternal weight status modulates the effects of restriction on daughters' eating and weight.

Authors:  L A Francis; L L Birch
Journal:  Int J Obes (Lond)       Date:  2005-08       Impact factor: 5.095

4.  Very low levels of energy expenditure among pre-adolescent Mexican-American girls.

Authors:  Lara R Dugas; Kara Ebersole; Dale Schoeller; Jack A Yanovski; Simon Barquera; Juan Rivera; Ramon Durazo-Arzivu; Amy Luke
Journal:  Int J Pediatr Obes       Date:  2008

5.  Independent benefits of meeting the 2008 physical activity guidelines to insulin resistance in obese latino children.

Authors:  Nazrat Mirza; Matilde Palmer; Johanna O'Connell; Loretta Dipietro
Journal:  J Obes       Date:  2012-02-28

6.  Functional data analysis of sleeping energy expenditure.

Authors:  Jong Soo Lee; Issa F Zakeri; Nancy F Butte
Journal:  PLoS One       Date:  2017-05-10       Impact factor: 3.240

7.  Substrate utilization during submaximal exercise in children with a severely obese parent.

Authors:  Audrey D Eaves; Ashley Colon; Katrina D Dubose; David Collier; Joseph A Houmard
Journal:  Nutr Metab (Lond)       Date:  2012-05-09       Impact factor: 4.169

8.  Development of a compendium of energy expenditures for youth.

Authors:  Kate Ridley; Barbara E Ainsworth; Tim S Olds
Journal:  Int J Behav Nutr Phys Act       Date:  2008-09-10       Impact factor: 6.457

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.