Literature DB >> 16365074

Early programming of body composition and fat distribution in adolescents.

Idoya Labayen1, Luis A Moreno, María G Blay, Vicente A Blay, María I Mesana, Marcela González-Gross, Gloria Bueno, Antonio Sarría, Manuel Bueno.   

Abstract

Size at birth and early postnatal growth are determinants of adult height and BMI. The aim of this study was to evaluate the effect of birth weight on body composition and fat distribution in a group of Spanish adolescents. Current body composition was assessed by both skinfold thickness and dual X-ray absorptiometry in 234 adolescents born at term (140 girls and 94 boys), now aged 13-18 y and living in the city of Zaragoza. Relative fat distribution was estimated using the ratio of the subscapular to triceps skinfolds (S:T). Birth weight and gestational age were assessed by a questionnaire. Birth weight was inversely associated with the S:T ratio (P < 0.05) in boys and directly associated with bone mass (P < 0.01) and fat-free mass (P < 0.05) in girls. This association was independent of factors such as age, Tanner stage, gestational age, socioeconomic status, physical activity, and height. In conclusion, our data support the hypothesis that impaired fetal growth, measured by birth weight, may be related to central fat distribution in boys and decreased bone and fat-free mass in girls.

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Year:  2006        PMID: 16365074     DOI: 10.1093/jn/136.1.147

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  21 in total

1.  Rate of weight gain in very-low birth weight Puerto Rican neonates.

Authors:  Maribel Campos; Lourdes García; Inés E García; Cynthia Rivera; Marta I Valcárcel
Journal:  P R Health Sci J       Date:  2008-06       Impact factor: 0.705

2.  Contributors to Pediatric Obesity in Adolescence: More than just Energy Imbalance.

Authors:  Michelle Cardel; Akilah Dulin-Keita; Krista Casazza
Journal:  Open Obes J       Date:  2011

3.  Is low birth weight associated with adiposity in contemporary U.S. youth? The Exploring Perinatal Outcomes among Children (EPOCH) Study.

Authors:  M Jaiswal; T Crume; K Vehik; A Scherzinger; E Stamm; R F Hamman; D Dabelea
Journal:  J Dev Orig Health Dis       Date:  2012-03-23       Impact factor: 2.401

4.  Low ponderal index is associated with decreased muscle strength and fatigue resistance in college-aged women.

Authors:  Tom D Brutsaert; Kelli H Tamvada; Melisa Kiyamu; Daniel D White; Timothy B Gage
Journal:  Early Hum Dev       Date:  2011-06-08       Impact factor: 2.079

5.  Smaller hip circumference is associated with dyslipidemia and the metabolic syndrome in obese women.

Authors:  John B Dixon; Boyd J G Strauss; Cheryl Laurie; Paul E O'Brien
Journal:  Obes Surg       Date:  2007-06       Impact factor: 4.129

6.  Early life programming of abdominal adiposity in adolescents: The HELENA Study.

Authors:  Idoia Labayen; Jonatan R Ruiz; Germán Vicente-Rodríguez; Dominique Turck; Gerardo Rodríguez; Aline Meirhaeghe; Denes Molnár; Michael Sjöström; Manuel J Castillo; Frederic Gottrand; Luis A Moreno
Journal:  Diabetes Care       Date:  2009-07-29       Impact factor: 17.152

7.  Prenatal stress exposure related to maternal bereavement and risk of childhood overweight.

Authors:  Jiong Li; Jørn Olsen; Mogens Vestergaard; Carsten Obel; Jennifer L Baker; Thorkild I A Sørensen
Journal:  PLoS One       Date:  2010-07-30       Impact factor: 3.240

8.  Dietary behaviors of adults born prematurely may explain future risk for cardiovascular disease.

Authors:  Mastaneh Sharafi; Valerie B Duffy; Robin J Miller; Suzy B Winchester; Tania B Huedo-Medina; Mary C Sullivan
Journal:  Appetite       Date:  2016-01-12       Impact factor: 3.868

Review 9.  From conception to infancy - early risk factors for childhood obesity.

Authors:  Elvira Larqué; Idoia Labayen; Carl-Erik Flodmark; Inge Lissau; Sarah Czernin; Luis A Moreno; Angelo Pietrobelli; Kurt Widhalm
Journal:  Nat Rev Endocrinol       Date:  2019-07-03       Impact factor: 43.330

10.  Intergenerational cardiovascular disease risk factors involve both maternal and paternal BMI.

Authors:  Idoia Labayen; Jonatan R Ruiz; Francisco B Ortega; Helle-Mai Loit; Jaanus Harro; Toomas Veidebaum; Michael Sjöström
Journal:  Diabetes Care       Date:  2010-01-07       Impact factor: 19.112

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