Literature DB >> 27837272

Body composition analysis by DXA (dual X-ray absorptiometry) in Brazilian men: normative data.

Marcela Ushida1, Marcelo de Medeiros Pinheiro2, Charlles Heldan de Moura Castro2, Vera Lucia Szejnfeld2.   

Abstract

Considering ethnic and anthropometric differences, it is important to obtain specific normative data on body composition (BC) for each population. The objectives of this study were to obtain the normative curve for the BC of Brazilian men and to compare them to the North American male population. A total of 403 healthy Brazilian men 20 years and older were included in the study. Data on concomitant diseases and physical activity were investigated using a structured questionnaire. Conditions that could affect lean and fat mass were excluded. BC was assessed via whole-body dual-energy X-ray absorptiometry (DXA) using a GE-Lunar device. Significance level was set as p < 0.05. Mean age and body mass index (BMI) were 46.0 ± 17.9 years and 26.2 ± 3.14 kg/m2, respectively. Mean skeletal mass index (SMI), appendicular lean mass by BMI (ALMBMI), and fat mass index (FMI) were 8.38 ± 0.85, 0.949 ± 0.138, and 6.87 ± 2.43 kg/m2, respectively. There were negative associations among SMI (p < 0.001), ALMBMI (p < 0.001), and FMI (p = 0.002) with age. Comparison with the National Health and Nutrition Examination Survey (NHANES) III data, originally performed with a Hologic device, showed that Brazilian men had lower FMI and BF. This difference was minimized after converting the NHANES results to the GE-Lunar database. Brazilian men had lower SMI than American men measured in NHANES III. FMI was less influenced by ethnicity than by BMI, and it could be used as a standard measure for assessing fat excess or adiposity. Our data suggest that conversion to each specific manufacturer's database should be performed to minimize differences in body composition between populations.

Entities:  

Keywords:  Body composition; DXA; Fat mass; Lean mass; Men

Year:  2016        PMID: 27837272     DOI: 10.1007/s00774-016-0789-0

Source DB:  PubMed          Journal:  J Bone Miner Metab        ISSN: 0914-8779            Impact factor:   2.626


  20 in total

1.  [Methodology to evaluation the habitual physical activity in men aged 50 years or more].

Authors:  Alex Antonio Florindo; Maria do Rosario Dias de Oliveira Latorre; Patrícia Constante Jaime; Tomoe Tanaka; Cristiano Augusto de Freitas Zerbini
Journal:  Rev Saude Publica       Date:  2004-04-26       Impact factor: 2.106

2.  Epidemiology of sarcopenia among the elderly in New Mexico.

Authors:  R N Baumgartner; K M Koehler; D Gallagher; L Romero; S B Heymsfield; R R Ross; P J Garry; R D Lindeman
Journal:  Am J Epidemiol       Date:  1998-04-15       Impact factor: 4.897

Review 3.  The impact of recent technological advances on the trueness and precision of DXA to assess body composition.

Authors:  Rebecca J Toombs; Gaele Ducher; John A Shepherd; Mary Jane De Souza
Journal:  Obesity (Silver Spring)       Date:  2011-07-14       Impact factor: 5.002

4.  Body composition and mortality risk in later life.

Authors:  Fredrik Toss; Peder Wiklund; Peter Nordström; Anna Nordström
Journal:  Age Ageing       Date:  2012-07-20       Impact factor: 10.668

5.  Adiposity rather than BMI determines metabolic risk.

Authors:  Antonino De Lorenzo; Alessia Bianchi; Pasquale Maroni; Annarita Iannarelli; Nicola Di Daniele; Leonardo Iacopino; Laura Di Renzo
Journal:  Int J Cardiol       Date:  2011-11-15       Impact factor: 4.164

6.  Body composition, insulin sensitivity, and cardiovascular disease profile in healthy Europeans.

Authors:  Wiebe Boorsma; Marieke B Snijder; Giel Nijpels; Caterina Guidone; Angela M R Favuzzi; Geltrude Mingrone; Piet J Kostense; Robert J Heine; Jacqueline M Dekker
Journal:  Obesity (Silver Spring)       Date:  2008-10-16       Impact factor: 5.002

7.  National Health and Nutrition Examination Survey whole-body dual-energy X-ray absorptiometry reference data for GE Lunar systems.

Authors:  Bo Fan; John A Shepherd; Michael A Levine; Dee Steinberg; Wynn Wacker; Howard S Barden; David Ergun; Xin P Wu
Journal:  J Clin Densitom       Date:  2013-10-23       Impact factor: 2.617

8.  Abdominal and gynoid fat mass are associated with cardiovascular risk factors in men and women.

Authors:  Peder Wiklund; Fredrik Toss; Lars Weinehall; Göran Hallmans; Paul W Franks; Anna Nordström; Peter Nordström
Journal:  J Clin Endocrinol Metab       Date:  2008-08-26       Impact factor: 5.958

9.  BMI and fracture risk in older men: the osteoporotic fractures in men study (MrOS).

Authors:  Carrie M Nielson; Lynn M Marshall; Annette L Adams; Erin S LeBlanc; Peggy M Cawthon; Kristine Ensrud; Marcia L Stefanick; Elizabeth Barrett-Connor; Eric S Orwoll
Journal:  J Bone Miner Res       Date:  2011-03       Impact factor: 6.741

10.  Commingling effect of gynoid and android fat patterns on cardiometabolic dysregulation in normal weight American adults.

Authors:  I S Okosun; J P Seale; R Lyn
Journal:  Nutr Diabetes       Date:  2015-05-18       Impact factor: 5.097

View more
  1 in total

1.  Official Position of the Brazilian Association of Bone Assessment and Metabolism (ABRASSO) on the evaluation of body composition by densitometry-part II (clinical aspects): interpretation, reporting, and special situations.

Authors:  Sergio Setsuo Maeda; Ben-Hur Albergaria; Vera Lúcia Szejnfeld; Marise Lazaretti-Castro; Henrique Pierotti Arantes; Marcela Ushida; Diogo Souza Domiciano; Rosa Maria Rodrigues Pereira; Rosângela Villa Marin-Mio; Mônica Longo de Oliveira; Laura Maria Carvalho de Mendonça; Mirley do Prado; Guilherme Cardenaz de Souza; Cecília Zanin Palchetti; Roseli Oselka Saccardo Sarni; Maria Teresa Terreri; Luiz Claudio Gonçalves de Castro; Silvana Martinez Baraldi Artoni; Lizandra Amoroso; Débora Emy Karcher; Carla M Prado; Maria Cristina Gonzalez; Marcelo de Medeiros Pinheiro
Journal:  Adv Rheumatol       Date:  2022-04-01
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.