Body adiposity index performance in estimating body fat in a sample of severely obese Brazilian patients

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Citações na Scopus
16
Tipo de produção
article
Data de publicação
2015
Título da Revista
ISSN da Revista
Título do Volume
Editora
BIOMED CENTRAL LTD
Citação
NUTRITION JOURNAL, v.14, article ID 130, 7p, 2015
Projetos de Pesquisa
Unidades Organizacionais
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Resumo
Background/objectives: The body adiposity index (BAI) estimates the amount of body fat (BF) in humans. In Mexican-American and African-American populations, BAI has performed better than body mass index (BMI). The aim of this study was to evaluate the performance of BAI in estimating percentage (BF%) in severely obese Brazilian patients, with air displacement plethysmography (ADP) used as the reference method. Subjects/methods: Estimation of BF% by ADP, anthropometric measurements (height, abdominal and hip circumferences, body weight, and BMI) and BAI calculation were performed in 72 obese subjects (BMI >= 30 kg/m(2)) aged 30-55 years. Results: The mean BF% estimates +/- standard deviation were 52.1 +/- 5.7 % for ADP and 47.7 +/- 7.4 % for BAI, with a positive Pearson correlation (r(p) = 0.66) and a positive Lin's concordance correlation (r(c) = 0.479) observed between these methods. The 95 % limits of individual agreement between BAI and ADP ranged from -5.769 % to 16.036 %, with BAI exhibiting an average positive bias of 5.13 % compared to the reference method. For each studied variable, BAI exhibited a systematic bias, as evidenced by a tendency for low BF% values to be overestimated. Conclusion: For Brazilian patients with severe obesity, BAI does not provide an accurate estimate of BF%.
Palavras-chave
Obesity, Body fat, Body composition, Nutritional assessment, Body adiposity index, Air displacement plethysmography
Referências
  1. Thivel D, 2015, AM J HUM BIOL, V27, P334, DOI 10.1002/ajhb.22643
  2. Haskell WL, 2007, MED SCI SPORT EXER, V39, P1423, DOI 10.1249/mss.0b013e3180616b27
  3. Hames KC, 2014, OBESITY, V22, P1078, DOI 10.1002/oby.20655
  4. Sartorio A, 2000, DIABETES NUTR METAB, V13, P186
  5. Silva MIB, 2013, OBESITY, V21, P546, DOI [10.1002/oby.20261, 10.1038/oby.2012.174]
  6. Gallagher D, 1996, AM J EPIDEMIOL, V143, P228
  7. Nickerson BS, 2015, RES DEV DISABIL, V38, P92, DOI 10.1016/j.ridd.2014.12.010
  8. Ginde SR, 2005, OBES RES, V13, P1232, DOI 10.1038/oby.2005.146
  9. WESTENSKOW DR, 1984, CRIT CARE MED, V12, P183, DOI 10.1097/00003246-198403000-00006
  10. BLAND JM, 1986, LANCET, V1, P307
  11. Lemacks JL, 2012, MENOPAUSE, V19, P1277, DOI 10.1097/gme.0b013e31825408e5
  12. MCCRORY MA, 1995, MED SCI SPORT EXER, V27, P1686
  13. Kyle UG, 2004, CLIN NUTR, V23, P1226, DOI 10.1016/j.clnu.2004.06.004
  14. Pena SDJ, 2009, BRAZ J MED BIOL RES, V42, P870, DOI 10.1590/S0100-879X2009005000026
  15. Geliebter A, 2013, OBESITY, V21, P493, DOI [10.1002/oby.20264, 10.1038/oby.2012.187]
  16. CORTES V, 1989, ARCH SURG-CHICAGO, V124, P287
  17. Petroni ML, 2003, ACTA DIABETOL, V40, pS59, DOI 10.1007/s00592-003-0028-8
  18. Bergman RN, 2011, OBESITY, V19, P1083, DOI 10.1038/oby.2011.38
  19. KEYS A, 1972, J CHRON DIS, V25, P329, DOI 10.1016/0021-9681(72)90027-6
  20. [Anonymous], 2008, NOTAS TECNICAS IBGE
  21. DALY JM, 1985, AM J CLIN NUTR, V42, P1170
  22. Cerqueira M, 2013, OBESITY, V21, pE696, DOI 10.1002/oby.20543
  23. Esco MR, 2013, J STRENGTH COND RES, V27, P1679, DOI 10.1519/JSC.0b013e3182712714
  24. Bussab WO, 1993, ESTATISTICA BASICA
  25. Chang H, 2013, J GERONTOL A, V69
  26. Fields DA, 2004, DYN MED, V3, P3, DOI 10.1186/1476-5918-3-3
  27. Heyward VH, 2004, APPL BODY COMPOSITIO
  28. Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3_1