Comparison and agreement of criteria for the BMI classification of physically active elderly women living in the Backlands, semi-arid Region

Authors

DOI:

https://doi.org/10.7322/jhgd.128227

Keywords:

elderly, BMI, waist circumference, obesity

Abstract

Introduction: The study of the nutritional status of the elderly deserves attention, since there is no consensus on the criteria for the evaluation of the Body Mass Index (BMI) of this population.

Objective: To evaluate the nutritional status of elderly women practicing regular physical exercises, as well as to compare the World Health Organization (WHO) and Lipschitz criteria to the identification of health risk and to examine their agreement.

Methods: Descriptive cross-sectional study with 76 elderly women in physical exercise groups in Petrolina-PE. The nutritional status was obtained by the calculation of BMI according to WHO and Lipschitz criteria. The analysis of Variance (ANOVA) was used to compare the variables, followed by Tukey post hoc. The Kappa statistic established the agreement between the BMI criteria, the Spearman coefficient determined the correlation between BMI and abdominal circumference (AC).

Results: Elderly patients aged 60-79 years were classified as being overweight by WHO and eutrophic by Lipschitz. Octogenarian demonstrated eutrophy, according to the criterion of Lipschitz, WHO diverged for this group between thinness and eutrophy. There was a weak agreement between both criteria, Kappa (0.232, p = 0.002) and a strong correlation between BMI and CA (r = 0.722, p <0.001).

Conclusion: There was a divergence between the WHO and Lipschitz criteria. The WHO proved to be more sensitive to identifying overweight and obesity and Lipschitz's normal weight and malnutrition. The CA measure was more competent to detect health risk, especially in elderly eutrophic women.

Author Biographies

  • Marcelo de Maio Nascimento, Universidade Federal do Vale do São Francisco
    Professor Adjunto II da Universidade Federal do Vale do São Francisco (UNIVASF), curso de Educação Física. Coordenador do GEPELMA-Grupo de Pesquisa e Estudo em Lazer e Meio Ambiente e GEDAGIN-Grupo de Estudo em Dança e Ginástica.
  • Luiz Gabriel Dantas Pereira, Universidade Federal do Vale do São Francisco
    Discente do Curso de Educação Física da Universidade Federal do Vale do São Francisco.
  • Phillipe Ramon Nogueira Cordeiro, Universidade Federal do Vale do São Francisco
    Discente do Curso de Educação Física da Universidade Federal do Vale do São Francisco.
  • Luciana Márcia Gomes de Araújo, Universidade Federal do Vale do São Francisco
    Discente do Curso de Educação Física da Universidade Federal do Vale do São Francisco.

References

Leal Neto JS, Barbosa AR, Meneghini V. Diseases and chronic health conditions, multimorbidity and body mass index in older adults. Rev Bras Cineantropom Desempenho Hum. 2016;18(5):509-19. DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n5p509

World Health Organization (WHO). Obesity: preventing and managing the global epidemic. Geneva: WHO; 2000.

World Health Organization (WHO). Physical status: The use and interpretation of anthropometry. Report of a WHO expert committee. Geneva: WHO; 1995.

Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-causemortality with overweight and obesity using standard bodymass index categories a systematic review andmeta-analysis. Jama. 2013;309(1):71-82. DOI: http://dx.doi.org/10.1001/jama.2012.113905

Aslan AK, Starr JM, Pattie A, Deary I. Cognitive consequences of overweight and obesity in the ninth decade of life? Age Ageing. 2014;44(1):59-65. DOI: http://dx.doi.org/10.1093/ageing/afu108

Konig HH, Lehnert T, Brenner H, Schottker B, Quinzler R, Haefeli WE, et al. Health service use and costs associated with excess weight in older adults in Germany. Age Ageing. 2015;44(4):616-623. DOI: http://dx.doi.org/10.1093/ageing/afu120

Anjos LA. Indice de massa corporal (massa corporal.estatura-2) como indicador do estado nutricional de adultos: revisão da literatura. Rev Saude Publica. 1992;26(6):431-6. DOI: http://dx.doi.org/10.1590/S0034-89101992000600009

Souza R, Fraga JS, Gottschall CBA, Busnello FM, Rabito EI. Avaliação antropométrica em idosos: estimativas de peso e altura e concordância entre classificações de IMC. Rev Bras Geriatr Gerontol. 2013;16(1):81-90. DOI: http://dx.doi.org/10.1590/S1809-98232013000100009

Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adultsc, 1999-2010. Jama. 2012;307(5):491-7. DOI: http://dx.doi.org/10.1001/jama.2012.39

Westphal P, Ferreira C, Adamczeski M, Camargo L, Santos R, Massaneiro AC, et al. Relação entre Índice de Massa Corporal de Quételet e o de Trefethen. Rev Centro Pesq Avançadas Qual Vida. 2016;8(3):1-6.

Chinedu SN, Ogunlana OO, Azuh DE, Iweala EEJ, Afalobi IS, Uhuegibu CC, et al. Correlation between body mass index and waist circumference in nigerian adults: implication as indicators of health status. J Public health Res. 2013;2(2):e16. DOI: http://dx.doi.org/10.4081/jphr.2013.e16

Lipschitz DA. Screening for nutritional status in the elderly. Prim Care. 1994;21(1):55-67.

Sardinha LB, Cyrino ES, Santos LD, Ekelund U, Santos DA. Fitness but not weight status is associated with projected physical independence in older adults. Age (Dordr). 2016;38(3):54. DOI: http://dx.doi.org/10.1007/s11357-016-9911-4

Petroski EL. Antropometria: técnicas e padronizações. Várzea Paulista: Fontoura, 2011.

Almeida AV, Mafra SCT, Da Silva EP, Kanso S. A feminização da velhice: em foco as características socioeconômicas, pessoais e familiares das idosas e o risco social. Textos Context. 2015;14(1):115-31. DOI: http://dx.doi.org/10.15448/1677-9509.2015.1.19830

Salin MS, Mazo GZ, Cardoso ASA, Garcia GS. Atividade Física para idosos: diretrizes para implantação de programas e ações. Rev Bras Geriatr Gerontol. 2011;14(2):197-208. DOI: http://dx.doi.org/10.1590/S1809-98232011000200002

Vilaça KHC, Carneiro JAO, Pessanha FPAS, Lima NKC, Ferriolli E, Moriguti JC. Estudo comparativo da composição corporal de idosas fisicamente ativas pelos métodos DXA e antropométrico. Rev Bras Ciênc Mov. 2012;20(3):5-13.

Diniz KO, Rocha SV, Oliveira ACC. Anthropometric indicators of obesity such as predictors of high blood pressure in the elderly. Rev Bras Cineantropom Desempenho Hum. 2017;19(1):31-9. DOI:http://dx.doi.org/10.5007/1980-0037.2017v19n1p31

Rocha FL, Melo RLP. Menezes TN. Fatores associados à síndrome metabólica em idosos do interior do Nordeste brasileiro. Rev Bras Geriatr Gerontol. 2016;19(6):978-86. DOI: http://dx.doi.org/10.1590/1981-22562016019.160046

Amado TCF, Arruda IKG, Ferreira RAR. Aspectos alimentares, nutricionais e de saúde de idosas atendidas no Núcleo de Atenção ao Idoso - NAI, Recife/2005. Arch Latinoam Nutr. 2007;57(4):366-72.

Arnau A, Espaulella J, Serrarols M, Canudas J, Formiga F, Ferrer M. Risk factors for functional decline in a population aged 75 years and older without total dependence: A one-year follow-up. Arch Gerontol Geriatr. 2016;65:239-47. DOI: http://dx.doi.org/10.1016/j.archger.2016.04.002

Fisberg RM, Marchioni DML, Castro MA, Verly Junior E, Araújo MC, Bezerra IN, et al. Ingestão inadequada de nutrientes na população de idosos do Brasil: Inquérito Nacional de Alimentação 2008-2009. Rev Saude Publica. 2013;47(1 Supl.):222s-30. DOI: http://dx.doi.org/10.1590/S0034-89102013000200008

Sass A, Marcon SS. Comparação de medidas antropométricas de idosos residentes em área urbana no sul do Brasil, segundo sexo e faixa etária. Rev Bras Geriatr Gerontol. 2015;18(2):261-72. DOI: http://dx.doi.org/10.1590/1809-9823.2015.13048

Janssen I, Katzmarzyk PT, Ross R. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr. 2004;79(3):379-84.

Bozeman SR, Hoaglin DC, Burton TM, Pashos CL, Ben-Joseph RH, Hollenbeak CS. Predicting waist circumference from body mass index. BMC Med Res Methodol. 2012;12:115. DOI: http://dx.doi.org/10.1186/1471-2288-12-115

Published

2017-12-18

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Section

Artigos Originais