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. 2020 Sep;115(3):468-477.
doi: 10.36660/abc.20190189.

VO2max-Based Physical Fitness Categories in a Brazilian Population with Supposed High Socioeconomic Status and without Structural Heart Disease

[Article in English, Portuguese]
João Manoel Rossi Neto  1   2 , Antonio Sergio Tebexreni  2 , Alexandre Novakoski F Alves  2 , Floriana Bertini Abreu  2 , Priscilla Ayumi Nishio  2 , Mauricio Cruz Thomazi  2 , Ivana Antelmi  2 , Paola Emanuela P Smanio  2
Affiliations

VO2max-Based Physical Fitness Categories in a Brazilian Population with Supposed High Socioeconomic Status and without Structural Heart Disease

[Article in English, Portuguese]
João Manoel Rossi Neto et al. Arq Bras Cardiol. 2020 Sep.

Abstract
in English, Portuguese

Background: The most widely used data for cardiorespiratory fitness (CRF) referrals are from the Cooper Clinic, which uses calculated maximal oxygen uptake (VO2max) values.

Objective: To develop CRF values from cardiopulmonary exercise testing (CPX) in a Brazilian population with high socioeconomic level and free of structural heart disease. VO2max testing results were compared with the Cooper Clinic and FRIEND Registry data.

Methods: CPX data from consecutive individuals between January 1,2000, and May 31,2016 were used in this study. Inclusion criteria were: VO2max by a pre-specified definition. We built a CRF chart according to VO2max percentiles: very poor (≤20%), poor (20-40%), fair (40-60%), good (60-80%), excellent (80-90%), and superior (≥90%). Kappa correlation was used to analyze our data in comparison with that of the other two databases. Statistical tests with p<0.005 were considered significant.

Results: Final cohort included 18,186 tests: 12,552 men, 5,634 women (7-84 years). The most recurrent response was "good" (20.2%). There was a mean difference in weight, height, body mass index (BMI), and age in the CRF chart. An inverse correlation existed between VO2max and age, weight, and BMI. Using a linear regression and these variables, a predictive equation was developed for VO2max. Our findings differed from that of the other databases.

Conclusion: We developed a classification for CRF and found higher values in all classification ranges of functional capacity in contrast to the Cooper Clinic and FRIEND Registry. Our findings offer a more accurate interpretation of ACR in this large Brazilian population sample when compared to previous standards based on the estimated VO2max. (Arq Bras Cardiol. 2020; 115(3):468-477).

Fundamento: Os dados mais utilizados como referência de aptidão cardiorrespiratória (ACR) são os de Cooper, que utiliza valores calculados de captação máxima de oxigênio (VO2máx).

Objetivo: Desenvolver valores de ACR a partir do teste cardiopulmonar de exercício (TCPE) em uma população brasileira com alto nível socioeconômico e livre de cardiopatia estrutural. Os resultados dos testes de VO2max foram comparados aos dados de Cooper e do FRIEND Registry.

Métodos: Foram utilizados neste estudo dados de TCPE de indivíduos consecutivos entre 1º de janeiro de 2000 e 31 de maio de 2016. Os critérios de inclusão foram: VO2máx pré-definido. Foi construído um gráfico de ACR de acordo com os percentuais do VO2máx: muito ruim (≤20%), ruim (20-40%), regular (40-60%), boa (60-80%), excelente (80-90%), e superior (≥90%). A correlação Kappa foi usada para analisar nossos dados em comparação aos dados dos outros dois bancos de dados. Os testes estatísticos com p<0,005 foram considerados significativos.

Resultados: A coorte final incluiu 18.186 testes: 12.552 homens, 5.634 mulheres (7 a 84 anos). A resposta mais recorrente foi “boa” (20,2%). Houve diferença média de peso, altura, índice de massa corporal (IMC) e idade no gráfico da ACR. Houve correlação inversa entre VO2máx e idade, peso e IMC. Usando uma regressão linear e essas variáveis, uma equação preditiva foi desenvolvida para o VO2máx. Nossas descobertas diferiram das dos outros bancos de dados.

Conclusão: Desenvolvemos uma classificação para a ACR e encontramos valores mais altos em todas as faixas de classificação de capacidade funcional, em contraste com os dados de Cooper e do FRIEND Registry. Nossos achados oferecem uma interpretação mais precisa da ACR nessa grande amostra populacional brasileira, quando comparados aos padrões anteriores, com base no VO2máx estimado. (Arq Bras Cardiol. 2020; 115(3):468-477).

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Conflict of interest statement

Potencial conflito de interesses

Declaro não haver conflito de interesses pertinentes.

Figures

Figura 1
Figura 1. – Fluxograma da estratégia de recrutamento e perfil de inclusão para o estudo.
Figure 1
Figure 1. – Flowchart of the recruitment strategy and inclusion profile for the study.
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