Sex-specific CARDIA equations predicted VO2max from 6MWT with strong correlations (r=0.73 men, r=0.78 women) and less bias than Burr and FRIEND equations.
Can the 6-minute walk test accurately predict VO2max and graded exercise test duration using newly derived CARDIA equations in an aging population?
The newly derived CARDIA prediction equations accurately estimate VO2max and graded exercise test duration from the 6-minute walk test, providing a practical alternative to maximal exercise testing in aging populations.
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Abstract BACKGROUND Assessing maximal oxygen consumption (VO2max), the gold standard for assessing cardiorespiratory fitness (CRF), is often impractical in large-scale studies. We derived sex-specific VO2max and graded exercise test duration (GXTd) prediction equations from 6-minute walk test (6MWT) performance. METHODS Data were from 564 Coronary Artery Risk Development in Young Adults (CARDIA) participants (mean age: 61.5 years; 58% women; 40% Black) who completed the 6MWT and symptom-limited modified Balke treadmill GXT at the Year 35 (2021-22) follow-up exam. Sex-stratified samples were randomly split (2/3 for training, 1/3 for testing) to derive and evaluate prediction equations. Stepwise linear regression identified predictors of VO2max and GXTd from 6MWT distance. Sex-specific VO2max CARDIA equations were compared with Burr and FRIEND equations. Models’ accuracies were evaluated by comparing the predicted values to measured values using Student’s t-test and Pearson correlation coefficients (r). Bland-Altman plots used to evaluate agreement between measured and predicted values. RESULTS Sex-specific VO2max CARDIA equations explained 53% and 57% of the variance in men and women, respectively, with strong correlations between measured and predicted values (r = 0.73 and 0.78). The Burr and FRIEND equations showed larger biases and weaker correlations compared with the CARDIA equations. The GXTd equations explained 59% and 62% of the variance in men and women, with strong correlations (r = 0.71 and 0.72) and no significant mean differences between observed and predicted. CONCLUSIONS The CARDIA prediction equations for VO2max and GXTd from 6MWT enhance accuracy and accessibility, providing a practical tool for large-scale studies and clinical assessments, particularly in aging populations.
Hornikel et al. (Wed,) reported a other. Sex-specific CARDIA equations predicted VO2max from 6MWT with strong correlations (r=0.73 men, r=0.78 women) and less bias than Burr and FRIEND equations.