{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T15:16:43Z","timestamp":1773674203663,"version":"3.50.1"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T00:00:00Z","timestamp":1771113600000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Young Adults Study","award":["75N92023D00002"],"award-info":[{"award-number":["75N92023D00002"]}]},{"name":"Young Adults Study","award":["75N92023D00003"],"award-info":[{"award-number":["75N92023D00003"]}]},{"name":"Young Adults Study","award":["75N92023D00004"],"award-info":[{"award-number":["75N92023D00004"]}]},{"name":"Young Adults Study","award":["75N92023D00005"],"award-info":[{"award-number":["75N92023D00005"]}]},{"name":"Young Adults Study","award":["75N92023D00006"],"award-info":[{"award-number":["75N92023D00006"]}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"crossref","award":["R01HL149796"],"award-info":[{"award-number":["R01HL149796"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"crossref","award":["R01AG062502"],"award-info":[{"award-number":["R01AG062502"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Paffenbarger-Blair Fund for Epidemiological Research on Physical Activity from the American College of Sports Medicine Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Assessing maximal oxygen consumption (VO2max), the gold standard for assessing cardiorespiratory fitness, is often impractical in large-scale studies. We derived sex-specific VO2 max and graded exercise test duration (GXTd) prediction equations from 6-minute walk test (6MWT) performance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data were from 564 Coronary Artery Risk Development in Young Adults (CARDIA) participants (mean age: 61.5\u2009years; 58% women; 40% Black) who completed the 6MWT and symptom-limited modified Balke treadmill graded exercise test at the Year 35 (2021-2022) 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\u2019 accuracies were evaluated by comparing the predicted values to measured values using Student\u2019s t-test and Pearson correlation coefficients (r). Bland\u2212Altman plots used to evaluate agreement between measured and predicted values.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>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\u2009=\u20090.73 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\u2009=\u20090.71 and 0.72) and no significant mean differences between observed and predicted.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/gerona\/glag040","type":"journal-article","created":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T12:47:06Z","timestamp":1770814026000},"source":"Crossref","is-referenced-by-count":0,"title":["Development and validation of cardiorespiratory fitness prediction equations from 6-minute walk test: the Coronary Artery Risk Development in Adults 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