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Normative reference values for estimated cardiorespiratory fitness in apparently healthy British men and women
Author(s) -
Lee Ingle,
Alan S. Rigby,
David A. Brodie,
Gavin Sandercock
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0240099
Subject(s) - cardiorespiratory fitness , percentile , medicine , cohort , nomogram , demography , physical therapy , normative , gerontology , statistics , mathematics , sociology , philosophy , epistemology
Objectives To develop normative reference standards for estimated cardiorespiratory fitness (eCRF) measured from treadmill-based incremental exercise testing in ~12 000 British men and women. Methods Cross-sectional study using retrospectively collected eCRF data from five preventative health screening clinics in the United Kingdom. Reference centiles were developed using a parametric approach by fitting fractional polynomials. We selected the ‘best’ powers by considering both the smallest deviance, and clinical knowledge from the following set of a priori decided powers (-2,-1,-0.5, 0, 0.5,1,2,3). A series of fractional polynomials (FPs) were investigated with three-parameters (median, standard deviation and skewness). The following reference centiles were plotted (3, 5, 10, 25, 50, 75, 90, 95, 97). Results We included 9 204 males (median [25 th ,75 th centiles] age 48 [44, 53] years; BMI 27 {25, 29] kg∙m -2 ; peak VO 2 36.9 [30.5, 44.7] ml∙kg -1 ∙min -1 ) and 2 687 females (age 48, [41, 51] years; BMI 24 {22, 27] kg∙m -2 ; peak VO 2 36.5 [30.1, 44.8] ml∙kg -1 ∙min -1 ) in our analysis to develop the normative values. Conclusion Reference values and nomograms for eCRF were derived from a relatively large cohort of preventative health care screening examinations of apparently healthy British men and women. Age- and sex-specific eCRF percentiles were similar to data from international cohort studies. The adoption of submaximal exercise testing protocols reduces individual risk when exercise history is unknown and testing is conducted in a community-based setting. Our findings can be used by health professionals to help guide clinical decision making.

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