2013
DOI: 10.1002/ajhb.22443
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Cross validation of ROC generated thresholds for field assessed aerobic fitness related to weight status and cardiovascular disease risk in portuguese young people

Abstract: Recently established cut-points proposed by Boddy et al. (Boddy et al. [2012]: PLoS One 7(9): e45755) show validity in distinguishing between weight status but not CVD risk in Portuguese young people. Alternative ROC generated cut points significantly predicted BMI and CVD risk in this sample.

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Cited by 5 publications
(4 citation statements)
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“…Additionally, articles where the score calculated was non‐continuous ( n = 8) and articles where the score was measured at adolescence or adulthood ( n = 58) were excluded. A total of 91 articles met the review criteria and were included in the data extraction .…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, articles where the score calculated was non‐continuous ( n = 8) and articles where the score was measured at adolescence or adulthood ( n = 58) were excluded. A total of 91 articles met the review criteria and were included in the data extraction .…”
Section: Resultsmentioning
confidence: 99%
“…Cardiovascular disease risk factors are one of the most researched fitnessrelated health outcomes (Högström et al, 2014). A number of cross-sectional studies have been conducted to determine the CRF level associated with a heathier cardiovascular profile in youth (Lobelo et al, 2009;Welk et al, 2011;Adegboye et al, 2011;Silva et al, 2012;Duncan et al, 2013;Gonçalves et al, 2015;Buchan et al, 2017;Castro-Pinero et al, 2017;Ramirez-Velez et al, 2018;Aadland et al, 2019;Agbaje et al, 2019;.…”
Section: Cardiorespiratory Fitness and Cardiometabolic Riskmentioning
confidence: 99%
“…The summarized results of the assessment for risk of bias and applicability concerns are summarized in Appendix 4. As outlined in the review by Rollo et al (2022), the risk of bias and applicability concerns for patient selection was low for the majority of studies; however, nine studies Silva et al, 2012;Buchan et al, 2017;Nevill et al, 2018;Ramírez-Vélez et al, 2018;Martínez-López et al, 2019;Mazzoccante et al, 2020) did not use random sampling for patient recruitment, and for two studies (Duncan et al, 2013;Melo et al, 2015) the selection process was unclear. A high risk of bias score was assigned to all studies for the index test (CRF test) because none of the health-related criterionreferenced cut-points for CRF were pre-specified; however, there were low applicability concerns for the index test across studies.…”
Section: Risk Of Bias Within Studiesmentioning
confidence: 99%
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