Work

Association of Step Count with Cardiorespiratory Fitness: Results from the Virtual 2-Minute Step Test

Year: 2024
Type: article
Abstract: Objective To test the hypothesis that step count based on a virtual 2-minute step test (2MST) predicts cardiorespiratory fitness (CRF). Design Cross-sectional study. Setting Veteran Affairs Medical Centers participating in a randomized trial of functional exercise training delivered by videoconferencing. Participants People with human immunodeficiency virus (HIV) (PWH) who were aged ≥50 years and clinically stable on antiretroviral therapy were eligible for the trial. Consecutive male participants who were enrolled prior to November 9, 2023 and completed a baseline 2MST and cardiopulmonary exercise test (CPET) were included in the cross-sectional study (N=74). Intervention None. Main Outcome Measures Step count was measured by a 2MST performed by live videoconferencing using the Rikli and Jones protocol. CRF was measured by peak oxygen utilization (VO 2 peak) during a modified Bruce cardiopulmonary exercise testing. Results Most participants (62.2%) were ≥60 years of age. The mean (SD) VO 2 peak was 23.6 (5.7) mL/kg/min, which represented 72.4% (SD, 14.1) of expected VO 2 peak. Step count correlated with VO 2 peak ( r =0.47, P <.001). Multivariable linear regression showed that step count was significantly associated with VO 2 peak independently of age and body mass index. Based on this model, the prediction of VO 2 peak based on step count explained 60% of the variance in VO 2 peak. A Bland-Altman plot showed good agreement between predicated and measured VO 2 peak without heteroscedasticity. Conclusions The virtual 2MST predicted VO 2 peak independently of age and body mass index in men with well-controlled HIV. In ambulatory populations with known impaired cardiorespiratory fitness, the virtual 2MST may be a feasible and valid estimate of VO 2 peak that can be used in the telerehabilitation setting. Future work is required in more demographically diverse individuals with various chronic conditions.
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,500
OpenAlex ID: W4405196798
FWCI: 0.417
Cites: 34
Cited by: 1
Related to: 10