Why the study?
Does individualized heart rate regression better predict minute ventilation than generalized equations in girls aged 7-14?
Does individualized heart rate regression better predict minute ventilation than generalized equations in girls aged 7-14?
Individualized heart rate-to-minute ventilation regression models provide a practical method for estimating ambulatory minute ventilation in children, outperforming generalized equations.
May support individualized HR-VE models for pediatric ventilation estimates; hypothesis-generating pending prospective validation.
Models to indirectly estimate minute ventilation (V̇E) from heart rate (HR) monitored during normal activity were developed. VE-to-HR relationships were established from V̇E and HR measured in a graded cycle ergometer test performed by 99 girls, 7-14 years of age. The regression In V̇E = a + (b × HR) was a better predictor of V̇E, when individually determined, than were generalized prediction equations. V̇E, estimated by applying individual VE-to-HR regressions to HR monitored over 10 daytime hours, ranged between 11.5 and 14.5 L·min⁻¹. This is a practical method of estimating V̇E, but further validation of the relationships with HR under various modes of exercise are necessary to improve the prediction in everyday settings.
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Haines et al. (1992) studied this question.
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