ESTIMATION OF V02MAx IN MIDDLE AGED ADULTS, OBTAINED IN A HOME ENVIRONMENT

Braakhuis, H.E.M. (2013) ESTIMATION OF V02MAx IN MIDDLE AGED ADULTS, OBTAINED IN A HOME ENVIRONMENT. thesis, Human Movement Sciences.

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Abstract

Aim: The main research question of this study is if V02max can be estimated from predefined walking activities performed outside the laboratory setting using activity count (IMA) and heart rate (HR) as parameters in healthy middle aged adults. Also, the effect of using different combinations walking speeds to determine relation between HR and IMA will be questioned. Methods: Eleven healthy subjects (1 female, 10 male) participated in the experiment which existed of three parts: a maximal exercise test on a cycle ergometer to measure V02max, measuring HR and IMA during treadmill walking at 2, 3, 4, 5 and 6 kmh-1 and monitoring HR and IMA in daily life walking. Different combinations of treadmill walking speeds were used to determine intercepts and slopes of relation between HR and IMA. Intercept and slope of the combination of speeds that predicted V02max best were used as entrance parameters in regression analysis next to general subject measures (age, gender, weight, length and BMI). Steady state HR and IMA data of daily life was used as input for the model to predict V02max· Results: Best combination of speeds in prediction of V02max based on treadmill walking was 2 and 4 kmh-1 . Intercept and slope of the relation of HR and IMA at 2 and 4 kmh-1 and gender were parameters in prediction model with highest explained variance (R2 = 0.90) and lowest SEE (3.04 0 2 kg-1 min -1). Using steady state daily life data as input in the model resulted in a correlation of 0.67 between predicted V02max and measured V02max· Conclusion: The present study was an encouraging first step towards prediction of V02max in a home environment. Data that was gathered indicates that daily life measurements should exist of steady state walking at minimal one low and one higher prescribed speed. Future research should focus on a larger sample size, including more women and broader range of cardia respiratory fitness level of subjects.

Item Type:	Thesis (Thesis)
Supervisor name:	Hortobagyi, T. and Center for Human Movement Sciences, Rijksuniversiteit Gronin
Supervisor name:	Tonis, T.M. and Vollenbroek-Hutten, M.M.R. and Roessingh Research & Development, Enschede
Faculty:	Medical Sciences
Date Deposited:	25 Jun 2020 10:51
Last Modified:	25 Jun 2020 10:51
URI:	https://umcg.studenttheses.ub.rug.nl/id/eprint/1228

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