Beschreibung:
<jats:title>Abstract</jats:title><jats:p>Cardiorespiratory fitness measured as ˙VO2max is considered an
important variable in the risk prediction of cardiovascular disease and
all-cause mortality. Non-exercise ˙VO2max prediction models
are applicable, but lack accuracy. Here a model for the prediction of
˙VO2max using seismocardiography (SCG) was investigated.
97 healthy participants (18–65 yrs., 51 females) underwent
measurement of SCG at rest in the supine position combined with demographic data
to predict ˙VO2max before performing a graded exercise test
(GET) on a cycle ergometer for determination of ˙VO2max using
pulmonary gas exchange measurements for comparison. Accuracy assessment revealed
no significant difference between SCG and GET ˙VO2max
(mean±95% CI; 38.3±1.6 and
39.3±1.6 ml·min−1·kg−1,
respectively. P=0.075). Further, a Pearson correlation of
r=0.73, a standard error of estimate (SEE) of
5.9 ml·min−1·kg−1,
and a coefficient of variation (CV) of 8±1% were found. The SCG
˙VO2max showed higher accuracy, than the non-exercise
model based on the FRIENDS study, when this was applied to the present
population
(bias=−3.7±1.3 ml·min−1·kg−1,
p<0.0001. r=0.70.
SEE=7.4 ml·min−1·kg−1,
and CV=12±2%). The SCG ˙VO2max
prediction model is an accurate method for the determination of
˙VO2max in a healthy adult population. However, further
investigation on the validity and reliability of the SCG
˙VO2max prediction model in different populations is needed
for consideration of clinical applicability.</jats:p>