My fitness was off the charts and I still had a major stroke.
http://www.alphagalileo.org/ViewItem.aspx?ItemId=170070&CultureCode=en
Despite its high value in assessment of risk, fitness is not
routinely measured in clinical practice. The likely reason for this is
the costly and time consuming testing procedure that requires trained
personnel and expensive equipment. Therefore, research has recently
turned to non-exercise algorithms, which, without the need for expensive
equipment or trained personnel, estimate fitness from available
clinical information and information provided by the patient.
It is well known that individuals who are unfit are at substantially
greater risk for lifestyle-related diseases and premature death. Despite
its high value in assessment of risk, fitness is not routinely measured
in clinical practice. The likely reason for this is the costly and time
consuming testing procedure that requires trained personnel and
expensive equipment. Therefore, research has recently turned to
non-exercise algorithms, which, without the need for expensive equipment
or trained personnel, estimate fitness from available clinical
information and information provided by the patient.
In a new study published in Mayo Clinic Proceedings, researchers from
K.G. Jebsen Center for Exercise in Medicine, at Norwegian University of
Science and Technology tested the value of estimated fitness in
predicting the risk of premature death from either heart disease or any
other cause, alone or in combination with other risk factors such as
high blood pressure, smoking status, alcohol consumption, family history
of heart disease, and diabetes. In other words, they investigated
whether adding estimated fitness to traditional risk factors could
improve the reliability of predicting premature death.
In order to test their hypothesis, the researchers analyzed data
available on 38,480 men and women who participated in the second wave of
the Nord-Trondelag Health Study (HUNT2), followed up for up to 16
years.
“We found that estimating fitness was enough to predict future risk
of premature death from all causes. There was no need to perform
complicated risk score algorithms that traditionally are used to
calculate risk,” explained Javaid Nauman, PhD, and Bjarne M. Nes, PhD,
first co-authors of the study.
“With the increase in lifestyle-related diseases around the world,
estimated fitness is an easy, cost-effective method that could
significantly help medical professionals identify people at high risk
and improve patient management,” commented co-author Carl J. Lavie, MD,
from the John Ochsner Heart and Vascular Institute, New Orleans, LA.
“And just as importantly, it is a test that individuals can easily
use to assess his/her own Fitness Number and Fitness Age, and in cases
of low fitness do something about it! The only thing needed is access to
the Internet and/or a smartphone as we have made this tool freely
available (worldfitnesslevel.org and as apps on Google Play and Apple
Store),” noted Ulrik Wisløff, PhD, lead investigator of the study.
Video Caption: Drs Javaid Nauman and Bjarne Nes from the Norwegian
University of Science and Technology in Trondheim, Norway, discuss their
article appearing in the February 2017 issue of Mayo Clinic
Proceedings, which reported on an algorithm created to predict
cardiovascular mortality. They found that this estimated measure was
accurate in determining risk of death based on low levels of estimated
cardiorespiratory fitness and suggests this as an effective tool for
clinicians in patient discussions on cardiovascular health and exercise.
See the video at:
https://youtu.be/sS_G_2pqKMY
No comments:
Post a Comment