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Is BMI Associated with Cardiorespiratory Fitness? A Cross-Sectional Analysis Among 8470 Apparently Healthy Subjects Aged 18–94 Years from the Low-Lands Fitness Registry
by
Hulzebos, H. J.
, Takken, T.
in
Age
/ Biomedical and Life Sciences
/ Biomedicine
/ Body mass index
/ Exercise
/ Females
/ Heart rate
/ Hospitals
/ Human Physiology
/ Males
/ Maximum oxygen consumption
/ Mortality
/ Obesity
/ Original Article
/ Overweight
/ Physical fitness
/ Regression analysis
2022
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Is BMI Associated with Cardiorespiratory Fitness? A Cross-Sectional Analysis Among 8470 Apparently Healthy Subjects Aged 18–94 Years from the Low-Lands Fitness Registry
by
Hulzebos, H. J.
, Takken, T.
in
Age
/ Biomedical and Life Sciences
/ Biomedicine
/ Body mass index
/ Exercise
/ Females
/ Heart rate
/ Hospitals
/ Human Physiology
/ Males
/ Maximum oxygen consumption
/ Mortality
/ Obesity
/ Original Article
/ Overweight
/ Physical fitness
/ Regression analysis
2022
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Is BMI Associated with Cardiorespiratory Fitness? A Cross-Sectional Analysis Among 8470 Apparently Healthy Subjects Aged 18–94 Years from the Low-Lands Fitness Registry
by
Hulzebos, H. J.
, Takken, T.
in
Age
/ Biomedical and Life Sciences
/ Biomedicine
/ Body mass index
/ Exercise
/ Females
/ Heart rate
/ Hospitals
/ Human Physiology
/ Males
/ Maximum oxygen consumption
/ Mortality
/ Obesity
/ Original Article
/ Overweight
/ Physical fitness
/ Regression analysis
2022
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Is BMI Associated with Cardiorespiratory Fitness? A Cross-Sectional Analysis Among 8470 Apparently Healthy Subjects Aged 18–94 Years from the Low-Lands Fitness Registry
Journal Article
Is BMI Associated with Cardiorespiratory Fitness? A Cross-Sectional Analysis Among 8470 Apparently Healthy Subjects Aged 18–94 Years from the Low-Lands Fitness Registry
2022
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Overview
Objective
The purpose of the present study was to investigate the association between cardiorespiratory fitness (CRF) measured as peak oxygen uptake (VO
2peak
, expressed in mL/min) and body mass index (BMI) in a large cohort of apparently healthy subjects.
Methods
BMI and VO
2peak
were measured in a cross-sectional study of 8470 apparently healthy adults. VO
2peak
(mL/min) was determined by an incremental cycle ergometer test to exhaustion. Linear regression analyses were performed to identify predictors of CRF.
Results
There was no difference in CRF between adults with a normal weight
(
BMI between 18.5–24.9 kg/m
2
) and those who were overweight
(
BMI 25.0–29.9 kg/m
2
). Subjects who were underweight
(
BMI < 18.5 kg/m
2
) as well as females who were obese (BMI ≥ 30.0 kg/m
2
) showed a reduced CRF compared to the normal and overweight groups. Age, height, and gender were significant predictors of CRF (
R
2
= 0.467,
P
< 0.0001); BMI did not add significantly to this relationship.
Conclusion
Our findings indicate that BMI was not associated with CRF in addition to age, height, and gender. In subjects with a BMI < 18.5 kg/m
2
, CRF was lower compared to subjects with a BMI between 18.5 and 29.9 kg/m
2
. In obese subjects, CRF was only lower in females compared to females with a BMI between 18.5 and 29.9 kg/m
2
. Correcting CRF for BMI may be beneficial for subjects with a low BMI, and females with a BMI ≥ 30.0 kg/m
2
. The outcome of this study might help to improve the interpretation of exercise testing results in individuals with a low or high BMI.
Publisher
Springer Nature Singapore,Springer Nature B.V
Subject
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