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Bjarne M. Nes
Norwegian University of Science and Technology
Cardiorespiratory fitnessPhysical therapyVO2 maxDiabetes mellitusMedicine
29Publications
13H-index
456Citations
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Publications 31
Newest
#1Lars Elnan Garnvik (NTNU: Norwegian University of Science and Technology)H-Index: 1
#2Vegard Malmo (NTNU: Norwegian University of Science and Technology)H-Index: 5
Last. Bjarne M. Nes (NTNU: Norwegian University of Science and Technology)H-Index: 13
view all 7 authors...
AIMS: Atrial fibrillation (AF) confers higher risk of mortality and morbidity, but the long-term impact of physical activity (PA) and cardiorespiratory fitness (CRF) on outcomes in AF patients is unknown. We, therefore, examined the prospective associations of PA and estimated CRF (eCRF) with all-cause mortality, cardiovascular disease (CVD) mortality, morbidity and stroke in individuals with AF. METHODS AND RESULTS: We followed 1117 AF patients from the HUNT3 study in 2006-08 until first occurr...
3 CitationsSource
#1Jon Magne Letnes (NTNU: Norwegian University of Science and Technology)H-Index: 1
#2Bjarne M. Nes (NTNU: Norwegian University of Science and Technology)H-Index: 13
Last. Håvard Dalen (NTNU: Norwegian University of Science and Technology)H-Index: 20
view all 9 authors...
Background Left atrial (LA) size and cardiorespiratory fitness (CRF) are predictors of future cardiovascular events in high‐risk populations. LA dilatation is a diagnostic criterion for left ventri...
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AbstractPurposeTo investigate the association between estimated cardiorespiratory fitness (eCRF) and risk of atrial fibrillation (AF), and examine how long-term changes in eCRF affects the AF risk.MethodsThis prospective cohort study includes data of 39 844 men and women from the HUNT2 (August 15, 1
1 CitationsSource
#1Javaid Nauman (United Arab Emirates University)H-Index: 17
#2Bjarne M. Nes (NTNU: Norwegian University of Science and Technology)H-Index: 13
Last. Ulrik Wisløff (NTNU: Norwegian University of Science and Technology)H-Index: 69
view all 7 authors...
Abstract Despite all the evidence of health benefits related to physical activity (PA) and cardiorespiratory fitness (CRF), low levels of PA have reached pandemic proportions, and inactivity is the fourth leading cause of death worldwide. Lack of time, and inability to self-manage are often cited as main barriers to getting adequate PA. Recently, a new personalized metric for PA tracking named Personal Activity Intelligence (PAI) was developed with the aim to make it easier to quantify how much ...
1 CitationsSource
#1Jon Magne Letnes (NTNU: Norwegian University of Science and Technology)H-Index: 1
#2Håvard Dalen (NTNU: Norwegian University of Science and Technology)H-Index: 20
Last. Bjarne M. Nes (NTNU: Norwegian University of Science and Technology)H-Index: 13
view all 5 authors...
AIMS: The majority of previous research on the association between cardiorespiratory fitness (CRF) and cardiovascular disease (CVD) is based on indirect assessment of CRF in clinically referred predominantly male populations. Therefore, our aim was to examine the associations between VO2peak measured by the gold-standard method of cardiopulmonary exercise testing and fatal and non-fatal coronary heart disease (CHD) in a healthy and fit population. METHODS AND RESULTS: Data on VO2peak from 4527 a...
5 CitationsSource
#1Jon Magne Letnes (NTNU: Norwegian University of Science and Technology)H-Index: 1
#2Bjarne M. Nes (NTNU: Norwegian University of Science and Technology)H-Index: 13
Last. Cerg
view all 10 authors...
Source
#1Lars Elnan Garnvik (NTNU: Norwegian University of Science and Technology)H-Index: 1
#2Vegard Malmo (NTNU: Norwegian University of Science and Technology)H-Index: 5
Last. Bjarne M. Nes (NTNU: Norwegian University of Science and Technology)H-Index: 13
view all 6 authors...
BackgroundAtrial fibrillation is the most common heart rhythm disorder, and high body mass index is a well-established risk factor for atrial fibrillation. The objective of this study was to examine the associations of physical activity and body mass index and risk of atrial fibrillation, and the modifying role of physical activity on the association between body mass index and atrial fibrillation.DesignThe design was a prospective cohort study.MethodsThis study followed 43,602 men and women fro...
5 CitationsSource
#1Javaid Nauman (NTNU: Norwegian University of Science and Technology)H-Index: 17
#2Lucas C. Tauschek (NTNU: Norwegian University of Science and Technology)H-Index: 1
Last. Ulrik Wisløff (NTNU: Norwegian University of Science and Technology)H-Index: 69
view all 5 authors...
Abstract Importance Cardiorespiratory fitness (CRF) has shown to improve the classification beyond traditional risk factors and cumulative lifetime risk of death, however, there is no formal multicenter database that provides representative sample on a global scale to accurately interpret CRF measures. Objective The objective of the study was to describe worldwide web-surveillance data of CRF. Design Cross-sectional population based study. Setting Data was collected through a web-based questionn...
20 CitationsSource
#1Nina Zisko (NTNU: Norwegian University of Science and Technology)H-Index: 6
#2Kjerstin Næss Skjerve (NTNU: Norwegian University of Science and Technology)H-Index: 1
Last. Javaid Nauman (NTNU: Norwegian University of Science and Technology)H-Index: 17
view all 7 authors...
Prolonged sedentary behavior (SB) positively associates with clustering of risk factors for cardiovascular disease (CVD). The recently developed metric for physical activity (PA) tracking called Personal Activity Intelligence (PAI) takes into account age, sex, resting and maximum heart rate, and a score of ≥100 weekly PAI has been shown to reduce the risk of premature CVD death in healthy as well as individuals with known CVD risk factors, regardless of whether or not the current PA recommendati...
21 CitationsSource
#1Bjarne M. Nes (NTNU: Norwegian University of Science and Technology)H-Index: 13
#2Christian R. Gutvik (NTNU: Norwegian University of Science and Technology)H-Index: 6
Last. Ulrik Wisløff (UQ: University of Queensland)H-Index: 69
view all 5 authors...
Abstract Purpose To derive and validate a single metric of activity tracking that associates with lower risk of cardiovascular disease mortality. Methods We derived an algorithm, Personalized Activity Intelligence (PAI), using the HUNT Fitness Study (n = 4631), and validated it in the general HUNT population (n = 39,298) aged 20-74 years. The PAI was divided into three sex-specific groups (≤50, 51-99, and ≥100), and the inactive group (0 PAI) was used as the referent. Hazard ratios for all-cause...
28 CitationsSource
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