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Bjarne M. Nes
Norwegian University of Science and Technology
28Publications
13H-index
385Citations
Publications 28
Newest
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
#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: 67
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 ...
#1Jon Magne Letnes (NTNU: Norwegian University of Science and Technology)H-Index: 1
#2Håvard Dalen (NTNU: Norwegian University of Science and Technology)H-Index: 19
Last.Bjarne M. Nes (NTNU: Norwegian University of Science and Technology)H-Index: 13
view all 5 authors...
#1Lars Elnan Garnvik (NTNU: Norwegian University of Science and Technology)H-Index: 1
#2Vegard Malmo (NTNU: Norwegian University of Science and Technology)H-Index: 4
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...
#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
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#1Nina Zisko (NTNU: Norwegian University of Science and Technology)H-Index: 5
#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...
#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: 67
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...
#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: 67
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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...
#1Trine KarlsenH-Index: 15
#2Bjarne M. Nes (NTNU: Norwegian University of Science and Technology)H-Index: 13
Last.Sigurd SteinshamnH-Index: 17
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Background Three hours per week of vigorous physical activity is found to be associated with reduced odds of sleep-disordered breathing. Aim To investigate whether 12 weeks of high-intensity interval training (HIIT) reduced the apnoea–hypopnea index (AHI) in obese subjects with moderate-to-severe obstructive sleep apnoea. Methods In a prospective randomised controlled exercise study, 30 (body mass index 37±6 kg/m 2 , age 51±9 years) patients with sleep apnoea (AHI 41.5±25.3 events/hour) were ran...
#1Javaid Nauman (NTNU: Norwegian University of Science and Technology)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: 67
view all 8 authors...
Abstract Objective To assess the predictive value of estimated cardiorespiratory fitness (eCRF) and evaluate the additional contribution of traditional risk factors in cardiovascular disease (CVD) mortality prediction. Participants and Methods The study included healthy men (n=18,721) and women (n=19,759) aged 30 to 74 years. A nonexercise algorithm estimated cardiorespiratory fitness. Cox proportional hazards models evaluated the primary (CVD mortality) and secondary (all-cause, ischemic heart ...
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