• A new approach to define and diagnose cardiometabolic disorder in children 

      Andersen, Lars Bo; Lauersen, Jeppe Bo; Brønd, Jan Christian; Anderssen, Sigmund A.; Sardinha, Luis B.; Steene-Johannessen, Jostein; McMurray, Robert G.; Barros, Mauro V. G.; Kriemler, Susi; Møller, Niels Christian; Bugge, Anna; Kristensen, Peter Lund; Ried-Larsen, Mathias; Grøntved, Anders; Ekelund, Ulf (Journal article; Peer reviewed, 2015)
      The aim of the study was to test the performance of a new definition of metabolic syndrome (MetS), which better describes metabolic dysfunction in children. Methods. 15,794 youths aged 6–18 years participated. Mean z-score ...
    • The ActiGraph counts processing and the assessment of vigorous activity 

      Brønd, Jan Christian; Aadland, Eivind; Andersen, Lars Bo; Resaland, Geir Kåre; Anderssen, Sigmund Alfred; Arvidsson, Daniel (Peer reviewed; Journal article, 2019)
      The purpose of this study was to investigate the effect of different band‐pass filters on the measurement bias with ActiGraph counts during high speed running and for estimating free‐living vigorous physical activity (VPA). ...
    • Generating actiGraph counts from raw acceleration recorded by an alternative monitor 

      Brønd, Jan Christian; Andersen, Lars Bo; Arvidsson, Daniel (Journal article; Peer reviewed, 2017)
      Purpose: This study aimed to implement an aggregation method in Matlab for generating ActiGraph counts from raw acceleration recorded with an alternative accelerometer device and to investigate the validity of the method. ...
    • Mechanical and free living comparisons of four generations of the Actigraph activity monitor 

      Ried-Larsen, Mathias; Brønd, Jan Christian; Brage, Søren; Hansen, Bjørge Herman; Grydeland, May; Andersen, Lars Bo; Møller, Niels C. (Journal article; Peer reviewed, 2012-09-12)
      Background More studies include multiple generations of the Actigraph activity monitor. So far no studies have compared the output including the newest generation and investigated the impact on the output of the activity ...
    • Physical activity, sedentary behavior, and long-term cardiovascular risk in young people: A review and discussion of methodology in prospective studies 

      Tarp, Jakob; Brønd, Jan Christian; Andersen, Lars Bo; Møller, Niels Christian; Froberg, Karsten; Grøntvedt, Anders (Journal article; Peer reviewed, 2016-06)
      The long-term effects of physical activity (PA) or sedentary behavior on cardiovascular health in young people are not well understood. In this study, we use a narrative format to review the evidence for a prospective ...
    • Re-examination of accelerometer data processing and calibration for the assessment of physical activity intensity 

      Arvidsson, Daniel; Fridolfsson, Jonatan; Börjesson, Mats; Andersen, Lars Bo; Ekblom, Örjan; Dencker, Magnus; Brønd, Jan Christian (Peer reviewed; Journal article, 2019)
      This review re‐examines the use of accelerometer and oxygen uptake data for the assessment of activity intensity. Accelerometers capture mechanical work, while oxygen uptake captures the energy cost of this work. Frequency ...
    • Recommendations for determining the validity of consumer wearable and smartphone step count: Expert statement and checklist of the INTERLIVE network 

      Johnston, William; Júdice, Pedro B.; Molina-Garcia, Pablo; Lykke Skovgaard, Esben; Stang, Julie; Schumann, Moritz; Cheng, Shulin; Bloch, Wilhelm; Brønd, Jan Christian; Ekelund, Ulf; Grøntved, Anders; Caulfield, Brian; Ortega, Francisco B.; Sardinha, Luís B.; Mühlen, Jan M. (Peer reviewed; Journal article, 2020)
      Consumer wearable and smartphone devices provide an accessible means to objectively measure physical activity (PA) through step counts. With the increasing proliferation of this technology, consumers, practitioners and ...
    • Validation of SenseWear Armband in children, adolescents, and adults 

      Lopez, Garcia; Brønd, Jan Christian; Andersen, Lars Bo; Dencker, Magnus; Arvidsson, Daniel (Journal article; Peer reviewed, 2017)
      SenseWear Armband (SW) is a multisensor monitor to assess physical activity and energy expenditure. Its prediction algorithms have been updated periodically. The aim was to validate SW in children, adolescents, and adults. ...