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Personal Activity Intelligence (PAI), Sedentary Behavior and Cardiovascular Risk Factor Clustering - the HUNT Study.
Zisko, Nina; Skjerve, Kjerstin Næss; Tari, Atefe R; Sandbakk, Silvana Bucher; Wisløff, Ulrik; Nes, Bjarne M; Nauman, Javaid.
Afiliación
  • Zisko N; K.G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Faculty of Medicine, Trondheim, Norway.
  • Skjerve KN; K.G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Faculty of Medicine, Trondheim, Norway.
  • Tari AR; K.G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Faculty of Medicine, Trondheim, Norway.
  • Sandbakk SB; K.G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Faculty of Medicine, Trondheim, Norway.
  • Wisløff U; K.G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Faculty of Medicine, Trondheim, Norway; School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.
  • Nes BM; K.G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Faculty of Medicine, Trondheim, Norway; Department of Cardiology, St. Olavs Hospital, Norway. Electronic address: bjarne.nes@ntnu.no.
  • Nauman J; K.G. Jebsen Center of Exercise in Medicine at the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Faculty of Medicine, Trondheim, Norway; Department of Cardiology, St. Olavs Hospital, Norway.
Prog Cardiovasc Dis ; 60(1): 89-95, 2017.
Article en En | MEDLINE | ID: mdl-28274818
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 recommendations were met. The aim of the present study was to examine if PAI modifies the associations between SB and CVD risk factor (CV-RF) clustering in a large apparently healthy general population cohort (n=29,950, aged ≥20 years). Logistic regression revealed that in those with ≥100 weekly PAI, the likelihood of CV-RF clustering prevalence associated with prolonged SB was attenuated across age groups. Monitoring weekly PAI-level could be useful to ensure that people perform enough PA to combat SB's deleterious association with CV-RF.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Risk_factors_studies Idioma: En Revista: Prog Cardiovasc Dis Año: 2017 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Risk_factors_studies Idioma: En Revista: Prog Cardiovasc Dis Año: 2017 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Estados Unidos