Paul Remy Jones1, Tarja Rajalahti2, Geir Kåre Resaland3, Eivind Aadland4, Jostein Steene-Johannessen5, Sigmund Alfred Anderssen6, Tone Frost Bathen7, Trygve Andreassen8, Olav Martin Kvalheim9, Ulf Ekelund10. 1. Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway. Electronic address: paul.jones@nih.no. 2. Department of Chemistry, University of Bergen, Bergen, Norway; Førde Health Trust, Førde, Norway. Electronic address: tarja.rajalahti@uib.no. 3. Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway; Center for Health Research, Førde Central Hospital, Førde, Norway. Electronic address: geir.kare.resaland@hvl.no. 4. Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway. Electronic address: eivind.aadland@hvl.no. 5. Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway. Electronic address: jostein.steene-johannessen@nih.no. 6. Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway; Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway. Electronic address: s.a.anderssen@nih.no. 7. Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. Electronic address: tone.f.bathen@ntnu.no. 8. Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. Electronic address: trygve.andreassen@ntnu.no. 9. Department of Chemistry, University of Bergen, Bergen, Norway. Electronic address: olav.kvalheim@uib.no. 10. Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway. Electronic address: ulf.ekelund@nih.no.
Abstract
BACKGROUND AND AIMS: Physical activity is favourably associated with certain markers of lipid metabolism. The relationship of physical activity with lipoprotein particle profiles in children is not known. Here we examine cross-sectional associations between objectively measured physical activity and sedentary time with serum markers of lipoprotein metabolism. METHODS: Our cohort included 880 children (49.0% girls, mean age 10.2 years). Physical activity intensity and time spent sedentary were measured objectively using accelerometers. 30 measures of lipoprotein metabolism were quantified using nuclear magnetic resonance spectroscopy. Multiple linear regression models adjusted for age, sex, sexual maturity and socioeconomic status were used to determine associations of physical activity and sedentary time with lipoprotein measures. Additional models were adjusted for adiposity. Isotemporal substitution models quantified theoretical associations of replacing 30 min of sedentary time with 30 min of moderate- to vigorous-intensity physical activity (MVPA). RESULTS: Time spent in MVPA was associated with a favourable lipoprotein profile independent of sedentary time. There were inverse associations with a number of lipoprotein measures, including most apolipoprotein B-containing lipoprotein subclasses and triglyceride measures, the ratio of total to high-density lipoprotein (HDL) cholesterol, and non-HDL cholesterol concentration. There were positive associations with larger HDL subclasses, HDL cholesterol concentration and particle size. Reallocating 30 min of sedentary time to MVPA had broadly similar associations. Sedentary time was only partly and weakly associated with an unfavourable lipoprotein profile. CONCLUSIONS: Physical activity of at least moderate-intensity is associated with a favourable lipoprotein profile in schoolchildren, independent of time spent sedentary, adiposity and other confounders.
BACKGROUND AND AIMS: Physical activity is favourably associated with certain markers of lipid metabolism. The relationship of physical activity with lipoprotein particle profiles in children is not known. Here we examine cross-sectional associations between objectively measured physical activity and sedentary time with serum markers of lipoprotein metabolism. METHODS: Our cohort included 880 children (49.0% girls, mean age 10.2 years). Physical activity intensity and time spent sedentary were measured objectively using accelerometers. 30 measures of lipoprotein metabolism were quantified using nuclear magnetic resonance spectroscopy. Multiple linear regression models adjusted for age, sex, sexual maturity and socioeconomic status were used to determine associations of physical activity and sedentary time with lipoprotein measures. Additional models were adjusted for adiposity. Isotemporal substitution models quantified theoretical associations of replacing 30 min of sedentary time with 30 min of moderate- to vigorous-intensity physical activity (MVPA). RESULTS: Time spent in MVPA was associated with a favourable lipoprotein profile independent of sedentary time. There were inverse associations with a number of lipoprotein measures, including most apolipoprotein B-containing lipoprotein subclasses and triglyceride measures, the ratio of total to high-density lipoprotein (HDL) cholesterol, and non-HDL cholesterol concentration. There were positive associations with larger HDL subclasses, HDL cholesterol concentration and particle size. Reallocating 30 min of sedentary time to MVPA had broadly similar associations. Sedentary time was only partly and weakly associated with an unfavourable lipoprotein profile. CONCLUSIONS: Physical activity of at least moderate-intensity is associated with a favourable lipoprotein profile in schoolchildren, independent of time spent sedentary, adiposity and other confounders.