Dorothea Dumuid1, Melissa Wake2, Susan Clifford3, David Burgner4, John B Carlin5, Fiona K Mensah5, François Fraysse6, Kate Lycett3, Louise Baur7, Timothy Olds8. 1. Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia. Electronic address: dot.dumuid@unisa.edu.au. 2. Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Pediatrics, The University of Melbourne, Parkville, Victoria, Australia; The Department of Pediatrics and Liggins Institute, University of Auckland, Auckland, New Zealand. 3. Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Pediatrics, The University of Melbourne, Parkville, Victoria, Australia. 4. Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Pediatrics, The University of Melbourne, Parkville, Victoria, Australia; The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Pediatrics, Monash University, Victoria, Australia. 5. Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Pediatrics, The University of Melbourne, Parkville, Victoria, Australia; The Royal Children's Hospital, Parkville, Victoria, Australia. 6. Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia. 7. Discipline of Child and Adolescent Health, University of Sydney, New South Wales, Australia. 8. Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Murdoch Children's Research Institute, Parkville, Victoria, Australia.
Abstract
OBJECTIVES: To evaluate how the reallocation of time between sleep, sedentary time, light, and moderate-vigorous activities is associated with children's body composition. STUDY DESIGN: Population-based cross-sectional Child Health CheckPoint within the Longitudinal Study of Australian Children (n = 938 11-12 year-olds, 50% boys). Twenty-four hour activity composition via accelerometry (minutes/day of sleep, sedentary time, light, and moderate-to-vigorous physical activity [MVPA]) and 3-part body composition (percentage truncal fat, percentage nontruncal fat, and percentage fat-free mass) via bioelectrical impedance analysis were measured. We estimated differences in 3-part body composition associated with the incremental reallocation of time between activities, using dual-compositional regression models adjusted for sex, age, puberty, and socioeconomic position. RESULTS: Reallocation of time between MVPA and any other activity was strongly associated with differences in body composition. Adverse body composition differences were larger for a given MVPA decrease than were the beneficial differences for an equivalent MVPA increase. For example, 15 minutes less MVPA (relative to remaining activities) was associated with absolute percentage differences of +1.7% (95% CI 1.2; 2.4) for truncal fat, +0.8% (0.6; 1.2) for nontruncal fat, and -2.6% (-3.5; -1.9) for fat-free mass, and a 15-minute increase was associated with -0.7% (-0.9; -0.5) truncal fat, -0.4% (-0.5; -0.3) nontruncal fat, and +1.1% (0.9; 1.5) fat-free mass. Reallocations between sleep, sedentary time, and light physical activity were not associated with differences in body composition. CONCLUSIONS: Preventing declines in MVPA during inactive periods (eg, holidays) may be an important intervention goal. More MVPA, instead of other activities, may benefit body composition.
OBJECTIVES: To evaluate how the reallocation of time between sleep, sedentary time, light, and moderate-vigorous activities is associated with children's body composition. STUDY DESIGN: Population-based cross-sectional Child Health CheckPoint within the Longitudinal Study of Australian Children (n = 938 11-12 year-olds, 50% boys). Twenty-four hour activity composition via accelerometry (minutes/day of sleep, sedentary time, light, and moderate-to-vigorous physical activity [MVPA]) and 3-part body composition (percentage truncal fat, percentage nontruncal fat, and percentage fat-free mass) via bioelectrical impedance analysis were measured. We estimated differences in 3-part body composition associated with the incremental reallocation of time between activities, using dual-compositional regression models adjusted for sex, age, puberty, and socioeconomic position. RESULTS: Reallocation of time between MVPA and any other activity was strongly associated with differences in body composition. Adverse body composition differences were larger for a given MVPA decrease than were the beneficial differences for an equivalent MVPA increase. For example, 15 minutes less MVPA (relative to remaining activities) was associated with absolute percentage differences of +1.7% (95% CI 1.2; 2.4) for truncal fat, +0.8% (0.6; 1.2) for nontruncal fat, and -2.6% (-3.5; -1.9) for fat-free mass, and a 15-minute increase was associated with -0.7% (-0.9; -0.5) truncal fat, -0.4% (-0.5; -0.3) nontruncal fat, and +1.1% (0.9; 1.5) fat-free mass. Reallocations between sleep, sedentary time, and light physical activity were not associated with differences in body composition. CONCLUSIONS: Preventing declines in MVPA during inactive periods (eg, holidays) may be an important intervention goal. More MVPA, instead of other activities, may benefit body composition.
Authors: Dorothea Dumuid; Melissa Wake; David Burgner; Mark S Tremblay; Anthony D Okely; Ben Edwards; Terence Dwyer; Timothy Olds Journal: PLoS One Date: 2021-01-19 Impact factor: 3.240
Authors: Kar Hau Chong; Anne-Maree Parrish; Dylan P Cliff; Dorothea Dumuid; Anthony D Okely Journal: Int J Environ Res Public Health Date: 2021-06-03 Impact factor: 3.390
Authors: Curtis Tilves; Joseph M Zmuda; Allison L Kuipers; Sangeeta Nair; John Jeffrey Carr; James G Terry; Shyamal Peddada; Victor Wheeler; Iva Miljkovic Journal: Obes Sci Pract Date: 2021-05-21
Authors: Dorothea Dumuid; Željko Pedišić; Javier Palarea-Albaladejo; Josep Antoni Martín-Fernández; Karel Hron; Timothy Olds Journal: Int J Environ Res Public Health Date: 2020-03-26 Impact factor: 4.614