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Is replacing time spent in one type of physical activity with another associated with health in children

Published on Jan 17, 2019in Applied Physiology, Nutrition, and Metabolism3.46
· DOI :10.1139/apnm-2018-0323
Anne P Macgregor (UM: University of Michigan), Michael M Borghese (UM: University of Michigan)+ 0 AuthorsIan Janssen (UM: University of Michigan)
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Abstract
Altering the proportion of total physical activity time accumulated while participating in different types of physical activity may influence health. Our objective was to use observational data to estimate whether replacing time from one physical activity type with another is associated with physical and mental health indicators among children. Participants were 385 children aged 10-13 years. They wore a Global Positioning System watch and accelerometer and completed an activity log for 7 days. Data from these instruments was used to estimate time spent in outdoor active play, organized sport, curriculum-based physical activity at school, and active transportation. A cardiometabolic risk factor score was created from body fat, resting heart rate, and resting blood pressure measures. An internalizing symptoms score was created using anxiety and depression symptom questionnaire items. Isotemporal substitution models estimated if health indicators changed when time in one type of physical activity was replac...
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Published on Dec 1, 2018in BMC Public Health2.57
Michael M. Borghese12
Estimated H-index: 12
(Queen's University),
JanssenIan65
Estimated H-index: 65
(Queen's University)
Children participate in four main types of physical activity: organized sport, active travel, outdoor active play, and curriculum-based physical activity. The objective of this study was to develop a valid approach that can be used to concurrently measure time spent in each of these types of physical activity. Two samples (sample 1: n = 50; sample 2: n = 83) of children aged 10–13 wore an accelerometer and a GPS watch continuously over 7 days. They also completed a log where they recorded the st...
Published on Dec 1, 2018in Statistical Methods in Medical Research2.39
Dorothea Dumuid9
Estimated H-index: 9
(UniSA: University of South Australia),
Tyman Stanford11
Estimated H-index: 11
(University of Adelaide)
+ 17 AuthorsMikael Fogelholm47
Estimated H-index: 47
The health effects of daily activity behaviours (physical activity, sedentary time and sleep) are widely studied. While previous research has largely examined activity behaviours in isolation, recent studies have adjusted for multiple behaviours. However, the inclusion of all activity behaviours in traditional multivariate analyses has not been possible due to the perfect multicollinearity of 24-h time budget data. The ensuing lack of adjustment for known effects on the outcome undermines the va...
Published on Oct 1, 2017in Environmental Research5.03
Iana Markevych14
Estimated H-index: 14
(LMU: Ludwig Maximilian University of Munich),
Julia Schoierer2
Estimated H-index: 2
(LMU: Ludwig Maximilian University of Munich)
+ 16 AuthorsMark J. Nieuwenhuijsen77
Estimated H-index: 77
(UPF: Pompeu Fabra University)
Abstract Background In a rapidly urbanizing world, many people have little contact with natural environments, which may affect health and well-being. Existing reviews generally conclude that residential greenspace is beneficial to health. However, the processes generating these benefits and how they can be best promoted remain unclear. Objectives During an Expert Workshop held in September 2016, the evidence linking greenspace and health was reviewed from a transdisciplinary standpoint, with a p...
Published on Jun 1, 2016in Applied Physiology, Nutrition, and Metabolism3.46
Veronica J. Poitras13
Estimated H-index: 13
,
Casey E Gray18
Estimated H-index: 18
+ 9 AuthorsE KhoMichelle32
Estimated H-index: 32
Moderate-to-vigorous physical activity (MVPA) is essential for disease prevention and health promotion. Emerging evidence suggests other intensities of physical activity (PA), including light-intensity activity (LPA), may also be important, but there has been no rigorous evaluation of the evidence. The purpose of this systematic review was to examine the relationships between objectively measured PA (total and all intensities) and health indicators in school-aged children and youth. Online datab...
Published on Oct 13, 2015in PLOS ONE2.78
Sebastien Chastin17
Estimated H-index: 17
(GCU: Glasgow Caledonian University),
Javier Palarea-Albaladejo15
Estimated H-index: 15
+ 1 AuthorsDawn A. Skelton25
Estimated H-index: 25
(GCU: Glasgow Caledonian University)
The associations between time spent in sleep, sedentary behaviors (SB) and physical activity with health are usually studied without taking into account that time is finite during the day, so time spent in each of these behaviors are codependent. Therefore, little is known about the combined effect of time spent in sleep, SB and physical activity, that together constitute a composite whole, on obesity and cardio-metabolic health markers. Cross-sectional analysis of NHANES 2005–6 cycle on N = 193...
Mariana J. Brussoni13
Estimated H-index: 13
,
Rebecca Gibbons2
Estimated H-index: 2
+ 12 AuthorsJanssenIan65
Estimated H-index: 65
Risky outdoor play has been associated with promoting children’s health and development, but also with injury and death. Risky outdoor play has diminished over time, concurrent with increasing concerns regarding child safety and emphasis on injury prevention. We sought to conduct a systematic review to examine the relationship between risky outdoor play and health in children, in order to inform the debate regarding its benefits and harms. We identified and evaluated 21 relevant papers for quali...
Published on Mar 1, 2015in Medicine and Science in Sports and Exercise4.48
Jordan A. Carlson21
Estimated H-index: 21
,
Marta M. Jankowska10
Estimated H-index: 10
+ 6 AuthorsJacqueline Kerr51
Estimated H-index: 51
AB Purpose: The objective of this study is to assess validity of the personal activity location measurement system (PALMS) for deriving time spent walking/running, bicycling, and in vehicle, using SenseCam (Microsoft, Redmond, WA) as the comparison. Methods: Forty adult cyclists wore a Qstarz BT-Q1000XT GPS data logger (Qstarz International Co., Taipei, Taiwan) and SenseCam (camera worn around the neck capturing multiple images every minute) for a mean time of 4 d. PALMS used distance and speed ...
Published on Oct 21, 2014in Systems Research and Behavioral Science1.05
Rita Berto8
Estimated H-index: 8
Physical settings can play a role in coping with stress; in particular experimental research has found strong evidence between exposure to natural environments and recovery from physiological stress and mental fatigue, giving support to both Stress Recovery Theory and Attention Restoration Theory. In fact, exposure to natural environments protects people against the impact of environmental stressors and offer physiological, emotional and attention restoration more so than urban environments. Nat...
JanssenIan65
Estimated H-index: 65
(Queen's University)
OBJECTIVES: To quantify and compare the number of calories that school-aged Canadian children expend to meet established benchmarks for active play and organized physical activities (i.e., organized sport, physical education, active transportation). METHODS: This study was informed by the benchmarks (i.e., amount of activity a child needs to be sufficiently active) and grades (i.e., how Canada as a country is doing) for the physical activity domains included in the Active Healthy Kids Canada Rep...
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Published on Jun 1, 2019in Journal of Sport and Health Science3.64
Laura K. Callender (Queen's University), Michael M. Borghese12
Estimated H-index: 12
(Queen's University),
JanssenIan65
Estimated H-index: 65
(Queen's University)
Abstract Purpose The purpose of this study was to determine which intensities, patterns, and types of 24-h movement behaviors are most strongly associated with cardiometabolic risk factors among children. Methods A total of 369 children aged 10–13 years were studied. Participants wore an Actical accelerometer and a Garmin Forerunner 220 GPS logger and completed an activity and sleep log for 7 days. Data from these instruments were combined to estimate average minutes/day spent in 14 intensities,...