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JanssenIan
273Publications
65H-index
26kCitations
Publications 273
Newest
#1Michael M. Borghese (Queen's University)H-Index: 12
#2Emily Borgundvaag (Queen's University)H-Index: 1
Last.JanssenIan (Queen's University)H-Index: 65
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Background A limitation of measuring sedentary time with an accelerometer is device removal. The resulting nonwear time is typically deleted from the data prior to calculating sedentary time. This could impact estimates of sedentary time and its associations with health indicators. We evaluated whether using multiple imputation to replace nonwear accelerometer epochs influences such estimates in children.
#1Anne P Macgregor (UM: University of Michigan)
#2Michael M Borghese (UM: University of Michigan)
Last.Ian Janssen (UM: University of Michigan)
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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. ...
#1JanssenIan (Queen's University)H-Index: 65
#2Richard L. Berg (Marshfield Clinic)H-Index: 30
Last.William Pickett (Queen's University)H-Index: 45
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Children’s independent mobility (IM), their freedom to move about their neighbourhood without supervision by adults, has been in steady decline in recent decades. Previous research has linked perceptions of the environment with various measures of IM, but recently concerns have been raised regarding inconsistency in measuring IM. This study used various measures of IM and aimed to address how parental perceptions of the neighbourhood environment are associated with children’s territorial range (...
#1Laura K. Callender (Queen's University)
#2Michael M. Borghese (Queen's University)H-Index: 12
Last.JanssenIan (Queen's University)H-Index: 65
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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,...
Open streets programs are free and multisectoral programs in which streets are temporally closed allowing access to walkers, runners, rollerbladers, and cyclists. The Move on Bikes program (by its name in Spanish Muevete en Bici) (MEB) consists of 55 km of interconnected streets in middle-high income areas of Mexico City. There is scarce evidence on the evaluation of this program in Mexico. The purposes of this study were to estimate the participation, physical activity levels among the MEB part...
Objectives To use a predominately objective measurement approach to assess and describe: (1) the amount of time that children aged 10–13 years spend participating in outdoor active play, active travel, curriculum-based physical activity at school, and organized sport; (2) the movement intensity composition of these four types of physical activity (i.e., % of time spent at a sedentary, light, or moderate-to-vigorous intensity); and (3) the proportion of each movement intensity obtained by partici...
#1Mijal Vonderwalde (Queen's University)
#2Justyna Cox (Queen's University)
Last.JanssenIan (Queen's University)H-Index: 65
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Abstract This study examined the temporal relationship between objective measures of neighborhood crime and active transportation among children. A sample of 387 children aged 10–13 years from Kingston, Canada were studied between January 2015 and December 2016. Active transportation was measured over 7 days using Geographic Information System loggers. The number of crimes per capita were measured within a 1 km distance of participants' homes for the 24-month period prior to when their active tr...
#1Iwona A. Bielska (Queen's University)H-Index: 1
#2Robert J. Brison (Queen's University)H-Index: 42
Last.William Pickett (Queen's University)H-Index: 45
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Abstract Objective Ankle sprains are common injuries that may lead to long-term morbidity. Individuals with obesity are at increased risk for ankle sprains; however, prognostic associations between body mass index (BMI) and recovery are less well understood. This study investigated whether BMI status affects recovery from ankle sprains. Methods We included individuals ≥ 16 years old with grade 1 or 2 ankle sprains who sought emergency department treatment in Kingston, Ontario, Canada. Height in ...
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