Search

Highlights • Many movement behavior characteristics were associated with cardiometabolic risk. • Movement intensities were more consistently correlate with cardiometabolic risk. • Higher physical activity intensities were the strongest correlates of risk., 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 Global Positioning System logger and completed an activity and sleep log for 7 days. Data from these instruments were combined to estimate average minute per day spent in 14 intensities, 11 types, and 14 patterns of movement. Body mass index, resting heart rate, and systolic blood pressure values were combined to create a cardiometabolic risk factor score. Partial least squares regression analysis was used to examine associations between the 39 movement behavior characteristics and the cardiometabolic risk factor score. The variable importance in projection (VIP) values were used to determine and rank important movement behavior characteristics. There was evidence of interaction by biological maturity, and the analyses were conducted separately in the 50% least mature and 50% most mature participants. Results For the least biologically mature participants, fifteen of the 39 movement behavior characteristics had important VIP value scores; eight of these reflected movement intensities (particularly moderate and vigorous intensities), six reflected movement patterns, and one reflected a movement type. For the most mature participants, thirteen of the 39 movement behavior characteristics had important VIP value scores, with five reflecting intensities (particularly moderate and vigorous intensities), five reflecting patterns, and three reflecting types of movement. Conclusion More than 12 movement behavior characteristics were associated with cardiometabolic risk factors within both the most and least mature participants. Movement intensities within the moderate and vigorous intensity ranges were the most consistent correlates of these risk factors., Graphical abstract Image, graphical 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 transportation was measured. Surprisingly, children living in neighborhoods in the highest neighborhood crime rate quartile engaged in significantly more active transportation than children living in neighborhoods in the lowest neighborhood crime rate quartile (16.4 versus 10.2 min/day, p

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 participating in these four types of physical activity. METHODS: Three hundred seventy-seven children aged 10–13 years from Kingston, Canada, were studied. Children wore an accelerometer and GPS watch for 7 days and recorded the start and end times of the school day, recess periods, and organized sport sessions on a log. These data were used to estimate time spent in the four types of physical activity and the movement intensity composition of these activities. RESULTS: Time spent in outdoor active play (36 min/day) and organized sport (40 min/day) was higher than that for active travel (17 min/day) and curriculum-based physical activity (26 min/day). With the exception of organized sport, values were higher for boys than for girls. Older children accumulated less outdoor active play and more active travel than younger children. The greatest proportion of light- and moderate-to-vigorous-intensity movement was attributed to outdoor active play. CONCLUSION: We used a primarily objective measurement approach to assess and describe the amount of time children aged 10–13 participate in four types of physical activity. These descriptive findings could be used to identify target areas for physical activity interventions and policies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.17269/s41997-018-0157-z) contains supplementary material, which is available to authorized users.

This cross-sectional study examined the independent and interactive associations between objective and perceived measures of neighborhood pedestrian traffic safety and outdoor active play. A total of 458 children aged 10–13 years from Kingston, Canada were studied in 2015–2016. Outdoor active play was measured over 7 days using data from activity logs, accelerometers, and Global Positioning System loggers. Geographic Information System data were collected within 1 km of participants' homes and used to create traffic volume, traffic calming, traffic speed, and pedestrian infrastructure indexes. Parents' perceptions of these pedestrian safety domains were obtained by questionnaire. Most of the pedestrian safety measures were not significantly associated with outdoor active play, and there were no interactions between the objective and perceived measures (p > 0.3). The significant relationships are listed here. Children whose parents perceived moderate or high traffic speeds in their neighborhood had outdoor active play values that were 0.35 (SE = 0.10, p = 0.021) and 0.20 (SE = 0.15, p = 0.048) SD units higher, respectively, then children whose parents perceived low traffic speed. By comparison to children from neighborhoods in the lowest tertile, children from the highest traffic volume tertile had higher outdoor active play levels (0.26, SE = 0.12, p = 0.029), while children from neighborhoods in the moderate traffic calming tertile (−0.28, SE = 0.11, p = 0.008) and the moderate pedestrian infrastructure tertile (−0.25, SE = 0.11, p = 0.023) had lower outdoor active play levels., Highlights • We determined if traffic safety was related to children's outdoor active play. • A cross-sectional study design was used. • Traffic safety was measured using subjectively and objectively. • Relationships between traffic safety and outdoor active play were inconsistent.

Background The purpose of this study was to investigate whether there is a bi-directional relationship between sleep characteristics (time in bed, sleep duration, sleep chronology, and sleep efficiency) and time spent participating in outdoor active play among children. Methods Participants consisted of 433 children aged 10–13 years from Kingston, ON, Canada. Time in bed, sleep duration, sleep chronology, and sleep efficiency were measured for 8 consecutive nights using data from a sleep log and Actical accelerometer. Outdoor active play was measured for the 7 days that fell in between these 8 nights using a combination of data from accelerometers, global positioning system loggers, and geographic information systems. Generalized estimating equation models were used to assess the relationships between sleep characteristics and outdoor active play. These models accounted for the repeated measures nested within participants and adjusted for several confounders (e.g., age, sex, family income, neighborhood traffic and green space). Results Time in bed, sleep duration, sleep chronology, and sleep efficiency were not significantly associated with the following day’s outdoor active play. There was a significant (p = 0.017) association between outdoor active play and the following night’s time in bed, which suggested that each hour increase in outdoor active play was associated with a 4.0 min increase in time in bed. Outdoor active play was not significantly associated with sleep duration, sleep chronology, or sleep efficiency. Conclusions None of the sleep characteristics predicted the following day’s outdoor active play. Increase time spent in outdoor active play predicted a longer time in bed, but not sleep duration, sleep chronology, or sleep efficiency.

Background: A limitation of accelerometer measures of moderate to vigorous physical activity (MVPA) is nonwear time. Nonwear-time data is typically deleted prior to estimating MVPA. In this study, we used an approach that used sociodemographic, health, and time data to guide the imputation of nonwear-time data. We determined whether imputing nonwear-time data influences estimates of MVPA and the association between MVPA, body mass index, and blood pressure. Methods: Seven days of accelerometer data were collected on 332 children aged 10–13 years. MVPA was estimated in a “nonimputed dataset,” wherein nonwear-time data were deleted prior to estimating MVPA, and in an “imputed dataset,” wherein nonwear-time data were imputed using sociodemographic and health characteristics of participants and time characteristics of the nonwear period prior to estimating MVPA. Results: Nonwear time represented 7% of waking hours. Average MVPA estimates did not differ in the nonimputed and imputed datasets (56.8 vs 58.4 min/d). The strength of the relationship between MVPA and the 2 health outcomes did not differ in the nonimputed and imputed datasets. Conclusions: Studies achieving high accelerometer wear-time compliance can obtain MVPA estimates without substantial bias if they use the traditional approach of deleting nonwear-time data.

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 1 type of physical activity 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 1 type of physical activity was replaced with equivalent time from another. The results indicated that time spent in all types of physical activity combined was associated with the cardiometabolic risk factor and internalizing symptom scores. Replacing active transportation with outdoor active play was associated with an increase in the internalizing symptoms score but a decrease in the cardiometabolic risk factor score. The internalizing symptoms score decreased when active transportation was replaced by equivalent time in organized sport. Other time substitutions were not significant. In conclusion, the total time spent participating in physical activity and not a specific type of physical activity was the most consistent correlate of the health indicators.

OBJECTIVE: To examine whether the number and type of electronic screens available in children’s bedrooms matter in their relationship to adiposity, physical activity and sleep. METHODS: A cross-sectional study was conducted involving 502 children aged 9-11 years from Ottawa, Ontario. The presence (yes/no) of a television (TV), computer or video game system in the child’s bedroom was reported by the parents. Percentage body fat was measured using bioelectrical impedance. An accelerometer was worn over seven days to assess moderate-to-vigorous physical activity (MVPA), total sedentary time, sleep duration and sleep efficiency. Screen time was self-reported by the child. RESULTS: After adjustment for age, sex, ethnicity, annual household income and highest level of parental education, children with 2-3 screens in their bedroom had a significantly higher percentage of body fat than children with no screen in their bedroom. However, while children with 2-3 screens in their bedroom engaged in more screen time overall than those with no screen, total sedentary time and MVPA were not significantly different. Sleep duration was not related to the number of screens in the bedroom, but sleep efficiency was significantly lower in children with at least 2 screens in the bedroom. Finally, children having only a TV in their bedroom had significantly higher adiposity than those having no screen at all. In contrast, the presence of a computer in children’s bedrooms was not associated with higher adiposity than that of children with no screen. CONCLUSIONS: A higher number of screens in a child’s bedroom was associated with higher adiposity, more total screen time and lower sleep efficiency. Having a TV in the bedroom appears to be the type of screen presence associated with higher levels of adiposity. Given the popularity of screens among children, these findings are increasingly relevant to health promotion strategies.

Accelerometry is the gold standard for field-based physical activity assessment in children; however, the plethora of devices, data reduction procedures, and cut-points available limits comparability between studies. This study aimed to compare physical activity variables from the ActiGraph GT3X+ and Actical accelerometers in children under free-living conditions. A cross-sectional study of 379 children aged 9-11 years from Ottawa (Canada) was conducted. Children wore the ActiGraph GT3X+ and Actical accelerometers on the hip simultaneously for 7 consecutive days (24-h protocol). Moderate-to-vigorous (MVPA), vigorous (VPA), moderate (MPA), and light (LPA) physical activity, as well as sedentary time, (SED) were derived using established data reduction protocols. Excellent agreement between devices was observed for MVPA (ICC = 0.73-0.80), with fair to good agreement for MPA, LPA and SED, and poor agreement for VPA. Bland-Altman plots showed excellent agreement for MVPA, LPA, and SED, adequate agreement for MPA, and poor agreement for VPA. MVPA derived from the Actical was 11.7% lower than the ActiGraph GT3X+. The ActiGraph GT3X+ and Actical are comparable for measuring children's MVPA. However, comparison between devices for VPA, MPA, LPA, and SED are highly dependent on data reduction procedures and cut-points, and should be interpreted with caution.

The purpose of this study was to examine the validity of the SC-StepMX pedometer for measuring step counts. A convenience sample of 40 participants wore 4 SC-StepMX pedometers, 2 Yamax DigiWalker pedometers, and 2 Actical accelerometers around their waist on a treadmill at 4 speeds based on each participant's self-paced walking speed (50%, 100%, 180%, and 250%; range: 1.4–14.1 km·h–1). The SC-StepMX demonstrated lower mean absolute percent error (–0.2%) compared with the Yamax DigiWalker (–20.5%) and the Actical (–26.1%). Mean measurement bias was lower for the SC-StepMX (0.1 ± 9.1; 95% confidence interval = –17.8 to 18.0 steps·min–1) when compared with both the Yamax DigiWalker (–15.9 ± 23.3; 95% confidence interval = –61.6 to 29.7 steps·min–1) and the Actical (–22.0 ± 36.3; 95% CI = –93.1 to 49.1 steps·min–1). This study demonstrates that the SC-StepMX pedometer is a valid tool for the measurement of step counts. The SC-StepMX accurately measures step counts at slower walking speeds when compared with 2 other commercially available activity monitors. This makes the SC-StepMX useful in measuring step counts in populations that are active at lower intensities (e.g., sedentary individuals, the elderly).

The link between television viewing and overweight and obesity in children has been reported for the first time in the literature approximately 3 decades ago. This relationship has been echoed in both cross-sectional and longitudinal studies throughout the past ~ 30 years. In some studies, screen time has been shown to be more strongly associated with obesity than moderate-to-vigorous physical activity (MVPA) .

The present article summarizes the results from the Active Healthy Kids Canada 2012 Report Card on Physical Activity for Children and Youth. The Report Card assessed the physical activity levels of Canadian children and youth nationally, and the initiatives of public and nongovernment sectors to promote and facilitate physical activity opportunities for children and youth in Canada. Based on a comprehensive collection of data that were analyzed and/or published in 2011, 24 indicators relating to physical activity were graded. The Physical Activity Levels indicator, the core indicator of the Report Card, was graded an 'F' for the sixth consecutive year. Although the majority of grades remained unchanged from the previous year, four grades improved and two worsened. These results suggest that few Canadian children and youth have sufficient physical activity levels, and that greater efforts are required across sectors to promote and facilitate physical activity opportunities for children and youth in Canada.Le présent article résume les résultats du bulletin de l’activité physique 2012 des enfants et des jeunes de Jeunes en forme Canada. Le bulletin évaluait le taux d’activité physique des enfants et des adolescents canadiens sur la scène nationale, de même que les initiatives des secteurs publics et non gouvernementaux pour promouvoir et favoriser les occasions d’activité physique chez les enfants et les adolescents du Canada. D’après une collecte complète des données analysées ou publiées en 2011, on a classé 24 indicateurs liés à l’activité physique. L’indicateur lié au niveau d’activité physique, le principal indicateur du bulletin, a obtenu une note de « F » pour la sixième année consécutive. Même si la majorité des notes n’a pas changé par rapport à l’année précédente, quatre se sont améliorées et deux ont empiré. Selon ces résultats, peu d’enfants et d’adolescents canadiens ont un niveau d’activité physique suffisant, et il faudra consentir plus d’efforts entre les secteurs pour promouvoir et favoriser les occasions d’activité physique pour les enfants et les adolescents du Canada.

Objective: To examine independent and combined associations among objectively measured movement/non-movement behaviors (moderate-to-vigorous-intensity physical activity (MVPA), total sedentary time and sleep duration) and adiposity indicators in a sample of Canadian children. Methods: A cross-sectional study was conducted on 507 children aged 9–11 years from Ottawa, Canada. Movement/non-movement behaviors were assessed using an Actigraph GT3X+ accelerometer over 7 days (24-h protocol). Outcomes included percentage body fat (bioelectrical impedance) and waist-to-height ratio. Results: After adjustment for age, sex, ethnicity, maturity offset, fast food consumption, annual household income and highest level of parental education, MVPA was inversely and sedentary time positively associated with adiposity indicators, whereas sleep duration was not. However, only MVPA remained significantly associated with adiposity indicators after additional adjustment for the other movement/non-movement behaviors. Combined associations using tertiles of the three movement/non-movement behaviors showed that higher levels of MVPA were associated with lower adiposity indicators, irrespective of total sedentary time and sleep duration. Conclusions: Higher levels of MVPA were associated with lower adiposity in this sample of children regardless of sedentary time and sleep duration. Although correlational in nature, these findings suggest that future efforts of obesity reduction should focus more on increasing MVPA than on reducing sedentary time or increasing sleep duration to maximize the effectiveness of interventions.

Background The purpose of this study was to determine the validity of the SC-StepRx pedometer to assess moderate and vigorous physical activity during treadmill walking and running in a heterogeneous sample of children and youth aged 10-17 years. Methods Physical activity intensity assessed via indirect calorimetry served as the criterion standard. A convenience sample of 40 participants (20 boys, 20 girls) wore 6 SC-StepRx pedometers, 2 ActiGraph GT3X accelerometers, 2 Actical accelerometers, 1 Walk4Life MVP pedometer and 1 NL-1000 pedometer while walking/running at speeds approximating 2, 3, 4, 6 and 7 METs. Associations between indirect calorimetry and each activity monitor were assessed using linear regression analyses in SAS 9.2. Results Estimates of moderate and vigorous physical activity from all monitors were significantly associated with the criterion standard of indirect calorimetry. The strongest associations with the criterion measure were observed for the SC-StepRx with moderate/vigorous thresholds of 110/130 steps•minute−1, and the NL-1000 (R2 = 0.82, p