Publications

Active transportation (AT), independent mobility (IM), and outdoor time are promising ways to increase children's physical activity. However, in order to create interventions to increase those forms of physical activity, it is important to understand the relationships between area-level socioeconomic status (SES) and type of urbanization with AT, IM, outdoor time, and physical activity, and this was the aim of the study.One thousand six hundred ninety-nine children in grades 4 to 6 (mean age: 10.2 ± 1.0 years) from three Canadian regions participated. AT, IM, and outdoor time were assessed using questionnaires and physical activity was measured using the SC-StepRX pedometer. Area-level SES was assessed using the median household income of the census tract in which the school was located and type of urbanization was determined for each school using standardized procedures. Generalized linear and general linear mixed models were used to examine the relationships.Area-level SES and the type of urbanization were generally not related to AT, IM, or physical activity for either gender. However, we observed that both boys and girls living in lower SES areas had decreased odds of spending > 2 h outdoors on weekend days compared to their peers from higher SES areas. Girls living in suburban or rural areas were more likely to spend > 2 h outdoors on weekdays compared to their urban counterparts.AT, IM, and physical activity are generally not associated with area-level SES or the type of urbanization in this sample of Canadian children. The finding regarding outdoor time showing that both boys and girls of lower SES areas had decreased odds of spending > 2 h outdoors on weekends compared to their peers from higher SES areas suggest that additional efforts should be implemented to offer outdoor play opportunities in lower SES areas.

The current investigation assessed the impact of active school transportation (AST) on average daily step counts, body mass index (BMI) and waist circumference in 315 children in Grades 4–6 who participated to Cycle 2 of the Canadian Assessment of Physical Literacy (CAPL) pilot testing. T-tests revealed a significant association between AST and lower BMI values (18.7 ± 3.3 vs. 19.9 ± 3.8 kg/m 2 ). The active commuters accumulated an average of 662 more steps per day, and their waist circumference was lower by an average of 3.1 cm, but these differences were not statistically significant. ANCOVA analyses controlling for age and step counts, found trends toward lower BMI and waist circumference values among the active commuters. These results suggest that AST may be a valid strategy to prevent childhood obesity; further research is needed to determine more precisely the impact of AST on body composition, and the direction of the relationship.

No abstract is provided for this article.

This study compares the bias in self-reported height, weight and body mass index (BMI) in the 2008 and 2005 Canadian Community Health Surveys and the 2007 to 2009 Canadian Health Measures Survey. The feasibility of using correction equations to adjust self-reported 2008 Canadian Community Health Survey values to more closely approximate measured values is assessed.Data are from the 2008 and 2005 Canadian Community Health Surveys and the 2007 to 2009 Canadian Health Measures Survey. In these surveys, respondents reported their height and weight, and were subsequently measured. Regression equations based on the 2007 to 2009 Canadian Health Measures Survey and the 2005 Canadian Community Health Survey were applied to self-reported 2008 Canadian Community Health Survey data. These equations predicted measured BMI based on self-reported BMI.The bias in reporting height was similar across all three surveys, but the bias in reporting weight was larger in the two Canadian Community Health Surveys, and as a result, discrepancies in estimates of obesity between self-reported and measured values were greater. Application of correction equations based on 2005 Canadian Community Health Survey data to self-reported values in the 2008 Canadian Community Health Survey produced more accurate estimates of obesity than did equations based on Canadian Health Measures Survey data.Survey context may influence the magnitude of the bias in self-reported weight. Respondents who are aware that they will be weighed may report their weight more accurately. Additional data points are required to determine whether the bias in self-reported measures in the Canadian Community Health Survey is changing.

Background : Historically, physical activity (PA) promotion campaigns have been evaluated with social cognitive approaches that are limited in explaining the PA intention–behavior gap and distinguishing between behavioral adoption and maintenance. The purpose of this research was to develop and test a simple classification that addresses PA intention–behavior translation and maintenance, using action control and dual-process theories with 4 items (PA intentions, behavior, habit, and identity). Methods : A classification was developed on one population (n = 1350) and tested on 2 PA campaign populations (n = 376 and n = 6396). The a priori criterion for success was for the resultant profiles to each account for ≥10% of the sample and collectively account for ≥85% of the sample. Results : The initial classification produced 4 profiles: (1) “nonintenders” (ie, low intentions, low PA, low habit, and low identity); (2) “unsuccessful adopters” (ie, high intentions, low PA, low habit, and low identity); (3) “successful adopters” (ie, high intentions, high PA, low habit, and low identity); and (4) “successful maintainers” (ie, high intentions, high PA, and high habit, or high identity); which collectively accounted for 87.6% of the sample. The 2 test samples revealed 2 profiles (“successful adopters” and “successful maintainers”) that accounted for 69.8% and 70.9% of the samples, respectively. Conclusions : The classification produced 4 profiles; however, only 2 profiles were revealed in the test samples. These differences may have been the result of the PA campaign populations being more inclined toward translating intentions and maintaining behavior. Future research should assess profile distributions across diverse campaign audiences.

The purposes of the current study were to identify risk profiles for nonadherence among children and youth (5-17 y) at the 6-month mark of the COVID-19 pandemic and to discuss similarities and differences between risk profiles identified in the current study and those identified at the 1-month mark of the pandemic.Data were part of a nationally representative sample of 1143 parents (Mage = 43.07 y, SD = 8.16) of children and youth (5-17 y) living in Canada. Survey data were collected in October 2020.Results showed that 3.8% met all movement behavior recommendations, 16.2% met the physical activity recommendation, 27% met the screen time recommendation, and 63.8% met the sleep recommendation. Characteristics associated with nonadherence to all movement behaviors included low parental perceived capability to restrict screen time and decreased overall time spent outdoors. Characteristics associated with nonadherence to the physical activity and screen time recommendations included youth (12-17 y), low parental perceived capability to restrict screen time, decreased time spent outdoors, and increased screen time.Results emphasized the importance of parental perceived capability to restrict screen time and children's and youth's outdoor time and showed that pandemic-related factors have impacted children and youth differently.

Background Active transportation (AT; e.g., walking and cycling) is increasingly promoted to increase youth physical activity (PA). Most previous research focused solely on school trips, and associations among AT and cardiovascular risk factors have seldom been examined in adolescents. Purpose To address these important research gaps using data from the nationally representative 2007–2009 Canadian Health Measures Survey. Methods A total of 1,016 adolescents aged 12–19 years reported their weekly time spent utilitarian walking and cycling, and wore an Actical accelerometer for 7 days. They underwent a series of physical tests (measures of fitness, body composition, blood pressure, and blood sampling) following standardized protocols. In 2013, differences in PA and health-related outcomes across levels of walking and cycling were assessed with ANCOVA analyses adjusted for age, gender, parental education, and usual daily PA. Results Greater walking and cycling time was associated with higher moderate-to-vigorous PA (MVPA). Compared to adolescents reporting walking 1–5 hours/week, those reporting <1 hour/week had lower waist circumference and total cholesterol/high-density lipoprotein (HDL) ratio and higher glycohemoglobin; those reporting >5 hours/week had better grip strength, lower total cholesterol, and total cholesterol/HDL ratio. Compared to adolescents reporting no cycling, those reporting ≥1 hour/week accumulated more light PA, had greater aerobic fitness, and lower BMI, waist circumference, and total cholesterol/HDL ratio; those who reported cycling <1 hour/week had lower total cholesterol. Conclusions Utilitarian walking and cycling were associated with higher daily MVPA in youth. Cycling was associated with a more consistent pattern of health benefits than walking.

The Global Matrix 4.0 on physical activity (PA) for children and adolescents was developed to achieve a comprehensive understanding of the global variation in children's and adolescents' (5-17 y) PA, related measures, and key sources of influence. The objectives of this article were (1) to summarize the findings from the Global Matrix 4.0 Report Cards, (2) to compare indicators across countries, and (3) to explore trends related to the Human Development Index and geo-cultural regions.A total of 57 Report Card teams followed a harmonized process to grade the 10 common PA indicators. An online survey was conducted to collect Report Card Leaders' top 3 priorities for each PA indicator and their opinions on how the COVID-19 pandemic impacted child and adolescent PA indicators in their country.Overall Physical Activity was the indicator with the lowest global average grade (D), while School and Community and Environment were the indicators with the highest global average grade (C+). An overview of the global situation in terms of surveillance and prevalence is provided for all 10 common PA indicators, followed by priorities and examples to support the development of strategies and policies internationally.The Global Matrix 4.0 represents the largest compilation of children's and adolescents' PA indicators to date. While variation in data sources informing the grades across countries was observed, this initiative highlighted low PA levels in children and adolescents globally. Measures to contain the COVID-19 pandemic, local/international conflicts, climate change, and economic change threaten to worsen this situation.

The Canadian Society for Exercise Physiology assembled a Consensus Panel representing national organizations, content experts, methodologists, stakeholders, and end-users and followed an established guideline development procedure to create the Canadian 24-Hour Movement Guidelines for Adults aged 18–64 years and Adults aged 65 years or older: An Integration of Physical Activity, Sedentary Behaviour, and Sleep. These guidelines underscore the importance of movement behaviours across the whole 24-h day. The development process followed the strategy outlined in the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument. A large body of evidence was used to inform the guidelines including 2 de novo systematic reviews and 4 overviews of reviews examining the relationships among movement behaviours (physical activity, sedentary behaviour, sleep, and all behaviours together) and several health outcomes. Draft guideline recommendations were discussed at a 4-day in-person Consensus Panel meeting. Feedback from stakeholders was obtained by survey (n = 877) and the draft guidelines were revised accordingly. The final guidelines provide evidence-based recommendations for a healthy day (24-h), comprising a combination of sleep, sedentary behaviours, and light-intensity and moderate-to-vigorous-intensity physical activity. Dissemination and implementation efforts with corresponding evaluation plans are in place to help ensure that guideline awareness and use are optimized. Novelty First ever 24-Hour Movement Guidelines for Adults aged 18–64 years and Adults aged 65 years or older with consideration of a balanced approach to physical activity, sedentary behaviour, and sleep Finalizes the suite of 24-Hour Movement Guidelines for Canadians across the lifespan

In order to verify if the full moon is associated with sleep and activity behaviors, we used a 12-country study providing 33,710 24-h accelerometer recordings of sleep and activity. The present observational, cross-sectional study included 5812 children ages 9-11 years from study sites that represented all inhabited continents and wide ranges of human development (Australia, Brazil, Canada, China, Colombia, Finland, India, Kenya, Portugal, South Africa, United Kingdom, and United States). Three moon phases were used in this analysis: full moon (±4 days; reference), half moon (±5-9 days), and new moon (±10-14 days) from nearest full moon. Nocturnal sleep duration, moderate-to-vigorous physical activity (MVPA), light-intensity physical activity (LPA), and total sedentary time (SED) were monitored over seven consecutive days using a waist-worn accelerometer worn 24 h a day. Only sleep duration was found to significantly differ between moon phases (~5 min/night shorter during full moon compared to new moon). Differences in MVPA, LPA, and SED between moon phases were negligible and non-significant (<2 min/day difference). There was no difference in the associations between study sites. In conclusion, sleep duration was 1% shorter at full moon compared to new moon, while activity behaviors were not significantly associated with the lunar cycle in this global sample of children. Whether this seemingly minimal difference is clinically meaningful is questionable.