Results from the Scottish report card on physical activity for children and youth

The Active Healthy Kids Scotland Report Card aims to consolidate existing evidence, facilitate international comparisons, encourage more evidence-informed physical activity and health policy, and improve surveillance of physical activity. Application of the Active Healthy Kids Canada Report Card process and methodology to Scotland, adapted to Scottish circumstances and availability of data. The Active Healthy Kids Scotland Report Card 2013 consists of indicators of 7 Health Behaviors and Outcomes and 3 Influences on Health Behaviors and Outcomes. Grades of F were assigned to Overall Physical Activity, Sedentary Behavior (recreational screen time), and Obesity Prevalence. A C was assigned to Active Transportation and a D- was assigned to Diet. Two indicators, Active and Outdoor Play and Organized Sport Participation, could not be graded. Among the Influences, Family Influence received a D, while Perceived Safety, Access, and Availability of Spaces for Physical Activity and the National Policy Environment graded more favorably with a B. The Active Healthy Kids Canada process and methodology was readily generalizable to Scotland. The report card illustrated low habitual physical activity and extremely high levels of screen-based sedentary behavior, and highlighted several opportunities for improved physical activity surveillance and promotion strategies

Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses

The purpose of this study was to examine the relationships between movement behaviours (sleep duration, sedentary time, physical activity) and health indicators in a representative sample of children and youth using compositional analyses. Cross-sectional findings are based on 4169 children and youth (aged 6–17 years) from cycles 1 to 3 of the Canadian Health Measures Survey. Sedentary time (SB), light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Sleep duration was subjectively measured. Body mass index z scores, waist circumference, blood pressure, behavioural strengths and difficulties, and aerobic fitness were measured in the full sample. Triglycerides, high-density lipoprotein-cholesterol, C-reactive protein, and insulin were measured in a fasting subsample. The composition of movement behaviours was entered into linear regression models via an isometric log ratio transformation and was found to be associated with all health indicators (p &lt; 0.01). Relative to other movement behaviours, time spent in SB or LPA was positively associated (p &lt; 0.04) and time spent in MVPA or sleep was negatively associated (p &lt; 0.02) with obesity risk markers. Similarly, LPA was positively associated (p &lt; 0.005) and sleep was negatively associated (p &lt; 0.03) with unfavourable behavioural strengths and difficulties scores and systolic blood pressure. Relative to other movement behaviours, time spent in SB was negatively associated (p &lt; 0.001) and time spent in MVPA (p &lt; 0.001) was positively associated with aerobic fitness. Likewise, MVPA was also negatively associated with several cardiometabolic risk markers (p &lt; 0.008). Compositional data analyses provide novel insights into collective health implications of 24-h movement behaviours and can facilitate interesting avenues for future investigations. </jats:p

Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the United States

Introduction : Compositional data analysis is one appropriate method for co-dependent data, even when data are collected for a subdivision of the 24-hour period, such as the waking day. Objectives were to use compositional analyses to examine the combined and relative associations of sedentary time (ST), light-intensity physical activity (LPA), moderate-intensity physical activity (MPA), and vigorous-intensity physical activity (VPA) with cardiometabolic biomarkers in a representative sample of children and youth. Methods : This cross-sectional study included 2544 participants aged 6-17 years from the 2003-2006 United States National Health and Nutrition Examination Survey. ST (= 7 METs) were accelerometer-derived. Cardiometabolic biomarkers included waist circumference, body mass index (BMI) z-score, HDL-cholesterol, C-reactive protein, and blood pressure. Triglycerides, glucose, insulin, and LDL-cholesterol were measured in a fasting sub-sample of adolescents (n = 670). Compositional linear regression models were conducted. Results : The composition of ST, LPA, MPA, and VPA was significantly associated with BMI z-score, log waist circumference, systolic and diastolic blood pressure, HDL-cholesterol, and log plasma glucose (variance explained: 1-29%). Relative to the other three behaviors, VPA was negatively associated with BMI z-score (gamma VPA = -0.206, p = 0.005) and waist circumference (gamma VPA = -0.03, p = 0.001). Conversely, ST was positively associated with waist circumference (gamma ST = 0.029, p = 0.013). ST and VPA were also positively associated with diastolic blood pressure (gamma ST = 2.700, p = 0.018; gamma VPA = 1.246, p = 0.038), relative to the other behaviors, whereas negative associations were observed for LPA (gamma LPA = -2.892, p = 0.026). Finally, VPA was positively associated with HDL-cholesterol, relative to other behaviors (gamma VPA = 0.058, p<0.001). Conclusions : The ST and physical activity composition appears important for many aspects of cardiometabolic health in children and youth. Compositions with more time in higher-intensity activities may be better for some aspects of cardiometabolic health

Correlates of Active School Transport Immediately Before and After the Transition from Primary to Secondary School: A Pilot-Study

The transition from primary to secondary school is a major life event associated with large decreases in physical activity levels. Cross-sectional studies also suggest that secondary school students are less likely to engage in active school transport (AST; e.g. walking and cycling to/from school). To our knowledge, no longitudinal study has previously examined the correlates of AST immediately before and after the school transition. This pilot-study assessed: 1) the concordance between child- and parent-perceived barriers to AST (with Spearman correlations); 2) the associations of AST with child- and parent-perceived barriers to AST, parental neighborhood selection factors and socio-demographic characteristics (using Fisher’s exact test). Participants were recruited in four K-6 schools (where children are required to change school after grade 6) located in census tracts with varying population density in Ottawa (Canada). All assessments were done at baseline and follow-up with respectively 49 and 29 participants. Substantial concordance was found between child- and parent-perceived barriers to AST at baseline, but not at follow-up; this might reflect the novelty of the route and the secondary school environment. Distance between home and school was the strongest barrier to AST while road safety concerns and the perception of having too much stuff to carry were also important barriers to AST. Children were more likely to engage in AST when their parents reported that they chose their neighborhood so that their children could easily walk or bike to school; thus future studies should take parental neighborhood selection into account. These findings should contribute to inform future research informing the development of policies and interventions to promote AST

ParticipACTION: Overview and introduction of baseline research on the "new" ParticipACTION

<p>Abstract</p> <p>Background</p> <p>This paper provides a brief overview of the Canadian physical activity communications and social marketing organization "ParticipACTION"; introduces the "new" ParticipACTION; describes the research process leading to the collection of baseline data on the new ParticipACTION; and outlines the accompanying series of papers in the supplement presenting the detailed baseline data.</p> <p>Methods</p> <p>Information on ParticipACTION was gathered from close personal involvement with the organization, from interviews and meetings with key leaders of the organization, from published literature and from ParticipACTION archives. In 2001, after nearly 30 years of operation, ParticipACTION ceased operations because of inadequate funding. In February 2007 the organization was officially resurrected and the launch of the first mass media campaign of the "new" ParticipACTION occurred in October 2007. The six-year absence of ParticipACTION, or any equivalent substitute, provided a unique opportunity to examine the impact of a national physical activity social marketing organization on important individual and organizational level indicators of success. A rapid response research team was established in January 2007 to exploit this natural intervention research opportunity.</p> <p>Results</p> <p>The research team was successful in obtaining funding through the new Canadian Institutes of Health Research Intervention Research (Healthy Living and Chronic Disease Prevention) Funding Program. Data were collected on individuals and organizations prior to the complete implementation of the first mass media campaign of the new ParticipACTION.</p> <p>Conclusion</p> <p>Rapid response research and funding mechanisms facilitated the collection of baseline information on the new ParticipACTION. These data will allow for comprehensive assessments of future initiatives of ParticipACTION.</p

Cross-sectional associations between sleep duration, sedentary time, physical activity, and adiposity indicators among Canadian preschool-aged children using compositional analyses

Abstract Background Sleep duration, sedentary behaviour, and physical activity are three co-dependent behaviours that fall on the movement/non-movement intensity continuum. Compositional data analyses provide an appropriate method for analyzing the association between co-dependent movement behaviour data and health indicators. The objectives of this study were to examine: (1) the combined associations of the composition of time spent in sleep, sedentary behaviour, light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) with adiposity indicators; and (2) the association of the time spent in sleep, sedentary behaviour, LPA, or MVPA with adiposity indicators relative to the time spent in the other behaviours in a representative sample of Canadian preschool-aged children. Methods Participants were 552 children aged 3 to 4 years from cycles 2 and 3 of the Canadian Health Measures Survey. Sedentary time, LPA, and MVPA were measured with Actical accelerometers (Philips Respironics, Bend, OR USA), and sleep duration was parental reported. Adiposity indicators included waist circumference (WC) and body mass index (BMI) z-scores based on World Health Organization growth standards. Compositional data analyses were used to examine the cross-sectional associations. Results The composition of movement behaviours was significantly associated with BMI z-scores (p = 0.006) but not with WC (p = 0.718). Further, the time spent in sleep (BMI z-score: γ sleep  = −0.72; p = 0.138; WC: γ sleep  = −1.95; p = 0.285), sedentary behaviour (BMI z-score: γ SB  = 0.19; p = 0.624; WC: γ SB  = 0.87; p = 0.614), LPA (BMI z-score: γ LPA  = 0.62; p = 0.213, WC: γ LPA  = 0.23; p = 0.902), or MVPA (BMI z-score: γ MVPA  = −0.09; p = 0.733, WC: γ MVPA  = 0.08; p = 0.288) relative to the other behaviours was not significantly associated with the adiposity indicators. Conclusions This study is the first to use compositional analyses when examining associations of co-dependent sleep duration, sedentary time, and physical activity behaviours with adiposity indicators in preschool-aged children. The overall composition of movement behaviours appears important for healthy BMI z-scores in preschool-aged children. Future research is needed to determine the optimal movement behaviour composition that should be promoted in this age group

Trajectories of Childhood Weight Gain: The Relative Importance of Local Environment versus Individual Social and Early Life Factors

Objective: To determine the association between local environmental factors with child weight status in a longitudinal study, using a semi-parametric, group-based method, while also considering social and early life factors. Methods: Standardized, directly measured BMI from 4-10 y of age, and group-based trajectory modeling (PROC TRAJ) were used to estimate developmental trajectories of weight change in a Québec birth cohort (n = 1,566). Associations between the weight trajectories and living location, social cohesion, disorder, and material and social deprivation were estimated after controlling for social and early life factors. Results: Four weight trajectory groups were estimated: low-increasing (9.7%); low-medium, accelerating (36.2%); medium-high, increasing (43.0%); and high-stable (11.1%). In the low-increasing and medium-high trajectory groups, living in a semi-urban area was inversely related to weight, while living in a rural area was positively related to weight in the high-stable group. Disorder was inversely related to weight in the low-increasing group only. Other important risk factors for high-stable weight included obesity status of the mother, smoking during pregnancy, and overeating behaviors. Conclusions: In this study, associations between local environment factors and weight differed by trajectory group. Early life factors appear to play a more consistent role in weight status. Further work is needed to determine the influence of place on child weight. © 2012 Carter et al

Examining the Potential Disconnect Between Parents’ Perceptions and Reality Regarding the Physical Activity Levels of Their Children

Background: Parental support plays an important role in facilitating the participation of children in physical activity. However, there is evidence that parents overestimate their child’s level of physical activity – this may lead to inaction in promotion attempts by parents. This potential disconnect between parental perceptions and reality was recently the focus of the ‘Think Again’ social marketing campaign developed by PartipACTION. Purpose: To qualitatively explore parents’ perceptions of the Think Again advertisements, and the possible disconnect between perceptions and reality regarding their children’s physical activity levels. Method: Semi-structured interviews were conducted with 12 mothers and 12 fathers of children aged 5-11 years attending a supervised recreation class. A thematic analysis was applied to the collected data. Results: The advertisements were generally well received by the parents in serving as a reminder of how much physical activity their children should be getting. Less than half of parents believed their children were attaining physical activity guidelines although the majority believed they were sufficiently active given perceived time constraints for both them and their child. Most parents believed they could accurately estimate how active their child was but that other parents may have difficulty due to reliance on schools and organized recreation to provide opportunities for physical activity. Conclusion: PSAs have a role to play in increasing parental awareness of physical activity guidelines and communicating the importance of physical activity. More creative approaches will be needed to address the disconnect in the perceptions between sufficient and recommended levels of physical activity

Clustering of children's activity behaviour: the use of self-report versus direct measures

While we concur with the objectives of the recent International Journal of Behavioural Nutrition and Physical Activity paper published by Jago and colleagues titled "Physical activity and sedentary behaviour typologies of 10-11 year olds", we feel that the results as currently presented do not support their conclusions. Though the authors created groups of children with dramatically different patterns of self-reported physical activity and sedentary behaviour, an inspection of the objectively measured accelerometry data shows little difference between the groups. Further, in at least one instance the difference between groups was of the opposite direction when using objective measures, as opposed to the self-report measures used in the published analysis. Thus, we caution the authors from making conclusions based on their self-report data, and propose that they re-analyze their data using their objectively measured data instead