School day segmented physical activity patterns of high and low active children

Inequality in Physical Activity in Organized Group Settings for Children: A Cross-Sectional Study

BACKGROUND

Adult-led organized settings for children (eg, classrooms) provide opportunities for physical activity (PA). The structure of setting time may influence inequalities (ie, unequalness) in the distribution of PA. This study examined differences in PA inequality by setting and time-segment purpose in time-segmented organized group settings for children.

METHODS

PA and setting meetings were assessed using accelerometer and video observation data from school, before-/after-school, and youth club groups (n = 30) for third- through sixth-grade children (n = 699) in 2 rural US communities. Meetings (n = 130) were time-segmented into smaller units (sessions; n = 835). Each session was assigned a purpose code (eg, PA). Accelerometer data were paired with the meetings and sessions, and the Gini coefficient quantified inequality in activity counts and moderate to vigorous PA minutes for each segment. Beta generalized estimating equations examined differences in PA inequality by setting and session purpose.

RESULTS

Activity count inequality was lowest (P < .05) during youth club meetings (Gini = 0.17, 95% CI, 0.14-0.20), and inequality in moderate to vigorous PA minutes was greatest (P < .01) during school (Gini = 0.34, 95% CI, 0.30-0.38). Organized PA sessions (Gini = 0.20, 95% CI, 0.17-0.23) had lower activity count inequality (P < .0001) than academic (Gini = 0.30, 95% CI, 0.27-0.34), enrichment (Gini = 0.31, 95% CI, 0.27-0.36), and nonactive recreation (Gini = 0.30, 95% CI, 0.25-0.34) sessions. Inequality in moderate to vigorous PA minutes was lower (P < .05) in organized PA (Gini = 0.26, 95% CI, 0.20-0.32) and free play (Gini = 0.28, 95% CI, 0.19-0.39) than other sessions.

CONCLUSIONS

PA inequality differed by setting time structure, with lower inequality during organized PA sessions. The Gini coefficient can illuminate PA inequalities in organized settings and may inform population PA improvement efforts in rural communities.

School-level intra-cluster correlation coefficients and autocorrelations for children's accelerometer-measured physical activity in England by age and gender

BACKGROUND

Randomised, cluster-based study designs in schools are commonly used to evaluate children's physical activity interventions. Sample size estimation relies on accurate estimation of the intra-cluster correlation coefficient (ICC), but published estimates, especially using accelerometry-measured physical activity, are few and vary depending on physical activity outcome and participant age. Less commonly-used cluster-based designs, such as stepped wedge designs, also need to account for correlations over time, e.g. cluster autocorrelation (CAC) and individual autocorrelation (IAC), but no estimates are currently available. This paper estimates the school-level ICC, CAC and IAC for England children's accelerometer-measured physical activity outcomes by age group and gender, to inform the design of future school-based cluster trials.

METHODS

Data were pooled from seven large English datasets of accelerometer-measured physical activity data between 2002-18 (> 13,500 pupils, 540 primary and secondary schools). Linear mixed effect models estimated ICCs for weekday and whole week for minutes spent in moderate-to-vigorous physical activity (MVPA) and being sedentary for different age groups, stratified by gender. The CAC (1,252 schools) and IAC (34,923 pupils) were estimated by length of follow-up from pooled longitudinal data.

RESULTS

School-level ICCs for weekday MVPA were higher in primary schools (from 0.07 (95% CI: 0.05, 0.10) to 0.08 (95% CI: 0.06, 0.11)) compared to secondary (from 0.04 (95% CI: 0.03, 0.07) to (95% CI: 0.04, 0.10)). Girls' ICCs were similar for primary and secondary schools, but boys' were lower in secondary. For all ages, combined the CAC was 0.60 (95% CI: 0.44-0.72), and the IAC was 0.46 (95% CI: 0.42-0.49), irrespective of follow-up time. Estimates were higher for MVPA vs sedentary time, and for weekdays vs the whole week.

CONCLUSIONS

Adequately powered studies are important to evidence effective physical activity strategies. Our estimates of the ICC, CAC and IAC may be used to plan future school-based physical activity evaluations and were fairly consistent across a range of ages and settings, suggesting that results may be applied to other high income countries with similar school physical activity provision. It is important to use estimates appropriate to the study design, and that match the intended study population as closely as possible.

Before-school physical activity levels and sociodemographic correlates among Australian adolescents: A cross-sectional study

Understanding adolescents' physical activity levels and underpinning contextual factors is crucial for health promotion. This cross-sectional study, using 24-hour time use diaries and sociodemographic variables from the Longitudinal Study of Australian Children, addressed gaps in understanding of physical activity in the before-school segment (the time between waking up and commencing classes). The study examined a) adolescents' time spent in before-school physical activity, focusing on location and shared presence, and b) sociodemographic correlates of before-school physical activity. Completed diaries by 12-13 year-olds (n = 3,201) revealed that adolescents reported an average of 10.8 minutes of daily before-school physical activity (average segment length: 114 min), mostly classified as active transport (5.7 min). Most before-school physical activity occurred in a location other than home or school (6.1 min) and with peers (6.1 min). Notably, 51% of boys and 60% of girls did not report any before-school physical activity. Through two-part regression, we found that boys, adolescents from single-parent households, and those with longer before-school segments are more likely to report before-school physical activity compared to their counterparts. Before-school initiatives should promote active transport and diverse opportunities in other settings. Research into barriers and facilitators may inform more inclusive and effective promotion strategies, including school-based initiatives.

Total and temporal patterning of physical activity in adolescents and associations with mental wellbeing

BACKGROUND

There is limited understanding of the extent to which differences in physical activity across the day and week may be associated with mental wellbeing. Such an understanding is needed for better targeting of interventions. In this study, we describe total and temporal patterning of physical activity across the week in adolescents (age 13-14y) and assess their prospective associations with mental wellbeing.

METHODS

1,983 13-14-year-old adolescent participants based in Cambridgeshire and Essex, recruited between 2016 and 2017 into the Get Others Active Trial provided data at baseline and 4 months. Physical activity was measured at baseline using wrist-worn accelerometers across different time segments (whole week, weekday schooltime, weekday out of school, and weekend), and operationalized as average movement-related acceleration for each time segment. Mental Wellbeing at baseline and 4 months was measured using the Warwick Edinburgh MentalWellbeing Scale. Associations between physical activity across different time segments (whole week, weekday schooltime, weekday out of school, and weekend) and mental wellbeing at 4 months were investigated using sex-stratified multi-level regression models, adjusted for covariates, and both adjusted and unadjusted for baseline mental wellbeing.

RESULTS

Our analyses found positive associations between physical activity and mental wellbeing at 4 months, unadjusted for baseline wellbeing. Among girls, positive associations were shown when considering physical activity across the whole week 0.07 (95% CI, 0.03-0.12), and across all separate time periods studied: weekday schooltime 0.07 (95% CI, 0.02-0.11), weekday out-of-school time 0.07 (95% CI, 0.03-0.12), and weekend 0.07 (95% CI, 0.02-0.11). For boys, similar associations were observed for activity across the week 0.07 (95% CI, 0.03-0.11), during weekday schooltime 0.08 (95% CI, 0.04-0.12), and weekday out-of-school time 0.07 (95% CI, 0.03-0.11), but not the weekend 0.01 (95% CI, -0.03-0.05). For both girls and boys, associations were attenuated below significance after adjusting for baseline wellbeing.

CONCLUSIONS

This longitudinal analysis showed positive associations between physical activity and later mental wellbeing in both male and female adolescents across most time segments. Higher physical activity throughout the week may be associated with better mental wellbeing in the adolescent population. Further research is required to understand determinants of change in wellbeing over time.

TRIAL REGISTRATION

Registration Number: ISRCTN31583496. Registered: 18/02/2014.

Children's physical activity and sedentary behaviour in before school care: An observational study

OBJECTIVE

In Australia, less than one quarter of children aged 5-12 years meet national physical activity (PA) guidelines. Before school care operates as part of Out of School Hours Care (OSHC) services and provide opportunities for children to meet their daily PA recommendations. The aim of this study was to explore factors associated with children meeting 15 min of moderate-to-vigorous-intensity physical activity (MVPA) while attending before school care.

METHODS

A cross-sectional study was conducted in 25 services in New South Wales, Australia. Each service was visited twice between March and June 2021. Staff behaviours and PA type and context were captured using staff interviews and the validated System for Observing Staff Promotion of Physical Activity and Nutrition (SOSPAN) time sampling tool. Child PA data were collected using Actigraph accelerometers and associations between program practices and child MVPA analysed.

RESULTS

PA data were analysed for 654 children who spent an average of 39.2% (±17.6) of their time sedentary; 45.4% (±11.4) in light PA; and 14.9% (±11.7) in MVPA. Only 17% of children (n = 112) reached ≥15 min MVPA, with boys more likely to achieve this. Children were more likely to meet this recommendation in services where staff promoted and engaged in PA; PA equipment was available; children were observed in child-led free play; and a written PA policy existed.

CONCLUSIONS

Before school care should be supported to improve physical activity promotion practices by offering staff professional development and guidance on PA policy development and implementation practices.

Associations between the built environment, policies and curriculum in schools and primary school children’s physical activity

Background: A large proportion of children in the UK do not engage in the recommended amount of physical activity. Schools are an environment where children spend a considerable portion of their time and have the potential to facilitate more physical activity. There has been little exploration of the specific school environment factors that are most pertinent to child physical activity and sedentary behaviour. This study was intended to fill this important gap. Methods: Data were collected between March 2017 and May 2018 from 50 schools and 1223 children who participated in the B-Proact1v cohort study. School level measures were the built environment (e.g. playground equipment, cycling parking, allotments), physical activity-related policies (e.g. policy to encourage active travel) and the use of physical activity in the curriculum (e.g. regular physical activity breaks throughout day). Children’s weekday moderate-to-vigorous physical activity (MVPA) was estimated via Actigraph GT3X accelerometers. Associations between school context measures and children’s weekday MVPA were analysed using linear multilevel models, with children nested within schools, adjusted for individual characteristics. Results: On average, children at schools with allotments, a larger amount of playground equipment and where cycle training was offered, engaged in higher levels of MVPA. PE being compromised due to space was associated with lower levels of MVPA. Conclusions: Whilst there is a need for further exploration, the findings suggest that school-based provision and policies for active travel, sport and active play may be important to encouraging more primary school children to be more active more regularly.

The Impact of Physical Activity at School on Body Fat Content in School-Aged Children

(1) Background: Excessive amounts of adipose tissue is a health risk. The aim of this study was to assess the impact of increased physical activity (PA) at school on body fat content in children aged 10 to 12 years over a 2-year follow-up. (2) Methods: Children born in 2007 (n = 245) in two groups, (1) standard PA and (2) increased PA at school, 4 and 10 h of physical education lessons per week, respectively. BIA measurements of body fat content were taken twice a year. Results were interpreted based on children's fat content reference curves. (3) Results: During 2 years of observation, the percentage of children with excessive fat mass (overweight and obese) increased by one-third (from 28.11% to 39.67%) in the group of standard PA, while decreased by one-third in the increased PA one (from 28.92% to 21.00%); with normal fat content increased by one-quarter in the increased PA group (from 59.86% to 76.26%) and decreased by one-tenth in the standard PA one (from 61.61% to 56.29%). (4) Conclusions: An increase in PA at school has a positive impact on children's body fat content. It is recommended to increase the number of physical education lessons at school, which has a positive effect on children's health, reducing the risk of obesity.

Physical activity during recess in elementary schoolchildren in Belgium and Ecuador: The role of the physical environment at school

To increase physical activity levels in children, knowledge on how school playgrounds can be optimally designed is important. Until now, the contribution of playground variety and greening to children's physical activity level during recess remains unclear. This study examined the associations of school playground variety and greening with energy expenditure (EE) in elementary school children in Ecuador and Belgium. Additionally, moderating effects of study site and gender were studied. Observational data were collected using SOPLAY in ten schools in East Flanders (Belgium) and Cuenca (Ecuador). Data were analysed with linear mixed-effects model analyses. Results showed that independent of study site, EE was higher in playground areas with less green elements, and a higher level of total variety. Primary surface was only associated with EE in boys, they were more active when an artificial surface was present. Implementation of loose equipment was somewhat more strongly positively associated with EE in Ecuadorian than in Belgian children. Because of the well-known restorative effects of green elements, we do not wish to suggest that less greening should be implemented at schools. However, ideally green spaces should be designed in a way that active play is stimulated by combining green elements with other improvements.

Effects of a Hybrid Program of Active Breaks and Responsibility on the Behaviour of Primary Students: A Mixed Methods Study

Schools are ideal environments to promote healthy lifestyles and teach values among students. In this sense, the present study aims to verify the result of an Active Break program (AB) within the Teaching Personal and Social Responsibility (TPSR) Model in the school environment. The sample consisted of two teachers/tutors from the sixth year of Primary Education and 51 pupils, aged between 11 and 13 years, who were divided into an experimental group (n = 26) and a control group (n = 25). The intervention program lasted 3 months, in which the hybridised methodology was applied during 100% of the weekly classes, computing a total of 156 sessions by the end of the study. It was a quasi-experimental study design that used a mixed methodology combining a systematic observational analysis with semi-structured interviews. The results showed an evolution in the behaviour of the teacher from the experimental group from a controlling style to one centred on the transfer of autonomy, while the teacher from the control group primarily used strategies based on the imposition of tasks and the establishment of organisation, which caused an increase in disruptive behaviours among students. We conclude that the program is adaptable to Primary Education and can be extended to any educational environment to improve the classroom climate and attract the attention of students and, finally, allows for the promotion of new teaching strategies.

Associations between socioeconomic position and young people's physical activity and sedentary behaviour in the UK: a scoping review

OBJECTIVE

To examine the evidence on the associations between socioeconomic position and young people's physical activity and sedentary behaviours in the UK.

DESIGN

Scoping review.

DATA SOURCES

PubMed, SCOPUS and Web of Science databases were searched for articles published up to and including January 2021.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Observational studies in children and adolescents (aged 5-18 years) from the UK that had assessed associations between at least one indicator of socioeconomic position and at least one outcome of physical activity and/or sedentary behaviour.

DATA EXTRACTION AND SYNTHESIS

Data were extracted by one reviewer and 20% were double checked. Indicators of socioeconomic position were tabulated with domains of physical activity and sedentary behaviour.

RESULTS

Fifty-seven publications were included in the review; 37 publications from 19 studies (k=23) of children and 21 publications from 15 studies (k=23) of adolescents. Most studies were cross-sectional. 63% of studies of children, and 40% of studies of adolescents assessed Index of Multiple Deprivation. Eighteen studies measured physical activity in children, 13 measured sedentary behaviour. Eleven studies of adolescents included a measure of physical activity, 10 included a measure of sedentary behaviour. Among children and adolescents, the association between socioeconomic position and measures of either physical activity or sedentary behaviour was highly variable depending on the measure of both socioeconomic position used and the behavioural outcome, with the exception of higher family affluence which was consistently associated with higher reported physical activity among adolescents.

CONCLUSION

Physical activity and sedentary behaviours of children and adolescents in the UK are complex and influenced by multiple indicators of socioeconomic position that are, in most cases, different across age stages, outcomes examined and measurement tools. Greater consistency in the use and measures of socioeconomic position as well as outcomes of behaviour are required for robust country-specific meta-analyses.

Impact of weekdays versus weekend days on accelerometer measured physical behavior among children and adolescents: results from the MoMo study

Structured activities, in which children participate for example at school, are consistent and limited in scope. After-school or weekend activities, by contrast, involve a wider range of behaviors. Studies have shown that physical activity (PA), as measured by accelerometers, is lower on weekends compared to weekdays or school days, whereas PA does not differ between weekdays. In the present study, we examined accelerometer data of children and adolescents living in Germany for the different weekdays and weekend days. The current analysis used cross-sectional data of participants (n = 2743) aged 6–17 years collected between 2014 and 2017. The final valid sample consisted of 2278 children and adolescents divided into three age groups (6–10 years, n = 713; 11–13 years, n = 706; 14–17 years, n = 859) and two gender groups (1072 boys, 1206 girls). Physical behavior, including sedentary behavior, as well as light, moderate, vigorous PA, and wear time were analyzed. Absolute and percentage intensity distributions were evaluated daily. The average wear time was 807 min daily from Monday–Thursday with significant deviations from the mean on Friday (+38 min), Saturday (−76 min), and Sunday (−141 min). Absolute moderate to vigorous PA times were lower on weekends than during the week. However, the percentage intensity distribution remained constant over all days. Girls were less physically active and more sedentary than boys (F1,2272 = 38.3; p < 0.01) and adolescents were significantly less active than younger children (F2,2272 = 138.6; p < 0.01). Waking times increased with age (F2,2272 = 138.6; p < 0.01). Shorter awake periods limit possible active times on weekends, resulting in lower PA and sedentary behavior compared to weekdays. The percentage distributions of the different physical behavior intensity categories are similar over all weekdays and weekend days. We could not find a justification for specific weekend interventions. Instead, interventions should generally try to shift activity away from sedentary behavior towards a more active lifestyle.

Physical activity levels of children and adolescents with intellectual disabilities in Northern China

BACKGROUND

Limited research has looked at the physical activity (PA) among Chinese children and adolescents with intellectual disabilities.

METHODS

The Children's Leisure Activities Study Survey-Chinese version was applied in evaluating PA levels among children and adolescents with intellectual disabilities.

RESULTS

The data indicated that only 29.5% of children and adolescents with intellectual disabilities met the PA recommendation. Boys engaged in significantly more MVPA and had higher energy expenditure than girls during weekdays and the whole week. The general trend in PA levels demonstrated a downtrend with the growth of age of children and adolescents with intellectual disabilities. The students aged 6-12 years old performed more MVPA and had greater energy expenditure compared with those 13-15 and 16-18 years old.

CONCLUSION

The level of PA among Chinese children and youths with intellectual disabilities is remarkably low, and there is a large gap compared with the PA recommendation.

The Immediate and Lasting Effects of Resident Summer Camp on Movement Behaviors Among Children

This study aims to examine the immediate and lasting effects of resident summer camp on movement behaviors among children with repeated pre-, during-, and post-intervention measurements. In total, 21 children (aged 10.3 ± 1.2 years, 17 boys and 4 girls) participated in a 31-day nature-based resident summer camp in Japan. Daily children's movement behaviors (moderate-to-vigorous physical activity (MVPA), sedentary behavior (SB), and sleep) were continuously monitored before, during, and after the summer camp (i.e., 75 continuous days). It was found that the children engaged more time in MVPA (9.6%), less time in SB (58.0%), had more steps (22,405 steps/day), and an earlier midpoint of sleep (0:24 a.m.) in the summer camp as compared to the other periods (before and after the camp). However, the children engaged in unfavorable behaviors [reduction in MVPA (3.6%), increased SB (67.3%), and a later midpoint of sleep (1:32 a.m.)] during the summer vacation after the camp. This study indicates that the resident summer camp was effective in improving children's movement behaviors during the camp. However, the lasting effects were negligible or at least limited after its completion.

Effects of school-based before-school physical activity programmes on children's physical activity levels, health and learning-related outcomes: a systematic review

OBJECTIVE

To review and evaluate the impact of school-based, before-school physical activity (PA) programmes on children's PA levels, health and learning-related outcomes.

DESIGN

Systematic review.

DATA SOURCES

PubMed, PsycINFO, Scopus, Embase and ERIC were searched in January 2021. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: (1) Original research published in English, (2) sample included typically developing school-age children and/or adolescents, (3) examined school-based PA programmes delivered before school, (4) included a comparator and (5) reported associations with PA, physical health, learning-related and/or psychosocial outcomes. Studies examining before-school active transport or sport were excluded.

RESULTS

Thirteen articles representing 10 studies were included (published 2012-2020); seven conducted in primary schools. Programmes ranged between 3 weeks and 6 months, primarily operating daily and for 25-40 min. One study examined a programme informed by theory; six incorporated fidelity measures. Data synthesis, considering consistency of findings, showed indeterminate associations for the domains of physical health, learning-related and psychosocial outcomes. Among subdomains, synthesis showed positive associations with before-school and daily PA, cardiorespiratory and muscular fitness, readiness to learn and an inverse association with adiposity. Risk of bias was high/serious or insufficiently detailed across studies and outcome domains, except PA, which included moderate-risk studies.

CONCLUSION

There is limited available evidence on school-based, before-school PA programmes, with some positive associations at domain and subdomain levels. Continued research is justified to understand the role of before-school programmes for facilitating PA. Future research should follow recommended practice for intervention design and process evaluation, and address under-represented contexts, including secondary schools.

PROSPERO REGISTRATION NUMBER

CRD42020181108.

Features of physical activity and school anxiety in pupils of the secondary general education school and the cadet corps

Relevance. The relevance of the study is due to the high significance of school anxiety in the formation of psychosomatic diseases and nervous disorders. Identification of risk factors for increased anxiety, one of which is low physical activity, is important for the timely organizing of preventive measures.The aim: to assess the characteristics of physical activity and school anxiety among schoolboys of secondary school and the cadet corps.Materials and methods. The observation group consisted of 47 schoolboys studying in a secondary general school at the age of 13–16; the comparison group consisted of 140 schoolboys of the cadet corps. The comparative assessment of physical activity bases on the analysis of the physical education implementation in educational organizations and the results of a survey according to the author’s questionnaire. A comparison was made of the parameters of bioimpedance analysis (BIA) of body composition, the content of cortisol and serotonin in the blood serum, and indicators of the Phillips school anxiety test.The results. Physical activity in the school system was limited to 3 hours per week, and in the additional education system there are only 14.9 % of schoolboys who devote 6–8 hours a week to sports, which is 3 times less than in the comparison group (46.4 %). Lower values of indicators of physical activity and body composition were found in secondary school boys relative to those in cadet corps (p = 0.015–0.038). The level of cortisol in the blood serum was 1.4 times higher, and the serotonin was 1.2 times less in schoolboys of the schools comparatively to cadets (p = 0.001–0.037). In secondary school schoolboys, relative to cadets, significantly 1.9–3.9 times more often increased values were recorded for the factor general anxiety at school, frustration of the need to achieve success, fear of self-expression, fear of the situation of testing knowledge, fear of not meeting the expectations of others, problems and fears in relations with teachers and general anxiety oppositely directed correlations of weak and moderate strength were established between the frequency and duration of physical education, BIA parameters, cortisol in the blood serum and factors of school anxiety.Conclusion. The values of the factors of school anxiety schoolboys of secondary general school are higher than in boys of the cadet corps and possibly they are associated with irregularity, relatively low duration of physical activity and the degree of development of metabolically active tissues.

Psychosocial correlates of objectively measured in-school and out-of-school physical activity among Brazilian adolescents

Physical activity is influenced by an interplay of time and setting, thus, the role of psychosocial factors on behavior is expected to vary across the day. This cross-sectional study identified the psychosocial correlates of time spent in physical activity during in-school (i.e., 08:00-11:59) and out-of-school (i.e., 12:00-22:00) time segments. The sample consisted of adolescents (7th to 9th grade) of two public schools in Florianópolis, Brazil. Accelerometer measured light-intensity (LPA) and moderate-to-vigorous-intensity physical activity (MVPA) were estimated. Psychosocial correlates of physical activity (i.e., outcome expectations, attitude, self-efficacy, support from parents, and support from peers) were self-reported. Linear mixed models were applied and interaction effects of gender and age were also analyzed. From a total of 194 participants, 138 and 112 provided in-school and out-of-school valid data, respectively. Outcome expectations were associated with out-of-school MVPA (β = 0.18; p = .006). Age interaction effects were observed for the associations between outcome expectations and out-of-school LPA (β = 0.21; p = .009) and between self-efficacy and out-of-school MVPA (β = 0.19; p = .009). In conclusion, psychosocial correlates were positively associated with out-of-school physical activity and the effects varied according to age. No psychosocial correlates were identified for LPA and MVPA performed during schooltime.

The Role of Preschool Hours in Achieving Physical Activity Recommendations for Preschoolers

Research on physical activity (PA) in different educational settings could elucidate which interventions promote a healthy school lifestyle in early childhood education (ECE). The aims of this study were: (a) to analyse the PA levels of preschoolers during school hours, as well as the rate of compliance with specific recommendations on total PA (TPA) and moderate-vigorous PA (MVPA); (b) to examine the role of structured movement sessions and recess time in the MVPA levels during school hours; (c) to evaluate the sociodemographic correlates of preschoolers and the school environment on MVPA behaviour during school hours. PA was evaluated with Actigraph accelerometers. Our main findings were that: (a) preschoolers engaged in very little TPA and MVPA during school hours; (b) children showed significantly higher MVPA levels on days with versus without structured movement sessions, and the contribution of the structured sessions to MVPA was significantly higher than that of recess time; (c) gender and age were associated with PA, and a high density of young children on the playground was associated with high levels of vigorous PA, whereas in the classroom, high density was associated with more sedentary behaviour. Structured PA could reduce the gap in achieving international recommendations.

Moderate-to-Vigorous Physical Activity in Primary School Children: Inactive Lessons Are Dominated by Maths and English

BACKGROUND

A large majority of primary school pupils fail to achieve 30-min of daily, in-school moderate-to-vigorous physical activity (MVPA). The aim of this study was to investigate MVPA accumulation and subject frequency during academic lesson segments and the broader segmented school day.

METHODS

122 children (42.6% boys; 9.9 ± 0.3 years) from six primary schools in North East England, wore uniaxial accelerometers for eight consecutive days. Subject frequency was assessed by teacher diaries. Multilevel models (children nested within schools) examined significant predictors of MVPA across each school-day segment (lesson one, break, lesson two, lunch, lesson three).

RESULTS

Pupils averaged 18.33 ± 8.34 min of in-school MVPA, and 90.2% failed to achieve the in-school 30-min MVPA threshold. Across all school-day segments, MVPA accumulation was typically influenced at the individual level. Lessons one and two-dominated by maths and English-were less active than lesson three. Break and lunch were the most active segments.

CONCLUSION

This study breaks new ground, revealing that MVPA accumulation and subject frequency varies greatly during different academic lessons. Morning lessons were dominated by the inactive delivery of maths and English, whereas afternoon lessons involved a greater array of subject delivery that resulted in marginally higher levels of MVPA.

Physical activity and sedentary time of youth in structured settings: a systematic review and meta-analysis

BACKGROUND

Structured settings, such as school, childcare, afterschool programs, summer camps, and physical activity/sport programs are crucial to promoting physical activity (PA) opportunities and reducing sedentary (ST) for children and adolescents. However, little is known about how much PA and ST children and adolescents accumulate in structured settings. The aim of this study is to conduct a systematic review and meta-analysis of the absolute amount of time youth spend physically active and sedentary in different structured settings (Prospero number: 42018111804).

METHODS

Observational and experimental/quasi-experimental studies (baseline data only) with full-text available, written in English and published in a peer-reviewed journal, reporting the total amount of objectively measured PA (light, moderate, vigorous, and/or total physical activity) and/or time spent ST during structured settings among youth (3 to 18 years) were eligible. Adjusted meta-analysis was conducted to estimate the pooled mean of time spent in PA and ST, by settings and sex.

RESULTS

A total of 187 studies (childcare n=60; school n=91; afterschool programs n=14; summer camp n=4; and Physical activity/ sport programs n=18) from 30 countries (47.9% United States), representing 74,870 youth (mean age 8.6 years old) were included. Overall, there was a high variation between studies in outcomes and settings. The meta-analyses revealed, on average, youth spend 221.8 minutes (36.7 min/hour) in ST and 32.1 minutes (5.1 min/hour) in MVPA during childcare hours, and 223.9 minutes (36.7min/hour) in ST and 27.8 min (4.4 min/hour) in MVPA at school. Relatively, youth are engaged in more MVPA in afterschool programs (11.7 min/hour), PA/ sport programs (20.9 min/hour), and summer camps (6.4 min/hour), when compared to childcare and school.

CONCLUSION

Total PA accumulated during childcare and MVPA accumulated during schools hours were close to recommendations, despite high proportion of ST. Afterschool programs, summer camp and PA/ sport programs are important settings that can contribute to daily PA and reduced ST. Ensuring all youth have access to these structured settings may be an important step forward for public health.

Physical Activity Opportunities of Low-Income Elementary School-Aged Children During the Segmented School Day

BACKGROUND

In this study, we examined moderate-to-vigorous physical activity (MVPA) of children in a school district serving children from low-income and minority households.

METHODS

This observational study was conducted in 8 rural elementary schools in South Carolina. Children (N = 719, age = 7.7 years, 48.0% girls, 88.0% African American) wore accelerometers during school hours. Physical activity was distilled into time engaged in MVPA during 4 distinct opportunities. These 4 opportunities were non-activity time (eg, class-time), extended lunch (lunch recess after eating), physical education (PE), and recess. Mixed effects linear regressions estimated MVPA on days that had no activity opportunities, extended lunch, recess, PE, and multiple activity opportunities (eg, PE and recess).

RESULTS

On days with multiple activity opportunities, girls and boys accumulated 8.0 (95% CI = 4.9, 11.1) and 7.1 (95% CI = 3.6, 10.7) additional minutes of MVPA compared to a no activity day. On PE days boys accumulated 5.2 (95% CI = 0.3, 10.2) additional minutes of MVPA, whereas recess days provided girls with 3.0 (95% CI = 0.1, 6.0) additional MVPA minutes. No other activity opportunities provided statistically significant increases in school-day MVPA.

CONCLUSIONS

In low-income schools it may be necessary to provide multiple physical activity opportunities during the school day to increase boys' and girls' MVPA.

Physical Activity of Children with Visual Impairments during Different Segments of the School Day

Schools provide opportunities for children with visual impairments (VI) to accumulate recommended daily moderate-to-vigorous-intensity physical activity (MVPA). This study aimed to determine physical activity (PA) across the school day among special school children with VI in China. The study objectively measured the MVPA levels of children with VI during the recess, lunchtime, physical education (PE) classes, before-school, and after-school periods segments on PE days and non-PE days. Moreover, this research compared the gender, age, and body mass index (BMI) differences in MVPA during each segment. A total of 70 children with VI aged 7–17 years (mean age = 13.7; SD = 3.4) from the special school participated in this study. Accelerometers were utilized to measure the MVPA of children with VI. The participants with VI accumulated significantly more MVPA time on PE days than on non-PE days. Before-school periods and structured PE classes showed higher percentages of MVPA time than recess, lunch break, and after-school periods during the school day. Children with VI aged 7–12 years old were significantly more physically active than those aged 13–17 years old during recess, lunch break, and after-school periods. In conclusion, PA interventions during structured PE classes are recommended. Special attention should be provided to children with VI as they grow up to increase their MVPA.

Difference in Outdoor Time and Physical Activity During Recess After Schoolyard Renewal for the Least-Active Children

BACKGROUND

It remains unclear if schoolyard interventions "just" provide more opportunities for those children who are already active. The authors wanted to investigate schoolyard use and physical activity (PA) among the least-active children during recess following schoolyard renewals.

METHODS

An intervention study design with preresults and postresults comparison was used. Accelerometer and global positioning system data were collected at 6 Danish schools from 553 children at baseline and 439 after renewals (grades 4-9). Based on mean minutes of recess moderate to vigorous PA per child per school, the least-active children were defined as all children in the lowest activity quartile at baseline and follow-up, respectively.

RESULTS

One hundred and thirty-five children (70% girls) at baseline and 108 (76% girls) at follow-up were categorized as the least-active children. At follow-up they accumulated more time (12.1 min/d) and PA (4.4 min/d) in the schoolyard during recess compared with baseline. The difference in schoolyard PA found for the least-active children was relatively small compared with the difference for all children.

CONCLUSIONS

Solely improving the physical schoolyard environment seemed to have limited impact on the least-active children's PA. Future studies should investigate the complex interrelations between the least-active children and the entire schoolyard environment.

Effect of Children's Weight Status on Physical Activity and Sedentary Behavior during Physical Education, Recess, and After School

Children's body mass index may affect physical activity (PA) participation. Therefore, this study examined the effect of children's weight status on underserved elementary school children's PA and sedentary behavior (SB) throughout the segmented day. Participants were 138 children (X¯age = 8.14 years). Children's height and weight were measured with subsequent classification of children as healthy weight or overweight/obese. Durations of moderate-to-vigorous PA (MVPA), light PA (LPA), and SB during physical education (PE), morning recess, lunch recess, after school, and overall were assessed via accelerometry over three days. Independent t-tests evaluated differences in children's MVPA, LPA, and SB during each daily segment by weight status. Significantly higher MVPA was observed for children of healthy weight status versus children with overweight/obesity during morning recess, t(136) = 2.15, p = 0.03, after school, t(136) = 2.68, p < 0.01, and overall, t(136) = 2.65, p < 0.01. Interestingly, comparisons of children of healthy weight status and children with overweight/obesity's LPA and SB during the after-school segment revealed a trend wherein children with overweight/obesity participated in slightly greater LPA/less SB than children of healthy weight status. Higher MVPA was observed among children of healthy weight versus children with overweight/obesity during most daily segments. Concerted efforts should focus on increasing MVPA among children with overweight/obesity.

A Systematic Review of Children's Physical Activity Patterns: Concept, Operational Definitions, Instruments, Statistical Analyses, and Health Implications

Despite the widespread use of the expression “physical activity pattern” (PAP), there apparently is no general consensus regarding its definition. This systematic review aimed to examine available research focussing on (1) definitions of PAP, (2) instruments/techniques used to describe PAP, (3) statistical approaches used to analyse PAP, and (4) implications of PAP on children’s health. A systematic review of the available literature was done to identify studies published up to October 2019, and 76 studies were eligible. None of the studies presented a formal definition of PAP; a wide range of instruments were used to investigate children’s PAP, and most of the revised studies did not explicitly present a formal statistical model to define PAP. Twenty-four papers purported to examine associations between PAP and health indicators. The review highlights no consensus on a clear PAP definition whatever the instrument used to capture it, and we did not find any agreement regarding how best to analyse PAP. We suggest that PAP should be used when targeting the investigation of similarities/dissimilarities, as well as stabilities and/or changes in children’s PA at an intra-personal level. In sum, PAP should be used to best describe individual streams of behaviours, and not exclusively PA levels/intensities.

Lack of Correlation between Accelerometers and Heart-Rate Monitorization during Exercise Session in Older Adults

Aging is increasing worldwide; hence, aging-related health is also more relevant. Well-programmed physical exercise is now an indispensable tool to achieve active aging and preserve older people’s health. Such “well-programmed” exercise requires efficient and useful tools to measure the activity. The objective of this study is to evaluate the effectiveness of accelerometers to estimate two different intensities of physical exercise in older people. Thirty-eight subjects (64.5 ± 5.3 years) were measured during two different sessions of physical exercise: one moderate in intensity, the other of low intensity. Heart rate and accelerometry were recorded and analyzed. The results showed that the two variables in the physical exercise sessions were not highly correlated, and that accelerometry did not seem useful to assess low-intensity sessions not based on walking.

Levels of Physical Activity during School Hours in Children and Adolescents: A Systematic Review

BACKGROUND

This systematic review determines the levels of physical activity (PA) during school hours in children and adolescents.

METHODS

Studies carried out from January 1987 to December 2019 were retrieved from four databases (Web of Science, Pubmed, Scopus and SportDiscus). The 29 selected studies were cross-sectional, long-term and case studies.

RESULTS

Most of them used accelerometers and showed that male and female children accumulated a mean of between 14 and 68 min of moderate-to-vigorous PA (MVPA) during school hours (3%-22% of this daily segment), and male and female adolescents accumulated a mean of between 13 and 28 min of MVPA during this daily segment (3%-8% of the school hours). Less than a quarter of children and adolescents reached the recommended 30 min of MVPA during school hours, with notable differences between sexes.

CONCLUSIONS

These results suggest that the levels of PA during school hours are not enough, and consequently, schools should develop strategies for helping children and adolescents reach the school PA recommendation.

Sedentariness and Physical Activity during School Recess Are Associated with VO2Peak

Recess time (RT) is a main component of school-based activities, and could contribute up to 40% of the physical activity (PA) recommended in the health guidelines. The main goal was to analyze the association between accelerometer-measured PA and sedentary time during RT with cardiorespiratory fitness (CRF). A total of 146 children and adolescents, aged 8-19 years, were recruited from six schools. PA levels were measured with GT3X accelerometers over 7 days. CRF was measured using a portable breath-by-breath gas analyzer. A general linear model (GML) was conducted to analyze the association between PA intensities and CRF during RT. Additionally, a logistic binary regression was used to evaluate the risk of unhealthy CRF among different categories of PA and sedentary time. Participants classified as healthy showed higher PA levels during RT than those classed as unhealthy. GML analysis showed that sedentary time during RT was significantly associated with VO2Peak. Finally, individuals who were sedentary for more than 15 min during RT presented 97.7% lower odds of having unhealthy CRF (adjusted Odds Ratio = 0.023, 95% CI -0.002 to 0.263). Our data suggest an association between recess sedentary time and unhealthy CRF. Thus, school-aged children and adolescents must be empowered to perform PA during RT to prevent the deleterious effects of sedentary time on CRF.

Ecological study of playground space and physical activity among primary school children

OBJECTIVES

To examine the relationship between school playground size and total physical activity (PA), fitness and fundamental movement skills (FMS) of primary school students.

DESIGN

Cross-sectional ecological analysis.

SETTING

43 primary schools in New South Wales, Australia.

PARTICIPANTS

Data were from 5238 students, aged 5 to 12 years, participating in the Schools Physical Activity and Nutrition Survey.

OUTCOME MEASURES

Self (for age ≥11 years) and parent (for age <11 years) report of PA (meeting PA recommendations and number of days meeting recommendations), objectively measured FMS and cardiorespiratory and muscular fitness.

RESULTS

Associations between playground space and measures of PA and fitness were mostly non-linear and moderated by loose equipment. Students in schools with no loose equipment showed a weak association between space and meeting PA recommendations (self-report). In schools with equipment, students' predicted probability of meeting PA recommendations increased sharply between 15 m² and 25 m² per student from 0.04 (95% CI: 0.01 to 0.08) to 0.30 (95% CI: 0.14 to 0.46), but at 30 m² returned to levels comparable to students in schools with no equipment (0.18, 95% CI: 0.07 to 0.28). For cardiorespiratory fitness, in schools with no loose equipment, probabilities for being in the healthy cardiovascular fitness zone varied between 0.66 and 0.77, showing no consistent trend. Students in schools with loose equipment had a predicted probability of being in the healthy fitness zone of 0.56 (95% CI: 0.41 to 0.71) at 15 m² per student, which rose to 0.75 (95% CI: 0.63 to 0.86) at 20 m² per student. There was no relationship between space and FMS.

CONCLUSIONS

School space guidelines need to incorporate sufficient playground space for students. Our study provides evidence supporting better PA outcomes with increasing space up to 25 m² per student, and access to loose equipment, however further research is required to determine precise thresholds for minimum space. Intersectoral planning and cooperation is required to meet the needs of growing school populations.

Effects of the application of a prolonged combined intervention on body composition in adolescents with obesity

BACKGROUND

The aim of this study is to describe the effects of a prolonged dietary-behavioral-physical activity intervention (24 months) on body composition in a group of adolescents with obesity.

METHODS

Longitudinal study in 196 individuals with obesity (86 boys and 110 girls) aged 10.1-14.9 years that completed a prolonged combined intervention (24 months). Values for weight, height, skinfold thickness, waist circumference, BMI, body fat, fat mass index (FMI) and fat-free mass index (FFMI) were registered or calculated. A good response to treatment was reported when a BMI z-score reduction of greater than or equal to 0.5 units of the initial value occurred after 24 month of follow up.

RESULTS

A good response after 24 months of follow-up reached 58.2% (n = 114). In boys with obesity and BMI status improvement, weight z-score, BMI z-score, body fat, and FMI significantly decreased (p < 0.05). In girls with obesity and BMI status improvement, weight z-score, BMI z-score, waist circumference, waist z-score, body fat and FMI significantly decreased (p < 0.05). In both sexes the height and FFMI increased significantly (p < 0.05). The multiple logistic regression analysis showed that girls and younger age were associated with BMI status improvement; concurrently, the place of residence (urban or rural) and degree of obesity were not associated with BMI status improvement.

CONCLUSION

The application of long-term combined strategies in the treatment of childhood obesity seems to be effective. As BMI decreases, a reduction in fat mass is also detected, with evident sexual dimorphism, in the absence of changes in fat-free mass and, consequently, in longitudinal growing.

Improvements in Physical Activity Levels after the Implementation of an Active-Break-Model-Based Program in a Primary School

The aim of this study was to analyze changes in the physical activity levels in students after implementing an active break (AB)-model-based program during the school day. Forty-four fifth-grade primary school children (24 boys, 20 girls, with a mean age = 10.44 ± 0.45) participated in a 17 week program. After intervention, there was an increase in moderate and vigorous total activity during physical education lessons, non-physical education lessons, and recesses. Intervention programs to encourage physical activity and decrease sedentary time are recommended.

Understanding physical activity and sedentary behaviour among preschool-aged children in Singapore: a mixed-methods approach

OBJECTIVES

This study investigated physical activity (PA) and sedentary behaviour (SB) among preschool-aged children in Singapore and potential correlates at multiple levels of the socioecological model from in-school and out-of-school settings.

DESIGN

A cross-sectional study using a mixed-methods approach.

PARTICIPANTS

Parent-child dyads from six preschools in Singapore.

METHODS

PA and SB of children (n=72) were quantified using wrist-worn accelerometers for seven consecutive days. Three focus group discussions (FGDs) among 12 teachers explored diverse influences on children's activities, and System for Observing Play and Leisure Activity in Youth (SOPLAY) assessed PA environment and children's activity levels at preschools. Seventy-three parents completed questionnaires on home and neighbourhood factors influencing children's PA and SB. Descriptive analyses of quantitative data and thematic analysis of FGDs were performed.

RESULTS

Based on accelerometry, children (4.4±1.1 years) spent a median of 7.8 (IQR 6.4-9.0) hours/day in SB, and 0.5 (0.3-0.8) hours/day in moderate-to-vigorous physical activity (MVPA). MVPA was similar throughout the week, and SB was slightly higher on non-school days. In preschools, SOPLAY showed more children engaging in MVPA outdoors (34.0%) than indoors (7.7%), and absence of portable active play equipment. FGDs revealed issues that could restrict active time at preschool, including academic requirements of the central curriculum and its local implementation. The teachers had varying knowledge about PA guidelines and perceived that the children were sufficiently active. In out-of-school settings, parents reported that their children rarely used outdoor facilities for active play and spent little time in active travel. Few children (23.5%) participated in extracurricular sports, but most (94.5%) reported watching screens for 1.5 (0.5-3.0) hours/day.

CONCLUSION

MVPA was low and SB was high in preschool-aged children in an urban Asian setting. We identified diverse in-school and out-of-school correlates of PA and SB that should be taken into account in health promotion strategies.

Segmented sedentary time and physical activity patterns throughout the week from wrist-worn ActiGraph GT3X+ accelerometers among children 7-12 years old

BACKGROUND

This study examined the volume and patterns of physical activity (PA) and sedentary time (ST) across different segments of the week among boys and girls.

METHODS

A total of 188 children aged 7-12 years wore a wrist-mounted ActiGraph GT3X+ accelerometer for 7 days. Time spent in PA and ST was calculated using ActiLife software. The mean number of minutes of light PA, moderate PA, vigorous PA, moderate-to-vigorous PA (MVPA), and ST were calculated per weekday (before school, during school, and after school) and per weekend day (morning and afternoon-evening).

RESULTS

After school represented the greatest accumulation of ST compared with before school and during school segments. Boys engaged in 225.4 min/day of ST (95% confidence interval (CI): 216-235), and girls engaged in 222.2 min/day of ST (95%CI: 213-231). During school, boys engaged in significantly more MVPA than girls (46.1 min/day (95%CI: 44-48) vs. 40.7 min/day (95%CI: 39-43)). Across the whole weekday, boys participated in significantly more MVPA than girls (103.9 min/day (95%CI: 99-109) vs. 95.7 min/day (95%CI: 90-101)). The weekend afternoon-evening segment represented the larger accumulation of ST, where boys were significantly more sedentary than girls (367.5 min/day (95%CI: 353-382) vs. 339.8 min/day (95%CI: 325-355), respectively).

CONCLUSION

Our findings suggest that children are highly sedentary and spend little of their time in school in MVPA, especially girls. Routine breaks in school elicit increases in light PA and MVPA. Future work should consider the use of more active breaks within school time to encourage PA and reduce ST.

"I Just Like the Feeling of It, Outside Being Active": Pupils' Experiences of a School-Based Running Program, a Qualitative Study

INTRODUCTION

School-based running programs that promote daily (or regular) walking/jogging/running are an emerging public health initiative. However, evaluation of these programs has predominantly used quantitative measures that limit understanding and explanations of contextual influences on pupil participation. Therefore, the aim of this study was to qualitatively explore pupils' experiences of participating in a primary-school-based running program (Marathon Kids) to provide relevant insights and inform program developments.

METHODS

Nine semistructured focus groups were conducted with a purposeful sample of 50 pupils (26 girls and 24 boys) between 6 and 10 years of age from 5 primary schools in England. All schools had delivered the running program for 5-9 months during the 2015-16 academic year. Transcripts were analyzed using an inductive thematic approach.

RESULTS

Pupils identified a range of organizational, interpersonal, and intrapersonal factors that they believed influenced their participation in the program. Six themes were identified as being important to pupils' experiences: Marathon Kids as an enabling program, pupils' autonomy to participate, peer influence on participation (e.g., development of social cohesion), teacher influence on delivery (e.g., fidelity of implementation), logistics and suitability of the school environment, and appropriateness of program resources.

CONCLUSIONS

School-based running programs can offer an enjoyable physical activity experience for children; however, it is important to understand how current delivery approaches influence pupils' participation. Aspects that were believed to facilitate enjoyment included pupil autonomy to participate, perceived benefits of participation (including psychosocial outcomes), and a supportive school environment. Further research is required to identify the type and level of support required by schools to sustain pupil participation in running programs so that their perceived value is maintained.

Physical activity around the clock: objectively measured activity patterns in young children of the GECKO Drenthe cohort

BACKGROUND

Given the widespread problem of physical inactivity, and the continued growth in prevalence of childhood and adolescent obesity, promotion of regular physical activity (PA) among young people has become a public priority. A greater understanding of children's PA patterns throughout the day is needed to effectively encourage children to be more physically active. Hence this study looking at the distribution of PA in young children throughout the day and its relevance to overweight.

METHODS

Accelerometers (ActiGraph GT3X, weartime > 600 min/day, ≥3 days) were used to measure the PA of 958 children (aged 5.7 ± 0.8 years, 52% boys) enrolled in the GECKO Drenthe cohort. Levels of sedentary time (ST), light PA (LPA) and moderate-to-vigorous PA (MVPA) were recorded throughout the day and analysed in segments (07:00-09:00, 09:00-12:00, 12:00-15:00, 15:00-18:00, 18:00-21:00). Body mass index was measured by Preventive Child Healthcare nurses and Cole's (2012) definition of overweight was used. General linear mixed models, adjusted for age, sex and season, were used to analyse patterns of PA and ST throughout the day.

RESULTS

Children were most sedentary in the early morning (07:00-09:00) and evening (18:00-21:00), and exhibited the most time spent engaged in LPA and MVPA in the afternoon (12:00-15:00) and late afternoon (15:00-18:00). The greatest inter-individual variation in ST, LPA and MVPA among the children occurred in the late afternoon and evening (approximately 40, 30 and 15 min difference per time segment between 25th and 75th percentile, respectively). The most active children (highest quartile of MVPA) were found to be more active and less sedentary throughout the entire day than the least active children (lowest quartile of MVPA). Furthermore, children with overweight were no less active than children without overweight.

CONCLUSIONS

At this young age, the relevance of different PA patterns to childhood overweight was minimal. Children were most active in the afternoon and late afternoon. To encourage PA in general, ST can be reduced and PA increased in the early morning and evening. Targeted PA interventions to specifically stimulate the least active children could take place in the late afternoon or evening.

Disentangling Physical Activity and Sedentary Behavior Patterns in Children with Low Motor Competence

Children with low motor competence (MC) are at high-risk for physical inactivity, yet little is known about their physical activity (PA) and sedentary behavior (SB) patterns throughout the day. The purpose of this study is to disentangle PA and SB patterns among children with low MC across segmented day periods taking into account differences in gender and age. Data collection took place between May and July 2017. The Athletic Skills Track was used to measure MC. PA levels were objectively measured using accelerometers (ActiGraph, GT3X+) on school days. Data were segmented for (1) time before school, (2) time during school (based on school schedules), and (3) time after school. In total, data from 117 7-to-11 years-old children with low MC were eligible for analyses (N = 58 girls; N = 59 boys). Differences in moderate-to-vigorous PA (MVPA) and SB between segmented periods, gender, and grade were analyzed by ANOVAs with post hoc tests (Tukey) and Independent Sample T-tests respectively. Time spent at school is the major contributor of time spent in SB in children with low MC. Low MC is equally distributed among gender, but large differences exist among boys and girls in both MVPA and SB, indicating low-MC girls as most inactive group. This pattern is found in all segmented periods of the school day, i.e., before, during, and after school. This study stresses the negative contribution of current school curricula on PA and SB in children with low MC, indicating the most efficient period of the day to intervene. Future school-based PA and SB interventions should particularly focus on specific high-risk populations, i.e., children with low MC, and girls in particular.

Critical Hours and Important Environments: Relationships between Afterschool Physical Activity and the Physical Environment Using GPS, GIS and Accelerometers in 10-12-Year-Old Children

Introduction: The objective of this study was to assess relationships between children’s physical environment and afterschool leisure time physical activity (PA) and active transport. Methods: Children aged 10–12 years participated in a 7-day accelerometer and Global Positioning Systems (GPS) protocol. Afterschool leisure time PA and active transport were identified based on location- and speed-algorithms based on accelerometer, GPS and Geospatial Information Systems (GIS) data. We operationalized children’s exposure to the environment by combining home, school and the daily transport environment in individualized daily activity-spaces. Results: In total, 255 children from 20 Dutch primary schools from suburban areas provided valid data. This study showed that greenspaces and smaller distances from the children’s home to school were associated with afterschool leisure time PA and walking. Greater distances between home and school, as well as pedestrian infrastructure were associated with increased cycling. Conclusion: We demonstrated associations between environments and afterschool PA within several behavioral contexts. Future studies are encouraged to target specific behavioral domains and to develop natural experiments based on interactions between several types of the environment, child characteristics and potential socio-cognitive processes.

The Role of School in Helping Children and Adolescents Reach the Physical Activity Recommendations: The UP&DOWN Study

BACKGROUND

The aims were to: (1) examine the levels of physical activity (PA) during different time periods (ie, daily PA, school hour PA, recess PA, physical education classes [PEC] PA) in children and adolescents; and (2) identify the rate of compliance with the specific PA recommendations for these time periods.

METHODS

The participants were 1925 (940 girls) children and adolescents from 40 Spanish schools. Hip-worn accelerometers were used to assess PA during different time periods.

RESULTS

Boys and children were more physically active and had a greater percentage meeting the daily PA recommendation and the school-based PA recommendation than girls and adolescents, respectively. Compliance with daily PA recommendation was markedly higher than that with the school-based PA recommendation, regardless of sex and age groups (ie, 80.4% vs 24.1% for daily and school-based PA recommendations, respectively, in child boys). A very low percentage (ie, 9.7% and 1.2% of child boys with almost 50% of moderate-to-vigorous PA during recess and PEC, respectively) of students reached the recommended PA levels for recess and PEC.

CONCLUSIONS

Physical activity levels during school hours, recess, and PEC in children and adolescents are very low. Promoting PA in school settings is essential, especially in girls and adolescents.

A Pedometer-Based Physically Active Learning Intervention: The Importance of Using Preintervention Physical Activity Categories to Assess Effectiveness

PURPOSE

To assess physical activity outcomes of a pedometer-based physically active learning (PAL) intervention in primary school children.

METHODS

Six paired schools were randomly allocated to either a 6-week teacher-led pedometer-based physically active learning intervention or a control (n = 154, female = 60%, age = 9.9 [0.3] y). Accelerometers assessed total daily sedentary time, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). Preintervention mean daily MVPA minutes grouped participants as Low Active (<45 min/d) and High Active (≥45 min/d).

RESULTS

From the final sample size, the intervention (n = 52) significantly improved LPA versus control (n = 31, P = .04), by reducing sedentary time. More intervention (+10%) than control (+3%) pupils met the 60 minutes per day guidelines. In both intervention subgroups, pupils spent less time in LPA (P < .05) versus control. The greatest nonsignificant increase was found in the Low Active pupils MVPA levels.

CONCLUSIONS

Improvements in LPA were statistically significant in the intervention versus control group. In subgroup analysis, Low Active pupils in the intervention showed the greatest beneficial effects and the Most Active pupils may have replaced MVPA and sedentary time with LPA. The intervention group housed clusters of pupils showing variable responsiveness, justifying routine examination of subgroup variability in future studies.

Contribution of Physical Education to the Daily Physical Activity of Schoolchildren in Saudi Arabia

The positive contribution of physical education (PE) to daily physical activity (PA) has been documented in past studies. However, little is known about the contribution of PE to inactive and unfit schoolchildren’s PA. Therefore, the purpose of the present study was to examine the contribution of PE to the daily PA of schoolchildren, especially for inactive and unfit schoolchildren. Accelerometers were used to measure the PA of 111 boys (M_age = 13.6 ± 0.8 years) across 7 days. Moderate-to-vigorous PA (MVPA) was measured during PE classes and on school days with and without PE classes. To measure the time that schoolchildren spent on MVPA, the accelerometer count (i.e., ≥2296 counts/minute) was used. Schoolchildren spent 22% of PE class time in MVPA. Times spent in MVPA were 12.9, 14.7 and 14.8 minutes higher on PE days than on days without PE for all, inactive, and unfit schoolchildren, respectively. Results showed that 40% percent and 24% of the schoolchildren met the recommended levels of PA on PE days and days without PE, respectively. It is concluded that, since PE classes increase daily engagement in MVPA, especially among inactive and unfit schoolchildren, PE classes should be conducted on all school days.

Can Off-Training Physical Behaviors Influence Recovery in Athletes? A Scoping Review

Recently, the attention on recovery in sport increased enormously although there is lack of scientific evidence on the role of lifestyle in terms of movement [i.e., physical behaviors (PBs)], apart from sleep. Few studies assessed physical activity (PA) and sedentary behavior (SB) in athletes. The aims of this scoping review were to answer to the following scientific questions: (1) How active/inactive are competitive athletes out of training? (2) Do off-training PBs affect recovery, performance, and health? (3) What strategies can be implemented to improve recovery using off-training PBs, apart from sleep? From 1,116 potentially relevant articles, nine were eligible for inclusion in this review. The main issues identified were related to the heterogeneity concerning the types of sports, age category, gender, competitive level, sample size, and instruments/devices adopted, the paucity of studies investigating the effects of PBs while awake on recovery, and the lack of experimental designs manipulating PBs while awake to accelerate recovery. Furthermore, PA and SB domains were rarely investigated, while no research articles focused on the combined effect of 24-h PBs. Eight out of nine studies measured PA, seven SB, and two included sleep. Three studies included training practice into PA measurement by the means of accelerometry. Overall, almost the totality of the athletes achieved recommended PA levels although they sustained prolonged SB. In conclusion, more descriptive researches are needed in different athletic populations and settings. Furthermore, experimental designs aimed at investigating the effects of PBs manipulation on recovery and the putative mechanisms are encouraged.

EFFECTIVENESS OF OBESITY INTERVENTION PROGRAMS BASED ON GUIDELINES FOR ADOLESCENT STUDENTS: SYSTEMATIC REVIEW

OBJECTIVE

To verify the effectiveness of educational interventions based on guidance on physical activity and nutrition in schoolchildren.

DATA SOURCES

A systematic search was carried out in four electronic databases containing articles published between October 2007 and January 2017 and addressing educational interventions with emphasis on both nutritional education and physical activity in schoolchildren and adolescents aged 10 to 19 years.

DATA SYNTHESIS

Twelve articles were selected for this review, of which four included only educational interventions; four made and association between educational interventions, inclusion of healthy foods and physical activity; two made a relation between guidelines and physical activity; and finally, two associated guidelines with consumption of healthy foods.

CONCLUSIONS

Interventions based on physical activity and/or nutrition counseling were efficient and showed superior results in studies that associated the practice of physical activity with counseling. However, the need for new studies on educational interventions among schoolchildren and adolescents was made evident.

Variability in school children's activity occurs in the recess and before-school periods

BACKGROUND

An accurate description of physical activity (PA) at school is required for appropriate health interventions. We examined PA patterns in children, and identified the time periods that influenced them.

METHODS

Forty students in five Japanese primary schools were asked to wear triaxial accelerometers for ≥7 days. We obtained coefficients of variance (CV) at 15 min intervals, and conducted factor analysis of the school periods. A questionnaire was used to investigate where students spent time before school, and during recess.

RESULTS

The amount of PA, and its CV were higher around 8 a.m. (before-school period), 10 a.m. (morning recess), 1 p.m. (lunch recess), and 4 p.m. (commuting home from school). Moderate-vigorous PA (MVPA; ≥3.0 metabolic equivalent units [MET]) was highest during lunch recess and the after-school period (12.9 ± 7.4 min and 12.6 ± 6.2 min, respectively). The percentage of MVPA time was high (>15%) in the before-school period and morning and lunch recesses, but low (10%) in the after-school period. On factor analysis there were differences in PA patterns between the school period and the after-school period. The students who spent their time in the playground logged more MVPA time and less sedentary time (≤1.5 MET) than those who did not spend their time in the playground.

CONCLUSION

Activities before school, and in the morning and lunch recesses influenced daily PA, and were different from after-school PA. Close attention to these periods may help in defining PA parameters during free time at school for PA interventions in children.

Effect of classroom-based physical activity interventions on academic and physical activity outcomes: a systematic review and meta-analysis

Background

Physical activity is associated with many physical and mental health benefits, however many children do not meet the national physical activity guidelines. While schools provide an ideal setting to promote children’s physical activity, adding physical activity to the school day can be difficult given time constraints often imposed by competing key learning areas. Classroom-based physical activity may provide an opportunity to increase school-based physical activity while concurrently improving academic-related outcomes. The primary aim of this systematic review and meta-analysis was to evaluate the impact of classroom-based physical activity interventions on academic-related outcomes. A secondary aim was to evaluate the impact of these lessons on physical activity levels over the study duration.

Methods

A systematic search of electronic databases (PubMed, ERIC, SPORTDiscus, PsycINFO) was performed in January 2016 and updated in January 2017. Studies that investigated the association between classroom-based physical activity interventions and academic-related outcomes in primary (elementary) school-aged children were included. Meta-analyses were conducted in Review Manager, with effect sizes calculated separately for each outcome assessed.

Results

Thirty-nine articles met the inclusion criteria for the review, and 16 provided sufficient data and appropriate design for inclusion in the meta-analyses. Studies investigated a range of academic-related outcomes including classroom behaviour (e.g. on-task behaviour), cognitive functions (e.g. executive function), and academic achievement (e.g. standardised test scores). Results of the meta-analyses showed classroom-based physical activity had a positive effect on improving on-task and reducing off-task classroom behaviour (standardised mean difference = 0.60 (95% CI: 0.20,1.00)), and led to improvements in academic achievement when a progress monitoring tool was used (standardised mean difference = 1.03 (95% CI: 0.22,1.84)). However, no effect was found for cognitive functions (standardised mean difference = 0.33 (95% CI: -0.11,0.77)) or physical activity (standardised mean difference = 0.40 (95% CI: -1.15,0.95)).

Conclusions

Results suggest classroom-based physical activity may have a positive impact on academic-related outcomes. However, it is not possible to draw definitive conclusions due to the level of heterogeneity in intervention components and academic-related outcomes assessed. Future studies should consider the intervention period when selecting academic-related outcome measures, and use an objective measure of physical activity to determine intervention fidelity and effects on overall physical activity levels.

Predictors of Segmented School Day Physical Activity and Sedentary Time in Children from a Northwest England Low-Income Community

Background: Schools have been identified as important settings for health promotion through physical activity participation, particularly as children are insufficiently active for health. The aim of this study was to investigate the child and school-level influences on children′s physical activity levels and sedentary time during school hours in a sample of children from a low-income community; Methods: One hundred and eighty-six children (110 boys) aged 9–10 years wore accelerometers for 7 days, with 169 meeting the inclusion criteria of 16 h∙day⁻¹ for a minimum of three week days. Multilevel prediction models were constructed to identify significant predictors of sedentary time, light, and moderate to vigorous physical activity during school hour segments. Child-level predictors (sex, weight status, maturity offset, cardiorespiratory fitness, physical activity self-efficacy, physical activity enjoyment) and school-level predictors (number on roll, playground area, provision score) were entered into the models; Results: Maturity offset, fitness, weight status, waist circumference-to-height ratio, sedentary time, moderate to vigorous physical activity, number of children on roll and playground area significantly predicted physical activity and sedentary time; Conclusions: Research should move towards considering context-specific physical activity and its correlates to better inform intervention strategies.

Does a single bout of exercise influence subsequent physical activity and sedentary time in overweight boys?

OBJECTIVE

To assess the influence of a single bout of exercise on subsequent physical activity and sedentary time among overweight boys.

METHODS

A crossover study on 24 overweight boys (11-13years old) was conducted with three different experimental sessions: control, one bout of moderate exercise, and one bout of vigorous exercise. Physical activity was measured using triaxial accelerometers and time spent in light, moderate, vigorous, and sedentary activities was assessed during six days of follow-up. Differences in daily percentage of time spent in sedentary, light, moderate, and vigorous activities among experimental sessions were analyzed using linear mixed-effect models.

RESULTS

Time spent in sedentary behavior was greater after moderate and vigorous sessions compared to the control, with statistically significant differences in trajectories between moderate (p=0.04) and vigorous sessions (p=0.006) compared to controls. Similarly, the time spent in moderate physical activity was smaller after moderate (p=0.02) and vigorous sessions (p=0.02) compared to the control. No differences in sedentary (p=0.50) and moderate (p=0.97) activities were observed between moderate and vigorous sessions. The percentage of time spent in vigorous physical activity showed a greater reduction in vigorous condition compared to moderate and control (p<0.01) conditions, while time spent in light physical activities was not different between sessions.

CONCLUSIONS

Our results indicate a compensatory effect after a single bout of exercise due to decreases in moderate and vigorous physical activity and increases in sedentary time during the following six days.

Context matters! sources of variability in weekend physical activity among families: a repeated measures study

Background

Family involvement is an essential component of effective physical activity (PA) interventions in children. However, little is known about the PA levels and characteristics of PA among families. This study used a repeated measures design and multiple data sources to explore the variability and characteristics of weekend PA among families.

Methods

Families (including a ‘target’ child aged 9–11 years, their primary caregiver(s) and siblings aged 6–8 years) were recruited through primary schools in Liverpool, UK. Participants completed a paper-based PA diary and wore an ActiGraph GT9X accelerometer on their left wrist for up to 16 weekend days. ActiGraph.csv files were analysed using the R-package GGIR version 1.1–4. Mean minutes of moderate-to-vigorous PA (MVPA) for each weekend of measurement were calculated using linear mixed models, and variance components were estimated for participant (inter-individual), weekend of measurement, and residual error (intra-individual). Intraclass correlation coefficients (ICC) were calculated from the proportion of total variance accounted for by inter-individual sources, and used as a measure of reliability. Diary responses were summed to produce frequency counts. To offer contextual insight into weekend PA among family units, demographic, accelerometer, and diary data were combined to form two case studies representative of low and high active families.

Results

Twenty-five participants from 7 families participated, including 7 ‘target’ children (mean age 9.3 ± 1.1 years, 4 boys), 6 siblings (mean age 7.2 ± 0.7 years; 4 boys) and 12 adults (7 mothers and 5 fathers). There was a high degree of variability in target children’s (ICC = 0.55), siblings (ICC = 0.38), and mothers’ MVPA (ICC = 0.58), but not in fathers’ MVPA (ICC = 0.83). Children’s weekend PA was mostly unstructured in nature and undertaken with friends, whereas a greater proportion of parents’ weekend PA was undertaken alone in structured settings. The family case studies demonstrated that in the selected cases MVPA levels and variability across weekends were contingent on mode of PA participation.

Conclusions

These novel findings enhance understanding of the variability and characteristics of weekend PA among family units. The study demonstrates the utility of PA diaries in conjunction with accelerometers to provide understanding of the mode and contexts of out-of-school and family-based PA.