Background
Evidence acquired over the last decade in Australia alone clearly demonstrates the need for increased physical activity levels and physical activity intensity in primary school-aged children [
1,
2]. Current research suggests that only about half of all Australian primary school aged children are meeting the National Physical Activity and Sedentary Behaviour Recommendations [
3,
4]. This is concerning considering the strong relationship between achieving the minimum of 60 min of physical activity each day and positive physical, social and mental health [
5] and a range of academic outcomes, including cognition [
6], on-task behaviour [
7] and academic achievement [
8].
Despite the availability of physical activity health promotion programs for primary schools, the Independent Sport Panel Report: The Future of Sport in Australia [
9] and Auditor’s General’s report on Physical Activity in NSW Government Primary Schools [
10] argue they are inadequate. Both report an insufficient allocation of school resources for children to be adequately active in terms of time and intensity (i.e. during physical education, school sport, and free play), limited teacher training in understanding the importance of physical activity and how to effectively motivate students to be active, and a lack of supportive resources for schools and primary teachers to encourage physical activity.
Recent systematic reviews have sought to examine the interventions focusing on increasing children’s physical activity levels during school break times [
11,
12]. These reviews report that interventions based on playground markings and equipment do increase the physical activity of schoolchildren during school break times in the short to medium term. There have been an abundance of intervention studies seeking to increase student physical activity levels during recess and lunch break times, but there have been limited studies focusing on physical activity intensity, and to the authors’ knowledge no objective observational studies (free from intervention) describing the intensity of student physical activity participation over time in NSW primary schools. The primary aim of this observational study was to examine the playground activity type and gender-related variation in physical activity intensity among a large group of NSW primary school children. Additionally, we report on covariates such as surface type, temperature, school socio-economic status, and time of day to determine if these factors had any influence on physical activity intensity during recess and lunch breaks.
Method
Researchers contacted and invited 40 primary schools from the Greater Western Sydney area of NSW, Australia. This area was chosen due to the prevalence of students in this region not meeting the physical activity guidelines1. The first twenty schools to respond to the invitation were recruited into the study as this was the financial capacity of the study. All schools were Grades K-6 with a student age range of 4–12 years.
The primary outcome variable for this study was the intensity of PA levels during recess and lunch breaks as a mean percentage of time available during those periods. Simply, we were most interested in mean proportion of students engaging in vigorous physical activity (%VPA), Walking (%Walking), or sedentary activity (%sedentary activity). This was measured using the System of Observing Physical Activity in Recreation and Communities (SOPARC) [
13] with simultaneous observations conducted by two research assistants trained to the gold standard. Covariates included sex of student (captured by uniform observation), area type (hard or soft surface), activity type (captured using SOPARC coding of activity types), temperature (captured from the Bureau of Meteorology website), and school socio-economic status (Socio-Economic Indexes for Areas – SEIFA [
14]; and Index of Community Socio-Educational Advantage – ICSEA [
15]).
PA was measured using direct observation of three randomly selected recess and lunch breaks (which could range between 10 and 45 min) on three separate days from each school over a 10-week period in Term 4 (September – December) of 2014 and 2015. A repeated measures design was conducted in order to reduce school variability. No other natural experiments were being conducted in the schools that remained in the study during these two observation phases. The SOPARC [
13] was used to collect these data and is based on momentary time sampling procedures in which orderly and recurrent scans of individuals and contextual factors within predetermined target areas are made. iPad tablets (Apple Inc., USA) installed with the iSOPARC Application Version 1.75 (CIAFEL, Portugal:
http://ciafel.fade.up.pt) were used to provide instead of the traditional paper version of the instrument. The iSOPARC is a smart device application that implements the SOPARC protocol to generate data from field observations when used by trained observers. It provided the capacity to store, process and export data in a more timely and secure manner than afforded with paper-based versions of the instrument. The iSOPARC contains a digital counter that calculates the proportion of physical activity intensity as a percentage observed time (i.e. coded as %VPA, %walking, or %sedentary), the prominent activity type (i.e chasing, football, racquet games, etc.…), target area mapping, project-based data management, and cloud compatible data export functions.
Boundaries for the two most commonly utilised areas for student physical activity during recess and lunch periods (as identified by the school principal or their proxy) were marked on a school map and assessed for suitability for iSOPARC scanning in negotiation. One undercover and one exposed area were needed for each school. Observations were only made when it was not raining, thus when the weather permitted outdoor play. Ensure consistency with observation protocol, photo documentation of all the pre-determined settings (from each school) were taken by research staff and examined in order to classify the surface type as either hard (concrete or asphalt) or soft (grass or dirt).
Four research assistants were trained as iSOPARC observers and conducted the observations. On completion of the training, the observers were only allowed to commence the observations for this study when an interrater agreement of 85% or more on all variables on pre-recorded “gold-standard” DVDs and during live field practice was reached. Thirty-two field-based inter-rater reliability checks were conducted during the 10-week observation period. During reliability checks, two observers independently coded the same students in the same lunch or recess break.
In the traditional application of the iSOPARC tool, a scan of each subject is electronically coded and identified by: sex (male or female), intensity of activity (sedentary, walking, or very active), and whether they are a child, teen, adult or senior. During a scan of each subject, the physical activity of each individual was coded as sedentary (i.e., lying down, sitting, or standing), walking, or vigorous. The activity codes used in the SOPARC instrument have been validated by heart rate monitoring of youths from kindergarten through 12th grade15, and by pedometry in primary school physical education classes15. Separate scans were made for females and males, and entries are also made for time of day, temperature, area accessibility, area usability and presence of supervision. Each observation was conducted twice during the recess and lunch breaks for both females and males (i.e. four observations in total for recess breaks and another four observations for lunch breaks). Additional data recorded prior to the direct observation scans included; temperature and UV level at the start and end of the observation period; whether the observation was made at recess or lunch; start and finish times of recess and lunch; and whether the area was shaded or not.
Socioeconomic status (SES) was calculated based on two Indexes (based on postcode of residence using Socio-Economic Indexes for Areas – SEIFA; and the school’s Index of Community Socio-Educational Advantage – ICSEA as determined by the Australian Curriculum, Assessment and Reporting Authority).
In an effort to minimise bias, inter-rater reliability checks on 4% of the iSOPARC observations were randomised in order to prevent possible collusion. Recess and lunch break observations were randomly selected and observers and schools were given limited notice of when a reliability check was going to occur (usually less than 24 h).
Ethics approval was obtained from an Australian University Human Research Ethics Committee and the NSW Department of Education. Written informed consent was provided by school principals.
Data analysis of the iSOPARC observations were analysed using Statistical Package for Social Science (SPSS) version 24. School playground physical activity was assigned as the dependent variable. Vigorous physical activity (VPA), walking and sedentary activity were the principal outcomes of interest as a mean proportion of total observations. Student sex, activity type playground surface type, temperature, SES and time of day were assigned as independent variables.
Measures of central tendency were calculated for iSOPARC data for the entire sample and then stratified by sex (boys and girls), school environment (shaded and unshaded areas) and activity type. The relationship between these covariates and activity intensity were calculated using Analysis of Covariance (ANCOVA) in SPSS version 21. The between group difference of boys and girls was calculated using an Analysis of Variance (ANOVA) in SPSS version 21.
Pearson product moment correlations were calculated on each observation for VPA based on school ICSEA, temperature (obtained via the Bureau of Meteorology website; see
www.bom.gov.au), and time of day (accessed via iSOPARC). Individual schools were not included because of the variability in contextual factors in each of the different schools (i.e., population, total area, school policy around play spaces).
Discussion
The purpose of this study was to describe the intensity of PA primary school students participate in during recess and lunch breaks in NSW, Australia. Regarding percentage of PA intensity during recess and lunch, our main findings were that students spent the majority of their recess and lunch breaks engaged in sedentary activities. Students only spent around 17% of their recess and lunch breaks engaged in VPA and 37% of their time walking. These findings are comparable to the findings of other playground studies. The SOPLAY(System for Observing Play and Leisure Activity in Youth) [
16] data from the Janssen et al.’s (2013) study conducted in the Netherlands [
17] reported that primary school children in the control group were engaged in moderate to vigorous physical activity for 38.7% of recess and lunch breaks. In Australia, Willenberg and colleagues
18 also used SOPLAY, with the percentage of children participating in sedentary, moderate and vigorous activity being 44%, 30% and 27%, respectively, during recess and lunch breaks. These direct observation results are comparable with the behaviour patterns observed in this study.
When examining the data by sex, girls’ spent half the amount of time engaged in VPA (11%) when compared with boys (22%). There was also a gender difference in the percentage of recess and lunch breaks spent in sedentary activities (girls 53%; boys 41%). Whilst conducted in another Australian capital city, Willenberg et al. [
18] reported a comparable difference in gender-based %VPA (Boys = 32%; Girls = 22%) and sedentary activities (Boys 39%; Girls 49%) during recess and lunch breaks.
The findings of a discrepancy in the intensity of PA between boys and girls at recess and lunch are clear and worthy of further investigation. Blatchford et el [
19] argues that the ‘social’ dynamic of the playground may influence a child’s capacity to engage in more VPA. According to Blatchford and colleagues [
19], the school playground is an important social setting, especially for boys. In this study, 582 observations of VPA during recess and lunch breaks, exclusively came from team sport participation (i.e. basketball, rugby/touch, or soccer) (
n = 267) in which boys participated more frequently and in greater intensity. However, apart from the participation rates, the differences in intensity were only significant in basketball (
p < 0.01). Future interventions may benefit from investigating the participation in team sports during recess and lunch breaks and providing spaces for these activities to be conducted.
This study also shows that a small number of girls were, at some point, involved in ball games such as rugby/touch football and basketball. However, girls were more likely to engage in tag/chasing games or aerobics/dance activities than boys. These are games where students are less likely to bump into each other or have boys dominate the activity or intensity. So although there were certainly some girls interested in football and basketball, other girls enjoyed playing other kinds of games with less physical collision (and less PA intensity). Given the opportunity, girls may participate in ball games, but might well avoid others that involve physical collisions or boy domination (i.e. football) [
19].
Another explanation for the lack of %VPA during recess and lunch by girls may be associated with the requirement for all children at these schools to wear school uniforms. School uniforms have been explained by a small number of quantitative and a larger number of qualitative studies which have shown that having to wear tight, ill-fitting, gender stereotyped or uncomfortable uniforms were major barriers to girls participating in school-based physical activity [
20‐
22] and also may affect physical self-esteem[
22]. As such, Dudley and colleagues
20 recommended that schools policy makers reconsider the daily uniform students are required to wear if they are going to engage with physical education and participate in regular school-based PA.
It has also been proposed in the literature that differences in physical activity participation between boys and girls are more apparent in unstructured setting environments (such as recess and lunch breaks at school) [
23]. Our study supports for this finding and therefore suggests that primary school recess and lunch breaks are a particularly important setting for investigating why these discrepancies exist, which is highlighted as we know differences in fundamental movement skills performance and physical activity participation between the sexes widen as they move into adolescence[
24]. During primary school skill differences are generally determined by contextual rather than physiological factors[
25], hence cultural and environmental factors of a primary school playground may be inhibiting PA intensity of girls compared with boys [
26].
Grassed areas were more conducive to %VPA with twice as much %VPA occurring in those areas when compared with hard surfaced areas during recess and lunch breaks. These findings are new and in stark contrast to other Australian playground studies. Willenberg et al.
18 reported no statistical difference between %VPA on hard and soft surfaces (29%; 27% respectively). These findings indicate that there are perhaps differences in school policy in NSW and Victoria around play in these areas. An explanation for this behaviour pattern could be attributed to play experiences in NSW primary schools being limited for many children due to excessive fear of risk, teacher encouragement or ‘surplus safety’[
27] policies compared with Victorian primary schools. There is an increasing body of evidence to suggest safety-related policies regarding school playground behaviour and the role teachers take in enforcing or encouraging behaviour will restrict or enhance the quantity and intensity of PA children undertake during recess and lunch breaks [
27].
Contrary to previous research conducted in Australia [
12,
18], we found no significant or meaningful relationships between temperature, school socio-economic status, or time of day with the %VPA students engage in during recess and lunch breaks. In terms of temperature, this may be that there was in fact little variation (approximately 10 degrees centigrade) at any given data collection point where previous studies conducted more seasonally based analysis where temperature variation would be greater. To our knowledge, this is the first study that has used the ICSEA scale as a proxy of school socio economic status in an analysis of recess and lunch break physical activity free of intervention. It may be that the lack of sensitivity of ICSEA and iSOPARC to detect specific individual physical activity patterns and their socio-economic status that make this analysis incongruent. Time of day analysis based on this study appears to also be irrelevant.
There are some strengths and limitations associated with the use of the iSOPARC method when measuring intensity of PA in children in schools settings. The first limitation is that iSOPARC requires the observer to conduct scans of the observation area and code the intensity type in quick succession. The dynamic nature of children in a school playground wearing similar uniforms means that the possibility of double coding an individual may occur. This limitation is exacerbated with larger observation areas and more students. A second limitation is the ability of the iSOPARC application to replicate multiple site settings across tablet devices. These currently need to be done individually and thus risk potential data entry error. However, these limitations were offset by the fact that iSOPARC assisted researchers by providing a reliable, efficient and user-friendly means of data collection. Other limitations of the iSOPARC data were its inability to provide accurate estimates of moderate to vigorous PA which make comparisons to some national guidelines difficult. For this reason, we focussed specially on VPA which in turn may be perceived by some as limitation to generalizability. Finally, the inability to control the periods of time spent in recess and lunch breaks made comparable analysis of minutes spent in PA impossible.