Sleep and BMI in South African urban and rural, high and low-income preschool children.

BACKGROUND: The extent to which income setting or rural and urban environments modify the association between sleep and obesity in young children is unclear. The aims of this cross-sectional observational study were to (i) describe and compare sleep in South African preschool children from rural low-income (RL), urban low-income (UL) and urban high-income (UH) settings; and (ii) test for associations between sleep parameters and body mass index (BMI). METHODS: Participants were preschoolers (5.2 ± 0.7y, 49.5% boys) from RL (n = 111), UL (n = 65) and UH (n = 22) settings. Height and weight were measured. Sleep, sedentary behaviour and physical activity were assessed using accelerometery. RESULTS: UL children had higher BMI z-scores (median: 0.39; interquartile range: - 0.27, 0.99) than the UH (- 0.38; - 0.88, 0.11) and RL (- 0.08; - 0.83, 0.53) children (p = 0.001). The UL children had later bedtimes (p < 0.001) and wake-up times (p < 0.001) and shorter 24 h (p < 0.001) and nocturnal (p < 0.001) sleep durations than the RL and UH children. After adjusting for age, sex, setting, SB and PA, for every hour less sleep obtained (24 h and nocturnal), children were 2.28 (95% CI: 1.28-4.35) and 2.22 (95% CI: 1.27-3.85) more likely, respectively, to belong to a higher BMI z-score quartile. CONCLUSIONS: Shorter sleep is associated with a higher BMI z-score in South African preschoolers, despite high levels of PA, with UL children appearing to be particularly vulnerable.

Volume and accumulation patterns of physical activity and sedentary time: longitudinal changes and tracking from early to late childhood.

BACKGROUND: Physical activity (PA) decreases and sedentary time (SED) increases across childhood, with both behaviours tracking. However, no studies have examined how accumulation patterns of PA and SED (i.e., prolonged bouts, frequency of breaks in sedentary time) change and track over time. The aim of this study was to investigate longitudinal changes in and tracking of total volume and accumulation patterns of SED, light-intensity PA (LPA), moderate-intensity PA (MPA), vigorous-intensity PA (VPA) among boys and girls. METHODS: In 2008/09 (T1), children in HAPPY (3-5y; n = 758) in Melbourne, Australia wore ActiGraph GT1M accelerometers to objectively assess SED, LPA, MPA and VPA. This was repeated at age 6-8y (T2; n = 473) and 9-11y (T3; n = 478). Ten pattern variables were computed: bouts of ≥ 5-, ≥ 10-, ≥ 15- and ≥ 20-min for SED, ≥ 1- and ≥ 5-min for LPA, ≥ 1-min for MPA, ≥ 1- and ≥ 5-min for VPA, and breaks in SED (interruptions of > 25 counts 15 s- 1). Longitudinal mixed models examined changes from T1-3, controlling for T1 age. Generalized estimating equations assessed tracking over the three time points, controlling for T1 age and time between measurements. Analyses were stratified by sex. RESULTS: Total volume and bouts of SED and SED breaks increased, while total volume and bouts of LPA decreased for both sexes. There was a small decrease in total volume of MPA for girls, but time spent in ≥ 1-min bouts increased for both sexes. Total volume of VPA increased for both sexes, with time spent in ≥ 1-min bouts increasing for boys only. All volume and pattern variables tracked moderately for boys, except for all SED bouts ≥ 15-min, LPA bouts ≥ 5-min and MPA bouts ≥ 1-min (which tracked weakly). For girls, total SED and SED bouts ≥ 1-min tracked strongly, total volume of LPA, MPA and VPA, ≥ 5- and ≥ 10-min SED bouts, and ≥ 1-min LPA and MPA bouts tracked moderately, and SED breaks, all SED bouts ≥ 15 min, LPA bouts ≥ 5 min and all VPA bouts tracked weakly. CONCLUSIONS: Patterns of SED and PA change from early to late childhood; with the exception of SED breaks and VPA, changes were detrimental. Total volumes and short bouts tended to track more strongly than longer bouts. Interventions to prevent declines in PA and increases in SED are important from early in life.

Screen Time and Sleep of Rural and Urban South African Preschool Children.

This study aimed to investigate the extent to which preschool children meet guidelines for screen time (<1 h/day) and sleep (10-13 h/24-h) and explored home factors that affect these behaviors. Parents of preschoolers across income settings in South Africa (urban high-income n = 27, urban low-income n = 96 and rural low-income n = 142) completed a questionnaire. Urban high-income children had higher rates of exceeding screen time guidelines (67.0%) than children from urban low-income (26.0%) and rural low-income (3.5%) settings. Most children (81.0%) met sleep guidelines on weekdays and on weekends (75.0%). More urban high-income children met the sleep guideline, in comparison to both low-income settings. Fewer urban high-income parents (50.0%) thought that screen time would not affect their preschooler's health, compared to urban low-income (90.4%) and rural low-income (81.7%) parents. Weeknight bedtime was positively correlated with both weekday screen time (p = 0.001) and weekday TV time (p = 0.005), indicating that more time on screens correlated with later bedtimes. Meeting screen time and sleep guidelines differs across income settings, but it is evident that parents of preschoolers across all income settings would benefit from greater awareness about guidelines.

Conceptualising and testing the relationship between actual and perceived motor performance: A cross-cultural comparison in children from Australia and Germany.

Previous studies investigating the relationship between motor skill, physical activity and fitness in children have not thoroughly considered the role of self-perception. Therefore, the study aim was to test a theoretical framework, which considered both actual and perceived motor skill as well as actual and perceived fitness. Potential moderating effects of sex and country were considered. Data on motor skill, fitness, as well as self-perception of motor skill and fitness were collected from 145 Australian children and 214 German children (age range 7 to 10 years). For actual motor skill and fitness, mean differences for sex, age and country were found. For perceived motor performance (perceived motor skill and perceived fitness) no mean differences were found for age. Path analyses were performed. The final model showed significant relations between actual performance (object control skill, fitness) and perceived performance (object control skill, fitness). All model paths had low to moderate regression weights with the lowest relationship reported between actual and perceived fitness. Sex and country showed no effects. This integrated approach has led to a better understanding of the relationship between children's perceived and objective performance, and cultural differences within them.

Objectively Measured Physical Activity in South African Children Attending Preschool and Grade R: Volume, Patterns, and Meeting Guidelines.

PURPOSE: To assess physical activity (PA) and determine the proportion of preschoolers meeting PA recommendations in different income settings in South Africa. METHODS: Preschoolers from urban high-income (UH), urban low-income (UL), and rural low-income (RL) settings wore an ActiGraph GT3X+ accelerometer for 7 days. PA variables of interest included volume moderate- to vigorous-intensity PA (MVPA) and total PA (light- to vigorous-intensity PA), hourly PA patterns, and percentage of children meeting guidelines (180 min/d of total PA, inclusive of 60 min/d of MVPA). Between-sex differences were assessed using t tests and Mann-Whitney U tests; between-setting differences assessed using 1-way analyses of variance and Kruskal-Wallis tests. RESULTS: For all children (n = 229, aged 5.17 [0.69] y), average MVPA was 124.4 (37.5) minutes per day and total PA was 457.0 (61.1) minutes per day; 96.9% of children met guidelines. Boys did significantly more MVPA than girls (136.7 [39.37] vs 111.5 [30.70] min/d, P < .001), and UH preschoolers were significantly less active than UL and RL preschoolers (UH 409.1 [48.4] vs UL 471.1 [55.6] and RL 461.6 [61.4], P < .001). CONCLUSION: In both practice and research, it is necessary to explore ways to ensure that South African preschoolers from all income settings continue to engage in and benefit from healthy volumes of PA. This is especially important as preschoolers transition to a formal school environment.

Prospective associations with physiological, psychosocial and educational outcomes of meeting Australian 24-Hour Movement Guidelines for the Early Years.

BACKGROUND: Several countries have released movement guidelines for children under 5 that incorporate guidelines for sleep, physical activity and sedentary behavior. This study examines prospective associations of preschool children's compliance with the 24-Hour Australian movement guidelines (sleep, physical activity, screen time) and physiological, psychosocial and educational outcomes during primary school. METHODS: Data were from the Healthy Active Preschool and Primary Years Study (Melbourne, Australia; n = 471; 3-5 years; 2008/9). Follow-ups occurred at 3 (2011/12; 6-8 years), 6 (2014/15; 9-11 years) and 7 (2016; 10-12 years) years post baseline. Multiple regression models assessed associations between compliance with guidelines at baseline and later outcomes. RESULTS: Children were 4.6 years at baseline (53% boys; 62% high socio-economic families). Most children met physical activity (89%) and sleep (93%) guidelines; 23% met screen-time guidelines; and 20% met all guidelines at baseline. Meeting all of the three guidelines was associated with lower BMI z-scores at 9-11 years of age (b = - 0.26, 95%CI -0.47, - 0.05). Meeting physical activity guidelines was associated with higher total body bone mineral density (b = 0.64, 95%CI 0.15, 1.13), and total body bone mineral content (b = 183.19, 95%CI 69.92, 296.46) at 10-12 years of age. Meeting sleep guidelines was associated with better reading (b = 37.60, 95%CI 6.74, 68.46), spelling (b = 34.95, 95%CI 6.65, 63.25), numeracy (b = 39.09, 95%CI 11.75, 66.44), language (b = 44.31, 95%CI 11.77, 76.85) and writing (b = 25.93, 95%CI 0.30, 51.57) at 8-9 years of age. No associations were evident for compliance with screen-time guidelines or for psychosocial outcomes. CONCLUSIONS: Compliance with different movement behavior guidelines was associated with different outcomes. Strategies to support children in meeting all of the guidelines are warranted to maximize health and educational outcomes. Future research investigating dose-response associations, and potential mechanisms, is necessary.

'Jump start' childcare-based intervention to promote physical activity in pre-schoolers: six-month findings from a cluster randomised trial.

BACKGROUND: Participation in adequate levels of physical activity during the early years is important for health and development. We report the 6-month effects of an 18-month multicomponent intervention on physical activity in early childhood education and care (ECEC) settings in low-income communities. METHODS: A cluster randomised controlled trial was conducted in 43 ECEC settings in disadvantaged areas of New South Wales, Australia. Three-year-old children were recruited and assessed in the first half of 2015 with follow-up 6 months later. The intervention was guided by Social Cognitive Theory and included five components. The primary outcome was minutes per hour in total physical activity during ECEC hours measured using Actigraph accelerometers. Intention-to-treat analysis of the primary outcome was conducted using a generalized linear mixed model. RESULTS: A total of 658 children were assessed at baseline. Of these, 558 (85%) had valid accelerometer data (mean age 3.38y, 52% boys) and 508 (77%) had valid accelerometry data at 6-month follow-up. Implementation of the intervention components ranged from 38 to 72%. There were no significant intervention effects on mins/hr. spent in physical activity (adjusted difference = - 0.17 mins/hr., 95% CI (- 1.30 to 0.97), p = 0.78). A priori sub-group analyses showed a greater effect among overweight/obese children in the control group compared with the intervention group for mins/hr. of physical activity (2.35mins/hr., [0.28 to 4.43], p = 0.036). CONCLUSIONS: After six-months the Jump Start intervention had no effect on physical activity levels during ECEC. This was largely due to low levels of implementation. Increasing fidelity may result in higher levels of physical activity when outcomes are assessed at 18-months. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12614000597695.

Are children with higher self-reported wellbeing and perceived motor competence more physically active? A longitudinal study.

OBJECTIVES: Self-perceptions such as perceived motor competence and psychosocial wellbeing have been identified as important to children's physical activity. The study's purpose was to explore whether perceived motor competence and psychosocial wellbeing were determinants of physical activity, one year after a baseline assessment. DESIGN: Longitudinal study. METHODS: A total of 134 children (65.7% boys, 34.3% girls) aged 6-7 years at baseline (2016), and 7-8 years at follow-up (2017) were included in this study. Pearson's correlations assessed associations at baseline and follow-up between moderate- to vigorous-intensity physical activity (MVPA) (accelerometers) and (i) total perceived motor competence and subdomains (the pictorial scale of Perceived Movement Skill Competence) and (ii) psychosocial wellbeing and sub-domains - KidKINDL KINDer Lebensqualitätsfragebogen: Children Quality of Life Questionnaire (KINDLR). Variables identified as significant in Pearson's correlations were included in mixed model analyses, adjusting for accelerometer wear time, sex and age. RESULTS: Baseline perceived object control skills was associated with MVPA at follow-up (r=0.38, p<0.001), but perceived locomotor skills were not. Self-esteem was the only subdomain of psychosocial wellbeing that demonstrated significant association with MVPA at baseline (r=0.21, p<0.05). Perceived object control (B=1.36, p=0.019, 95% CI [0.23, 2.50]) and self-esteem (B=0.32, p=0.001, 95% CI [0.13, 0.50]) positively predicted MVPA; albeit with small effects. CONCLUSIONS: Focusing on improving children's perceived object control and self-reported self-esteem may contribute to children's physical activity participation.

Physical activity in early childhood education and care settings in a low-income, rural South African community: an observational study.

INTRODUCTION: Research has not been conducted on physical activity in early child education and care (ECEC) settings in low-income, rural communities in South Africa. This study aimed to describe the physical activity environment of these settings and identify child and contextual factors associated with physical activity in these settings. By understanding physical activity in this environment, it will be possible to identify context-specific opportunities, including with teachers, to overcome potential challenges and maximise physical activity in a low- and middle-income country setting. METHODS: The study was conducted in rural Bushbuckridge, Mpumalanga in 2014. Preschool-aged children (n=55) were recruited from five ECEC settings, including three preschools and two primary schools, where preschool-aged children are in their reception year, grade R. Preschool environment characteristics were assessed using an observational tool adapted from existing tools. Children's physical activity was assessed using the Observational System for Recording Physical Activity in Children - Preschool Version. Differences between preschool and grade R settings were assessed using χ2 analyses, and multinomial logistic regression analysis was used to determine factors associated with physical activity in the ECEC settings. RESULTS: The physical activity environment differed between preschool and grade R ECEC settings in terms of space (preschoolpgrade R, p<0.001). On average, children spent 28.7% of their day in the ECEC settings engaged in physical activity, of which 22.3% was moderate- to vigorous-intensity physical activity (MVPA). Children spent the greatest proportion of the day in sedentary activities (69.9%) and this differed significantly between preschool (63.2%) and grade R children (81.3%, p<0.001). Preschool children were significantly more active than grade R children, and spent greater proportions of time in light-intensity physical activity (8.6% v 2.7%, p<0.001) and MVPA (25.4% v 15.3%, p<0.001). Irrespective of ECEC setting, children were significantly more likely to participate in MVPA if they were outdoors (p=0.001), and significantly less likely to do MVPA if they were overweight/obese (p=0.006). CONCLUSION: These findings provide insight into child-level and contextual factors associated with preschool-aged children's physical activity within ECEC settings in a low-income, rural community in South Africa. Particularly, the physical and social features of ECEC settings are important in the promotion of physical activity. Findings from this study suggest that it is necessary to upskill and encourage teachers in ECEC settings to maximise opportunities for physical activity in rural low-income communities in South Africa.

Sitting and Screen Time Outside School Hours: Correlates in 6- to 8-Year-Old Children.

BACKGROUND: Although there is increasing evidence regarding children's screen time, little is known about children's sitting. This study aimed to determine the correlates of screen time and sitting in 6- to 8-year-old children. METHODS: In 2011-2012, parents in the Healthy Active Preschool and Primary Years (HAPPY) study (n = 498) reported their child's week/weekend day recreational screen time and potential correlates. ActivPALs™ measured children's nonschool sitting. In model 1, linear regression analyses were performed, stratified by sex and week/weekend day and controlling for age, clustered recruitment, and activPAL™ wear time (for sitting analyses). Correlates significantly associated with screen time or sitting (P < .05) were included in model 2. RESULTS: Children (age 7.6 y) spent 99.6 and 119.3 minutes per day on week and weekend days engaging in screen time and sat for 119.3 and 374.6 minutes per day on week and weekend days, respectively. There were no common correlates for the 2 behaviors. Correlates largely differed by sex and week/weekend day. Modifiable correlates of screen time included television in the child's bedroom and parental logistic support for, encouragement of, and coparticipation in screen time. Modifiable correlates of sitting included encouragement of and coparticipation in physical activity and provision of toys/equipment for physical activity. CONCLUSIONS: Interventions may benefit from including a range of strategies to ensure that all identified correlates are targeted.

Associations between organised sport participation and classroom behaviour outcomes among primary school-aged children.

INTRODUCTION: Physical activity is positively associated with children's classroom behaviour. However, less is known about how different types of physical activity contribute to these outcomes. This study examines associations between sport participation and classroom behaviour among primary school-aged children. METHODS: Parents of 568 children aged 9-11 years reported child sport participation and classroom behaviour outcomes (school functioning, inattention, classroom behaviour (fidgetiness), acting without thinking and poor concentration). Sport participation included: duration (hours/week) and type (individual; team; team and individual). Regression analyses assessed associations between sport participation and classroom behaviour outcomes. Analyses adjusted for maternal education, and objectively-measured overall physical activity, and accounted for clustering by recruitment centre. Sex differences in associations were explored as a secondary aim. RESULTS: In comparison to children who did not participate in sport, children who participated in sport displayed less inattention/hyperactivity (individual sport: B = -1.00;95%CI:-1.90, -0.00; team sport:-0.88;95%CI:-1.73, -0.03) and less acting without thinking (individual sport: OR = 0.35;95%CI:0.13,0.98), after adjusting for overall physical activity. There were no sex differences in associations. CONCLUSIONS: Findings indicated sport participation, one form of physical activity, was associated with less inattention/hyperactivity and acting without thinking, over and above the influence of overall physical activity levels. Parents may consider sport as one way to contribute to their child's overall physical activity levels, although the impact of organised sport on classroom behaviour is modest at best.

Physical activity and sedentary behavior across three time-points and associations with social skills in early childhood.

BACKGROUND: The growth and development that occurs in early childhood has long-term implications, therefore understanding the relevant determinants is needed to inform early prevention and intervention. The objectives of the study were to examine: 1) the longitudinal associations of physical activity and sedentary behavior with social skills and 2) how physical activity and sedentary behavior track over three time-points. METHODS: Participants were from the Parents' Role in Establishing healthy Physical activity and Sedentary behavior habits (PREPS) project. A total of 251 eligible toddlers and their parents participated at baseline in 2014/15 (time 1; 1.6 ± 0.2 years) and a sub-sample participated at 1-year (time 2; n = 79; 2.7 ± 0.3 years) and 2-year (time 3; n = 77; 3.7 ± 0.4 years) follow-ups. Sedentary time (≤25 counts/15 s), light-intensity physical activity (LPA; 26-419 counts/15 s), and moderate- to vigorous-intensity physical activity (MVPA; ≥420/15 s) were objectively measured with wGT3X-BT ActiGraph accelerometers, and standardized for wear time. Parents reported their children's screen time (television/video, video/computer games) at all three time-points. Parents also reported on children's social skills using the Adaptive Social Behavior Inventory (ASBI) at time-points 2 and 3, and comply (e.g., cooperates; 10 items), express (e.g., joins play; 13 items), and disrupt (e.g., teases; 7 items) subscales were created by summing items. Generalized estimating equations (GEE) were conducted to address objective one. Tracking coefficients (low: ß1 < 0.30; moderate: ß1 = 0.30-0.59; moderate-high: ß1 = 0.60-0.90; high: ß1 > 0.9) were conducted using GEE to address objective two. RESULTS: Across the study, screen time was negatively associated with express (b = - 0.068, 95%CI: -0.114, - 0.023) and comply (b = - 0.056; 95%CI: -0.094, - 0.018) scores and positively associated with disrupt scores (b = 0.004; 95% CI: 0.001, 0.006). Findings were similar for television/videos but less consistent for video/computer games. No associations were observed for physical activity. Screen time significantly tracked at moderate-high levels (ß1 = 0.63; 95% CI: 0.45, 0.81), while all other behaviors tracked at moderate levels (ß1 = 0.35-0.49; p < 0.01) over the three time-points. CONCLUSIONS: Screen time was unfavorably associated with social skills across early childhood. Furthermore, all behaviors tracked at moderate to moderate-high levels from toddler to preschool ages. Therefore, promoting healthy physical activity and sedentary behavior patterns early in life, especially for screen time, may be important.

Cross-sectional associations of physical activity and gross motor proficiency with adiposity in South African children of pre-school age.

OBJECTIVE: The study aimed to investigate the relationship between physical activity, gross motor skills and adiposity in South African children of pre-school age. DESIGN: Cross-sectional study. SETTING: High-income urban, and low-income urban and rural settings in South Africa. PARTICIPANTS: Children (3-6 years old, n 268) were recruited from urban high-income (n 46), urban low-income (n 91) and rural low-income (n 122) settings. Height and weight were measured to calculate the main outcome variables: BMI and BMI-for-age Z-score (BAZ). Height-for-age and weight-for-age Z-scores were also calculated. Actigraph GT3X+ accelerometers were used to objectively measure physical activity; the Test of Gross Motor Development (Version 2) was used to assess gross motor skills. RESULTS: More children were overweight/obese and had a higher BAZ from urban low-income settings compared with urban high-income settings and rural low-income settings. Being less physically active was associated with thinness, but not overweight/obesity. Time spent in physical activity at moderate and vigorous intensities was positively associated with BMI and BAZ. Gross motor proficiency was not associated with adiposity in this sample. CONCLUSIONS: The findings of this research highlight the need for obesity prevention particularly in urban low-income settings, as well as the need to take into consideration the complexity of the relationship between adiposity, physical activity and gross motor skills in South African pre-school children.

Mothers' and father's perceptions of the risks and benefits of screen time and physical activity during early childhood: a qualitative study.

BACKGROUND: This study sought to explore mothers' and fathers' perceptions of the risks and benefits of screen time and active play during early childhood. METHODS: In-depth semi structured telephone interviews were conducted with mothers and fathers (n = 28) of children aged 3-5 years who had earlier taken part in a larger quantitative study in Australia and identified willingness to be re-contacted were recruited. Interviews were audio recorded, transcribed verbatim, and analysed using NviVo. Coding was performed to produce themes. Quotes were extracted from the transcripts to illustrate common responses. COREQ guidelines for qualitative papers were followed. RESULTS: Parents reported active play was beneficial for many health and developmental outcomes such as imagination, enjoyment and socialisation, while reporting risks such as safety and stranger danger. There were mixed perceptions of screen time, with benefits such as learning, education and relaxation, and risks including habit formation, inappropriate content, negative cognitive and social outcome, and detriments to health being reported. A few differences between mothers' and fathers' perceptions were evident. CONCLUSION: This study identified that some parental perceptions of benefits and risks of screen time and active play were consistent with published evidence, while others were contradicted by current evidence. Future studies should consider evidence-based education to ensure parents are aware of evidence-based outcomes of children's behaviours. Interventions may wish to capitalise on parents perceived benefits to enhance engagement.

A comparison of parent report and actual motor competence in young children.

BACKGROUND/AIM: Parent proxy reports are well used in occupational therapy, yet historically parent report instruments of motor skill have not required parents to report on the same motor skills that their children are assessed on. The aim was to examine how well a parent report of children's fundamental movement skill (FMS) was associated with children's actual FMS. METHOD: A sample of 100 children aged 7-9 years from Melbourne, Australia, were recruited. Parents/guardians completed proxy report (parent version of the 'Pictorial Scale of Perceived Movement Skill Competence' (PMSC)) and children's actual motor skills were assessed ('Test of Gross Motor Development' 3rd edition (TGMD-3)). Data were first analysed using Pearson's correlation coefficients and then hierarchical linear stepwise regression was conducted with actual skill as the outcome variable in each model. RESULTS: The PMSC-Parent (r = 0.36, P < 0.001) was moderately associated with children's actual skill. After age and sex adjustment, the PMSC-Parent explained 11.4% of variance in total skills. Parent report of their children's object control scores (PMSC object control scale) was significantly associated with children's actual object control (B = 0.36, P < 0.001) and explained 11.3% of the variance. Parent report of children's locomotion scores (PMSC locomotion scale) was associated with children's actual locomotor skills (B = 0.27, P = 0.007) and explained 6.2% of the variance. CONCLUSION: Parents are able to report to some degree on their children's FMS competency, in particular, their object control competence. Parent proxy report of FMS may help inform occupational therapists to identify children with low FMS competency to develop interventions targeting FMS.

Cross sectional associations of screen time and outdoor play with social skills in preschool children.

Screen time and physical activity behaviours develop during the crucial early childhood period (0-5 years) and impact multiple health and developmental outcomes, including psychosocial wellbeing. Social skills, one component of psychosocial wellbeing, are vital for children's school readiness and future mental health. This study investigates potential associations of screen time and outdoor play (as a proxy for physical activity) with social skills. Cross sectional data were available for 575 mothers with a child (54% boys) aged 2-5 years. Mothers reported their child's screen time, outdoor play time and social skills (Adaptive Social Behavior Inventory; ASBI). Multiple linear regression analyses assessed associations of screen and outdoor play time (Model 1) and compliance with screen time and physical activity recommendations (Model 2) with three ASBI subscales. Boys and girls spent a mean of 2.0 and 2.2 hours per day in screen time, and 3.3 and 2.9 hours per day in outdoor play, respectively. Girls scores for express and comply skills were significantly higher than boys (p<0.005). After applying the Benjamini-Hochberg Procedure to adjust for multiple associations, children's television/DVD/video viewing was inversely associated with their compliant scores (B = -0.35 95% CI -0.26, -0.14; p = 0.001) and outdoor play time was positively associated with both expressive (B = 0.20 95% CI 0.07, 0.34; p = 0.004) and compliant (B = 0.22 95% CI 0.08, 0.36; p = 0.002) scores. Findings indicate that television/DVD/video viewing may be adversely, and outdoor play favourably, associated with preschool children's social skills. Future research is required to identify the direction of causation and explore potential mechanisms of association.

Interventions to reduce sedentary behaviour in 0-5-year-olds: a systematic review and meta-analysis of randomised controlled trials.

AIM OR OBJECTIVE: To evaluate the effectiveness of behavioural interventions that report sedentary behaviour outcomes during early childhood. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Academic Search Complete, CINAHL Complete, Global Health, MEDLINE Complete, PsycINFO, SPORTDiscus with Full Text and EMBASE electronic databases were searched in March 2016. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Inclusion criteria were: (1) published in a peer-reviewed English language journal; (2) sedentary behaviour outcomes reported; (3) randomised controlled trial (RCT) study design; and (4) participants were children with a mean age of ≤5.9 years and not yet attending primary/elementary school at postintervention. RESULTS: 31 studies were included in the systematic review and 17 studies in the meta-analysis. The overall mean difference in screen time outcomes between groups was -17.12 (95% CI -28.82 to -5.42) min/day with a significant overall intervention effect (Z=2.87, p=0.004). The overall mean difference in sedentary time between groups was -18.91 (95% CI -33.31 to -4.51) min/day with a significant overall intervention effect (Z=2.57, p=0.01). Subgroup analyses suggest that for screen time, interventions of ≥6 months duration and those conducted in a community-based setting are most effective. For sedentary time, interventions targeting physical activity (and reporting changes in sedentary time) are more effective than those directly targeting sedentary time. SUMMARY/CONCLUSIONS: Despite heterogeneity in study methods and results, overall interventions to reduce sedentary behaviour in early childhood show significant reductions, suggesting that this may be an opportune time to intervene. TRIAL REGISTRATION NUMBER: CRD42015017090.

Feasibility and Efficacy of a Parent-Focused, Text Message-Delivered Intervention to Reduce Sedentary Behavior in 2- to 4-Year-Old Children (Mini Movers): Pilot Randomized Controlled Trial.

BACKGROUND: Despite public health guidelines to limit sedentary behavior, many young children spend large amounts of time sedentary (eg, screen and sitting time) during waking hours. OBJECTIVE: The objective of this study was to test the feasibility and efficacy of a parent-focused, predominantly text message-delivered intervention to support parents to reduce the amount of time their children spend in sedentary behavior. METHODS: Mini Movers was a pilot randomized controlled trial delivered to parents of 2- to 4-year-old children in Melbourne, Australia. Participants were recruited through playgroups, social media, and snowball sampling. Eligibility criteria were having an ambulatory child (2-4 years), English literacy, and smartphone ownership. Participants were randomized to intervention or wait-list control on a 1:1 ratio after baseline data collection. The 6-week intervention was predominantly delivered via text messages, using a Web-based bulk text message platform managed by the interventionist. Intervention strategies focused on increasing parental knowledge, building self-efficacy, setting goals, and providing reinforcement, and were underpinned by the Coventry, Aberdeen & London-Refined taxonomy of behavior change techniques and social cognitive theory. The primary outcome was intervention feasibility, measured by recruitment, retention, intervention delivery, and fidelity; process evaluation questionnaires; and qualitative interviews with a subsample of participants. Secondary outcomes were children's screen and restraint time (parent report), sitting time (parent report, activPAL), and potential mediators (parent report). Linear regression models were used to determine intervention effects on secondary outcomes, controlling for the child's sex and age and clustering by playgroup; effect sizes (Cohen's d) were calculated. RESULTS: A total of 57 participants (30 intervention; 27 wait-list control) were recruited, and retention was high (93%). Process evaluation results showed that the intervention was highly acceptable to parents. The majority of intervention components were reported to be useful and relevant. Compared with children in the control group, children in the intervention group had significantly less screen time postintervention (adjusted difference [95% CI]=-35.0 [-64.1 to -5.9] min/day; Cohen's d=0.82). All other measures of sedentary behavior were in the expected direction, with small to moderate effect sizes. CONCLUSIONS: Mini Movers was shown to be a feasible, acceptable, and efficacious pilot intervention for parents of young children, warranting a larger-scale randomized control trial. TRIAL REGISTRATION: Australian New Zealand Clinical Trials registry: ACTRN12616000628448; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?ACTRN=12616000628448p (Archived by WebCite at http://www.webcitation.org/ 6wZcA3cYM).

Wrist Acceleration Cut Points for Moderate-to-Vigorous Physical Activity in Youth.

PURPOSE: This study aimed to examine the validity of wrist acceleration cut points for classifying moderate (MPA), vigorous (VPA), and moderate-to-vigorous (MVPA) physical activity. METHODS: Fifty-seven children (5-12 yr) completed 15 semistructured activities. Three sets of wrist cut points (>192 mg, >250 mg, and >314 mg), previously developed using Euclidian norm minus one (ENMO192+), GENEActiv software (GENEA250+), and band-pass filter followed by Euclidian norm (BFEN314+), were evaluated against indirect calorimetry. Analyses included classification accuracy, equivalence testing, and Bland-Altman procedures. RESULTS: All cut points classified MPA, VPA, and MVPA with substantial accuracy (ENMO192+: κ = 0.72 [95% confidence interval = 0.72-0.73], MVPA: area under the receiver operating characteristic curve (ROC-AUC) = 0.85 [0.85-0.86]; GENEA250+: κ = 0.75 [0.74-0.76], MVPA: ROC-AUC = 0.85 [0.85-0.86]; BFEN314+: κ = 0.73 [0.72-0.74], MVPA: ROC-AUC = 0.86 [0.86-0.87]). BFEN314+ misclassified 19.7% non-MVPA epochs as MPA, whereas ENMO192+ and GENEA250+ misclassified 32.6% and 26.5% of MPA epochs as non-MVPA, respectively. Group estimates of MPA time were equivalent (P < 0.01) to indirect calorimetry for the BFEN314+ MPA cut point (mean bias = -1.5%, limits of agreement [LoA] = -57.5% to 60.6%), whereas estimates of MVPA time were equivalent (P < 0.01) to indirect calorimetry for the ENMO192+ (mean bias = -1.1%, LoA = -53.7% to 55.9%) and GENEA250+ (mean bias = 2.2%, LoA = -56.5% to 52.2%) cut points. Individual variability (LoA) was large for MPA (min: BFEN314+, -60.6% to 57.5%; max: GENEA250+, -42.0% to 104.1%), VPA (min: BFEN314+, -238.9% to 54.6%; max: ENMO192+, -244.5% to 127.4%), and MVPA (min: ENMO192+, -53.7% to 55.0%; max: BFEN314+, -83.9% to 25.3%). CONCLUSION: Wrist acceleration cut points misclassified a considerable proportion of non-MVPA and MVPA. Group-level estimates of MVPA were acceptable; however, error for individual-level prediction was larger.

A collaborative approach to adopting/adapting guidelines - The Australian 24-Hour Movement Guidelines for the early years (Birth to 5 years): an integration of physical activity, sedentary behavior, and sleep.

BACKGROUND: In 2017, the Australian Government funded the update of the National Physical Activity Recommendations for Children 0-5 years, with the intention that they be an integration of movement behaviours across the 24-h period. The benefit for Australia was that it could leverage research in Canada in the development of their 24-h guidelines for the early years. Concurrently, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group published a model to produce guidelines based on adoption, adaption and/or de novo development using the GRADE evidence-to-decision framework. Referred to as the GRADE-ADOLOPMENT approach, it allows guideline developers to follow a structured and transparent process in a more efficient manner, potentially avoiding the need to unnecessarily repeat costly tasks such as conducting systematic reviews. The purpose of this paper is to outline the process and outcomes for adapting the Canadian 24-Hour Movement Guidelines for the Early Years to develop the Australian 24-Hour Movement Guidelines for the Early Years guided by the GRADE-ADOLOPMENT framework. METHODS: The development process was guided by the GRADE-ADOLOPMENT approach. A Leadership Group and Consensus Panel were formed and existing credible guidelines identified. The draft Canadian 24-h integrated movement guidelines for the early years best met the criteria established by the Panel. These were evaluated based on the evidence in the GRADE tables, summaries of findings tables and draft recommendations from the Canadian Draft Guidelines. Updates to each of the Canadian systematic reviews were conducted and the Consensus Panel reviewed the evidence for each behaviour separately and made a decision to adopt or adapt the Canadian recommendations for each behaviour or create de novo recommendations. An online survey was then conducted (n = 302) along with five focus groups (n = 30) and five key informant interviews (n = 5) to obtain feedback from stakeholders on the draft guidelines. RESULTS: Based on the evidence from the Canadian systematic reviews and the updated systematic reviews in Australia, the Consensus Panel agreed to adopt the Canadian recommendations and, apart from some minor changes to the wording of good practice statements, keep the wording of the guidelines, preamble and title of the Canadian Guidelines. The Australian Guidelines provide evidence-informed recommendations for a healthy day (24-h), integrating physical activity, sedentary behaviour (including limits to screen time), and sleep for infants (<1 year), toddlers (1-2 years) and preschoolers (3-5 years). CONCLUSIONS: To our knowledge, this is only the second time the GRADE-ADOLOPMENT approach has been used. Following this approach, the judgments of the Australian Consensus Panel did not differ sufficiently to change the directions and strength of the recommendations and as such, the Canadian recommendations were adopted with very minor alterations. This allowed the Guidelines to be developed much faster and at lower cost. As such, we would recommend the GRADE-ADOLOPMENT approach, especially if a credible set of guidelines, with all supporting materials and developed using a transparent process, is available. Other countries may consider using this approach when developing and/or revising national movement guidelines.