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Purpose There is a paucity of global data on sedentary behavior during early childhood. The purpose of this study was to examine how device-measured sedentary behavior in young children differed across geographically, economically, and sociodemographically diverse populations, in an international sample. Methods This multinational, cross-sectional study included data from 1071 children 3-5 yr old from 19 countries, collected between 2018 and 2020 (pre-COVID). Sedentary behavior was measured for three consecutive days using activPAL accelerometers. Sedentary time, sedentary fragmentation, and seated transport duration were calculated. Linear mixed models were used to examine the differences in sedentary behavior variables between sex, country-level income groups, urban/rural settings, and population density. Results Children spent 56% (7.4 h) of their waking time sedentary. The longest average bout duration was 81.1 +/- 45.4 min, and an average of 61.1 +/- 50.1 min center dot d(-1) was spent in seated transport. Children from upper-middle-income and high-income countries spent a greater proportion of the day sedentary, accrued more sedentary bouts, had shorter breaks between sedentary bouts, and spent significantly more time in seated transport, compared with children from low-income and lower-middle-income countries. Sex and urban/rural residential setting were not associated with any outcomes. Higher population density was associated with several higher sedentary behavior measures. Conclusions These data advance our understanding of young childrens sedentary behavior patterns globally. Country income levels and population density appear to be stronger drivers of the observed differences, than sex or rural/urban residential setting., Funding Agencies|American Council on Exercise, USA; Beijing Health System High Level Talents Training Project, China; Biomedical Research Foundation, Dhaka, Bangladesh; Canadian Institutes of Health Research Planning and Dissemination Grant; Conselho Nacional de Pesquisa e Desenvolvimento Cientifico e Tecnologico CNPq Research; Department of National Planning and Monitoring, PNG Government; Early Start, University of Wollongong, Australia; Faculty of Health Sciences at the University of the Witwatersrand, Johannesburg, South Africa; Global Challenges Program, University of Wollongong, Australia; Harry Crossley Foundation, South Africa; National Health and Medical Research Council, Australia; NIH-International Research Training Grant; Pham Ngoc Thach University of Medicine, Vietnam; Research University Grant (GUP), Universiti Kebangsaan Malaysia; Sasakawa Sports Research Grant, Sasakawa Sports Foundation, Japan; Stella de Silva Research Grant, Sri Lanka College of Pediatricians, Sri Lanka; DST-NRF Centre for Excellence in Human Development at the University of Witwatersrand, Johannesburg, South Africa; International Society of Behavioral Nutrition and Physical Activity, Pioneers Program

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.

Background: In December 2018, the South African 24-hour movement guidelines for birth to 5 years were released. This article describes the process used to develop these guidelines. Methods: The Grading of Recommendations Assessment, Development, and Evaluation-ADOLOPMENT approach was followed, with some pragmatic adaptions, using the Australian guidelines for the early years as a starting point. A consensus panel, including stakeholders in early childhood development and academics, was formed to assist with the development process. Results: At a face-to-face meeting of the panel, global and local literatures were considered. Following this meeting, a first draft of the guidelines (including a preamble) was formulated. Further reviews of these drafts by the panel were done via e-mail, and a working draft was sent out for stakeholder consultation. The guidelines and preamble were amended based on stakeholder input, and an infographic was designed. Practical “tips” documents were also developed for caregivers of birth to 5-year-olds and early childhood development practitioners. The guidelines (and accompanying documents) were released at a launch event and disseminated through various media channels. Conclusions: These are the first movement guidelines for South African and the first such guidelines for this age group from a low- and middle-income country

Background: In December 2018, the South African 24-hour movement guidelines for birth to 5 years were released. This article describes the process used to develop these guidelines. Methods: The Grading of Recommendations Assessment, Development, and Evaluation-ADOLOPMENT approach was followed, with some pragmatic adaptions, using the Australian guidelines for the early years as a starting point. A consensus panel, including stakeholders in early childhood development and academics, was formed to assist with the development process. Results: At a face-to-face meeting of the panel, global and local literatures were considered. Following this meeting, a first draft of the guidelines (including a preamble) was formulated. Further reviews of these drafts by the panel were done via e-mail, and a working draft was sent out for stakeholder consultation. The guidelines and preamble were amended based on stakeholder input, and an infographic was designed. Practical "tips" documents were also developed for caregivers of birth to 5-year-olds and early childhood development practitioners. The guidelines (and accompanying documents) were released at a launch event and disseminated through various media channels. Conclusions: These are the first movement guidelines for South African and the first such guidelines for this age group from a low- and middle-income country.

Objective: The study aimed to investigate the relationship between physical activity, gross motor skills and adiposity in South African children of pm-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.

Background: Limited research reports on the relationship between body mass index (BMI) and physical activity (PA), sedentary behavior (SB), sleep, and gross motor skills (GMS) in low- and middle-income countries. The aim of this study was to (1) describe BMI, PA, SB, sleep duration, and GMS proficiency in South African preschool children and (2) identify relationships between variables. Methods: BMI, including z scores for height, weight, and BMI were determined. Seven-day PA, SB, and sleep were measured using accelerometry. GMS were assessed using the Test of Gross Motor Development (second edition). Associations were explored by comparing sleep, PA, SB, and GMS between BMI tertiles using the Kruskal–Wallis test. Results: Most (86%) children (n = 78, 50% boys) had a healthy BMI (15.7 [1.3] kg/m2). Children spent 560.5 (52.9) minutes per day in light- to vigorous-intensity PA and 90.9 (30.0) minutes per day in moderate- to vigorous-intensity PA; most (83%) met the current PA guideline. Nocturnal sleep duration was low (9.28 [0.80] h/d). Although daytime naps increased 24-hour sleep duration (10.17 [0.71] h/d), 38% were classified as short sleepers. Around half (54.9%) of participants complied with both PA and sleep guidelines. No associations between variables were found. Conclusion: Despite being lean, sufficiently active, and having adequate GMS, many children were short sleepers, highlighting a possible area for intervention.

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 x2 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 (preschoolgrade 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

Objectives: No studies have investigated gross motor skill (GMS) proficiency of preschool-aged children across different income settings in South Africa. Research from high-income countries suggests that children from low-income settings display poorer GMS proficiency compared to higher-income peers. This study aimed to (1) describe GMS proficiency of preschool-aged children in urban high-income (UH), urban low-income (UL) and rural low-income (RL) settings; and (2) explore differences in proficiency between income settings and sex. Design: Descriptive cross-sectional study. Methods: The Test of Gross Motor Development-Edition 2 (TGMD-2) was used to assess GMS. The TGMD-2 gross motor quotient, standardised scores and raw scores were used to describe proficiency. Results: GMS proficiency was assessed in n = 259 3-6-year-old children (n = 46 UH, n = 91 UL, n = 122 RL). Overall, 93% of the children were classified as having 'average' or better GMS. According to TGMD-2 standardised scores, the RL children performed significantly better than UH and UL children (p = 0.028 and p = 0.009, respectively). RL children were significantly more proficient than UH and UL children in the strike and horizontal jump when comparing raw scores. Overall, boys performed significantly better than girls in the strike, stationary dribble, kick and leap when comparing raw scores (all p < 0.001). Conclusions: This study reports high GMS proficiency in preschool-aged children across income settings in South Africa. The factors associated with higher GMS in low-income settings are not immediately obvious. Thus, future research should explore potential factors and identify opportunities to ensure that GMS proficiency is capitalised on as preschool-aged children enter formal schooling.

Purpose. The purpose of this research was to collect data to inform intervention strategies to optimise body composition in South African preschool children. Methods. Data were collected in urban and rural settings. Weight status, physical activity, and gross motor skill assessmentswere conducted with 341 3-6-year-old children, and 55 teachers and parents/caregivers participated in focus groups. Results. Overweight and obesity were a concern in low-income urban settings (14%), but levels of physical activity and gross motor skills were adequate across all settings. Focus group findings from urban and rural settings indicated that teachers would welcome input on leading activities to promote physical activity and gross motor skill development. Teachers and parents/caregivers were also positive about young children being physically active. Recommendations for potential intervention strategies include a teacher-training component, parent/child activitymornings, and a home-based component for parents/caregivers. Conclusion. The findings suggest that an intervention focussed on increasing physical activity and improving gross motor skills per se is largely not required but that contextually relevant physical activity and gross motor skills may still be useful for promoting healthy weight and a vehicle for engaging with teachers and parents/caregivers for promoting other child outcomes, such as cognitive development.