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Physical activity (PA) among children and adolescents is often reported by time segments centered around the school day, including before school. However, there is no consistent approach to defining the before-school segment, to accurately capture PA levels and facilitate synthesis of results across studies. Therefore, this study aimed to (a) examine how studies with children and adolescents have defined the before-school segment, and (b) compare adolescents’ before-school PA using various segment definitions. We conducted a systematic search and review of literature from six databases, and subsequently analyzed accelerometer data from Australia (n = 472, mean age 14.9 years, 40% male), to compare PA across five before-school definitions. Our review found 69 studies reporting before-school PA, 59 of which used device-based measures. Definitions ranged widely, but justifications were rarely reported. Our empirical comparison of definitions resulted in a range of participants meeting wear time criteria (≥3 days at >50% of segment length) from the latest-starting definition (30 min prior to school; n = 443) to the earliest-starting definition (6:00 a.m.–school start; n = 155), implying that for many participants, accelerometer wear was low in the early hours due to sleep or noncompliance. Statistically significant differences in light and moderate-to-vigorous PA (mean minutes/school day, proportion of segment length, and proportion of wear time) were found between definitions, indicating that before-school PA could potentially be underestimated depending on definition choice. We recommend that future studies clearly report and justify segment definition, apply segment-specific wear time criteria, and collect wake time data to enable individualized segment start times and minimize risk of data misclassification.

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 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.

Background:Little is known about the associations of preschoolers’ health behaviors with their later psychosocial wellbeing. This study investigates the association of 3- to 5-year-old children’s physical activity and electronic media use with their later social-emotional skills (6-8 years).Methods:Data were collected in 2008–2009 and 2011–2012 for the Healthy Active Preschool and Primary Years (HAPPY) Study in metropolitan Melbourne. Participants were a random subsample (n = 108) of the 567 children at follow-up. Physical activity was objectively measured using ActiGraph GT1M accelerometers; electronic media use (television viewing, sedentary electronic games and active electronic games) was parent proxy-reported. Social and emotional skills were child-reported using the Bar-On Emotional Quotient Inventory—Youth Version. Regression analyses controlled for sex, clustering by center of recruitment, and accelerometer wear time (for physical activity analyses).Results:Sedentary electronic games were positively associated with intrapersonal and stress management skills and total emotional quotient. Computer/internet use was inversely associated with interpersonal, and positively associated with stress management, skills.Conclusions:Findings suggest that physical activity is not associated with children’s psychosocial health while some types of electronic media use are. Future research should investigate the contexts in which preschoolers participate in these behaviors and potential causal mechanisms of associations.

Background:Parental modeling has been shown to be important for school-aged children’s physical activity (PA) and television (TV) viewing, yet little is known about its impact for younger children. This study examined cross-sectional and 3-year longitudinal associations between PA and TV viewing behaviors of parents and their preschool children.Methods:In 2008–2009 (T1), parents in the Healthy Active Preschool and Primary Years (HAPPY) cohort study (n = 450) in Melbourne, Australia, self-reported their weekly PA and TV viewing and proxy-reported their partner’s PA and TV viewing and their 3- to 5-year-old preschool child’s TV viewing. Children’s PA was assessed via accelerometers. Repeat data collection occurred in 2011–2012 (T2).Results:Mothers’ and fathers’ PAs were associated with PA among preschool girls at T1, but not boys. Parents’ TV viewing times were significant correlates of girls’ and boys’ TV viewing at T1. Longitudinally, mothers’ PA at baseline predicted boys’ PA at T2, whereas sex-specific associations were found for TV viewing, with mothers’ and fathers’ TV viewing at T1 associated with girls’ and boys’ TV viewing respectively at T2.Conclusions:The PA and TV viewing of both parents are significantly associated with these behaviors in preschool children. The influence of the sex-matched parent appears to be important longitudinally for children’s TV viewing.

This study aimed to determine whether associations between the perceived environment and physical activity are moderated by urban-rural status among midolder aged adults. Environmental (safety, aesthetics, physical activity environment) and physical activity (total, leisure, transport) data from 3,888 adults (55 to 65 years) from urban and rural areas of Victoria, Australia, were analyzed. Multinomial logistic regression examined interactions between urban-rural status and environments in associations with physical activity. Significant (P < .05) interactions were evident and indicated positive associations only among older rural adults for both safety and aesthetics with total and transport physical activity (e.g., rural adults reporting higher safety were 91% to 118% more likely to have higher activity than rural adults reporting low safety). In contrast, the physical activity environment was positively associated with leisure activity among only urban adults. Findings suggest that some tailoring of physical activity promotion strategies targeting the environment may be required for urban and rural midolder aged adults.

Background:This study aimed to examine cross-sectional and longitudinal associations between socioeconomic position (SEP) and physical activity and sedentary behaviors among children and adolescents.Methods:Maternal education was reported by parents of 184 children 5 to 6 years old and 358 children 10 to 12 years old in 2001. In 2001 and 2004, physical activity was assessed by accelerometry. Older children self-reported and parents of younger children proxy-reported physical activity and TV-viewing behaviors. Linear regression was used to predict physical activity and sedentary behaviors, and changes in these behaviors, from maternal education.Results:Among all children, accelerometer-determined and self- or parent-reported moderate and vigorous physical activity declined over 3 years. Girls of higher SEP demonstrated greater decreases in TV-viewing behaviors than those of low SEP. In general, no prospective associations were evident between SEP and objectively assessed physical activity. A small number of prospective associations were noted between SEP and self-reported physical activity, but these were generally weak and inconsistent in direction.Conclusions:This study did not find strong evidence that maternal education was cross-sectionally or longitudinally predictive of children’s physical activity or sedentary behaviors. Given the well-documented inverse relationship of SEP with physical activity levels in adult samples, the findings suggest that such disparities might emerge after adolescence.

Background:The purpose of this study was to examine associations between perceptions of neighborhood safety and physical activity among youth.Methods:We completed a cross-sectional study of children age 8 to 9 years (n = 188) and adolescents age 13 to 15 years (n = 346) in areas of varying socioeconomic status in Melbourne, Australia. Parents and adolescents completed questionnaires on perceptions of neighborhood safety. Scores were computed for perceptions of road safety, incivilities, and personal safety of the child or adolescent. Moderate-to-vigorous physical activity (MVPA) before or after school, on evenings, and on weekends was recorded using accelerometers.Results:There were no associations between parental perceptions of neighborhood safety and children’s MVPA outside school hours. Parental perception of personal safety was positively associated with adolescent boys’ MVPA after school. Adolescent girls’ concern about road safety was negatively associated with their MVPA during evenings and outside school hours.Conclusion:Perceptions of neighborhood safety might influence physical activity among youth in different ways according to age group and sex.

The aim of this study was to describe the type, frequency, duration, and intensity of children’s physical activity and to examine differences by sex, age, and SES. Participants consisted of 5- to 6-year-old (n = 291) and 10- to 12-year-old (n = 919) children and their parents taking part in the Children’s Leisure Activities Study (CLASS). Parents completed proxy questionnaires about their child’s activity, and all children wore an accelerometer for 8 days. Accelerometry data showed that younger children accumulated approximately 4 hrs of moderate- to vigorous-intensity physical activity (MVPA) per day, and older children accumulated approximately 2 hrs per day. Fewer than three- quarters of 10- to 12-year-old boys and less than half of 10- to 12-year-old girls recorded 120 min of MVPA per day. Significant differences in the number of activities, as well as the type and frequency of activities performed, were observed by age and sex. The findings indicate that physical activities that appeal to older girls, such as lifestyle, noncompetitive activities, should be considered in the development of physical activity promotion strategies.

Jockeys are required to maintain very low body weight and precise weight control during competition. This study examined the weight loss and weight management strategies of professional horseracing jockeys in the state of Victoria, Australia. An anonymous, self-completed questionnaire was administered (55% response rate, n=116). Almost half (43%) reported that maintaining riding weight was difficult or very difficult, with 75% routinely skipping meals. In preparation for racing, 60% reported that they typically required additional weight loss, with 81% restricting food intake in the 24 hours prior to racing. Additionally, sauna-induced sweating (29%) and diuretics (22%) were frequently employed to further aid in weight loss prior to racing. These rapid weight loss methods did not differ between the 51% of jockeys who followed a weight management plan compared to those who did not. The impact of these extreme weight loss practices on riding performance and health remains unknown.