Associations between behavior regulation, competence, physical activity, and health for adolescent females

This study investigated the association between the different types of behavior regulation and competence on sport and physical activity (PA) and perceived health, and the influence of school year level (ie, year 7 and year 11) and setting (ie, metropolitan and rural) on these relationships.

Factors associated with parental rules for adolescent alcohol use

This study used the Resilient Families baseline survey to examine associations between the connectedness of parents within the school and parents' rules regarding their children's use of alcohol, prior participation in parenting education, and parents' demographic characteristics. The study involved parents of Year 7 students (mean age 12 years) at secondary schools in Melbourne, Australia (N = 1,238; 2004). Most parents (54%) had no connections with parents of other children in their child's school year. Allowing children to have sips of alcohol or drinks on special occasions was reported by 23% and 6% of parents, respectively, but neither was significantly associated with parental connectedness. Copyright © 2014 Informa Healthcare USA, Inc.

Schooling duration rather than chronological age predicts working memory between 6 and 7 years: memory maestros study

OBJECTIVE: Low working memory (WM) is strongly linked with poor academic outcomes. WM capacity increases across childhood but how exposure to school is associated with WM development is not known. We aimed to determine extent to which chronological age and schooling duration are associated with WM at the population level. METHODS: In 2012, children in Grade 1 (the second year of formal schooling in Victoria, Australia) from 44 schools in metropolitan Melbourne were recruited. Assessments occurred over the entire school year, with schools quasi-randomly allocated to one of the 4 school terms. WM (primary outcome) was measured using 2 subtests from the computerized Automated Working Memory Assessment: Backwards Digit Recall (verbal) and Mister X (visuospatial). Linear regression was used to examine relationships of WM with time in school and age. RESULTS: Of the 1765 who provided consent, 1727 children (97.9%) had WM assessed throughout the 2012 school year. WM scores became steadily higher over the course of the year. Thus, scores were .77 and .53 SDs higher in Term 4 than Term 1 for verbal and visuospatial WM, respectively (p values for trend for both scores <.001); conclusions were unchanged when adjusted for age and potential confounders. Conversely, age associations attenuated fully once adjusted for school duration. CONCLUSIONS: Our results demonstrate, for the first time, that the developmental increases in WM are strongly associated with time spent in the classroom, above and beyond chronological age.

Family, school, peer and individual influences on early adolescent alcohol use: first-year impact of the Resilient Families programme

Introduction and Aims:  This study aimed to examine: (a) the influence of family factors relative to school, peer and individual influences on the development of adolescent alcohol use during the first year of secondary school; and (b) the feasibility of preventing adolescent alcohol use by modifying family factors. Design and Methods:  Twenty-four schools in Melbourne, Australia were randomly assigned to either the 'Resilient Families' intervention or a control condition. A baseline cohort of 2315 grade 7 students (mean age 12.3 years) were followed-up one year later (n = 2128 for longitudinal analyses). A sub-set of parents (n = 1166) also returned baseline surveys. Results: The prevalence of lifetime alcohol use in year 7 was 33% and rose to 47% by year 8. Student-reported predictors of year 8 alcohol use included baseline alcohol [Odds Ratio (OR) 3.64] and tobacco use (2.68), and school friend's alcohol (1.41) and tobacco use (1.64). After adjusting for other influences, student-reported family factors were not maintained as significant predictors of year 8 alcohol use. Parent-report predictors of student-reported alcohol use included allowing alcohol use in the home (2.55), parental alcohol use (1.88) and child hyperactivity (1.85). Protective factors included attendance at brief parent education (0.60) and parent involvement in school education (0.65). Discussion and Conclusions: The intervention appeared to benefit education-related outcomes, but no overall effect in reducing student alcohol use was found in year 8. Intervention effects on alcohol misuse may become significant in later secondary school once the entire program has been implemented. Considerable alcohol use was detected in early secondary school,   suggesting that interventions to reduce alcohol use may be usefully implemented prior to this period.

Six year follow-up of students who participated in a school-based physical activity interventions : a longitudinal cohort study

Background
The purpose of this paper was to evaluate the long-term impact of a childhood motor skill intervention on adolescent motor skills and physical activity.

Methods
In 2006, we undertook a follow-up of motor skill proficiency (catch, kick, throw, vertical jump, side gallop) and physical activity in adolescents who had participated in a one-year primary school intervention Move It Groove It (MIGI) in 2000. Logistic regression models were analysed for each skill to determine whether the probability of children in the intervention group achieving mastery or near mastery was either maintained or had increased in subsequent years, relative to controls. In these models the main predictor variable was intervention status, with adjustment for gender, grade, and skill level in 2000. A general linear model, controlling for gender and grade, examined whether former intervention students spent more time in moderate-to-vigorous physical activity at follow-up than control students.

Results
Half (52%, n = 481) of the 928 MIGI participants were located in 28 schools, with 276 (57%) assessed. 52% were female, 58% in Grade 10, 40% in Grade 11 and 54% were former intervention students. At follow-up, intervention students had improved their catch ability relative to controls and were five times more likely to be able to catch: ORcatch = 5.51, CI (1.95 – 15.55), but had lost their advantage in the throw and kick: ORthrow = .43, CI (.23 – .82), ORkick = .39, CI (.20 – .78). For the other skills, intervention students appeared to maintain their advantage: ORjump = 1.14, CI (.56 – 2.34), ORgallop = 1.24, CI (.55 – 2.79). Intervention students were no more active at follow-up.

Conclusion
Six years after the 12-month MIGI intervention, whilst intervention students had increased their advantage relative to controls in one skill, and appeared to maintain their advantage in two, they lost their advantage in two skills and were no more active than controls at follow up. More longitudinal research is needed to explore whether gains in motor skill proficiency in children can be sustained and to determine the intervention characteristics that translate to subsequent physical activity.

Five-year changes in school recess and lunchtime and the contribution to children’s daily physical activity

Objective To investigate the longitudinal changes in children's recess and lunchtime physical activity levels and in the contribution of recess and lunchtime to daily physical activity levels over 5 years among 5–6- and 10–12-year olds.

Methods Data were drawn from two longitudinal studies that were conducted in metropolitan Melbourne, Australia. Boys and girls (n=2782) aged 5–6 years and 10–12 years participated in baseline (T0) measures. Physical activity (n=2490) was measured every 60 s for eight consecutive days using hip-mounted accelerometry. Subsequent measurements were taken at 3-year (T1; n=773) and 5-year (T2; n=634) follow-up. Physical activity intensities were derived using age-adjusted cut-points. Sedentary time was defined as 100 counts/min. Longitudinal data were analysed using three-level (time, child, school) multilevel analyses, stratified by sex and cohort, and adjusted for potential confounding variables.

Results Significant decreases in recess and lunchtime moderate and vigorous physical activity were observed (p<0.001), with larger decreases occurring in the older cohort. Associated increases were observed in sedentary time over time (p<0.01). Although the contribution of recess to daily moderate intensity physical activity increased in the younger cohort over time (p<0.001), significant decreases were observed in the older cohort (p<0.001).

Conclusion Physical activity levels during recess and lunchtime decreased in both cohorts over time. Decreases in the contribution of recess and lunchtime to older children's daily physical activity were also observed. Interventions are needed in both primary and secondary schools to promote physical activity levels during recess and lunchtime, particularly during the early years of secondary school.

Effects of a specialist-led, school physical education program on bone mass, structure and strength in primary school children: a 4-year cluster randomised controlled trial

This 4-year cluster randomised controlled trial of 365 boys and 362 girls (mean age 8.1 ± 0.3 years) from grade 2 in 29 primary schools investigated the effects of a specialist-taught physical education (PE) program on bone strength and body composition. All children received 150 min/week of common practice (CP) PE from general classroom teachers but in 13 schools 100 min/week of CP PE was replaced by specialized-led PE (SPE) by teachers who emphasized more vigorous exercise/games combined with static and dynamic postural activities involving muscle strength. Outcome measures assessed in grades 2, 4, and 6 included: total body bone mineral content (BMC), lean mass (LM) and fat mass (FM) by DXA, and radius and tibia (4% and 66% sites) bone structure, volumetric density and strength, and muscle cross-sectional area (CSA) by pQCT. After 4-years, gains in total body BMC, FM and muscle CSA were similar between the groups in both sexes, but girls in the SPE group experienced a greater gain in total body LM [mean (95%CI), 1.0kg (0.2, 1.9)]. Compared to CP, girls in the SPE group also had greater gains in cortical area (CoA) and cortical thickness (CoTh) at the mid-tibia [CoA, 5.0% (0.2, 1.9); CoTh 7.5% (2.4, 12.6)] and mid-radius [CoA, 9.3% (3.5, 15.1); CoTh 14.4% (6.1, 22.7)], while SPE boys had a 5.2% (0.4, 10.0) greater gain in mid-tibia CoTh. These benefits were due to reduced endocortical expansion. There were no significant benefits of SPE on total bone area, cortical density or bone strength at the mid-shaft sites, nor any appreciable effects at the distal skeletal sites. This study indicates that a specialist-led school-based PE program improves cortical bone structure, due to reduced endocortical expansion. This finding challenges the notion that periosteal apposition is the predominant response of bone to loading during the pre- and early-pubertal period. This article is protected by copyright. All rights reserved.