147 resultados para school break time

em Deakin Research Online - Australia


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Purpose Adolescents' physical activity levels during school break time are low and understanding correlates of physical activity and sedentary time in this context is important. This study investigated cross-sectional and longitudinal associations between a range of individual, behavioural, social and policy/organisational correlates and objectively measured school break time physical activity and sedentary time.

Methods In 2006, 146 adolescents (50% males; mean age = 14.1±0.6 years) completed a questionnaire and wore an accelerometer for ≥3 school days. Time spent engaged in sedentary, light (LPA) and moderate-to-vigorous physical activity (MVPA) during school break times (recess and lunchtime) were calculated using existing cut-points. Measures were repeated in 2008 among 111 adolescents. Multilevel models examined cross-sectional and longitudinal associations.

Results Bringing in equipment was cross-sectionally associated with 3.2% more MVPA during break times. Females engaged in 5.1% more sedentary time than males, whilst older adolescents engaged in less MVPA than younger adolescents. Few longitudinal associations were observed. Adolescents who brought sports equipment to school engaged in 7.2% less LPA during break times two years later compared to those who did not bring equipment to school.

Conclusion These data suggest that providing equipment and reducing restrictions on bringing in sports equipment to school may promote physical activity during school recess. Strategies targeting females' and older adolescents', in particular, are warranted.

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Background
Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.

Methods
Forty-eight children (54% boys) aged 8–12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9–3:30 pm). AG data were analyzed using 17 cut-points between 50–850 counts·min−1 in 50 counts·min−1 increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cutpoints that maximized sensitivity and specificity for sitting and sitting plus standing time.

Results
The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (−0.8 minutes), and AG100 for school hours (−5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min−1 (AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).

Conclusions
Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min−1. Higher sedentary cut-points may capture both sitting and standing time.

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Background

Variability exists in children's activity patterns due to the association with environmental, social, demographic, and inter-individual factors. This study described accelerometer assessed physical activity patterns of high and low active children during segmented school week days whilst controlling for potential correlates.
Methods

Two hundred and twenty-three children (mean age: 10.7 +/- 0.3 yrs, 55.6% girls, 18.9% overweight/obese) from 8 north-west England primary schools wore ActiGraph GT1M accelerometers for 7 consecutive days during autumn of 2009. ActiGraph counts were converted to minutes of moderate (MPA), vigorous (VPA) and moderate-to-vigorous (MVPA) physical activity. Children were classified as high active (HIGH) or low active (LOW) depending on the percentage of week days they accumulated at least 60 minutes of MVPA. Minutes spent in MPA and VPA were calculated for school time and non-school time and for five discrete school day segments (before-school, class time, recess, lunchtime, and after-school). Data were analysed using multi-level modelling.
Results

The HIGH group spent significantly longer in MPA and/or VPA before-school, during class time, lunchtime, and after-school (P < .05), independent of child and school level factors. The greatest differences occurred after-school (MPA = 5.5 minutes, VPA = 3.8 minutes, P < 0.001). MPA and VPA were also associated with gender, BMI z-score, number of enrolled children, playground area per student, and temperature, depending on the segment analysed. The additive effect of the segment differences was that the HIGH group accumulated 12.5 minutes per day more MVPA than the LOW group.
Conclusions

HIGH active children achieved significantly more MPA and VPA than LOW active during four of the five segments of the school day when analyses were adjusted for potential correlates. Physical activity promotion strategies targeting low active children during discretionary physical activity segments of the day, and particularly via structured after-school physical activity programs may be beneficial.

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Should a single mother of four young children who commits theft be sentenced to a lesser sanction than a woman who commits the same crime but has no dependents? Should a billionaire philanthropist be sentenced to a lesser penalty than the average citizen for assaulting a random bystander? Should a first-time thief receive a lighter sanction than a career thief for the same theft? The relevance of an offender’s profile to sentencing is unclear and is one of the most under-researched and least coherent areas of sentencing law. Intuitively, there is some appeal in treating offenders without a criminal record, those who have made a positive contribution to society, or who have dependents more leniently than other offenders. However, to allow these considerations to mitigate penalty potentially licenses offenders to commit crime and decouples the sanction from the severity of the offense, thereby undermining the proportionality principle. This article analyzes the relevance that an offender’s profile should have in sentencing. We conclude that a lack of prior convictions should generally reduce penalty because the empirical data shows that, in relation to most offenses, first-time offenders are less likely to reoffend than recidivist offenders. The situation is more complex in relation to offenders who have made worthy social contributions. They should not be given sentencing credit for past achievements given that past good acts have no relevance to the proper objectives of sentencing and it is normally not tenable, even in a crude sense, to make an informed assessment of an individual’s overall societal contribution. However, offenders should be accorded a sentencing reduction if they have financial or physical dependents and if imprisoning them is likely to cause harm to their dependents. Conferring asentencing discount to first-time offenders and those withdependents does not license them to commit crime or unjustifiablyencroach on the proportionality principle. Rather, it recognizes thedifferent layers of the legal system and the reality that sentencinglaw should not reflexively overwhelm broader maxims of justice,including the principle that innocent people should not suffer. Thisarticle argues that fundamental legislative reform is necessary toproperly reflect the role that the profile of offenders should have inthe sentencing regime.

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INTRODUCTION: Many American children do not meet recommendations for moderate to vigorous physical activity (MVPA). Although school-based physical education (PE) provides children with opportunities for MVPA, less than half of PE minutes are typically active. The purpose of this study is to estimate the cost effectiveness of a state "active PE" policy implemented nationally requiring that at least 50% of elementary school PE time is spent in MVPA. METHODS: A cohort model was used to simulate the impact of an active PE policy on physical activity, BMI, and healthcare costs over 10 years for a simulated cohort of the 2015 U.S. population aged 6-11 years. Data were analyzed in 2014. RESULTS: An elementary school active PE policy would increase MVPA per 30-minute PE class by 1.87 minutes (95% uncertainty interval [UI]=1.23, 2.51) and cost $70.7 million (95% UI=$51.1, $95.9 million) in the first year to implement nationally. Physical activity gains would cost $0.34 per MET-hour/day (95% UI=$0.15, $2.15), and BMI could be reduced after 2 years at a cost of $401 per BMI unit (95% UI=$148, $3,100). From 2015 to 2025, the policy would cost $235 million (95% UI=$170 million, $319 million) and reduce healthcare costs by $60.5 million (95% UI=$7.93 million, $153 million). CONCLUSIONS: Implementing an active PE policy at the elementary school level could have a small impact on physical activity levels in the population and potentially lead to reductions in BMI and obesity-related healthcare expenditures over 10 years.

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BACKGROUND: Independent of physical activity levels, youth sedentary behaviors (SB) have negative health outcomes. SB prevalence estimates during discretionary periods of the day (e.g., after-school), inform the need for targeted period-specific interventions. This systematic review aimed to determine children's and adolescents' SB prevalence during the after-school period.

METHODS: A computerized search was conducted in October 2015 (analysed November 2015). Inclusion criteria were: published in a peer-reviewed English journal; participants aged 5-18 years; measured overall after-school sedentary time (ST) objectively, and/or specific after-school SBs (e.g., TV viewing) objectively or subjectively; and provided the percentage of the after-school period spent in ST/SB or duration of behavior and period to calculate this. Where possible, findings were analyzed by location (e.g., after-school care/'other' locations). The PRISMA guidelines were followed.

RESULTS: Twenty-nine studies were included: 24 included children (≤12 years), four assessed adolescents (>12 years) and one included both; 20 assessed ST and nine assessed SB. On average, children spent 41% and 51% of the after-school period in ST when at after-school care and other locations respectively. Adolescents spent 57% of the after-school period in ST. SBs that children and adolescents perform include: TV viewing (20% of the period), non-screen based SB (including homework; 20%), screen-based SB (including TV viewing; 18%), homework/academics (13%), motorised transport (12%), social SB (9%), and screen-based SB (excluding TV viewing; 6%).

CONCLUSION: Children spent up to half of the after-school period in ST and this is higher among adolescents. A variety of screen- and non-screen based SBs are performed after school, providing key targets for interventions.

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Objective. To examine the independent, competing, and interactive effects of perceived availability of specific types of media in the home and neighborhood sport facilities on adolescents’ leisure-time physical activity (PA).

Methods. Survey data from 34 369 students in 42 Hong Kong secondary schools were collected (2006–07). Respondents reported moderate-to-vigorous leisure-time PA, presence of sport facilities in the neighborhood and of media equipment in the home. Being sufficiently physically active was defined as engaging in at least 30 minutes of non-school leisure-time PA on a daily basis. Logistic regression and post-estimation linear combinations of regression coefficients were used to examine the independent and competing effects of sport facilities and media equipment on leisure-time PA.

Results. Perceived availability of sport facilities was positively (ORboys = 1.17; ORgirls = 1.26), and that of computer/Internet negatively (ORboys = 0.48; ORgirls = 0.41), associated with being sufficiently active. A significant positive association between video game console and being sufficiently active was found in girls (ORgirls = 1.19) but not in boys. Compared with adolescents without sport facilities and media equipment, those who reported sport facilities only were more likely to be physically active (ORboys = 1.26; ORgirls = 1.34), while those who additionally reported computer/Internet were less likely to be physically active (ORboys = 0.60; ORgirls = 0.54).

Conclusions. Perceived availability of sport facilities in the neighborhood may positively impact on adolescents’ level of physical activity. However, having computer/Internet may cancel out the effects of active opportunities in the neighborhood. This suggests that physical activity programs for adolescents need to consider limiting the access to computer-mediated communication as an important intervention component.

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Heavy alcohol use increases dramatically at age 14, and there is emerging cross-sectional evidence that when girls experience family conflict at younger ages (11–13 years) the risk of alcohol use and misuse is high. This study evaluated the role of family conflict and subsequent depressed mood in predicting heavy alcohol use among adolescent girls. Method: This was a three-wave longitudinal study with annual assessments (modal ages 12, 13, and 14 years). The participants (N = 886, 57% female) were from 12 metropolitan schools in Victoria, Australia, and participants completed questionnaires during school class time. The key measures were based on the Communities That Care Youth Survey and included family conflict (Wave 1), depressed mood (Wave 2), and heavy alcohol use (Wave 3). Control variables included school commitment, number of peers who consumed alcohol, whether parents were living together, and ethnic background. Results: With all controls in the model, depressed mood at Wave 2 was predicted by family conflict at Wave 1. The interaction of family conflict with gender was significant, with girls showing a stronger association of family conflict and depressed mood. Depressed mood at Wave 2 predicted heavy alcohol use at Wave 3. Conclusions: Girls may be especially vulnerable to family conflict, and subsequent depressed mood increases the risk of heavy alcohol use. The results support the need for gender-sensitive family-oriented prevention programs delivered in late childhood and early adolescence.

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BACKGROUND: Seasonal variations may influence children's physical activity patterns. The aim of this study was to examine how children's objectively-measured physical activity differed across seasons, and whether different seasonal patterns were observed for boys and girls. METHODS: Three hundred and twenty-six children aged 8-11 years from nine primary schools in Melbourne, Australia, participated in the study. Physical activity was measured every 15-s using hip-mounted GT3X+ ActiGraph accelerometers for seven consecutive days in the Winter (n = 249), Spring (n = 221), Summer (n = 174) and Autumn (n = 152) school terms. Time spent in moderate (MPA), vigorous (VPA) and moderate- to vigorous-intensity physical activity (MVPA) at each time point was derived using age-specific cut-points. Meteorological data (maximum temperature, precipitation, daylight hours) were obtained daily during each season. Longitudinal data were analysed using multilevel analyses, adjusted for age, sex, accelerometer wear time, number of valid days, and meteorological variables. RESULTS: Compared to Winter, children engaged in significantly less MPA (-5.0 min) and MVPA (-7.8 min) in Summer. Girls engaged in less MVPA in Spring (-18 min) and Summer (-9.2 min) and more MVPA in Autumn (9.9 min) compared to Winter. Significant changes in MPA and VPA bout frequency and duration were also observed. Significant decreases in VPA bout frequency (3.4 bouts) and duration (2.6 min) were observed for girls in Spring compared to Winter. No significant seasonal changes were observed for boys for all intensities and physical activity accumulation. CONCLUSIONS: Physical activity decreased in Summer compared to Winter, contrasting previous research that typically reports that children are most active in summer. Greater fluctuations were observed for girls' activity levels. In addition, girls' activity duration and bouts appeared to be more susceptible to seasonal changes compared to boys. The results suggest that strategies to promote physical activity may be needed in Australia during the hot summer months, particularly for girls.

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In this paper, the authors are concerned with the challenges, dilemmas and choices that teachers face when teaching multicultural music in classrooms in Australia in an already overcrowded curriculum. This paper considers the notion of changing and shifting cultures, looking at how teachers can break out of the familiar paradigms in which they were trained. There will be a consideration of the notion of cultural ownership questioning whose music is to be taught, how is it to be taught, and by whom. A discussion of how music is embedded in the culture that creates it is undertaken in relation to the concepts of authenticity and transmission. The authors contend that the exploration of other cultures enables the making of connections within and without the classroom and beyond the school into the local, national and global arenas. It is our position that teachers should not hesitate to explore other musics and cultures. It is noted that teachers need support to do this which can only enhance both their teaching and the learning of their students even though there is so much to do in so little time.

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Given the short- and long-term health implications associated with overweight and obesity plus the likelihood of overweight or obesity to continue into adulthood, addressing the causes of overweight and obesity in childhood is a significant public health concern. One underlying cause of overweight and obesity is insufficient physical activity. The Department of Health and Aging recommends children engage in at least 60 minutes of moderate to vigorous physical activity (MVPA) per day; however, these recommendations are met less frequently with increasing age, and girls less often meet these recommendations than boys. School lunch times have been identified as an ideal time for maximizing children’s physical activity (PA), but studies have shown variable levels of PA among children during this time and research indicates that during school lunch times, girls are consistently less active than boys. Understanding influences on girls’ participation in PA during this time may help to increase levels of PA for this demographic. Two South Australian schools, one government and one independent, were included in the sample. Four focus groups (three or four participants per group: total 13 participants) focusing on girls’ perceptions of PA during the lunch break were conducted. Transcripts and field notes were analyzed using a social constructionist framework and thematic content analysis. The expectation to participate in activities considered “gender appropriate”, maturation, and bullying/teasing were identified as explicit barriers to participation in lunch time play. Other important barriers included a “girls’” school uniform and feelings of inadequate competency. The ability to renegotiate gender stereotypes, a unisex school uniform, and perceived high competency were important facilitators of lunch time PA. Low levels of lunch time PA evident in many young adolescent girls may be due to many complex social factors. Therefore, these barriers may need to be addressed before any environmental interventions are likely to be effective.