The Nutrition and Enjoyable Activity for Teen Girls Study

Dewar, Deborah L.; Morgan, Philip J.; Plotnikoff, Ronald C.; Okely, Anthony D.; Collins, Clare E.; Batterham, Marijka; Callister, Robin; Lubans, David R.

doi:10.1016/j.amepre.2013.04.014

Cited by 80 publications

(157 citation statements)

References 25 publications

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“…Elevated prevalence of these health risk factors has also been reported in other studies with Brazilian adolescents [41][42][43] . We observed a reduction in total and daily ST, however there were no significant differences in the electronic aspect, corroborating a study by Dewar et al 39 , which did not find significant differences in adolescents' screen time after 12 months of intervention. There was a significant difference between the IG and CG in the post-intervention period, showing that adolescents who participated in the intervention had less sedentary time than their CG peers.…”

Section: Guimarães Rf and Silva Mp And Martini Mcs And Guerra-júniorsupporting

confidence: 80%

“…A possible factor for this ineffectiveness may have been the duration of the intervention in this study. The period of time may have been too short for positive adaptation to occur in some of the parameters-other researchers have not found significant effects on body composition and behavioral variables in groups of adolescents after 12 months of physical activity sessions and nutrition workshop intervention 39 . However, more rigid control of the volume and intensity of the exercises in the intervention program could be a determining factor to have more significant modifications, even in a short period of time.…”

Section: Guimarães Rf and Silva Mp And Martini Mcs And Guerra-júniormentioning

confidence: 99%

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The effects of an after-school intervention program on physical activity level, sedentary time, and cardiovascular risk factors in adolescents

Guimarães

Silva

Martini

et al. 2017

Motriz: rev. educ. fis.

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-Aim:To ascertain the effects of an after-school intervention on physical activity levels and cardiovascular risk factors in adolescents from Campinas, Brazil. Methods: This was an intervention study with 71 adolescents that was carried out in two schools, randomly assigned to a control group (CG:n=45) or an intervention group (IG:n=26).We performed evaluations of body composition, sexual maturation, blood pressure, level of physical activity, sedentary time (ST), and eating habits, as well as biochemical variables by a portable analyzer. The IG participated in two weekly sessions of physical activities and controlled physical exercises for 14 weeks. The sessions lasted 60', and were divided into warm-up (5-10'), main part (40-50'), and recovery (5-10'). Results: 30.8% of the IG and 24.4% of the CG were classified as overweight/obese. Additionally, the IG showed significantly lower ST (total: p=0.037; daily:p=0.009) after the intervention, as well as in the post-period (total ST: p=0.043; daily ST: p=0.007). The IG showed a reduction in glycemia (p=0.025). Conclusion: The intervention program generated positive changes in glycemia levels and ST. These results suggest that interventions involving physical exercise should be promoted in the school environment, as physical activity is an important component of a healthy lifestyle.

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Section: Guimarães Rf and Silva Mp And Martini Mcs And Guerra-júniorsupporting

confidence: 80%

Section: Guimarães Rf and Silva Mp And Martini Mcs And Guerra-júniormentioning

confidence: 99%

The effects of an after-school intervention program on physical activity level, sedentary time, and cardiovascular risk factors in adolescents

Guimarães

Silva

Martini

et al. 2017

Motriz: rev. educ. fis.

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“…Third, we were unable to collect ATLAS app usage data, which prevented a more thorough examination of the efficacy of this novel component. Fourth, similar to previous studies with adolescents, 12 poor compliance to accelerometer protocols reduced the available sample size, preventing more comprehensive assessment of change in physical activity. Finally, due to the targeted nature of the intervention, the results may not be generalizable to other groups (eg, female subjects, those from other socioeconomic strata).…”

Section: Discussionmentioning

confidence: 83%

“…Such strategies include the use of e-health (ie, Internet-based) and mHealth (ie, mobile phone) technologies to encourage young people to develop physical activity behavioral skills (ie, self-monitoring, goal setting) 12,13 and improve lifestyle behaviors. 14 Mobile phone (and smartphone) ownership among young people is accelerating at a rapid rate.…”

Section: Resultsmentioning

confidence: 99%

Smart-Phone Obesity Prevention Trial for Adolescent Boys in Low-Income Communities: The ATLAS RCT

et al. 2014

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OBJECTIVE: The goal of this study was to evaluate the impact of the Active Teen Leaders Avoiding Screen-time (ATLAS) intervention for adolescent boys, an obesity prevention intervention using smartphone technology. METHODS: ATLAS was a cluster randomized controlled trial conducted in 14 secondary schools in low-income communities in New South Wales, Australia. Participants were 361 adolescent boys (aged 12–14 years) considered at risk of obesity. The 20-week intervention was guided by self-determination theory and social cognitive theory and involved: teacher professional development, provision of fitness equipment to schools, face-to-face physical activity sessions, lunchtime student mentoring sessions, researcher-led seminars, a smartphone application and Web site, and parental strategies for reducing screen-time. Outcome measures included BMI and waist circumference, percent body fat, physical activity (accelerometers), screen-time, sugar-sweetened beverage intake, muscular fitness, and resistance training skill competency. RESULTS: Overall, there were no significant intervention effects for BMI, waist circumference, percent body fat, or physical activity. Significant intervention effects were found for screen-time (mean ± SE: –30 ± 10.08 min/d; P = .03), sugar-sweetened beverage consumption (mean: –0.6 ± 0.26 glass/d; P = .01), muscular fitness (mean: 0.9 ± 0.49 repetition; P = .04), and resistance training skills (mean: 5.7 ± 0.67 units; P < .001). CONCLUSIONS: This school-based intervention targeting low-income adolescent boys did not result in significant effects on body composition, perhaps due to an insufficient activity dose. However, the intervention was successful in improving muscular fitness, movement skills, and key weight-related behaviors.

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“…These interventions have had some success, with short-term improvements in school-based PA, but limited evidence of positive effects on PA outside of school or during leisure time [11,13]. A multicomponent school-based study in Australian secondary schools reported no increase in PA, but reductions in self-reported screen time [14,15]. Consequently, multifaceted interventions that target multiple settings such as schools and communities are considered important for making positive changes to adolescent PA levels [13,16].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of a School-Community Linked Program on Physical Activity Levels and Health-Related Quality of Life for Adolescent Girls

Casey¹,

Harvey²,

Telford³

et al. 2015

School Nutrition and Activity

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Background: This study evaluated the effectiveness of a school-community program on Health-Related Quality of Life (HRQoL; the primary outcome), physical activity (PA), and potential mediators of PA among adolescent girls living in low-socioeconomic rural/regional settings. Method: The study was a cluster-randomized controlled trial. Twelve communities with the requisite sports clubs and facilities were paired according to relevant criteria; one of each pair was randomly assigned to the intervention or control condition. Eight schools per condition were randomly selected from these communities and the intervention was conducted over one school year (2011). Female students in grades 7-9 in intervention schools participated in two 6-session PA units -a sport unit (football or tennis) and a recreational unit (leisure centre-based). These were incorporated into physical education (PE) curriculum and linked to PA opportunities for participation outside school. Students were surveyed at baseline and endpoint, self-reporting impact on primary and secondary outcome measures (HRQoL, PA) and PA mediators (e.g. self-efficacy). Linear mixed models for two-group (intervention, control) and three-group (completers, non-completers, control) analyses were conducted with baseline value, age and BMI as covariates, group as a fixed effect and school as random cluster effect.

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The Nutrition and Enjoyable Activity for Teen Girls Study

Cited by 80 publications

References 25 publications

The effects of an after-school intervention program on physical activity level, sedentary time, and cardiovascular risk factors in adolescents

The effects of an after-school intervention program on physical activity level, sedentary time, and cardiovascular risk factors in adolescents

Smart-Phone Obesity Prevention Trial for Adolescent Boys in Low-Income Communities: The ATLAS RCT

Effectiveness of a School-Community Linked Program on Physical Activity Levels and Health-Related Quality of Life for Adolescent Girls

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