Publications by authors named "A de Silva-Sanigorski"

Pediatric obesity continues to be a major public health concern. Once established it is difficult to treat, therefore well-designed and evaluated prevention interventions are vitally important. Schools have an important role in the prevention of childhood obesity, however, their involvement can be limited by a number of constraints and barriers, which need to be considered when designing interventions.

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Background: Successful obesity prevention will require a leading role for governments, but internationally they have been slow to act. League tables of benchmark indicators of action can be a valuable advocacy and evaluation tool.

Objective: To develop a benchmarking tool for government action on obesity prevention, implement it across Australian jurisdictions and to publicly award the best and worst performers.

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What Is Already Known About This Subject: Childhood obesity has been increasing over decades and scalable, population-wide solutions are urgently needed to reverse this trend. Evidence is emerging that community-based approaches can reduce unhealthy weight gain in children. In some countries, such as Australia, the prevalence of childhood obesity appears to be flattening, suggesting that some population-wide changes may be underway.

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This study examined the utility of the biopsychosocial model to predict accuracy of weight status perception among Australian adolescents. The factors included in this framework were: age, gender, and BMI-z (biological factors); satisfaction with body weight and shape (psychological factors); socioeconomic status, peer weight (social factors). Cross-sectional data, including measured height and weight, and self-reported weight status, was obtained from 2954 adolescents (mean age=14.

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Objective: The aim of this study was to examine whether baseline (T1) or 2-year change in sweet drink intake in children and adolescents was associated with age- and gender-standardized body mass index (BMIz) at time two (T2), 2 years later.

Methods: Data on 1465 children and adolescents from the comparison groups of two quasi-experimental intervention studies from Victoria, Australia were analysed. At two time points between 2003 and 2008 (mean interval: 2.

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