Reducing non-core food advertising to children is an important priority in strategies to address childhood obesity. Public health researchers argue for government intervention on the basis that food industry self-regulation is ineffective; however, the industry contends that the existing voluntary scheme adequately addresses community concerns. This paper examines the operation of two self-regulatory initiatives governing food advertising to children in Australia, in order to determine whether these regulatory processes foster transparent and accountable self-regulation. The paper concludes that while both codes (...) appear to establish transparency and accountability mechanisms, they do not provide for meaningful stakeholder participation in the self-regulatory scheme. Accordingly, food industry self-regulation is unlikely to reflect public health concerns or to be perceived as a legitimate form of governance by external stakeholders. If industry regulation is to remain a feasible alternative to statutory regulation, there is a strong argument for strengthening government oversight and implementing a co-regulatory scheme. (shrink)

Background: We aimed to determine the smallest changes in health-related quality of life (HRQoL) scores in the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire core 30 and the Brain Cancer Module (QLQ-BN20), which could be considered as clinically meaningful in brain cancer patients. Materials and methods: World Health Organisation performance status (PS) and mini-mental state examination (MMSE) were used as clinical anchors appropriate to related subscales to determine the minimal clinically important differences (MCIDs) in HRQoL (...) change scores (range 0-100) in the QLQ-C30 and QLQ-BN20. A threshold of 0.2 standard deviation (SD) (small effect) was used to exclude anchor-based MCID estimates considered too small to inform interpretation. Results: Based on PS, our findings support the following integer estimates of the MCID for improvement and deterioration, respectively: physical (6, 9), role (14, 12), and cognitive functioning (8, 8); global health status (7, 4(star)), fatigue (12, 9), and motor dysfunction (4(star), 5). Anchoring with MMSE, cognitive functioning MCID estimates for improvement and deterioration were (11, 2(star)) and for communication deficit were (9, 7). Estimates with asterisks were <0.2 SD and were excluded from our MCID range of 5-14. Conclusion: These estimates can help clinicians evaluate changes in HRQoL over time, assess the value of a health care intervention and can be useful in determining sample sizes in designing future clinical trials. (shrink)