\u27Traffic-light\u27 nutrition labelling and \u27junk-food\u27 tax : a modelled comparison of cost-effectiveness for obesity prevention

Introduction: Cost-effectiveness analyses are important tools in efforts to prioritise interventions for obesity prevention.Modelling facilitates evaluation of multiple scenarios with varying assumptions. This study compares the cost-effectiveness ofconservative scenarios for two commonly proposed policy-based interventions: front-of-pack &lsquo;traffic-light&rsquo; nutrition labelling(traffic-light labelling) and a tax on unhealthy foods (&lsquo;junk-food&rsquo; tax).Methods: For traffic-light labelling, estimates of changes in energy intake were based on an assumed 10% shift in consumptiontowards healthier options in four food categories (breakfast cereals, pastries, sausages and preprepared meals) in 10% of adults. For the &lsquo;junk-food&rsquo; tax, price elasticities were used to estimate a change in energy intake in response to a 10% price increase in seven food categories (including soft drinks, confectionery and snack foods). Changes in population weight and body mass index by sex were then estimated based on these changes in population energy intake, along with subsequent impacts on disability-adjusted life years (DALYs). Associated resource use was measured and costed using pathway analysis, based on a health sector perspective (with some industry costs included). Costs and health outcomes were discounted at 3%. The cost-effectiveness of each intervention was modelled for the 2003 Australian adult population.Results: Both interventions resulted in reduced mean weight (traffic-light labelling: 1.3 kg (95% uncertainty interval (UI): 1.2;1.4); &lsquo;junk-food&rsquo; tax: 1.6 kg (95% UI: 1.5; 1.7)); and DALYs averted (traffic-light labelling: 45 100 (95% UI: 37 700; 60 100);&lsquo;junk-food&rsquo; tax: 559 000 (95% UI: 459 500; 676 000)). Cost outlays were AUD81 million (95% UI: 44.7; 108.0) for traffic-lightlabelling and AUD18 million (95% UI: 14.4; 21.6) for &lsquo;junk-food&rsquo; tax. Cost-effectiveness analysis showed both interventions were&lsquo;dominant&rsquo; (effective and cost-saving).Conclusion: Policy-based population-wide interventions such as traffic-light nutrition labelling and taxes on unhealthy foods arelikely to offer excellent &lsquo;value for money&rsquo; as obesity prevention measures.<br /

A comparison of the socio-cultural influences on body size perceptions and values among European Australian and Indigenous Fijian adolescent girls

Western women are experiencing increases in the prevalence of overweight and obesity despite valuing slimness as ideal and equating thinness with attractiveness and beauty. Pacific populations are also experiencing high prevalence rates of overweight and obesity. A lage body size, however, has many positive connotations among pacific populations that stem from rich cultural practices such as feasts and deliberate fattening of women. There appears to be many sociocultural factors however, such as images of the slim ideal portrayed in Western media, influencing body image concerns that are shared between the two groups. A qualitative study involving semi-structured interviews was conducted to examine and compare the sociocultural influences on body size perceptionsand values. Participants include 16 European Australian and 16 Indigenous Fijian adolescent girls aged between 15 and 17 years. Inductive thematic analysis and analytical induction were qualitativemethods employed to facilitate interpretation of the findings. Preliminary findings suggest that Fijian adolescent girls experience greater conflict than European Australian girls about the desired body size endorsed in their community. Results also suggest that Indigenous Fijian girls place less importance than Australian girls on manipulating their body to achieve a specific ideal. Specific results of this study are reviewed and recommendations for future research are discussed

How children eat may contribute to rising levels of obesity children's eating behaviours: An intergenerational study of family influences

The term ‘obesogenic environment’ is rapidly becoming part of common phraseology. However, the influence of the family and the home environment on children's eating behaviours is little understood. Research that explores the impact of this micro environment and intergenerational influences affecting children's eating behaviours is long overdue. A qualitative, grounded theory approach, incorporating focus groups and semi-structured interviews, was used to investigate the family environment and specifically, the food culture of different generations within families. What emerged was a substantive theory based on ‘ordering of eating’ that explains differences in eating behaviours within and between families. Whereas at one time family eating was highly ordered and structured, typified by the grandparent generation, nowadays family eating behaviours are more haphazard and less ordered, evidenced by the way the current generation of children eat. Most importantly, in families with an obese child eating is less ordered compared with those families with a normal weight child. Ordering of eating' is a unique concept to emerge. It shows that an understanding of the eating process is crucial to the development and improvement of interventions targeted at addressing childhood obesity within the family context

Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting

&nbsp;Background: The value placed on types of evidence within decision-making contexts is highly dependent on individuals, the organizations in which the work and the systems and sectors they operate in. Decision-making processes too are highly contextual. Understanding the values placed on evidence and processes guiding decision-making is crucial to designing strategies to support evidence-informed decision-making (EIDM). This paper describes how evidence is used to inform local government (LG) public health decisions.Methods: The study used mixed methods including a cross-sectional survey and interviews. The Evidence-Informed Decision-Making Tool (EvIDenT) survey was designed to assess three key domains likely to impact on EIDM: access, confidence, and organizational culture. Other elements included the usefulness and influence of sources of evidence (people/groups and resources), skills and barriers, and facilitators to EIDM. Forty-five LGs from Victoria, Australia agreed to participate in the survey and up to four people from each organization were invited to complete the survey (n = 175). To further explore definitions of evidence and generate experiential data on EIDM practice, key informant interviews were conducted with a range of LG employees working in areas relevant to public health.Results: In total, 135 responses were received (75% response rate) and 13 interviews were conducted. Analysis revealed varying levels of access, confidence and organizational culture to support EIDM. Significant relationships were found between domains: confidence, culture and access to research evidence. Some forms of evidence (e.g. community views) appeared to be used more commonly and at the expense of others (e.g. research evidence). Overall, a mixture of evidence (but more internal than external evidence) was influential in public health decision-making in councils. By comparison, a mixture of evidence (but more external than internal evidence) was deemed to be useful in public health decision-making.Conclusions: This study makes an important contribution to understanding how evidence is used within the public health LG context