Mass media campaigns and the 'file drawer problem': A mixed methods study of how to avoid campaign failure.

Mass media campaigns are frequently used to address public health issues. Considering the considerable cost, there has been little analysis of why campaigns sometimes fail. This study used a sequential mixed methods approach to explore the mechanisms that can lead to failure and to identify what can be done to avoid or overcome common mistakes in campaign planning, implementation, and evaluation. We conducted interviews and a survey with 28 public health social marketing and mass media campaign experts over three rounds of research and analysed the data thematically, generating themes inductively. We identified four systemic factors that drive success: long-term strategic thinking and commitment, understanding the campaign context, doing and learning from evaluation, and fostering strong relationships. The factors did not operate in isolation, rather good (or poor) execution in one area was likely to influence performance in another. The experts also emphasised that a change of political context could drastically affect one or more of the identified factors. Our analysis showed that campaign failures are not simply individuals making mistakes. Systemic issues throughout the planning, execution, and evaluation phases need to be addressed if campaign outcomes are to improve.

Designing physical activity interventions for women aged 50+: a qualitative study of participant perspectives.

BACKGROUND: The Active Women over 50 trial tested a scalable program for increasing physical activity among women aged 50+. The program included information, activity tracker and email support. This study sought to describe the participant perspectives of the Active Women over 50 program and considerations for designing physical activity interventions for this demographic. METHODS: Women who completed the Active Women over 50 trial were purposively recruited for maximum variation in age, employment, carer responsibility, medical conditions and physical activity. Individual semi-structured interviews explored their perspectives on physical activity, Active Women over 50 program components and suggestions for future iterations. Data were thematically analysed. RESULTS: Participants' capacity to be physically active was shaped by an interplay of factors. Our analysis generated four main themes relating to physical activity in general and to the program: Age and gender matters, Physical activity is social, Strategising for physical activity and the Self-responsibility discourse. At this midlife stage, physical activity participation was challenged by personal, life-stage and cultural factors, alongside a tension of the self-responsibility discourse which also impacted the program experience. Social factors and finding a suitable strategy for motivation were deemed integral aspects of being active. Future programs could consider facilitation of social networks and accountability, life-stage health information and positive framing to support self-responsibility. CONCLUSION: A range of strategies is key to supporting women over 50 to be more physically active due to the variety of circumstances and levels of agency experienced. We offer suggestions that do not need to be resource intensive but could be incorporated into a scaled program.

Service provider perspectives on implementing the NSW Get Healthy at Work program.

Purpose: One approach increasingly used by governments to deliver on public initiatives is to partner with private enterprise through public-private partnerships. This study is a qualitative process evaluation of an Australian state-wide workplace health programme "Get Healthy at Work" from the currently under-researched perspective of the private service providers. Methods: Semi-structured interviews were conducted with nine service providers. Interviews were transcribed and analysed inductively. Results: Service providers reported an alignment of motives and skills between the programme and their organizations as a benefit of the partnership. However, they also described misalignments: between the potential and realized value of the programme to businesses and service providers; the programme cycle and business operational processes; and the capacity building approach and businesses' expectations of the service.Conclusions: Although several hallmarks of a well-functioning private-public partnership were evident, misalignments of process and expectations challenged sustained partnership involvement by providers. Careful consideration must be given to the ongoing management functioning of cross-sector engagement and partnering in health promotion practice in order to ensure public health goals are being met, but also that the model is mutually sustainable.

The Intervention Scalability Assessment Tool: a pilot study assessing five interventions for scalability.

OBJECTIVES: This study tested the utility of the Intervention Scalability Assessment Tool (ISAT) with real-world interventions considered for scale-up in the Australian context. We explored user perceptions of the usefulness of the ISAT in making scalability decisions and conducted an analysis of completed ISATs. Type of program/service: The ISAT was designed to assist policy makers/practitioners to make structured and reflective assessments of the potential scalability of their interventions. METHODS: Participants (n = 26) were invited via email and needed to be considering a population intervention for scale-up, to be able to pilot the ISAT, and to be willing to complete an online survey to provide feedback. Survey data and completed ISATs were collated and common responses were identified, with exceptions noted. RESULTS: Thirteen participants accepted the invitation to pilot the ISAT; six completed ISATs and returned surveys and five of each were included in the final analysis. The process by which participants completed the ISAT varied, some involving up to six stakeholders in the process and others only one. The time taken to complete the ISAT ranged from 2 hours to 3 days. Interventions considered for scalability were public health interventions and all but one involved a potential statewide scale-up. In terms of outcome, scalability scores across interventions varied, however, all but one intervention was recommended for scale-up. The remaining intervention was deemed to be promising but further information was required before assessing scalability. LESSONS LEARNT: The ISAT was perceived as a useful tool to assess the scalability of real-world health programs, with participants noting only minor limitations and challenges. The ISAT can be applied to a variety of population health interventions and identifies strengths and weaknesses in the evidence base for scale-up. This study revealed that decisions to scale up are often made despite potential weaknesses highlighted through the ISAT. This is likely a reflection of the critically influential role of contextual factors in decisions to scale up, whereby decision makers may balance a variety of considerations, of which evidence of scalability is only one factor.

Beyond weight loss: Impact of a weight management programme for mid-older Australians in private health insurance.

Weight-loss maintenance and lifestyle behaviour necessary to manage weight are undisputedly challenging. We evaluated a secondary prevention weight-loss maintenance programme for participants (n = 490) with weight-related chronic disease in the Australian private health insurance setting. This study investigated the impact of the maintenance programme on anthropometric and lifestyle risk behaviour changes after 6 and 12 months, and trends in weight-loss maintenance after 1 year. Using a pre- and post-test design, data were analysed with generalized linear mixed models for repeated measures to determine the effect of the programme on weight loss and lifestyle behaviour outcomes. After initially losing a clinically significant amount of weight (mean 9.1 kg), maintenance-programme participants maintained clinically significant weight loss (mean 7.6 kg) at 12 months. Rates of discontinuation in the programme were high (47% at 6 months and 73% at 12 months). Weight-loss maintenance was achieved by 76% of participants at 3 months and 62% at 6 months, stabilizing at 55% and 56% at 9 and 12 months, respectively. Greater initial weight loss was associated with weight-loss maintenance at 12 months. Participants <55 years demonstrated consistent weight-loss maintenance over this time but the odds for successful weight-loss maintenance for those ≥55 years continued to decrease over time. At maintenance-baseline, 68.3% of participants had sufficient physical activity for health; 61.4% and 19.8% met recommended fruit and vegetable consumption, respectively. All lifestyle risk behaviours were maintained at 12 months. A programme extending support strategies for maintaining weight-related behaviour shows promise to successfully support these changes over 12 months. There is a potentially important opportunity for targeted intervention at 6 to 9 months.

Intervention Scalability Assessment Tool: A decision support tool for health policy makers and implementers.

BACKGROUND: Promising health interventions tested in pilot studies will only achieve population-wide impact if they are implemented at scale across communities and health systems. Scaling up effective health interventions is vital as not doing so denies the community the most effective services and programmes. However, there remains a paucity of practical tools to assess the suitability of health interventions for scale-up. The Intervention Scalability Assessment Tool (ISAT) was developed to support policy-makers and practitioners to make systematic assessments of the suitability of health interventions for scale-up. METHODS: The ISAT was developed over three stages; the first stage involved a literature review to identify similar tools and frameworks that could be used to guide scalability assessments, and expert input to develop draft ISAT content. In the second stage, the draft ISAT tool was tested with end users. The third stage involved revising and re-testing the ISAT with end users to further refine the language and structure of the final ISAT. RESULTS: A variety of information and sources of evidence should be used to complete the ISAT. The ISAT consists of three parts. Part A: 'setting the scene' requires consideration of the context in which the intervention is being considered for scale-up and consists of five domains, as follows: (1) the problem; (2) the intervention; (3) strategic/political context; (4) evidence of effectiveness; and (5) intervention costs and benefits. Part B asks users to assess the potential implementation and scale-up requirements within five domains, namely (1) fidelity and adaptation; (2) reach and acceptability; (3) delivery setting and workforce; (4) implementation infrastructure; and (5) sustainability. Part C generates a graphical representation of the strengths and weaknesses of the readiness of the proposed intervention for scale-up. Users are also prompted for a recommendation as to whether the intervention (1) is recommended for scale-up, (2) is promising but needs further information before scaling up, or (3) does not yet merit scale-up. CONCLUSION: The ISAT fills an important gap in applied scalability assessment and can become a critical decision support tool for policy-makers and practitioners when selecting health interventions for scale-up. Although the ISAT is designed to be a health policy and practitioner tool, it can also be used by researchers in the design of research to fill important evidence gaps.

Sociodemographic and health risk profile associated with participation in a private health insurance weight loss maintenance and chronic disease management program.

Objective Identifying who participates in chronic disease management programs yields insights into program reach and appeal. This study investigated sustained participation in a remotely delivered weight loss maintenance program offered to Australian private health insurance members. Methods All participants completing an initial 18-week weight loss program were eligible for a maintenance phase. A pre-post test design was used and sociodemographic and anthropometric characteristics of those who did and did not opt in to the maintenance phase were compared using binary logistic regression. Results Maintenance phase participants lost more weight during the initial weight loss program (-2.2kg (P<0.001); body mass index -0.8kg/m2 (P<0.001)) than those who did not opt in. Participants who were obese (v. overweight) upon completion of the initial weight loss program were less likely to opt in to the maintenance phase (adjusted odds ratio (aOR) 1.76, 95% confidence interval (CI) 1.35-2.30, P<0.001) and participants aged ≥55 years were more likely to opt in (aOR 0.59, 95% CI 0.44-0.80, P<0.001) than those aged <55 years. Conclusions Understanding why health insurance members opt in to maintenance programs can assist the development of strategies to improve program reach. Younger participants and those who remain obese following a weight loss program may be targeted by private health insurers and service providers to increase weight loss maintenance program participation. What is known about the topic? Australian private health insurers offer chronic disease management programs to support members to manage obesity-related chronic disease. An 18-week weight loss and lifestyle modification program was extended to assist participants maintain weight loss and health benefits resulting from the initial program. This weight loss maintenance phase is novel in the private health insurance setting and is thought to be important to sustained health improvement. Although program reach is important to benefit those most in need, little is known about who sustains the use (or does not) of such programs. What does this paper add? This study provides an insight to the characteristics of participants more likely to opt in to a weight loss maintenance program. It highlights the sociodemographic and anthropometric characteristics associated with maintenance program uptake, identifying the subgroups less likely to opt in. These study findings are novel because they report on participation in a chronic disease management program with a focus on maintenance of weight loss. What are the implications for practitioners? These results will benefit private health insurers and service providers implementing maintenance programs for weight loss, providing an awareness of which participant groups to target to increase maintenance and reach. In addition, they offer avenues for future exploration, such as the generalisability and sustainability of chronic disease management programs. Although those not opting in are a difficult-to-access group, a qualitative study of reasons for not opting in to such a program would provide further information for program design, recruitment and retention.

Applying pragmatic approaches to complex program evaluation: A case study of implementation of the New South Wales Get Healthy at Work program.

ISSUE ADDRESSED: Complex health promotion programs, which can have multilevels of implementation and multi-components with nonlinear causal pathways, present many evaluation challenges. Traditional evaluation methods often fail to account for the complexity inherent in assessing these programs. In real-world settings, evaluations of complex programs are often beset by additional constraints of limited budgets and short timeframes. Determining whether a complex program is successful and how a program worked requires evaluators of complex programs to adopt a level of pragmatism. METHODS: This paper describes a pragmatic evaluation approach used to evaluate the Get Healthy at Work workplace health promotion program, implemented in New South Wales, Australia. Using the program as a case study, we describe some key principles for applying a pragmatic evaluation approach and use these principles to develop an appropriate evaluation strategy. RESULTS: The evaluation includes multiple research methods to assess program outputs and implementation; and identify emergent program impacts, within constrained resources. The evaluation was guided by epistemological flexibility, methodological comprehensiveness and operational practicality. CONCLUSION: Health promotion programs, such as state-wide obesity prevention programs, require appropriate evaluation methods which address their inherent complexity amidst the real-world evaluation constraints, and focuses on the essential evaluation needs. SO WHAT: The main complex program evaluation principles are applicable to other multilevel health promotion programs, challenged by methodological and practical or political constraints.

Evaluation of Get Healthy at Work, a state-wide workplace health promotion program in Australia.

BACKGROUND: Workplace health programs (WHPs) may improve adult health but very little evidence exists on multi-level WHPs implemented at-scale and so the relationship between program implementation factors and outcomes of WHPs are poorly understood. This study evaluated Get Healthy at Work (GHaW), a state-wide government-funded WHP in Australia. METHODS: A mixed-method design included a longitudinal quasi-experimental survey of businesses registered with GHaW and a comparison group of businesses surveyed over a 12-month period. Semi-structured interviews and focus groups with key contacts and employees of selected intervention group businesses and the service providers of the program were conducted to assess program adoption and adaptation. RESULTS: Positive business-level changes in workplace culture were observed over time among GHaW businesses compared with the control group. Multilevel regression modelling revealed perceptions that employees were generally healthy (p = 0.045 timeXgroup effect) and that the workplace promoted healthy behaviours (p = 0.004 timeXgroup effect) improved significantly while the control group reported no change in work culture perceptions. Changes in perceptions about work productivity were not observed; however only one third of businesses registered for the program had adopted GHaW during the evaluation period. Qualitative results revealed a number of factors contributing to program adoption: which depended on program delivery (e.g., logistics, technology and communication channels), design features of the program, and organisational factors (primarily business size and previous experience of WHPs). CONCLUSIONS: Evaluation of program factors is important to improve program delivery and uptake and to ensure greater scalability. GHaW has the potential to improve workplace health culture, which may lead to better health promoting work environments. These results imply that government can play a central role in enabling prioritisation and incentivising health promotion in the workplace.

Are Financial Incentives for Lifestyle Behavior Change Informed or Inspired by Behavioral Economics? A Mapping Review.

OBJECTIVE: To identify the behavioral economics (BE) conceptual underpinnings of lifestyle financial incentive (FI) interventions. DATA SOURCE: A mapping review of peer-reviewed literature was conducted by searching electronic databases. STUDY INCLUSION AND EXCLUSION CRITERIA: Inclusion criteria were real-world FI interventions explicitly mentioning BE, targeting individuals, or populations with lifestyle-related behavioral outcomes. Exclusion criteria were hypothetical studies, health professional focus, clinically oriented interventions. DATA EXTRACTION: Study characteristics were tabulated according to purpose, categorization of BE concepts and FI types, design, outcome measures, study quality, and findings. DATA SYNTHESIS AND ANALYSIS: Financial incentives were categorized according to type and payment structure. Behavioral economics concepts explicitly used in the intervention design were grouped based on common patterns of thinking. The interplay between FI types, BE concepts, and outcome was assessed. RESULTS: Seventeen studies were identified from 1452 unique records. Analysis showed 76.5% (n = 13) of studies explicitly incorporated BE concepts. Six studies provided clear theoretical justification for the inclusion of BE. No pattern in the type of FI and BE concepts used was apparent. CONCLUSIONS: Not all FI interventions claiming BE inclusion did so. For interventions that explicitly included BE, the degree to which this was portrayed and woven into the design varied. This review identified BE concepts common to FI interventions, a first step in providing emergent and pragmatic information to public health and health promotion program planners.

Acceptability of financial incentives for maintenance of weight loss in mid-older adults: a mixed methods study.

BACKGROUND: Health insurers worldwide implement financial incentive schemes to encourage health-related behaviours, including to facilitate weight loss. The maintenance of weight loss is a public health challenge, and as non-communicable diseases become more prevalent with increasing age, mid-older adults could benefit from programs which motivate weight loss maintenance. However, little is understood about their perceptions of using financial incentives to maintain weight loss. METHODS: We used mixed methods to explore the attitudes and views of participants who had completed an Australian weight loss and lifestyle modification program offered to overweight and obese health insurance members with weight-related chronic diseases, about the acceptability and usefulness of different types of financial incentives to support weight loss maintenance. An online survey was completed by 130 respondents (mean age = 64 years); and a further 28 participants (mean age = 65 years) attended six focus groups. RESULTS: Both independent samples of participants supported a formalised maintenance program. Online survey respondents reported that non-cash (85.2%) and cash (77%) incentives would be potentially motivating; but only 40.5% reported that deposit contracts would motivate weight loss maintenance. Results of in-depth discussions found overall low support for any type of financial incentive, but particularly deposit contracts and lotteries. Some participants expressed that improved health was of more value than a monetary incentive and that they felt personally responsible for their own health, which was at odds with the idea of financial incentives. Others suggested ongoing program and peer support as potentially useful for weight loss maintenance. CONCLUSIONS: If financial incentives are considered for mid-older Australian adults in the health insurance setting, program planners will need to balance the discordance between participant beliefs about the individual responsibility for health and their desire for external supports to motivate and sustain weight loss maintenance.

Correlates of physical activity among Australian Indigenous and non-Indigenous adolescents.

OBJECTIVE: Physical inactivity is an important modifiable cause of the excess burden of disease among Indigenous Australians. We describe physical activity patterns and influencing factors, comparing Indigenous and non-Indigenous adolescents. METHODS: Indigenous (n=359) and non-Indigenous (n=637) adolescents aged 13-17 years from disadvantaged New South Wales regions completed a health and lifestyle survey. Socio-demographic, social, psychosocial and health correlates of out of school physical activity (high vs. low) among the whole sample, and stratified by Indigenous status were examined. RESULTS: Only 21% of Indigenous and 28% of non-Indigenous adolescents achieved higher levels of physical activity. Overall, higher levels were associated with being male; sports team membership; lower levels of TV viewing time and having an employed mother. Indigenous girls were less active than boys (OR=0.36; 85%CI=0.24-0.54), as were those whose mothers were unemployed (OR=0.66; 95%CI=0.40-1.09). Among non-Indigenous adolescents, high levels of physical activity were associated with sports team membership (OR=2.28; 95%CI=1.39-3.74) and community involvement (OR=1.46; 95%CI=1.04-2.06). CONCLUSIONS: Physical activity levels were similarly low among disadvantaged Indigenous and non-Indigenous adolescents. Some influencing factors existed across the whole sample; others in stratification by Indigenous status. Implications for public health: Early and targeted, supportive approaches are necessary. Some apply to disadvantaged adolescents broadly; others are Indigenous or non-Indigenous specific.

Evaluation of the implementation of Get Healthy at Work, a workplace health promotion program in New South Wales, Australia.

Issue addressed Get Healthy at Work (GHaW) is a statewide program to reduce chronic disease risk among NSW workers by helping them make small changes to modifiable lifestyle chronic disease risk factors and create workplace environments that support healthy lifestyles. It has two primary components: a workplace health program (WHP) for businesses and online or face-to-face Brief Health Checks (BHCs) for workers. In this paper, we discuss our evaluation to identify areas for improvement in the implementation of WHP and to assess the uptake of BHCs by workers. Methods Routinely collected WHP and BHC program data between July 2014 and February 2016 were analysed. A baseline online survey regarding workplace health promotion was conducted with 247 key contacts at registered GHaW worksites and a control group of 400 key contacts from a range of businesses. Seven telephone interviews were conducted with service provider key contacts. Results As at February 2016, 3133 worksites (from 1199 businesses) across NSW had registered for GHaW, of which 36.8% started the program. Similar proportions of GHaW (34.0%) and control (31.7%) businesses had existing WHPs. BHCs were completed by 12740 workers, and of those whose risks were assessed, 78.9% had moderate or high risk of diabetes and 33.6% had increased or high risk of cardiovascular disease. Approximately half (50.6%) of eligible BHC participants were referred to Get Healthy Information and Coaching Service (GHS) and 37.7% to Quitline. The uptake of face-to-face BHCs compared with online was significantly higher for males, people aged over 35 years, those undertaking less physical activity and those less likely to undertake active travel to work. Service providers suggested that the program's structured five-step pathway did not offer adequate flexibility to support worksites' progress through the program. Conclusions During the evaluation period, a substantial number of NSW worksites registered for GHaW but their progress was slow because of the limited flexibility offered by the program model. So what? Workplace-based health promotion programs have potential to reach people at risk of chronic disease, but the implementation of such programs need to be more flexible than traditional health promotion programs in terms of delivery modes and timeframes.

Beyond fun runs and fruit bowls: an evaluation of the meso-level processes that shaped the Australian Healthy Workers Initiative.

Issue addressed The Australian National Partnership Agreement on Preventive Health (NPAPH) charged states and territories with the development and implementation of the Healthy Workers Initiative (HWI) to improve workplace health promotion. Most evaluation efforts focus on the setting (micro) level. In the present study the HWI at the meso-level (state program development) was examined to understand how jurisdictions navigated theoretical, practical, and political priorities to develop their programs, and the programmatic choices that support or hinder perceived success. Methods Interviews with HWI program coordinators and managers across seven Australian jurisdictions explored decision-making processes related to developing and implementing the HWI and the impact of defunding. Interviews were audio-recorded, transcribed and analysed using thematic analysis. Results Despite taking a variety of approaches to the HWI, jurisdictions had common goals, namely achieving sustainability and capacity for meaningful change. These goals transcended the performance indicators set out by the NPAPH, which were considered unachievable in the given timeframe. Four ways jurisdictions sought to achieve their goals were identified, these were: 1) taking an embedded approach to workplace health promotion; 2) ensuring relevance of the HWI to businesses; 3) engaging in collaborative partnerships with agencies responsible for implementation; and 4) cultivating evolution of the HWI. Conclusions This meso-level evaluation has provided valuable insights into how health promotion program coordinators translate broad, national-level initiatives into state-specific programs and how they define program success. The study findings also highlight how broader, contextual factors, such as jurisdiction size, political imperatives and funding decisions impact on the implementation and success of a national health promotion initiative. So what? When evaluating the translation of complex initiatives, a meso-level analysis can reveal valuable principles for informing program effectiveness and sustainability. It can also identify alignment between macro- and meso-level goals and where macro-level specifications may hinder or assist those goals.

A profile of callers to the New South Wales Quitline, Australia, 2008-2011.

INTRODUCTION: One population-level solution to smoking cessation are quitlines, telephone-based services to aid quitting. Monitoring the profile of quitline callers in a changing tobacco policy environment is important for informing future policy strategies and identifying target groups to improve the reach and impact of quitline services. METHODS: De-identified data from 43,618 new callers to the New South Wales Quitline, Australia between January 2008 and October 2011 (inclusive) were extracted from the Quitline database. Regression analyses explored the effect of year of first call on the distribution of demographic and smoking-related variables. RESULTS: Men calling the Quitline increased proportionately (prevalence ratio [PR] = 1.05, 95% CI = 1.03-1.08), but callers from non-major city areas fell (PR = 0.90, 95% CI = 0.87-0.93) in 2011 versus 2008. The proportion of callers not working demonstrated a significant increasing linear trend (PR = 1.08, p < .001), although area-level socioeconomic status did not change. The proportions of new Quitline callers who had stopped smoking (relative to still smoking) (relative risk ratio [RRR] = 1.29, 95% CI = 1.14-1.46) and who were classified as low nicotine dependent (vs. high nicotine dependent, RRR = 1.60, 95% CI = 1.39-1.83) were higher in 2011 versus 2008. Proportionately, more callers nominated "money" as a motivation to quit in 2010 (PR = 1.58, 95% CI = 1.49-1.66) and 2011 (PR = 1.70, 95% CI = 1.62-1.79) compared with 2008. CONCLUSIONS: Quitline callers showed decreasing tobacco consumption and dependence 2008 to 2011, but remained more addicted than the average NSW smoker. Clear effects of tobacco policy were shown, as money as a motivator increased dramatically in conjunction with increased tobacco taxation, highlighting the importance of promoting cessation services concurrent with policy change to capitalize on increased motivation to quit.

Associations between socio-economic position and sedentary behaviour in a large population sample of Australian middle and older-aged adults: The Social, Economic, and Environmental Factor (SEEF) Study.

OBJECTIVE: Socioeconomic position (SEP) is associated with health-related behaviours but little is known about the socioeconomic gradient of sedentary behaviour. This study aims to assess the associations between SEP and multiple indicators of sedentary behaviour among Australian mid-to-older age adults. METHOD: Multivariate analysis of 60,404 (>47years, 26,366 in paid employment) participants in the Social, Economic, and Environmental Factor Study, examining the associations between SEP (educational attainment, household income, and an area-level index of socioeconomic advantage) and self-reported daily time for total sitting, TV viewing, computer use, and car driving. Data was collected in 2010 in New South Wales, Australia. RESULTS: For participants in paid employment, we found positive associations with all SEP indicators for total sitting and computer use time, and inverse associations for TV viewing. Driving time was inversely associated with education level only. We observed similar but less pronounced patterns of associations among participants not in paid employment. CONCLUSION: Higher SEP is linked to higher total sitting and computer time, particularly among those in paid employment, and lower TV viewing time.

Australian athletes' health behaviours and perceptions of role modelling and marketing of unhealthy products.

ISSUE ADDRESSED: This study examined Australian athletes' support for athletes' role in promoting physical activity and obesity prevention, the acceptability of unhealthy products promotion in sport, and their own health behaviours. METHODS: Surveys were conducted with (n = 1990) elite and sub-elite athletes recruited from 22 sports across Australia. Athletes' perceptions and behaviours were analysed across demographic and sport-related factors (e.g. individual vs team sport) and correlations calculated between perceptions and health behaviours. RESULTS: Most respondents supported a role for athletes in promoting physical activity and obesity prevention, and disagreed that athletes should promote unhealthy foods and alcohol (73.9%). Athletes reported low smoking rates, but high rates of binge drinking. Female, younger, individual and amateur athletes had more health-positive perceptions and healthier behaviours than older, male, team and professional athletes. More sympathy towards junk food and alcohol advertising in sport and less support for athletes as role models were associated with more unhealthy behaviours. CONCLUSIONS: Elite athletes are receptive to supporting health promotion through sport and many are not in agreement with the promotion of unhealthy products in sport or by sports people. Improving elite athletes' health behaviours would benefit not only the individual but also health promotion within elite sport.

Advertising of fast food to children on Australian television: the impact of industry self-regulation.

OBJECTIVE: To assess the impact of the quick-service restaurant industry (QSRI) self-regulatory initiative on fast-food advertising to children on Australian commercial television. DESIGN AND SETTING: Analysis of advertisements for foods on the three main free-to-air commercial television channels (channels 7, 9 and 10) in Sydney, Australia, over 4 days in both May 2009 and April 2010 in terms of: number of advertisements; types of food (coded core [healthy] foods, non-core [unhealthy] foods, miscellaneous foods; or fast foods); whether advertised meals were intended for children; whether advertisements were broadcast during children's peak viewing times; and whether the company in question was a signatory to the QSRI initiative. MAIN OUTCOME MEASURES: Change in the mean frequency and rate of food advertisements per hour from 2009 to 2010; change in the types of fast-food meals (healthier alternatives [at least one nutrient-dense, low-energy food considered part of a healthy diet for children], non-core [high in undesirable nutrients and not considered part of a healthy diet for children], and other) being advertised; and proportion of children's energy requirements provided by fast-food meals. RESULTS: From 2009 to 2010, the mean frequency of fast-food advertisements increased from 1.1 to 1.5 per hour. While non-core fast foods comprised a lesser share of fast-food advertising in 2010 than 2009, the mean frequency at which they were advertised during times when the largest numbers of children were watching television remained the same (1.3 per hour in both 2009 and 2010). Family meals advertised for children's consumption in 2010 provided energy far in excess of children's requirements. CONCLUSIONS: Children's exposure to unhealthy fast-food advertising has not changed following the introduction of self-regulation, and some fast foods advertised for children's consumption contain excessive energy. The limited impact of self-regulation suggests that governments should define the policy framework for regulating fast-food advertising to children.

Industry self regulation of television food advertising: responsible or responsive?

INTRODUCTION: This study evaluated the impact of the Australian Food and Grocery Council (AFGC) self-regulatory initiative on unhealthy food marketing to children, introduced in January 2009. The study compared patterns of food advertising by AFGC and non-AFGC signatory companies in 2009, 2007 and 2006 on three Sydney commercial free-to-air television channels. METHODS: Data were collected across seven days in May 2006 and 2007, and four days in May 2009. Advertised foods were coded as core, non-core and miscellaneous. Regression for counts analyses was used to examine change in rates of advertisements across the sampled periods and differential change between AFGC-signatory or non-signatory companies between 2007 and 2009. RESULTS: Of 36 food companies that advertised during the 2009 sample period, 14 were AFGC signatories. The average number of food advertisements decreased significantly from 7.0 per hour in 2007 to 5.9 in 2009. There was a significant reduction in non-core food advertising from 2007 to 2009 by AFGC signatories compared with non-signatory companies overall and during peak times, when the largest numbers of children were viewing. There was no reduction in the rate of non-core food advertisements by all companies, and these advertisements continue to comprise the majority during peak viewing times. DISCUSSION: While some companies have responded to pressures to reduce unhealthy food advertising on television, the impact of the self-regulatory code is limited by the extent of uptake by food companies. The continued advertising of unhealthy foods indicates that this self-regulatory code does not adequately protect children.