Trajectories of Loneliness During Adolescence Predict Subsequent Symptoms of Depression and Positive Wellbeing.

There is a need to identify the outcomes of changes in loneliness during adolescence, and to consider this within a multidimensional framework of loneliness. This study considered the effects of different trajectories of change in Isolation Loneliness and in Friendship Loneliness upon both positive wellbeing and symptoms of depression. To achieve this, 1782 (43% female; 12.92 years old at the start of the study, SD = 1.60) young people took part in a longitudinal study with four data points across 2 years. Four Isolation Loneliness trajectories and five Friendship Loneliness trajectories were identified. Youth who experienced low levels of Isolation Loneliness that subsequently increased appear to be at particular risk for poor outcomes. Similarly, initially high levels of Friendship Loneliness that decreased rapidly, or which began at a low level and only increased marginally, seem to also be a risk. Loneliness is a multi-dimensional construct and its development during adolescence impacts upon young people's depressive symptomatology and positive mental wellbeing.

Play Active physical activity policy intervention and implementation support in early childhood education and care: results from a pragmatic cluster randomised trial.

BACKGROUND: Policy interventions to increase physical activity in early childhood education and care (ECEC) services are effective in increasing physical activity among young children. However, a large proportion of ECEC services do not have nor implement a physical activity policy. Play Active is an evidence-informed physical activity policy intervention with implementation support strategies to enable ECEC services to successfully implement their policy. This study examined the effectiveness, implementation, and process outcomes of Play Active. METHODS: A pragmatic cluster randomised trial in 81 ECEC services in Perth, Western Australia was conducted in 2021. Services implemented their physical activity policy over a minimum of three months. The effectiveness outcomes were changes in educator practices related to daily time provided for total physical activity and energetic play. Implementation outcomes included changes in director- and educator-reported uptake of policy practices and director-reported uptake of high impact and low effort policy practices. Process evaluation outcomes included awareness, fidelity, reach, and acceptability of the intervention and implementation strategies. Analysis involved descriptive statistics and generalised linear mixed effects models. RESULTS: There was a significant increase in the uptake of director-reported policy practices (p = 0.034), but no change in the uptake of the subset of high impact and low effort policy practices. Intervention group educators reported high awareness of the Play Active policy recommendations (90%). Play Active acceptability was high among educators (83%) and directors (78%). Fidelity and reach were high for most implementation support strategies (> 75%). There were no significant changes in the amount of physical activity or energetic play educators provided to children or in the proportion of educators providing the policy recommended ≥ 180 min of physical activity/day or ≥ 30 min of energetic play/day for intervention compared to wait-listed comparison services. CONCLUSIONS: Play Active resulted in significantly higher uptake of physical activity practices. However, there was no change in the amount of physical activity provided to children, which may be explained by the relatively short policy implementation period. Importantly, Play Active had high awareness, fidelity, reach, and acceptability. Future research should investigate the effectiveness of Play Active over longer implementation periods and its scalability potential. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (reference number 12620001206910, registered 13/11/2020, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378304&isReview=true ).

A collaborative approach to adopting/adapting guidelines. The Australian 24-hour movement guidelines for children (5-12 years) and young people (13-17 years): An integration of physical activity, sedentary behaviour, and sleep.

BACKGROUND: In 2018, the Australian Government updated the Australian Physical Activity and Sedentary Behaviour Guidelines for Children and Young People. A requirement of this update was the incorporation of a 24-hour approach to movement, recognising the importance of adequate sleep. The purpose of this paper was to describe how the updated Australian 24-Hour Movement Guidelines for Children and Young People (5 to 17 years): an integration of physical activity, sedentary behaviour and sleep were developed and the outcomes from this process. METHODS: The GRADE-ADOLOPMENT approach was used to develop the guidelines. A Leadership Group was formed, who identified existing credible guidelines. The Canadian 24-Hour Movement Guidelines for Children and Youth best met the criteria established by the Leadership Group. These guidelines were evaluated based on the evidence in the GRADE tables, summaries of findings tables and recommendations from the Canadian Guidelines. We conducted updates to each of the Canadian systematic reviews. A Guideline Development Group reviewed, separately and in combination, the evidence for each behaviour. A choice was then made to adopt or adapt the Canadian recommendations for each behaviour or create de novo recommendations. We then conducted an online survey (n=237) along with three focus groups (n=11 in total) and 13 key informant interviews. Stakeholders used these to provide feedback on the draft guidelines. RESULTS: Based on the evidence from the Canadian systematic reviews and the updated systematic reviews in Australia, the Guideline Development Group agreed to adopt the Canadian recommendations and, apart from some minor changes to the wording of good practice statements, maintain the wording of the guidelines, preamble, and title of the Canadian Guidelines. The Australian Guidelines provide evidence-informed recommendations for a healthy day (24-hours), integrating physical activity, sedentary behaviour (including limits to screen time), and sleep for children (5-12 years) and young people (13-17 years). CONCLUSIONS: To our knowledge, this is only the second time the GRADE-ADOLOPMENT approach has been used to develop movement behaviour guidelines. The judgments of the Australian Guideline Development Group did not differ sufficiently to change the directions and strength of the recommendations and as such, the Canadian Guidelines were adopted with only very minor alterations. This allowed the Australian Guidelines to be developed in a shorter time frame and at a lower cost. We recommend the GRADE-ADOLOPMENT approach, especially if a credible set of guidelines that was developed using the GRADE approach is available with all supporting materials. Other countries may consider this approach when developing and/or revising national movement guidelines.

The Physical Activity Messaging Framework (PAMF) and Checklist (PAMC): International consensus statement and user guide.

Effective physical activity messaging plays an important role in the pathway towards changing physical activity behaviour at a population level. The Physical Activity Messaging Framework (PAMF) and Checklist (PAMC) are outputs from a recent modified Delphi study. This sought consensus from an international expert panel on how to aid the creation and evaluation of physical activity messages. In this paper, we (1) present an overview of the various concepts within the PAMF and PAMC, (2) discuss in detail how the PAMF and PAMC can be used to create physical activity messages, plan evaluation of messages, and aid understanding and categorisation of existing messages, and (3) highlight areas for future development and research. If adopted, we propose that the PAMF and PAMC could improve physical activity messaging practice by encouraging evidence-based and target population-focused messages with clearly stated aims and consideration of potential working pathways. They could also enhance the physical activity messaging research base by harmonising key messaging terminologies, improving quality of reporting, and aiding collation and synthesis of the evidence.

Predictors of uptake of general and tailored services to improve employee health and wellbeing.

ISSUE ADDRESSED: Healthy workplace programs can improve employee health and wellbeing. However, there is little research on how they are adopted by organisations. The study aimed to investigate uptake and predictors of service use amongst organisations utilising a comprehensive government-funded healthy workplace program. METHODS: Employees taking part in the Healthier Workplaces WA program can access general services (ie, basic information on workplace health and wellbeing) and tailored services (ie, personalised support on implementing changes). A sample of 358 eligible program participants from 204 organisations completed a service experience survey 6 months after engaging with any service. Predictors of service use were analysed using a Kruskal-Wallis H test. RESULTS: On average, respondents accessed 3.4 (out of 7) services. General services were accessed more frequently than tailored services. The Kruskal-Wallis H test showed that respondents working in Human Resources or Health and Safety and those from large organisations were more likely to access a greater range of services compared to employees in other roles and those working in small to medium organisations. Additionally, greater perceived support from management or co-workers was associated with greater service use. CONCLUSIONS: Respondents reported accessing general services more than tailored services. Service use was greater amongst those who perceived greater support from their managers and/or co-workers, those who worked in large organisations and those who worked in HR/OHS. SO WHAT?: These findings are informative for practitioners assisting organisations to improve health and wellbeing initiatives and service providers interested in increasing service uptake. A mix of general and tailored services is likely to be useful in building employees' capacity to increase health and wellbeing in their workplace. Support from management and co-workers is an important facilitator, and small organisations may require more focussed targeting due to the lower tendency to engage with these programs and increased benefits.

Development of physical activity policy and implementation strategies for early childhood education and care settings using the Delphi process.

BACKGROUND: The aim of this study was to gain consensus on an evidence informed physical activity policy template for early childhood education and care (ECEC) and determine best-practice dissemination and implementation strategies using the Delphi process. METHODS: Three-round modified Delphi methodology. During round one an expert working group developed an evidence informed ECEC specific physical activity policy template. Rounds two and three involved national online surveys to seek insight from a group of experts on the draft physical activity policy template. RESULTS: Ninety per cent of experts reported ECEC services are fully responsible for having a physical activity policy. There was consensus on the components of the policy and key physical activity and sedentary behaviour statements and recommendations. The most effective methods for disseminating a physical activity policy to ECEC providers included online (websites, social and electronic media), ECEC targeted launch events, direct mail outs and via professional associations. Twenty five key strategies related to management, supervisors and educators; the ECEC physical environment; communicating with families; and accreditation, monitoring and review, were identified as necessary for the successful implementation of physical activity policy in ECEC. Experts reached consensus on nine of these strategies indicating they were both easy to implement and likely to have a high level of influence. Key barriers and enablers to implementing ECEC-specific physical activity were also identified. CONCLUSIONS: This evidence informed physical activity policy template for ECEC provides recommendations on the amount of physical activity and sedentary time (including screen time) children should have whilst attending ECEC and aligns with national/international guidelines. A number of effective physical activity policy implementation strategies for ECEC were identified. An important next step is advocating for the introduction of legislative requirements for services to have and implement a physical activity policy.

An assessment of program evaluation methods and quality in Australian prevention agencies.

ISSUE ADDRESSED: This study aimed to examine evaluation methods and quality in Australian health promotion agencies and the factors associated with this. The evidence base for prevention strategies is limited, with the evidence generated through program evaluation by health promotion and disease prevention agencies lacking rigour. Despite the need to improve the quality of evaluation, there is limited evidence of what influences evaluation quality in the prevention field. METHODS: Data were collected using the Evaluation Practice Analysis Survey and an audit and appraisal of evaluation reports. Descriptive analysis was used to examine evaluation characteristics and multivariable regression was used to explore the association between evaluation and organisational attributes and evaluation quality. RESULTS: In total, 392 evaluation reports were reviewed from 78 government and non-government agencies. Process evaluation was conducted most frequently, followed by impact evaluation. Overall evaluation quality was low (median 24.5%). In multivariable regression analysis, only two factors were associated with evaluation quality: health promotion budget (ratio of geometric means 1.53 [95% CI 1.02-2.29]); and, conducting statewide or national prevention programs (1.38 [95% CI 1.05-1.82]). CONCLUSIONS: The findings show that the potential to improve evaluation quality is greatest in smaller organisations that deliver health promotion at a local or regional scale. SO WHAT?: By improving the rigour of existing evaluation, there is opportunity to build the evidence base for prevention strategies, which highlights the importance of embedding the enablers of program learning and evidence generation within health promotion and prevention organisations.

Twenty years of capacity building and partnership: A case study of a health promotion scholarship program.

ISSUE ADDRESSED: Building health promotion workforce capacity and infrastructure is critical to ensure a strong evidence base for effective interventions, sustainability and ultimately positive health outcomes for the community. Accordingly, there is a need to build workforce capacity by providing pathways into the health promotion sector with opportunities for core health promotion competency development. Currently, there is a lack of transition programs and graduate-specific positions in health promotion. METHODS: This study presents a descriptive case study of a 20-year health promotion scholarships program administered by the Australian Health Promotion Association (WA Branch) and Healthway for health promotion graduates and Aboriginal health workers. Scholarship recipients and supervisors reported on demographics, projects and perspectives on the value of participating in the program. RESULTS: More than 2 million dollars has been invested to provide health promotion career pathways in WA via 100 scholarships. Key themes relating to program value included as follows: practical application of theoretical concepts; reciprocity; and building skills and capacity in both recipients and supervisors. CONCLUSIONS: The scholarships program results in a number of benefits to the recipient, host organisation and the overall health promotion sector and is an example of long-term investment to build health promotion capacity with potential for replication. SO WHAT?: Investment in competency-driven health promotion scholarships to create dedicated health promotion career pathways for new practitioners contributes to the capacity of an effective health promotion workforce.

Association of the LiveLighter mass media campaign with consumption of sugar-sweetened beverages: Cohort study.

ISSUE ADDRESSED: Evaluation of the behavioural impact of Western Australia's LiveLighter healthy weight and lifestyle campaign focussed on decreasing consumption of sugar-sweetened beverages (SSBs) using graphic imagery, as well as monitoring unintended consequences. METHODS: A cohort design with pre-campaign telephone survey of Western Australian adults aged 25-49 (Time 1 May/Jun 2013: N = 1504) undertaken and repeated following the campaign (Time 2 Aug/Sep 2013: N = 822). RESULTS: Post-campaign awareness was 67% with respondents in low socio-economic areas most likely to report viewing the campaign frequently. There was evidence of reduced SSB intake from baseline to follow-up among frequent (4+/week) SSB consumers (22% cf. 16%; P = 0.003) and some evidence among overweight (BMI 25+) weekly SSB consumers (56% cf. 48%; P = 0.013). There was also some evidence consumption of sweet food decreased (3+/week: 53% cf. 48%; P = 0.035) while fruit, vegetable and fast food consumption remained stable. Knowledge of potential health consequences of SSBs increased (70% cf. 82%; P < 0.001) with no change in knowledge of potential health consequences of overweight generally (86% cf. 89%). Importantly, there was no increase in endorsement of overweight stereotypes. CONCLUSIONS: The LiveLighter "Sugary Drinks" campaign positively impacted adults' knowledge and behaviour with regard to SSB consumption in a pattern specific to the campaign messaging and without adverse impact on weight-related stereotypes. SO WHAT?: Findings support the use of mass media for healthy lifestyle change. They suggest the public are receptive to undertaking the campaign's simple concrete lifestyle recommendation and provide an indication of the campaign dose required to achieve positive behaviour change.

Can front-of-pack labels influence portion size judgements for unhealthy foods?

OBJECTIVE: By clearly conveying the healthiness of a food, front-of-pack (FOP) labels have the potential to influence the portion size considered appropriate for consumption. The present study examined the how the Daily Intake Guide (DIG), Multiple Traffic Lights (MTL) and Health Star Rating (HSR) FOP labels affect judgements of appropriate portion sizes of unhealthy foods compared with when no FOP label is present. DESIGN: Respondents viewed mock packages of unhealthy variations of pizzas, cookies, yoghurts and cornflakes featuring the DIG, MTL, HSR or no FOP label, and indicated the portion size they believed should be eaten of each food on a single occasion. SETTING: The survey was completed on the respondent's personal computer. SUBJECTS: A total of 1505 Australian adults provided 4166 ratings across 192 mock packages relating to four product categories: pizza, yoghurt, cornflakes and cookies. RESULTS: Compared with no FOP label, the HSR resulted in a small but significant reduction in the portion size selected as appropriate for consumption of pizzas and cornflakes (P<0·05). The MTL resulted in smaller portions of cornflakes being selected compared with no FOP label (P<0·05). CONCLUSIONS: Respondents perceived smaller portion sizes as appropriate for some, but not all, of the foods tested when FOP labels with more interpretative formats (HSR, MTL) appeared on-pack compared with no FOP label. No effect was found for the less interpretive FOP label (the DIG). Interpretive FOP labels may have the potential to influence portion size judgements, albeit at modest levels.

A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years.

BACKGROUND: High quality, longitudinal data describing young people's screen use across a number of distinct forms of screen activity is missing from the literature. This study tracked multiple screen use activities (passive screen use, gaming, social networking, web searching) amongst 10- to 17-year-old adolescents across 24 months. METHODS: This study tracked the screen use of 1948 Australian students in Grade 5 (n = 636), Grade 7 (n = 672), and Grade 9 (n = 640) for 24 months. At approximately six-month intervals, students reported their total screen time as well as time spent on social networking, passive screen use, gaming, and web use. Patterns of screen use were determined using latent growth curve modelling. RESULTS: In the Grades 7 and 9 cohorts, girls generally reported more screen use than boys (by approximately one hour a day), though all cohorts of boys reported more gaming. The different forms of screen use were remarkably stable, though specific cohorts showed change for certain forms of screen activity. CONCLUSION: These results highlight the diverse nature of adolescent screen use and emphasise the need to consider both grade and sex in future research and policy.

Culture, management and finances as key aspects for healthy workplace initiatives.

The aim of this study was to qualitatively explore the barriers and enablers to implementing healthy workplace initiatives in a sample of workplaces based in Perth, Western Australia. In-depth interviews were conducted with representatives from 31 organizations representing small, medium and large businesses in the Perth metropolitan area which reported having healthy workplace initiatives. In total, 43 factors were mentioned as influencing the implementation of healthy workplace initiatives. Factors appearing to exert the most influence on the implementation of health promoting initiatives in this sample were culture; support from managers and staff; collaboration with industry providers; financial resources circumstances and the physical environment. These factors appeared to be mutually reinforcing and interconnected. Findings suggest there may be merit in applying an organizational development lens to the implementation of workplace health promotion initiatives as this could assist in leveraging enablers and minimizing barriers.

Reciprocal Relationships between Trajectories of Depressive Symptoms and Screen Media Use during Adolescence.

Adolescents are constantly connected with each other and the digital landscape through a myriad of screen media devices. Unprecedented access to the wider world and hence a variety of activities, particularly since the introduction of mobile technology, has given rise to questions regarding the impact of this changing media environment on the mental health of young people. Depressive symptoms are one of the most common disabling health issues in adolescence and although research has examined associations between screen use and symptoms of depression, longitudinal investigations are rare and fewer still consider trajectories of change in symptoms. Given the plethora of devices and normalisation of their use, understanding potential longitudinal associations with mental health is crucial. A sample of 1,749 (47% female) adolescents (10-17 years) participated in six waves of data collection over two years. Symptoms of depression, time spent on screens, and on separate screen activities (social networking, gaming, web browsing, TV/passive) were self-reported. Latent growth curve modelling revealed three trajectories of depressive symptoms (low-stable, high-decreasing, and low-increasing) and there were important differences across these groups on screen use. Some small, positive associations were evident between depressive symptoms and later screen use, and between screen use and later depressive symptoms. However, a Random Intercept Cross Lagged Panel Model revealed no consistent support for a longitudinal association. The study highlights the importance of considering differential trajectories of depressive symptoms and specific forms of screen activity to understand these relationships.

The impact of interpretive and reductive front-of-pack labels on food choice and willingness to pay.

BACKGROUND: This study examined how front-of-pack labels and product healthfulness affect choice and willingness to pay across a range of foods. It was hypothesized that: (i) product choice and (ii) willingness to pay would be more aligned with product healthfulness when healthfulness was expressed through the Health Star Rating, followed by the Multiple Traffic Light, then the Daily Intake Guide, and (iii) the Nutrition Facts Panel would be viewed infrequently. METHODS: Adults and children aged 10+ years (n = 2069) completed an online discrete choice task involving mock food packages. A 4 food type (cookies, corn flakes, pizza, yoghurt) × 2 front-of-pack label presence (present, absent) × 3 front-of-pack label type (Daily Intake Guide, Multiple Traffic Light, Health Star Rating) × 3 price (cheap, moderate, expensive) × 3 healthfulness (less healthy, moderately healthy, healthier) design was used. A 30 s time limit was imposed for each choice. RESULTS: Of the three front-of-pack labels tested, the Health Star Rating produced the largest differences in choices, with 40% (95% CIs: 38%-42%) of respondents selecting the healthier variant, 33% selecting the moderately healthy variant (95% CIs: 31%-35%), and 23% (95% CIs: 21%-24%) selecting the less healthy variant of the four products included in the study. The Multiple Traffic Light led to significant differences in choices between healthier (35%, 95% CIs: 33%-37%) and less healthy products (29%, 95% CIs: 27%-31%), but not moderately healthy products (32%, 95% CIs: 30%-34%). No significant differences in choices were observed by product healthfulness when the Daily Intake Guide was present. Only the Health Star Rating resulted in a significantly greater willingness to pay for healthier versus less healthy products. The Nutrition Facts Panel was viewed for only 7% of all mock packages. CONCLUSIONS: Front-of-pack labels that are more interpretive, such as the Health Star Rating, can be more effective at directing consumers towards healthier choices than reductive front-of-pack labels such as the Daily Intake Guide. The study results provide policy makers with clear guidance on the types of front-of-pack labels that are most likely to achieve positive health outcomes at a population level.

Development of the Adolescent Preoccupation with Screens Scale.

BACKGROUND: Although public health concerns have been raised regarding the detrimental health effects of increasing rates of electronic screen use among adolescents, such effects have been small. Instruments currently available tend to be lengthy, have a clinical research focus, and assess young people's screen use on specific screen-based activities (e.g., TV, computer, or internet). None appear to address screen use across a broad range of screens, including mobile devices and screen-based activities. The objective was to develop a new and short self-report scale for investigating adolescents' screen use across all screens and screen-based activities in non-clinical settings. METHODS: The Adolescent Preoccupation with Screens Scale (APSS) was developed over a three stage process. First, a review of the current literature and existing instruments was undertaken and suitable items identified. Second, the draft APSS was piloted with adolescents and item affectivity and discrimination indices were calculated. Third, a cross sectional school based online survey of 1967 Australian adolescents in grades 5 (10 years old), 7 (13 years) and 9 (15 years) from 25 randomly selected schools was conducted. RESULTS: Factor Analysis on a sub-sample of the data (n = 782) and Confirmatory Factor Analysis on the remaining sub-sample (n = 1185), supported a two-factor model. The first factor reflects adolescents' mood management with screen use, and the second reflects a behavioural preoccupation. The measure demonstrated strong invariance across sex and across Grades 5, 7, and 9. Both factors displayed good internal consistency (α = .91 and .87, respectively). Sex and grade differences on both scales were investigated and boys in Grade 5 reported higher levels of both mood management and behavioural preoccupation with screens. There were no sex differences on mood management in Grades 7 and 9, but girls reported higher behavioural preoccupation in both these later grades. CONCLUSION: The APSS provides researchers with a new, brief and robust measure of potentially problematic screen use across a wide array of screens, including mobile devices, so readily accessed during adolescence.

A collaborative approach to adopting/adapting guidelines - The Australian 24-Hour Movement Guidelines for the early years (Birth to 5 years): an integration of physical activity, sedentary behavior, and sleep.

BACKGROUND: In 2017, the Australian Government funded the update of the National Physical Activity Recommendations for Children 0-5 years, with the intention that they be an integration of movement behaviours across the 24-h period. The benefit for Australia was that it could leverage research in Canada in the development of their 24-h guidelines for the early years. Concurrently, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group published a model to produce guidelines based on adoption, adaption and/or de novo development using the GRADE evidence-to-decision framework. Referred to as the GRADE-ADOLOPMENT approach, it allows guideline developers to follow a structured and transparent process in a more efficient manner, potentially avoiding the need to unnecessarily repeat costly tasks such as conducting systematic reviews. The purpose of this paper is to outline the process and outcomes for adapting the Canadian 24-Hour Movement Guidelines for the Early Years to develop the Australian 24-Hour Movement Guidelines for the Early Years guided by the GRADE-ADOLOPMENT framework. METHODS: The development process was guided by the GRADE-ADOLOPMENT approach. A Leadership Group and Consensus Panel were formed and existing credible guidelines identified. The draft Canadian 24-h integrated movement guidelines for the early years best met the criteria established by the Panel. These were evaluated based on the evidence in the GRADE tables, summaries of findings tables and draft recommendations from the Canadian Draft Guidelines. Updates to each of the Canadian systematic reviews were conducted and the Consensus Panel reviewed the evidence for each behaviour separately and made a decision to adopt or adapt the Canadian recommendations for each behaviour or create de novo recommendations. An online survey was then conducted (n = 302) along with five focus groups (n = 30) and five key informant interviews (n = 5) to obtain feedback from stakeholders on the draft guidelines. RESULTS: Based on the evidence from the Canadian systematic reviews and the updated systematic reviews in Australia, the Consensus Panel agreed to adopt the Canadian recommendations and, apart from some minor changes to the wording of good practice statements, keep the wording of the guidelines, preamble and title of the Canadian Guidelines. The Australian Guidelines provide evidence-informed recommendations for a healthy day (24-h), integrating physical activity, sedentary behaviour (including limits to screen time), and sleep for infants (<1 year), toddlers (1-2 years) and preschoolers (3-5 years). CONCLUSIONS: To our knowledge, this is only the second time the GRADE-ADOLOPMENT approach has been used. Following this approach, the judgments of the Australian Consensus Panel did not differ sufficiently to change the directions and strength of the recommendations and as such, the Canadian recommendations were adopted with very minor alterations. This allowed the Guidelines to be developed much faster and at lower cost. As such, we would recommend the GRADE-ADOLOPMENT approach, especially if a credible set of guidelines, with all supporting materials and developed using a transparent process, is available. Other countries may consider using this approach when developing and/or revising national movement guidelines.

Consumers' responses to front-of-pack labels that vary by interpretive content.

Previous research has shown that front-of-pack labels (FoPLs) can assist people to make healthier food choices if they are easy to understand and people are motivated to use them. There is some evidence that FoPLs providing an assessment of a food's health value (evaluative FoPLs) are easier to use than those providing only numerical information on nutrients (reductive FoPLs). Recently, a new evaluative FoPL (the Health Star Rating (HSR)) has been introduced to Australia and New Zealand. The HSR features a summary indicator, differentiating it from many other FoPLs being used around the world. The aim of this study was to understand how consumers of all ages use and make sense of reductive FoPLs and evaluative FoPLs including evaluative FoPLs with and without summary indicators. Ten focus groups were conducted in Perth, Western Australia with adults (n = 50) and children aged 10-17 years (n = 35) to explore reactions to one reductive FoPL (the Daily Intake Guide), an existing evaluative FoPL (multiple traffic lights), and a new evaluative FoPL (the HSR). Participants preferred the evaluative FoPLs over the reductive FoPL, with the strongest preference being for the FoPL with the summary indicator (HSR). Discussions revealed the cognitive strategies used when interpreting each FoPL (e.g., using cut offs, heuristics, and the process of elimination), which differed according to FoPL format. Most participants reported being motivated to use the evaluative FoPLs (particularly the HSR) to make choices about foods consumed as part of regular daily meals, but not for discretionary foods consumed as snacks or deserts. The findings provide further evidence of the potential utility of evaluative FoPLs in supporting healthy food choices and can assist policy makers in selecting between alternative FoPL formats.

Employers' views on the promotion of workplace health and wellbeing: a qualitative study.

BACKGROUND: The evidence surrounding the value of workplace health promotion in positively influencing employees' health and wellbeing via changes to their health behaviours is growing. The aim of the study was to explore employers' views on the promotion of workplace health and wellbeing and the factors affecting these views. METHODS: Using a qualitative phenomenological approach, 10 focus groups were conducted with employers selected from a range of industries and geographical locations within Western Australia. The total sample size was 79. RESULTS: Three factors were identified: employers' conceptualization of workplace health and wellbeing; employers' descriptions of (un)healthy workers and perceptions surrounding the importance of healthy workers; and employers' beliefs around the role the workplace should play in influencing health. CONCLUSIONS: Progress may be viable in promoting health and wellbeing if a multifaceted approach is employed taking into account the complex factors influencing employers' views. This could include an education campaign providing information about what constitutes health and wellbeing beyond the scope of occupational health and safety paradigms along with information on the benefits of workplace health and wellbeing aligned with perceptions relating to healthy and unhealthy workers.

Virtually impossible: limiting Australian children and adolescents daily screen based media use.

BACKGROUND: Paediatric recommendations to limit children's and adolescents' screen based media use (SBMU) to less than two hours per day appear to have gone unheeded. Given the associated adverse physical and mental health outcomes of SBMU it is understandable that concern is growing worldwide. However, because the majority of studies measuring SBMU have focused on TV viewing, computer use, video game playing, or a combination of these the true extent of total SBMU (including non-sedentary hand held devices) and time spent on specific screen activities remains relatively unknown. This study assesses the amount of time Australian children and adolescents spend on all types of screens and specific screen activities. METHODS: We administered an online instrument specifically developed to gather data on all types of SBMU and SBMU activities to 2,620 (1373 males and 1247 females) 8 to 16 year olds from 25 Australian government and non-government primary and secondary schools. RESULTS: We found that 45% of 8 year olds to 80% of 16 year olds exceeded the recommended < 2 hours per day for SBMU. A series of hierarchical linear models demonstrated different relationships between the degree to which total SBMU and SBMU on specific activities (TV viewing, Gaming, Social Networking, and Web Use) exceeded the < 2 hours recommendation in relation to sex and age. CONCLUSIONS: Current paediatric recommendations pertaining to SBMU may no longer be tenable because screen based media are central in the everyday lives of children and adolescents. In any reappraisal of SBMU exposure times, researchers, educators and health professionals need to take cognizance of the extent to which SBMU differs across specific screen activity, sex, and age.