Impact of Traditional and New Media on Smoking Intentions and Behaviors: Secondary Analysis of Tasmania's Tobacco Control Mass Media Campaign Program, 2019-2021.

BACKGROUND: Tasmania, the smallest state by population in Australia, has a comprehensive tobacco control mass media campaign program that includes traditional (eg, television) and "new" channels (eg, social media), run by Quit Tasmania. The campaign targets adult smokers, in particular men aged 18-44 years, and people from low socioeconomic areas. OBJECTIVE: This study assesses the impact of the 2019-2021 campaign program on smokers' awareness of the campaign program, use of Quitline, and smoking-related intentions and behaviors. METHODS: We used a tracking survey (conducted 8 times per year, immediately following a burst of campaign activity) to assess campaign recall and recognition, intentions to quit, and behavioral actions taken in response to the campaigns. The sample size was approximately 125 participants at each survey wave, giving a total sample size of 2000 participants over the 2 years. We merged these data with metrics including television target audience rating points, digital and Facebook (Meta) analytics, and Quitline activity data, and conducted regression and time-series modeling. RESULTS: Over the evaluation period, unprompted recall of any Quit Tasmania campaign was 18%, while prompted recognition of the most recent campaign was 50%. Over half (52%) of those who recognized a Quit Tasmania campaign reported that they had performed or considered a quitting-related behavioral action in response to the campaign. In the regression analyses, we found having different creatives within a single campaign burst was associated with higher campaign recall and recognition and an increase in the strength of behavioral actions taken. Higher target audience rating points were associated with higher campaign recall (but not recognition) and an increase in quit intentions, but not an increase in behavioral actions taken. Higher Facebook advertisement reach was associated with lower recall among survey participants, but recognition was higher when digital channels were used. The time-series analyses showed no systematic trends in Quitline activity over the evaluation period, but Quitline activity was higher when Facebook reach and advertisement spending were higher. CONCLUSIONS: Our evaluation suggests that a variety of creatives should be used simultaneously and supports the continued use of traditional broadcast channels, including television. However, the impact of television on awareness and behavior may be weakening. Future campaign evaluations should closely monitor the effectiveness of television as a result. We are also one of the first studies to explicitly examine the impact of digital and social media, finding some evidence that they influence quitting-related outcomes. While this evidence is promising for campaign implementation, future evaluations should consider adopting rigorous methods to further investigate this relationship.

Are Perceptions of Government Intervention Related to Support for Prevention? An Australian Survey Study.

BACKGROUND: In Australia, despite the success of tobacco control policy interventions, policymakers remain resistant to policy-based approaches to diet, alcohol, physical inactivity and obesity, concerned about community perceptions of such interventions as "nanny-statist". We examined how people's general positions on government intervention related to their positions on different preventive policy options. METHODS: Data were from a 2018 nationally representative cross-sectional telephone survey of 2601 Australian adults. Survey questions related to endorsement of different conceptualisations of government intervention (nanny state, paternalistic, shared responsibility and communitarian) and support for specific health interventions, using forced-choice questions about preferences for individual/treatment measures versus population/preventive health measures. We analysed associations between scores on different conceptualisations of government intervention and support of different policy options for tobacco and diet, and preferences for prevention over treatment. RESULTS: The Nanny State Scale showed an inverse relationship with support for tobacco- and diet-related interventions, and alternative conceptualisations (paternalistic, shared responsibility and communitarian) showed a positive relationship. Effect sizes in all cases were small. Those aged 55+ demonstrated greater support for policy action on tobacco and diet, and greater preference for systemic rather than individual-level interventions. CONCLUSION: General disposition towards government intervention, although correlated with support for specific policy actions, is not deterministic.

Co-Produce, Co-Design, Co-Create, or Co-Construct-Who Does It and How Is It Done in Chronic Disease Prevention? A Scoping Review.

Co-production in health literature has increased in recent years. Despite mounting interest, numerous terms are used to describe co-production. There is confusion regarding its use in health promotion and little evidence and guidance for using co-produced chronic disease prevention interventions in the general population. We conducted a scoping review to examine the research literature using co-production to develop and evaluate chronic disease prevention programs. We searched four electronic databases for articles using co-production for health behaviour change in smoking, physical activity, diet, and/or weight management. In 71 articles that reported using co-production, co-design, co-create, co-develop, and co-construct, these terms were used interchangeably to refer to a participatory process involving researchers, stakeholders, and end users of interventions. Overall, studies used co-production as a formative research process, including focus groups and interviews. Co-produced health promotion interventions were generally not well described or robustly evaluated, and the literature did not show whether co-produced interventions achieved better outcomes than those that were not. Uniform agreement on the meanings of these words would avoid confusion about their use, facilitating the development of a co-production framework for health promotion interventions. Doing so would allow practitioners and researchers to develop a shared understanding of the co-production process and how best to evaluate co-produced interventions.

Measuring public opinion and acceptability of prevention policies: an integrative review and narrative synthesis of methods.

Acceptability of and public support for prevention are an important part of facilitating policy implementation. This review aims to identify, summarize and synthesize the methods and study designs used to measure and understand public opinion, community attitudes and acceptability of strategies to prevent chronic noncommunicable disease (NCDs) in order to allow for examination of imbalances in methodological approaches and gaps in content areas. We searched four scientific databases (CINAHL, Embase, Ovid/MEDLINE and Scopus) for peer-reviewed, English-language studies published between January 2011 and March 2020 in high-income, democratic countries across North America, Europe and the Asia-Pacific region. Studies were included if they focused on opinions, attitudes and acceptability of primary prevention strategies and interventions addressing the key NCD risk factors of alcohol use, unhealthy diet, overweight/obesity, tobacco use and smoking, and physical inactivity. A total of 293 studies were included. Two thirds of studies (n = 194, 66%) used quantitative methods such as cross-sectional studies involving surveys of representative (n = 129, 44%) or convenience (n = 42, 14%) samples. A smaller number of studies used qualitative methods (n = 60, 20%) such as focus groups (n = 21, 7%) and interviews (n = 21, 7%). Thirty-nine studies (13%) used mixed methods such as content analysis of news media (n = 17, 6%). Tobacco control remains the dominant topic of public opinion literature about prevention (n = 124, 42%). Few studies looked solely at physical inactivity (n = 17, 6%). The results of this review suggest that public opinion and acceptability of prevention in the peer-reviewed literature is investigated primarily through cross-sectional surveys. Qualitative and mixed methods may provide more nuanced insights which can be used to facilitate policy implementation of more upstream strategies and policies to prevent NCDs.

Facebook-Based Social Marketing to Reduce Smoking in Australia's First Nations Communities: An Analysis of Reach, Shares, and Likes.

BACKGROUND: Facebook is widely used by Australia's First Nations people and has significant potential to promote health. However, evidence-based guidelines for its use in health promotion are lacking. Smoking prevalence among Australia's First Nations people is nearly 3 times higher than other Australians. Locally designed programs in Aboriginal Community Controlled Health Services (ACCHOs) to reduce smoking often use Facebook. OBJECTIVE: This study reports on an analysis of the reach and engagement of Facebook posts with smoking prevention and cessation messages posted by ACCHOs in the Northern Territory, Australia. METHODS: Each service posted tobacco control content at least weekly for approximately 6 months. Posts were coded for the following variables: service posted, tailored First Nations Australian content, local or nonlocally produced content, video or nonvideo, communication technique, and emotional appeal. The overall reach, shares, and reactions were calculated. RESULTS: Compared with posts developed by the health services, posts with content created by other sources had greater reach (adjusted incident rate ratio [IRR] 1.92, 95% CI 1.03-3.59). Similarly, reactions to posts (IRR 1.89, 95% CI 1.40-2.56) and shared posts (IRR 2.17, 95% CI 1.31-3.61) with content created by other sources also had more reactions, after controlling for reach, as did posts with local First Nations content compared with posts with no First Nations content (IRR 1.71, 95% CI 1.21-2.34). CONCLUSIONS: Facebook posts with nonlocally produced content can be an important component of a social media campaign run by local health organizations. With the exception of nonlocally produced content, we did not find a definitive set of characteristics that were clearly associated with reach, shares, and reactions. Beyond reach, shares, and likes, further research is needed to understand the extent that social media content can influence health behavior.

Ecological study of playground space and physical activity among primary school children.

OBJECTIVES: To examine the relationship between school playground size and total physical activity (PA), fitness and fundamental movement skills (FMS) of primary school students. DESIGN: Cross-sectional ecological analysis. SETTING: 43 primary schools in New South Wales, Australia. PARTICIPANTS: Data were from 5238 students, aged 5 to 12 years, participating in the Schools Physical Activity and Nutrition Survey. OUTCOME MEASURES: Self (for age ≥11 years) and parent (for age <11 years) report of PA (meeting PA recommendations and number of days meeting recommendations), objectively measured FMS and cardiorespiratory and muscular fitness. RESULTS: Associations between playground space and measures of PA and fitness were mostly non-linear and moderated by loose equipment. Students in schools with no loose equipment showed a weak association between space and meeting PA recommendations (self-report). In schools with equipment, students' predicted probability of meeting PA recommendations increased sharply between 15 m2 and 25 m2 per student from 0.04 (95% CI: 0.01 to 0.08) to 0.30 (95% CI: 0.14 to 0.46), but at 30 m2 returned to levels comparable to students in schools with no equipment (0.18, 95% CI: 0.07 to 0.28). For cardiorespiratory fitness, in schools with no loose equipment, probabilities for being in the healthy cardiovascular fitness zone varied between 0.66 and 0.77, showing no consistent trend. Students in schools with loose equipment had a predicted probability of being in the healthy fitness zone of 0.56 (95% CI: 0.41 to 0.71) at 15 m2 per student, which rose to 0.75 (95% CI: 0.63 to 0.86) at 20 m2 per student. There was no relationship between space and FMS. CONCLUSIONS: School space guidelines need to incorporate sufficient playground space for students. Our study provides evidence supporting better PA outcomes with increasing space up to 25 m2 per student, and access to loose equipment, however further research is required to determine precise thresholds for minimum space. Intersectoral planning and cooperation is required to meet the needs of growing school populations.

Closing the loop: short term impacts on physical activity of the completion of a loop trail in Sydney, Australia.

BACKGROUND: In Australia, an estimated 57% of the population do not meet physical activity recommendations for health. The built environment is important for active living, and recreational trails provide safe and pleasant settings for this purpose. However, evidence for positive impacts on physical activity from real world natural experiments is sparse. We describe the impact of transforming a recreational trail into a loop on usage by cyclists and pedestrians and users' physical activity levels. METHOD: We conducted time series analyses of pre and post-completion (November 2013-July 2015) counts taken from infrared electronic counters of pedestrians and cyclists on two established sections of the trail adjusted for underlying trend, trend change, weather, holidays and trail closures. Chi-square analyses of pre and post-completion visual counts examined change in the distribution of pedestrian/cyclist, adult/child, and male/female users. Descriptive and bivariate analyses of post-completion intercept survey data of 249 trail users were conducted to examine user characteristics and impact on physical activity. RESULTS: Pedestrian and cyclist counts on established trail sections increased by between 200 and 340% from pre to post-completion. Visual count data showed a significant 7% increase in children (vs adults) using the trail at one site pre to post (p = 0.008). Of previous users, 48% reported doing more physical activity at the trail and this was additional to (not replacing) physical activity done elsewhere. Those users not meeting physical activity recommendations were more likely to report increased total physical activity since the loop was created (55.5% vs 39.2%, p = 0.031). The connected loop nature of the trail and its length was perceived to encourage more and different forms of physical activity. CONCLUSION: Creating an accessible loop trail away from motorised traffic can lead to increased trail use and potentially total physical activity. The modification to the trail encouraged proportionate and real increases in usage among vulnerable populations such as children and perhaps greater total physical activity especially for people not meeting physical activity recommendations. The findings suggest that the benefits of environmental changes such as these can accrue to those most in need of support for being physically active.

Polite, professional, practical: What drives caller 'satisfaction' with the New South Wales Quitline, Australia.

INTRODUCTION AND AIMS: Previous studies on smoking quitlines have focused on service effectiveness and usage, describing client characteristics, referral sources and service utilisation. There is a lack of qualitative research examining callers' perspectives on service quality. The analysis aimed to describe the factors which underpin quitline callers' descriptions of their satisfaction with the service. DESIGN AND METHODS: We conducted qualitative interviews with 46 callers to the NSW Quitline's English and multilingual lines. We used an iterative, inductive, thematic approach to identify common patterns within interviewees' descriptions of what informed their level of satisfaction with the service. RESULTS: Interviewees evaluated the Quitline service format (frequency, duration and convenience of call-backs), call content and advisor competence in terms of whether these components conveyed care, developed rapport and demonstrated a general professionalism (polite, reliable and convenient service). Satisfaction rested on callers finding advice and resources personally relevant and matching prior expectations, although many did not have an accurate idea of Quitline's services prior to calling. These themes were evident across age, gender, language background and quitting status. DISCUSSION AND CONCLUSIONS: 'Satisfaction' with Quitline is complex and not wholly dependent on achieving cessation. Evaluations emerged out of dynamic interactions between callers' preconceived notions and needs of smoking cessation services and the particular service experience of the caller. While callers' descriptions of the Quitline were predominantly positive, developing specialised modules for long-term smokers and those with a strong sense of personal responsibility for quitting may broaden the utility of the service.

Multiple lifestyle behaviours and mortality, findings from a large population-based Norwegian cohort study - The HUNT Study.

BACKGROUND: Lifestyle risk behaviours are responsible for a large proportion of disease burden and premature mortality worldwide. Risk behaviours tend to cluster in populations. We developed a new lifestyle risk index by including emerging risk factors (sleep, sitting time, and social participation) and examine unique risk combinations and their associations with all-cause and cardio-metabolic mortality. METHODS: Data are from a large population-based cohort study in a Norway, the Nord-Trøndelag Health Study (HUNT), with an average follow-up time of 14.1 years. Baseline data from 1995-97 were linked to the Norwegian Causes of Death Registry. The analytic sample comprised 36 911 adults aged 20-69 years. Cox regression models were first fitted for seven risk factors (poor diet, excessive alcohol consumption, current smoking, physical inactivity, excessive sitting, too much/too little sleep, and poor social participation) separately and then adjusted for socio-demographic covariates. Based on these results, a lifestyle risk index was developed. Finally, we explored common combinations of the risk factors in relation to all-cause and cardio-metabolic mortality outcomes. RESULTS: All single risk factors, except for diet, were significantly associated with both mortality outcomes, and were therefore selected to form a lifestyle risk index. Risk of mortality increased as the index score increased. The hazard ratio for all-cause mortality increased from 1.37 (1.15-1.62) to 6.15 (3.56-10.63) as the number of index risk factors increased from one to six respectively. Among the most common risk factor combinations the association with mortality was particularly strong when smoking and/or social participation were included. CONCLUSIONS: This study adds to previous research on multiple risk behaviours by incorporating emerging risk factors. Findings regarding social participation and prolonged sitting suggest new components of healthy lifestyles and potential new directions for population health interventions.

Retirement-A Transition to a Healthier Lifestyle?: Evidence From a Large Australian Study.

INTRODUCTION: Population aging is associated with a rising burden of non-communicable disease, profoundly impacting health policy and practice. Adopting and adhering to healthy lifestyles in middle or older age can protect against morbidity and mortality. Retirement brings opportunities to reconfigure habitual lifestyles and establish new routines. This study examines the longitudinal association between retirement and a range of lifestyle risk behaviors among a large population-based sample of Australian adults. METHODS: Study sample included working adults aged ≥45 years at baseline (2006-2009, N=23,478-26,895). Lifestyle behaviors, including smoking, alcohol use, physical activity, diet, sedentary behavior, and sleep, were measured at both baseline and follow-up (2010). Logistic regression models estimated the odds of having each risk factor at follow-up and multiple linear regression models calculated the change in the total number of risk factors, adjusted for baseline risk and other covariates. Sociodemographic characteristics and reasons for retirement were tested as potential effect modifiers. RESULTS: During the 3.3-year follow-up, about 11% of respondents retired. Retirement was associated significantly with reduced odds of smoking (AOR=0.74); physical inactivity (AOR=0.73); excessive sitting (AOR=0.34); and at-risk sleep patterns (AOR=0.82). There was no significant association between retirement and alcohol use or fruit and vegetable consumption. Change in the total number of lifestyle risk factors differed significantly by reason for retirement. CONCLUSIONS: In a large population-based Australian cohort, retirement was associated with positive lifestyle changes. Health professionals and policymakers should consider developing special programs for retirees to capitalize on the healthy transitions through retirement.

Factors associated with higher sitting time in general, chronic disease, and psychologically-distressed, adult populations: findings from the 45 & up study.

This study examined factors associated with higher sitting time in general, chronic disease, and psychologically-distressed, adult populations (aged ≥45 years). A series of logistic regression models examined potential socio-demographic and health factors associated with higher sitting (≥6hrs/day) in adults from the 45 and Up Study (n = 227,187), including four separate subsamples for analysis comprising those who had ever had heart disease (n = 26,599), cancer (n = 36,381), diabetes (n = 19,550) or psychological distress (n = 48,334). Odds of higher sitting were significantly (p<.01) associated with a number of factors across these groups, with an effect size of ORs≥1.5 observed for the high-income ≥$70,000AUD, employed full-time and severe physical limitations demographics. Identification of key factors associated with higher sitting time in this population-based sample will assist development of broad-based, public health and targeted strategies to reduce sitting-time. In particular, those categorized as being high-income earners, full-time workers, as well as those with severe physical limitations need to be of priority, as higher sitting appears to be substantial across these groups.

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.

Out of Sight and Out of Mind? Evaluating the Impact of Point-of-Sale Tobacco Display Bans on Smoking-Related Beliefs and Behaviors in a Sample of Australian Adolescents and Young Adults.

INTRODUCTION: The Australian states of New South Wales (NSW) and Queensland implemented bans on tobacco pack displays at point-of-sale (PoS) in July 2010 and November 2011, respectively. This study evaluated the medium-term impact of the bans on youth. METHODS: Data were drawn from the Tobacco Promotion Impact Study, a repeated cross-sectional survey of youth (12-24 years) in NSW and Queensland conducted yearly 2010-2012 (n = 6,014). Regression analyses examined differences in youth's recall of PoS tobacco displays, smoking-related beliefs, and smoking behaviors in relation to the timing of the PoS display bans. RESULTS: Recall of PoS tobacco displays was significantly less likely for youth interviewed after the bans versus before (OR = 0.45, 95% CI = 0.39, 0.52, p < .01). They were also less likely to report tobacco brand awareness (OR = 0.76, 95% CI = 0.62, 0.92, p < .01), to over-estimate peer smoking (OR = 0.84, 95% CI = 0.74, 0.96, p < .01), or be current smokers (OR = 0.73, 95% CI = 0.55, 0.96, p < .05). Stratified analyses showed that these differences were primarily apparent in the group of youth most likely to be affected by tobacco PoS displays: those who visit tobacco retailers most frequently. After the bans, smokers were less likely to report that they think about smoking as a result of seeing PoS tobacco displays (OR = 0.60, 95% CI = 0.37, 0.97, p < .039). CONCLUSIONS: Our findings suggest an immediate impact of display bans on youth's exposure to tobacco pack displays, and likely impacts on smoking-related outcomes. These results suggest that removing tobacco displays from retail environments can positively contribute to the denormalization of smoking among youth.

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.

Tobacco promotion 'below-the-line': exposure among adolescents and young adults in NSW, Australia.

BACKGROUND: Exposure to tobacco advertising and promotion increases the likelihood of smoking amongst young people. While there is a universal ban on traditional or 'above-the-line' advertising in Australia, the types and extent of exposure of young people to 'below-the-line' tobacco advertising and promotion is largely unknown. In this study we aim to identify levels of exposure of New South Wales (NSW) adolescents and young adults to tobacco promotion at the point-of-sale (PoS), on the internet, in entertainment media and at venues such as events or festivals and pubs, clubs, nightclubs, or bars; and to identify those most at risk of exposure. METHODS: A telephone survey of 1000 NSW adolescents and young adults aged 12 to 24 years was conducted. Self-reported exposure to tobacco promotions or advertising in the last month were measured in four areas: (1) promotions or advertising at (a) events or festivals and (b) pubs, clubs, nightclubs or bars, (2) on the internet, (3) people smoking cigarettes in (a) movies, (b) TV shows, (c) video games and (d) on the internet, and (4) displays of cigarette packs for sale at (a) large supermarkets, (b) grocery stores or small supermarkets, (c) convenience stores, and (d) service or petrol stations. Smoking status and susceptibility to smoking was also assessed. RESULTS: A substantial proportion of the young people surveyed reported seeing tobacco promotion sometimes or often in the last month over most of the channels studied.The highest levels of exposure were at the PoS (approx. two-thirds) and to people smoking cigarettes in movies(77%). Lower levels of exposure to tobacco promotions and imagery were reported on the internet (20%); at events or festivals (22.5%); in pubs, clubs, nightclubs or bars (31%); and in video games (23%). However, the odds of exposure through video games increased by 8% for every additional hour spent on the internet per day. CONCLUSIONS: This study shows that adolescents and young adults in NSW are exposed to tobacco advertising or promotion at the PoS, on the internet, in entertainment media and at venues such as events or festivals and pubs, clubs, nightclubs or bars, despite the restrictions on the marketing of tobacco in Australia.

Temporal trends in non-occupational sedentary behaviours from Australian Time Use Surveys 1992, 1997 and 2006.

BACKGROUND: Current epidemiological data highlight the potential detrimental associations between sedentary behaviours and health outcomes, yet little is known about temporal trends in adult sedentary time. This study used time use data to examine population trends in sedentary behaviours in non-occupational domains and more specifically during leisure time. METHODS: We conducted secondary analysis of population representative data from the Australian Time Use Surveys 1992, 1997 and 2006 involving respondents aged 20 years and over with completed time use diaries for two days. Weighted samples for each survey year were: n = 5851 (1992), n = 6419 (1997) and n = 5505 (2006). We recoded all primary activities by domain (sleep, occupational, transport, leisure, household, education) and intensity (sedentary, light, moderate). Adjusted multiple linear regressions tested for differences in time spent in non-occupational sedentary behaviours in 1992 and 1997 with 2006 as the reference year. RESULTS: Total non-occupational sedentary time was slightly lower in 1997 than in 2006 (mean = 894 min/2d and 906 min/2d, respectively; B = -11.2; 95%CI: -21.5, -0.9). Compared with 2006, less time was spent in 1997 in sedentary transport (B-6.7; 95%CI: -10.4, -3.0) and sedentary education (B = -6.3; 95%CI: -10.5, -2.2) while household and leisure sedentary time remained stable. Time engaged in different types of leisure-time sedentary activities changed between 1997 and 2006: leisure-time computer use increased (B = -26.7; 95%CI: -29.5, -23.8), while other leisure-time sedentary behaviours (e.g., reading, listening to music, hobbies and crafts) showed small concurrent reductions. In 1992, leisure screen time was lower than in 2006: TV-viewing (B = -24.2; 95%CI: -31.2, -17.2), computer use (B = -35.3; 95%CI: -37.7, -32.8). In 2006, 90 % of leisure time was spent sedentary, of which 53 % was screen time. CONCLUSIONS: Non-occupational sedentary time has increased slightly from 1997 to 2006 in the Australian adult population. This seems to be the result of small increases in sedentary transport and education time while sedentary household and leisure time were stable over this time period. However, almost all leisure time is spent sedentary and the composition of sedentary leisure time changed between 1992 and 2006 towards a larger proportion being screen-based activities. This could be an important observation for public health, as most of the evidence on the detrimental effects of sedentary behaviour is around watching television and health.

Composite measures quantify households' obesogenic potential and adolescents' risk behaviors.

OBJECTIVE: The aims of this study were to generate composite measures quantifying a household's obesogenic potential and to examine the relationship of the composite variables with older children's eating, physical activity (PA), and small screen recreation. METHODS: Data were from surveys with 1685 child-parent pairs in which the child was in grade 6, 8, or 10 (mean age: 14 years). Composite measures of the obesogenic household environment were generated from 11 measures using nonlinear principal components analysis. Associations between the composite measures and the children's healthy and unhealthy food intake, PA, and screen time were tested (adjusting for demographic characteristics). RESULTS: Two scales were generated: (1) obesogenic control, which clustered together factors that mitigate risk; and (2) obesogenic risk. Higher scores on the control scale were associated with higher adolescent intake of healthy foods, lower intake of unhealthy foods, higher PA, and less screen time. Higher scores on the risk scale were associated with lower adolescent intake of healthy foods, higher intake of unhealthy foods, lower PA, and more screen time. There were significant 2-way interactions between the scales for soft drink consumption and PA. CONCLUSIONS: Household obesogenic potential may be quantified as 2 factors reflecting cumulative risk and control practices. These factors have both additive associations with obesogenic behaviors and, in some cases, modify each other, suggesting that a healthy home environment requires attention to both. Health promotion messages could incorporate these 2 different but interacting factors that parents can use to modify the obesogenic potential of their household.