Where are the alcohol advertising hotspots near schools?

ISSUE ADDRESSED: Physically locating liquor stores near schools can strongly influence the chances of youth accessing and consuming alcohol, and may also increase children's exposure to alcohol advertising. Investigating the association between the presence of a liquor store near a school and the prevalence of outdoor alcohol advertising is crucial from a policy perspective, as it can inform future regulations on the placement of liquor stores and outdoor advertising near educational institutions. METHODS: All outdoor alcohol advertising within a 500 m radius (audit zone) of 64 randomly selected schools from local government areas across metropolitan Perth was identified by direct observation; recording the size, setting, location and content of each advertisement. Results were compared based on whether the school audit zone contained a liquor store or not. RESULTS: Over half (n = 36, 56%) of all school audit zones had at least one alcohol advertisement, with an average number of 5.9 alcohol advertisements per zone (SD = 10.2). The majority (97.9%) of advertisements were in the 38 audit zones containing a liquor store (average = 9.7, SD = 11.9 per zone), compared to zones without a liquor store (average = .3, SD = .7 per zone). CONCLUSIONS: Perth school zones containing a liquor store in their 500 m radius had, on average, 30 times more outdoor alcohol advertising, compared with school zones without a nearby liquor store. SO WHAT?: The siting of liquor stores and the display of alcohol advertisements around educational settings require combined policy, planning and public health approaches to mitigate children's exposure to alcohol marketing, especially during school transit.

Nutritional quality of children's menus in restaurants: does cuisine type matter?

OBJECTIVE: It is unknown whether the nutritional quality of children's menus varies depending on the cuisine type. This study aimed to investigate differences in the nutritional quality of children's menus by cuisine type in restaurants located in Perth, Western Australia (WA). DESIGN: Cross-sectional study. SETTING: Perth, WA. PARTICIPANTS: Children's menus (n 139) from the five most prevalent restaurant cuisine types in Perth (i.e. Chinese, Modern Australian, Italian, Indian and Japanese) were assessed using the Children's Menu Assessment Tool (CMAT; range -5-21 with lower scores denoting lower nutritional quality) and the Food Traffic Light system, evaluated against Healthy Options WA Food and Nutrition Policy recommendations. Non-parametric ANOVA was used to test for a significant difference in total CMAT scores among cuisine types. RESULTS: Total CMAT scores were low for all cuisine types (range -2-5), with a significant difference between cuisine types (Kruskal-Wallis H = 58·8, P < 0·001). The highest total CMAT score by cuisine type was Modern Australian (mean = 2·27, sd = 1·41) followed by Italian (mean = 2·02, sd = 1·02), Japanese (mean = 1·80, sd = 2·39), Indian (mean = 0·30, sd = 0·97) and Chinese (mean = 0·07, sd = 0·83). When using the Food Traffic Light for assessment, Japanese cuisine had the highest percentage of green food items (44 %), followed by Italian (42 %), Modern Australian (38 %), Indian (17 %) and Chinese (14 %). CONCLUSIONS: Overall, the nutritional quality of children's menus was poor regardless of cuisine type. However, children's menus from Japanese, Italian and Modern Australian restaurants scored better in terms of nutritional quality than children's menus from Chinese and Indian restaurants.

The community food environment and its association with diet, health or weight status in Australia: A systematic review with recommendations for future research.

ISSUE ADDRESSED: This study systematically reviewed Australian literature to determine if an association exists between geospatial exposure to food outlets and diet, health or weight status. Recommendations for future research are provided. METHODS: A systematic literature search was conducted in December 2021 using CINAHL Plus, PubMed and Web of Science databases. Data were extracted, as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Study quality was assessed using an eight-item checklist. A descriptive synthesis of study characteristics and findings was carried out, stratified via study outcomes. RESULTS: Of the 36 included articles, the majority were from Victoria (n = 19), involving adult participants (n = 30) and cross-sectional in design (n = 27). Overall, associations were mainly null (nonsignificant) for diet (80%), weight status (75%) and health outcomes (90%). Significant findings were mixed with no positive trend with study quality. CONCLUSIONS: Six recommendations are suggested to address current knowledge gaps and limitations in the Australian evidence base: (1) Conduct research on different populations; (2) Employ robust study designs that can test the impact of change over time; (3) Improve the accuracy of food outlet data sources; (4) Improve food outlet geospatial exposure measures; (5) Improve measurement of outcome variables; and (6) Incorporate theoretical models into study design and data analysis. SO WHAT?: Improving the quality and consistency of research will be critical to informing locally relevant policy. Despite the present limitations in the evidence base, it is reasonable to assume that decisions to purchase and consume food are driven by availability and access. Thus, policy and planning aimed at improving the overall "healthiness" of the community food environment by increasing access to healthy food outlets is warranted to ensure that healthy options are easier choice for all.

Would you like fries with that? Investigating fast-food outlet availability near schools in Perth, Western Australia.

ISSUE ADDRESSED: Locating fast-food outlets near schools is a potential public health risk to schoolchildren, given the easy access and repeated exposure to energy-dense, nutrient-poor foods they provide. Fast-food outlet availability near schools has not been previously investigated in Perth, Western Australia. This study aimed to quantify fast-food outlet availability near Perth schools and determine whether differences in area-level disadvantage and school type exist. METHODS: Fast-food outlet locations were sourced from Perth Local Governments in 2018/2019. All Perth Primary (n = 454), Secondary (n = 107) and K-12 (n = 94) schools were assigned an area-level disadvantage decile ranking based on the Australian Bureau of Statistics Socio-Economic Index for Areas (SEIFA). Regression models assessed whether fast-food outlet availability within 400 m, 800 m and 1 km of schools differed by school type (ie, Primary/Secondary/K-12) or SEIFA. RESULTS: Secondary schools were significantly more likely than Primary and K-12 schools to have a higher presence and density of fast-food outlets and the "Top 4" fast-food outlet chains (McDonalds, Hungry Jacks, KFC and Red Rooster) nearby. Schools located in low socio-economic status (SES) areas had a significantly higher density of fast-food outlets within 400 m, and "Top 4" fast-food outlet chains within 400 m and 1 km, than schools located in high SES area. CONCLUSIONS: Perth schools are surrounded by fast-food outlets with densities significantly higher around secondary schools and schools located in lower SES areas. SO WHAT?: Policies and regulations aimed at reducing fast-food outlets near schools is an essential strategy to improve dietary intakes and reduce obesity in schoolchildren.

Does fast-food outlet density differ by area-level disadvantage in metropolitan Perth, Western Australia?

ISSUE ADDRESSED: Socio-economic spatial patterning of fast-food outlets can result in disparities in the availability and access of food across geographic areas, contributing to health inequalities. This study investigated whether area-level socio-economic disparities exist in fast-food availability across the Perth metropolitan region of Western Australia. METHODS: Fast-food outlet locations were sourced from Perth Local Governments in 2018/2019. All Perth suburbs (n = 328) were allocated a decile ranking based on the Australian Bureau of Statistics Socio-Economic Index for Areas with decile 1 indicating relatively greater disadvantage and decile 10 indicating a relative lack of disadvantage. Zero-inflated negative binomial regression models, adjusted for suburb area and population density, were used to investigate the association between area-level disadvantage decile and availability of fast-food outlets. RESULTS: A socio-economic gradient was identified; for every unit increase in disadvantage decile (ie a reduction in relative disadvantage), the count of fast-food outlets decreased by 6% (P < .01), and the count of the "top ranking" fast-food chains (ie McDonalds, KFC, Hungry Jacks and Red Rooster) decreased by 10% (P < .001). CONCLUSIONS: Consistent with evidence internationally and from within Australia, socio-economic spatial patterning of fast-food outlet availability was shown to exist in Perth, with greater fast-food availability in areas with more relative socio-economic disadvantage. SO WHAT?: To address health inequities associated with fast-food consumption, policy and practice changes are needed that manage fast-food outlet proliferation in areas of greater socio-economic disadvantage.

Do Changes in the Local Food Environment Within New Residential Developments Influence the Diets of Residents? Longitudinal Results from RESIDE.

Background: There is limited longitudinal evidence supporting a link between food outlet locations and dietary outcomes to inform policy and urban planning. This study examined how longitudinal changes in the local food environment within new residential developments influenced changes in adult dietary intake. Methods: Adult participant data (n = 3223 person-observations) were sourced from the RESIDential Environments (RESIDE) project across three time points between 2004 to 2012 in Perth, Western Australia. Fixed effects regression estimated the relationship between change in spatial exposure to the local food environment, individual behaviours and perceptions of the local food environment with dietary outcome variables (healthy diet score, unhealthy diet score, diet quality score and fruit/vegetable intake). Results: An increase over time in the percentage of healthy food outlets around the home was significantly (p ≤ 0.05) associated with an increase in healthy diet scores and an increase in the distance from home to the nearest café restaurant was significantly (p ≤ 0.05) associated with an increase in diet quality scores. Conclusions: Modifying the local food environment by increasing the relative proportion of healthy food outlets around the home may support healthier dietary intake.

The influence of the local food environment on diet following residential relocation: longitudinal results from RESIDential Environments (RESIDE).

OBJECTIVE: To examine the associations of changes in the local food environment, individual behaviours and perceptions with changes in dietary intake, following relocation from an established neighbourhood to a new residential development. DESIGN: Spatial food environment exposure measures were generated relative to each participant's home address using the locations of food outlets at baseline (before moving house) and follow-up (1-2 years after relocation). Self-reported data on socio-demographics, self-selection, usual dietary intake, individual behaviours and perceptions of the local food environment were sourced from the RESIDential Environments (RESIDE) Project. Changes in spatial exposure measures, individual behaviours and perceptions with changes in dietary outcomes were examined using mixed linear models. SETTING: Perth, Western Australia, 2003-2007. PARTICIPANTS: Adults (n 1200) from the RESIDE Project. RESULTS: Moving to a new residential development with more convenience stores and café restaurants around the home was significantly associated with an increase in unhealthy food intake (ß = 0·049, 95 % CI 0·010, 0·089; ß = 0·020, 95 % CI 0·007, 0·033) and was partially mediated by individual behaviours and perceptions. A greater percentage of healthy food outlets around the home following relocation was significantly associated with an increase in healthy food (ß = 0·003, 95 % CI 0·001, 0·005) and fruit/vegetable intake (ß = 0·002, 95 % CI 0·001, 0·004). CONCLUSIONS: Policy and planning may influence dietary intakes by restricting the number of convenience stores and other unhealthy food outlets and increasing the relative percentage of healthy food outlets.

The evolution of local food environments within established neighbourhoods and new developments in Perth, Western Australia.

Temporal changes in the location of food outlets can result in disparities in the availability and access of food across geographic areas, contributing to health inequalities. This study used mixed linear models to investigate how the location of food outlets around the home evolved over time with respect to area-level socio-economic status (SES) and urban design within established neighbourhoods and new residential developments. Food outlet data (supermarket/greengrocers, convenience stores, café restaurants and takeaway/fast food) were sourced from commercial database listings (SENSIS Pty. Ltd.) in 2004, 2006, 2007, and 2011. Using 2468 addresses from the RESIDential Environments Project (RESIDE), in Perth, Western Australia (WA), a count of each food outlet type and percentage of healthy food outlets within a 1.6 km road network buffer around the home, along with the road network distance to nearest food outlet were generated relative to each address at each time point. Proximity to and count of all food outlets increased over time in both new developments and established neighbourhoods. However, unhealthy food outlets were always in greater numbers and proximity to the home. The percentage of healthy food outlets was significantly greater in established neighbourhoods compared to new developments at all four time points. There were significantly more food outlets, and within closer proximity to the home, in established neighbourhoods compared to new developments at each time point. In established neighbourhoods, there were more convenience stores, takeaway/fast food and café restaurants, a lower percentage of healthy food outlets, and closer proximity to convenience stores in lower compared to high SES areas. In new developments there were significantly less supermarket/greengrocers, a lower percentage of healthy food outlets and greater proximity to takeaway/fast food and café restaurants in low compared to high SES areas. New developments designed according to the WA government's "Liveable Neighbourhoods Community Design Guidelines" policy had significantly more of all food outlets compared to other new developments. As such, people living in new developments, and low SES areas of Perth, may be disadvantaged with poorer access to healthy food outlets and greater exposure to unhealthy food outlets. Future urban planning and policy should focus on providing incentives that support the early development of supermarkets and healthy food outlets within new developments and low SES areas of Perth.

Food environments and dietary intakes among adults: does the type of spatial exposure measurement matter? A systematic review.

BACKGROUND: The relationships between food environments and dietary intake have been assessed via a range of methodologically diverse measures of spatial exposure to food outlets, resulting in a largely inconclusive body of evidence, limiting informed policy intervention. OBJECTIVE: This systematic review aims to evaluate the influence of methodological choice on study outcomes by examining the within-study effect of availability (e.g., counts) versus accessibility (e.g., proximity) spatial exposure measures on associations with diet. METHODS: (PROSPERO registration: CRD42018085250). PubMed, Web of Science, Scopus and ScienceDirect databases were searched for empirical studies from 1980 to 2017, in the English language, involving adults and reporting on the statistical association between a dietary outcome and spatial exposure measures of both availability and accessibility. Studies were appraised using an eight-point quality criteria with a narrative synthesis of results. RESULTS: A total of 205 associations and 44 relationships (i.e., multiple measures of spatial exposure relating to a particular food outlet type and dietary outcome) were extracted from 14 eligible articles. Comparative measures were dominated by counts (availability) and proximity (accessibility). Few studies compared more complex measures and all counts were derived from place-based measures of exposure. Sixteen of the 44 relationships had a significant effect involving an availability measure whilst only 8 had a significant effect from an accessibility measure. The largest effect sizes in relationships were mostly for availability measures. After stratification by scale, availability measure had the greatest effect size in 139 of the 176 pairwise comparisons. Of the 33% (68/205) of associations that reached significance, 53/68 (78%) were from availability measures. There was no relationship between study quality and reported study outcomes. CONCLUSIONS: The limited evidence suggests that availability measures may produce significant and greater effect sizes than accessibility measures. However, both availability and accessibility measures may be important concepts of spatial exposure depending on the food outlet type and dietary outcome examined. More studies reporting on multi-method effects are required to differentiate findings by the type of spatial exposure assessment and build an evidence base regarding the appropriateness and robustness of measures under different circumstances.

Can a Simple Dietary Index Derived from a Sub-Set of Questionnaire Items Assess Diet Quality in a Sample of Australian Adults?

Large, longitudinal surveys often lack consistent dietary data, limiting the use of existing tools and methods that are available to measure diet quality. This study describes a method that was used to develop a simple index for ranking individuals according to their diet quality in a longitudinal study. The RESIDential Environments (RESIDE) project (2004-2011) collected dietary data in varying detail, across four time points. The most detailed dietary data were collected using a 24-item questionnaire at the final time point (n = 555; age ≥ 25 years). At preceding time points, sub-sets of the 24 items were collected. A RESIDE dietary guideline index (RDGI) that was based on the 24-items was developed to assess diet quality in relation to the Australian Dietary Guidelines. The RDGI scores were regressed on the longitudinal sub-sets of six and nine questionnaire items at T4, from which two simple index scores (S-RDGI1 and S-RDGI2) were predicted. The S-RDGI1 and S-RDGI2 showed reasonable agreement with the RDGI (Spearman's rho = 0.78 and 0.84; gross misclassification = 1.8%; correct classification = 64.9% and 69.7%; and, Cohen's weighted kappa = 0.58 and 0.64, respectively). For all of the indices, higher diet quality was associated with being female, undertaking moderate to high amounts of physical activity, not smoking, and self-reported health. The S-RDGI1 and S-RDGI2 explained 62% and 73% of the variation in RDGI scores, demonstrating that a large proportion of the variability in diet quality scores can be captured using a relatively small sub-set of questionnaire items. The methods described in this study can be applied elsewhere, in situations where limited dietary data are available, to generate a sample-specific score for ranking individuals according to diet quality.