Planning healthy food environments: An analysis of local government municipal public health and wellbeing policy in regional Victoria.

ISSUE ADDRESSED: While there has been an increased focus on how local governments can support the creation of healthy food environments through healthy public policy, little is known about how this is reflected in public health policy in regional areas. The aim of this study was to understand how improvements to the food environment are prioritised, implemented and evaluated by local governments in regional Victoria. METHODS: Using a qualitative descriptive approach, content analysis was undertaken of Municipal Public Health and Wellbeing Plans and Council Plans from 10 regional local governments in Victoria, Australia. RESULTS: Seventeen policy documents were analysed including 10 Council Plans, 6 Municipal Public Health and Wellbeing Plans and 1 Food Systems Strategy. Findings highlight regional public health and wellbeing plans have very few concrete actions in place to improve food environments. CONCLUSION: There is an opportunity for Australian regional local governments to include in their public health and wellbeing plans a greater emphasis on supporting healthy food behaviours, and therefore seeking opportunities to improve food environments through clearly aligned priorities, objectives, actions and measures of success. SO WHAT?: Improving the quality of public health and wellbeing plans can support local government to use policy to drive improvements in food environments leading to improved health and wellbeing for regional communities.

Do 20-minute neighbourhoods moderate associations between work and commute hours with food consumption?

OBJECTIVE: To examine associations between work and commute hours with food consumption and test whether neighbourhood type (20-minute neighbourhood (20MN)/non-20MN) moderate associations. DESIGN: Cross-sectional analysis of the Places and Locations for Activity and Nutrition study (ProjectPLAN). Exposures were work hours (not working (0 h), working up to full-time (1-38 h/week), working overtime (> 38 h/week)), and among those employed, combined weekly work and commute hours (continuous). Outcomes were usual consumption of fruit, vegetables, takeaway food, snacks and soft drinks, and number of discretionary food types (takeaway, snacks and soft drinks) consumed weekly. Generalised linear models were fitted to examine associations between each exposure and outcome. The moderating role of neighbourhood type was examined through interaction terms between each exposure and neighbourhood type (20MN/non-20MN). SETTING: Melbourne and Adelaide, Australia, 2018-2019. PARTICIPANTS: Adults ≥ 18 years old (n 769). RESULTS: Although all confidence intervals contained the null, overall, patterns suggested non-workers and overtime workers have less healthy food behaviours than up-to-full-time workers. Among those employed, analysis of continuous work and commute hours data suggested longer work and commute hours were positively associated with takeaway consumption (OR = 1·014, 95 % CI 0·999, 1·030, P-value = 0·066). Patterns of better behaviours were observed across most outcomes for those in 20MN than non-20MN. However, differences in associations between work and commute hours with food consumption across neighbourhood type were negligible. CONCLUSIONS: Longer work and commute hours may induce poorer food behaviours. There was weak evidence to suggest 20MN moderate associations between work and commute hours with food consumption, although behaviours appeared healthier for those in 20MN.

High hopes for front-of-pack (FOP) nutrition labels? A conjoint analysis on the trade-offs between a FOP label, nutrition claims, brand and price for different consumer segments.

An increasing number of studies investigate the effect of front-of-pack (FOP) nutrition labels on consumer choice without considering differences in consumer preferences for product attributes. This study used a choice-based conjoint analysis to test consumers' preferences for four product attributes (5 levels of a FOP nutrition label, absence/presence of a nutrition claim, brand (unfamiliar, private label or premium) and 5 levels of price) when they coexist (n = 1156). As the consumer preferences showed distinct patterns (multimodality), consumers were subsequently clustered based on how a FOP nutrition label (Nutri-Score) influenced their food choices. Three consumer segments were identified, each valuing the Nutri-Score label differently. The label effectively seems to nudge one segment toward healthier choices (n = 456), while in contrast, another segment is unexpectedly steered toward unhealthier food choices by the label (n = 343). The third segment is only consistently nudged by the FOP label's extremes (n = 357). The segments also differ in their preferences for other product attributes (brand and price), health involvement, and self-reported understanding and use of the Nutri-Score, but not in the measured socio-demographic variables (age, sex, education, social class), dieting or smoking habits. In summary, consumers vary in their food label preferences, and studies that pool consumers may fail to capture these nuances, leading to biased results. This study shows that FOP labels do not steer all consumers toward healthier choices and may even have adverse effects for some. This suggests combining different policies and marketing strategies to reach all consumer segments.

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.

Operationalising the 20-minute neighbourhood.

BACKGROUND: Recent rapid growth in urban areas and the desire to create liveable neighbourhoods has brought about a renewed interest in planning for compact cities, with concepts like the 20-minute neighbourhood (20MN) becoming more popular. A 20MN broadly reflects a neighbourhood that allows residents to meet their daily (non-work) needs within a short, non-motorised, trip from home. The 20MN concept underpins the key planning strategy of Australia's second largest city, Melbourne, however the 20MN definition has not been operationalised. This study aimed to develop and operationalise a practical definition of the 20MN and apply this to two Australian state capital cities: Melbourne (Victoria) and Adelaide (South Australia). METHODS: Using the metropolitan boundaries for Melbourne and Adelaide, data were sourced for several layers related to five domains: 1) healthy food; 2) recreational resources; 3) community resources; 4) public open space; and 5) public transport. The number of layers and the access measures required for each domain differed. For example, the recreational resources domain only required a sport and fitness centre (gym) within a 1.5-km network path distance, whereas the public open space domain required a public open space within a 400-m distance along a pedestrian network and 8 ha of public open space area within a 1-km radius. Locations that met the access requirements for each of the five domains were defined as 20MNs. RESULTS: In Melbourne 5.5% and in Adelaide 7.6% of the population were considered to reside in a 20MN. Within areas classified as residential, the median number of people per square kilometre with a 20MN in Melbourne was 6429 and the median number of dwellings per square kilometre was 3211. In Adelaide's 20MNs, both population density (3062) and dwelling density (1440) were lower than in Melbourne. CONCLUSIONS: The challenge of operationalising a practical definition of the 20MN has been addressed by this study and applied to two Australian cities. The approach can be adapted to other contexts as a first step to assessing the presence of existing 20MNs and monitoring further implementation of this concept.

Identifying tobacco retailers in the absence of a licensing system: lessons from Australia.

OBJECTIVES: To estimate the proportion of retailers that sell tobacco in the absence of appropriate local government oversight, and to describe the characteristics by which they differ from those that can expect to receive such oversight. METHODS: A database of listed tobacco retailers was obtained from a regional Victorian local government. Potential unlisted tobacco retailers were added using online searches, and attempts to visit all retailers were undertaken. GPS coordinates and sales type information of retailers that sold tobacco were recorded and attached to neighbourhood-level data on socioeconomic disadvantage and smoking prevalence using ArcMap. Logistic regression analyses, χ2 tests and t-tests were undertaken to explore differences in numbers of listed and unlisted retailers by business and neighbourhood-level characteristics. RESULTS: Of 125 confirmed tobacco retailers, 43.2% were trading potentially without government oversight. Significant differences were found between listed and unlisted retailers by primary business type (p<0.001), and sales type (p<0.001) but not by the other characteristics. CONCLUSIONS: The database of tobacco retailers was inaccurate in two ways: (1) a number of listed retailers no longer operated or sold tobacco, and (2) 43.2% of businesses confirmed as selling tobacco were missing. As no form of licensing system exists in Victoria, it is difficult to identify the number of retailers operating, or to determine how many receive formal regulatory oversight. A positive licensing system is recommended to regulate the sale of tobacco and to generate a comprehensive database of retailers, similar to that which exists for food registration, gaming and liquor-licensed premises.

Is having a 20-minute neighbourhood associated with eating out behaviours and takeaway home delivery? A cross-sectional analysis of ProjectPLAN.

BACKGROUND: Through improved service provision and accessibility, 20-min neighbourhoods (20MNs) aim to enable people to meet most of their daily (non-work) needs within 20 min from home. Associations between 20MNs and food practices remain unknown. This study examines links with the frequency and location of eating out behaviours as well as the frequency of home food delivery. METHODS: This cross-sectional study used data from 769 adults from the Places and Locations for Activity and Nutrition study (ProjectPLAN) conducted in Melbourne and Adelaide, Australia, between 2018 and 2019. Outcomes were 1) visit frequency to i) cafés, ii) restaurants, bars or bistros, iii) major chain fast food outlets and iv) takeaway outlets to purchase food; 2) total number of different types of out-of-home food outlets visited; 3) use frequency of home food delivery services; 4) distance from home to the most frequented out-of-home food outlets. Exposure was whether participants had a 20MN (areas with high service/amenity provision) or a non-20MN (areas with low service/amenity provision). Ordinal regression models were fitted for the frequency outcomes. Poisson regression models were fitted for the number of different outlet types. Linear and spatial regression models were fitted for the distance outcomes. RESULTS: Results suggested no differences in frequency of visitations to out-of-home food outlets and use of food delivery services between those with a 20MN and those with a non-20MN. Yet, those with a 20MN were more likely to use a greater number of different types of outlets on a weekly basis. Where a regular eating out location was reported, it was nearer to home for those with a 20MN. CONCLUSIONS: This study provides evidence supportive of 20MNs potentially facilitating more localised food practices, however, 20MNs may also encourage greater cumulative frequency of meals out across a variety of out-of-home food providers.

From motorised to active travel: using GPS data to explore potential physical activity gains among adolescents.

BACKGROUND: A high proportion of adolescents worldwide are not doing enough physical activity for health benefits. Replacing short motorised trips with walking or cycling has the potential to increase physical activity at the population level. This study aimed to estimate the proportion of short distance motorised trips that could be replaced with walking or cycling, and the potential physical activity gains by sociodemographic and trip characteristics. METHODS: Data were from a subsample of the NEighbourhood Activity in Youth (NEArbY) study conducted among adolescents in Melbourne. A total of 217 adolescents with at least one motorised trip completed a survey and wore a Global Positioning Systems (GPS) device for eight consecutive days. Classification of travel modes were based on speed. GPS data points were geocoded in ArcGIS. Motorised trips within walkable (1.3 km) and cyclable (4.2 km) distances were identified (threshold based on 80th percentile of walking and cycling trip distances among Victorian adolescents), and the additional physical activity minutes that could be accrued by replacing walkable or cyclable motorised trip to active trips were quantified. Multilevel linear regression was used to assess differences in physical activity minutes gain by sociodemographic and trip characteristics. RESULTS: A total of 4,116 motorised trips were made. Of these, 17% were walkable and 61% were cyclable. Replacing motorised trips by walking and cycling resulted in estimated gains of six minutes and 15 min of physical activity per day, respectively. CONCLUSION: The sizable proportion of replaceable trips and potential physical activity gains from this shift calls for attention to improve safe and connected infrastructure to support active travel.

Socioecological correlates associated with muscle-strengthening exercise at home during COVID-19 among adolescents: The our life at home study.

This study examined adolescent muscle-strengthening exercise (MSE) participation at home and associated socioecological correlates during Australia's initial COVID-19 lockdown restrictions. Adolescents (N = 731, Mage = 16.3, SD = 1.2 years, 73% female) self-reported their MSE participation in February 2020 (pre-lockdown; at a gym or at home) and April/May (during lockdown; at home only as gyms were closed). They also reported a range of potential individual, family, and home environment correlates. Remoteness and area-level socioeconomic disadvantage were also considered. Logistic regression models examined potential correlates of participation in any MSE and MSE engagement ≥3 times/week during April/May. Fewer adolescents participated in MSE during April/May (48%) than February (54%), however, the proportions that engaged in MSE ≥3 times/week were the same (30%). Prioritising being active every day (OR = 2.43, 95% CI = 1.52, 3.90), being active with sibling/s ≥ 5 days/week (OR = 2.24, 95% CI = 1.00, 5.00) and access to weights at home (OR = 2.98, 95% CI = 1.94, 4.57) were associated with higher odds of any MSE participation at home during April/May. These variables were also positively associated with MSE participation at home ≥3 times/week. Understanding how to support adolescents to prioritise being active, engage in MSE with siblings, and provide equipment may assist adolescents to engage in home-based MSE.

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.

Children's exposure to outdoor food advertising near primary and secondary schools in Australia.

ISSUE ADDRESSED: Previous research has highlighted children's frequent exposure to advertisements of unhealthy food and beverages on television. However, the food industry is increasingly utilising non-broadcast channels such as outdoor advertising (eg billboards, bus shelters, shop fronts) for product marketing. Few studies have investigated children's exposure to outdoor food advertising around primary and secondary schools. This study aimed to quantify the presence and content of outdoor food advertisements within a 500 m radius of primary and secondary schools in Perth, Western Australia. METHODS: A cross-sectional design was used to capture outdoor advertisements within a 500 m radial buffer around the school boundary. The INFORMAS protocol for monitoring outdoor advertising around child-serving institutions was used. Sixty-four primary and secondary schools in Perth, Australia, were selected using random sampling within socio-economic and population density strata. RESULTS: In total, 5636 outdoor advertisements were identified within a 500 m radius of all 64 schools combined and 30% were for food. Of the 1708 food advertisements, 74% were for unhealthy (non-core) food. The most frequently advertised food products were alcohol, fast food and sugar-sweetened beverages. Only 8% of food advertisements featured a healthy product. The majority of schools (75%) had at least one food advertisement within 500 m (mean 36, range 3-190). Schools in lower socio-economic areas had more food advertisements and a significantly higher proportion of unhealthy food advertisements within 250 m. CONCLUSION: Outdoor advertising around schools constitutes a potential frequent source of children's exposure to unhealthy food and alcohol advertising. SO WHAT?: Policy interventions restricting the content of outdoor food advertising near schools are needed.

Socio-economic patterning of food and drink advertising at public transport stops in Edinburgh, UK.

OBJECTIVE: Outdoor advertisements for food and drink products form a large part of the food environment and they disproportionately promote unhealthy products. However, less is known about the social patterning of such advertisements. The main aim of this study was to explore the socio-economic patterning of food and drink advertising at bus stops in Scotland's capital city, Edinburgh. DESIGN: Bus stop advertisements were audited to identify food/drink adverts and classify them by food/drink category (i.e. 'advert category'). This data were then linked to area-based deprivation and proximity measures. Neighbourhood deprivation was measured using the bus stop x/y co-ordinates, which were converted to postcodes to identify the matching 2012 deprivation level via the Scottish Index of Multiple Deprivation. Distance to schools and leisure centres were also collected using location data. Generalised estimating equations and linear regression analyses were used to assess associations between the promotion of advert categories and deprivation and proximity to schools/leisure centres, respectively. SETTING: Edinburgh city, United Kingdom. RESULTS: 561 food/drink advertisements were identified across 349 bus stops, with 8 advertisement categories noted and included in the final analysis, including alcohol, fast food outlets and confectionary. The majority of adverts were for 'unhealthy' food and drink categories, however there was no evidence for any socio-economic patterning of these advertisements. There was no evidence of a relationship between advertisements and proximity to schools and leisure centres. CONCLUSIONS: While there is no evidence for food and drink advertising being patterned by neighbourhood deprivation, the scale of unhealthy advertising is an area for policy evaluations and interventions on the control of such outdoor advertising.

The role of dwelling type on food expenditure: a cross-sectional analysis of the 2015-2016 Australian Household Expenditure Survey.

OBJECTIVE: To explore differences in proportion of food budget and total food expenditure by dwelling type. DESIGN: A cross-sectional study using data from the Australian Bureau of Statistics 2015-2016 Household Expenditure Survey. Food expenditure was examined on multiple categories: fresh fruits, fresh vegetables, pre-prepared meals, meals in restaurants, hotels and clubs, and fast food and takeaway meals, using two-part models and zero-one inflated beta regression models. Dwelling types were categorised as separate house, semi-detached house, low-rise apartment and high-rise apartment. SETTING: Australia, 2015-2016. PARTICIPANTS: Seven thousand three hundred and fifty-eight households from greater capital city areas. RESULTS: Households living in high-rise apartments were estimated to allocate a greater proportion of their food budget to meals in restaurants, hotels and clubs, and to spend more (actual dollars) on that category, compared with other dwelling types. No substantial differences were estimated in the proportion of food budget allocated to the other food categories across dwelling types. CONCLUSIONS: The dwelling type households live in may play a role in their food budget. Households living in a high-rise apartment may potentially spend more on meals in restaurants, hotels and clubs than those living in other dwelling types. Given the growth in urban population and the changes in living arrangements, findings point to the critical need for a better understanding of the influence of dwelling types on food expenditure and call for research investigating the relationship between the two.

A qualitative exploration of perspectives of physical activity and sedentary behaviour among Indian migrants in Melbourne, Australia: how are they defined and what can we learn?

BACKGROUND: Although perceptions of what constitutes physical activity (PA) may vary between culturally diverse populations, very little research has explored the perceptions of PA among Indian migrants. This study aimed to identify how PA and sedentary behaviour (SB) are defined and describe how these definitions are shaped by cultural background and migration among a sample of Indian migrants living in Australia. METHODS: Using an exploratory qualitative approach, semi-structured interviews were conducted with twenty-one Indian migrants living in Melbourne (10 men and 11 women; age range: 18 to 65 years). Interviews were audio-recorded and transcribed verbatim. Data were coded and analysed inductively using thematic analyses. RESULTS: Data revealed two emerging themes: 1) Holistic perspectives related to PA, where although the majority of participants described PA as "any sort of movement", or "physical exercise", several of these descriptions had interwoven ideas related to the mind (mind-body connect), social, cultural, and to the outdoor environment; 2) Broader perspectives for SB, where descriptions of SB as "not having movement", "doing nothing" or "being lazy", were shaped with ideas of purpose and duration. Women spoke about how their perspectives of PA and SB may be shaped by native Indian experiences, particularly the gender roles, social caste, and regional subcultural norms which they perceived were important to consider among women who migrate to western settings. CONCLUSIONS: Cultural background is important in shaping the perspectives of PA and SB among Indian migrants in Australia. Practitioners and researchers should consider the varying perspectives of PA to communicate and promote PA among migrant populations more effectively.

Educational differences in diabetes and diabetes self-management behaviours in WHO SAGE countries.

BACKGROUND: Diabetes mellitus represents a substantial global health challenge, with prevalence rising in low- and middle-income countries (LMICs). Although diabetes is known to follow a socioeconomic gradient, patterns in LMICs are unclear. This study examined associations between education and diabetes, and diabetes self-management behaviours, in six LMICs. METHODS: Cross-sectional data for 31,780 participants from China, Ghana, India, Mexico, Russia, and South Africa from the World Health Organization Study on Global AGEing and adult health (SAGE) study were used. Participants aged ≥50 years completed face-to-face interviews between 2007 and 2010. Participants self-reported diabetes diagnosis, physical activity, sedentary time, fruit and vegetable consumption, any special diet/program for diabetes, whether they were taking insulin for diabetes and number of years of education. Height, weight, waist, and hip circumference were measured. Country-specific survey-weighted log-binomial regression models were fitted to examine associations between the number of years of education and self-reported diabetes diagnosis (primary analysis). In secondary analyses, among those with a self-reported diabetes diagnosis, generalised linear regression models were fitted to examine associations between education and i) physical activity, ii) sedentary time, iii) fruit and vegetable consumption, iv) special diet for diabetes, v) taking insulin, vi) BMI, vii) waist circumference and viii) hip circumference. RESULTS: There was strong evidence of an association between years of education and diabetes diagnosis in Ghana (RR = 1.09, 95% CI: 1.06-1.13) and India (RR = 1.09, 95% CI: 1.07-1.12) only. In India, greater years of education was associated with higher leisure physical activity, fruit and vegetable intake, rates following a special diet or taking insulin, but also higher mean BMI, waist and hip circumference. Relationships between education and self-management behaviours were rarely seen in the other countries. CONCLUSIONS: Associations between education and diabetes, and behavioural self-management (India only) was more evident in the two least developed (Ghana and India) of the WHO SAGE countries, indicating increasing diabetes diagnosis with greater numbers of years of education. The lack of gradients elsewhere may reflect shifting risk from higher to lower educated populations. While there was some suggestion that self-management behaviours were greater with increased education in India, this was not observed in the other countries.

The use and misuse of ratio and proportion exposure measures in food environment research.

BACKGROUND: The food stores within residential environments are increasingly investigated as a possible mechanism driving food behaviours and health outcomes. Whilst increased emphasis is being placed on the type of study designs used and how we measure the outcomes, surprisingly little attention gets diverted to the measures of the food environment beyond calls for standardised approaches for food store coding and geographic scales of exposure. Food environments are a challenging concept to measure and model and the use of ratio and proportion measures are becoming more common in food environment research. Whilst these are seemingly an advance on single store type indicators, such as simply counting the number of supermarkets or fast food restaurants present, they have several limitations that do not appear to have been fully considered. MAIN BODY: In this article we report on five issues related to the use of ratio and proportion food environment measures: 1) binary categorisation of food stores; 2) whether they truly reflect a more or less healthy food environment; 3) issues with these measures not reflecting the quantity of food stores; 4) difficulties when no stores are present; and 5) complications in statistical treatment and interpretation of ratio and proportion measures. Each of these issues are underappreciated in the literature to date and highlight that ratio and proportion measures need to be treated with caution. CONCLUSION: Calls for the broader adoption of relative food environment measures may be misguided. Whilst we should continue to search for better ways to represent the complexity of food environments, ratio and proportion measures are unlikely to be the answer.

Methods for accounting for neighbourhood self-selection in physical activity and dietary behaviour research: a systematic review.

BACKGROUND: Self-selection into residential neighbourhoods is a widely acknowledged, but under-studied problem in research investigating neighbourhood influences on physical activity and diet. Failure to handle neighbourhood self-selection can lead to biased estimates of the association between the neighbourhood environment and behaviour. This means that effects could be over- or under-estimated, both of which have implications for public health policies related to neighbourhood (re)design. Therefore, it is important that methods to deal with neighbourhood self-selection are identified and reviewed. The aim of this review was to assess how neighbourhood self-selection is conceived and accounted for in the literature. METHODS: Articles from a systematic search undertaken in 2017 were included if they examined associations between neighbourhood environment exposures and adult physical activity or dietary behaviour. Exposures could include any objective measurement of the built (e.g., supermarkets), natural (e.g., parks) or social (e.g., crime) environment. Articles had to explicitly state that a given method was used to account for neighbourhood self-selection. The systematic review was registered with the PROSPERO International Prospective Register of Systematic Reviews (number CRD42018083593) and was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. RESULTS: Of 31 eligible articles, almost all considered physical activity (30/31); few examined diet (2/31). Methods used to address neighbourhood self-selection varied. Most studies (23/31) accounted for items relating to participants' neighbourhood preferences or reasons for moving to the neighbourhood using multi-variable adjustment in regression models (20/23) or propensity scores (3/23). Of 11 longitudinal studies, three controlled for neighbourhood self-selection as an unmeasured confounder using fixed effects regression. CONCLUSIONS: Most studies accounted for neighbourhood self-selection by adjusting for measured attributes of neighbourhood preference. However, commonly the impact of adjustment could not be assessed. Future studies using adjustment should provide estimates of associations with and without adjustment for self-selection; consider temporality in the measurement of self-selection variables relative to the timing of the environmental exposure and outcome behaviours; and consider the theoretical plausibility of presumed pathways in cross-sectional research where causal direction is impossible to establish.

Neighbourhood fast food exposure and consumption: the mediating role of neighbourhood social norms.

BACKGROUND: The association between the residential fast food environment and diet has gained growing attention. However, why the food environment affects food consumption is under-examined. This study aimed to investigate neighbourhood social norms with respect to fast food consumption as a potential mediating pathway between residential fast food outlet exposure and residents' fast food consumption. METHODS: A correlational study was conducted in which a nationwide sample of 1038 respondents living across The Netherlands completed a survey. Respondents reported their fast food consumption (amount/week) as well as perceived descriptive and injunctive norms regarding fast food consumption in their neighbourhood. Fast food outlet exposure was measured by the average count of fast food outlets within a 400 m walking distance buffer around the zip-codes of the respondents, using a retail outlet database. Regression models were used to assess associations between residential fast food outlet exposure, fast food consumption, and social norm perceptions, and a bootstrapping procedure was used to test the indirect -mediation- effect. Separate analyses were performed for descriptive norms and injunctive norms. RESULTS: There was no overall or direct association between residential fast food outlet exposure and residents' fast food consumption. However, fast food outlet exposure was positively associated with neighbourhood social norms (descriptive and injunctive) regarding fast food consumption, which in turn were positively associated with the odds of consuming fast food. Moreover, results of the bootstrapped analysis provided evidence of indirect effects of fast food outlet exposure on fast food consumption, via descriptive norms and injunctive norms. CONCLUSIONS: In neighbourhoods with more fast food outlets, residents were more likely to perceive fast food consumption in the neighbourhood as more common and appropriate. In turn, stronger neighbourhood social norms were associated with higher fast food consumption. Acknowledging the correlational design, this study is the first that implies that neighbourhood social norms may be a mediating pathway in the relation between the residential fast food environment and fast food consumption. Future research may examine the role of neighbourhood social norms in other contexts and explore how the changing food environment may shift our consumption norms.

Built and social environmental factors influencing healthy behaviours in older Chinese immigrants to Australia: a qualitative study.

BACKGROUND: Neighbourhood environments influence older adults' health and health-enhancing behaviours, such as physical activity, eating a healthy diet and socialising. However, little is known about the effects of the neighbourhood environment on the health of older immigrants, the number of which is rapidly increasing in developed countries. Using Nominal Group Technique (NGT) sessions, this study of older Chinese immigrants to urban Melbourne, Australia, examined built and social environmental facilitators of and barriers to regular engagement in physical activity, eating a healthy diet and regular contact with other people. METHODS: Participants were recruited from four types of neighbourhoods stratified by walkability and proportion of Chinese dwellers. Twelve NGTs, four specific to each of physical activity, healthy diet and social contacts were conducted in Mandarin or Cantonese (91 participants). NGT responses from groups addressing the same questions were aggregated, similar items were combined, and scores combined across groups. Inductive thematic analysis was used to categorise answers into higher-order themes of factors associated with each behaviour. RESULTS: For physical activity, 29 facilitators and 28 barriers were generated with the highest ranked facilitator and barrier being "proximity to destinations" and "poor/inadequate public transport", respectively. For healthy diet, 25 facilitators and 25 barriers were generated, the highest ranked facilitator and barrier were "high food safety standards/regulations" and "lack of family/household members' social support for a healthy diet". The social contacts NGTs generated 23 facilitators and 22 barriers, with the highest ranked facilitator and barrier being "proximity to destinations and activities" and "poor public transport", respectively. DISCUSSION: Independent living arrangements and the accessibility of destinations of daily living (e.g., bilingual health services, libraries, places of worship and grocery stores / supermarkets), recreational facilities, affordable public transport, and community centres and activities for Chinese people are key elements for promoting regular engagement in physical activity, healthy eating and socialising in older Chinese immigrants. Governments should plan for the provision of this basic infrastructure of community facilities for older immigrants.