Understanding regional food environments: A qualitative exploration of food purchasing behaviour

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.

Store-specific grocery shopping patterns and their association with objective and perceived retail food environments

OBJECTIVE

To explore store-specific grocery shopping patterns and assess associations with the objective and perceived retail food environment (RFE).

DESIGN

This cross-sectional study used principal component analysis and hierarchical cluster analysis to identify grocery shopping patterns and logistic regression models to assess their associations with the RFE, while adjusting for household characteristics.

SETTING

The Montpellier Metropolitan Area, France.

PARTICIPANTS

To be eligible for inclusion, participants had to be 18 years of age or older and reside in the Montpellier Metropolitan Area. Analyses were carried out on 415 households.

RESULTS

Households of cluster 'Supermarket' (49 % of households) primarily shopped at supermarkets and were less likely to live near a convenience store. Households of cluster 'Diversified' (18 %) shopped mostly at organic stores, at markets, at specialised stores, and from producers and were more likely to have a market in their activity space. Households of cluster 'Discount' (12 %) primarily shopped at discounters and were less likely to perceive a producer in their activity space. Households of cluster 'Convenience' (12 %) mostly shopped online or in convenience stores. Finally, households of cluster 'Specialized' (9 %) had high expenditures in greengrocers and in other specialised food stores and were more likely to live near a specialised food store.

CONCLUSIONS

This study highlighted the importance of considering both perceived and objective RFE indicators, as well as assessments around the home and in activity space. Understanding how people buy food and interact with their RFE is crucial for policymakers seeking to improve urban food policies.

Influence of food environment on ultra-processed drinks consumption among an economically vulnerable population in a metropolitan area in Brazil: A multilevel analysis

Ultra-processed drinks (UPDs) consumption is increasing, and this intake has been associated with the risk of illness and death. Data on individuals (n = 430) and food stores (n = 231) were collected in an economically vulnerable area in Recife-Brazil, and multilevel regression models were applied to assess the association between UPDs consumption with food environment characteristics. The results show 29.5% of individuals consume UPDs, higher UPD consumption was significantly associated with age (OR: 0.96), lower educational levels (OR:2.06), high density of stores predominantly selling UPFs (OR:2.34) and lower availability of FV in stores (OR:0.49). The applied methodology can inform food environment interventions to reduce UPDs consumption.