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Food environments: measuring, mapping, monitoring and modifying

Published online by Cambridge University Press:  29 May 2013

Kylie Ball
Affiliation:
Associate Editor Email: [email protected] School of Exercise and Nutrition SciencesDeakin University221 Burwood Highway, Burwood, VIC 3125, Australia Email: [email protected]
Lukar Thornton
Affiliation:
School of Exercise and Nutrition SciencesDeakin University221 Burwood Highway, Burwood, VIC 3125, Australia Email: [email protected]
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Abstract

Type
Editorials
Copyright
Copyright © The Authors 2013 

Increasing access to healthy and affordable foods in communities is an identified priority of national health agendas in a number of countries(13). Arguably, however, understanding of the particular food access and environmental exposures most important for a healthy diet among different populations remains incomplete.

The empirical investigation of food environments important for diet and health is a relatively young but burgeoning field. Six years ago, in November 2007, the US National Cancer Institute (NCI), in partnership with the Robert Wood Johnson Foundation and other National Institutes of Health centres, convened a workshop aimed at identifying the knowledge gaps and future research needs with regard to measures of food (and physical activity) environments(Reference McKinnon, Reedy and Handy4). Key outcomes of that meeting included advocacy for refinements in conceptual models linking food environments with dietary and health outcomes; and for the advancement of methodologies and measurements of food environmental exposures, including tailoring for communities with particular need (e.g. low income, ethnic minorities). Since then, research into food environments and their impact on eating and health has expanded dramatically. Despite this, findings are far from consistent and many questions remain concerning how, why and for whom environmental factors impact on food purchasing and consumption and associated health outcomes. Efforts to advocate for environmentally focused policies and programmes to improve diet, or to counter environmental initiatives that might contribute to poor diet, have at times floundered as a result. Yet solid evidence is particularly important in this field given that environmental and policy changes are often difficult and expensive to leverage.

This issue of Public Health Nutrition includes a selection of papers reporting on investigations into various aspects of the food environment or ‘foodscapes’ which contribute to addressing the key conceptual and methodological needs raised at the NCI workshop. In the broader food environment literature, environments have been conceptualised at the community (e.g. the type and location of food retail facilities), consumer (e.g. the availability, price, quality of foods within a facility), organisational (e.g. food sources within schools and worksites) and information (e.g. the media and advertising) levels(Reference Glanz, Sallis and Saelens5); all four of these are considered in this issue. Across these domains, the papers can be broadly considered as assessing measurement issues(Reference Hearst, Fulkerson and Parke6, Reference Brimblecombe, Liddle and O'Dea7); mapping and describing food environments(Reference Schneider and Gruber8Reference Horacek, Erdman and Byrd-Bredbenner10); and linking environmental exposures with diet(Reference Jack, Neckerman and Schwartz-Soicher11Reference An13).

Measurement

The accurate identification of environmental effects on diet requires robust measures of environmental exposures, including measures that are sensitive, specific and appropriate for particular target groups and localities. Hearst and colleagues(Reference Hearst, Fulkerson and Parke6) remind us, firstly, that the home also comprises an environmental exposure in terms of food access and is in fact typically the key exposure for young children; and secondly, that the use of existing food environment measures – in this case the Home Food Inventory – for groups with particular cultural or socio-economic needs is not always appropriate. While the inventory functioned relatively well among low-income Spanish-speaking households, it required substantial revision among Somali-speaking participants. In a vastly different population group, yet one also characterised by a high burden of disease attributable to poor nutrition, Brimblecombe and colleagues(Reference Brimblecombe, Liddle and O'Dea7) examined the feasibility of using point-of-sale data to monitor diet quality of food sales in stores in remote Aboriginal Australia. Findings, demonstrating the low cost, low burden and high feasibility of this objective form of assessment, suggest exciting potential for future applications in nutrition monitoring or intervention evaluation.

Mapping

Three papers report on studies mapping and describing food environments in varied settings – within neighbourhoods(Reference Schneider and Gruber8), supermarkets(Reference Cameron, Thornton and McNaughton9) and dining venues near educational institutions(Reference Horacek, Erdman and Byrd-Bredbenner10). In their study, Schneider and Gruber(Reference Schneider and Gruber8) demonstrated a neighbourhood socio-economic gradient in fast-food outlet density and accessibility, confirming findings of previous studies and extending these to Cologne, Germany. Commendably, given the lack of existing registries of food outlet locations, in their study the researchers sourced these themselves on foot or by bicycle. Such ‘ground-truthing’ overcomes potential limitations of incomplete environmental data that have been associated with reliance on secondary forms of food outlet data, such as government or commercial sources(Reference Lake, Burgoine and Greenhalgh14, Reference Liese, Colabianchi and Lamichhane15). Given the similar socio-economic gradients found in their study for alcohol and tobacco retail outlets, the authors suggest that ‘addictive environments’ cluster in socio-economically disadvantaged neighbourhoods (although inclusion of healthy food sources in the study would have helped to rule out the possibility that the clusters simply reflected greater commercialisation in these neighbourhoods). Similarly, Cameron and colleagues(Reference Cameron, Thornton and McNaughton9) demonstrated the potential contribution of features of the food environment to the emergence or maintenance of health inequalities, reporting socio-economic gradients in exposure to energy-dense snacks and beverages within supermarkets in Melbourne, Australia. Collectively, findings of these two studies indicate a potential culmination of health risk exposures of critical concern for those engaged in addressing health inequalities. In the final ecological study, Horacek et al.(Reference Horacek, Erdman and Byrd-Bredbenner10), like Cameron et al., ventured into food retail environments to examine within-store foodscapes – in this case, the dining environments of 243 campus dining outlets or restaurants located on or near fifteen post-secondary educational institutions. They found that unhealthful dining environments – indicated by such features as the low availability of healthy entrées/salad bar, fewer facilitators (e.g. information, healthy promotions, reduced portion sizes) and more barriers (e.g. unhealthy promotions, large portion sizes) to healthy eating – were prevalent in these locations.

Association with individual diet

While each contributes novel data on the foodscapes of various settings, the three ecological studies described above cannot provide conclusive evidence as to the impact of environmental features on diet. Moving further towards that end, two of the papers in this issue have linked environmental exposures with individual behaviour. Van Ansem et al.(Reference Jack, Neckerman and Schwartz-Soicher11) confirm previous reports that the home food environment – specifically, home availability of fruit and vegetables – is positively predictive of children's intakes of these foods. However, they advance previous work by investigating potential determinants of home availability of fruits and vegetables. While their candidate determinants – parental perceptions of local food environments – were not strongly predictive of home availability of fruits and vegetables, their study raises for future research to consider the important question of what it is that leads some parents to purchase and make available these foods within their homes. That study also raises the issue of the importance of considering subjectively assessed environmental exposures. Subjective reports of food environments do not always match those obtained via objective assessment(Reference Williams, Thornton and Crawford16) and they may not predict dietary outcomes in the same way(Reference Giskes, van Lenthe and Brug17). Nevertheless, if subjective food environmental perceptions do predict intakes, they may serve as important intervention levers, regardless of their ‘accuracy’ when considered alongside objective measures.

The study by Jack and colleagues(Reference Jack, Neckerman and Schwartz-Soicher11) found that food outlet density did not predict fruit or vegetable consumption, reminding us that the evidence linking diet with healthy food access is not consistent. However, their study assessed access to food outlets at postcode level only. Assessment of food outlets within an administratively defined region, and near home locations only, is not uncommon among studies in this field. However, this approach does not take into account exposures beyond the residential neighbourhood that might influence food choices, and hence it may mischaracterise the nature of environmental influences on diet. Capturing all potential food-related environmental features, including non-residential exposures (e.g. food stores near work location, recreational or social activities, or child care) is possible through the investigation of activity spaces. Assessment of an activity space – a concept derived from behavioural geography that refers to all destinations visited within a specified time period and the travel routes used(Reference Thornton, Pearce and Kavanagh18) – provides a more comprehensive picture of the multiple contexts to which people are regularly exposed. Early findings(Reference Zenk, Schulz and Matthews19) suggest this approach may identify environmental determinants of diet that are erroneously missed in investigations relying on more typically used residential characterisations of neighbourhood. An activity space approach represents a key methodological advance with much potential for future studies of place effects on diet and health and for informing intervention and policy development.

Finally, the review of the effects of subsidies on healthy food purchasing and consumption(Reference An13) provides relatively conclusive evidence about the impact of one key feature of the food environment – pricing – on food purchasing and consumption behaviours. Of twenty distinct field experiments, An reports that all but one found subsidies on healthy foods to significantly increase purchasing of those foods. While a number of questions relating, for example, to dose–response and cost-effectiveness remain, these findings add to a now relatively solid accumulated body of evidence confirming the effectiveness of economic incentives in modifying dietary behaviours. The author laments, however, that in spite of such evidence, policy adoptions remain scarce.

Research needs

What does this collective of papers, considered in the context of the broader food environment literature, tell us about future research needs? In addition to the research gaps raised above, the field could benefit from continued efforts to accurately measure and monitor environmental exposures; more evidence linking exposures with diet in different populations and contexts; and a better understanding of how food environments influence diet and for whom (for example, research on mediators and moderators of environment–diet associations).

There is also a need to remain mindful of abundant existing evidence of other determinants of dietary intake. We should not overlook decades of research testifying to the importance of key personal, social and other contextual determinants of diet. Is the establishment of a major food retail outlet likely to have any impact on diet in a neighbourhood where the majority of residents have few relevant food procurement or cooking skills, lack motivation to change, perceive healthy food as unaffordable and ‘for the wealthy’, and are exposed to social norms that embrace fast-food consumption over home-cooked vegetables? Such factors are particularly important to consider in environments where unhealthy options are abundant and removal or replacement of these with healthier alternatives is unlikely(Reference Thornton, Jeffery and Crawford20). Researchers are well advised to consider and integrate theoretically grounded determinants from all levels of influence to inform future investigations and generate a more comprehensive understanding of the complex array of both proximal and distal influences on diet.

In cross-sectional studies, non-random residential selection precludes inferences that neighbourhood environments directly influence eating behaviours, and logistics and ethics make it difficult – at times impossible – to test this. While some researchers have attempted to use analytic approaches to deal with issues of residential selection(Reference Zick, Hanson and Fan21), solid evidence that neighbourhood food exposures are causally associated with diet is lacking. But is this important? Schneider and Gruber(Reference Schneider and Gruber8) argue that the cause of associations of environments with diet is not as important for public health initiatives as the resulting consequences regarding neighbourhood environments and health. It may not matter, for example, to know whether food supply follows or creates demand, if the health consequences for the residents are the same.

Public health imperatives

What can be done to address these consequences? In terms of advocacy, practice and policy implications, the papers in this issue and the broader literature suggest a number of imperatives. Efforts are required to combat exposure to foodscapes that are inconsistent with recommendations for healthy eating, as well as food environments that may maintain socio-economic inequalities in nutrition-related outcomes. Actions towards this could include urban planning policies encouraging retail mix and diverse food outlets; licensing laws and restrictions on food outlet location/density; or increasing permeability/travel between neighbourhoods by investing in public transport.

Is the evidence strong enough yet to advocate for change? Increasingly the body of evidence is building a case that the food environment does matter, although, as described above, there remain gaps and inconsistencies that hopefully future research will address. In some cases, however, such as in the case of the positive effective of pricing incentives(Reference An13), we have accumulated sufficient evidence to act. In these instances, environmental and policy change to modify food environments should be complemented with rigorous evaluation of dietary, health and economic impacts to continue to build the evidence base and facilitate future public health action to foster healthy food access for all.

Acknowledgements

K.B. is supported by a National Health and Medical Research Council Principal Research Fellowship, ID 1042442. L.T. is supported by a Deakin University Alfred Deakin Postdoctoral Research Fellowship.

References

1.National Prevention Council (2011) National Prevention Strategy. Washington, DC: US Department of Health & Human Services, Office of the Surgeon General; available at http://www.healthcare.gov/prevention/nphpphc/strategy/report.pdfGoogle Scholar
2.HM Government (2010) White Paper: Healthy Lives, Healthy People: Our Strategy for Public Health in England. London: HM Government; available at https://www.gov.uk/government/publications/healthy-lives-healthy-people-our-strategy-for-public-health-in-englandGoogle Scholar
3.Australian National Preventative Health Taskforce (2009) Australia: The Healthiest Country by 2020. National Preventative Health Strategy – The Roadmap for Action. Canberra: Commonwealth of Australia; available at http://www.preventativehealth.org.au/internet/preventativehealth/publishing.nsf/Content/CCD7323311E358BECA2575FD000859E1/$File/nphs-roadmap.pdfGoogle Scholar
4.McKinnon, RA, Reedy, J, Handy, SLet al. (2009) Measuring the food and physical activity environments: shaping the research agenda. Am J Prev Med 36, 4 Suppl., S81S85.CrossRefGoogle ScholarPubMed
5.Glanz, K, Sallis, JF, Saelens, BEet al. (2005) Healthy nutrition environments: concepts and measures. Am J Health Promot 19, 330333.CrossRefGoogle ScholarPubMed
6.Hearst, MO, Fulkerson, JA, Parke, Met al. (2013) Validation of a home food inventory among low-income Spanish- and Somali-speaking families. Public Health Nutr 16, 11511158.CrossRefGoogle ScholarPubMed
7.Brimblecombe, J, Liddle, R & O'Dea, K (2013) Use of point-of-sale data to assess food and nutrient quality in remote stores. Public Health Nutr 16, 11591167.CrossRefGoogle ScholarPubMed
8.Schneider, S & Gruber, J (2013) Neighbourhood deprivation and outlet density for tobacco, alcohol and fast food: first hints of obesogenic and addictive environments in Germany. Public Health Nutr 16, 11681177.CrossRefGoogle ScholarPubMed
9.Cameron, AJ, Thornton, LE, McNaughton, SAet al. (2013) Variation in supermarket exposure to energy-sense snack foods by socio-economic position. Public Health Nutr 16, 11781185.CrossRefGoogle ScholarPubMed
10.Horacek, TM, Erdman, MB, Byrd-Bredbenner, Cet al. (2013) Assessment of the dining environment on and near the campuses of fifteen post-secondary institutions. Public Health Nutr 16, 11861196.CrossRefGoogle ScholarPubMed
11.Jack, D, Neckerman, K, Schwartz-Soicher, Oet al. (2013) Socio-economic status, neighbourhood food environments and consumption of fruits and vegetables in New York City. Public Health Nutr 16, 11971205.CrossRefGoogle ScholarPubMed
12.Van Ansem, WJB, Schrijvers, CTM, Rodenburg, Get al. (2013) Is there an association between the home food environment, the local food shopping environment and children's fruit and vegetable intake? Results from the Dutch INPACT study. Public Health Nutr 16, 12061214.CrossRefGoogle ScholarPubMed
13.An, R (2013) Effectiveness of subsidies in promoting healthy food purchases and consumption: a review of field experiments. Public Health Nutr 16, 12151228.CrossRefGoogle ScholarPubMed
14.Lake, AA, Burgoine, T, Greenhalgh, Fet al. (2010) The foodscape: classification and field validation of secondary data sources. Health Place 16, 666673.CrossRefGoogle ScholarPubMed
15.Liese, AD, Colabianchi, N, Lamichhane, APet al. (2010) Validation of 3 food outlet databases: completeness and geospatial accuracy in rural and urban food environments. Am J Epidemiol 172, 13241333.CrossRefGoogle ScholarPubMed
16.Williams, LK, Thornton, L, Crawford, Det al. (2012) Is the objective food environment associated with perceptions of the food environment? Public Health Nutr 15, 291298.CrossRefGoogle ScholarPubMed
17.Giskes, K, van Lenthe, FJ, Brug, Jet al. (2007) Socioeconomic inequalities in food purchasing: the contribution of respondent-perceived and actual (objectively measured) price and availability of foods. Prev Med 45, 4148.CrossRefGoogle ScholarPubMed
18.Thornton, LE, Pearce, JR & Kavanagh, AM (2011) Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary. Int J Behav Nutr Phys Act 8, 71.CrossRefGoogle ScholarPubMed
19.Zenk, SN, Schulz, AJ, Matthews, SAet al. (2011) Activity space environment and dietary and physical activity behaviors: a pilot study. Health Place 17, 11501161.CrossRefGoogle ScholarPubMed
20.Thornton, LE, Jeffery, RW & Crawford, D (2012) Barriers to avoiding fast-food consumption in an environment supportive of unhealthy eating. Public Health Nutr (Epublication ahead of print version).Google Scholar
21.Zick, CD, Hanson, H, Fan, JXet al. (2013) Re-visiting the relationship between neighbourhood environment and BMI: an instrumental variables approach to correcting for residential selection bias. Int J Behav Nutr Phys Act 10, 27.CrossRefGoogle ScholarPubMed