There is widespread concern about the rapidly increasing prevalence of childhood obesity in Western countries(Reference Lobstein, Baur and Uauy1). Obesity is the result of sustained energy imbalance and epidemiological evidence suggests that specific eating behaviours contribute to high-energy and high-fat diets. Eating fast food is one such eating behaviour that is becoming more common among children(Reference St-Onge, Keller and Heymsfield2); it has been associated with weight gain among adults(Reference Duffey, Gordon-Larsen, Jacobs, Williams and Popkin3–Reference Ball, Brown and Crawford5) and with poorer dietary profiles, such as higher total energy, percentage energy from fat and soft drink intake and lower consumption of fruit and vegetables, among children(Reference Bowman, Gortmaker, Ebbeling, Pereira and Ludwig6, Reference Paeratakul, Ferdinand, Champagne, Ryan and Bray7), adolescents(Reference French, Story, Neumark-Sztainer, Fulkerson and Hannan8) and adults(Reference Paeratakul, Ferdinand, Champagne, Ryan and Bray7). Although changing the neighbourhood fast-food environment has been suggested as a potential strategy for improving dietary behaviours(Reference Booth, Sallis and Ritenbaugh9), surprisingly little empirical research has examined environmental correlates of eating behaviours(Reference Ball, Timperio and Crawford10).
Several studies have examined how the availability of different types of food stores, such as fast-food outlets, convenience stores and out-of-home eating outlets, varies across geographic areas of differing socio-economic status (SES), with mixed results(Reference Reidpath, Burns, Garrard, Mahoney and Townsend11–Reference Macdonald, Cummins and Macintyre19). However, few studies have examined whether exposure to such outlets is associated with greater consumption of takeaway or fast food. The little existing research shows no association between adiposity and availability of fast-food outlets among children(Reference Burdette and Whitaker20–Reference Sturm and Datar22) and mixed evidence among adults(Reference Simmons, McKenzie, Eaton, Cox, Khan, Shaw and Zimmet23–Reference Jeffery, Baxter, McGuire and Linde25). The notion that availability of food outlets may influence dietary behaviours has merit, however, since there is some evidence that children with greater availability of fast-food outlets and convenience stores close to home are less likely to consume recommended amounts of fruit and vegetables(Reference Timperio, Ball, Roberts, Campbell, Andrianopoulos and Crawford26). The aim of the present study was to examine associations between availability of outlets where takeaway or fast food can be purchased close to home and along the route to school and regular consumption of these foods among children.
Methods
Parents of children aged 5–6 and 10–12 years in Melbourne and Geelong, Australia, completed questionnaires about their child’s eating behaviours in 2002 or 2003. These data were combined with data extracted from a geographic information system (GIS) in 2004–5. Survey data collection was approved by the Deakin University Ethics Committee, the Department of Education and Training Victoria and the Catholic Education Office.
Sample
Parents of children in grade prep (primary school entry grade, 5–6 years) and grades 5 and 6 (final primary school grades, 10–12 years) were recruited from twenty-four primary schools which had enrolments of greater than 200 students(Reference Salmon, Campbell and Crawford27). These state and Catholic schools were randomly sampled from the Greater Melbourne and Geelong areas from postcodes with high, medium and low SES(28). Recruitment procedures have been reported elsewhere(Reference Salmon, Campbell and Crawford27). Briefly, of the 3695 children provided with invitational materials about the study to take home to their parents, 1560 (42 %) provided active consent and took part. Only children for whom data were available regarding their residential address and frequency of consumption of takeaway or fast food were included in the analyses (343 children aged 5–6 years and 463 aged 10–12 years).
Measures
Sociodemographic variables
The questionnaire administered to parents requested details of parent’s marital status, the highest level of maternal education (collapsed into three categories: low, did not complete high school; medium, high school or technical or trade certificate; high, university or tertiary qualification), maternal employment and whether English was usually spoken at home.
Neighbourhood socio-economic status
For each child, neighbourhood SES was determined at the postcode level using the Socio-Economic Index For Areas (SEIFA) Index of Relative Socio-Economic Advantage/Disadvantage(28). Higher scores on this index reflect a more advantaged area. Neighbourhoods were stratified into SES tertiles.
Takeaway or fast food consumption
Parents were asked how frequently per week their child usually ate takeaway or fast foods (e.g. pizza, hamburgers and chips) at home and away from home. In Australia, ‘takeaway’ food typically refers to full meals purchased from fast-food outlets, restaurants, cafés and takeaway stores (e.g. fish and chip shops), but taken home or elsewhere to eat or home-delivered for immediate consumption. Six response options were provided: never or rarely; less than once weekly; once weekly; about 2–3 times weekly; about 4–6 times weekly; every day. Frequencies of takeaway and fast food consumption at home or away from home were combined and dichotomised as less than once weekly and at least once weekly to indicate regular consumption. Test–retest reliability of the dichotomised variable among a subset of thirty-eight parents who were administered these questions on two occasions 2–3 weeks apart was excellent (85 % agreement).
Context of fast food or takeaway consumption
Parents were asked how frequently they or a co-carer ate takeaway or fast food with their child at home or away from home, took their child to a fast-food restaurant and provided money to their child to buy snacks, treats or fast food. Response options were identical to those previously described and each item was dichotomised as less than once weekly v. at least once weekly.
Access to food outlets
The availability of food outlets where takeaway or fast foods could be purchased was determined using the GIS software ArcView 3·3 and relevant extensions (ESRI, Redlands, CA, USA). Outlets where takeaway or fast foods could be purchased included fast-food chain outlets, cafés, restaurants, takeaway stores and convenience stores, and their physical addresses were obtained from food premises registers kept by local government, electronic databases (including telephone directories and company websites) and online and printed dining guides. The locations of the food outlets, residential addresses of participants and the school attended were geo-coded and overlaid with the road network (VicMap Transport v2004; owned and supplied by the State of Victoria).
Consistent with previous work(Reference Timperio, Ball, Roberts, Campbell, Andrianopoulos and Crawford26), three measures of availability from home were computed: (i) distance to the closest outlet along the shortest possible route; (ii) number of outlets within a 800 m road network buffer (i.e. within a walking distance); and (iii) existence of any outlet within the 800 m network buffer (0 outlets; ≥1 outlet). In addition, the shortest possible route to school along the road network was identified for each participant and two measures of availability along the route were computed: (i) number of outlets along the route (operationalised as within 50 m either side of the road centreline); and (ii) access to any outlets along the route (0 outlets; ≥1 outlet).
Statistical analyses
Statistical analyses were performed using the STATA statistical software package version 8·0 (Stata Corporation, College Station, TX, USA). Regular consumption of takeaway or fast food was compared by sex within age group, and by age group within sex, using Pearson’s χ 2 tests. Consumption of takeaway or fast food and availability of outlets were compared according to neighbourhood SES using independent t tests or Pearson’s χ 2 tests. Separate logistic regression analyses were performed to predict regular consumption of takeaway or fast food using each measure of availability of outlets as independent variables (unadjusted models). Each model was repeated adjusting for neighbourhood-level SES (adjusted models). All regression models controlled for potential clustering according to the sampling unit (school attended) using the CLUSTER command and were also repeated stratified by age group.
Results
Sample profile
Similar proportions of boys and girls participated (Table 1). Most parents were married or living as married (de facto relationship) and most families usually spoke English at home. Maternal education was skewed towards medium to higher levels of education and just over 40 % of female carers had full- or part-time paid employment.
Takeaway or fast food consumption
Overall, 69·4 % of children regularly consumed takeaway or fast food. There were no differences in the proportion of children consuming takeaway or fast food according to sex among either age group, according to age group among boys or girls, nor according to neighbourhood SES.
Overall, 62·4 % of children ate takeaway or fast food with a parent or co-carer at least once weekly, 18·7 % took their child to fast-food restaurants at least once weekly and 39·7 % of parents or co-carers provided money to their child to buy snacks, treats or fast food.
Availability of food stores close to home and en route to school
On average, the closest outlet from home where fast food or takeaway could be purchased was 0·7 (sd 0·5) km away and children had access to an average of 4·0 (sd 5·9) outlets within 800 m of home and 2·1 (sd 6·1) en route to school. Over two-thirds (69·6 %) of children had at least one outlet within 800 m of home and 40·8 % at least one en route to school. There were differences in availability according to neighbourhood SES (Table 2).
SES, socio-economic status.
a,bMean values within a row with unlike superscript letters were significantly different (one-way ANOVA with Sheffé post hoc tests): P < 0·05.
*χ 2 test of significance: P < 0·001.
Associations between availability of food stores and consumption of takeaway or fast foods
The results of logistic regression analyses predicting consumption of takeaway or fast food are shown in Table 3. Only density of stores close to home was associated with consuming takeaway or fast food at least once weekly; however, this association was borderline and in a negative direction. When analyses were stratified by age group, this association was found only among older children (OR = 0·9, 95 % CI 0·8, 0·9, P = 0·003). Older children with at least one outlet close to home were also less likely to consume takeaway or fast food regularly (OR = 0·7, 95 % CI 0·5, 0·9, P = 0·016).
*Significant association: P < 0·05.
†Adjusted only for clustering by school.
‡Adjusted for neighbourhood-level socio-economic status and clustering by school.
Discussion
It has been suggested that changing the neighbourhood fast-food environment, while likely to be difficult, could potentially have a large impact on dietary behaviours(Reference Booth, Sallis and Ritenbaugh9). However, the present study did not find associations in the expected direction between availability of outlets where takeaway or fast food could be purchased close to home or along a frequently travelled route and regular takeaway or fast food consumption among children. Regardless of the neighbourhood environment, our findings show that parents are likely to play an important role in regulating children’s access to outlets where takeaway and fast food can be purchased. In the present study, 62 % of participants usually ate takeaway or fast food with a parent, and 19 % were usually taken to a fast-food restaurant by a parent every week. Thus, parents are likely to be important mediators of consumption of takeaway and fast food.
Results related to outlet availability and SES were mixed. Children living in low-SES areas were more likely to have an outlet of this type within 800 m and to live closer to one such outlet, but had a similar number of outlets available compared with children living in high-SES areas. However, children living in high-SES areas had more than twice as many outlets where takeaway or fast food could be purchased en route to school than did children in low- or medium-SES areas. These conflicting results may reflect the types of land uses permitted and the nature of the street network in the neighbourhoods studied. For example, Macintyre et al.(Reference Macintyre, McKay, Cummins and Burns16) found few out-of-home eating outlets located in primarily residential areas and suggested that such outlets are more likely to be located where they would receive the highest level of exposure. Consistent with this view, two US studies have found that fast food(Reference Austin, Melly, Sanchez, Patel, Buka and Gortmaker29, Reference Kipke, Iverson, Moore, Booker, Ruelas, Peters and Kaufman30) and snack(Reference Kipke, Iverson, Moore, Booker, Ruelas, Peters and Kaufman30) outlets are concentrated around schools. While the current study is unique in considering the potential impact of repeated exposure along a route frequently travelled by children (to school), no associations with consumption were found.
The use of objective measures of the neighbourhood food environment unique to each participant rather than at the area level and the use of multiple sources to identify outlets are strengths of the present study. However, the study was cross-sectional and, although reliable, the validity (particularly for older children) of parent reports of their child’s behaviour is unknown. It is also not known how long participants had lived at their address or how long each outlet had been trading. Since the locations of food outlets were sourced during the two years following the survey (2004 and 2005), it is possible that some outlets may have opened or closed in the interim. In addition, specific menu options at each outlet included in the study were not gathered; thus, restaurants or cafés that did not offer takeaway or fast food could not be excluded. Further, although our sample did not differ from the original sample according to sociodemographics and takeaway or fast food consumption, the subset included a greater proportion of children with high maternal education than the original sample (39·1 % v. 32·8 %).
The present study suggests that exposure to outlets where takeaway or fast food can be purchased close to home or en route to school is not associated with the frequency children consume these types of food. The findings may also help to explain null findings of previous research examining relationships between availability of fast-food outlets and obesity among children(Reference Burdette and Whitaker20–Reference Sturm and Datar22). Future research should examine other types of eating behaviours and could include older children or adolescents who may have more autonomy to visit or buy food from such stores.
Acknowledgements
Survey data collection was funded by the Victorian Health Promotion Foundation, and collection and geo-coding of data related to locations of food outlets was funded in part by the State of Victoria through its Department of Human Services (DHS). The views and conclusions are those of the authors and do not necessarily represent those of DHS. A.F.T. and D.A.C. were supported by Public Health Research Fellowships from the Victorian Health Promotion Foundation. K.B. was supported by a National Health and Medical Research Council Senior Research Fellowship. There are no conflicts of interest. A.F.T. and K.B. designed and A.F.T. oversaw the food environment component of the study. R.R. performed all spatial analyses and N.A. and A.F.T. conducted statistical analyses. D.A.C. conceived and oversaw the collection of the survey component of the study. A.F.T. drafted the manuscript and all authors helped interpret results and provided critical feedback. The authors wish to thank Dr Michelle Jackson, Sophie Thal-Janzen, Jackie Newman, Anne Savige and Kate Udorovich, David Attard and Dr Remy Sietchiping for their assistance in survey or spatial data collection, and Kellie Horton from DHS for comments on a draft.