To analyse nutritional and packaging characteristics of toddler-specific foods and milks in the Australian retail food environment to identify how such products fit within the Australian Dietary Guidelines (ADG) and the NOVA classification.

Cross-sectional retail audit of toddler foods and milks. On-pack product attributes were recorded. Products were categorised as (1) food or milk; (2) snack food or meal and (3) snacks sub-categorised depending on main ingredients. Products were classified as a discretionary or core food as per the ADG and level of processing according to NOVA classification.

Supermarkets and pharmacies in Australia.

A total of 154 foods and thirty-two milks were identified. Eighty percentage of foods were snacks, and 60 % of foods were classified as core foods, while 85 % were ultraprocessed (UP). Per 100 g, discretionary foods provided significantly more energy, protein, total and saturated fat, carbohydrate, total sugar and Na (P < 0·001) than core foods. Total sugars were significantly higher (P < 0·001) and Na significantly lower (P < 0·001) in minimally processed foods than in UP foods. All toddler milks (n 32) were found to have higher energy, carbohydrate and total sugar levels than full-fat cow’s milk per 100 ml. Claims and messages were present on 99 % of foods and all milks.

The majority of toddler foods available in Australia are UP snack foods and do not align with the ADG. Toddler milks, despite being UP, do align with the ADG. A strengthened regulatory approach may address this issue.

To elucidate the mechanisms of how snack foods may induce non-homeostatic food intake, we used resting state functional magnetic resonance imaging (fMRI), as resting state networks can individually adapt to experience after short time exposures. In addition, we used graph theoretical analysis together with machine learning techniques (support vector machine) to identifying biomarkers that can categorize between high-caloric (potato chips) vs. low-caloric (zucchini) food stimulation.

Seventeen healthy human subjects with body mass index (BMI) 19 to 27 underwent 2 different fMRI sessions where an initial resting state scan was acquired, followed by visual presentation of different images of potato chips and zucchini. There was then a 5-minute pause to ingest food (day 1=potato chips, day 3=zucchini), followed by a second resting state scan. fMRI data were further analyzed using graph theory analysis and support vector machine techniques.

Potato chips vs. zucchini stimulation led to significant connectivity changes. The support vector machine was able to accurately categorize the 2 types of food stimuli with 100% accuracy. Visual, auditory, and somatosensory structures, as well as thalamus, insula, and basal ganglia were found to be important for food classification. After potato chips consumption, the BMI was associated with the path length and degree in nucleus accumbens, middle temporal gyrus, and thalamus.

The results suggest that high vs. low caloric food stimulation in healthy individuals can induce significant changes in resting state networks. These changes can be detected using graph theory measures in conjunction with support vector machine. Additionally, we found that the BMI affects the response of the nucleus accumbens when high caloric food is consumed.

To examine demographic and behavioural correlates of unhealthy snack-food consumption among Australian secondary-school students and the association between their perceptions of availability, convenience and intake with consumption.

Cross-sectional survey of students’ eating, physical activity and sedentary behaviours using validated instruments administered via an online questionnaire.

Australian secondary schools across all states/territories.

Secondary-school students aged 12–17 years participating in the 2009–10 National Secondary Students’ Diet and Activity (NaSSDA) survey (n 12 188).

Approximately one in five students (21 %) reported consuming unhealthy snack foods ≥14 times/week (‘frequent snackers’). After adjusting for all covariates, older students and those with a BMI of ≥25 kg/m2 were less likely to be frequent snackers, while students who reported high fast-food and high sugar-sweetened beverage consumption and those who watched television for >2 h/d were more likely to snack frequently. Furthermore, after adjusting for all covariates and demographic factors, students who agreed that snack foods are usually available at home, convenient to buy and that they eat too many snack foods were more likely to be snacking frequently. Conversely, students who agreed that fruit is a convenient snack were less likely to be frequent snackers.

Frequent unhealthy snack-food consumption appears to cluster with other poor health behaviours. Perceptions of availability and convenience are factors most readily amenable to change, and findings suggest interventions should focus on decreasing the availability of unhealthy snack foods in the home and promoting healthier options such as fruit as convenient snacks.

The present study aimed to examine the availability of energy-dense, nutrient-poor snack foods (and fruits and vegetables) in supermarkets located in socio-economically advantaged and disadvantaged neighbourhoods.

Cross-sectional supermarket audit.

Melbourne, Australia. Measures included product shelf space and number of varieties for soft drinks, crisps, chocolate, confectionery and fruits and vegetables, as well as store size.

Thirty-five supermarkets (response 83 %) from neighbourhoods in the lowest and highest quintile of socio-economic disadvantage.

Shelf space allocated to soft drinks (23·6 m v. 17·7 m, P = 0·006), crisps (16·5 m v. 13·0 m, P = 0·016), chocolate (12·2 m v. 10·1 m, P = 0·022) and confectionery (6·7 m v. 5·1 m, P = 0·003) was greater in stores from socio-economically disadvantaged neighbourhoods. After adjustment for store size (stores in disadvantaged areas being larger), shelf space for confectionery (6·3 m v. 5·6 m, P = 0·024) and combined shelf space for all energy-dense foods and drinks (55·0 m v. 48·9 m, P = 0·017) remained greater in stores from socio-economically disadvantaged neighbourhoods. The ratio of shelf space allocated to fruits and vegetables to that for energy-dense snack foods also varied by socio-economic disadvantage after adjustment for store size (most disadvantaged v. least disadvantaged: 1·7 v. 2·1, P = 0·025). Varieties of fruits and vegetables and chocolate bars were more numerous in less disadvantaged areas (P < 0·05).

Exposure to energy-dense snack foods and soft drinks in supermarkets was greater in socio-economically disadvantaged neighbourhoods. This may impact purchasing, consumption and cultural norms related to eating behaviours and may therefore work against elimination of the known socio-economic gradient in obesity levels. Reform of supermarket stocking practices may represent an effective means of obesity prevention.