Snacking is a common eating behaviour, but there is little objective data about children’s snacking. We aimed to determine the frequency and context of children’s snacking (n = 158; mean age = 12.6 years) by ethnicity, gender, socioeconomic deprivation and body mass index (BMI) children. Participants wore wearable cameras that passively captured images of their surroundings every seven seconds. Images (n = 739,162) were coded for snacking episodes, defined as eating occasions in between main meals. Contextual factors analysed included: snacking location, food source, timing, social contact and screen use. Rates of total, discretionary (not recommended for consumption) and healthful (recommended for consumption) snacking were calculated using negative binomial regression. On average, children consumed 8.2 (95%CI 7.4, 9.1) snacks per day, of which 5.2 (95%CI 4.6, 5.9) were discretionary foods/beverages. Children consumed more discretionary snacks than healthful snacks in each setting and at all times, including 15.0× more discretionary snacks in public spaces and 2.4× more discretionary snacks in schools. Most snacks (68.9%) were sourced from home. Girls consumed more total, discretionary and healthful snacks than boys, and Māori and Pacific consumed fewer healthful snacks than New Zealand (NZ) Europeans. Results show that children snack frequently, and that most snacking involves discretionary food items. Our findings suggest targeting home buying behaviour and environmental changes to support healthy snacking choices.

Marketing promotes values of consumerism and overconsumption, and negatively affects children's wellbeing and psychological development. The threat marketing poses to planetary health is just being realised. However, little is known about children's exposure to marketing at an aggregate level. Using an objective method of wearable cameras, we aimed to determine the nature and extent of children's exposure to marketing. Kids'Cam was a cross-sectional study of children aged 11-13 years in New Zealand, from which we randomly selected a sample of 90 children. Children wore cameras from when they woke up until they went to sleep for four consecutive days (Thursday-Sunday) that captured images at an angle of 136° every 7 s for exposure to marketing. Marketing brands were categorised into three groups: core food and social marketing messages, harmful commodities (eg, non-core food, alcohol, and gambling), or other. Exposure rates by marketing medium, setting, and product category were calculated using negative binomial regression models. From June 21, 2014, to June 30, 2015, we recruited 168 children, and randomly selected data from 90 children for the present study. Children in this study were exposed to a mean of 554 brands per 10 h day (95% CI 491-625), nearly a brand a minute, through multiple mediums (predominantly brand labels [36% of exposures] and product packaging [22%]) and mostly in schools (43%) and at home (30%). Food and beverages (20% of exposures) were the dominant product category. The most pervasive marketing brands typically sold a range of products across more than one product category (eg, children were exposed to Nike on average 20 exposures per day). Children were exposed to more than twice as many harmful commodities (mean 76 per 10 h day [95% CI 55-105]) as core food and social marketing messages (32 [26-39]) per day. We found that children are repeatedly exposed to marketing through multiple mediums and across all settings, and our findings suggests that marketing privileges particular messages, for example, marketing of harmful commodities. Given the key role marketing plays in establishing and supporting consumption norms, and perpetuating the normalisation of overconsumption which contributes to environmental degradation, these findings suggest an urgent need to reduce marketing to promote planetary health. This research was funded by a University of Otago, Dean's Research Grant. The Kids'Cam study was funded by a Health Research Council of New Zealand Programme Grant (13/724).

Access to unhealthy commodities is a key factor determining consumption, and therefore influences the prevalence of non-communicable diseases. Recently, there has been an increase in the availability of food ‘on-demand’ via meal delivery apps (MDAs). However, the public health and equity impacts of this shift are not yet well understood. This study focused on three MDAs in New Zealand and aimed to answer (1) what is the health profile of the foods being offered on-demand, (2) how many food outlets are available and does this differ by physical access or neighbourhood demographics and (3) does the health profile of foods offered differ by physical access or neighbourhood demographics? A dataset was created by sampling a set of street addresses across a range of demographic variables, and recording the menu items and number of available outlets offered to each address. Machine learning was utilised to evaluate the healthiness of menu items, and we examined if healthiness and the number of available outlets varied by neighbourhood demographics. Over 75% of menu items offered by all MDAs were unhealthy and approximately 30% of all menu items across the three MDAs scored at the lowest level of healthiness. Statistically significant differences by demographics were identified in one of the three MDAs in this study, which suggested that the proportion of unhealthy foods offered was highest in areas with the greatest socioeconomic deprivation and those with a higher proportion of Māori population. Policy and regulatory approaches need to adapt to this novel mode of access to unhealthy foods, to mitigate public health consequences and the effects on population groups already more vulnerable to non-communicable diseases.

Increasing rates of childhood obesity worldwide has focused attention on the obesogenic food environment. This paper reports an analysis of children’s interactions with food in convenience stores. Kids’Cam was a cross-sectional study conducted from July 2014 to June 2015 in New Zealand in which 168 randomly selected children aged 11–14 years old wore a wearable camera for a 4–day period. In this ancillary study, images from children who visited a convenience store were manually coded for food and drink availability. Twenty-two percent of children (n = 37) visited convenience stores on 62 occasions during the 4-day data collection period. Noncore items dominated the food and drinks available to children at a rate of 8.3 to 1 (means were 300 noncore and 36 core, respectively). The food and drinks marketed in-store were overwhelmingly noncore and promoted using accessible placement, price offers, product packaging, and signage. Most of the 70 items purchased by children were noncore foods or drinks (94.6%), and all of the purchased food or drink subsequently consumed was noncore. This research highlights convenience stores as a key source of unhealthy food and drink for children, and policies are needed to reduce the role of convenience stores in the obesogenic food environment.