To identify eating occasion-level and individual-level factors associated with the consumption of larger portions in young children and estimate their relative importance.

Cross-sectional.

Data from parent-reported 4-d food diaries in the UK National Diet and Nutrition Survey (2008–2017) were analysed. Multilevel models explored variation in eating occasion size (kJ) within (n 48 419 occasions) and between children (n 1962) for all eating occasions. Eating contexts: location, eating companion, watching TV, and sitting at a table and individual characteristics: age, gender, ethnicity and parental socio-economic status were explored as potential correlates of eating occasion size.

Children aged 1·5–5 years.

Median eating occasion size was 657 kJ (IQR 356, 1117). Eating occasion size variation was primarily attributed (90 %) to differences between eating occasions. Most (73 %) eating occasions were consumed at home. In adjusted models, eating occasions in eateries were 377 kJ larger than at home. Eating occasions sitting at a table, v. not, were 197 kJ larger. Eating in childcare, with additional family members and friends, and whilst watching TV were other eating contexts associated with slightly larger eating occasion sizes.

Eating contexts that vary from one eating occasion to another are more important than demographic characteristics that vary between children in explaining variation in consumed portion sizes in young children. Strategies to promote consumption of age-appropriate portion sizes in young children should be developed, especially in the home environment, in eating contexts such as sitting at the table, eating with others and watching TV.

To conduct formative research using qualitative methods among stakeholders of secondary schools to explore their perceptions, barriers and facilitators related to healthy eating and physical activity (PA) among Malaysian adolescents.

A qualitative study involving eight focus groups and twelve in-depth interviews. Focus groups and interviews were recorded and transcribed verbatim. An inductive thematic analysis approach was used to analyse the data.

Four secondary schools in Perak and Selangor states (two urban and two rural schools) in Malaysia.

Focus groups were conducted with seventy-six adolescents aged 13–14 years, and in-depth interviews were conducted with four headmasters, four PA education teachers and four food canteen operators.

Stakeholders thought that adolescents’ misperceptions, limited availability of healthy options, unhealthy food preferences and affordability were important challenges preventing healthy eating at school. Low-quality physical education (PE) classes, limited adolescent participation and teachers’ commitment during lessons were perceived as barriers to adolescents being active at school. Affordability was the main challenge for adolescents from rural schools. Stakeholders perceived that a future school-based intervention should improve the availability and subsidies for healthy foods, provide health education/training for both adolescents and PE teachers, enhance active adolescent participation in PE and develop social support mechanisms to facilitate engagement with PA.

These findings provide important insights into developing school-based lifestyle interventions to improve healthy eating and strengthening PA of Malaysian adolescents.

Interventions to reduce adolescents’ non-core food intake (i.e. foods high in fat and sugar) could target specific people or specific environments, but the relative importance of environmental contexts v. individual characteristics is unknown.

Cross-sectional.

Data from 4d food diaries in the UK National Diet and Nutrition Survey (NDNS) 2008–2012 were analysed. NDNS food items were classified as ‘non-core’ based on fat and sugar cut-off points per 100g of food. Linear multilevel models investigated associations between ‘where’ (home, school, etc.) and ‘with whom’ (parents, friends, etc.) eating contexts and non-core food energy (kcal) per eating occasion (EO), adjusting for variables at the EO (e.g. time of day) and adolescent level (e.g. gender).

Adolescents (n 884) aged 11–18 years.

Only 11 % of variation in non-core energy intake was attributed to differences between adolescents. In adjusted models, non-core food intake was 151 % higher (ratio; 95 % CI) in EO at ‘Eateries’ (2·51; 2·14, 2·95) and 88 % higher at ‘School’ (1·88; 1·65, 2·13) compared with ‘Home’. EO with ‘Friends’ (1·16; CI 1·03, 1·31) and ‘Family & friends’ (1·21; 1·07, 1·37) contained 16–21 % more non-core food compared with eating ‘Alone’. At the individual level, total energy intake and BMI, but not social class, gender or age, were weakly associated with more non-core energy intake.

Regardless of individual characteristics, adolescents’ non-core food consumption was higher outside the home, especially at eateries. Targeting specific eating contexts, not individuals, may contribute to more effective public health interventions.

Little is known about adolescents’ non-core food intake in the UK and the eating context in which they consume non-core foods. The present study aimed to describe types of non-core foods consumed by British adolescents in total and across different eating contexts.

A descriptive analysis, using cross-sectional data from food diaries. Non-core foods were classified based on cut-off points of fat and sugar from the Australian Guide to Healthy Eating. Eating context was defined as ‘where’ and ‘with whom’ adolescents consumed each food. Percentages of non-core energy were calculated for each food group in total and across eating contexts. A combined ranking was then created to account for each food’s contribution to non-core energy intake and its popularity of consumption (percentage of consumers).

The UK National Diet and Nutrition Survey 2008–2011.

Adolescents across the UK aged 11–18 years (n 666).

Non-core food comprised 39·5 % of total energy intake and was mostly ‘Regular soft drinks’, ‘Crisps & savoury snacks’, ‘Chips & potato products’, ‘Chocolate’ and ‘Biscuits’. Adolescents ate 57·0 % and 51·3 % of non-core food at ‘Eateries’ or with ‘Friends’, compared with 33·2 % and 32·1 % at ‘Home’ or with ‘Parents’. Persistent foods consumed across eating contexts were ‘Regular soft drinks’ and ‘Chips & potato products’.

Regular soft drinks contribute the most energy and are the most popular non-core food consumed by adolescents regardless of context, and represent a good target for interventions to reduce non-core food consumption.