Mycoprotein is a fungal-based ingredient rich in fibre and protein used in meat substitutes called Quorn. Fibre and protein positively regulate glycaemia, lipidaemia and energy intake which are non-communicable diseases’ (NCD) markers. We performed a cross-sectional study to investigate the association of mycoprotein intake with diet quality, nutrient, energy intake and NCD risk within 5507 UK free-living adults from the National Diet and Nutrition Survey from years 2008/2009 to 2016/2017. Dietary approaches to stop hypertension (DASH) and healthy diet index (HDI) were calculated to estimate diet quality. Comparison between mycoprotein consumers (>1 % kcal) and non-consumers, and associations between consumers and nutrient intakes, NCD’s risk markers and diet quality were investigated using a survey-adjusted general linear model adjusted for sex, age, BMI, ethnicity, socio-economic, smoking status, region of residency, total energy, energy density, HDI and non-mycoprotein fibre intake. Mycoprotein consumers (3·44 % of the cohort) had a higher intake of dietary fibre (+22·18 %, P < 0·001), DASH score (+23·33 %) and HDI (+8·89 %) (P < 0·001, both) and lower BMI (−4·77 %, P = 0·00) v. non-consumers. There was an association (P = 0·00) between mycoprotein consumers and diet quality scores (+0·19 and +0·26), high fibre (+3·17 g), total and food energy (+3·09 and +0·22 kcal), but low energy density intakes (−0·08 kcal/g, P = 0·04). Consumers were negatively associated with fasting blood glucose (−0·31 mmol/l, P = 0·00) and glycated HbA1c (−0·15 %, P = 0·01). In conclusion, mycoprotein intake is associated with lower glycaemic markers and energy density intake, and high fibre, energy intake and diet quality scores.

We aimed to evaluate the association between eating context patterns and ultraprocessed food consumption at two main meal occasions in a representative sample of UK adolescents. Data were acquired from 4-d food records of adolescents aged 11–18 years, who participated in the 2014–2016 UK National Diet and Nutrition Survey (n 542). The eating context was assessed considering the location of the meal (lunch and dinner) occasion, the individuals present, whether the television was on and if the food was consumed at a table. Ultraprocessed foods were identified using the NOVA classification. Exploratory factor analysis was used to identify eating context patterns for lunch and dinner. Linear regression models adjusted for the covariates were utilised to test the association between eating context patterns and the proportion of total daily energy intake derived from ultraprocessed foods. Their contribution was about 67 % to energy intake. Three patterns were retained for lunch (‘At school with friends’, ‘TV during family meal’ and ‘Out-of-home (no school)’), and three patterns were retained for dinner (‘Watching TV alone in the bedroom’, ‘TV during family meal’ and ‘Out-of-home with friends’). At lunch, there was no significant association between any of the three patterns and ultraprocessed food consumption. At dinner, the patterns ‘Watching TV alone in the bedroom’ (coefficient: 4·95; 95 % CI 1·87, 8·03) and ‘Out-of-home with friends’ (coefficient: 3·13; 95 % CI 0·21, 6·14) were associated with higher consumption of ultraprocessed food. Our findings suggest a potential relationship between the immediate eating context and ultraprocessed food consumption by UK adolescents.

Although breakfast consumption is widely considered to be an important component of a healthy lifestyle, few UK studies have examined differences in nutrient intakes between breakfast consumers and breakfast skippers among children and adolescents. We investigated associations between breakfast skipping in 4–18-year-olds and their nutrient intakes using data from the UK’s National Diet and Nutrition Survey Rolling Programme. Dietary data were derived from 4-d estimated food diaries of 802 children aged 4–10 years and 884 children aged 11–18 years (1686 in total). Daily nutrient intakes of children with different breakfast habits were compared by one-way ANCOVA adjusting for relevant covariates (sex, age, ethnicity, equivalised household income and BMI). Within-person analysis was carried out on children with an irregular breakfast habit (n 879) comparing nutrient intakes on breakfast days with those on non-breakfast days using repeated measures ANCOVA. We observed that the overall nutritional profile of the children in terms of fibre and micronutrient intake was superior in frequent breakfast consumers (micronutrients: folate, Ca, Fe and I (P<0·01)) and, for the 4–10 years age group, on breakfast days (micronutrients: folate, vitamin C, Ca and I (P<0·01)). Also, significantly higher proportions of breakfast-consuming children met their reference nutrient intakes of folate, vitamin C, Ca, Fe and I compared with breakfast skippers (χ2 analysis, P<0·001). Our study adds to the body of data linking breakfast consumption with higher quality dietary intake in school-age children, supporting the promotion of breakfast as an important element of a healthy dietary pattern in children.

There is some evidence from studies in adults and limited evidence from studies in children that eating later in the day may increase the risk of overweight and obesity. In this cross-sectional study, we investigated associations between evening meal timing in children and their weight status and energy intake. Dietary data obtained from the UK’s National Diet and Nutrition Survey Rolling Programme (2008–2012) for 768 children aged 4–10 years and 852 children aged 11–18 years were analysed. We tested for an association between evening meal timing (consuming the evening meal before or after 20.00 hours) and risk of overweight and/or obesity, adjusting for relevant confounding variables. We also explored whether evening meal timing was associated with overall nutrient intake. We found no association between evening meal timing and risk of obesity or risk of overweight and obesity combined in either the 4–10 years age group (obesity: OR 1·43; 95 % CI 0·49, 4·13; obesity and overweight combined: OR 1·33; 95 % CI 0·53, 3·33) or the 11–18 years age group (obesity: OR 0·50; 95 % CI 0·24, 1·02; obesity and overweight combined: OR 0·83; 95 % CI 0·50, 1·38), split by sex or as combined. No significant associations were found between evening meal timing and energy intake, and no clear patterns in variation of nutrient intakes with evening meal times were identified. In conclusion, we found no evidence that, for children aged 4–18 years in the UK, eating the evening meal after 20.00 hours was associated with excess weight or increased energy intake.