Implementation of Universal Infant Free School Meals: a pilot study in NE England exploring the impact on Key Stage 1 pupil's dietary intake.

OBJECTIVE: To consider the principal effect of an interaction between year (pre- and post-Universal Infant Free School Meals (UIFSM)) and school on pupil's dietary intakes. DESIGN: A repeated cross-sectional survey using dietary data from 2008 to 2009 (pre-) and 2017 to 2018 (post-UIFSM). SETTING: Two primary schools, NE England. PARTICIPANTS: Pupils aged 4-7 years (2008-2009 n 121; 2017-2018 n 87). RESULTS: At lunchtime, there was a statistically significant decrease in pupils non-milk extrinsic sugars intake (%E NMEs) pre- to post-UIFSM (mean change -4·6 %; 95 % CI -6·3, -2·9); this was reflected in total diet (-3·8 %; -5·2, -2·7 %). A year and school interaction was found for mean Ca intakes: post-UIFSM pupils in School 2 had a similar mean intake as pre; in School 1 intakes had increased (difference of difference: -120 mg; 95 % CI -179, -62); no reflection in total diet. Post-UIFSM mean portions of yogurt decreased in School 2 and remained similar in School 1 (-0·25; -0·46, -0·04); this was similar for 'cake/pudding' and fruit. CONCLUSIONS: Within the limitations, these findings highlight positives and limitations following UIFSM implementation and demonstrate the role of school-level food practices on pupil's choices. To facilitate maximum potential of UIFSM, national levers, such as discussions on updating school food standards, including sugars, could consider removing the daily 'pudding' option and advocate 'fruit only' options 1 d/week, as some schools do currently. Small school-level changes could maximise positive health impacts by decreasing NMEs intake. A more robust evaluation is imperative to consider dietary impacts, equitability and wider effects on schools and families.

Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trial.

Background: Optimal nutritional choices are linked with better health, but many current interventions to improve diet have limited effect. We tested the hypothesis that providing personalized nutrition (PN) advice based on information on individual diet and lifestyle, phenotype and/or genotype would promote larger, more appropriate, and sustained changes in dietary behaviour. Methods: : Adults from seven European countries were recruited to an internet-delivered intervention (Food4Me) and randomized to: (i) conventional dietary advice (control) or to PN advice based on: (ii) individual baseline diet; (iii) individual baseline diet plus phenotype (anthropometry and blood biomarkers); or (iv) individual baseline diet plus phenotype plus genotype (five diet-responsive genetic variants). Outcomes were dietary intake, anthropometry and blood biomarkers measured at baseline and after 3 and 6 months' intervention. Results: At baseline, mean age of participants was 39.8 years (range 18-79), 59% of participants were female and mean body mass index (BMI) was 25.5 kg/m 2 . From the enrolled participants, 1269 completed the study. Following a 6-month intervention, participants randomized to PN consumed less red meat [-5.48 g, (95% confidence interval:-10.8,-0.09), P = 0.046], salt [-0.65 g, (-1.1,-0.25), P = 0.002] and saturated fat [-1.14 % of energy, (-1.6,-0.67), P < 0.0001], increased folate [29.6 µg, (0.21,59.0), P = 0.048] intake and had higher Healthy Eating Index scores [1.27, (0.30, 2.25), P = 0.010) than those randomized to the control arm. There was no evidence that including phenotypic and phenotypic plus genotypic information enhanced the effectiveness of the PN advice. Conclusions: Among European adults, PN advice via internet-delivered intervention produced larger and more appropriate changes in dietary behaviour than a conventional approach.