Mathilde Touvier

Background Food intake plays a pivotal role in regulating circadian rhythms, which modulate glucose and lipid homeostasis. However, studies investigating the association of meal timing and type 2 diabetes (T2D) incidence are lacking. The objective of this study was to investigate the longitudinal associations of meal timing, number of eating occasions and night-time fasting duration with incidence of T2D. Methods In total, 103 312 adults [79% women, mean age at baseline = 42.7 (SD = 14.6)] from the NutriNet-Santé cohort (2009–21) were included. Participants’ meal timings and frequency were assessed using repeated 24-h dietary records and averaged from the first 2 years of follow-up (5.7 records/participant). Associations of meal timing, number of eating occasions and night-time fasting duration with incidence of T2D were assessed by using multivariable Cox proportional hazard models adjusted for known risk factors. Results During a median follow-up of 7.3 years, 963 new cases of T2D were ascertained. Compared with participants habitually having a first meal before 8AM, those eating after 9AM had a higher incidence of T2D (HR = 1.59, 95% CI 1.30–1.94). Time of last meal was not associated with T2D incidence. Each additional eating episode was associated with a lower incidence of T2D (HR = 0.95, 95% CI 0.90–0.99). Night-time fasting duration was not associated with T2D incidence, except in participants having breakfast before 8AM and fasting for >13 h overnight (HR = 0.47, 95% CI 0.27–0.82). Conclusions In this large prospective study, a later first meal was associated with a higher incidence of T2D. If confirmed in other large-scale studies, an early breakfast should be considered in preventing T2D.

Population genetic models only provide coarse representations of real-world ancestry. We used a pedigree compiled from 4 million parish records and genotype data from 2276 French and 20,451 French Canadian individuals to finely model and trace French Canadian ancestry through space and time. The loss of ancestral French population structure and the appearance of spatial and regional structure highlights a wide range of population expansion models. Geographic features shaped migrations, and we find enrichments for migration, genetic, and genealogical relatedness patterns within river networks across regions of Quebec. Finally, we provide a freely accessible simulated whole-genome sequence dataset with spatiotemporal metadata for 1,426,749 individuals reflecting intricate French Canadian population structure. Such realistic population-scale simulations provide opportunities to investigate population genetics at an unprecedented resolution.

Background Interpretive front-of-pack labels (FoPLs) are supported by World Health Organization as an important policy tool to promote healthy diets. At present, various FoPLs formats co-exist in the European Union (EU). However, as part of the Farm to Fork strategy published in 2020, the European Commission stated that it would propose a single mandatory FoPL. The aim of this study was to analyze Spanish consumers’ preference and objective understanding of Nutri-Score and NutrInform, two FoPLs that are currently the subject of debate in the EU. Methods In a representative sample of 1026 Spanish adults (50% women, mean age ± SD = 46 ± 14 years), objective understanding was assessed by asking participants to identify the healthiest food products in three food categories (breakfast products, breakfast cereals and added fats). The preference dimensions were tested by asking participants about the perceived helpfulness of the FoPL in discriminating the nutritional quality of food products (subjective understanding) and their overall assessment of the FoPL’s ease of use, informativeness, trust and liking (perception). Results In terms of objective understanding, Nutri-Score was significantly associated with an increase in consumers’ ability to identify healthier food products across all food categories compared with NutrInform [OR (odds ratio) = 19.1 [14.2–25.7], P < 0.0001]. On the preference dimension, Nutri-Score was perceived as significantly easier to use and was more liked than NutrInform (standardized principal component analysis dimension, respectively, 0.32 ± 1.58 vs. −0.29 ± 1.66, P < 0.0001 and 0.080 ± 1.18 vs. −0.072 ± 1.17, P = 0.039). Conclusions This study provides new evidence to support Nutri-Score in comparison with NutrInform in Spanish consumers, on both objective understanding and preference aspects.