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Background: Previous studies have shown that meal timing, poor sleep quality, and chronotype may play a relevant role in the development of type 2 diabetes mellitus (T2DM). However, its relationship with macronutrients by eating occasions has not been explored deeply. Objective: Our aim was to estimate the association between chrono-nutrition, sleep quality, chronotype, and the prevalence of T2DM. Methods: This cross-sectional study included a subset of 3465 middle-aged Caucasian adults (2068 women) from the European Prospective Investigation into Cancer and Nutrition (EPIC) Spain cohort study. In the 2017–18 follow-up, we assessed chronotype, sleep quality, diet, and sociodemographic data using validated questionnaires. Further, we used blood samples to determine serum levels of glucose. We defined a case of T2DM when serum glucose concentration was ≥126 mg/dL or when participants self-reported diabetes. Results: A higher prevalence of T2DM was associated with poor sleep quality (ORpoorvsgood = 2.90, 95% CI = 1.30, 6.28). Carbohydrate intake at breakfast was inversely associated with the prevalence of T2DM (OR = 0.75, 95% CI = 0.66, 0.85). Finally, lipid intake at breakfast was associated with a 13% higher prevalence of T2DM (OR = 1.13, 95% CI = 1.01, 1.26) for each 1 standard deviation (1-SD) increase. Conclusions: This study concludes that a higher content of carbohydrates at breakfast is correlated with a reduced prevalence of T2DM, while higher lipids intake at breakfast is associated with a higher prevalence of T2DM. Furthermore, poor sleep quality is a potential factor associated with an elevated prevalence of T2DM. Our results emphasize the need for prospective studies to validate and strengthen these observed associations.

Background Congenital anomalies (CAs) increase the risk of death during infancy and childhood. This study aimed to evaluate the accuracy of using death certificates to estimate the burden of CAs on mortality for children under 10 years old.Methods Children born alive with a major CA between 1 January 1995 and 31 December 2014, from 13 population-based European CA registries were linked to mortality records up to their 10th birthday or 31 December 2015, whichever was earlier.Results In total 4199 neonatal, 2100 postneonatal and 1087 deaths in children aged 1–9 years were reported. The underlying cause of death was a CA in 71% (95% CI 64% to 78%) of neonatal and 68% (95% CI 61% to 74%) of postneonatal infant deaths. For neonatal deaths the proportions varied by registry from 45% to 89% and by anomaly from 53% for Down syndrome to 94% for tetralogy of Fallot. In children aged 1–9, 49% (95% CI 42% to 57%) were attributed to a CA. Comparing mortality in children with anomalies to population mortality predicts that over 90% of all deaths at all ages are attributable to the anomalies. The specific CA was often not reported on the death certificate, even for lethal anomalies such as trisomy 13 (only 80% included the code for trisomy 13).Conclusions Data on the underlying cause of death from death certificates alone are not sufficient to evaluate the burden of CAs on infant and childhood mortality across countries and over time. Linked data from CA registries and death certificates are necessary for obtaining accurate estimates.

Introduction Linking healthcare data sets can create valuable resources for research, particularly when investigating rare exposures or outcomes. However, across Europe, the permissions processes required to access data can be complex. This paper documents the processes required by the EUROlinkCAT study investigators to research the health and survival of children with congenital anomalies in Europe.Methods Eighteen congenital anomaly registries in 14 countries provided information on all the permissions required to perform surveillance of congenital anomalies and to link their data on live births with available vital statistics and healthcare databases for research. Small number restrictions imposed by data providers were also documented.Results The permissions requirements varied substantially, with certain registries able to conduct congenital anomaly surveillance as part of national or regional healthcare provision, while others were required to obtain ethics approvals or informed consent. Data linkage and analysis for research purposes added additional layers of complexity for registries, with some required to obtain several permissions, including ethics approvals to link the data. Restrictions relating to small numbers often resulted in a registry’s data on specific congenital anomalies being unusable.Conclusion The permissions required to obtain and link data on children with congenital anomalies varied greatly across Europe. The variation and complexity present a significant obstacle to the use of such data, especially in large data linkage projects. Furthermore, small number restrictions severely limited the research that could be performed for children with specific rare congenital anomalies.