The development of an EU-wide nutrition and physical activity expert knowledge base to support a personalised mobile application across various EU population groups.

A healthy lifestyle comprising regular physical activity and an adequate diet is imperative for the prevention of non-communicable diseases such as hypertension and some cancers. Advances in information computer technology offer the opportunity to provide personalised lifestyle advice directly to the individual through devices such as smartphones or tablets. The overall aim of the PROTEIN project (Wilson-Barnes et al., 2021) was to develop a smartphone application that could provide tailored and dynamic nutrition and physical activity advice directly to the individual in real time. However, to create this mobile health (m-health) smartphone application, a knowledge base of reference ranges for macro-/micronutrient intake, anthropometry, biochemical, physiological and sleep parameters was required to underpin the parameters of the recommender systems. Therefore, the principal aim of this emerging research paper is to describe the process by which experts in nutrition and physiology from the PROTEIN consortium collaborated to develop the nutritional and physical activity requirements, based upon existing recommendations, for 10 separate population groups living within the EU including, but not limited to healthy adults, adults with type 2 diabetes mellitus, cardiovascular disease, excess weight, obesity and iron deficiency anaemia. A secondary aim is to describe the development of a library of 24-h meal plans appropriate for the same groups and also encompassing various dietary preferences and allergies. Overall, the consortium devised an extensive nutrition and physical activity knowledge base that is pertinent to 10 separate EU user groups, is available in 7 different languages and is practically implemented via a library of culturally appropriate, 24-h meal plans.

Impact of Christian Orthodox Church dietary recommendations on metabolic syndrome risk factors: a scoping review.

Fasting has been a practice among followers of different religions for many years. Christian Orthodox Church (COC) fasting is a periodic vegetarian-type diet in which seafood and snails are allowed on most fasting days. The present scoping review aimed to present available data regarding the benefits of COC fasting on metabolic syndrome (MetS) risk factors. Databases were searched for available studies. Twenty publications, with a total of 1226 fasting participants, provided data on the effects on different variables of MetS, including blood pressure, blood lipids and anthropometric measurements. Fasters' diet is characterised by low saturated and trans fat intake, high complex carbohydrate and fibre consumption, due to permissible foods. COC fasting has no deficiency in essential amino acid intake since seafood and snails are allowed on fasting days. Fasters have healthier blood lipid profiles during and after COC fasting periods, and total cholesterol, LDL-cholesterol, systolic blood pressure, body weight and BMI are reduced after a fasting period. Due to restricted or forbidden intake of specific foods during the COC fasting periods, one might expect that fasters have reduced intake of macro- and micronutrients, but as shown in the available literature, there are no deficiencies. Future research on COC fasting is needed in areas not investigated at all, like MetS, before reaching definite conclusions.

Exercise monitoring of young adults using a Facebook application.

Facebook, with a record 1.7+ billion monthly active users, is increasingly the platform of choice for a multitude of e-health applications. This work presents our experience in exercise monitoring using a custom-built Facebook application for activity self-reporting. A group of young adults (n = 49, age = 24 ± 7 years, body mass index (BMI) = 22.5 ± 3) took part in a 5-week pilot study, part of the NutriHeAl intervention project. Participants reported their daily exercise activities for an average of 33 ± 5 days and were also equipped with digital pedometers (Fibit Zips) for the full duration, allowing the evaluation of their activity reporting accuracy by comparing steps/min to a 'truth ceiling' value for two pre-defined exercise categories (2 + and 3+ metabolic equivalent of task (MET) intensity). We found that users not only reported their exercise consistently for an extended period of time but also achieved an average accuracy score of 71 ± 21% (82 ± 18% for 2+ MET exercises), making this novel exercise monitoring methodology a formidable tool for a modern physician's digital arsenal. In addition, the developed tools and processes can also be re-used in other e-health applications.