Complementary Feeding Practices: Recommendations of Pediatricians for Infants with and without Allergy Risk.

AIM: To investigate the routine guidance provided by pediatricians concerning the timing of complementary feeding (CF) for both healthy infants and those at a heightened risk of allergies. METHODS: A total of 233 pediatricians participated in an anonymous online survey that included questions about demographics and recommendations for CF. Specifically, they provided guidance on the types of foods, preparation methods, supplements, time intervals for introducing new foods to infants at low and high allergy risk, and delayed food introductions for high-risk cases. RESULTS: The respondents advised introducing certain foods at specific ages: fruits, starchy non-gluten grains, vegetables, olive oil, and meat were appropriate at 6 months; gluten-rich grains at 7 months; yogurt, hard-boiled eggs, and legumes at 8 months; fish at 8.5 months; and nuts at 9 months. Pediatricians, especially those with less than 15 years of practice, often introduced egg, seafood, gluten-rich grains, legumes, and nuts earlier for high-risk infants. Parenthood and male gender were associated with the earlier introduction of eggs and grains. CONCLUSIONS: Greek pediatricians follow a structured food introduction schedule for CF in infants. Interestingly, they tend to delay the introduction of common food allergens and recommend longer intervals between introducing new foods, particularly for high-risk infants. Key Notes: Despite recent evidence-based indications on healthy complementary feeding strategies for infants, discrepancies persist among pediatricians regarding food choices and the order and timing of food introduction, both for healthy infants and those at risk of allergy. Guidance on complementary feeding by pediatricians is influenced by their individual characteristics. Pediatricians tend to delay the introduction of common food allergens and recommend longer intervals between introducing new foods, particularly for high-risk infants.

Consumption of Ultra-Processed Food and Drink Products in a Greek Christian Orthodox Church Fasting Population.

The positive effects of the Mediterranean diet on healthy living are widely known, while the health effects of religious fasting have received increased attention during the last decade. However, no study has focused on the consumption of ultra-processed foods (UPFs) in such populations. Therefore, our aim was to investigate UPF intake and its association with metabolic syndrome (MetS) in a Christian Orthodox church (COC) religious fasting population in Greece. In this cross-sectional study, 400 individuals who follow the Mediterranean diet were included, stratified as COC fasters and non-fasters. Dietary intake data were collected via three 24 h diet recalls and a monthly food frequency questionnaire (FFQ). The NOVA food classification system was used to identify the level of processing and categorize all food items. Fasters consumed significantly less chicken, turkey, and beef and significantly more seafood, fish, snails, soy products, and fresh fruits, in terms of unprocessed or minimally processed foods, as well as significantly more fried potatoes and olives in terms of processed foods when compared with non-fasters. Regarding UPFs, a significantly lower intake of pork sausages, ketchup, and mustard as well as a significantly higher consumption of margarine and tarama dip were recorded in fasters compared with non-fasters. Fasters with MetS more frequently consumed UPFs (such as cheese pastries, biscuits, and cakes) than fasters without MetS (p < 0.05 for all comparisons). Similarly, non-fasters with MetS had an increased intake of UPFs (such as Cypriot bread and Coco Pops breakfast cereals) than non-fasters without MetS. Future research should focus on UPF consumption and its associations with clinical outcomes in such populations, thus providing further data for the potential health effects of COC fasting.

Association between Dietary Patterns and Metabolic Syndrome Risk Factors: A Cross-Sectional Study of Christian Orthodox Church Fasters and Non-Fasters in Greece.

It is well known that the Mediterranean diet contributes to healthy living, prevention of non-communicable diseases, and longevity. A cross-sectional study was conducted with participants from Greece who follow the Mediterranean diet and were further divided into two categories: (i) Christian Orthodox Church (COC) religious fasters and (ii) non-fasters. Four-hundred individuals underwent anthropometric measurements, whereas information regarding dietary intake was collected via three 24 h diet recalls and a monthly food frequency questionnaire. Principal component analysis was performed to derive dietary patterns, whereas associations between dietary patterns and metabolic syndrome (MetS) risk factors were investigated with the general linear model. Non-fasters (n = 200) were found to consume significantly more beef, chicken, turkey, sausage, broth, fried potatoes, ketchup, and mustard, while consuming less seafood, snails, soya, tarama salads, fresh fruits, margarine, olives, and decaf coffee. Two distinct dietary patterns were identified in fasters: (i) the "Mixed Diet" and (ii) the "Plant-based/Fasting Diet" pattern. Moreover, three patterns were identified in non-fasters, and were identified as follows: (i) the "Western Diet", (ii) the "Mixed Diet", and (iii) the "Mediterranean-like Diet" pattern. No significant association was observed between dietary patterns and the prevalence of MetS in our population. Further epidemiological studies should evaluate the links between dietary patterns and MetS prevalence within the adult Greek population.

Does Religious Fasting Have a Protective Role against Metabolic Syndrome in Individuals Aged >50 Years?

OBJECTIVE: The Christian Orthodox Church (COC) fasting is a periodic vegetarian-type diet lasting 180-200 days annually in which seafood and snails are allowed on all fasting days. Our aim was to investigate the effects of COC fasting on metabolic syndrome (MetS) in adults >50 years. METHODS: One hundred seventy-six individuals participated in the study (mean age 59.7 ± 6.0 years). Eighty-nine had been following the COC fasting regime since their childhood and eighty-seven were non-fasters. Anthropometric measurements, blood samples, and nutrient intake data were collected at a scheduled appointment, during a non-fasting period. RESULTS: Fasters had significantly higher hip circumference (102 ± 8.5 vs. 98.8 ± 7.5 cm, p = 0.009), low-density lipoprotein (LDL) cholesterol (136 ± 73 vs. 115 ± 51 mg/dL, p = 0.033), and folic acid levels (6.0 ± 4.0 vs. 3.0 ± 1.2 ng/mL, p = 0.018), as well as lower systolic blood pressure (SBP) (131 ± 13 vs. 136 ± 14 mmHg, p = 0.045), diastolic blood pressure (DBP) (80 ± 8 vs. 83 ± 7 mmHg, p = 0.007), glucose (87 ± 16 vs. 93 ± 25 mg/dL, p = 0.039), and triglycerides (143 ± 94 vs. 175 ± 84 mg/dL, p = 0.040). Fasters had significantly less intake of calories (1493.65 ± 363.74 vs. 1614.65 ± 426.28 kcal, p = 0.044) and fat (81.17 ± 25.47 vs. 90.74 ± 24.75 g, p = 0.012), whereas they also consumed significantly less vitamin A-retinol, vitamin B2, vitamin B12, vitamin E, folic acid, pantothenic acid, calcium, phosphorus, zinc, and significantly more vitamin C (p < 0.005 for all comparisons). BP was significantly higher in non-fasters (44.8 vs. 22.5%, p = 0.002), whereas MetS was more frequently present in non-fasters vs. fasters, with a marginal level of significance (35.6 vs. 22.5%, p = 0.055). CONCLUSIONS: COC fasting may affect beneficially MetS prevalence in individuals >50 years, although future research is needed before reaching definite conclusions.

Focus of Sustainable Healthy Diets Interventions in Primary School-Aged Children: A Systematic Review.

Research and public policy interest regarding Sustainable Healthy Diets (SHDs) have increased during the last decades, as nutrition recommendations and diet practices should align with growing environmental concerns. SHDs encompass sociocultural, economic and environmental components of nutrition and health and raising awareness across all these dimensions, as well as providing relevant education, especially to young children, is important for adopting SHD practices. Primary school students (5-12 years old) are often the target population for interventions, as they are considered agents of change for educating the community. The objective of this systematic review is to map the SHD indicators addressed by such interventions in order to identify gaps and opportunities for future interventions in this population. Scopus, PubMed and Web of Science were searched for available publications, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA 2020) methodology. After screening for eligibility, thirteen intervention studies were included and reviewed. Results showed that indicator definitions and measuring methods were not harmonized across research efforts. Implemented SHD interventions address predominantly food waste and diet quality, while social and economic indicators are underrepresented. The standardization of SHD, focusing on measurable harmonized indicators, should be a priority for policy actors in order to enable impactful research efforts. Future interventions should incorporate clear SHD indicators to raise awareness and consider the application of composite tools or indexes to evaluate outcomes and maximize impact in the community.

Nutrient Intake and Risk Factors for Metabolic Syndrome in Christian Orthodox Church Religious Fasters.

OBJECTIVE: Studies regarding health effects of religious fasting have been increased during the last decade. Our aim was to investigate the impact of adherence to the periodic Christian Orthodox Church (COC) fasting on nutrient intake, body composition, and risk factors for metabolic syndrome (MetS). METHODS: Four-hundred individuals aged 42.6 ± 17.0 years participated in this cross-sectional study. Two-hundred subjects followed the COC fasting since childhood or at least the last twelve consecutive years, and two-hundred subjects did not follow the COC fasting regimes or any other restrictive dietary pattern. Socioeconomic data, lifestyle habits, and physical activity data were collected. Nutritional assessment was performed via two 24 h recalls and a food frequency questionnaire. Anthropometric data and biochemical parameters were also measured. RESULTS: Fasters had a significantly lower daily intake of calories (1547 vs. 1662 kcals, p = 0.009), protein (52 vs. 59 g, p = 0.001), fat (82 vs. 89 g, p = 0.012), and cholesterol (147 vs. 178 g, p = 0.001) compared with non-fasters. Furthermore, fasters reported a healthier way of living, with lower rates of smoking and alcohol consumption (p < 0.001 and 0.002, respectively). Insulin and magnesium levels were significantly higher, whereas levels of urea, transaminases, glucose, and phosphorus were significantly lower, as was DBP in fasters versus non-fasters. Furthermore, MetS prevalence was non-significantly higher in non-faster compared with fasters. CONCLUSION: During a non-fasting period, individuals following the COC fasting recommendations reported lower intake of calories, protein, fat, and cholesterol compared with non-fasters. Fasters tended to have a healthier lifestyle pattern and a lower risk for MetS versus non-fasters. Some biochemical parameters also significantly differed between the two study groups. Further research is warranted to establish the long-term clinical impact of these findings.

The Interplay between Metabolic Syndrome and Religious Fasting in Postmenopausal Women.

Religious fasting that involves abstinence from specific food(s) is part of many religions worldwide and has been gaining attention by the research community during the last years. The study aimed to investigate whether the periodic Christian Orthodox fasting mitigates the changes in body composition, dietary intake, and metabolic syndrome (MetS) in postmenopausal women. One hundred and thirty-four postmenopausal women aged 57.3 ± 6.7 years participated in this study. The Christian Orthodox fasting was followed by 68 postmenopausal women since their childhood, whereas 66 postmenopausal women were non-fasters. Data collection involved anthropometric, biochemical, clinical, and dietary information. Postmenopausal women who fasted according to Christian Orthodox Church recommendations had significantly higher mean fat free mass (45 vs. 44 kg, p = 0.002), hip circumference (104 vs. 99 cm, p = 0.001), and diastolic blood pressure (79 vs. 82 mmHg, p = 0.024). No other differences were found with regards to anthropometric data. Fasters also consumed significantly less fat (78 vs. 91 g, p = 0.006), as well as saturated (19 vs. 23 g, p = 0.015), monounsaturated (41 vs. 47 g, p = 0.018), and polyunsaturated fat (8.5 vs. 10 g, p = 0.023), trans fatty acids (0.5 vs. 2.3 g, p = 0.035), and cholesterol (132 vs. 176 g, p = 0.011). In terms of MetS features, non-fasters had more frequently elevated fasting blood glucose (11.8 vs. 24.2%, p = 0.039) and elevated blood pressure (13.2 vs. 36.4%, p = 0.041) compared with fasters. MetS was more common in non-fasters versus fasters with a marginal level of significance (30.3 vs. 23.5%, p = 0.052). Postmenopausal women who follow the Christian Orthodox fasting regime had lower fat intake, and no other difference in nutrient intake, compared with non-fasters. The latter were more likely to have MetS and some of its components. Overall, periodic abstinence from meat, dairy products, and eggs might play a protective role in postmenopausal women with regard to MetS.

PROTEIN AI Advisor: A Knowledge-Based Recommendation Framework Using Expert-Validated Meals for Healthy Diets.

AI-based software applications for personalized nutrition have recently gained increasing attention to help users follow a healthy lifestyle. In this paper, we present a knowledge-based recommendation framework that exploits an explicit dataset of expert-validated meals to offer highly accurate diet plans spanning across ten user groups of both healthy subjects and participants with health conditions. The proposed advisor is built on a novel architecture that includes (a) a qualitative layer for verifying ingredient appropriateness, and (b) a quantitative layer for synthesizing meal plans. The first layer is implemented as an expert system for fuzzy inference relying on an ontology of rules acquired by experts in Nutrition, while the second layer as an optimization method for generating daily meal plans based on target nutrient values and ranges. The system's effectiveness is evaluated through extensive experiments for establishing meal and meal plan appropriateness, meal variety, as well as system capacity for recommending meal plans. Evaluations involved synthetic data, including the generation of 3000 virtual user profiles and their weekly meal plans. Results reveal a high precision and recall for recommending appropriate ingredients in most user categories, while the meal plan generator achieved a total recommendation accuracy of 92% for all nutrient recommendations.

Toward Systems Models for Obesity Prevention: A Big Role for Big Data.

The relation among the various causal factors of obesity is not well understood, and there remains a lack of viable data to advance integrated, systems models of its etiology. The collection of big data has begun to allow the exploration of causal associations between behavior, built environment, and obesity-relevant health outcomes. Here, the traditional epidemiologic and emerging big data approaches used in obesity research are compared, describing the research questions, needs, and outcomes of 3 broad research domains: eating behavior, social food environments, and the built environment. Taking tangible steps at the intersection of these domains, the recent European Union project "BigO: Big data against childhood obesity" used a mobile health tool to link objective measurements of health, physical activity, and the built environment. BigO provided learning on the limitations of big data, such as privacy concerns, study sampling, and the balancing of epidemiologic domain expertise with the required technical expertise. Adopting big data approaches will facilitate the exploitation of data concerning obesity-relevant behaviors of a greater variety, which are also processed at speed, facilitated by mobile-based data collection and monitoring systems, citizen science, and artificial intelligence. These approaches will allow the field to expand from causal inference to more complex, systems-level predictive models, stimulating ambitious and effective policy interventions.

Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach.

The ubiquitous nature of smartphone ownership, its broad application and usage, along with its interactive delivery of timely feedback are appealing for health-related behavior change interventions via mobile apps. However, users' perspectives about such apps are vital in better bridging the gap between their design intention and effective practical usage. In this vein, a modified technology acceptance model (mTAM) is proposed here, to explain the relationship between users' perspectives when using an AI-based smartphone app for personalized nutrition and healthy living, namely, PROTEIN, and the mTAM constructs toward behavior change in their nutrition and physical activity habits. In particular, online survey data from 85 users of the PROTEIN app within a period of 2 months were subjected to confirmatory factor analysis (CFA) and regression analysis (RA) to reveal the relationship of the mTAM constructs, i.e., perceived usefulness (PU), perceived ease of use (PEoU), perceived novelty (PN), perceived personalization (PP), usage attitude (UA), and usage intention (UI) with the users' behavior change (BC), as expressed via the acceptance/rejection of six related hypotheses (H1-H6), respectively. The resulted CFA-related parameters, i.e., factor loading (FL) with the related p-value, average variance extracted (AVE), and composite reliability (CR), along with the RA results, have shown that all hypotheses H1-H6 can be accepted (p < 0.001). In particular, it was found that, in all cases, FL > 0.5, CR > 0.7, AVE > 0.5, indicating that the items/constructs within the mTAM framework have good convergent validity. Moreover, the adjusted coefficient of determination (R 2) was found within the range of 0.224-0.732, justifying the positive effect of PU, PEoU, PN, and PP on the UA, that in turn positively affects the UI, leading to the BC. Additionally, using a hierarchical RA, a significant change in the prediction of BC from UA when the UI is used as a mediating variable was identified. The explored mTAM framework provides the means for explaining the role of each construct in the functionality of the PROTEIN app as a supportive tool for the users to improve their healthy living by adopting behavior change in their dietary and physical activity habits. The findings herein offer insights and references for formulating new strategies and policies to improve the collaboration among app designers, developers, behavior scientists, nutritionists, physical activity/exercise physiology experts, and marketing experts for app design/development toward behavior change.

Associations between Christian Orthodox Church Fasting and Adherence to the World Cancer Research Fund's Cancer Prevention Recommendations.

Objective: Studies regarding the health effects of religious fasting have increased in the last decade. The aim of this research was to investigate the relationship between Christian Orthodox Church (COC) fasting recommendations and cancer risk, with a specific focus on fibre, fruit, vegetables, and red and processed meat consumption. Methods: In this cross-sectional study, participants included 361 individuals from Northern Greece. One hundred and seventy-six participants followed the COC fasting regime for more than 10 years, and 185 participants did not follow any restrictive dietary patterns. Diet was assessed using a 114-item food frequency questionnaire. Results: Fasters had a more favourable dietary intake compared to non-fasters, with fasters having a higher consumption of fruit and vegetables (p = 0.009) and a significantly lower consumption of total processed meat (p < 0.001) compared to non-fasters. No significant differences were observed in the consumption of fibre and red meat consumption between the two groups. Conclusions: Following the World Cancer Research Fund Cancer Recommendations, fasters are at a potentially lowering risk of developing colorectal cancer than non-fasters due to their more favourable dietary intake. Furthermore, higher consumption of fruit and vegetables with a lower consumption of total processed meat contributes to lower the risk of metabolic syndrome. Public health strategies based on following the structured COC fasting recommendations might hopefully contribute to the prevention of metabolic syndrome and colorectal cancer.

Dietary Patterns in Adults Following the Christian Orthodox Fasting Regime in Greece.

Objective: The aim of the study was to identify and describe the dietary patterns seen in a carefully selected sample that follows the Christian Orthodox Church (COC) fasting regime in Greece. Methods: A number of 361 individuals from Northern Greece participated in this cross-sectional study. A number of 176 subjects have been fasting according to the COC recommendations since childhood and 185 non-fasters acted as the control group. Dietary data from a validated food frequency questionnaire were used to derive dietary patterns by principal component analysis (PCA). Results: Three distinct dietary patterns were identified in the fasting population, the "COC Fasting," the "Western," and the "Traditional" dietary pattern, whereas in the non-fasting population, two dietary patterns were found the "Western" and the "Traditional." The dietary patterns in the fasting population were associated with healthier lifestyle choices, such as abstaining from alcohol and smoke and reduced red and processed meats consumption. Conclusion: Findings from the study revealed that people who adhere to the COC fasting recommendations since childhood tend to follow this dietary pattern throughout the year. By gaining insights into the energy and nutrient intake of this unique dietary pattern, public health stakeholders could promote healthier eating behaviors to prevent non-communicable chronic diseases, such as obesity and metabolic syndrome.

Fast Eating Is Associated with Increased BMI among High-School Students.

Fast self-reported eating rate (SRER) has been associated with increased adiposity in children and adults. No studies have been conducted among high-school students, and SRER has not been validated vs. objective eating rate (OBER) in such populations. The objectives were to investigate (among high-school student populations) the association between OBER and BMI z-scores (BMIz), the validity of SRER vs. OBER, and potential differences in BMIz between SRER categories. Three studies were conducted. Study 1 included 116 Swedish students (mean ± SD age: 16.5 ± 0.8, 59% females) who were eating school lunch. Food intake and meal duration were objectively recorded, and OBER was calculated. Additionally, students provided SRER. Study 2 included students (n = 50, mean ± SD age: 16.7 ± 0.6, 58% females) from Study 1 who ate another objectively recorded school lunch. Study 3 included 1832 high-school students (mean ± SD age: 15.8 ± 0.9, 51% females) from Sweden (n = 748) and Greece (n = 1084) who provided SRER. In Study 1, students with BMIz ≥ 0 had faster OBER vs. students with BMIz < 0 (mean difference: +7.7 g/min or +27%, p = 0.012), while students with fast SRER had higher OBER vs. students with slow SRER (mean difference: +13.7 g/min or +56%, p = 0.001). However, there was "minimal" agreement between SRER and OBER categories (κ = 0.31, p < 0.001). In Study 2, OBER during lunch 1 had a "large" correlation with OBER during lunch 2 (r = 0.75, p < 0.001). In Study 3, fast SRER students had higher BMIz vs. slow SRER students (mean difference: 0.37, p < 0.001). Similar observations were found among both Swedish and Greek students. For the first time in high-school students, we confirm the association between fast eating and increased adiposity. Our validation analysis suggests that SRER could be used as a proxy for OBER in studies with large sample sizes on a group level. With smaller samples, OBER should be used instead. To assess eating rate on an individual level, OBER can be used while SRER should be avoided.

BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment.

Obesity is a complex disease and its prevalence depends on multiple factors related to the local socioeconomic, cultural and urban context of individuals. Many obesity prevention strategies and policies, however, are horizontal measures that do not depend on context-specific evidence. In this paper we present an overview of BigO (http://bigoprogram.eu), a system designed to collect objective behavioral data from children and adolescent populations as well as their environment in order to support public health authorities in formulating effective, context-specific policies and interventions addressing childhood obesity. We present an overview of the data acquisition, indicator extraction, data exploration and analysis components of the BigO system, as well as an account of its preliminary pilot application in 33 schools and 2 clinics in four European countries, involving over 4,200 participants.

The Nutrition Health Alliance (NutriHeAl) Study: A Randomized, Controlled, Nutritional Intervention Based on Mediterranean Diet in Greek Municipalities.

Objective: The aim of this study was to evaluate the effects of Mediterranean diet on weight loss in a large population in a municipality setting.Methods: A 6-month nutritional intervention was implemented in 50 randomly selected municipalities in Greece. In each municipality, approximately 180 overweight or obese patients were recruited and randomly assigned to an intervention group (n = 4500) or to a control group (n = 4500); 1816 and 2210 patients, respectively, completed the study. At baseline, the intervention group attended a 20-minute session where they received recommendations to follow a personalized, slightly hypocaloric, Mediterranean-type diet. The diet was adjusted every 2 weeks. The control group was provided with a leaflet on healthy nutrition and Mediterranean diet. Adherence to Mediterranean diet was evaluated with the Mediterranean diet score (MedDietScore).Results: Subjects in the intervention group were less frequently males and current smokers, had higher body mass index, and followed a healthier diet at baseline than subjects in the control group. In the intervention group, weight, waist circumference, and body fat percentage decreased. In the control group, weight and waist circumference increased. In the intervention group, 48.8% of subjects lost > 5% of body weight compared with 4.2% in the control group (p < 0.001). The MedDietScore increased in the intervention group and did not change in the control group. Independent predictors of loss > 5% of body weight were the decrease in intake of full-fat dairy products and alcohol and the increase in intake of vegetables, in MedDietScore, in walking and in consuming breakfast.Conclusions: Lifestyle change programs focusing on the adoption of Mediterranean diet with frequent monitoring can be implemented successfully in everyday clinical practice. However, retention rates in such programs need to be improved.

Prevalence of Severe Obesity among Primary School Children in 21 European Countries.

BACKGROUND: The World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was established more than 10 years ago to estimate prevalence and monitor changes in overweight and obesity in children aged 6-9 years. Since then, there have been five rounds of data collection in more than 40 countries involving more than half a million children. To date, no comparative studies with data on severe childhood obesity from European countries have been published. OBJECTIVES: The aim of this work was to present the prevalence of severe obesity in school-aged children from 21 countries participating in COSI. METHOD: The data are from cross-sectional studies in 21 European WHO member states that took part in the first three COSI rounds of data collection (2007/2008, 2009/2010, 2012/2013). School-aged children were measured using standardized instruments and methodology. Children were classified as severely obese using the definitions provided by WHO and the International Obesity Task Force (IOTF). Analyses overtime, by child's age and mother's educational level, were performed in a select group of countries. RESULTS: A total of 636,933 children were included in the analysis (323,648 boys and 313,285 girls). The prevalence of severe obesity varied greatly among countries, with higher values in Southern Europe. According to the WHO definition, severe obesity ranged from 1.0% in Swedish and Moldovan children (95% CI 0.7-1.3 and 0.7-1.5, respectively) to 5.5% (95% CI 4.9-6.1) in Maltese children. The prevalence was generally higher among boys compared to girls. The IOTF cut-offs lead to lower estimates, but confirm the differences among countries, and were more similar for both boys and girls. In many countries 1 in 4 obese children were severely obese. Applying the estimates of prevalence based on the WHO definition to the whole population of children aged 6-9 years in each country, around 398,000 children would be expected to be severely obese in the 21 European countries. The trend between 2007 and 2013 and the analysis by child's age did not show a clear pattern. Severe obesity was more common among children whose mother's educational level was lower. CONCLUSIONS: Severe obesity is a serious public health issue which affects a large number of children in Europe. Because of the impact on educational, health, social care, and economic systems, obesity needs to be addressed via a range of approaches from early prevention of overweight and obesity to treatment of those who need it.

Nutritional Routine of Tae Kwon Do Athletes Prior to Competition: What Is the Impact of Weight Control Practices?

OBJECTIVE: The purpose of the present study was to investigate and assess the common dietary and weight management strategies of Tae Kwon Do (TKD) athletes prior to national competitions, as well as to examine the relationships between these strategies and body weight reduction and sensation of physical condition. METHODS: Sixty (n = 60) TKD athletes, 23 women (19.4 ± 2.9 years) and 37 men (20.4 ± 3.6 years), with at least 12.1 ± 3.1 years of experience, participated in the present study. The athletes recorded their dietary intake and physical activity for 3 training days and on a competition day. Bioelectrical impedance was used for body composition estimation. RESULTS: Male athletes consumed 1918 ± 685 kcal/24 hours and 1974 ± 669 kcal/24 hours on training and competition days, respectively, and women 1814 ± 446 kcal/24 hours and 1700 ± 439 kcal/24 hours. TKD athletes had significant negative energy balance (48.6% ± 17.8% to 60.3% ± 26.9%; p < 0.05), with the majority of macro- and micronutritional elements being lower than the recommended values, with significant differences between them, as well as within groups, between weekdays and weekend days (p < 0.05). Females lost most of their weight 2 weeks before the games (3.50 ± 1.00 kg), and males lost most of their weight 3 weeks before (3.16 ± 2.48 kg). The majority of TKD athletes were guided by their coaches for weight management strategies. No significant correlations were found between any body composition variable, weight loss, and any nutritional intake at any time point (p > 0.05). CONCLUSIONS: These data suggest that the methods of TKD athletes for rapid weight loss are guided by unspecialized professionals, leading to significant malnutrition, because certain deficiencies in both macro- and micronutrient content are present, with no guaranteed specific reduction of their body mass.

Prevalence and geographic variation of abdominal obesity in 7- and 9-year-old children in Greece; World Health Organization Childhood Obesity Surveillance Initiative 2010.

BACKGROUND: In children, abdominal obesity is a better predictor of the presence of cardiovascular risk factors than body mass index (BMI)-defined obesity. We aimed to evaluate the prevalence of abdominal obesity in the Greek pediatric population and to assess the impact of residence on the prevalence of both BMI-defined and abdominal obesity. METHODS: In the context of the Childhood Obesity Surveillance Initiative of the World Health Organization (WHO) Regional Office for Europe, a national representative sample of 7.0-7.9 and 9.0-9.9-year-old children was evaluated (n = 2,531 and 2,700, respectively). Overweight and obesity according to BMI were estimated using both the WHO and International Obesity Task Force cut-off points. Abdominal obesity was defined as waist circumference/height ratio >0.5. RESULTS: The prevalence of abdominal obesity did not differ between 7-year-old boys and girls (25.2 and 25.3%, respectively; p = NS). Among 9-year-old children, abdominal obesity was more prevalent in boys than in girls (33.2 and 28.2%, respectively; p = 0.005). Among normal weight and overweight children, the prevalence of abdominal obesity was 1.6-6.8 and 21.8-49.1%, respectively. The prevalence of abdominal and BMI-defined obesity did not differ between children living in the mainland, in Crete and in other islands except in 7-year-old girls, where the prevalence of BMI-defined obesity was highest in those living in Crete, intermediate in those living in other islands and lowest in those living in the mainland. In 9-year-old boys and in 7- and 9-year-old girls, the prevalence of abdominal obesity was highest in children living in Athens and lowest in children living in Thessaloniki, whereas children living in other cities and in villages showed intermediate rates. The prevalence of abdominal obesity in 7-year-old boys and the prevalence of BMI-defined obesity did not differ between children living in cities and villages. CONCLUSIONS: The prevalence of pediatric abdominal obesity in Greece is among the highest worldwide. Boys and children living in the capital are at higher risk for becoming obese. Given that abdominal obesity is more prevalent than BMI-defined obesity and appears to be more sensitive in identifying cardiovascular risk, measurement of waist circumference might have to be incorporated in the screening for childhood obesity.

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.

SENHANCE: A Semantic Web framework for integrating social and hardware sensors in e-Health.

Self-reported data are very important in Healthcare, especially when combined with data from sensors. Social Networking Sites, such as Facebook, are a promising source of not only self-reported data but also social data, which are otherwise difficult to obtain. Due to their unstructured nature, providing information that is meaningful to health professionals from this source is a daunting task. To this end, we employ Social Network Applications as Social Sensors that gather structured data and use Semantic Web technologies to fuse them with hardware sensor data, effectively integrating both sources. We show that this combination of social and hardware sensor observations creates a novel space that can be used for a variety of feature-rich e-Health applications. We present the design of our prototype framework, SENHANCE, and our findings from its pilot application in the NutriHeAl project, where a Facebook app is integrated with Fitbit digital pedometers for Lifestyle monitoring.