Breakfast plays an important role in health because it has been associated with overall health, which includes a high daily nutrient intake and a low risk of chronic diseases. For this reason, we investigated the associations between breakfast consumption and daily energy, macronutrients, and food and beverage consumption. We systematically searched peer-reviewed articles in three datasets (Pubmed, Scopus, and Cochrane). Two independent reviewers evaluated 3188 studies against the inclusion criteria using the Appraisal tool for Cross-Sectional Studies (AXIS) critical appraisal and Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodologies. The meta-analysis was performed by comparing results based on type of breakfast consumed (ready to eat cereal breakfasts or other types of breakfasts). Ultimately, 38 studies were included in the review and 7 of them in the energy and macronutrients intake meta-analysis. In the Systematic Review, breakfast consumers had higher energy intake (EI), fibre intake, and higher consumption of fruits and vegetables and lower consumption of soft drinks than breakfast skippers. In the Meta-Analysis, breakfast consumers had a higher carbohydrates intake (MD, −8.21; 95%CI: −11.37, −5.05) and fibre intake (MD, −8.43; 95%CI: −12.63, −4.23) than breakfast skippers. However, breakfast consumers had a lower fat intake (MD, 4.59; 95%CI: 2.04, 7.15). Our review suggests that breakfast consumption is associated with better macronutrient intake and healthier food and beverage consumption.

Breakfast is an important source of key nutrients in the diet. For this reason, the aim of this review was to investigate the associations between breakfast consumption and daily micronutrients intake in both children and adolescents (aged 2–18 years). A peer-reviewed systematic search was conducted in three datasets (PubMed, Scopus and Cochrane Library) in February 2020 in English and Spanish. Two independent reviewers evaluated 3188 studies considering the AXIS critical appraisal and PRISMA methodologies. Meta-analysis was carried out comparing results according to type of breakfast consumed (Ready to eat cereals (RTEC) breakfast or other types of breakfast) and breakfast skipping. Thirty-three articles were included in the systematic review (SR) and 7 in the meta-analysis. In the SR, we observed that those children and adolescents who usually consume RTEC at breakfast had a higher consumption of B-vitamins than those not consuming RTEC at breakfast. Breakfast consumers had a higher mineral intake (iron, calcium, magnesium, potassium, zinc, and iodine) than breakfast skippers. In the Meta-Analysis, RTEC consumers had significantly higher vitamin C intake than breakfast skippers (SMD, −4.12; 95% confidence intervals (CI): −5.09, −3.16). Furthermore, those children who usually consume breakfast had significantly higher daily intake of calcium than breakfast skippers (SMD, −7.03; 95%CI: −9.02, −5.04). Our review proposes that breakfast consumption seems to be associated with higher daily micronutrients intake than breakfast skippers.

Parental health is associated with children’s health and lifestyles. Thus, the aim of the present study was to assess lifestyle behaviours of children of parents with insulin resistance (IR) and at risk of type 2 diabetes. 2117 European families from the Feel4Diabetes-study were identified as being at risk for diabetes with the FINDRISC questionnaire and included in the present study. One parent and one child per family were included. Parental IR was considered when homeostasis model assessment (HOMA) was equal or higher than 2.5. Children’s screen-time, physical activity and diet were assessed and clustered by K-means. Weight and height were measured and children’s body mass index (BMI) was calculated. For children, a Healthy Diet Score (HDS) was calculated. Linear regression and multilevel logistic regression analyses were performed to assess the associations between parental IR and children’s lifestyle behaviours in 2021. Children of parents with IR had higher BMI (p < 0.001) and spent more screen time (p = 0.014) than those of non-IR parents. Children of parents with IR had a lower value in the breakfast and vegetable components of the HDS (p = 0.008 and p = 0.05). Four lifestyle clusters were found. Children of IR parents had higher odds of being in a non-healthy cluster (OR: 1.19; 95%CI: 1.001–1.437).Conclusion: Having an IR parent was associated with a high screen time and an increased probability of having an unhealthy lifestyle pattern in children. These data point out that children’s lifestyles should be assessed in families with IR parents to provide tailored interventions. What is Known:• Children with diabetic or insulin-resistant parents could also develop this condition.• Unhealthy lifestyles are directly related with insulin resistance even in children. What is New:• Children from parents with insulin resistance have higher chances of unhealthy lifestyles.• A higher BMI was found for those children with an insulin-resistant parent.

Obesity in children and adolescents is a public health problem and diet can play a major role in this condition. We aimed to identify sex-specific dietary patterns (DP) and to evaluate the association with overweight/obesity in European adolescents. We conducted a cross-sectional analysis with 2327 adolescents aged between 12.5 to 17.5 years from a multicenter study across Europe. The body mass index was categorized in “normal weight” and “overweight/obesity”. Two non-consecutive 24-h dietary recalls were collected with a computerized self-reported software. Principal component factor analysis was used to identify DP. Mixed-effect logistic regression models were used to evaluate the association between the sex-specific DP and overweight/obesity outcome. As a result, we found three DP in boys (snacking and bread, Mediterranean diet, and breakfast) and four DP in girls (convenience, plant-based and eggs, Western, and breakfast). The association between DP and overweight/obesity highlights that those adolescents with higher adherence to the breakfast DP had lower odds for overweight/obesity, even after the inclusion of covariables in the adjustments. In European adolescents, the breakfast DP positively characterized by breakfast cereals, fruit, milk, and dairy and negatively characterized by sugar-sweetened beverages in boys and negatively characterized by cereals (pasta, rice, and others) in girls, was inversely associated with overweight/obesity.

Objective: The aim of this study was to identify dietary patterns (DPs) in European adolescents and to examine the association between perceptions of healthy eating and the obtained DPs. Method: A multinational cross-sectional study was carried out in adolescents aged 12.5 to 17.5 years and 2,027 (44.9% males) were considered for analysis. A self-reported questionnaire with information on food choices and preferences, including perceptions of healthy eating, and two 24-hour dietary recalls were used. Principal component analysis was used to obtain sex-specific DPs, and linear analyses of covariance were used to compare DPs according to perceptions of healthy eating. Results: Three and four DPs for boys and girls were obtained. In boys and girls, there were significant associations between some perceptions about healthy food and the Breakfast-DP (p < 0.05). In boys, Breakfast-DP and Healthy Beverage-DP were associated with the perception of the own diet as healthy (p < 0.05). Healthy Beverage-DP was associated with those disliking fruits and vegetables (p < 0.05). Girls considering the own diet as healthy were associated with Mediterranean-DP, Breakfast-DP, and Unhealthy Beverage and Meat-DP (p < 0.05). The perception of snacking as a necessary part of a healthy diet was associated with Breakfast-DP in both genders (p < 0.05). Conclusions: In European adolescents, perceptions of healthy eating were mainly associated with a DP characterized by foods consumed at breakfast. Future studies should further explore these findings in order to implement health promotion programs to improve healthy eating habits in adolescents.

To effectively tackle obesity, it is necessary to identify all specific socioeconomic factors which contribute to its development. We aimed to highlight the prevalence of adult overweight/obesity in European countries and investigate the association of various socioeconomic factors and their accumulative effect on overweight/obesity status. Cross-sectional data from the Feel4Diabetes study for 24,562 adults residing in low socioeconomic areas were collected, representing Belgium, Finland, Greece, Spain, Bulgaria, and Hungary. Socioeconomic Burden Score (SEBS) was created, accounting for unemployment, financial insecurity, and education ≤ 12 years. Data were analyzed using analysis of variance and logistic regression. In total, 19,063 adults with complete data were included (34.5% overweight and 15.8% obese). The highest overweight/obesity rates occurred in Greece (37.5%/17.8%) and Hungary (35.4%/19.7%). After adjusting for confounders, age of <45 years and female sex were inversely associated with overweight/obesity, while low educational level (≤12 years), unemployment, and financial insecurity were positively associated. The increase in SEBS (clustering of socioeconomic disadvantages) was associated with increased overweight/obesity likelihood. This association of SEBS scores with overweight/obesity was evident for males and females across all examined countries, excluding males in low-income countries (Bulgaria and Hungary), where the highest SEBS score was inversely associated with overweight/obesity. The clustering burden of socioeconomic disadvantages on overweight/obesity was found to be influenced by the countries’ economic state and sex.

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