Search Results (78)

Background: Adequate nutrition is fundamental to the health and performance of young athletes. However, many fail to meet nutritional recommendations. Nutrition education programmes are promising, cost-effective strategies for improving dietary habits. However, research gaps persist, coupled with notable variability amongst the intervention programmes targeting youth athletes. The aim of this study was to assess the nutritional knowledge of Portuguese youth athletes and to evaluate the effectiveness of a nutrition education programme in improving football players’ understanding of a healthy diet. Methods: Participants were recruited from a local football club through public announcement. Male youth football players aged 13 to 18 years, training at least 3 times per week and competing regularly over the past six months, were eligible. The baseline assessment included anthropometric measurements, an assessment of the adherence to the Mediterranean diet using the KIDMED questionnaire, and an assessment of general and sports nutrition knowledge via a structured questionnaire. Following the intervention—comprising three face-to-face educational sessions and two digital infographics—the KIDMED and nutrition knowledge questionnaires were re-administered. Results: A sample of 38 male footballers were eligible for this study. Most participants exhibited a healthy body weight, with a corresponding adequate body composition. The mean KIDMED score indicated moderate adherence to the Mediterranean diet with no statistically significant difference between the baseline and post-intervention (6.79 ± 1.52 versus 6.97 ± 2.01, p > 0.05). There was a significant enhancement in overall nutrition knowledge, accompanied by notable improvements in the comprehension of macro- and micronutrient sources and sports nutrition principles. Conclusions: This pilot programme proved effective in enhancing young football players’ knowledge of nutrient sources and sports nutrition. Full article

Background: The gut microbiota is increasingly recognized as a key modulator in obesity management, influencing host energy balance, lipid metabolism, and inflammatory pathways. With obesity prevalence continuing to rise globally, dietary interventions that promote beneficial microbial shifts are essential for enhancing weight loss outcomes and long-term health. Objective: This study investigated the effects of the multicomponent Weight Loss Maintenance 3 Phases Program (WLM3P), which integrates caloric restriction, a high-protein low-carbohydrate diet, time-restricted eating (10h TRE), dietary supplementation (prebiotics and phytochemicals), and digital app-based support on gut microbiota composition compared to a standard low-carbohydrate diet (LCD) in adults with obesity. The analysis focused exclusively on the 6-month weight loss period corresponding to Phases 1 and 2 of the WLM3P intervention. Methods: In this sub-analysis of a randomized controlled trial (ClinicalTrials.gov Identifier: NCT04192357), 58 adults with obesity (BMI 30.0–39.9 kg/m²) were randomized to the WLM3P (n = 29) or LCD (n = 29) groups. Stool samples were collected at baseline and 6 months for 16S rRNA sequencing. Alpha and beta diversity were assessed, and genus-level differential abundance was determined using EdgeR and LEfSe. Associations between microbial taxa and clinical outcomes were evaluated using regression models. Results: After 6-month, the WLM3P group showed a significant increase in alpha diversity (p = 0.03) and a significant change in beta diversity (p < 0.01), while no significant changes were observed in the LCD group. Differential abundance analysis revealed specific microbial signatures in WLM3P participants, including increased levels of Faecalibacterium. Notably, higher Faecalibacterium abundance was associated with greater reductions in fat mass (kg, %) and visceral adiposity (cm²) in the WLM3P group compared to LCD (p < 0.01). Conclusions: These findings suggest a potential microbiota-mediated mechanism in weight loss, where Faecalibacterium may enhance fat reduction effectiveness in the context of the WLM3P intervention. Full article

There is a confirmed and ongoing need to encourage adherence to healthy dietary patterns in the general population in western societies, given their recognized positive impact in preventing non-communicable diseases (NCDs). A potentially very effective solution is the use of digital tools such as apps and web apps, which can reach a large number of people quickly. Still, to be effective, it is necessary to better understand how participant engagement in these interventions works, to identify the motivations that may lead them to drop out, and to evaluate the effectiveness of these interventions. In our study, an innovative web app designed to encourage adherence to the Mediterranean diet (EATMED) was tested in an intervention study, evaluating adherence to the Mediterranean diet before and after the use of the web app in a cohort of people, compared to a control group, using the MEDI-lite questionnaire. The Health and Taste Attitude Scale questionnaire was also administered to all participants to assess interest in healthy foods and diets, as well as attitudes toward food. The study showed that the score of the Food as Reward subscale of the HTAS had a significant effect on dropout from the intervention study, and that the use of the app among participants who remained resulted in a two-point increase in adherence to the Mediterranean diet, according to the MEDI-lite questionnaire. These results indicate the effectiveness of the EATMED tool and provide useful insights into how to understand and mitigate dropout in digital nutrition interventions. Full article

Background: The escalating prevalence of obesity underscores the urgent need for effective and scalable interventions. Global Positioning System (GPS)-enabled technologies have emerged as promising strategies to promote physical activity (PA) and address obesity. However, the comparative effectiveness of GPS-enabled PA interventions integrated with dietary components versus PA interventions alone remained unclear. This study aimed to systematically evaluate and compare the effectiveness of GPS-enabled PA interventions, with or without dietary strategies, in improving obesity-related outcomes among adults. Methods: A systematic review and meta-analysis was conducted in accordance with PRISMA guidelines. Randomized controlled trials (RCTs) published between January 2000 and April 2025 were retrieved from five databases. Eligible studies included GPS-enabled PA interventions targeting adults (≥18 years old), and reported at least one primary obesity-related outcome. Meta-analyses were performed using random- or fixed-effects models, depending on heterogeneity levels, and subgroup analyses explored effect modifiers. Results: Nine studies (involving 1363 participants, 424 males and 939 females, aged from 34.5–64.8) were included. GPS-enabled PA interventions significantly reduced body weight (Hedges’ g = −0.241, 95% CI: −0.356 to −0.127, I² = 6.5%, Q = 7.49, p = 0.380) and body fat percentage (BFP) (Hedges’ g = −0.412, 95% CI: −0.804 to −0.020, I² = 76.0%, Q = 16.66, p = 0.002). Subgroup analyses revealed that interventions involving PA alone produced a moderate effect on weight reduction (Hedges’ g = −0.328; 95% CI: −0.616 to −0.039), whereas those combining PA with dietary strategies showed a slightly smaller yet significant effect (Hedges’ g = −0.208; 95% CI: −0.372 to −0.044). Short-term interventions (≤3 months) demonstrated greater effects on weight reduction. Sensitivity and bias assessments supported the robustness of short-term outcomes. Conclusions: GPS-enabled PA interventions were effective for promoting short-term reductions in body weight and BFP. Notably, the addition of dietary components did not consistently provide greater benefits compared to PA interventions alone. These findings highlight the utility of geospatial technology in enhancing behavioral interventions and support the development of scalable digital health strategies aligned with public health priorities such as “Healthy China 2030”. Full article

Introduction: Goal setting is an effective strategy in altering fitness and dietary behaviours. The goal attainment scale (GAS) is a patient-reported outcome measure that can be used to quantify goal achievement. The GAS has not been extensively assessed in lifestyle intervention trials. This study aimed to describe the goal setting process and assess the impact of a digital exercise and diet service and self-efficacy on goal attainment in people with chronic disease and at increased cardiometabolic risk. Methods: This study presents a single-centre, 26-week, randomised controlled trial (RCT) comparing standard care to digital health technologies (text messages, nutrition/exercise app, video consultations with dietitian and/or exercise physiologist). The comparator group was offered dietitian review (per standard care), and both groups received a wearable activity monitor. Individualised goal setting was facilitated prior to randomisation. Goal importance, performance measures, and self-efficacy were determined by participants. Goal outcome and ‘Change in GAS’ scores, reflecting the difference between baseline and follow-up performance, were calculated using validated formulae. Results: Goal setting was completed and reviewed by 66 participants, with a median age of 51 years and 56% being male. The most common goals related to weight loss (46%), fitness (29%), and diet (15%). Most participants (62%) reported improvements in their goals, with most improvements in dietary (71%), fitness (52%), and weight loss (39%) goals. There was no significant difference in goal outcomes between intervention and comparator groups (p = 0.99). There was, however, a significant correlation between nutrition self-efficacy and dietary goal achievement (p = 0.04). Conclusions: The novelty and feasibility of goal setting and attainment were demonstrated in this RCT of lifestyle interventions in people with chronic disease. Though the intervention did not significantly improve goal attainment, most participants reported improvements in their lifestyle goals. There were greater improvements in dietary goals than in fitness or weight loss goals. Participant-led goal setting with GAS and participant self-efficacy has potentially important applications in future lifestyle modification research and clinical implementation endeavours. Full article

Food computing refers to the integration of digital technologies, such as artificial intelligence (AI), the Internet of Things (IoT), and data-driven approaches, to address various challenges in the food sector. It encompasses a wide range of technologies that improve the efficiency, safety, and sustainability of food systems, from production to consumption. It represents a transformative approach to addressing challenges in the food sector by integrating AI, the IoT, and data-driven methodologies. Unlike traditional food systems, which primarily focus on production and safety, food computing leverages AI for intelligent decision making and the IoT for real-time monitoring, enabling significant advancements in areas such as supply chain optimization, food safety, and personalized nutrition. This review highlights AI applications, including computer vision for food recognition and quality assessment, Natural Language Processing for recipe analysis, and predictive modeling for dietary recommendations. Simultaneously, the IoT enhances transparency and efficiency through real-time monitoring, data collection, and device connectivity. The convergence of these technologies relies on diverse data sources, such as images, nutritional databases, and user-generated logs, which are critical to enabling traceability and tailored solutions. Despite its potential, food computing faces challenges, including data heterogeneity, privacy concerns, scalability issues, and regulatory constraints. To address these, this paper explores solutions like federated learning for secure on-device data processing and blockchain for transparent traceability. Emerging trends, such as edge AI for real-time analytics and sustainable practices powered by AI–IoT integration, are also discussed. This review offers actionable insights to advance the food sector through innovative and ethical technological frameworks. Full article

Aim: Mobile health (mHealth) applications have been reported to be effective in improving glycaemic control and cardiometabolic health, but mainly as part of shorter-term intervention studies. The aim of this study is to examine the effect of the ongoing Defeat Diabetes mHealth low-carbohydrate diet (LCD) intervention on clinical markers and cardiometabolic risk after 6 months of intervention. Methods: Data were collected via primary care physicians as part of routine T2D monitoring. These included HbA1c (primary outcome), blood pressure, blood lipids, and markers of kidney and liver function. Anthropometrics, as well as changes in the prescription of diabetes, hypertension, and dyslipidaemia medication, were also recorded. Calculated variables, total cholesterol to HDL-c, triglyceride to HDL-c, and waist to height ratios, were analysed to examine changes in cardiometabolic risk profile. Three-day food records were used to assess dietary intake and intervention adherence. Univariate regression models examined changes from baseline to 6 months. Results: Ninety-four participants remained in the study out of the ninety-nine at baseline (mean age 59 ± 11 years, 55 females). After 6 months of intervention, there were significant reductions in HbA1c by −1.0% (95% CI: −1.3 to −0.6), as well as in the liver enzymes ALT (−9.3 U/L 95% CI −16.3 to −2.4) and GGT (−18.8 U/L 95% CI: −31.4 to −6.3) across the cohort. In addition, there was a significant reduction in cardiometabolic risk, as measured by the calculated variables and a decrease in waist circumference (−4.6 cm 95% CI: −8.9 to −0.2). Conclusions: People with T2D receiving LCD education and resources through the Defeat Diabetes mHealth app (version 3.3.8) improved their glycaemic control after 6 months of intervention. Cardiometabolic risk profile and liver function also showed significant improvement. These findings indicate that the use of an LCD digital app is a valuable adjunct in the management of T2D. Full article

Dental caries is one of the most prevalent chronic conditions among children globally. Salivary pH monitoring, an essential diagnostic parameter, plays a critical role in understanding caries risk and oral health. This scoping review aims to evaluate the application of digital salivary pH meters in pediatric dentistry, particularly in caries diagnosis and prevention, while exploring the potential integration of artificial intelligence (AI) in this domain. Methods: A literature search was conducted across the PubMed, Web of Science, and Scopus databases for studies published between 2014 and 2024. The inclusion criteria focused on clinical studies involving children aged 1 to 18 years and the use of digital salivary pH meters. Studies that utilized AI in conjunction with salivary pH monitoring were also reviewed. Data were extracted and analyzed to assess the effectiveness of pH meters in caries detection and their role in broader oral health applications. Results: Out of 549 articles screened, 11 met the inclusion criteria. The review highlighted the utility of digital pH meters for assessing caries risk, monitoring dietary impacts, and evaluating the effectiveness of preventive treatments. However, none of the studies combined salivary pH monitoring with AI. Emerging technologies, such as smartphone-based pH sensors, have demonstrated promising applications for real-time, non-invasive diagnostics. Conclusions: Digital salivary pH meters provide precise and reproducible measurements, significantly enhancing caries risk assessment and preventive strategies in pediatric dentistry. While AI integration remains unexplored in this context, its potential to refine risk prediction models and personalize treatments underscores the need for future research in this area. These advancements could improve caries prevention and management, enhancing pediatric oral health outcomes. Full article

Background/Objectives: For low- and middle- income country (LMIC) settings, a global nutrition transition is rapidly emerging as diets shift, resulting in a dual burden of malnutrition. High quality dietary intake data for these populations is essential to understand dietary patterns contributing to these nutrition issues. New technology is emerging to address dietary assessment challenges; however, it is unknown how researchers conducting studies with LMIC populations or under-served groups in high-income countries adopt technology-assisted methods. This study aimed to describe the features of the dietary assessment methods used in these settings. Methods: A cross-sectional survey of members of an online international nutrition network was conducted. Participants completed an online questionnaire collecting data on dietary assessment method use, populations studied, and factors influencing method selection. Results: Of 45 participants (ranging from 27 to 60 years) who completed the questionnaire, 67% conducted dietary assessments in children aged 1–5 years, 60% in pregnant women and 60% in female adults. Dietary assessment was conducted predominantly in countries classified as LMIC (n = 50), compared to the assessment of vulnerable groups in high-income countries (n = 3). All participants reported using 24-h recalls, 80% used food frequency questionnaires, while 22% used image-based and 22% used image-assisted methods. Predominant modes were interviewer-administered, paper questionnaires and manual analysis; however, digital survey platforms were used by nearly half of participants. Conclusions: Although traditional dietary assessment methods continue to dominate in LMICs, evidence of technological-assisted method use is emerging. Technology-assisted methods, tailored to address challenges in collecting quality dietary intake data in LMICs, are becoming more accessible. Full article

Background: Diet significantly impacts the onset and progression of inflammatory bowel disease (IBD), and diet offers unique opportunities for treatment and preventative purposes. However, despite growing interest, no diet has been conclusively associated with improved long-term clinical and endoscopic outcomes in IBD, and evidence-based dietary guidelines for IBD remain scarce. This narrative review critically examines dietary assessment methods tailored to the unique needs of IBD, highlighting opportunities for precision and inclusivity. Methods: We conducted a comprehensive literature review using search terms related to diet, diet assessment, nutrition, food, sex, gender, equity, and IBD. Results: The identified dietary assessment tools evaluated nutritional quality, dietary patterns, food processing, lifestyle interactions, inflammatory potential, and effects of specific nutrients. Advanced methods, including biomarkers, multi-omics approaches, and digital tools, were highlighted as being complementary to traditional approaches, offering enhanced precision and real-time monitoring. Women remain under-represented in dietary research but face unique nutritional needs due to hormonal cycles, pregnancy, and higher malnutrition risks in IBD. Discussion: Traditional diet assessment methods remain valuable but are often limited by misreporting biases. Advanced approaches may provide greater precision, enabling real-time monitoring and personalised dietary tracking. Incorporating considerations of sex, gender, age, ethnicity, socioeconomic, and sustainability enhances the relevance and applicability of these methods. Addressing these multifaceted aspects of dietary assessment in IBD can facilitate robust interventional trials. Conclusions: Diet assessment tools are essential for developing personalised dietary interventions in IBD, informing evidence-based guidelines, and improving health outcomes and quality of life in IBD. Full article

Background: Young women spend 50 min daily on social media (SM); thus, SM platforms are promising for health interventions. This study tested the feasibility and preliminary efficacy of the co-designed SM intervention the Daily Health Coach (DHC). The DHC is a 3-month healthy lifestyles intervention programme, targeting eating, physical activity, and social wellbeing behaviours in women aged 18–24, via the dissemination of health and nutrition content on social media platform Instagram. Methods: The programme was tested using an assessor-blinded, two-arm pilot randomised controlled trial with 46 participants over 12 weeks. Engagement was assessed via SM metrics; acceptability via post-programme questionnaires; and feasibility included retention, randomisation, recruitment, and data collection. Secondary outcomes—dietary quality, physical activity, social influence, disordered eating behaviours, body image, and digital health literacy—were assessed using validated surveys. Analyses included t-tests, chi-squared tests, and linear mixed models. The treatment effects were estimated by testing mean score differences from baseline to 3 months for intention-to-treat populations. Results: The DHC scored 83.6% for programme satisfaction. Over time, a significant decrease in body image disturbance was observed (p = 0.013). A significant group-by-time interaction for digital health literacy (p = 0.002) indicated increased ability to discern evidence-based nutrition information (p = 0.006). The waitlist control group showed increased social influence compared to the intervention group (p = 0.034). No other significant changes were observed. Conclusion: The DHC is a feasible and acceptable method for disseminating nutrition information. Larger studies are needed to determine efficacy. Full article

Background/Objectives: Baobab (Adansonia digitate L.) is an underutilized species and edible parts (fruits, leaves and seeds) contribute to food security and human health in tropical areas. Although the fruits have attracted greater research interest and have recently been approved for consumption in EU countries, the leaves are traditionally consumed but they have yet to be studied from an interventional perspective. The aim of this study was to propose a protocol for a dietary intervention using baobab leaves (BLs) to achieve the recommended reference values for proteins and minerals (K, Ca, Mg, Na, Fe, Mn) for different target groups of the Sudanese population. Methods: Dry matter, crude fat, protein and ash content, mineral content (Na, Mg, K, Ca, Fe, Mn), total phenolic, and flavonoid compounds were determined in BLs from six different areas. To assess the health and nutrition status in Sudan, time-series data (2013–2023) from the DataBank Health Nutrition and Population Statistics database were used. The reference values for nutrients recommended by the European Food Safety Authority were used to estimate the amount of baobab leaf intake (BLI, g/day). Results: For each nutrient, the study area with the lowest amount of BLs to be consumed is recommended. Leaves from the area of El Gari (BN3) 18.312 g/day and 30.712 g/day are recommended for K and Ca, which are particularly beneficial for children aged 1–3 years and lactating women. Leaves from Kor Tagat (KR1) are suitable for sodium intake, requiring approximately 13–23 g/day across all age groups. Leaves from Kazgil (KR2) (46–81 g/day), (35–66 g/day), (0.48–0.68 g/day), and (4–6 g/day) are optimal for fulfilling the daily requirements of magnesium, iron, manganese, and protein in this order. Conclusions: The systematic inclusion of BLs in the diet can positively support the nutritional status of various demographics. Moreover, the findings of this study demonstrated the foundation for public health and nutritional policy-makers on how they will tackle malnutrition and food insecurity worldwide by incorporating naturally available diets and nutritious alternatives. Recommendation: Further research should focus on assessing the nutritional composition factors that could affect the absorption of nutrients such as phytates and oxalates and investigating the in vitro bioavailability of the elements. Full article

Background/Objectives: The Dietary Guidelines for Americans recommend consuming less than 10% of total calories from added sugars. Low-calorie sweeteners, sugar alcohols, and natural low-calorie sweeteners are used to reduce added sugar intake, but there are concerns about their long-term health impacts, especially for children. This paper describes the food and beverage television advertising landscape as it pertains to sweeteners. Methods: This cross-sectional study uses television ratings data licensed from The Nielsen Company for the United States in 2022. Nutrition facts panels and ingredient lists were collected for food and beverage product advertisements seen on television and assessed for the presence of added sugars, low-calorie sweeteners, sugar alcohols, and natural low-calorie sweeteners (forms of stevia and monk fruit), as well as whether products were high in added sugars based on federal Interagency Working Group guidelines for advertising to children. Results: Of the sweeteners examined, added sugars were most commonly found in food and beverage product advertisements seen on television (60–68% of advertisements seen across age groups), followed by low-calorie sweeteners (6–10%), sugar alcohols (2–4%), and natural low-calorie sweeteners (2%). About one-third (32–33%) of advertisements seen by 2–5- and 6–11-year-olds were high in added sugars, similar to the percentage seen by 12–17- and 18+-year-olds (34–35%). Advertisements seen for cereal (86–95%) and sweets (92–93%) were most likely to have added sugars, while those for sweets (89–90%) were most likely to be high in added sugars. Conclusions: Sweeteners are common in food and beverage product advertisements seen on television, including alternatives to added sugars for which there are concerns about long-term impacts on health. Continued monitoring and additional research on other advertising media platforms used by food and beverage companies (e.g., digital media) is needed. Full article

Background/Objectives: Populations in Mediterranean countries are abandoning the traditional Mediterranean diet (MD) and lifestyle, shifting towards unhealthier habits due to profound cultural and socioeconomic changes. The SWITCHtoHEALTHY project aims to demonstrate the effectiveness of a multi-component nutritional intervention to improve the adherence of families to the MD in three Mediterranean countries, thus prompting a dietary behavior change. Methods: A parallel, randomized, single-blinded, and controlled multicentric nutritional intervention study will be conducted over 3 months in 480 families with children and adolescents aged 3–17 years from Spain, Morocco, and Turkey. The multi-component intervention will combine digital interactive tools, hands-on educational materials, and easy-to-eat healthy snacks developed for this study. Through the developed SWITCHtoHEALTHY app, families will receive personalized weekly meal plans, which also consider what children eat at school. The engagement of all family members will be prompted by using a life simulation game. In addition, a set of activities and educational materials for adolescents based on a learning-through-playing approach will be codesigned. Innovative and sustainable plant-based snacks will be developed and introduced into the children’s dietary plan as healthy alternatives for between meals. By using a full-factorial design, families will be randomized into eight groups (one control and seven interventions) to test the independent and combined effects of each component (application and/or educational materials and/or snacks). The impact of the intervention on diet quality, economy, and the environment, as well as on classical anthropometric parameters and vital signs, will be assessed in three different visits. The COM-B behavioral model will be used to assess essential factors driving the behavior change. The main outcome will be adherence to the MD assessed through MEDAS in adults and KIDMED in children and adolescents. Conclusions: SWITCHtoHEALTHY will provide new insights into the use of sustained models for inducing dietary and lifestyle behavior changes in the family setting. It will facilitate generating, boosting, and maintaining the switch to a healthier MD dietary pattern across the Mediterranean area. Registered Trial, National Institutes of Health, ClinicalTrials.gov (NCT06057324). Full article

The widespread use of social media among children has raised concerns about its impact on their dietary habits and health. This systematic review investigates the negative effects of social media on children’s diets to inform evidence-based interventions and policies. A search of peer-reviewed studies from 2020 to 2024 was conducted using PubMed, Web of Science, and Scopus. Studies involving children aged 5–18 and examining social media’s influence on diet were included. Two independent reviewers screened the studies, and data extraction and quality assessment were done using standardized methods. Of 945 identified studies, 25 met the inclusion criteria. The key themes included (1) exposure to unhealthy food advertisements, (2) peer influence promoting energy-dense, nutrient-poor foods, (3) distorted body image perceptions leading to unhealthy eating, and (4) reduced mealtime quality due to social media distractions. Stronger associations were observed for marketing exposure and peer influence on food choices. The review highlights social media’s negative effects on children’s diets, emphasizing the need for interventions, stricter food marketing regulations, and educational programs to enhance media literacy. Future research should explore the long-term impacts and protective factors to guide policies for creating healthier digital environments for children. Full article