Search Results (273)

The aim of this study was to develop a scientifically substantiated recipe for the functional food granola using plant-derived ingredients selected for their nutritional value and functional properties. The proposed multi-component granola, comprised of a variety of cereals, fruits, and vegetables local to Kazakhstan, comprises ingredients including oats (Syrgalym variety), corn (Tatti-2012), rice (Barakat), buckwheat (Shortandinskaya 3), pumpkin (Karina), apple (Zailiyskiy), and cranberry (Ben Lear). The research methodology included an analysis of the chemical composition of ingredients, the development and testing of ten granola recipes, and an assessment of their nutritional and sensory value. Optimal formula No. 4 provided the following nutritional values per 100 g: protein—12.4 g; dietary fibre—6.8 g; vitamin C—22.3 mg; potassium—617.4 mg; and iron—4.7 mg. Statistical data processing was performed using the Pearson correlation coefficient and Student’s t-test (p < 0.05). The obtained correlation dependencies allowed the contribution of each component to the nutrient profiles to be determined. Sensory evaluation showed favourable taste and organoleptic characteristics of the recipes using fruit and berry components, especially apples and cranberries. The developed recipe can be recommended for inclusion in the diet of athletes, the elderly, and people with insufficient intake of vitamins and minerals. The results have practical value and contribute to the expansion of the range of healthy food products based on the agricultural potential of Kazakhstan. Prospects for further research include the development of specialised formulas for baby food and people with special dietary needs. Full article

Robust statistical analysis is essential for advancing evidence-based nutrition research, particularly when investigating the complex relationships between dietary exposure and health outcomes. Multiple regression is a widely used analytical technique in nutrition studies due to its ability to control for confounding variables and assess multiple predictors simultaneously. However, the reliability, validity, and generalizability of findings from regression analyses depend heavily on having an appropriate sample size. Despite its importance, many published nutrition studies do not include formal sample size justifications or power calculations, leading to a high risk of Type II errors and reduced interpretability of results. This methodological review examines three commonly used approaches to sample size determination in multiple regression analysis: the rule of thumb, variance explained (R²) method, and beta weights approach. Using a consistent hypothetical example, rather than empirical data, this paper illustrates how sample size recommendations can differ depending on the selected approach, highlighting the advantages, assumptions, and limitations of each. This review is intended as an educational resource to support methodological planning for applied researchers rather than to provide new empirical findings. The aim is to equip nutrition researchers with practical tools to optimize sample size decisions based on their study design, research objectives, and desired power. The rule of thumb offers a simple and conservative starting point, while the R² method ties sample size to anticipated model performance. The beta weights approach allows for more granular planning based on the smallest effect of interest, offering the highest precision but requiring more detailed assumptions. By encouraging more rigorous and transparent sample size planning, this paper contributes to improving the reproducibility and interpretability of quantitative nutrition research. Full article

Background: Nitrogen balance studies have traditionally been used to estimate protein requirements in adults. However, ethical and practical constraints have made new studies increasingly difficult to conduct. This systematic review and meta-analysis aimed to compile and analyze the most comprehensive individual-level dataset to date. Methods: We included 31 studies that reported nitrogen intake and excretion data for healthy adults. Studies were selected based on strict eligibility criteria that required data from at least three intake levels per individual. Nitrogen requirements were estimated using regression analysis. In total, data from 395 individuals were analyzed. We used a random effects model for the meta-analysis. Subgroup comparisons and meta-regression were conducted based on sex, age, climate, and protein source. Results: The overall mean nitrogen requirement was 104.2 mg N/kg/day. No significant differences were found by sex, age group (<60 vs. ≥60 years), climate (temperate vs. tropical), or protein source (animal, plant, or mixed). Subgroup and meta-regression analyses did not reveal consistent moderator effects. Substantial heterogeneity was observed (I² > 90%). Conclusions: This analysis provides the most extensive compilation of individual-level nitrogen balance data to date. While the average nitrogen requirement was consistent with previous estimates, the high heterogeneity limits definitive conclusions. Nonetheless, this dataset provides a valuable foundation for revising protein intake recommendations and guiding future research on human nitrogen metabolism in the absence of new studies. Full article

Exploring food’s rich composition and nutritional information is crucial for understanding and improving people’s dietary preferences and health habits. However, most existing food recommendation models tend to overlook the impact of food choices on health. Moreover, due to the high sparsity of food-related data, most existing methods fail to effectively leverage the multi-dimensional information of food, resulting in poorly learned node embeddings. Considering these factors, we propose a cross-view contrastive heterogeneous-graph learning method for healthy food recommendation (CGHF). Specifically, CGHF constructs feature relation graphs and heterogeneous information connection graphs by integrating user–food interaction data and multi-dimensional information about food. We then design a cross-view contrastive learning task to learn node embeddings from multiple views collaboratively. Additionally, we introduce a meta-path-based local aggregation mechanism to aggregate node information in local subgraphs, thus allowing for the efficient capturing of users’ dietary preferences. Experimental comparisons with various advanced models demonstrate the effectiveness of the proposed model. Full article

A total of 38% of Americans do not meet the Recommended Dietary Allowance (RDA) for calcium including those at risk for osteoporosis. To increase the percentage of patients at risk for osteoporosis who achieve goal calcium RDA intake, a collaborative specialty pharmacy-registered dietitian-nutritionist (RDN) quality improvement program was developed. Patients aged 18 to 90 years old receiving osteoporosis therapy (denosumab, teriparatide, zoledronic acid) or medications that increase bone loss (elagolix, oral prednisone) were provided with a structured assessment and educational intervention. Daily calcium intake included patient self-reported dietary intake plus supplement use. Written and verbal education on increasing dietary intake based on patient preferences was provided with 5 calcium-rich food-source store coupons. Recommendations for supplement selection (citrate vs. carbonate) and/or medication-related problem resolution were provided. Follow-up occurred at 3–6 months. Fifty patients enrolled [94% female, mean age 66.6 years (SD 15.3)] were taking denosumab (36), teriparatide (1), zoledronic acid (1), elagolix (7) and prednisone (5). The mean baseline daily dietary calcium intake was 500 mg (SD 247) with none achieving goal intake with diet alone. Average calcium supplement use in 22 (44%) patients was 686 mg daily (SD 284). At baseline, 17 (34%) met goal daily calcium intake compared to 30 (60%) at post intervention follow-up (p = 0.009). Over half of the store coupons were redeemed. A specialty pharmacy-RDN customized intervention program provides a model for aiding patients to modify calcium intake. Full article

The nutritional and quality characteristics of improved vegetable soybean genotypes were evaluated and compared with those of a grain-type soybean at the R6 (green maturity) and R8 (physiological maturity) stages. Significant variation (p < 0.05) was observed among genotypes for all measured traits. The overall quality parameters increased from the R6 (green maturity) stage to the R8 (physiological maturity) stage. Among the R6-stage genotypes, AVSB2001 recorded the highest contents of protein (15.30 ± 0.57 g/100 g), ash (2.31 ± 0.06 g/100 g), fat (8.05 ± 0.17 g/100 g), and calcium (140.78 ± 0.97 mg/100 g). The genotype Karune exhibited significantly higher levels of total sugars, non-reducing sugars, iron, and magnesium than the other entries. At the R8 stage, Swarna Vasundhara showed the highest protein content (39.23%), while AGS 447 recorded the highest values for fat, total sugars, in vitro protein digestibility, iron, copper, magnesium, and manganese. Notably, in vitro protein digestibility was lower across all genotypes at the R8 stage compared to the R6 stage. These findings suggest that selected vegetable soybean genotypes possess substantial nutritional value and can contribute meaningfully to meeting the recommended dietary allowance (RDA) across different age and occupational groups, underscoring this research’s potential public health impact. Based on stage-specific quality profiles, R6-stage genotypes may be better suited for fresh vegetables, whereas R8-stage genotypes can be utilized similarly to grain-type soybean for processing into products such as dhal, oil, flour, and other value-added foods. Full article

Background/Objectives: Addressing the global syndemic of obesity, undernutrition, and climate change requires a shift toward healthy and sustainable diets. This study examines the feasibility and cost implications of implementing a Healthy and Sustainable Basic Food Basket in Chile that aligns with the EAT–Lancet diet recommendations, through its comparison with the current Basic Food Basket used for the poverty line definition. Methods: The Healthy and Sustainable Basic Food Basket was constructed based on the EAT–Lancet dietary model and was uniquely adapted to reflect the observed consumption patterns of Chile’s lowest income quintile, allowing for a more realistic affordability assessment for vulnerable populations. Food prices from the National Institute of Statistics were analyzed over a 10-year period (2014–2023). Results: This study found that the Healthy and Sustainable Basic Food Basket provides 2001 kcal per day with a balanced macronutrient distribution. However, its average cost was 13.9% higher than the Basic Food Basket, posing a significant economic barrier for low-income populations. The cost gap varied seasonally, peaking in October (21.1% higher) and narrowing in December (4.6% higher). Long-term trends showed increasing costs for both baskets, with the Healthy and Sustainable Basic Food Basket reaching its highest price in 2023, further limiting affordability. Conclusions: These findings highlight the limitations of current poverty measurement frameworks in Chile, which prioritize caloric sufficiency over nutritional quality and sustainability. This suggests a need for policy revisions to incorporate the cost of healthy and sustainable diets into poverty assessments and social protection programs. Key policy recommendations include promoting healthier diets and improved food nutrition, supporting low-carbon foods, regulating local food production and supply systems, and encouraging seasonal, local consumption. This study underscores the need for structural interventions to ensure equitable access to sustainable diets, addressing both public health and environmental concerns. Full article

Sodium consumption is a well-established risk factor for the development of hypertension. Nevertheless, current recommendations for reducing dietary sodium intake are challenging to implement. Consequently, alternative approaches that would reduce the harmful health effects of excessive sodium consumption on blood pressure are highly desirable. The scientific evidence suggests that dietary fibre intake and human intestinal microbiota may affect blood pressure regulation, potentially through interactions with sodium. This narrative review aims to explore the complex interactions between microbiota, fibre, and the fate of sodium in the human body, as well as the implications of these interactions in the prevention and treatment of hypertension. The relevant literature, published up to March 2025, was searched across databases including Google, Google Scholar, PubMed, and Web of Science. A total of 160 most relevant references were included. Gathered evidence suggests that while dietary fibre may reduce sodium uptake into the bloodstream by binding sodium ions and bile salts, microbiota may also contribute to lowering sodium bioavailability thanks to multiple metabolites with anti-inflammatory and intestinal sodium transporter-modulating properties. Despite these promising findings, further work is needed to allow the translation of these insights into effective therapeutic approaches, particularly for salt-sensitive, hypertensive individuals. Full article

Background/Objectives: Canada’s 2019 Food Guide (CFG) encourages the increased consumption of plant-based foods as dietary protein sources. However, the nutritional implications of replacing animal-based proteins with plant-based alternatives in children’s diets remain unclear. This study aimed to examine the association between protein food sources and nutrient intake in Canadian children aged 9–18 years. Methods: We analyzed data from 2324 children from the 2015 Canadian Community Health Survey (CCHS), using the Public-Use Microdata File (PUMF) containing 24 h dietary recalls. Participants were categorized into four groups based on the proportion of protein from plant sources: Group 1 (0–24.9%), Group 2 (25–49.9%), Group 3 (50–74.9%), and Group 4 (75–100%). Nutrient intakes were compared and assessed against the Recommended Dietary Allowances (RDAs) and Adequate Intake (AI). Results: Groups 1 and 3 had less favorable macronutrient profiles than Group 2. A 3:1 animal-to-plant protein ratio (Group 2) aligned most closely with dietary recommendations. Groups 1 and 2 exceeded RDAs for protein, iron, vitamin B12, thiamine, riboflavin, niacin, vitamin B6, and zinc by over 146% (about four SDs above the mean requirement), suggesting a low risk of inadequacy, although saturated fat intake was high. The intakes of vitamin D and folate were below 66% of the RDA, while calcium and magnesium were below 100% in some subgroups, with probabilities of inadequacy of 0.93 and 0.31, respectively. Group 4 (2.71%) was too small for reliable analysis. Conclusions: An approximate 3:1 ratio of animal-to-plant protein sources may represent an optimal balance for supporting nutrient intake and improving macronutrient profiles in the diets of Canadian children. Full article

Introduction: Protein substitutes (PSs) free of phenylalanine (Phe) represent the primary source of proteins and micronutrients in dietary management of classical Phenylketonuria (PKU). Over the last few years, the composition of PSs has undergone rapid and significant improvements, including the development of slow-release amino acid technologies, the introduction of glycomacropeptide-based products, as well as enhancements in taste and the variety of available formulations. However, their micronutrient content has received limited attention. This work aims to analyse the micronutrient composition of all PS formulations available in Italy for paediatric PKU patients and compare their micronutrient contribution to the recommended dietary allowance (RDA) and assess variability among products and age groups. Materials and Methods: The content of 28 micronutrients was analysed in 63 PSs, grouped according to the age ranges defined by the RDA guidelines: 0–6 months, 6–12 months, 1–3 years, 3–8 years, 8–14 years. The micronutrient content was standardised for 10 g of protein equivalent (PE). Results: Compared to the RDA, many micronutrients were found to be over-supplemented across all age groups, particularly in the 0–6 month group, where peak levels were observed for vitamin K, chromium, and manganese. The 1–3 age group showed the lowest levels of supplementation, with most micronutrients falling within the sub-supplementation range. The variability in supplementation among PSs was broad and showed the highest values in the latter age ranges, reaching maximum levels for biotin and copper. Among different ages, the variability was higher in the first two age ranges, particularly for vitamin A. Choline is not supplemented in many PSs across different age ranges. Conclusions: Many micronutrients supplemented in the PSs exceed the RDA for all age groups, with high variability among different PSs and age groups. When prescribing a PS, the daily amount of synthetic proteins of the diet should be considered in order to evaluate the real daily intake of micronutrients in a PKU diet. Full article

Background: Inadequate dietary intake of vitamin D, vitamin K, and calcium, as well as sub-optimal sunlight exposure, can lead to bone loss in the general population, and more so in patients with ulcerative colitis, who are burdened by additional predisposing factors for osteoporosis, such as chronic inflammation and cortisone use. However, micronutrient deficiencies, if present, are easily corrected by nutritional intervention. While the relation between calcium and vitamin D and bone metabolism is well known, fewer data are available for vitamin K, for both healthy individuals and patients. The aim of this review is to provide an overview of recent reports focusing on nutritional deficits relevant to the development of osteoporosis/osteopenia in patients affected by ulcerative colitis. Methods: A systematic electronic search of the English literature up to January 2025 was performed using Medline and the Cochrane Library. Results: Despite being central in bone mineralization, data on dietary calcium intake in ulcerative colitis are relatively scarce, deriving mostly from mixed inflammatory bowel disease cohorts. Although lower than controls, dietary calcium intake approaches the recommended daily allowance, which establishes the necessary daily intake of nutrients. Conversely, vitamin D and vitamin K deficiencies are highly prevalent in ulcerative colitis patients. The widely shared opinion that milk and lactose-containing foods, as well as vegetables, worsen diarrhea is a prime determinant of inadequate vitamin D and vitamin K intake. Conclusions: Increased awareness of the importance of nutrition and the common occurrence of nutritional deficits represents the first step for the development of dietary intervention strategies to counteract the increased risk of osteoporosis in ulcerative colitis patients. Full article

Worldwide dietary sodium intake exceeds the recommended daily allowance, generating global interest in reducing sodium content in foods. This preliminary study aimed to evaluate the effects of decreasing sodium chloride (NaCl) levels on hybrid burger characteristics by partially replacing it with potassium chloride and carrot pulp. A total of 60 beef burger patties were divided into four treatments: A (control), 1.5% NaCl; B, 1.5% NaCl + 5% carrot pulp; C, 30% replacement of NaCl with potassium chloride (KCl) + 5% carrot pulp; D, 50% replacement of NaCl with KCl + 5% carrot pulp. Carrot pulp significantly influenced color indices and pH. The control (treatment A) exhibited the lowest lightness (L*) values (31.70 vs. 40.9, 38.67, and 38.44 for treatments B, C, and D, respectively; p < 0.05). Additionally, carrot pulp positively affected water-holding capacity, but it led to an increase in total aerobic bacterial count by approximately 2 logs and fungal count increased by about 4 logs (cfu/g). Sensory attributes were not impacted by the addition of carrot pulp; however, replacing 50% of NaCl with KCl significantly increased bitterness. In conclusion, replacing 30% of NaCl with KCl while incorporating carrot pulp was feasible without compromising sensory properties of the hybrid burger. Full article

Background/Objectives: Food matching aligns food consumption and food composition data to quantify intakes of a food component or category. A systematic approach to food matching is required to obtain the highest quality match and, therefore, most accurately quantify the intake of the food component under investigation. This study aims to provide a tool to assess adherence with the Australian Dietary Guideline food group recommendations by the development of a food matching method that links dietary intake data from a food frequency questionnaire to food group data in the Australian Dietary Guideline database. Methods: Two researchers trained in food composition independently applied a stepwise approach to link the Dietary Questionnaire for Epidemiological Studies Version 2 food frequency questionnaire and the Australian Dietary Guideline database. Food preparation methods, mixed dishes and Australian Dietary Guideline database representative foods were considered to ensure the highest quality result. Average values were calculated for foods for which multiple items were matched. Results: The Australian Dietary Guideline Adherence Tool (ADG-AT) was produced, providing the number of servings of the five Australian Dietary Guideline food groups and discretionary foods per 100 g of food for 5742 food items. Conclusions: The ADG-AT produced in this study allows convenient evaluation of Australian Dietary Guideline adherence in studies using the Dietary Questionnaire for Epidemiological Studies food frequency questionnaire to collect dietary intake data. This informs the identification of dietary risk factors for nutritional inadequacy and chronic disease. The systematic methods used in this study can be reapplied to different dietary intake collection tools and food composition databases. Full article

Background/Objectives: This study explores the metabolic adaptations and quality differences between wild and farmed gilthead seabream (Sparus aurata), with a particular focus on lipid composition and metabolite profiles. These differences are examined in the context of varying environmental conditions, feeding regimes, and post-harvest processes. High-resolution magic-angle-spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy was employed to perform the metabolomic analysis. Results: Farmed seabream exhibited higher lipid content and PUFA levels (e.g., DHA and EPA) due to aquaculture diets, while wild seabream showed lower lipid concentrations and elevated levels of polar metabolites. Metabolic trade-offs in wild seabream reflected greater physical activity and environmental adaptation. The K-value indicated faster spoilage in farmed seabream, particularly from Greece, linked to handling conditions. HR-MAS provided precise, reproducible results, allowing direct quantification of key metabolites without altering sample integrity. Methods: HR-MAS NMR was employed to analyze muscle tissue from wild and farmed seabream (produced in Spain and imported from Greece), providing high-resolution spectra without requiring sample extraction. Metabolite quantification included polyunsaturated fatty acids (PUFAs), creatine, taurine, lactate, and trimethylamine N-oxide (TMAO). Freshness was monitored using the K-value index, calculated from ATP derivative levels in samples stored at 4 °C. Conclusions: The study highlights the influence of diet and environment on the metabolic profiles of seabream. HR-MAS NMR emerges as a robust method for metabolomic studies and freshness assessment. Findings emphasize the potential for dietary adjustments to optimize aquaculture practices and fish quality while underscoring the importance of sustainable production strategies. Further research into lipid metabolism genes and environmental factors is recommended to deepen understanding of these adaptations. Full article

Background/Objectives: In recent years, there has been a growing interest in precision nutrition and its potential for disease prevention. Differences in individual responses to diet, especially among populations of different ancestry, have underlined the importance of understanding the effects of genetic variations on nutrient intake (nutrigenomics). Since humans generally cannot synthesize essential vitamins, the maintenance of healthy bodily functions depends on dietary vitamin intake. Understanding the differences in vitamin uptake and metabolism across diverse populations may allow for targeted treatment plans and improved overall health. We assessed the current scientific evidence on genetic variations (such as single-nucleotide polymorphisms (SNPs)) affecting vitamin metabolism in humans. Methods: A systematic literature review of primary studies on genetic variations associated with (personalized) nutrition was conducted. Using key terms related to personalized nutrition, nutrigenomics, SNPs, and genetic variations, three online databases were searched for studies published between 2007 and 2023 that included healthy adult subjects. Only results that were confirmed at least once were included. Study quality was assessed with the Joanna Briggs Institute (JBI) critical appraisal tool. Results: Eighty-six articles were included in this review. Our analysis revealed associations with homocysteine metabolism and B Vitamins, Vitamin D, and components of Vitamin E. Genetic associations with Vitamin D, particularly with the GC gene, were extensively researched and linked to lower 25(OH)D concentrations, with sunlight exposure as a contributing factor. Most variants had a negative effect on homocysteine levels. Additionally, we observed general increases in carotenoid levels in the presence of SNPs, although more research on Selenium and Selenoprotein P concentrations is warranted. No studies on Vitamin C were obtained, indicating an area for further methodological improvement. Ancestry is believed to be a significant factor influencing SNP associations and significance. Conclusions: The current review emphasizes the importance of genetics in targeted disease prevention and health care. Our comprehensive findings may provide healthcare practitioners with reliable information to make recommendations in precision nutrition, specifically vitamin supplementation. Full article