Nutrient Database Research Articles

Decoding heterogeneity in data-driven self-monitoring adherence trajectories in digital lifestyle interventions for weight loss: a qualitative study

BackgroundData-driven trajectory modeling approaches have been used to identify participant subgroups with differing responses to digital lifestyle interventions. Identifying contributing factors to different participant subgroups can inform tailored strategies to early “rescue” intervention non-responders. Self-monitoring (SM) is a central mechanism in lifestyle interventions for driving behavior change and can serve as an early indicator for later intervention response. This qualitative study aimed to compare SM experiences between intervention response subgroups and to identify contributing factors to intervention response subgroups in a 6-month digital lifestyle intervention for adults with overweight or obesity.ResultsParticipants were middle-aged (52.9 ± 10.2 years), mostly female (65%), and of Hispanic ethnicity (55%). Four major themes with emerged from the thematic analysis: Acceptance towards SM Technologies, Perceived SM Benefits, Perceived SM Barriers, and Responses When Facing SM Barriers. Participants across both subgroups perceived SM as positive feedback, aiding in diet and physical activity behavior changes. Both groups cited individual and technical barriers to SM, including forgetfulness, the burdensome SM process, and inaccuracy. The Responder Group displayed positive problem-solving skills that helped them overcome the SM barriers. In contrast, some in the Non-responder Group felt discouraged from SM. Both subgroups found diet SM particularly challenging, especially due to technical issues such as the inaccurate food database, the time-consuming food entry process in the Fitbit app.ConclusionsOur study indicates that qualitative analysis is valuable for translating data-driven findings to actionable intervention improvement strategies. Our findings may inform the development of practical SM improvement strategies in future digital lifestyle interventions for weight loss. Notably, building problem solving skills emerge as a key approach to prevent potential non-responders from intervention disengagement.

Surface Temperature Changes and Effects on Cocoa Yield in the Top Four Cocoa Producing Countries of Africa: A Comparative Analysis

Cocoa is a leading export crop to the world market and Cote D’Ivoire, Ghana, Nigeria and Cameroon in Africa, accounts for about 70% of the global supply. However, increasing global warming with attendant high ambient temperature had affected yields in the tropical regions of Africa. The data of 61 years (1961 – 2021), area harvested (ha), yield (kg/ha) and temperature (OC) were sourced from the database of Food and Agricultural Organisation Corporate Statistical (FAOSTAT). Least squares regression and correlation analysis models were used for data analysis. Results showed that mean ambient temperature in Cote D’Ivoire, Ghana, Nigeria and Cameroon have increased by 0.7661, 0.7507, 0.7333 and 0.6400 OC for a total of 51, 51, 50 and 49 years respectively, while mean decreases were 0.1541, 0.1693, 0.1710, 0.1392oC for 10, 10, 11 and 12 years respectively. Annual average temperature increase was highest (0.0243oC) in Cote D’Ivoire with regression coefficient (R2) of 0.7232 and least (0.0200oC) in Nigeria at R2 of 0.6380. However, in both countries, annual temperature decreased by 0.0012o and 0.0007o with R2 of 0.0052 and 0.0014 respectively. The mean annual temperature increase in Ghana and Cameroon were 0.023o and 0.0204o with R2 of 0.7364 and 0.6965 respectively, while the decreases were 0.0019o and -0.0011o with R2 of 0.0152 and 0.0431 respectively. The cocoa cumulative yield (kg/ha) reduced by 105.8, 90.8 and 75.0kg/ha respectively in Cote D’Ivoire, Ghana and Cameroon when temperature decreased, but increased by 12.5kg/ha in Nigeria during same temperature decreasing trend. In Ghana and Cameroon, cocoa annual yield was higher in the years of temperature increase, while decreased ambient temperature enhanced cocoa yield in Nigeria and Cote D’Ivoire. Hence, to enhance cocoa yield in the top four cocoa producing countries of Africa, the ambient temperatures should be controlled through the adoption of Good Agricultural Practices (GAP).

Instrument failures for the AirSeal device: A Food and Drug Administration MAUDE database study

ObjectiveThis study aims to analyze instances of AirSeal device failures reported in the Food and Drug Administration's MAUDE (Manufacturer and User Facility Device) database, focusing on identifying trends in failure types and locations. Summary Background DataThe AirSeal device has revolutionized minimally invasive surgery by providing stable pneumoperitoneum and optimal visualization. However, concerns about its reliability and safety have surfaced. MethodsRetrospective analysis of the MAUDE database. A search for ‘AirSeal’ device-related events from 2014 to 2023. A total of 411 events resulting in injury, death, or other complications were identified, and data were extracted from these reports. Data extraction included report number, event date, event type, manufacturer, patient problem, and number of events. It should be noted that detailed information such as the specific organs involved or the exact surgical procedures were not available in the MAUDE database reports. ResultsOver the 9-year period, 411 AirSeal device-related events were reported in MAUDE. The predominant failure mechanisms included device breakage 266 (64.7%), defective failures 16 (3.9%), flow failures 13 (3.2%), leak failures 8 (1.9%), patient-device interaction issues 5 (1.2%), and pressure-related failures 4 (1.0%). Among the reports, incidents related to the valveless-trocar included 261 (63.5%), whereas the insufflator was implicated in 150 reports (36.5%). The most common event reported involving the patient was embolism listed in 35 cases. There is also an increase in the number of cases reported annually. ConclusionFurther research is warranted to understand the root cause of device failure and implement targeted interventions aimed at mitigating any risks associated with the AirSeal device. Ultimately, collective efforts are directed towards upholding the highest standards of patient safety in this era of minimally invasive surgery.

How Often Does Technology Fail in Robotic-Assisted Arthroplasty? A Comprehensive Analysis of a United States Food and Drug Administration Database

BackgroundRobotic-assisted arthroplasty is a growing alternative to conventionally instrumented arthroplasty; however, the incidence of adverse events (AEs) associated with this technology reported to the United States Food and Drug Administration (FDA) remains poorly quantified. The objective of this study was to categorize AEs associated with robotic-assisted arthroplasty and calculate their annual incidence as reported to the FDA. MethodsThe FDA’s Manufacturer and User Facility Device Experience database was queried for AEs from January 1, 2017 to December 31, 2021 associated with the most prevalent robotic-arthroplasty system. The AEs were calculated using national surgical numbers provided by the manufacturer and grouped by total hip arthroplasty (THA), total knee arthroplasty (TKA), or partial knee arthroplasty (PKA). ResultsThere were 1,710 unique AEs across the study period, with 436 THA, 1,005 TKA, and 269 PKA, representing incidence rates of 0.37, 0.30, and 0.40%, respectively. All procedures demonstrated lower rates of AEs in the final year of the study, compared to the first year. Most complications were related to mechanical problems, not software issues. Surgical delays due to AEs occurred in THA (0.13% cumulative incidence, 14.0 minutes average delay), TKA (0.13%, 20.6 minutes), and PKA (0.22%, 19.4 minutes). No cases were canceled due to AEs in THA, though a few TKA (0.003%) and PKA (0.02%) cases were not performed. Patient injuries occurred in 0.05, 0.05, and 0.08% of THA, TKA, and PKA, respectively. Surgical reintervention was necessary in 0.004, 0.003, and 0.01% of THA, TKA, and PKA, respectively. ConclusionsRobotic-assisted arthroplasty has a small number and relatively low rate of AEs reported to the FDA as measured through the Manufacturer and User Facility Device Experience database, with rates steadily decreasing over the study period. Patient injury, case delay, and reoperation represent only a small fraction of the already rare AEs in the database.

Phosphorous intake in foods and phosphorus status markers in circulation in the Boston Puerto Rican Health Study

Phosphorus (P) additives may be deleterious for health. We measured the P content of key foods, and associations of P intake with biomarkers in the Boston Puerto Rican Health Study (BPRHS). Direct chemical analysis of 92 foods was done with the molybdenum blue spectrophotometric method and inductively coupled plasma mass spectrometry (ICP-MS). A novel algorithm was used to determine bioavailable, natural, and added P. We estimated P intakes from foods in 1323 participants, aged 45–75 y, and associations of these with serum P, fibroblast growth factor 23 (FGF23), parathyroid hormone (PTH), and Klotho. Relationships between intakes and status markers were assessed with Pearson’s correlations and t-tests. Our food analyses generally support P values in the USDA nutrient database, with the exceptions of American and cheddar cheese, which had more P than in the database. Women had higher added P intake than men, and younger participants had higher added P than those older. Total P intake tended to be positively associated with serum P and klotho, and inversely associated with PTH, but relationships were not strong. Puerto Rican adults have high intake of additive P. Culturally sensitive interventions that highlight dietary quality are needed.

Associations among dietary 1-carbon metabolism nutrients, genetic risk, and Alzheimer disease: a prospective cohort study

BackgroundThe associations between 1-carbon metabolism (OCM) nutrients (methionine, folate, vitamin B-6, and vitamin B-12) and Alzheimer disease (AD) remains inconclusive. ObjectivesThis study aimed to investigate the association of dietary OCM nutrients with subsequent risk of AD and further assess whether participants with high genetic risk for AD might benefit from dietary OCM nutrients. MethodsWe analyzed data from 192,214 participants who completed at least one 24-h dietary questionnaire and had no previous history of AD based on the UK Biobank. Nutrients intake was calculated using McCance and Widdowson’s The Composition of Food and USDA’s Food and Nutrient Database for Dietary Studies. Cox proportional models with restricted cubic splines were applied to explore the associations. ResultsOver a median follow-up of 13.35 y, 959 cases of AD (41 early-onset cases and 918 late-onset cases) were identified. Compared with those in the low-intake OCM group (quartile 1), participants in the high-intake OCM group (quartile 4) had reduced risk of developing AD. The corresponding hazard ratios (HRs) and 95% confidence intervals (CIs) for methionine, folate, vitamin B-6, and vitamin B-12 intake were 0.66 (0.54, 0.80), 0.71 (0.58, 0.87), 0.71 (0.59, 0.87), and 0.77 (0.64, 0.93), respectively. Similar associations were observed in late-onset AD. In early-onset AD, high methionine and vitamin B-12 intake were associated with 70% (HR: 0.30; 95% CI: 0.10, 0.86) and 71% (HR: 0.29; 95% CI: 0.09, 0.96) reduction in risk, respectively. Participants with low genetic risk and high OCM nutrients intake had >75% reduced AD risk compared with high-risk, low-intake participants. ConclusionsIn this prospective cohort study, we found that higher intake of OCM nutrients is associated with reduced risk of AD. Participants with high genetic risk of AD are more likely to benefit from dietary OCM nutrients intake.

Application of environmentally extended input-output data to estimate greenhouse gas emissions attributable to packaged foods and beverages in Australia

Input-output tables for national economies are widely available and may provide an established mechanism for estimating environmental impacts of industry sectors. We used environmentally extended input-output (EEIO) analysis to estimate greenhouse gas emissions (GHGe) for Australian packaged foods and beverages and compared the findings to those derived from life cycle analysis (LCA). GHGe intensities in purchaser prices were used alongside corresponding median prices per kilogram from NielsenIQ Homescan, a nationally representative database with food prices. Applying GHGe estimates to a 2019 Australian packaged food database, we reported median and interquartile range (IQR) GHGe per kilogram, comparing them with LCA-derived estimates. EEIO-derived intensities were estimated for 23,550 products, and the median overall GHGe based on EEIO data was 6.87 kg CO2eq / kg (IQR 4.20 to 10.5). LCA-derived estimates were comparatively lower, showing a median overall GHGe of 2.42 kg CO2eq / kg (IQR 1.41 to 5.00) using Poore and Nemecek data and 2.35 kg CO2eq / kg (IQR 1.24 to 4.53) using FoodSwitch. Despite differences in magnitude, EEIO-derived data discriminated between the highest emitting categories in alignment with the LCA-based approaches. Future work is required to understand the discrepancies and make the EEIO method a compelling alternative to LCA-based approaches.

The U.S. Food and Drug Administration (FDA) Food Disaggregation Database (FDA-FDD): a new tool for U.S. dietary exposure assessment

Dietary exposure to a food chemical (e.g. contaminant, nutrient, or other natural constituent) is a function of the concentration of the chemical in foods and the quantity of each food consumed. Exposures to food chemicals can be estimated using intake data from What We Eat in America (WWEIA), the food consumption survey portion of the National Health and Nutrition Examination Survey (NHANES). To estimate exposures to chemicals in foods consumed by NHANES/WWEIA respondents, the consumption data must be mapped to chemical concentration data on the same or similar foods. However, food chemical data are generally not available on all the foods and food mixtures that are reported in NHANES/WWEIA. To address this, we developed the FDA Food Disaggregation Database (FDA-FDD), a ‘recipe’ database with estimates of ingredient percentages. FDA-FDD allows mapping to food chemical data based on ingredients in NHANES/WWEIA foods rather than on food mixtures, resulting in more accurate exposure estimates. Using FDA-FDD, FDA mapped over 11,000 NHANES/WWEIA foods to FDA’s Total Diet Study (TDS) foods. FDA-FDD is available as part of a publicly available interactive application that also allows access to the TDS mapping.

Trends and Disparities in Diet Quality and Nutrient Intake among US Adults by Bodyweight Status.

The prevalence of obesity has been increasing in the US. Among the multifactorial contributors to obesity, dietary factors stand out as primary drivers. Using data from NHANES, we investigated the trends and disparities in diet quality and nutrient intake among US adults with different bodyweight statuses. Participants were divided into normal weight, overweight, and obese groups based on BMI. Diet quality was examined using HEI-2020. Nutrient intake was estimated based on the USDA Food and Nutrient Database for Dietary Studies. From 1999 to 2020, Despite an overall improvement in diet quality among overweight and obese US adults, disparities persisted for most HEI-2020 components, and worsened for whole grains, seafood and plant proteins, and fatty acids between normal weight and obese participants. Overweight and obese participants tended to consume less energy from total carbohydrates and more from total fat. The estimated total energy intake increased among obese participants over the past two decades, while no significant changes were observed among normal weight and overweight participants. In the 2017-2020 period, obese participants had lower HEI-2020 scores than both normal weight and overweight participants. However, no significant differences in total energy intake were observed among normal weight, overweight, and obese populations.

Application of EFSA EU menu database and R computing language to calculate the green chlorophyll intake in the European population

The growing evidence of the health benefits of chlorophyll pigments and the claims that could arise from industry and academia require data on their common dietary intakes. This study presents data on the chronic intake of green chlorophyll in 23 European countries using standardised methodologies to manage food consumption data within the EU Menu methodology. A mean intake of 207.12 mg of green chlorophylls/(d × person) for the adult population was calculated, considering significant covariates. The hierarchical cluster and partial least squares discriminant analysis (PLS-DA) techniques were applied to analyse intake disparities by region and age groups, identifying common food sources of green chlorophylls, such as olive oil, kale, and spinach. This paper presents a modern mathematical approach for obtaining novel information from existing databases of food composition data. Future challenges include building a comprehensive chlorophyll composition database for foods and extending the estimation to non-green chlorophyll pigments and metallo-chlorophyll food colourants.

Analysis of antibiotic resistant infections associated with hirudotherapy

ObjectiveGiven rising concern regarding antibiotic resistance, our objective was to evaluate antibiotic-resistant infections following leech therapy and to characterize the use of prophylactic antibiotics. MethodsAll reports of adverse events involving hirudotherapy (product code “NRN”) were retrieved from the U.S. Food and Drug Administration MAUDE database between 2012 and 2021. Antibiotic resistance was defined by bacterial culture or infection after antibiotic administration. ResultsNineteen cases of antibiotic resistance involving hirudotherapy were identified. Only three cases of antibiotic resistance were discovered on routine testing and the remaining 16 cases were associated with patient injury. Positive blood cultures or fever were present in 26.3 % (n = 5) of cases. Cultures of the infection grew Aeromonas hydrophilia (n = 13; 68.4 %), Vibrio vulnificus (n = 3; 15.8 %), Pseudomonas aeruginosa (n = 2; 10.5 %), and Proteus vulgaris (n = 1; 5.3 %). There were nine (47.4 %) multi-drug resistant infections. Infection was most commonly resistant to fluoroquinolones (n = 9; 47.4 %), trimethoprim-sulfamethoxazole (n = 9; 47.4 %) and ertapenem (n = 4; 21.1 %). ConclusionAntibiotic-resistant infections involving hirudotherapy are frequently resistant to multiple drugs, including fluoroquinolones and trimethoprim-sulfamethoxazole. Resistance to ertapenem, a drug of last resort, was also documented. The findings presented in this study support growing literature that the trend in multi-drug resistance is more severe than previously reported.

Development and validation of a web application to collect food supply data associated with their nutritional composition and environmental impacts

Measuring what people eat is a major methodological challenge. We developed and validated a new web-based method to record actual food supply data that would be less time consuming than the original method (i.e., food supply diary). Through the COD-Appro web application, participants can enter their food supplies by selecting a food item from a list based on items included in French food databases; thus automatically associated with nutrient composition and environmental impacts data. We recruited 102 participants who used COD-Appro during one month, among which 30 also used a classical paper-based food supply diary to be able to compare the two methods. A feedback questionnaire was completed by all the participants. The two methods showed no difference between the price and the quantity of food purchases when compared by food groups (n = 10) which confirms that the new method was robust compared to the original method. In addition, participants reported good usability of the COD-Appro web application and its use saved a considerable amount of time to the experimenters by integrating data entry and pairing with food databases (nutrient composition and environmental impacts) into the data collection step performed by the participants themselves.•Web-based food supply data collection•Association with nutrient composition and environmental impacts•External validity compared to original method (i.e., food supply diary)

Assessment of Milk and Beverage Intake Trends During Preschool Age and Modeling the Nutritional Impact of Replacing Nondairy Caloric Beverages with Milk

BackgroundMilk provides essential crucial public health nutrients, including 3–4 nutrients of public health concern, yet dairy consumption has declined over time, leading most Americans to fall short of meeting Dietary Guidelines recommendations. ObjectivesTo investigate milk and beverage consumption trends in preschool-age children, along with nutrient intakes from beverages, and to analyze the potential impact of replacing nondairy beverages with milk through isocaloric substitution. MethodsData from the National Health and Nutrition Examination Survey 2001–2018 for children aged 1–5 y (n = 4696) were used, and milk and other beverages intakes were estimated from the first 24-h in-person dietary recall. Nutrient intakes were determined using the United States Department of Agriculture’s food and nutrient database for dietary studies. Changes in nutrient intakes of children aged 2–5 y were modeled assuming isocaloric substitution with milk of all nondairy beverages consumed during lunch and dinner combined. Sample-weighted analyses were performed using SAS 9.4, and significance was set at P < 0.01. ResultsWith the increasing age of children, the intake of milk decreased, whereas the intake of energy, caloric beverages excluding milk, and sugar-sweetened beverages increased. Daily intakes of energy, protein, fat, saturated fatty acids (SFA), calcium, magnesium, potassium, sodium, vitamin A, folate, vitamin B-12, and vitamin D from caloric beverages including milk decreased with age, whereas the daily intake of fiber and added sugar increased with age. With the isocaloric replacement of nondairy caloric beverages with milk at lunch and dinner among children aged 2–5 y, intake of protein, fat, SFAs, calcium, magnesium, potassium, sodium, vitamin A, folate, vitamin B-12, and vitamin D increased, whereas for intake of carbohydrate, fiber, total sugar, and added sugar decreased. ConclusionsThe current findings indicate that increased efforts are needed to reverse the decrease in milk intake over time and as preschool children age and provide additional evidence to support specific dietary recommendations for milk.

Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care.

For artificial intelligence (AI) to support nutrition care, high quality and accuracy of its features within smartphone applications (apps) are essential. This study evaluated popular apps' features, quality, behaviour change potential, and comparative validity of dietary assessment via manual logging and AI. The top 200 free and paid nutrition-related apps from Australia's Apple App and Google Play stores were screened (n = 800). Apps were assessed using MARS (quality) and ABACUS (behaviour change potential). Nutritional outputs from manual food logging and AI-enabled food-image recognition apps were compared with food records for Western, Asian, and Recommended diets. Among 18 apps, Noom scored highest on MARS (mean = 4.44) and ABACUS (21/21). From 16 manual food-logging apps, energy was overestimated for Western (mean: 1040 kJ) but underestimated for Asian (mean: -1520 kJ) diets. MyFitnessPal and Fastic had the highest accuracy (97% and 92%, respectively) out of seven AI-enabled food image recognition apps. Apps with more AI integration demonstrated better functionality, but automatic energy estimations from AI-enabled food image recognition were inaccurate. To enhance the integration of apps into nutrition care, collaborating with dietitians is essential for improving their credibility and comparative validity by expanding food databases. Moreover, training AI models are needed to improve AI-enabled food recognition, especially for mixed dishes and culturally diverse foods.

In silico study suggests potential drugs that target CD151 to treat breast cancer and glioblastoma.

Recently tetraspanin CD151 has been identified as an important biological target involved in metastatic processes which include cell adhesion, tumor progression processes, and so forth in different types of cancers, such as breast cancer and glioblastoma. This in Silico study considered 1603 compounds from the Food and Drug Administration database, after performing an ADMET analysis; we selected 853 ligands, which were used for docking analysis. The most promising ligands were selected from docking studies, based on two criteria: (a) showed lowest affinity to the CD151 protein and (b) they interact with the QRD motif, located in the second extracellular loop. Furthermore, we investigate the stability of the protein-ligand complexes through MD simulations as well as free energy MM-PBSA calculations. From these results, loperamide and glipizide were identified as the best evaluated drugs. We suggest an in vitro analysis is needed to confirm our in silico prediction studies.

Intake of dietary flavonoids in relation to overactive bladder among U.S. adults: a nutritional strategy for improving urinary health.

The increasing influence of overactive bladder (OAB) on physical as well as mental health of individuals is becoming more pronounced annually, as evidenced by the urge urinary incontinence and nocturia. Symptoms in OAB patients may be influenced by inflammation and oxidative stress. Flavonoids are recognized as significant anti-inflammatory and antioxidant agents, which are commonly available in fruits, tea, vegetables, etc. Previous research has demonstrated the therapeutic potential of flavonoids and their subclasses in treating inflammation, and oxidative stress. Despite this, there remains a paucity of research exploring the potential correlation between flavonoid consumption, specifically within distinct subclasses, and OAB. Thus, our study aims to investigate the relationship between flavonoid intake and OAB to identify possible dietary interventions for OAB management. We utilized the survey data from the National Health and Nutrition Examination Survey (NHANES) and the USDA Food and Nutrient Database for Dietary Studies (FNDDS) to investigate the relationship between dietary intake of total and subclass flavonoids and the risk of OAB based on 13,063 qualified American adults. The dietary flavonoid intake was estimated from two 24-h dietary recalls. Weighted multivariate logistic regression model, quantile-based g-computation, restricted cubic spline model, and stratified analysis were used to explore the association between flavonoid intake and OAB, respectively. The participants diagnosed with OAB exhibited a higher percentage of being female, older, Non-Hispanic Black, unmarried, former drinkers, having a lower annual household income, lower poverty to income ratio, lower educational attainment, and a higher likelihood of being obese and smokers. Upon adjusting for confounding factors, the weighted logistic regression models revealed that the third quartile of consumption of anthocyanidin and the second quartile of consumption of flavone were significantly associated with the reduced odds of OAB, while total flavonoid consumption did not show a significant correlation with the risk of OAB. The quantile-based g-computation model indicated that flavone, anthocyanidin and flavonol were the primary contributors to the observed negative correlation. Furthermore, the restricted cubic spline models demonstrated a J-shaped non-linear exposure-response association between anthocyanidin intake and the risk of OAB (P nonlinear = 0.00164). The stratified and interaction analyses revealed that the relationship between anthocyanidin intake and the risk of OAB was significantly influenced by age (P interaction = 0.01) and education level (P interaction = 0.01), while the relationship between flavone intake and the risk of OAB was found to vary by race (P interaction = 0.02) and duration of physical activity (P interaction = 0.05). Our research suggests that consuming a diet rich in flavonoid subclass anthocyanidin and flavone is associated with a reduced risk of OAB, potentially offering clinical significance in the prevention of OAB development. This underscores the importance of dietary adjustments in the management of OAB symptoms.

Characterization of the nutritional profile of three plant-based drinks

This study aimed to analyze the nutrient composition of plant-based drinks (oat, almond, soy) available on the German market, focusing on 36 samples, representing non-fortified and unsweetened products. Due to the absence of standardized legal specifications, macronutrient variations within each category were observed. Besides this, distinct differences especially in macronutrients were identified among oat, almond, and soy drinks. This can be observed in the varying fat contents from 1.01 (oat) to 2.16 g/ 100 g (almond). Soy drinks exhibited the highest levels of minerals (e.g. potassium: 131.99 mg/100 g), trace elements (e.g. copper: 116.51 µg/100 g), vitamins (e.g. thiamine: 44.02 µg/100 g; folate: 9.7 µg/100 g), and protein (3.23 g/100 g).The presence of phytates found in all plant-based drinks, particularly the high concentrations in soy drinks (up to 81.5 mg/100 g) could negatively affect the bioavailability of essential elements like zinc, iron, and calcium. The study noted generally low concentrations of water-soluble (e.g. 8.25 µg/100 g riboflavin in oat) and fat-soluble vitamins (e.g. 0.35 mg/100 g vitamin E in soy) in the drinks. The insights gained from this research are expected to contribute to the enhancement of the German nutrient database Bundeslebensmittelschlüssel (BLS), facilitating better evaluation of dietary intake studies and dietary counseling.

Interlinking environmental and food composition databases: An approach, potential and limitations

Connecting entries from environmental and nutritional databases of food products is needed to identify sustainable food options. To overcome the hurdle for a successful data standardization, this paper aimed to explore the general structure of food composition and life cycle inventory (LCI) databases and to provide a semi-automatized approach on how to successfully interlink data of two example databases.The structure, the data availability and accessibility of food entries (FI) from the LCI database Agribalyse and selected food composition EuroFIR databases were analyzed. Harmonized food names from LanguaL™ codes from food classification systems were gathered and validated manually in order to use as descriptors to tag database entries in an automated way.Both databases, EuroFIR and Agribalyse, provided sufficient amount of meta data to interlink FI with the standardization approach proposed. Information on food name, food specification, food processing and the type of production was used for data interlinkage purposes. Manual validation of data interlinkage showed that two out of a sample of 54 entries were found to have incorrectly assigned descriptors.Agreeing on common principles (e.g., use of a specific classification system, common database formats) and improving meta data availability would facilitate database interlinkage and improve both, accuracy and efficiency. Developing solutions to increase meta data availability and accessibility of FI in food databases should become a key area of research in order to transition into more reliable database connection systems.

Evaluation of anticancer therapy-related dermatologic adverse events: Insights from Food and Drug Administration's Adverse Event Reporting System dataset

New anticancer therapies have improved patient outcomes but associated dermatologic adverse events (AEs) may cause morbidity and treatment discontinuation. A comprehensive estimation of associations between cancer drugs and skin AEs is lacking. This study utilized the Food and Drug Administartion (FDA)'s Adverse Event Reporting System database (January 2013-September 2022), with 3,399,830 reports involving 3084 drugs and 16,348 AEs. A nearest neighbor matching model was employed to select 10 controls for each case report, utilizing the cosine similarity of demographic and AE severity factors to minimize false positives/negatives. There were 10,698 unique anticancer drugs (n=212) to skin AE (n=873) pairs, of which 676 had significant reporting odds ratios (ROR)>1, comprising 113 drugs and 144 AEs. The minimum ROR was 1.25, and 50% of associations displayed a ROR >10. The most common were rash (51 agents) and dry skin (28 drugs). Methotrexate induced the most distinct AEs (34), then mechlorethamine (33), and vemurafenib (24). Targeted therapies accounted for 49% of pairs, cytotoxic chemotherapies for 35.9%, and immunotherapies for 11%. A total of 113 anticancer drugs were identified as significantly associated with skin AEs, most frequently rash and dry skin. Data are likely under-reported but enable quick postmarketing identification of skin toxicity signals.

A Food and Nutrient Database for Dietary Studies (FNDDS) Tailored to Hawaii May Reduce Dietary Assessment Error

A Food and Nutrient Database for Dietary Studies (FNDDS) Tailored to Hawaii May Reduce Dietary Assessment Error