Dataset Information

Validation of Diet ID™ in Predicting Nutrient Intake Compared to Dietary Recalls, Skin Carotenoid Scores, and Plasma Carotenoids in University Students.

ABSTRACT: Background and Aim: Collecting accurate dietary information in the research setting is challenging due to the inherent biases, duration, and resource-intensive nature of traditional data collection methods. Diet ID™ is a novel, rapid assessment method that uses an image-based algorithm to identify dietary patterns and estimate nutrient intake. The purpose of this analysis was to explore the criterion validity between Diet ID™ and additional measures of dietary intake. Methods: This prospective cohort study (n = 42) collected dietary information using Diet ID™, the Nutrition Data System for Research (NDSR), plasma carotenoid concentrations, and the Veggie Meter^® to estimate carotenoid levels in the skin. Results: There were significant correlations between Diet ID™ and NDSR for diet quality, calories, carbohydrates, protein, fiber, and cholesterol. Vitamin A and carotenoid intake were significantly correlated, with the exception of α-carotene and lycopene. Significant correlations were observed for calcium, folate, iron, sodium, potassium, Vitamins B₂, B₃, B₆, C, and E. Skin carotenoid scores and plasma carotenoids were correlated with carotenoid intake from Diet ID™. Conclusions: Diet ID™ may be a useful tool in nutrition research as a less time-intensive and minimally burdensome dietary data collection method for both participants and researchers.

SUBMITTER: Radtke MD

PROVIDER: S-EPMC9865232 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Validation of Diet ID™ in Predicting Nutrient Intake Compared to Dietary Recalls, Skin Carotenoid Scores, and Plasma Carotenoids in University Students.

Radtke Marcela D MD Chodur Gwen M GM Bissell Michael C S MCS Kemp Leslie C LC Medici Valentina V Steinberg Francene M FM Scherr Rachel E RE

Nutrients 20230113 2

<b>Background and Aim:</b> Collecting accurate dietary information in the research setting is challenging due to the inherent biases, duration, and resource-intensive nature of traditional data collection methods. Diet ID™ is a novel, rapid assessment method that uses an image-based algorithm to identify dietary patterns and estimate nutrient intake. The purpose of this analysis was to explore the criterion validity between Diet ID™ and additional measures of dietary intake. <b>Methods:</b> This ...[more]

PMID: 36678280

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Project description:BACKGROUND:Biological markers of vegetable and fruit (VF) intake are needed both for nutrition surveillance and for the evaluation of nutrition interventions. Optically assessed skin carotenoid status (SCS) has been proposed as a marker of intake but there are few published validity studies to date. Therefore, the objective of the study was to examine the concurrent validity of multiple methods of assessing VF intake cross-sectionally and seasonally over one year and to discuss the relative merits and limitations of each method. METHODS:Fifty-two 40-60 y old women completed a 1-year longitudinal study that included 1) SCS assessment using resonance Raman spectroscopy (RRS) and using pressure-mediated reflection spectroscopy (RS) at 12 timepoints, 2) thirty-six 24-h recalls using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24; total 1866 recalls), and 3) plasma carotenoid concentrations measured every 3 months. Pearson correlation coefficients and mixed linear models were used to estimate pairwise correlations between RRS, RS, ASA24, and plasma carotenoids. RESULTS:RS and RRS were strongly correlated at baseline and over the year (r = 0.86 and 0.76; respectively, P < 0.001). RS was strongly correlated with plasma carotenoids at baseline (r = 0.70) and moderately across the year (r = 0.65), as was RRS (r = 0.77 and 0.69, respectively, all P < 0.001). At baseline, self-reported VF was weakly correlated with RRS (r = 0.33; P = 0.016), but not with RS or plasma carotenoids. Across the year, self-reported VF intake was weakly correlated with both RS (r = 0.37; P = 0.008), RRS (r = 0.37; P = 0.007), and with plasma carotenoids (r = 0.36; P < 0.008). CONCLUSIONS:SCS as measured by RS and RRS is moderately to strongly correlated with plasma carotenoid concentrations both cross-sectionally and longitudinally, indicating that it can be a powerful tool to assess carotenoid-rich VF intake in populations. CLINICAL TRIAL REGISTRY:This trial was registered at ClinicalTrials.gov as NCT01674296.

Project description:In Brazilian universities, the university restaurant (UR) is essential in supporting students to complete their courses, as the UR offers free or low-cost food. In this sense, this research aimed to evaluate public policy effectiveness in offering food to low-income students attending the UR of the University of Brasília. This cross-sectional study compared low-income students (participating in the Student Assistance Program-Group 1) and students that did not participate in the Program (Group 2). Researchers assessed food consumption through direct observation of students while serving their plates at UR (in all meals consumed at UR) and completed food consumption with diet recalls for the meals outside the UR. In total, three complete days, including one weekend day, were evaluated for each student. Researchers also evaluated the participants' body mass composition and body fat percentage. The results of the comparisons between the evaluated groups showed that the groups presented similar intakes. Only sodium intake was significantly different for males, being higher for Group 1. The median sodium consumption among females and males in group 1 was 55% and 119%, respectively, above the upper limit (UL). In Group 2, sodium intake levels reached consumption percentages above UL by 36% for females and 79% for males. The prevalence of inadequate sodium consumption was 100% for both genders and groups. Extra salt was added to dishes by 19.7% of the students. For females, only fiber ingestion was statistically different, with higher intake for Group 1. The other evaluated parameters showed similarities among groups for each gender. The statistical analysis revealed a significant difference in the consumption of calories, fibers, sodium, iron, and calcium for the students who had three meals at the UR in the two weekdays. There was a statistical difference in nutrients for those who had three meals in the UR, reinforcing the importance of the UR's meals. The current food and nutrition policy at the UR proved to be extremely important in university students' lives and in maintaining healthy nutritional aspects. However, changes in sodium use, more calcium intake, and less cholesterol consumption should receive attention to better balance dietary elements of the food offered. Dish preparation should be carefully followed to ensure the quality of the food for university students.

Project description:BackgroundEpidemiological studies have demonstrated an association between carotenoid intake and health. However, an accurate measurement of carotenoid intake is challenging. FFQ is the most commonly used dietary assessment method and is typically composed of 100-200 items. However, the greater participant burden that accompanies a more detailed FFQ provides only a marginal gain in accuracy. Therefore, a brief validated carotenoid intake screener is needed.ObjectivesTo conduct secondary analysis evaluating the validity of a newly developed 44-item carotenoid intake screener from The Juice Study: Sensitivity of Skin Carotenoid Status to Detect Change in Intake (NCT03202043) against corresponding plasma carotenoid concentrations (primary) and skin carotenoids (secondary) in nonobese Midwestern American adults.MethodsHealthy adults (n = 83; 25 men and 58 women) aged 18-65 y (mean age, 32 ± 12 y) with a BMI (in kg/m2) of 18.5-29.9 (mean BMI, 25 ± 3) were recruited between 25 April 2018 and 28 March 2019. Participants completed the carotenoid intake screener weekly during the 8-wk parent study. Plasma carotenoid concentrations were assessed at weeks 0, 4, and 8 using HPLC. Skin carotenoids were assessed weekly using pressure-mediated reflection spectroscopy (RS). Correlation matrices from mixed models were used to determine the correlation between carotenoid intake and plasma and skin carotenoids over time.ResultsThe total carotenoid intake, as determined by the carotenoid intake screener, correlated with both the plasma total carotenoid concentration (r = 0.52; P < 0.0001) and the RS-assessed skin carotenoid concentration (r = 0.43; P < 0.0001). Correlations between reported intake and plasma concentrations of α-carotene (r = 0.40; P = 0.0002), cryptoxanthin (r = 0.28; P = 0.0113), and lycopene (r = 0.33; P = 0.0022) were also observed.ConclusionsThe results of this study demonstrate an acceptable relative validity of the carotenoid intake screener to assess total carotenoid intake in adults classified as those having a healthy body or those with overweight.

Project description:Timely diagnosis of SARS-CoV-2 is important for infection control and treatment. Real-time reverse transcriptase PCR (rRT-PCR) tests are the reference standard for diagnosis but often require a centralized laboratory, making them time-intensive and unsuitable for resource-limited settings. The Abbott ID NOW™ COVID-19 2.0 assay is a rapid point-of-care (POC), isothermal molecular test for qualitative detection of SARS-CoV-2. We prospectively evaluated its clinical performance against three reference rRT-PCR tests: Hologic Panther Fusion, Roche Cobas, and CDC 2019-nCoV RT-PCR Diagnostic Panel. Investigators enrolled 3,530 subjects, with 3,146 evaluable. In symptomatic subjects (n = 914), the test showed a positive percent agreement (PPA) of 91.7% (95% confidence interval [CI]: 87.8, 94.4) and a negative percent agreement (NPA) of 98.4% (95% CI: 97.1, 99.1). The PPA improved with lower cycle threshold (Ct) values: 94.7% (95% CI: 91.2, 97.2) for Ct ≤36, 97.6% (95% CI: 94.5, 99.2) for Ct ≤33, and 99.4% (95% CI: 96.8, 100.0) for Ct ≤30. Discordant results were observed among the three reference rRT-PCR tests across evaluable subjects with suspected COVID-19 infection. For 1,630 cases of symptomatic and asymptomatic subjects suspected of COVID-19, where all three rRT-PCR methods were evaluable, CDC test results differed the most, with 144 discordant results with Roche and 119 with Panther rRT-PCR tests. Roche and Panther test results differed in 67 cases. In summary, the Abbott ID NOW™ COVID-19 2.0 assay can serve as a valuable diagnostic tool in acute symptomatic subjects in point-of-care settings.ImportanceThe Abbott ID NOWTM COVID-19 2.0 assay is a suitable rapid test for diagnosing COVID-19 in acute symptomatic subjects and can be used in point-of-care settings and low-resource settings. With results reported in 12 minutes or less, Abbott ID NOWTM COVID-19 2.0 facilitates timely diagnosis, enabling linkage to appropriate antiviral medication.

Project description:BackgroundWhile necessary for studying dietary decision-making or public health, estimates of nutrient supply based on self-reported food intake are barely accessible or fully lacking and remain a challenge in human research. In particular, detailed information on dietary fiber is limited. In this study we introduce an automated openly available approach to assess self-reported nutrient intake for research purposes for a popular, validated German food frequency questionnaire (FFQ).MethodsTo this end, we i) developed and shared a code for assessing nutrients (carbohydrates, fat, protein, sugar, fiber, etc.) for 53 items of the quantitative, validated German DEGS1-FFQ questionnaire implementing expert-guided nutritional values of diverse sources with several raters. In a sample of individuals (nGUT-BRAIN = 61 (21 female) overweight, omnivorous), we ii) cross-validated nutrient intake of the last 7 days and the last 24 h and iii) computed test-retest reliability across two timepoints. Further, iv) we reported newly computed nutrient intake for two independent cross-sectional cohorts with continuous weight status and different dietary habits (nMensa = 134 (79 female, 1 diverse), nGREADT = 76 male). Exploratively, we v) correlated computed, energy-adjusted nutrient intake with anthropometric markers and HbA1c and vi) used linear mixed models to analyse the predictability of BMI and WHR by nutrient intake.ResultsIn overweight adults (n = 61 (21 female), mean age 28.2 ± 6.5 years, BMI 27.4 ± 1.6 kg/m2) nutrient intakes were mostly within recommended reference nutrient ranges for both last 7 days and last 24 h. Recommended fiber intake was not reached and sugar intake was surpassed. Calculated energy intake was significantly higher from last 24 h than from last 7 days but energy-adjusted nutrient intakes did not differ between those timeframes. Reliability of nutrient values between last 7 days and 24 h per visit was moderate (Pearson's rhoall ≥ 0.33, rhomax = 0.62) and absolute agreement across two timepoints was low to high for 7 days (Pearson's rhomin = 0.12, rhomax = 0.64,) and low to moderate for 24 h (Pearson's rhomin = 0.11, rhomax = 0.45). Associations of dietary components to anthropometric markers showed distinct sex differences, with overall higher intake by males compared to females and only females presenting a negative association of BMI with fiber intake. Lastly, in the overweight sample (but not when extending the analysis to a wider BMI range of 18.6-36.4 kg/m2), we could confirm that higher BMI was predicted by lower energy-adjusted fiber intake and higher energy-adjusted fat intake (when adjusting for age, sex and physical activity) while higher WHR was predicted by higher energy intake.ConclusionWe provide an openly available tool to systematically assess nutrient intake, including fiber, based on self-report by a common German FFQ. The computed nutrient scores resembled overall plausible and reliable measures of nutrient intake given the known limitations of FFQs regarding over- or underreporting and suggest valid comparability when adjusting for energy intake. Our open code nutrient scoring can help to examine dietary intake in experimental studies, including dietary fiber, and can be readily adapted to other FFQs. Further validation of computed nutrients with biomarkers and nutrient-specific metabolites in serum, urine or feces will help to interpret self-reported dietary intake.

Dataset Information

Validation of Diet ID™ in Predicting Nutrient Intake Compared to Dietary Recalls, Skin Carotenoid Scores, and Plasma Carotenoids in University Students.

Publications

Validation of Diet ID™ in Predicting Nutrient Intake Compared to Dietary Recalls, Skin Carotenoid Scores, and Plasma Carotenoids in University Students.

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