Background: Accurate information about children's intake is crucial for national nutrition policy and for research and clinical activities. To analyze accuracy for reporting energy and nutrients, most validation studies utilize the "conventional approach," which was not designed to capture errors of reported foods and amounts. The "reporting-error-sensitive approach" captures errors of reported foods and amounts.
Objective: To extend results to energy and macronutrients for a validation study concerning retention interval (elapsed time between to-be-reported meals and the interview) and accuracy for reporting school-meal intake, the conventional and reporting-error-sensitive approaches were compared. DESIGN AND PARTICIPANTS/SETTING: Fourth-grade children (n=374) were observed eating two school meals, and interviewed to obtain a 24-hour recall using one of six interview conditions from crossing two target periods (prior 24 hours and previous day) with three interview times (morning, afternoon, and evening). Data were collected in one district during three school years (2004-2005, 2005-2006, and 2006-2007).
Main Outcome Measures: Report rates (reported/observed), correspondence rates (correctly reported/observed), and inflation ratios (intruded/observed) were calculated for energy and macronutrients.
Statistical Analyses Performed: For each outcome measure, mixed-model analysis of variance was conducted with target period, interview time, their interaction, and sex in the model; results were adjusted for school year and interviewer.
Results: With the conventional approach, report rates for energy and macronutrients did not differ by target period, interview time, their interaction, or sex. With the reporting-error-sensitive approach, correspondence rates for energy and macronutrients differed by target period (four P values <0.0001) and the target period by interview-time interaction (four P values <0.0001); inflation ratios for energy and macronutrients differed by target period (four P values <0.0001), and inflation ratios for energy and carbohydrate differed by the target period by interview-time interaction (both P values <0.005).
Conclusions: Shortening the retention interval of dietary recalls increases accuracy for reporting energy and macronutrients. For validation studies, it is best to obtain reference information from a method that provides details about foods and amounts consumed and to use an analytic approach that captures errors of reported foods and amounts.
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http://dx.doi.org/10.1016/j.jada.2010.05.006 | DOI Listing |
Global Spine J
January 2025
Department of Orthopaedics, Phramongkutklao Hospital and College of Medicine, Bangkok, Thailand.
Study Design: Systematic review.
Objective: Artificial intelligence (AI) and deep learning (DL) models have recently emerged as tools to improve fracture detection, mainly through imaging modalities such as computed tomography (CT) and radiographs. This systematic review evaluates the diagnostic performance of AI and DL models in detecting cervical spine fractures and assesses their potential role in clinical practice.
Anal Chim Acta
February 2025
Institute of Environmental Science, Shanxi University, Taiyuan 030006, China.
Hypochlorous acid (HClO) is a well-known inflammatory signaling molecule, while lipid droplets (LDs) are dynamic organelles closely related to inflammation. Using organic small-molecule fluorescence imaging technology to target LDs for precise monitoring of HClO is one of the most effective methods for diagnosing inflammation-related diseases. A thorough investigation of how probes detect biological markers and the influencing factors can aid in the design of probe molecules, the selection of high-performance tools, and the accuracy of disease detection.
View Article and Find Full Text PDFAnal Chim Acta
February 2025
Biofuel and Renewable Energy Research Center, Department of Biotechnology, Faculty of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran.
Background: The buildup of methylparaben (MP), a broad-spectrum antimicrobial preservative with endocrine-disrupting properties, in environmental sources, especially aquatic systems, has become a significant concern due to its adverse health effects, including allergic reactions, promoting the risk of developing cancer, and inducing reproductive disorders. Hence, introducing inexpensive and easy-to-use monitoring devices for rapid, selective, and sensitive detection and quantification of MP is highly desirable. In this context, electrochemical platforms have proven to be attractive options due to their remarkable features, such as ease of fabrication and use, short response time, and acceptable sensitivity, accuracy, and selectivity.
View Article and Find Full Text PDFOpen Heart
January 2025
Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis imaging quantitative CT, AI-QCT).
Methods: The study included 208 patients with suspected coronary artery disease (CAD) undergoing CCTA in Perfusion Imaging and CT Coronary Angiography With Invasive Coronary Angiography-1.
Environ Res
January 2025
Department of Chemistry, University college in Al-Jamoum, Umm Al-Qura University, 21955, Makkah, Saudi Arabia.
Accurate quantification of neonicotinoid insecticides is pivotal to ensure environmental safety by examining and mitigating their potential harmful effects on pollinators and aquatic ecosystems. In this scenario, detection of neonicotinoid insecticide, thiamethoxam (TMX), is significant for safeguarding ecological balance and human health. Hence, we developed a highly sensitive electrochemical sensor for detection of TMX in environmental samples, utilizing a novel nanocomposite with superior electrocatalytic properties and integrating an optimized neural network for accurate data analysis.
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