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Background: Accuracy and participant burden are two key considerations in the selection of a dietary assessment tool for assessing children's full-day dietary intake.
Objective: The aim of this study was to identify barriers experienced by parents and burden when using two technology-based measures of dietary intake to report their child's intake: the Remote Food Photography Method (RFPM) and the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24).
Design: Qualitative, semistructured, focus groups were conducted with parents who served as proxy reporters of their child's dietary intake using the two different dietary assessment methods (ie, RFPM and ASA24) 1 week apart.
Participants/setting: This study was conducted in 2019 and included 32 parents of children aged 7 to 8 years in Colorado and Louisiana.
Main Outcome Measures: Barriers adhering to the protocol and burden with the RFPM and ASA24.
Qualitative Analyses: Qualitative content analysis and Atlas.ti software were used to analyze and interpret focus group data.
Results: For the RFPM, parents described missing photos due to unobserved intake, forgetting to capture images, disruption of mealtimes, and child embarrassment when meals were photographed at school. For the ASA24, parents described the time commitment as the main source of burden and the need to expand the food database to include additional ethnic foods and restaurant items. The main strengths were ease of use for the RFPM and the consolidated workload for the ASA24.
Conclusions: The barriers experienced by parents and burden differed by method, highlighting the importance of considering the unique characteristics of each assessment tool when designing a pediatric dietary assessment study and interpreting findings.
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http://dx.doi.org/10.1016/j.jand.2021.11.001 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Food Science and Technology, Kaunas University of Technology, Kaunas, Lithuania.
Background: Fermented foods vary significantly by food substrate and regional consumption patterns. Although they are consumed worldwide, their intake and potential health benefits remain understudied. Europe, in particular, lacks specific consumption recommendations for most fermented foods.
View Article and Find Full Text PDFNutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
View Article and Find Full Text PDFArch Anim Nutr
September 2025
Department Safety in the Food Chain, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Copper (Cu) supplementation is essential in pig nutrition; however, its effects on performance, trace element accumulation in edible tissues, and environmental excretion require careful evaluation. In the present study a total of 24 male, castrated fattening pigs of two different hybrid mast lines (11 weeks of age) were divided according to their initial body weight (25.8 ± 3.
View Article and Find Full Text PDFInt J Vitam Nutr Res
July 2025
Department of Urology and Andrology, The First Affiliated Hospital, Sun Yat-sen University, 510080 Guangzhou, Guangdong, China.
Background: Obesity, a prevalent global health issue, is associated with testosterone deficiency (TD). A body shape index (ABSI) provides a more precise assessment of obesity and visceral fat, but its relationship with testosterone remains unclear. This study aimed to explore the association between ABSI and testosterone levels leading to TD.
View Article and Find Full Text PDFDigit Health
September 2025
Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Aim: To develop a structured questionnaire based on the integrated behavioural model (IBM) framework to assess social media use and dietary habits and to evaluate its validity and reliability among university students.
Materials And Methods: The study targeted undergraduate students, aged 18-25 years, from universities in Riyadh, Saudi Arabia, who actively used at least one major social media platform. The questionnaire was designed using IBM constructs, focusing on five dietary habit domains potentially influenced by social media.