ArticleNutrients2019
Evaluation of a Technological Image-Based Dietary Assessment Tool for Children during Pubertal Growth: A Pilot Study.
Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- An Image-Recognition Dietary Assessment App for Adolescents With Obesity: Pilot Randomized Controlled Trial.JMIR formative research · 2024Trial
- Artificial Intelligence for Weight Management in Children: A Narrative Review.Healthcare (Basel, Switzerland) · 2026Review
- Sweeteners and puberty: investigating genetic and dietary influences on central precocious puberty.Journal of endocrinological investigation · 2025Article
- Choosing sweeteners wisely-nutrigenetic study on childhood obesity.Nutrition & metabolism · 2025Article
- Body Recomposition Effects of Long-Term Glycyrrhizin Consumption in Nonobese Individuals: From the Clinic to the Bench.ACS pharmacology & translational science · 2025Article
- Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools-a scoping review of potential applications.Frontiers in nutrition · 2025Review
- Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study.JMIR mHealth and uHealth · 2024Article
- Changes in Dietary Nutrient Intake and Estimated Glomerular Filtration Rate over a 5-Year Period in Renal Transplant Recipients.Nutrients · 2023Article
- The Most Popular Commercial Weight Management Apps in the Chinese App Store: Analysis of Quality, Features, and Behavior Change Techniques.JMIR mHealth and uHealth · 2023Article
- Association of Three Different Dietary Approaches to Stop Hypertension Diet Indices with Renal Function in Renal Transplant Recipients.Nutrients · 2023Article
- Critical body fat percentage required for puberty onset: the Taiwan Pubertal Longitudinal Study.Journal of endocrinological investigation · 2023Article
- Effects of Nonnutritive Sweeteners on Body Composition Changes during Pubertal Growth.Nutrients · 2023Article
- Association between genetic risk score and tri-ponderal mass index growth trajectories among different dietary consumption adolescents in a prospective Taiwanese cohort.Nutrition & metabolism · 2022Article
- Aspartame Consumption, Mitochondrial Disorder-Induced Impaired Ovarian Function, and Infertility Risk.International journal of molecular sciences · 2022Article
- Assessment of Undernutrition in Pediatric Chronic Kidney Disease - Gaps and Opportunities.Frontiers in pediatrics · 2022Article
- Maternal Vegetable and Fruit Consumption during Pregnancy and Its Effects on Infant Gut Microbiome.Nutrients · 2021Article
- Agreement between an Image-Based Dietary Assessment Method and a Written Food Diary among Adolescents with Type 1 Diabetes.Nutrients · 2021Article
- Dietary Diversity Score: Implications for Obesity Prevention and Nutrient Adequacy in Renal Transplant Recipients.International journal of environmental research and public health · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
We designed an image-based dietary assessment tool called COFIT, which means "fit together" and pilot-tested it in the Taipei Puberty Longitudinal Study (TPLS). Children aged 6-17 years were invited to use COFIT over three days for recording all instances of eating in addition to maintaining written food records (FR). Spearman's correlation and Bland-Altman analysis were used to compare the intake of macronutrients and micronutrients estimated using the image-based dietary assessment and the FR method. Intra-class correlation coefficients were used to estimate reliability between dietitians. In the final analysis, 23 children (mean age: 10.47 ± 0.47 years) with complete data obtained using two dietary assessment methods were included. Reliability among dietitians was high. Most assessments of macronutrients and micronutrients revealed moderate correlations between the two methods (range: 0.27-0.94); moreover, no significant differences in nutrients assessments were observed between the two methods, except for energy and fat. The average difference in energy intake between the methods was 194 kcal/day. Most limits of agreement were within an acceptable range. The Bland-Altman plots showed robust agreement with minimum bias. The limitation was the small sample size and not dividing the population into children and teenagers since the two groups may have different food consumption habits. Overall, the results showed that the image-based assessment tool is suitable for assessing children's dietary intake of macronutrients and micronutrients during pubertal growth.
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