SEARCHCOHORTnutrition, dietetics

cohort·nutrition, dietetics, clinical nutrition, research methods, observational study·PMC10146256

Relative Validity and Reliability of the Remind App as an Image-Based Method to Assess Dietary Intake and Meal Timing in Young Adults

Nutrients · 4 authors, 3 centres

AI SUMMARY

FIDELITY 100%

This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

AGENT 01 · STRUCTURED SUMMARY

TRACE TO SOURCE

“

TL;DR

The Remind app demonstrated good relative validity and moderate to excellent reliability for jointly assessing dietary intake and meal timing.

Full summary

949 CHARS

This cohort study evaluated the relative validity and reliability of the Remind mobile app as an image-based method for dietary and meal timing assessment in 71 free-living young adults. Participants completed both a handwritten 3-day food record (reference) and a 3-day image-based record using the Remind app (test) within one week. A registered dietitian analyzed the data. The study found the Remind app has good relative validity and moderate to excellent reliability for jointly assessing dietary intake (energy, macronutrients, and most food groups) and meal timing. Limitations include the study being a relative validation (neither method represents the absolute truth), the 3-day duration may be inadequate for micronutrient assessment, and the sample of young adults may not be representative of the broader population. The findings suggest image-based methods can improve data quality and reduce user burden for chrononutrition research.

STUDY TYPE

cohort

SPECIALTY

nutrition

SUMMARISED BY

AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10146256

Relative Validity and Reliability of the Remind App as an Image-Based Method to Assess Dietary Intake and Meal Timing in Young Adults

Nutrients

READ THE FULL PAPER

ABSTRACT

Abstract Image-based dietary records have been validated as tools to evaluate dietary intake. However, to determine meal timing, previous studies have relied primarily on image-based smartphone applications without validation. Noteworthy, the validation process is necessary to determine how accurately a test method measures meal timing compared with a reference method over the same time period. Thus, we aimed to assess the relative validity and reliability of the Remind ® app as an image-based method to assess dietary intake and meal timing. For this purpose, 71 young adults (aged 20–33 years, 81.7% women) were recruited for a 3-day cross-sectional study, where they completed a 3-day image-based record using the Remind app (test method) and a 3-day handwritten food record (reference method). The relative validity of the test method versus the reference method was assessed using multiple tests including Bland–Altman, % difference, paired t -test/Wilcoxon signed-rank test, Pearson/Spearman correlation coefficients, and cross-classification. We also evaluated the reliability of the test method using an intra-class correlation (ICC) coefficient. The results showed that, compared to the reference method, the relative validity of the test method was good for assessing energy and macronutrient intake, as well as meal timing. Meanwhile, the relative validity of the test method to assess micronutrient intake was poor ( p < 0.05) for some micronutrients (iron, phosphorus, potassium, zinc, vitamins B1, B2, B3, B6, C, and E, and folates) and some food groups (cereals and grains, legumes, tubers, oils, and fats). Regarding the reliability of an image-based method to assess dietary intake and meal timing, results ranged from moderate to excellent (ICC 95% confidence interval [95% CI]: 0.50–1.00) for all nutrients, food groups (except oils and fats, which had low to moderate reliability), and meal timings. Thus, the results obtained in this study provide evidence of the relative validity and reliability of image-based methods to assess dietary intake (energy, macronutrients, and most food groups) and meal timing. These results open up a new framework for chrononutrition, as these methods improve the quality of the data collected and also reduce the burden on users to accurately estimate portion size and the timing of meals. Keywords: dietary intake assessment, meal timing, food record, image-based dietary records, validation

CITATION EXPORT

Catalina Ramírez-Contreras, Andreu Farran-Codina, María Fernanda Zerón-Rugerio et al.. Relative Validity and Reliability of the Remind App as an Image-Based Method to Assess Dietary Intake and Meal Timing in Young Adults. Nutrients. (2023). https://doi.org/10.3390/nu15081824

AUTHORS

4 · 3 CENTRES

Catalina Ramírez-Contreras, Andreu Farran-Codina, María Fernanda Zerón-Rugerio, Maria Izquierdo-Pulido

1Department of Nutrition, Food Science and Gastronomy, Food Science Torribera Campus, University of Barcelona, 08921 Barcelona, Spain
2INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921 Barcelona, Spain
3Department of Fundamental and Medical-Surgical Nursing, Faculty of Medicine and Health Sciences, University of Barcelona, 08907 Barcelona, Spain