Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

284
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
284
Energy Balance01:19

Energy Balance

781
The human body gets energy from the three macronutrients: carbohydrates, proteins, and fats. Energy is released when the chemical bonds in the organic compounds present in the food are broken down. The energy content of food is measured in kilocalories (kcal), defined as the amount of heat required to raise the temperature of one kilogram of water by one degree Celsius. This value is determined by measuring the temperature change of the water surrounding a calorimeter after the complete...
781
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

152
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
152

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Evaluation of an AI-Supported Nutrition Application (WiseFood) in a Living Lab Context: Protocol for a User Needs Assessment, Co-Design, and Feasibility Testing.

JMIR research protocols·2026
Same author

Healthy and sustainable diets defined.

Nature food·2025
Same author

An Evaluation of ChatGPT for Nutrient Content Estimation from Meal Photographs.

Nutrients·2025
Same author

Expansion and Assessment of a Web-Based 24-Hour Dietary Recall Tool, Foodbook24, for Use Among Diverse Populations Living in Ireland: Comparative Analysis.

Online journal of public health informatics·2025
Same author

Bovine dairy products and flow mediated dilation (FMD): a systematic review of the published evidence.

European journal of nutrition·2025
Same author

Dietary Intake Assessment Using a Novel, Generic Meal-Based Recall and a 24-Hour Recall: Comparison Study.

Journal of medical Internet research·2024

Related Experiment Video

Updated: Nov 21, 2025

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

7.6K

Meal Pattern Analysis in Nutritional Science: Recent Methods and Findings.

Cathal O'Hara1,2,3, Eileen R Gibney1,2,3

  • 1Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.

Advances in Nutrition (Bethesda, Md.)
|January 18, 2021
PubMed
Summary

Research on whole meal patterns is scarce. Advanced statistical methods analyze temporal, content, and context meal patterns, with the 3 meals/day pattern linked to better diet quality.

Keywords:
clusteringdecision treesdietary assessmentdietary patternseating patternslatent class analysismeal patternsprincipal components analysis

More Related Videos

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

6.1K
Quantification of Macronutrients Intake in a Thermogenetic Neuronal Screen using Drosophila Larvae
07:24

Quantification of Macronutrients Intake in a Thermogenetic Neuronal Screen using Drosophila Larvae

Published on: June 11, 2020

4.0K

Related Experiment Videos

Last Updated: Nov 21, 2025

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

7.6K
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

6.1K
Quantification of Macronutrients Intake in a Thermogenetic Neuronal Screen using Drosophila Larvae
07:24

Quantification of Macronutrients Intake in a Thermogenetic Neuronal Screen using Drosophila Larvae

Published on: June 11, 2020

4.0K

Area of Science:

  • Nutritional Science
  • Dietary Research
  • Statistical Analysis

Background:

  • Dietary intake research often focuses on individual foods/nutrients, neglecting whole meal patterns.
  • Analyzing complex meal patterns requires advanced statistical techniques due to numerous variables.

Purpose of the Study:

  • To evaluate statistical techniques used in meal pattern analysis.
  • To identify and categorize detected meal patterns.

Main Methods:

  • Narrative review of 10 observational studies.
  • Analysis of statistical techniques including principal components analysis, clustering, latent class analysis, and decision trees.
  • Categorization of meal patterns into temporal, content, and context.

Main Results:

  • Common temporal patterns: 3 meals/day, skipped breakfast, grazing. The 3 meals/day pattern showed higher diet quality.
  • 7-12 content patterns identified with low inter-study similarity and no clear health associations.
  • Limited associations found between temporal and context patterns and diet quality.

Conclusions:

  • The 3 meals/day pattern is associated with better diet quality.
  • Current statistical methods for meal pattern analysis need further development.
  • More research is needed to clarify the relationship between diverse meal patterns and health outcomes.