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

Data Validation01:03

Data Validation

5.5K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
5.5K

You might also read

Related Articles

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

Sort by
Same author

Food on the go: How engagement with the food environment affects adolescent diets in Northern Vietnam.

The Journal of nutrition·2026
Same author

Urbanicity and the Diets and Nutritional Status of Adolescents and Their Mothers in Vietnam.

The Journal of nutrition·2026
Same author

A participatory food environment study on healthy diets in Southern and Eastern Zambia.

Health & place·2026
Same author

Feeding Experiences Among Caregivers of Children With Down Syndrome in Rwanda: A Qualitative Exploratory Study.

Public health challenges·2026
Same author

Community-driven strategies for preventing childhood stunting: perspectives from parents and front-line workers in Rwanda.

Frontiers in nutrition·2026
Same author

Author Correction: Governance and resilience as entry points for transforming food systems in the countdown to 2030.

Nature food·2026

Related Experiment Video

Updated: Sep 18, 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

7.4K

Validating self-administration as an agile modality for high-frequency diet quality data collection.

Rhys Manners1, Anna W Herforth2, Maria Delfine2

  • 1International Institute of Tropical Agriculture, Kigali, Rwanda.

Plos One
|June 25, 2025
PubMed
Summary

Mobile-phone surveys offer a valid, low-cost method for collecting diet quality data. This approach complements traditional enumerator methods, proving useful for monitoring dietary changes in specific populations.

More Related Videos

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

4.7K
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

5.9K

Related Experiment Videos

Last Updated: Sep 18, 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

7.4K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

4.7K
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

5.9K

Area of Science:

  • Public Health Nutrition
  • Digital Health Interventions
  • Survey Methodology

Background:

  • Accurate diet quality data is crucial for understanding global dietary shifts and their public health implications.
  • Mobile-phone technologies present a cost-effective and scalable solution for dietary data collection, supplementing traditional methods.
  • Validating self-administered mobile questionnaires against established benchmarks is essential for reliable data.

Purpose of the Study:

  • To validate the accuracy of self-administered mobile-phone Diet Quality Questionnaires (DQQs).
  • To compare the agreement rates of mobile-administered DQQs versus enumerator-administered DQQs against a weighed food record benchmark.
  • To assess the cost-effectiveness and subgroup performance of mobile-based dietary data collection.

Main Methods:

  • A weighed food record was used as the benchmark for quantitative dietary intake in 308 Rwandan participants.
  • Participants were randomized to respond to DQQs via mobile phone or enumerator administration.
  • Agreement between observed intake and reported responses was statistically analyzed for both modalities.

Main Results:

  • High agreement rates were observed between self-administered mobile and enumerator responses (91% vs 95%).
  • Mobile administration showed slightly lower agreement in older and lower-income participants, but no significant gender or time differences.
  • Mobile data collection was cost-effective at approximately USD 0.70 per response, compared to USD 0.79 for enumerators.

Conclusions:

  • Self-administered mobile-phone questionnaires are a valid and economical tool for collecting dietary data.
  • Mobile data collection offers an agile complement to enumerator-based surveys, suitable for high-frequency monitoring.
  • This method is particularly valuable for assessing dietary dynamics in specific subpopulations and in resource-limited settings.