Validation of the eNutri Food Frequency Questionnaire for Adults Aged 65 y and Older

Validation and Reproducibility Study of the eNutri Online Food Frequency Questionnaire for UK Adults Aged 65 Years and Older


Lead Sponsor: University of Reading

Source University of Reading
Brief Summary

The aim is to determine whether the eNutri web application can effectively estimate the dietary intake of a UK older population. The eNutri FFQ65+ study will validate the eNutri online food frequency questionnaire (FFQ) using 100 adults aged 65+ years. The FFQ will be validated against an online 24-hour dietary recall system (Intake24) and its reproducibility will be evaluated by the completion of two FFQs within a 14-day interval. In addition, all participants will also be asked to provide dried blood spot (DBS) samples which will be analysed for key biomarkers of nutritional intake and health. Biomarker results will be compared to FFQ results to further validate the eNutri FFQ.

Detailed Description

The primary objective of this study is to validate the eNutri FFQ65+ that assesses dietary intake for the previous 4 weeks against a widely-used, validated computer based 24-hour dietary recall system (Intake24), which is the dietary assessment tool currently used by the UK's National Diet and Nutrition Survey Rolling Programme. The second objective, the reproducibility of the FFQ 65+ dietary data, will also be tested by asking participants to complete the eNutri FFQ on two separate occasions with a 14-day interval between both. In addition, after completing the first FFQ, DBS will be collected from all participants to further validate the FFQ results against selected biomarkers, for example markers of nutrient intake, such as carotenoids, and markers of health, such as cholesterol.

Overall Status Not yet recruiting
Start Date March 2021
Completion Date August 2021
Primary Completion Date August 2021
Study Type Observational
Primary Outcome
Measure Time Frame
eNutri dietary intake Baseline
Secondary Outcome
Measure Time Frame
eNutri dietary intake Day 14
Enrollment 100

Intervention Type: Other

Intervention Name: Validation of the FFQ65+ via eNutri app

Description: All participants will provide two eNutri FFQ datasets within a 14-day interval along with three 24-hour dietary recalls and dried blood spot samples.

Arm Group Label: FFQ validation


Sampling Method: Non-Probability Sample


Inclusion Criteria: - Aged 65 years or over - Live in the UK - Able to spend approximately 30 minutes using a screen on a device - Do not have a diagnosis of dementia or another condition affecting memory - Do not have a food allergy or food intolerance (self- or medically diagnosed) - Are not following a weight loss diet - Generally eat on 2 or more occasions everyday Exclusion Criteria: - Follow a specialised or restricted diet (not including vegan and vegetarian diets) - Have a medical condition or take medications that do not allow an individual to eat a stable diet on a day-to-day basis (e.g. severe gastrointestinal condition) - Anticipate changes to their diet within the next three weeks (e.g. surgery, holiday, receiving nutritional advice from a professional) - Have participated in another nutrition study that included a specific dietary regime in the last 4 weeks or are currently participating

Gender: All

Minimum Age: 65 Years

Maximum Age: N/A

Healthy Volunteers: Accepts Healthy Volunteers

Overall Official
Last Name Role Affiliation
Julie Lovegrove, Professor Principal Investigator Hugh Sinclair Unit of Human Nutrition, University of Reading
Overall Contact

Last Name: Julie Lovegrove

Phone: +44 (0)118 378 6418

Email: [email protected]

Verification Date

February 2021

Responsible Party

Type: Principal Investigator

Investigator Affiliation: University of Reading

Investigator Full Name: Julie Lovegrove

Investigator Title: Director of the Hugh Sinclair Unit of Human Nutrition

Has Expanded Access No
Arm Group

Label: FFQ validation

Description: All participants to complete all aspects of the study.

Acronym eNutriFFQ65+
Patient Data Yes
Study Design Info

Observational Model: Case-Only

Time Perspective: Cross-Sectional