Ignite Creation Date:
2024-05-06 @ 7:59 PM
Last Modification Date:
2024-10-26 @ 3:17 PM
Study NCT ID:
NCT06204913
Status:
COMPLETED
Last Update Posted:
2024-05-09
First Post:
2023-11-27
Brief Title:
Menu Label Noticeability
Sponsor:
University of California Davis
Organization:
University of California Davis
Study Overview
Official Title:
Restaurant Menu Study Label Noticeability
Status:
COMPLETED
Status Verified Date:
2023-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
To assess the relative noticeability of the following added-sugar menu label elements using a factorial experiment label type icon-only vs icon-plus-text label vs boxed icon color black vs red size 100 vs 150 of the height of the menu item text and placement left vs right side of item
Detailed Description:
The objective of this aim is to assess the relative noticeability of legally-viable added-sugar menu label characteristics The investigators will use a between-subject experiment with a factorial design Participants will be randomized to label type icon-only vs icon-plus-text label vs boxed icon color black vs red size 100 vs 150 of the height of the menu item text and placement left vs right side of item This results in 24 arms of the experiment
The primary outcomes are noticing a nutrition label and recognition of the label Secondary outcomes are knowledge of items that are high in added sugar and perceived message effectiveness PME of labels
For dichotomous outcomes eg noticing the label recalling label meaning the investigators will directly estimate the probability ratio using Poisson regression with a robust error variance regressing the outcome on an indicator for the level of the factor For continuous outcomes eg knowledge PME scale the investigators will use linear regression models regressing the outcome on an indicator for experimental condition
A critical alpha 005 will be used and statistical tests will be two-tailed Exploratory outcomes include selection of 1 item high in added sugar and grams of sugar ordered from each menu analyzed using the methods described above The investigators will also explore proportions or means for the following process measures about reactions to the warning labels Perception that the labels grabbed attention and support for an added sugars warning label policy Additionally the investigators will explore differences in the primary outcomes between each of the 24 unique conditions If there is evidence of interactions between label elements investigators will modify the modeling approach to account for those interactions eg using interaction terms and stratified modelsThe investigators will use multiple testing corrections for families of outcomes primary and secondary
The primary outcomes are noticing a nutrition label and recognition of the label Secondary outcomes are knowledge of items that are high in added sugar and perceived message effectiveness PME of labels
For dichotomous outcomes eg noticing the label recalling label meaning the investigators will directly estimate the probability ratio using Poisson regression with a robust error variance regressing the outcome on an indicator for the level of the factor For continuous outcomes eg knowledge PME scale the investigators will use linear regression models regressing the outcome on an indicator for experimental condition
A critical alpha 005 will be used and statistical tests will be two-tailed Exploratory outcomes include selection of 1 item high in added sugar and grams of sugar ordered from each menu analyzed using the methods described above The investigators will also explore proportions or means for the following process measures about reactions to the warning labels Perception that the labels grabbed attention and support for an added sugars warning label policy Additionally the investigators will explore differences in the primary outcomes between each of the 24 unique conditions If there is evidence of interactions between label elements investigators will modify the modeling approach to account for those interactions eg using interaction terms and stratified modelsThe investigators will use multiple testing corrections for families of outcomes primary and secondary
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None