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Public acceptability of obesity interventions
Last registered on October 21, 2020

Pre-Trial

Trial Information
General Information
Title
Public acceptability of obesity interventions
RCT ID
AEARCTR-0006648
Initial registration date
October 20, 2020
Last updated
October 21, 2020 8:35 AM EDT
Location(s)
Primary Investigator
Affiliation
Behavioural Insights Team
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2020-10-22
End date
2020-11-05
Secondary IDs
Abstract

There is evidence to suggest that public acceptability of health interventions is affected by how those interventions are framed (i.e. the way they are described and presented). In this study, we assess i) how the framing of the drivers of obesity, and ii) the framing of interventions as being delivered by the government, influences public perception of interventions to tackle overweight and obesity. We will explore these questions through an online randomized controlled trial; in which around 6000 participants will be randomized to one of 4 groups: (I) control (i.e. no framing, and no mention of government), (II) explanation of obesity as being caused by the environment, (III) explanation of obesity as being caused by industry, and (IV) government framed as implementing interventions to tackle obesity. Participants in each group will then be presented with a series of interventions to tackle obesity, and asked to rate how acceptable they find them and how effective they perceive them to be. Results will be compared across groups.
External Link(s)
Registration Citation
Citation
Brown, Helen. 2020. "Public acceptability of obesity interventions." AEA RCT Registry. October 21. https://doi.org/10.1257/rct.6648-1.0.
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Experimental Details
Interventions
Intervention(s)
There is evidence to suggest that public acceptability of health interventions is affected by how those interventions are framed (i.e. the way they are described and presented). In this study, we assess i) how the framing of the drivers of obesity and ii) the framing of interventions as being delivered by the government influences public perception of interventions to tackle overweight and obesity. As such, we have drafted paragraphs to frame obesity as a problem caused by the environment in which we live, and as a problem caused by industry. These will be presented to randomly allocated groups of participants, with a view to testing which (if any) narrative impacts on participants’ opinion of interventions to tackle obesity. For a further intervention arm, we have included the UK government as the body delivering the obesity interventions, to assess whether this is important in shaping whether participants’ find particular obesity interventions acceptable, and whether they think they will be effective.
Intervention Start Date
2020-10-22
Intervention End Date
2020-11-05
Primary Outcomes
Primary Outcomes (end points)
Continuous variable, acceptability of interventions to tackle obesity (rated on a Likert scale to indicate whether participants support or oppose an intervention)
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
As previously, this will be a randomized controlled trial, featuring 4 arms: (I) control (i.e. no framing, and no mention of government), (II) explanation of obesity as being caused by the environment, (III) explanation of obesity as being caused by industry, and (IV) government framed as implementing interventions to tackle obesity.
Experimental Design Details
Randomization Method
Randomization performed by computer, upon entering an online survey
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
~6000 participants
Sample size: planned number of observations
~6000 participants
Sample size (or number of clusters) by treatment arms
1500 (I) control
1500 (II) explanation of obesity as being caused by the environment
1500 (III) explanation of obesity as being caused by industry
1500 (IV) government framed as implementing interventions to tackle obesity
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Primary analysis: A difference of 0.18 SD between framings; and between messengers. Secondary analysis: Differences of 0.14 SD for individual responsibility outcome; 0.19 SD for intervention support outcomes. Cohens d 0.2, 80% power, 5* Alpha significance level.
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS