Trial reportTrials2012
Genetic test feedback with weight control advice: study protocol for a randomized controlled trial.
Trial report in Trials, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis.BMJ (Clinical research ed.) · 2016Pooled it
- A randomized trial Examining The Impact Of Communicating Genetic And Lifestyle Risks For Obesity.Obesity (Silver Spring, Md.) · 2016Trial
- Genetic susceptibility testing and readiness to control weight: Results from a randomized controlled trial.Obesity (Silver Spring, Md.) · 2015Trial
- A randomized trial of the clinical utility of genetic testing for obesity: design and implementation considerations.Clinical trials (London, England) · 2014Trial
- Does personalised nutrition advice based on apolipoprotein E and methylenetetrahydrofolate reductase genotype affect dietary behaviour?Nutrition and health · 2022Article
- Applied Interventions in the Prevention and Treatment of Obesity Through the Research of Professor Jane Wardle.Current obesity reports · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundGenetic testing for risk of weight gain is already available over the internet despite uncertain benefits and concerns about adverse emotional or behavioral effects. Few studies have assessed the effect of adding genetic test feedback to weight control advice, even though one of the proposed applications of genetic testing is to stimulate preventive action. This study will investigate the motivational effect of adding genetic test feedback to simple weight control advice in a situation where weight gain is relatively common. METHODS/
designFirst-year university students (n = 800) will be randomized to receive either 1) their personal genetic test result for a gene (FTO) related to weight gain susceptibility in addition to a leaflet with simple weight control advice ('Feedback + Advice' group, FA), or 2) only the leaflet containing simple weight control advice ('Advice Only' group, AO).Motivation to avoid weight gain and active use of weight control strategies will be assessed one month after receipt of the leaflet with or without genetic test feedback. Weight and body fat will be measured at baseline and eight months follow-up. We will also assess short-term psychological reactions to the genetic test result. In addition, we will explore interactions between feedback condition and gene test status. DISCUSSION: We hope to provide a first indication of the clinical utility of weight-related genetic test feedback in the prevention context.
trial registrationCurrent controlled trials ISRCTN91178663.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.