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Trial registered on ANZCTR
Registration number
ACTRN12614000197639
Ethics application status
Approved
Date submitted
14/02/2014
Date registered
24/02/2014
Date last updated
21/04/2017
Type of registration
Prospectively registered
Titles & IDs
Public title
Investigating a novel method to predict weight outcome after a weight loss program
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Scientific title
Investigating a novel method to predict weight outcome after a Very-low-energy diet (VLED)-based weight loss program in obese adults
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Secondary ID [1]
284101
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nil
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
obesity
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Condition category
Condition code
Diet and Nutrition
291514
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0
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Obesity
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Metabolic and Endocrine
291515
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0
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Normal metabolism and endocrine development and function
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
Participants will undertake an 8-week modified very-low-energy diet (VLED), in which 2 meals per day will be replaced with a commercially available very-low-energy diet formulation (Optifast VLCD milkshake or bar), along with a third meal consisting of lean protein and up to 2 cups of low-starch vegetables. At least 30 minutes per day of moderate intensity physical activity will be advised for all participants.
After a 2-week transition period in which participants will consume 1 meal replacement and 2 meals, participants will cease the meal replacements and be instructed to follow a weight maintenance diet individualised for their energy requirements for weight maintenance for one year.
Participants will be seen by a study physician or dietician every 2 weeks during the VLED phase, and every two months during the weight maintenance phase. At these visits, participants' weight, hip and waist circumferences will be measured, and dietary and exercise goals/advice will be reinforced. Beyond this, no specific strategies or tools will be used to improve or monitor adherence to the intervention protocols, in order to replicate a clinical setting as far as possible.
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Intervention code [1]
288796
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Treatment: Other
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Intervention code [2]
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Lifestyle
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Comparator / control treatment
Nil
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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Prediction of weight outcome following VLED using a linear discriminant analysis (LDA) model
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Assessment method [1]
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Timepoint [1]
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12 months after weight loss
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Primary outcome [2]
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Re-evaluation of the predictive accuracy of the LDA model after incorporation of data regarding biological and psychosocial factors (obtained via anthropometric measurements, biochemical testing and questionnaires).
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Assessment method [2]
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Timepoint [2]
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12 months after weight loss
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Secondary outcome [1]
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nil
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Assessment method [1]
306885
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Timepoint [1]
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N/A
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Eligibility
Key inclusion criteria
Weight stable for 3 months
BMI greater than/equal to 30kg/m2 or BMI greater than/equal to 27kg/m2 with a medical condition related to excess weight
BMI less than 60kg/m2
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Minimum age
18
Years
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Maximum age
70
Years
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Sex
Both males and females
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Can healthy volunteers participate?
Yes
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Key exclusion criteria
Pregnancy or breast-feeding
Previous surgery for weight loss
The use of a VLED or weight-lowering medication in the past 3 months
Change in weight of 3kg or more in the past 3 months
Change in dosage of thyroid or other hormone replacement in past 3 months
Planned surgery during the study
Cessation of smoking in past 6 months
Uncontrolled or clinically significant disease which would be a contraindication to a VLED
Known alcohol or drug dependence in past 1 year
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Study design
Purpose of the study
Treatment
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Allocation to intervention
Non-randomised trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
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Masking / blinding
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Who is / are masked / blinded?
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Intervention assignment
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Other design features
This is a non-randomised, single arm dietary intervention trial in which participants will undertake an 8-week VLED-based weight loss diet followed by 12 months on a weight-maintenance diet.
At the end of the study, participants will fall into one of 3 categories: those who lost at least 10% of their initial weight during the VLED and maintained their weight loss (maintaining at least 70% of initial weight loss at week 60), those who lost at least 10% of their initial weight during the VLED but regained the lost weight (regained >30% of initial weight lost), and those who did not lose 10% of their initial weight, or who did not complete the study.
Using the participants’ baseline anthropometric, biochemical and psychosocial questionnaire data, we will examine the ability of a statistical (linear discriminant analysis) model to predict the weight outcome 12 months after initial weight loss.
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Phase
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Type of endpoint/s
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Statistical methods / analysis
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
25/02/2014
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Actual
25/02/2014
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Date of last participant enrolment
Anticipated
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Actual
4/02/2015
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Date of last data collection
Anticipated
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Actual
31/03/2016
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Sample size
Target
100
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Accrual to date
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Final
100
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Recruitment in Australia
Recruitment state(s)
VIC
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Funding & Sponsors
Funding source category [1]
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University
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Name [1]
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University of Melbourne, Department of Medicine (Austin Health)
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Address [1]
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Heidelberg Repatriation Hospital
300 Waterdale Rd
Heidelberg VIC 3081
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Country [1]
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Australia
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Primary sponsor type
University
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Name
University of Melbourne, Department of Medicine (Austin Health)
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Address
Heidelberg Repatriation Hospital
300 Waterdale Rd
Heidelberg VIC 3081
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Country
Australia
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Secondary sponsor category [1]
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None
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Name [1]
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Address [1]
287431
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Country [1]
287431
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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Austin Health Human Research Ethics Committee
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Ethics committee address [1]
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Austin Hospital Studley Rd Heidelberg VIC 3084
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Ethics committee country [1]
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Australia
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Date submitted for ethics approval [1]
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Approval date [1]
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21/11/2013
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Ethics approval number [1]
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Summary
Brief summary
Amongst people undertaking any weight loss program, there is considerable variation in the amount of weight lost. Many studies have attempted to predict the outcome of weight loss treatments from information about biological, behavioural and psychological factors collected from participants before the start of treatment, but it has been difficult to predict outcomes using current methods. In a previous study conducted in our research group, we examined a statistical method which appeared to be useful in predicting the outcome of a medically supervised very-low-energy diet program using participants’ baseline physical measurements and psychological characteristics. However, further research is required in order to create a tool which will be useful to patients and healthcare providers. The overall aim of this study is to create a statistical model which can accurately predict the result for a person about to start a weight loss program.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof Joseph Proietto
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Address
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University of Melbourne, Dept of Medicine (Austin Health)
Level 2, Boronia Building, Heidelberg Repatriation Hospital
300 Waterdale Rd, Heidelberg Heights VIC 3081
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Country
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Australia
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Phone
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+61 3 9496 2250
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
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Priya Sumithran
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Address
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University of Melbourne, Dept of Medicine (Austin Health)
Level 2, Boronia Building, Heidelberg Repatriation Hospital
300 Waterdale Rd, Heidelberg Heights VIC 3081
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Country
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Australia
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Phone
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+61 3 9496 2250
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Fax
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Email
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[email protected]
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Contact person for scientific queries
Name
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Priya Sumithran
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Address
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University of Melbourne, Dept of Medicine (Austin Health)
Level 2, Boronia Building, Heidelberg Repatriation Hospital
300 Waterdale Rd, Heidelberg Heights VIC 3081
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Country
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Australia
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Phone
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+61 3 9496 2250
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Fax
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Email
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[email protected]
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No information has been provided regarding IPD availability
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
Source
Title
Year of Publication
DOI
Embase
Combining biological and psychosocial baseline variables did not improve prediction of outcome of a very-low-energy diet in a clinic referral population.
2018
https://dx.doi.org/10.1111/cob.12229
N.B. These documents automatically identified may not have been verified by the study sponsor.
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