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Trial registered on ANZCTR
Registration number
ACTRN12616000287437
Ethics application status
Approved
Date submitted
1/03/2016
Date registered
4/03/2016
Date last updated
7/02/2017
Type of registration
Prospectively registered
Titles & IDs
Public title
Do omega-3 polyunsaturated fatty acids have a gender-specific effect on insulin resistance?
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Scientific title
Do omega-3 polyunsaturated fatty acids have a gender-specific effect on insulin resistance? A double-blind randomized controlled trial
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Secondary ID [1]
288663
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Nil
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Universal Trial Number (UTN)
U1111-1180-2214
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Trial acronym
O3FA-IR
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Insulin Resistance
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Obesity
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Condition category
Condition code
Diet and Nutrition
298023
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0
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Obesity
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Metabolic and Endocrine
298063
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0
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Diabetes
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
The intervention arm will receive 2 x 1g/day fish oil capsules (EPAX 1050 TG/N).
Each capsule containing 60mg EPA + 430mg DHA for 12 weeks.
Participants will be required to return unused tablets to assess compliance. In addition, omega-3 content in erythrocyte membranes will be measured at the start and the conclusion of the study in order to assess compliance.
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Intervention code [1]
294079
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Treatment: Other
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Comparator / control treatment
Placebo arm will receive 2 x 1g/day corn oil capsules for 12 weeks.
Each capsule will contain 1g corn oil.
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Control group
Placebo
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Outcomes
Primary outcome [1]
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Insulin Resistance (i.e. HOMA-IR, Matsuda Index)
HOMA-IR will be calculated using fasting plasma glucose and fasting plasma insulin measures. Matsuda Index will be calculated following a 2 hour Oral Glucose Tolerance Test, using plasma glucose and insulin values obtained at 0 mins and 120 mins post OGTT.
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Assessment method [1]
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Timepoint [1]
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Baseline (week 0) and post intervention (week 12)
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Primary outcome [2]
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Glycemic Profile (i.e. fasting plasma glucose, fasting plasma insulin, HbA1c in whole blood)
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Assessment method [2]
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Timepoint [2]
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Baseline (week 0) and post intervention (week 12)
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Secondary outcome [1]
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Lipid Profile (i.e. total cholesterol, LDL, HDL, TG in blood serum)
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Assessment method [1]
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Timepoint [1]
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Baseline (week 0) and post intervention (week 12)
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Secondary outcome [2]
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Inflammatory Profile (i.e. CRP, TNF-alpha, IL-6, IL-1beta, adiponectin in blood serum)
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Assessment method [2]
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Timepoint [2]
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Baseline (week 0) and post intervention (week 12)
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Secondary outcome [3]
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Erythrocyte Fatty Acid Composition. (Fatty acid composition of erythrocyte plasma membranes, assessed via Gas Chromatography)
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Assessment method [3]
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Timepoint [3]
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Baseline (week 0) and post intervention (week 12)
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Eligibility
Key inclusion criteria
1. Age – 18-70; gender – both males and females
2. No participation in any clinical trial for at least 3 months
3. BMI between 25-45kg/m2
4. Waist Circumference > 88cm (females) and 102cm (males)
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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?
No
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Key exclusion criteria
1. Pregnancy or lactation
2. Established type 2 diabetes
3. Have an electronic implant (e.g. pacemaker)
4. Currently taking anti-diabetic medications
5. Allergic to seafood or corn
6. Currently on medication with Aspirin and Warfarin
7. History of gastro-intestinal disorders
8. History of severe neurological diseases or seizures
9. History of new investigational drug three months prior to this trial
10. Consuming more than 2 serve of oily fish per week
11. Taking regular dietary supplements known to influence blood glucose level
12. Unwilling to fast for 10hr before obtaining blood sample
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Study design
Purpose of the study
Treatment
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Allocation to intervention
Randomised controlled trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Interested subjects will contact the study investigator who will then assess the subject's eligibility to participate over the phone. If the participant is deemed eligible, the participant will be sent a consent form, participant information statement and will be enrolled in the study. They will also be sent a series of self-administered questionnaires (medical history, physical activity, 3-day food record) along with instructions. All forms will need to be completed and returned upon baseline visit.
Allocation to treatments will be based on the computer generated block randomization method to ensure well-balanced groups. The allocation concealment will be conducted using sealed opaque envelopes
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Allocation to treatment will be based on the computer generated block randomization method. Males and females will be stratified to allow for gender sub-group analysis.
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Masking / blinding
Blinded (masking used)
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Who is / are masked / blinded?
The people receiving the treatment/s
The people administering the treatment/s
The people assessing the outcomes
The people analysing the results/data
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Intervention assignment
Parallel
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
Efficacy
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Statistical methods / analysis
Sample size determination
Seventeen participants will give an 80% power to detect a 1.0 unit drop in HOMA-IR. To determine whether effects are gender-specific the sample size will be doubled to ensure an adequate sample of males and females. To allow for drop-outs 20 participants will be recruited to each group (males, placebo and intervention; females, placebo and intervention) giving a total of 80 participants.
Baseline data
Baseline measures will be used as covariates. Gender, BMI and other potentially confounding variables such as weight and age may be added as covariates if they are significantly correlated with the outcome measures.
Treatment effects
All the data relating the significant effects of n-3PUFA are expressed as mean ± SEM or median + IQR as appropriate. The effect of interventions on glucose tolerance, HOMA-IR, blood glucose levels and HbA1C between groups will be estimated by using two-way ANOVA with post hoc comparisons (Tukey’s honestly significant difference).
Significance (P-value set at 0.05) indicates the changes from the baseline values. Changes from the baselines will be determined using paired t-tests. This statistical analysis helps in determining whether there will be a significant main effect for each independent variable by testing for between subject effects. Sub-group analysis will allow investigators to investigate any gender-based differences in effect.
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Recruitment
Recruitment status
Recruiting
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Date of first participant enrolment
Anticipated
15/03/2016
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Actual
15/07/2016
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Date of last participant enrolment
Anticipated
31/08/2017
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Actual
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Date of last data collection
Anticipated
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Actual
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Sample size
Target
80
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
NSW
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Recruitment postcode(s) [1]
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2308 - Newcastle University
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Recruitment postcode(s) [2]
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2300 - Newcastle
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Funding & Sponsors
Funding source category [1]
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Self funded/Unfunded
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Name [1]
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Address [1]
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Country [1]
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Primary sponsor type
University
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Name
University of Newcastle
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Address
University Drive
Callaghan, NSW, 2308
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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]
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Country [1]
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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University of Newcastle Human Research Ethics Committee
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Ethics committee address [1]
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University of Newcastle University Drive Callaghan, NSW, 2308
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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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15/03/2015
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Approval date [1]
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14/08/2015
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Ethics approval number [1]
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H-2015-0167
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Summary
Brief summary
Development of type 2 diabetes is closely linked with overweight and obesity. Due to the increasing prevalence of obesity in Australia, combined with an increasingly aged population, type 2 diabetes and associated health complications will become an increasingly burdensome public health problem in the near future. Epidemiological studies, as well as animal studies, suggest that a higher omega-3 status might be protective against obesity-related insulin resistance, however, intervention trials have had equivocal results. Recent evidence suggests that the effect of omega-3 polyunsaturated fatty acids on insulin resistance might be sex dependent. Therefore the aim of the current study is to determine whether there is a sex-dependent response on measures of insulin resistance to an omega-3PUFA intervention
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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 Manohar Garg
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Address
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305C Medical Sciences Building
University of Newcastle
University Drive
Callaghan, NSW, 2308
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Country
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Australia
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Phone
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+61 2 49215647
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Fax
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+61 2 49212028
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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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Kylie Abbott
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Address
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305B Medical Sciences Building
University of Newcastle
University Drive
Callaghan, NSW, 2308
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Country
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Australia
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Phone
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+61 2 4021 5638
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Fax
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+61 2 4921 2028
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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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Manohar Garg
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Address
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305C Medical Sciences Building
University of Newcastle
University Drive
Callaghan, NSW, 2308
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Country
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Australia
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Phone
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+61 2 4921 5647
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Fax
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+61 2 4921 2028
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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
No additional documents have been identified.
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