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Trial registered on ANZCTR
Registration number
ACTRN12616001352493
Ethics application status
Approved
Date submitted
27/09/2016
Date registered
29/09/2016
Date last updated
10/11/2016
Type of registration
Prospectively registered
Titles & IDs
Public title
The Sugars Intake Measurement Study: A study to investigate the association between carbon and nitrogen stable isotope ratios as a biomarker of sugars intake in 120 healthy participants in New Zealand
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Scientific title
Validation of carbon stable isotope ratios in red blood cells and hair as a biomarker of sugars intake in New Zealand
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Secondary ID [1]
290218
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Nil known
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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:
Biomarker development of sugars intake.
300396
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Condition category
Condition code
Diet and Nutrition
300259
300259
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0
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Other diet and nutrition disorders
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
We will determine carbon and nitrogen stable isotope ratios in blood and hair samples as biomarkers of free sugars intakes. Blood and hair samples will be taken at baseline, and again 10 weeks later. During the 10 weeks, participants will complete a 7d diet record and two different food frequency questionnaire (FFQ) (a general FFQ and a sugar-specific FFQ).
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Intervention code [1]
295987
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Not applicable
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Comparator / control treatment
Free sugars will be estimated by conventional dietary assessment methods including a general short food frequency questionnaire (FFQ), a sugars-specific FFQ and a 7d weighed diet record.
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Control group
Active
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Outcomes
Primary outcome [1]
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The association between carbon and nitrogen stable isotope ratios in red blood cells and self-reported dietary intakes of total sugars, free sugars, and added sugars.
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Assessment method [1]
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Timepoint [1]
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10-week follow up
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Primary outcome [2]
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The association between carbon and nitrogen stable isotope ratios in hair and self-reported dietary intakes of total sugars, free sugars, and added sugars.
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Assessment method [2]
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Timepoint [2]
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10-wk follow up
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Secondary outcome [1]
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The association between self-reported dietary intakes of total sugars, free sugars, and added sugars measured using a short FFQ, a sugars-specific FFQ, and a 7d diet record.
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Assessment method [1]
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Timepoint [1]
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10-wk follow up
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Eligibility
Key inclusion criteria
Healthy adults, aged 18-65 years, and a BMI < 27 kg/m2
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Minimum age
18
Years
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Maximum age
65
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
None
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Study design
Purpose
Screening
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Duration
Longitudinal
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Selection
Random sample
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Timing
Both
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Statistical methods / analysis
Power calculations indicate that 100 participants should be sufficient to detect a correlation of 0.3 between free sugars intakes, estimated from weighed diet records, and d13C. We will allow for a drop out rate of 20% giving a sample size of 120 subjects.
Seven recording days are required to capture habitual dietary intake of participants. Diet records will be analysed for major nutrients including free and total sugars using Kai-calculator software and the New Zealand Food Composition Database, and the average daily intake for energy, macronutrients, free and added sugars, and dietary fibre will be calculated.
Relative validity of the d13Cversus mean intakes of free sugars estimated weighed diet records (7 days total per person) will be assessed using Spearman correlation coefficients (SCC). Bland-Altman analyses will be performed to assess the strength of agreement between the d13C and 7d weighed diet record in measuring sugars intakes. Repeated measures two-way ANOVA will be used to assess the between-subject effect and to compare bulk d13C in various tissues at each monthly time point with adjustment for potential confounders including age, sex, body size, hair thickness, physical activity level and total energy intake.
Correlation coefficients (r) measured between nutritional biomarkers and reported dietary intake vary widely in research trials, with typical r values ranging from 0.03-0.70, with a mean of 0.39. These correlations may be interpreted as weak to modest, as they may underestimate the true validity of biomarkers due to the inherent inaccuracy of self-reported dietary intake measures. R values of 0.5-0.7 are typically considered acceptable as a precision in dietary validation studies.
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
20/11/2016
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Actual
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Date of last participant enrolment
Anticipated
1/03/2017
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Actual
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Date of last data collection
Anticipated
24/04/2017
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Actual
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Sample size
Target
120
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Accrual to date
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Final
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Recruitment outside Australia
Country [1]
8263
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New Zealand
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State/province [1]
8263
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Otago
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Funding & Sponsors
Funding source category [1]
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Government body
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Name [1]
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Health Research Council of New Zealand
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Address [1]
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Auckland Office:
Level 3, 110 Stanley St, Grafton, Auckland 1010
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Country [1]
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New Zealand
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Primary sponsor type
Government body
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Name
Health Research Council of New Zealand
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Address
Office in Auckland:
Level 3, 110 Stanley St, Grafton, Auckland 1010
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Country
New Zealand
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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]
293459
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Country [1]
293459
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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University of Otago Human Ethics Committee (Health)
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Ethics committee address [1]
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The Academic Committees Office PO Box 56 Dunedin 9016 New Zealand
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Ethics committee country [1]
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New Zealand
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Date submitted for ethics approval [1]
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10/10/2016
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Approval date [1]
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09/11/2016
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Ethics approval number [1]
296023
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Summary
Brief summary
Restriction of free sugars is an almost universal recommendation despite a relatively high degree of inconsistency in the evidence base linking free sugars with health risks. Food industry continues to debate the relevance of sugar reduction strategies thus ongoing research to investigate the effects of sugar on population health is needed. Nutritional studies typically assess free sugars intakes using self-report methods which are subject to substantial misreporting thus observed diet-disease relationships are frequently obscured. Previous research in the U.S. has shown that carbon stable isotope ratios could be used as a objective measure of intakes of free sugars. The carbon stable isotope composition of a sweetener reflects the isotopic composition of the plant from which it originated. In NZ the majority of sweeteners are derived from sugar cane which has a distinctive d13C signature compared with other plant-derived foods and preliminary research has shown that d13C values in various tissues correlates with consumption of sugar-sweetened foods and drinks. For the validation current study, we will recruit 120 volunteers, measure the carbon stable isotopes in blood and hair samples as biomarkers of free sugars intakes and validate these markers against intakes of free sugars estimated by conventional dietary assessment methods including a general short food frequency questionnaire (FFQ), a sugars-specific FFQ and a 7d weighed diet record.
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Trial website
None
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Trial related presentations / publications
None
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Public notes
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Attachments [1]
1130
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/AnzctrAttachments/371554-Study Protocol.docx
(Protocol)
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Contacts
Principal investigator
Name
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Dr Lisa Te Morenga
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Address
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Department of Human Nutrition
University of Otago
PO Box 56
Dunedin 9016
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Country
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New Zealand
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Phone
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+6434793978
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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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Lisa Te Morenga
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Address
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Department of Human Nutrition
University of Otago
PO Box 56
Dunedin 9016
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Country
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New Zealand
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Phone
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+6434793978
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Fax
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Email
69275
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[email protected]
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Contact person for scientific queries
Name
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Lisa Te Morenga
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Address
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Department of Human Nutrition
University of Otago
PO Box 56
Dunedin 9016
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Country
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New Zealand
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Phone
69276
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+6434793978
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Fax
69276
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Email
69276
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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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