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Trial registered on ANZCTR
Registration number
ACTRN12618000322235
Ethics application status
Not required
Date submitted
7/02/2018
Date registered
5/03/2018
Date last updated
5/03/2018
Type of registration
Retrospectively registered
Titles & IDs
Public title
The relationship between sugar-sweetened beverage consumption and alcoholic beverage consumption in Australian adults
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Scientific title
The association between sugar-sweetened beverage consumption and alcoholic beverage consumption in Australian adults
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Secondary ID [1]
293982
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None
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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
306498
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Condition category
Condition code
Diet and Nutrition
305603
305603
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0
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Obesity
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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
The independent variable is the consumption of sugar-sweetened beverage.
The intake data were obtained using a computer-assisted, multiple-pass 24-hour recall based on the Automated Multiple-Pass Method (AMPM) developed by the Agricultural Research Service of the United States Department of Agriculture (USDA). The recall was divided into five phases. In the first phase the respondents provided a quick account of what foods and drinks they consumed from mid-night to mid-night on the day prior to the interview. Next a series of questions were used to prompt the respondent for commonly forgotten items such as snacks. Then the respondents reported the time and eating occasion for each reported food. After that, detailed information of the food and drinks reported in the previous phases was collected. A final probe was performed before the end of the 24-hour recall to prompt for missing items for the last time.
Food and beverage items consumed by the participants were categorized into major food groups based on the key ingredients of the food by the Australian Bureau of Statistics. In this analysis, sugar-sweetened beverages included fruit drinks, cordial/mixer, soft drinks, energy drinks, and other sweetened beverages.
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Intervention code [1]
300261
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Not applicable
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Comparator / control treatment
No control group
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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The primary dependent variable is the alcoholic beverage intake.
The intake data were obtained using a computer-assisted, multiple-pass 24-hour recall based on the Automated Multiple-Pass Method (AMPM) developed by the Agricultural Research Service of the United States Department of Agriculture (USDA). The recall was divided into five phases. In the first phase the respondents provided a quick account of what drinks they consumed from mid-night to mid-night on the day prior to the interview. Next a series of questions were used to prompt the respondent for commonly forgotten items. Then the respondents reported the time and occasion for each reported intake items. After that, detailed information of drinks reported in the previous phases was collected. A final probe was performed before the end of the 24-hour recall to prompt for missing items for the last time.
Beverage items consumed by the participants were categorized into major food groups based on the key ingredients by the Australian Bureau of Statistics. In this analysis, alcoholic beverages included beers, wines, spirits, cocktails and liqueurs.
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Assessment method [1]
304728
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Timepoint [1]
304728
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the total intake of alcoholic beverage in the 24 hours before the interview
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Secondary outcome [1]
342943
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Waist circumference.
It was measured by trained interviewers by holding the end of the tape at the appropriate point and asked the respondent to turn around until the tape met, or asked the respondent to hold the end of the tape and walked around them until the tape met.
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Assessment method [1]
342943
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Timepoint [1]
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at the day of interview, which occured between 29/5/2011 to 9/6/2012.
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Eligibility
Key inclusion criteria
Usual residents of private dwellings in urban and rural areas of Australia, covering about 97% of the people living in Australia. Dietary data from those whose age was between 19 years old or above were included in this analysis.
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Minimum age
19
Years
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Maximum age
No limit
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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
Implausible dietary intake as determined by the Goldberg cut-off method, and respondents who did not consume any sugar-sweetened beverage or alcoholic beverage on the day of interview.
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Study design
Purpose
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Duration
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Selection
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Timing
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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
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Actual
29/05/2011
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Date of last participant enrolment
Anticipated
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Actual
9/06/2012
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Date of last data collection
Anticipated
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Actual
9/06/2012
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Sample size
Target
12366
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Accrual to date
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Final
12153
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Recruitment in Australia
Recruitment state(s)
ACT,NSW,NT,QLD,SA,TAS,WA,VIC
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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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Australian Government Department of Health and Ageing
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Address [1]
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Sirius Building, Furzer Street, Woden Town Centre, ACT 2606
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Country [1]
298613
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Australia
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Primary sponsor type
Individual
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Name
Dr. Jimmy Louie
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Address
5S-14, Kadoorie Biological Sciences Bldg,
The University of Hong Kong,
1 Pokfulam Road,
Pokfulam
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Country
Hong Kong
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Secondary sponsor category [1]
297773
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None
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Name [1]
297773
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Address [1]
297773
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Country [1]
297773
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Ethics approval
Ethics application status
Not required
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Ethics committee name [1]
299572
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Ethics committee address [1]
299572
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Ethics committee country [1]
299572
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Date submitted for ethics approval [1]
299572
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Approval date [1]
299572
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Ethics approval number [1]
299572
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Summary
Brief summary
Excess consumption of sugar-sweetened beverage (SSB) has been linked to obesity in adults. While efforts were made to reduce SSB consumption, there were concerns that this may lead to compensatory increase in consumption of other caloric nutrients, such as alcohol. This study aimed to assess the association between consumption of SSB and consumption of alcoholic beverage, as well as the effect of substituting SSB with alcoholic beverage on waist circumference.
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Trial website
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Trial related presentations / publications
Australian Bureau of Statistics, 2016, Australian Health Survey: Consumption of added sugars, 2011-12 , cat. no. 4364.0.55.011, viewed 16 June 2016. URL: http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/4364.0.55.011main+features12011-12
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Public notes
Ethics approval on the analysis regarding the association between sugar-sweetened beverage consumption and alcoholic beverage consumption was not required since it is a secondary analysis. The primary data of this survey was from the Australian Health Survey (AHS) 2011-13. This survey was carried out by the Australian Bureau of Statistics and aimed at providing governments, health researchers and the community with important clues about health problems and emerging issues in Australia today. For the detailed results, please visit: http://www.abs.gov.au/australianhealthsurvey
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Contacts
Principal investigator
Name
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Dr Jimmy Chun Yu Louie
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Address
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5S-14, Kadoorie Biological Sciences Building, The University of Hong Kong, 1 Pokfulam Road, Pokfulam.
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Country
80882
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Hong Kong
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Phone
80882
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+852 2299 0677
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Fax
80882
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Email
80882
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[email protected]
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Contact person for public queries
Name
80883
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Jimmy Chun Yu Louie
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Address
80883
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5S-14, Kadoorie Biological Sciences Building, The University of Hong Kong, 1 Pokfulam Road, Pokfulam.
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Country
80883
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Hong Kong
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Phone
80883
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+852 2299 0677
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Fax
80883
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Email
80883
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[email protected]
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Contact person for scientific queries
Name
80884
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Jimmy Chun Yu Louie
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Address
80884
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5S-14, Kadoorie Biological Sciences Building, The University of Hong Kong, 1 Pokfulam Road, Pokfulam.
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Country
80884
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Hong Kong
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Phone
80884
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+852 2299 0677
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Fax
80884
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Email
80884
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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
Is there a soft drink vs. alcohol seesaw? A cross-sectional analysis of dietary data in the Australian Health Survey 2011-12.
2020
https://dx.doi.org/10.1007/s00394-019-02084-4
N.B. These documents automatically identified may not have been verified by the study sponsor.
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