Please note that the copy function is not enabled for this field.
If you wish to
modify
existing outcomes, please copy and paste the current outcome text into the Update field.
LOGIN
CREATE ACCOUNT
LOGIN
CREATE ACCOUNT
MY TRIALS
REGISTER TRIAL
FAQs
HINTS AND TIPS
DEFINITIONS
Trial Review
The ANZCTR website will be unavailable from 1pm until 3pm (AEDT) on Wednesday the 30th of October for website maintenance. Please be sure to log out of the system in order to avoid any loss of data.
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this
information for consumers
Download to PDF
Trial registered on ANZCTR
Registration number
ACTRN12609000043235
Ethics application status
Approved
Date submitted
24/06/2008
Date registered
20/01/2009
Date last updated
4/07/2012
Type of registration
Retrospectively registered
Titles & IDs
Public title
Can Calcium and Vitamin D reduce diabetes risk in people at high risk?
Query!
Scientific title
Impact of vitamin D and calcium supplementation on the metabolic profile of glucose intolerant and vitamin D deficient obese subjects: a double blind, randomised and controlled trial
Query!
Universal Trial Number (UTN)
Query!
Trial acronym
Query!
Linked study record
Query!
Health condition
Health condition(s) or problem(s) studied:
Pre-diabetes (impaired fasting glucose or impaired glucose tolerance)
3305
0
Query!
Obesity
3306
0
Query!
Vitamin D deficiency
3307
0
Query!
Condition category
Condition code
Metabolic and Endocrine
3469
3469
0
0
Query!
Diabetes
Query!
Intervention/exposure
Study type
Interventional
Query!
Description of intervention(s) / exposure
The treatment group will receive both calcium carbonate tablets 1200 mg daily and cholecalciferol tablets 2,000 IU daily for 6 months. Cholecalciferol will be increased to 4,000 IU daily after 2 months if the serum 25-hydroxyvitamin D levels are less than 75 nmol/L.
Query!
Intervention code [1]
3046
0
Treatment: Drugs
Query!
Intervention code [2]
3047
0
Prevention
Query!
Comparator / control treatment
The control group will receive 2 pills of calcium placebo (sugar pills) and 2 pills of vitamin D placebo tablets (sugar pills) for the first 2 months. The number of vitamin D placebo tablets will increase to 4 pills per day for the rest of the study (4 months) whereas the patients will continue to take 2 pills per day of calcium placebo tablets.
Query!
Control group
Placebo
Query!
Outcomes
Primary outcome [1]
4372
0
Determine if calcium and vitamin D reduces insulin resistance assessed by homeostasis model assessment of insulin resistance(HOMA-IR)
Query!
Assessment method [1]
4372
0
Query!
Timepoint [1]
4372
0
Baseline and 6 months
Query!
Primary outcome [2]
4373
0
Determine if calcium and vitamin D improve glucose-stimulated insulin secretion(insulinogenic index and deconvolution analysis of C-peptide after a glucose load)
Query!
Assessment method [2]
4373
0
Query!
Timepoint [2]
4373
0
Baseline and 6 months
Query!
Primary outcome [3]
4374
0
Determine if calcium and vitamin D improve beta-cell function (disposition index)
Query!
Assessment method [3]
4374
0
Query!
Timepoint [3]
4374
0
Baseline and 6 months
Query!
Secondary outcome [1]
7377
0
Determine if vitamin D reduces biochemical markers of inflammation associated with increased cardiovascular risk (serum high-sensitive C-reactive protein, fibrinogen, Interleukin-6, Tumor necrosis factor alpha)
Query!
Assessment method [1]
7377
0
Query!
Timepoint [1]
7377
0
Baseline and 6 months
Query!
Secondary outcome [2]
7378
0
Determine if vitamin D reduces gamma-carboxylation of osteocalcin and increases adiponectin by comparing serum adiponectin levels and the decarboxylated form of osteocalcin before and after treatment
Query!
Assessment method [2]
7378
0
Query!
Timepoint [2]
7378
0
Baseline and 6 months
Query!
Secondary outcome [3]
7379
0
Determine if calcium and vitamin D improve blood pressure.
Query!
Assessment method [3]
7379
0
Query!
Timepoint [3]
7379
0
Blood pressure: 0, 2 and 6 months
Query!
Secondary outcome [4]
7380
0
Determine whether vitamin D requirements are influenced by fat mass assessed by dual X-Ray absorptiometry (DXA)
Query!
Assessment method [4]
7380
0
Query!
Timepoint [4]
7380
0
Baseline
Query!
Secondary outcome [5]
8933
0
Determine if calcium and vitamin D improve the lipid profile (serum total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides).
Query!
Assessment method [5]
8933
0
Query!
Timepoint [5]
8933
0
Baseline and 6 months
Query!
Eligibility
Key inclusion criteria
Vitamin D deficiency; overweight or obese as defined by a body-mass index (BMI) between 25-35 kg/m2; impaired fasting glucose or impaired glucose tolerance confirmed with a 75g 2h oral glucose tolerance test (OGTT).
Query!
Minimum age
18
Years
Query!
Query!
Maximum age
No limit
Query!
Query!
Sex
Both males and females
Query!
Can healthy volunteers participate?
Yes
Query!
Key exclusion criteria
Pregnancy; Breast-feeding; Renal insufficiency; Cirrhosis; Malabsorption; Hypercalcemia; Hypercalciuria; History of nephrolithiasis; Previous non-traumatic fractures; Active or chronic inflammatory disease;Medications known to affect vitamin D, calcium or bone metabolism over the last 3 months; Pharmacological treatment for obesity or medications known to alter glucose metabolism over the last 3 months; Bariatric surgery planned in the next six months or patients who had undergone bariatric surgery in the past; Commenced regular physical activity (more than 3 times/week) in the last 3 months; More than a 5% change in weight in the last 3 months.
Query!
Study design
Purpose of the study
Prevention
Query!
Allocation to intervention
Randomised controlled trial
Query!
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Randomization will be performed by a person external to the study. Allocation will involve contacting the holder of the allocation schedule who will be “off-site”.
Query!
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Subjects will be randomly assigned to one of two groups, with stratification according to sex, age (< or >50 years of age) and BMI (< or >30 kg/m2). We will use simple randomisation by using a randomisation table created by a computer software.
Query!
Masking / blinding
Blinded (masking used)
Query!
Who is / are masked / blinded?
Query!
Query!
Query!
Query!
Intervention assignment
Parallel
Query!
Other design features
Query!
Phase
Phase 4
Query!
Type of endpoint/s
Efficacy
Query!
Statistical methods / analysis
Query!
Recruitment
Recruitment status
Recruiting
Query!
Date of first participant enrolment
Anticipated
5/01/2009
Query!
Actual
Query!
Date of last participant enrolment
Anticipated
Query!
Actual
Query!
Date of last data collection
Anticipated
Query!
Actual
Query!
Sample size
Target
160
Query!
Accrual to date
Query!
Final
Query!
Recruitment in Australia
Recruitment state(s)
Query!
Recruitment postcode(s) [1]
907
0
3011
Query!
Recruitment postcode(s) [2]
908
0
3000
Query!
Recruitment postcode(s) [3]
909
0
3001
Query!
Recruitment postcode(s) [4]
910
0
3002
Query!
Recruitment postcode(s) [5]
911
0
3003
Query!
Recruitment postcode(s) [6]
912
0
3010
Query!
Recruitment postcode(s) [7]
913
0
3050
Query!
Recruitment postcode(s) [8]
914
0
3051
Query!
Recruitment postcode(s) [9]
915
0
3052
Query!
Recruitment postcode(s) [10]
916
0
3205
Query!
Recruitment postcode(s) [11]
917
0
3207
Query!
Recruitment postcode(s) [12]
918
0
8001
Query!
Funding & Sponsors
Funding source category [1]
3515
0
University
Query!
Name [1]
3515
0
Faculty of Medicine, the University of Melbourne (FRC Research Grant)
Query!
Address [1]
3515
0
Level 6, Medical Building, Grattan Street
Parkville VIC 3010
Query!
Country [1]
3515
0
Australia
Query!
Funding source category [2]
4349
0
Charities/Societies/Foundations
Query!
Name [2]
4349
0
Diabetes Australia (DART grant)
Query!
Address [2]
4349
0
Office of Diabetes Research
GPO BOX 3156
CANBERRA ACT 2601
Query!
Country [2]
4349
0
Australia
Query!
Primary sponsor type
Individual
Query!
Name
Professor Peter Ebeling
Query!
Address
Department of Medicine (RMH/WH)
Cnr Eleanor and Marion Streets
Footscray VIC 3011
Query!
Country
Australia
Query!
Secondary sponsor category [1]
3155
0
Individual
Query!
Name [1]
3155
0
Dr Claudia Gagnon
Query!
Address [1]
3155
0
Department of Medicine (RMH/WH)
Cnr Eleanor and Marion Streets
Footscray VIC 3011
Query!
Country [1]
3155
0
Australia
Query!
Other collaborator category [1]
315
0
Individual
Query!
Name [1]
315
0
Dr Zhong X Lu
Query!
Address [1]
315
0
103 Victoria Pde
Collingwood VIC 3066
Query!
Country [1]
315
0
Australia
Query!
Other collaborator category [2]
316
0
Individual
Query!
Name [2]
316
0
A/Professor Robin Daly
Query!
Address [2]
316
0
Department of Medicine (RMH/WH)
Cnr Eleanor and Marion Streets
Footscray VIC 3011
Query!
Country [2]
316
0
Australia
Query!
Other collaborator category [3]
317
0
Individual
Query!
Name [3]
317
0
A/Professor Andre Carpentier
Query!
Address [3]
317
0
3001, 12th Ave North
Fleurimont, Quebec, Canada
J1H 5N4
Query!
Country [3]
317
0
Canada
Query!
Ethics approval
Ethics application status
Approved
Query!
Ethics committee name [1]
5550
0
Human Research Ethics Committee of Melbourne Health
Query!
Ethics committee address [1]
5550
0
Research Directorate PO Royal Melbourne Hospital Parkville VIC 3050
Query!
Ethics committee country [1]
5550
0
Australia
Query!
Date submitted for ethics approval [1]
5550
0
21/11/2007
Query!
Approval date [1]
5550
0
21/05/2008
Query!
Ethics approval number [1]
5550
0
2007.270
Query!
Summary
Brief summary
Type 2 diabetes is Australia's fastest growing chronic disease. Simple strategies to prevent this disease at an early stage (pre-diabetes) in people at high risk are urgently needed. Recently, a lack of calcium and vitamin D has been associated with the development of diabetes. This 6-month study will determine if taking vitamin D and calcium supplements could decrease diabetes risk and cardiovascular risk factors in overweight or obese people with pre-diabetes who lack vitamin D. It will also increase our understanding of the mechanisms through which vitamin D and calcium alter diabetes and cardiovascular disease risk.
Query!
Trial website
Query!
Trial related presentations / publications
Query!
Public notes
Query!
Contacts
Principal investigator
Name
28698
0
Query!
Address
28698
0
Query!
Country
28698
0
Query!
Phone
28698
0
Query!
Fax
28698
0
Query!
Email
28698
0
Query!
Contact person for public queries
Name
11855
0
Dr Claudia Gagnon
Query!
Address
11855
0
Department of Medicine (RMH/WH)
Cnr Eleanor and Marion Streets
Footscray VIC 3011
Query!
Country
11855
0
Australia
Query!
Phone
11855
0
+61 3 8345 7117
Query!
Fax
11855
0
+61 3 9318 1157
Query!
Email
11855
0
[email protected]
Query!
Contact person for scientific queries
Name
2783
0
Professor Peter Ebeling
Query!
Address
2783
0
Department of Medicine (RMH/WH)
Cnr Eleanor and Marion Streets
Footscray VIC 3011
Query!
Country
2783
0
Australia
Query!
Phone
2783
0
+61 3 8345 6429
Query!
Fax
2783
0
+61 3 9318 1157
Query!
Email
2783
0
[email protected]
Query!
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.
Download to PDF