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The correlation between dietary intake and carotid intima media thickness in people with diabetes

A cross-sectional study to determine the dietary correlates of carotid intima media thickness in people with diabetes

Status
Completed
Phases
Unknown
Study type
Observational
Source
ANZCTR
Registry ID
ACTRN12612001052820
Enrollment
150
Registered
2012-10-03
Start date
2012-10-08
Completion date
2013-10-08
Last updated
2020-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

The primary aim of this cross-sectional study is to determine the dietary correlates of carotid intima media thickness. Carotid intima media thickness is a measure of early atherosclerosis. Identifying dietary components which correlate with carotid intima media thickness may help to develop dietary strategies to reduce atheresclerosis development.

Interventions

The aim of this cross-sectional study is to determine the correlation between dietary intake and carotid intima media thickness. Each participant will provide data at one timepoint only. Participants will complete the DQES (V2) food frequency questionnaire. A spot urine sample and a fasting serum sample will be collected. Ultrasound measurement of the carotid artery will be done to determine intima media thickness and carotid compliance and stiffness. Blood pressure will also be measured. Testin

The aim of this cross-sectional study is to determine the correlation between dietary intake and carotid intima media thickness. Each participant will provide data at one timepoint only. Participants will complete the DQES (V2) food frequency questionnaire. A spot urine sample and a fasting serum sample will be collected. Ultrasound measurement of the carotid artery will be done to determine intima media thickness and carotid compliance and stiffness. Blood pressure will also be measured. Testing will take approximately 1-1.5hours. The correlation between dietary intake of specific food and nutrients will be determined by multiple regression analysis.

Sponsors

University of South Australia
Lead SponsorUniversity

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Diagnosed type 1 or type 2 diabetes

Exclusion criteria

Cancer Unstable cardiovascular disease requiring active intervention such as CABG or stenting in the next 3-4 months Heart failure of any degree Significant renal impairment i.e. eGFR <30ml/min Liver disease of any degree

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026