Not available
ACTRN12620000525987
Prevention
Not Applicable
University,Monash University
Ms Stephanie Cowan
Reduction in subclinical inflammation is a potential target for chronic disease prevention, and pro-inflammatory effects of foods are observed following consumption of a single high fat meal. However, there is no consensus regarding inflammatory mediators that best characterise postprandial inflammatory responses. There are also few studies which account for the complex nutritional matrix that exists at mealtimes. Therefore, this study aims to identify whether plasma IL-6, IL-1ß, TNF-a and IL-10 .... Read more
Eligible participants were men > 50 and < 75 years or post-menopausal women, with a body mass index (BMI) > 25 kg/m2.
Diagnosis of a chronic disease (such as CVD or T2DM), known allergies/intolerances to study foods, loss of > 10% total body weight in the 6 months preceding the study, smokers, history of drug or alcohol addiction, and use of anti-inflammatory medications such as aspirin, steroids or non-steroidal anti-inflammatory drugs.
No
Sample Size 12
Min. age 50 Years
Max. age 75 Years
Sex Both males and females
Condition category Postprandial inflammation
Condition code Diet and Nutrition , Metabolic and Endocrine
Intervention code Lifestyle
The study uses a randomised, controlled, cross over design where participants are randomised to one of three meal orders. Each participant will attend 1 screening visit and three testing visits, with a washout period between testing visits of no less than 1 week. Screening visit (x 1): Participants will have their height, weight, waist circumference and blood pressure measured. Eligible participants will be given a physical activity questionnaire (IPAQ), a 3-day food diary, and two questionnaire .... Read more
Control group Active
As described in the section 'Description of intervention(s) / exposure', all three test meals (control and intervention) assessments are identical. The control meal (pro-inflammatory meal), a cheese and bacon croissant, is matched for energy against the anti-inflammatory meal but otherwise has a vastly different nutritional composition (2.3 MJ, with 19% energy from carbohydrate (2 g fibre), 64% energy from fat (20 g saturates) and 17% energy from protein).
Outcome: Plasma IL-6 (incremental area under the curve) will be assessed from blood samples (venous blood) after all three meals.Timepoint: Five hour IL-6 iAUC will be calculated from venous blood samples at six time points (0, 60, 120, 180, 240, 300 m) after all three test meals. Calculation of the iAUC takes into account all time points.
Outcome: Plasma IL-1ß (incremental area under the curve) will be assessed from blood samples (venous blood) after all three test meals. Timepoint: Five hour IL-1ß iAUC will be calculated from venous blood samples at six time points (0, 60, 120, 180, 240, 300 m) after all three test meals. Calculation of the iAUC takes into account all time points.
Outcome: Plasma TNF-a (incremental area under the curve) will be assessed from blood samples (venous blood) after all three test meals. Timepoint: Five hour TNF-a iAUC will be calculated from venous blood samples at six time points (0, 60, 120, 180, 240, 300 m) after all three test meals. Calculation of the iAUC takes into account all time points.
yes
Only individual data underlying published results will be shared and this data will only de-identified data will be shared.
Data will be made available immediately following publication and there is no end date.
We will only share this data with researchers who provide a methodologically sound proposal for accessing the data and this will be assessed on a case-by-case basis at the discretion of the research team.
There is no limit to the types of analyses that can be undertaken with shared data.