B2573 - How to construct a healthy diet The combined effect of dietary patterns and eating architecture on cardiometabolic health - 24/05/2016

B number: 
B2573
Principal applicant name: 
Laura Johnson | University of Bristol (UK)
Co-applicants: 
Professor Debbie Lawlor, Professor Kate Tilling, Professor Andy Ness, Professor Julian Hamilton-Shield, Dr Kate Northstone, Dr Sam Leary
Title of project: 
How to construct a healthy diet: The combined effect of dietary patterns and eating architecture on cardiometabolic health
Proposal summary: 

Obesity, diabetes and heart disease collectively place an enormous burden on the health service. Losing those extra pounds once you’ve gained them is really hard, so prevention of weight gain is really important to stop health costs spiralling out of control. We’ve previously shown that a diet that is packed full of energy, fat and too low in fibre is associated with obesity in children and teenagers. It’s likely this type of diet is linked to diabetes and heart disease too, so we plan to look into that using information already collected combined with the 24+ clinics and new online records of food intake completed at 25+. As well as the type of food you eat the way that you eat in terms of the size, timing and frequency of eating occasions, could also be important for stopping too much weight gain. Furthermore, matching up your food intake to your internal metabolic clock may reduce the risk of diabetes and heart disease too. We will use the detailed reports of food intake at age 7, 10, 13 and 25 years to find out the exact time when eating happened to test whether the old mantra “Breakfast like a King, Lunch like a Prince, and Dine like a Pauper” is actually important for obesity and metabolic health. We’ll use these results to know more about how to construct a healthy diet on a personal level based on the combined effect of what, when and how much food is eaten.

Date proposal received: 
Tuesday, 24 November, 2015
Date proposal approved: 
Wednesday, 25 November, 2015
Keywords: 
Epidemiology, Diabetes, Hypertension, Obesity, Cardiovascular disease risk, Statistical methods, Dietary assessment, Biological samples -e.g. blood, cell lines, saliva, etc., Biomarkers - e.g. cotinine, fatty acids, haemoglobin, etc., Sleep, Statistical methods, Blood pressure, BMI, Cardiovascular, Environment - enviromental exposure, pollution, Genetics - e.g. epigenetics, mendelian randomisation, UK10K, sequencing, etc., Growth, Metabolic - metabolism, Nutrition - breast feeding, diet