Principal Investigator: Professor Mike Trenell
Department: Institute of Cellular Medicine
Institution: Newcastle UniversityTags: 12184, Lifestyle behaviours, Measurement, Type 2 diabetes
1a: Many lifestyle behaviours are associated with chronic disease, including
Type-2 diabetes. Regular engagement in physical activity reduces risk
whereas sedentary behaviour and sleep restriction / elongation increase
risk. Questionnaires and accelerometry are commonly used to measure
physical activity, sedentary behaviour and sleep patterns at a population
wide level. We will use these measures to observe the association between
physical activity, sedentary behaviour and sleep by self-report and
accelerometry in people with Type 2 diabetes on a large scale. When data
becomes available we will measure the impact of these lifestyle behaviours
as well as fitness, on glycaemic control.
1b: Chronic disease, including Type 2 diabetes poses a serious financial,
personal and societal threat to the UK, with incidence rates continually
rising. Evidence suggests that lifestyle behaviour modification could
prevent the majority of Type 2 diabetes cases. This research will help us to
establish the importance of physical activity, sedentary behaviours and
sleep as lifestyle mediators in Type 2 diabetes prevention and treatment at
a population wide level. Establishing the discrepancy between subjective
and objective methods on a large scale will provide evidence for future
lifestyle interventions, which will move towards better care for Type 2
1c: Standard epidemiological case control techniques will be employed to
explore physical activity, sedentary behaviour and sleep in patients with
Type 2 diabetes (cases) and those without (controls). Differences in selfreport
and device measured (accelerometry) will be measured in
participants when both sets of data are available.
When biomarker data and fitness data is available we will look at
associations between glucose control (HbA1c and glucose) and levels of
fitness, physical activity, sedentary behaviour and sleep. We require repeat
assessment data to enable us to do a longitudinal analysis on the impact of
physical activity on chronic disease risk.
1d: We require data (not samples) for the full cohort.
We will then ourselves identify subgroups for analysis of lifestyle variables,
initially focussing on individuals with a diagnosis of Diabetes above the age
of 35 years, excluding those who took insulin within their first year, will be
included along with 4 controls per case.
Prospective data will also be requested.