Quantifying the effects of sleep on cardiovascular health risk factors: A population analysis using UK biobank data
Principal Investigator: Dr Alexandra Hanlon
Approved Research ID: 16153
Approval date: January 2nd 2017
The aims of the proposed research are: 1.To quantify the association between sleep duration and chronotype with each of the seven AHA heart health metrics (dietary intake, physical activity, tobacco use, body weight, glucose, cholesterol, blood pressure), and cardiac function. 2. To examine the effects of sleep duration and chronotype with each of the seven AHA heart health metrics and cardiovascular function across two time points. 3. To identify the moderating effects of age, sex, race, education, shift-work and residence on the relationship between sleep and each of the seven AHA heart health metrics and cardiovascular function. The proposed research meets the UK Biobank purpose of improving the prevention, diagnosis and treatment of a wide range of serious and life-threatening illnesses. Specifically, the current study will quantify the effects of sleep duration and chronotype on heart health across time. Our central hypothesis is that sufficient sleep duration and early chronotype will be predictive of optimal levels of the seven cardiovascular risk factors of physical activity, dietary intake, tobacco use, glucose, cholesterol, body mass index, and blood pressure as defined by the American Heart Association. The proposed study is a two-point longitudinal investigation of the association between sleep duration and chronotype with the seven AHA heart health metrics (dietary intake, physical activity, tobacco use, body weight, glucose, cholesterol, blood pressure). Actigraph verified data on approximately 80,000 adults aged 40-69 years at a baseline and 5-year follow-up timepoint will be used. Multi-level structural equation modeling will be used to quantify the temporal relationship between sleep behavior and heart health. The approximate number to be included is 80,000 participants. This sub-set will be the participants for whom actigraph data for sleep and physical activity can be obtained. Updated 05/08/2016 by the Access Team: `We don't want to restrict the data. We would like information on those with and without the accelerometer.? - data for the whole cohort requested (which includes the 100,000 with accelerometer data (not 80,000 based on any restrictions) as well as the 400,000 without.