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Which aspects of sleep are associated with heart disease among UK adults? An analysis of self-reported data from the Understanding Society cohort study. Tharmakulasingam M, McNaughton T, Vaiyani O, Campbell F on behalf of the Understanding Society Sleep Project (USocSP)1 Leeds Institute of Genetics Health and Therapeutics, University of Leeds
Background and Objectives. The role of sleep in the aetiology of heart disease has been the focus of many studies over the past two decades, with increasing interest in the potential impact of poor quality, disturbed and/or short sleep on heart disease. There has also been a diversification in the measurement of sleep with a growing range of reliable self-reported sleep measures. The aim of the present study was to conduct a cross-sectional analysis of a nationally representative UK cohort (Understanding Society; USoc) to examine associations between a range of sleep measures and a range of heart conditions. Methods. Data from the first wave (Wave A) of USoc were analysed using multivariate logistic regression to explore the relationship between four separate self-reported sleep measures (sleep duration; sleep quality; sleep disturbance due to coughing/snoring; and trouble falling asleep within 30 minutes) and self-reported diagnoses of four heart conditions (angina; congestive heart failure, CHF; coronary heart disease, CHD; and myocardial infarction, MI). Using a directed acyclic graph (see Figure), four covariates (namely: age; socioeconomic status; body mass index; and psychological wellbeing) were identified as the minimally sufficient set of variables required to adjust for confounding. 1The
USocSP comprised: Arwa Al-Robeye, Samin Amin, Natasha Begum, Yena Cho, Camilla Davies, Jennifer Day, Jake Dewhurst, Mathew Duke, Nicholas Fincham, Amber Garnish, Misha Gaur, Nicola Haresceugh, Andrea Idisi, Katherine Lloyd Jones, Ben Marriott, Emily Moore, Arish Noshirwani, Ricky Page, Emily Poyser, Kieran Purchase, Clare Richards, Joe Roscamp, Salomon Scheepers, Harriet Wilson, Georgina Blakey, Laura Brooke, Christina Hitchen, Hannah Panayiotou, Anna R Weighall, Ian Kellar, Graham R Law, Eleanor M Scott and George TH Ellison.
All ages
University of Leeds Medical School - Leeds LS2 9JT www. http://medhealth.leeds.ac.uk/homepage/136/time
p
1.08 (0.66,1.78) 1.00 1.23 (0.99,1.55)
0.755
0.61 (0.06,5.77) 1.00
0.662
0.071
colinear
-
1.42 (1.15,1.76) 1.00
0.001
colinear
1.75 (1.44,2.12) 1.00
Background and Objectives. The role of sleep in the aetiology of heart disease has been the focus of many studies over the past two decades, with increasing interest in the potential impact of poor quality, disturbed and/or short sleep on heart disease. There has also been a diversification in the measurement of sleep with a growing range of reliable self-reported sleep measures. The aim of the present study was to conduct a cross-sectional analysis of a nationally representative UK cohort (Understanding Society; USoc) to examine associations between a range of sleep measures and a range of heart conditions. Methods. Data from the first wave (Wave A) of USoc were analysed using multivariate logistic regression to explore the relationship between four separate self-reported sleep measures (sleep duration; sleep quality; sleep disturbance due to coughing/snoring; and trouble falling asleep within 30 minutes) and self-reported diagnoses of four heart conditions (angina; congestive heart failure, CHF; coronary heart disease, CHD; and myocardial infarction, MI). Using a directed acyclic graph (see Figure), four covariates (namely: age; socioeconomic status; body mass index; and psychological wellbeing) were identified as the minimally sufficient set of variables required to adjust for confounding. 1The
USocSP comprised: Arwa Al-Robeye, Samin Amin, Natasha Begum, Yena Cho, Camilla Davies, Jennifer Day, Jake Dewhurst, Mathew Duke, Nicholas Fincham, Amber Garnish, Misha Gaur, Nicola Haresceugh, Andrea Idisi, Katherine Lloyd Jones, Ben Marriott, Emily Moore, Arish Noshirwani, Ricky Page, Emily Poyser, Kieran Purchase, Clare Richards, Joe Roscamp, Salomon Scheepers, Harriet Wilson, Georgina Blakey, Laura Brooke, Christina Hitchen, Hannah Panayiotou, Anna R Weighall, Ian Kellar, Graham R Law, Eleanor M Scott and George TH Ellison.
All ages
University of Leeds Medical School - Leeds LS2 9JT www. http://medhealth.leeds.ac.uk/homepage/136/time
p
1.08 (0.66,1.78) 1.00 1.23 (0.99,1.55)
0.755
0.61 (0.06,5.77) 1.00
0.662
0.071
colinear
-
1.42 (1.15,1.76) 1.00
0.001
colinear
1.75 (1.44,2.12) 1.00
