Publication type
Conference Paper
Series Number
6
Series
Annual National ATRIUM Conference
Authors
Publication date
February 22, 2014
Summary:
Background: Recent studies have shown sleep of a poor quality
and short duration to be a risk factor in Type 2 diabetes. The current
study of the nationally representative Understanding Society (USoc)
cohort aims to distinguish an association between four discrete sleep
variables and self-reported diabetes.
Methods: Four self-reported sleep measures (sleep duration;
sleep onset latency; sleep quality; night time awakening) and
self-reported diagnosis of diabetes were analysed from the first wave of
USoc using multivariate logistic regression. A directed acyclic graph
identified ten covariates (age, sex, ethnicity, BMI, alcohol intake,
nutrition, exercise, smoking, highest qualification, profession and
technology usage) that were the minimum amount of variables required to
adjust for confounding.
Results: Comprehensive data was available for 23,214
participants (mean age=46.4; ♂:♀=45.1:54.9). Following adjustment, no
significant association between sleep duration or sleep onset latency
and diabetes was identified. However, participants reporting “fairly
bad” sleep quality had 1.39 (95%CI:1.13,1.70) the odds of having
reported diabetes and those reporting night-time awakening as “more than
once most nights” had 1.37 (95%CI:1.12,1.68) the odds of having
reported diabetes.
Discussion: Analysis suggests sleep quality and night-time
awakening are a more important risk factor for diabetes than sleep
duration. The main limitation of the study is that results are based on
cross-sectional analysis of self-reported diagnostic data. Further
longitudinal analyses need to be conducted using blood glucose and HbA1c
data once these have been released in the next wave of data.
Conclusion: Self-reported sleep quality and night time awakening may be better indicators of diabetes risk than sleep duration.
Subject
Link
http://www.cambridgemedicine.org/article/doi/10.7244/cmj-1394708353
#522635