Rationale and design of a cross-sectional study to investigate and describe the chronotype of patients with type 2 diabetes and the effect on glycaemic control: the CODEC study

被引:26
作者
Brady, Emer M. [1 ]
Hall, Andrew P. [2 ]
Baldry, Emma [1 ]
Chatterjee, Sudesna [3 ]
Daniels, Lois J. [1 ]
Edwardson, Charlotte [3 ]
Khunti, Kamlesh [3 ]
Patel, Mubarak I. [3 ]
Henson, Joseph J. [3 ]
Rowlands, Alex [3 ]
Smith, Alice C. [4 ,5 ]
Yates, Thomas [3 ]
Davies, Melanie J. [3 ]
机构
[1] Univ Hosp Leicester NHS Trust, Leicester Diabet Ctr, Leicester, Leics, England
[2] Univ Hosp Leicester NHS Trust, Hanning Sleep Lab, Leicester, Leics, England
[3] Univ Leicester, Diabet Res Ctr, Leicester, Leics, England
[4] Univ Hosp Leicester NHS Trust, John Walls Renal Unit, Leicester, Leics, England
[5] Univ Leicester, Dept Infect Immun & Inflammat, Leicester, Leics, England
来源
BMJ OPEN | 2019年 / 9卷 / 11期
关键词
SLEEP DURATION; GLUCOSE REGULATION; SOCIAL JETLAG; RISK-FACTOR; DISTRESS; SCORE;
D O I
10.1136/bmjopen-2018-027773
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction A person's chronotype is their entrained preference for sleep time within the 24 hours clock. It is described by the well-known concept of the 'lark' (early riser) and 'owl' (late sleeper). Evidence suggests that the 'owl' is metabolically disadvantaged due to the standard organisation of our society which favours the 'lark' and places physiological stresses on this chronotype. The aim of this study is to explore cardiometabolic health between the lark and owl in a population with an established metabolic condition - type 2 diabetes. Methods This cross-sectional, multisite study aims to recruit 2247 participants from both secondary and primary care settings. The primary objective is to compare glycaemic control between late and early chronotypes. Secondary objectives include determining if late-chronotype is associated with poorer cardiometabolic health and other lifestyle factors, including well-being, compared with early-chronotype; describing the prevalence of the five different chronotypes in this cohort and examining the trends in glycaemic control, cardiometabolic health, well-being and lifestyle factors across chronotype. Analysis The primary outcome (glycated haemoglobin (HbA1c)), linear regression analysis will compare HbA1c between early and late chronotypes, with and without adjustment for confounding variables. Chronotype will be modelled as a categorical variable with all five levels (from extreme-morning to extreme-late type), and as a continuous variable to calculate p for trend across the five categories. A number of models will be created; unadjusted through to adjusted with age, sex, ethnicity, body mass index, duration of diabetes, family history of diabetes, current medication and dietary habits. All secondary outcomes will be analysed using the same method.
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