Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study

• Published in: Scientific reports 2019-10, Vol.9 (1), p.14276-9, Article 14276
• Main Authors: Xu, Chunrong, Zhang, Pan, Xiang, Quanyong, Chang, Guiqiu, Zhang, Ming, Zhang, Lei, Li, Ting, Qiao, Cheng, Qin, Yu, Lou, Peian
• Format: Article
• Language: English
• Subjects: 692/163/2743/137/773; 692/699/2743/137/773; Adult; Aged; Aged, 80 and over; Blood glucose; China - epidemiology; Diabetes; Diabetes mellitus; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - blood; Diabetes Mellitus, Type 2 - complications; Female; Glycated Hemoglobin A - analysis; Hemoglobin; Humanities and Social Sciences; Humans; Linear Models; Male; Middle Aged; multidisciplinary; Regression analysis; Science; Science (multidisciplinary); Sleep; Sleep Wake Disorders - blood; Sleep Wake Disorders - etiology
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-019-50814-9

We wanted to determine whether subjective sleep disturbance was associated with serum glycated hemoglobin (HbA1c) in people with type 2 diabetes mellitus. In total, 944 randomly-selected people with diabetes completed the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Participants’ glycaemia was assessed using HbA1c in March 2016 and September 2017. The PSQI score and the change in score(△PSQI), and the HbA1c and its change (△HbAlc) were analysed by sex and age (30–45, 46–60, 61–75, and 76–89 years). Associations between time point PSQI and △PSQI with static HbA1c and △HbA1c were analysed using multiple linear regression. The results showed subjective sleep disturbance among people with diabetes was not correlated with serum HbAlc (β coefficient = 0.032, P = 0.103). However, cross-sectional multiple linear regression showed the relationship was present in women (β coefficient = 0.163, P