Al Faker Mohammed, Wacquier Benjamin, Willame Hadrien, Point Camille, Dosogne Marjorie, Loas Gwenolé, Hein Matthieu
Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles, ULB, Brussels, Belgium.
Route de Lennik, 808-1070 Anderlecht, Belgium.
Sleep Biol Rhythms. 2022 Jan 28;20(2):219-228. doi: 10.1007/s41105-021-00359-0. eCollection 2022 Apr.
Given the few studies available in the literature, the aim of this study was to investigate the association between type 2 diabetes and major depression in a large sample of apnoeic individuals. Demographic and polysomnographic data from 395 apnoeic individuals recruited from the clinical database of the Erasme Hospital Sleep Laboratory were analysed. Only individuals with a diagnosis of type 2 diabetes according to the diagnostic criteria of the at admission were included in the "diabetes" group. Logistic regression analyses were used to study the association between type 2 diabetes and major depression in apnoeic individuals. The prevalence of type 2 diabetes was 19.7% in our sample of apnoeic individuals. After adjusting for major confounding factors, multivariate logistic regression analyses demonstrated that unlike remitted major depression and mild major depression, only moderate to severe major depression was significantly associated with higher likelihood of type 2 diabetes in apnoeic individuals. In our study, we found that moderate to severe major depression is significantly associated with type 2 diabetes in apnoeic individuals, which seems to justify more systematic screening and adequate therapeutic management of this psychiatric disorder to allow better glycaemic control in this subpopulation at high risk of diabetic micro/macrovascular complications.
The online version contains supplementary material available at 10.1007/s41105-021-00359-0.
鉴于文献中可用的研究较少，本研究的目的是在大量呼吸暂停个体样本中调查2型糖尿病与重度抑郁症之间的关联。对从伊拉斯谟医院睡眠实验室临床数据库招募的395名呼吸暂停个体的人口统计学和多导睡眠图数据进行了分析。“糖尿病”组仅纳入根据入院时的诊断标准被诊断为2型糖尿病的个体。采用逻辑回归分析来研究呼吸暂停个体中2型糖尿病与重度抑郁症之间的关联。在我们的呼吸暂停个体样本中，2型糖尿病的患病率为19.7%。在对主要混杂因素进行调整后，多变量逻辑回归分析表明，与缓解的重度抑郁症和轻度重度抑郁症不同，只有中度至重度重度抑郁症与呼吸暂停个体患2型糖尿病的较高可能性显著相关。在我们的研究中，我们发现中度至重度重度抑郁症与呼吸暂停个体的2型糖尿病显著相关，这似乎证明对这种精神障碍进行更系统的筛查和适当的治疗管理是合理的，以便在这个有糖尿病微血管/大血管并发症高风险的亚人群中实现更好的血糖控制。
在线版本包含可在10.1007/s41105-021-00359-0获取的补充材料。
