Juuti Anna-Kaisa, Hiltunen Liisa, Rajala Ulla, Laakso Mauri, Härkönen Pirjo, Hedberg Pirjo, Ruokonen Aimo, Keinänen-Kiukaanniemi Sirkka, Läärä Esa
Institute of Health Sciences, University of Oulu, P.O. Box 5000, FIN - 90014 Oulu, Finland.
Diabetes Res Clin Pract. 2008 Jun;80(3):477-82. doi: 10.1016/j.diabres.2008.02.002. Epub 2008 Mar 18.
We examined the associations between glucose tolerance and sleep apnea in a 57-year-old unselected urban population in Northern Finland, taking into account some determinants of sleep apnea.
A population-based health survey was conducted in a population of 555 women and 438 men born in 1945 and living in the city of Oulu in 2001. Glucose status was determined with a standard 2-h oral glucose tolerance test. Sleeping disorders were recorded on the Epworth Sleepiness Scale (ESS) and a questionnaire including 5 questions about sleeping and snoring. The Zung Self-rated Depression Scale (ZSDS) was used to assess depressive symptoms. Logistic regression was used in the estimation of odds ratios (OR) for the associations of sleep apnea with the covariates.
Sleep apnea was found to be associated with type 2 diabetes (OR 2.56, 95% CI 1.20-5.47) and newly diagnosed type 2 diabetes (OR 2.42 95% CI 1.01-5.82), but the estimated association with impaired glucose regulation (IGR) was coupled with a wide margin of error (OR 0.91, 95% CI 0.43-1.93) when adjusted for the following covariates: gender, current smoking, hypertension, hs-CRP, physical activity, waist circumference, and Zung depression scale.
There seems to be a positive association between sleep apnea and type 2 diabetes, and even with newly diagnosed type 2 diabetes, but we could not establish an association with IGR.
我们在芬兰北部一个未经过筛选的57岁城市人群中研究了糖耐量与睡眠呼吸暂停之间的关联,并考虑了一些睡眠呼吸暂停的决定因素。
对555名女性和438名男性进行了一项基于人群的健康调查,这些人均出生于1945年,于2001年居住在奥卢市。通过标准的2小时口服葡萄糖耐量试验确定血糖状态。使用爱泼华嗜睡量表(ESS)和一份包含5个关于睡眠和打鼾问题的问卷记录睡眠障碍。使用zung自评抑郁量表(ZSDS)评估抑郁症状。采用逻辑回归估计睡眠呼吸暂停与协变量之间关联的比值比(OR)。
发现睡眠呼吸暂停与2型糖尿病(OR 2.56,95%可信区间1.20 - 5.47)和新诊断的2型糖尿病(OR 2.42,95%可信区间1.01 - 5.82)相关,但在对以下协变量进行调整后,估计的与糖调节受损(IGR)的关联存在较大误差范围(OR 0.91,95%可信区间0.43 - 1.93):性别、当前吸烟状况、高血压、高敏C反应蛋白、身体活动、腰围和zung抑郁量表。
睡眠呼吸暂停与2型糖尿病之间似乎存在正相关,甚至与新诊断的2型糖尿病也相关,但我们未能证实其与IGR之间存在关联。