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Interaction of sleep quality and sleep duration on impaired fasting glucose: a population-based cross-sectional survey in China

机译:睡眠质量和睡眠时间与空腹血糖受损的相互作用:基于中国人群的横断面调查

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Objectives To explore the interactions of sleep quality and sleep duration and their effects on impaired fasting glucose (IFG) in Chinese adults. Design Cross-sectional survey. Setting Community-based investigation in Xuzhou, China. Participants 15?145 Chinese men and women aged 18–75?years old who fulfilled the inclusion criteria. Primary and secondary outcome measures The Pittsburgh Sleep Quality Index was used to produce sleep quality categories of good, common and poor. Fasting blood glucose levels were assessed for IFG. Sleep duration was measured by average hours of sleep per night, with categories of 6, 6–8 and 8?h. The products of sleep and family history of diabetes, obesity and age were added to the logistic regression model to evaluate the addictive interaction and relative excess risk of interaction (RERI) on IFG. The attributable proportion (AP) of the interaction and the synergy index (S) were applied to evaluate the additive interaction of two factors. Bootstrap measures were used to calculate 95% CI of RERI, AP and S. Results The prevalence of IFG was greatest in those with poor sleep quality and short sleep duration (OR 6.37, 95% CI 4.66 to 8.67; p0.001) compared with those who had good sleep quality and 6–8?h sleep duration, after adjusting for confounders. After adjusting for potential confounders RERI, AP and S values (and their 95% CI) were 1.69 (0.31 to 3.76), 0.42 (0.15 to 0.61) and 2.85 (2.14 to 3.92), respectively, for the interaction between poor sleep quality and short sleep duration, and 0.78 (0.12 to 1.43), 0.61 (0.26 to 0.87) and ?65 (?0.94 to ?0.27) for the interaction between good sleep quality and long sleep duration. Conclusions The results suggest that there are additive interactions between poor sleep quality and short sleep duration.
机译:目的探讨中国成年人睡眠质量与睡眠时间的相互作用及其对空腹血糖受损的影响。设计横断面调查。在中国徐州进行基于社区的调查。符合纳入标准的年龄在18-75岁之间的15至145名中国男性和女性。主要和次要结局指标匹兹堡睡眠质量指数用于产生好,普通和差的睡眠质量类别。评估IFG的空腹血糖水平。睡眠时间以每晚平均睡眠时间来衡量,类别为<6、6-8和> 8?h。将睡眠和糖尿病家族史,肥胖症和年龄的乘积添加到逻辑回归模型中,以评估IFG的成瘾性相互作用和相对过度相互作用风险(RERI)。相互作用的归属比例(AP)和协同指数(S)用于评估两个因素的加性相互作用。引导法用于计算RERI,AP和S的95%CI。结果与睡眠质量较差和睡眠时间短的患者(OR 6.37,95%CI 4.66至8.67; p <0.001)相比,IFG的发生率最高。调整混杂因素后,具有良好睡眠质量和6-8h睡眠时间的人。校正潜在的混杂因素后,睡眠质量差与睡眠质量之间的相互影响,AP和S值(及其95%CI)分别为1.69(0.31至3.76),0.42(0.15至0.61)和2.85(2.14至3.92)。睡眠时间短,而良好的睡眠质量和较长的睡眠时间之间的相互作用为0.78(0.12至1.43),0.61(0.26至0.87)和?65(?0.94至?0.27)。结论结果表明,睡眠质量差和睡眠时间短之间存在加性相互作用。

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