The relationship between impaired fasting glucose and self-reported sleep quality in a Chinese population
The relationship between impaired fasting glucose and self-reported sleep quality in a Chinese population
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DOI：
10.1111/j.1365-2265.2012.04423.x
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发表时间：
2013-04-01
影响因子：
3.2
通讯作者：
Chang, Chih-Jen
中科院分区：
文献类型：
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作者：
Hung, Hao-Chang;Yang, Yi-Ching;Chang, Chih-Jen
目的睡眠质量和持续时间下降预测2型糖尿病的发展。糖尿病前期是2型糖尿病和心血管疾病的既定危险因素。然而，关于糖尿病前期和睡眠质量之间的关系的研究有限。本研究的目的是在中国人群中调查这种关系。方法研究对象来自成功大学医院预防保健中心。测量人体测量数据和代谢参数。空腹血糖受损（IFG）、糖耐量受损（IGT）和糖尿病的诊断遵循美国糖尿病协会的建议。睡眠质量评估采用匹兹堡睡眠质量指数（PSQI）。结果糖耐量正常（NGT，n=1217）、IFG（n=118）、IGT（n=287）、IFG+IGT（n=80）和新诊断糖尿病（NDD，n=103）共1805例。NGT、IFG、IGT、IFG+IGT和NDD受试者的总体PSQI评分分别为6个中心点07 +/- 2个中心点44、6个中心点74 +/-3个中心点23、6个中心点91 +/- 3个中心点51、6个中心点74 +/- 2个中心点26和7个中心点16 +/- 3个中心点49。多元线性回归分析显示，女性、吸烟、IGT、IFG+IGT和NDD是影响PSQI总分的独立因素，IFG不是影响因素。多因素Logistic回归分析显示，女性、IGT、IFG+IGT和NDD是睡眠不良的预测因素，IFG不是睡眠不良的预测因素。结论糖尿病前期和NDD患者的PSQI总分显著高于NGT患者。此外，在中国人群中，女性、吸烟、IGT、IFG+IGT和NDD（而非IFG）与睡眠质量差显著相关，与心脏代谢危险因素无关。
Objective Decreased sleep quality and duration predicts the development of type 2 diabetes. Prediabetes is an established risk factor for type 2 diabetes and cardiovascular disease. However, there is limited research on the association between prediabetes and sleep quality. The aim of this study is to investigate this relationship in a Chinese population. Methods Subjects were recruited from the Prevention Health Center of National Cheng Kung University Hospital. Anthropometric data and metabolic parameters were measured. The diagnoses of impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and diabetes followed the recommendations of the American Diabetes Association. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Results A total of 1805 subjects with normal glucose tolerance (NGT, n=1217), IFG (n=118), IGT (n=287), IFG+IGT (n=80) and newly diagnosed diabetes (NDD, n=103) were recruited. The global PSQI scores were 6 center dot 07 +/- 2 center dot 44, 6 center dot 74 +/- 3 center dot 23, 6 center dot 91 +/- 3 center dot 51, 6 center dot 74 +/- 2 center dot 26 and 7 center dot 16 +/- 3 center dot 49 in subjects with NGT, IFG, IGT, IFG+IGT and NDD, respectively. Multivariate linear regression analysis showed that female gender, smoking, IGT, IFG+IGT and NDD, but not IFG, were independent determinants of global PSQI score. Multivariate logistic regression analysis showed that female gender, IGT, IFG+IGT and NDD, but not IFG, were predictors of poor sleepers. Conclusions Subjects with prediabetes and NDD had a significantly higher global PSQI score than those with NGT. Furthermore, female gender, smoking, IGT, IFG+IGT and NDD, but not IFG, were significantly associated with poor sleep quality independent of cardiometabolic risk factors in a Chinese population.