Interaction of poor sleep quality, family history of type 2 diabetes, and abdominal obesity on impaired fasting glucose: a population-based cross-sectional survey in China

• Published in: International journal of diabetes in developing countries 2016-09, Vol.36 (3), p.277-282
• Main Authors: Qin, Yu, Lou, Peian, Chen, Peipei, Zhang, Lei, Zhang, Pan, Chang, Guiqiu, Zhang, Ning, Li, Ting, Qiao, Cheng
• Format: Article
• Language: English
• Subjects: Abdomen; Cross-sectional studies; Diabetes; Diabetes mellitus; Diabetes mellitus (non-insulin dependent); Family Medicine; Fasting; General Practice; Glucose; Health Administration; Health risk assessment; Medicine; Medicine & Public Health; Obesity; Original Article; Population studies; Quality; Sleep; Statistical analysis
• ISSN: 0973-3930; 1998-3832
• DOI: 10.1007/s13410-015-0410-4

This study aims to explore the interaction of sleep quality, family history of type 2 diabetes, and obesity in relation to impaired fasting glucose in a Chinese population. A representative population-based cross-sectional study was conducted, and 15,145 residents aged between 18 and 75 years were selected from 11 districts of Xuzhou City, Jiangsu Province. The Pittsburgh Sleep Quality Index was used to evaluate sleep conditions, with categories of good and poor. Impaired fasting glucose (IFG) was assessed by fasting blood glucose. Interaction of sleep quality, obesity, and family history of diabetes (FHD) on IFG was analyzed by logistic regression. Relative excess risk due to interaction (RERI) and the synergy index (SI) were applied to evaluate the additive interaction between the two factors. Either poor sleep or positive FHD was independently associated with an increased odds ratio (OR) for IFG. Those with both poor sleep and positive FHD had a significantly increased risk compared with those without poor sleep and FHD (OR 20.6, 95 % confidence interval (CI) 16.4–29.0, P