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

Abstract

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<0.001). The corresponding RERI and SI was 14.6 (8.6-20.6) and 3.7 (1.4-5.1), respectively. Both abdominal obesity and FHD significantly increased the risk of being IFG. The synergistic effect of abdominal obesity and FHD on IFG was statistically significant (OR 40.1, 95 % CI 28.8-61.5). The results suggest that additive interactions exist between poor sleep quality, abdominal obesity, and family history of diabetes in relation to impaired fasting glucose.

Sleep quality and duration during pandemic uninvolved to impaired fasting glucose and hyperuricemia among health care practitioners

“…Irrespective of the previous findings (Chou et al, 2020;Hung et al, 2013;Kim et al, 2018;Qin et al, 2016;Roddy et al, 2013), we could not demonstrate any association of the quality and duration of sleep, and the combination of both of them with IFG and hyperuricemia. Even after adjusting the predictive model using age and gender (IFG and hyperuricemia) and shift worker (only hyperuricemia), we remained failure to detect any significant association.…”

“…Moreover, impaired fasting glucose (IFG) as including the prediabetes criteria, could rise type 2 diabetes mellitus risk (American Diabetes Association, 2020). Interestingly, several observational studies have reported that poor sleep quality could enhance prediabetes risk (Hung et al, 2013;Qin et al, 2016). Similarly, many meta-analysis studies had revealed that sleep quality and quantity assist to insulin sensitivity, glucose tolerance, and risk of diabetes (Chattu et al, 2019;Kothari et al, 2021).…”