Lei Xi, Li Li, Songbo Fu, Yuancheng Dai, Juan Shi, Yanmei Yu, Ying Peng, Hongmei Qiu, Jinsong Kuang, Hongyun Lu, Huige Shao, Chunlei Yuan, Xiaohu Wang, Ping Zhang, Sheli Li, Yanhui Pan, Ling Hu, Zhigang Zhao, Yunxia Chen, Jian Kuang, Yi Shu, Jinhua Qian, Qibin Mao, Jieji Zhang, Yan Liu, Hong Yang, Zhaoli Yan, Weici Xie, Qian Zhang, Ping Zhang, Hongji Wu, Ling Gao, Yongjun Jin, Ning Xu, Chaoyang Xu, Xiaohui Sun, Zhimin Feng, Qing Zhang, Lin Li, Guang Ning, Yifei Zhang, Yanan Cao, Weiqing Wang
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Sleep and napping were assessed according to the standardized questionnaire. General and abdominal obesity were defined by BMI or visceral fat area (VFA), respectively. Multivariable Cox regression, stratified, and joint analysis were performed to explore potential correlations. Furthermore, mediation models were constructed to figure out the mediating role of metabolic factors (blood pressure, UACR, and HbA1c).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>During a median 3.05-year follow-up period, short sleep increased the risk of obesity (HR 1.42, 95% CI 1.17–1.71; 1.33, 1.08–1.65) and weight gain (1.21, 1.09–1.34; 1.17, 1.06–1.29), while long sleep and napping were unrelated to abdominal obesity and weight gain. Mediation analysis showed that systolic blood pressure, UACR, and HbA1c mediated the statistical association between night sleep duration and general obesity with proportions (%) of 7.9, 1.8, and 8.8, respectively. 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引用次数: 0
摘要
背景:研究2型糖尿病(T2D)患者睡眠表型与特定肥胖类型和体重增加风险之间的关系,特别是在不同的遗传风险人群中。材料与方法我们进行了一项涉及5890名参与者的前瞻性研究。根据标准化问卷对睡眠和午睡进行评估。一般肥胖和腹部肥胖分别由BMI或内脏脂肪面积(VFA)定义。采用多变量Cox回归、分层和联合分析来探讨潜在的相关性。进一步构建中介模型,明确代谢因子(血压、UACR、HbA1c)的中介作用。结果在中位3.05年的随访期间,睡眠不足增加了肥胖的风险(HR 1.42, 95% CI 1.17-1.71;1.33, 1.08-1.65)和增重(1.21,1.09-1.34;1.17(1.06-1.29),而长时间睡眠和午睡与腹部肥胖和体重增加无关。中介分析显示,收缩压、UACR和HbA1c介导了夜间睡眠时间与一般肥胖之间的统计学关联,其比例(%)分别为7.9、1.8和8.8。联合分析显示,在低遗传风险组中,睡眠组和午睡组没有显著性差异,而在中高遗传风险组中,长时间午睡、短时间睡眠和长时间睡眠增加了一般肥胖的风险。结论短时间睡眠、长时间睡眠和长时间午睡增加了一般肥胖和bmi定义体重增加的风险,并且在中高遗传风险组中更为明显。午睡与腹部肥胖无关。代谢因素部分解释了睡眠和肥胖之间的机制。
Sleep Phenotypes, Genetic Susceptibility, and Risk of Obesity in Patients With Type 2 Diabetes: A National Prospective Cohort Study
Background
To determine the associations between sleep phenotypes and the risks of specific obesity types and weight gain in patients with type 2 diabetes (T2D), especially in different genetic risk groups.
Materials and Methods
We conducted a prospective study involving 58 890 participants. Sleep and napping were assessed according to the standardized questionnaire. General and abdominal obesity were defined by BMI or visceral fat area (VFA), respectively. Multivariable Cox regression, stratified, and joint analysis were performed to explore potential correlations. Furthermore, mediation models were constructed to figure out the mediating role of metabolic factors (blood pressure, UACR, and HbA1c).
Results
During a median 3.05-year follow-up period, short sleep increased the risk of obesity (HR 1.42, 95% CI 1.17–1.71; 1.33, 1.08–1.65) and weight gain (1.21, 1.09–1.34; 1.17, 1.06–1.29), while long sleep and napping were unrelated to abdominal obesity and weight gain. Mediation analysis showed that systolic blood pressure, UACR, and HbA1c mediated the statistical association between night sleep duration and general obesity with proportions (%) of 7.9, 1.8, and 8.8, respectively. Joint analysis showed both sleep and napping groups had no significance among the low genetic risk group, while long napping, short sleep, and long sleep increased the risk of general obesity in medium to high risk patients.
Conclusions
Short sleep, long sleep, and long napping increased the risk of general obesity and BMI-defined weight gain, and were more pronounced in the medium to high genetic risk group. Napping was unrelated to abdominal obesity. Metabolic factors partially explain the mechanism between sleep and obesity.
期刊介绍:
Journal of Diabetes (JDB) devotes itself to diabetes research, therapeutics, and education. It aims to involve researchers and practitioners in a dialogue between East and West via all aspects of epidemiology, etiology, pathogenesis, management, complications and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. The Editorial team is international with a unique mix of Asian and Western participation.
The Editors welcome submissions in form of original research articles, images, novel case reports and correspondence, and will solicit reviews, point-counterpoint, commentaries, editorials, news highlights, and educational content.