[背景]全球2型糖尿病(T2D)的患病人数在过去几十年中持续增加,已成为重要的公共卫生问题。毒理学研究表明,臭氧(O_(3))会导致氧化应激和炎症反应,从而引起代谢变化和T2D的形成。现有关于长期O_(3)暴露对T2D发病风险影响的部分队列研究...[背景]全球2型糖尿病(T2D)的患病人数在过去几十年中持续增加,已成为重要的公共卫生问题。毒理学研究表明,臭氧(O_(3))会导致氧化应激和炎症反应,从而引起代谢变化和T2D的形成。现有关于长期O_(3)暴露对T2D发病风险影响的部分队列研究得出了相互矛盾的结论,并且研究结果显示出显著的异质性。[目的]总结长期O_(3)暴露与T2D发病风险的队列研究现有证据,探讨长期O_(3)暴露与T2D发病风险之间关联的异质性来源。[方法]本研究通过PubMed、Embase和Web of Science数据库检索队列研究,检索时间截至2025年4月25日。由2位研究者独立筛选文献、提取数据并评价纳入研究的文献质量。采用Stata18.0软件进行meta分析,采用随机效应模型计算标准化风险估计的总体相对危险度(RR)及其95%置信区间(95%CI)。同时,本研究还进行了敏感性分析、亚组分析、meta回归分析和发表偏倚检验,以探讨O_(3)与T2D之间关联的异质性来源。[结果]最终8篇文献纳入,涉及11项队列研究,54887070名参与者。meta分析结果显示,长期O_(3)暴露与T2D的高发病率相关[标准化RR=1.04(95%CI:1.01~1.07),P<0.001,I^(2)=97.3%],并且存在异质性。亚组分析显示,女性[标准化RR=1.08(95%CI:1.03~1.13)]和亚洲人群[标准化RR=1.09(95%CI:1.06~1.11)]对O_(3)的易感性更高。包含研究区域和O_(3)平均浓度变量的meta回归模型可以解释研究间异质性的60.33%。经过综合评估漏斗图形态、Egger检验(P=0.437)、Begg检验(P=0.640)以及剪补法的结果,未观察到明显地发表偏倚证据。[结论]长期O_(3)暴露会增加T2D的发病风险,其中女性和亚洲人群更加敏感。O_(3)与T2D之间关联的异质性来源可以部分解释为平均O_(3)浓度和地理位置等因素。展开更多
目的了解大气甲醛长期暴露与2型糖尿病发病风险之间的关联,为预防糖尿病发生和制定甲醛治理政策提供流行病学证据。方法基于2010—2016年在中国25个省份开展的中国家庭追踪调查(China Family Panel Studies,CFPS)收集参与者信息,甲醛数...目的了解大气甲醛长期暴露与2型糖尿病发病风险之间的关联,为预防糖尿病发生和制定甲醛治理政策提供流行病学证据。方法基于2010—2016年在中国25个省份开展的中国家庭追踪调查(China Family Panel Studies,CFPS)收集参与者信息,甲醛数据来源于比利时航天物理研究所(BIRA)提供的臭氧监测仪(OMI)数据,提取研究对象所在区县的对流层甲醛垂直柱平均浓度,代表参与者甲醛的长期暴露水平。采用R 4.1.3构建时间依存Cox比例风险回归模型,分析年均甲醛浓度与2型糖尿病发病风险的关联。结果共有29952名成年人纳入数据分析,平均随访年限为5.53年,总随访人年数为165679人年。甲醛浓度每提高一个四分位数间距(3.51×10^(15)molec/cm^(2)),2型糖尿病发病风险增加28%(HR=1.28,95%CI:1.09~1.51)。在年龄超过65岁的参与者(HR=1.44,95%CI:1.05~1.97)、女性(HR=1.40,95%CI:1.13~1.74)、北方居民(HR=1.34,95%CI:1.02~1.77)和使用非清洁燃料者(HR=1.46,95%CI:1.07~1.97)中,大气甲醛长期暴露与2型糖尿病发病风险关联性更强。结论大气甲醛长期暴露可能提高2型糖尿病发病风险。展开更多
AIM:To evaluate the effect of gastrectomy on diabetes control in patients with type 2 diabetes mellitus and early gastric cancer.METHODS:Data from 64 patients with early gastric cancer and type 2 diabetes mellitus wer...AIM:To evaluate the effect of gastrectomy on diabetes control in patients with type 2 diabetes mellitus and early gastric cancer.METHODS:Data from 64 patients with early gastric cancer and type 2 diabetes mellitus were prospectively collected.All patients underwent curative gastrectomy(36 subtotal gastrectomy with gastroduodenostomy,16subtotal gastrectomy with gastrojejunostomy,12 total gastrectomy)and their physical and laboratory data were evaluated before and 3,6 and 12 mo after surgery.RESULTS:Fasting blood glucose(FBS),HbA1c,insulin,C-peptide,and homeostasis model assessment-estimated insulin resistance were significantly improved 3mo after surgery,regardless of operation type,and the significant improvement in all measured values,except HbA1c,was sustained up to 12 mo postoperatively.Approximately 3.1%of patients stopped diabetes medication and had HbA1c<6.0%and FBS<126 mg/dL.54.7%of patients decreased their medication,and had reduced FBS or HbA1c.In multivariate analysis,good diabetic control was not associated with operation type,but was associated with diabetes duration.CONCLUSION:Diabetes improved in more than 50%of patients during the first year after gastric cancer surgery.The degree of diabetes control was related to diabetes duration.展开更多
This paper uses Gaussian interval type-2 fuzzy se theory on historical traffic volume data processing to obtain a 24-hour prediction of traffic volume with high precision. A K-means clustering method is used in this p...This paper uses Gaussian interval type-2 fuzzy se theory on historical traffic volume data processing to obtain a 24-hour prediction of traffic volume with high precision. A K-means clustering method is used in this paper to get 5 minutes traffic volume variation as input data for the Gaussian interval type-2 fuzzy sets which can reflect the distribution of historical traffic volume in one statistical period. Moreover, the cluster with the largest collection of data obtained by K-means clustering method is calculated to get the key parameters of type-2 fuzzy sets, mean and standard deviation of the Gaussian membership function.Using the range of data as the input of Gaussian interval type-2 fuzzy sets leads to the range of traffic volume forecasting output with the ability of describing the possible range of the traffic volume as well as the traffic volume prediction data with high accuracy. The simulation results show that the average relative error is reduced to 8% based on the combined K-means Gaussian interval type-2 fuzzy sets forecasting method. The fluctuation range in terms of an upper and a lower forecasting traffic volume completely envelopes the actual traffic volume and reproduces the fluctuation range of traffic flow.展开更多
文摘[背景]全球2型糖尿病(T2D)的患病人数在过去几十年中持续增加,已成为重要的公共卫生问题。毒理学研究表明,臭氧(O_(3))会导致氧化应激和炎症反应,从而引起代谢变化和T2D的形成。现有关于长期O_(3)暴露对T2D发病风险影响的部分队列研究得出了相互矛盾的结论,并且研究结果显示出显著的异质性。[目的]总结长期O_(3)暴露与T2D发病风险的队列研究现有证据,探讨长期O_(3)暴露与T2D发病风险之间关联的异质性来源。[方法]本研究通过PubMed、Embase和Web of Science数据库检索队列研究,检索时间截至2025年4月25日。由2位研究者独立筛选文献、提取数据并评价纳入研究的文献质量。采用Stata18.0软件进行meta分析,采用随机效应模型计算标准化风险估计的总体相对危险度(RR)及其95%置信区间(95%CI)。同时,本研究还进行了敏感性分析、亚组分析、meta回归分析和发表偏倚检验,以探讨O_(3)与T2D之间关联的异质性来源。[结果]最终8篇文献纳入,涉及11项队列研究,54887070名参与者。meta分析结果显示,长期O_(3)暴露与T2D的高发病率相关[标准化RR=1.04(95%CI:1.01~1.07),P<0.001,I^(2)=97.3%],并且存在异质性。亚组分析显示,女性[标准化RR=1.08(95%CI:1.03~1.13)]和亚洲人群[标准化RR=1.09(95%CI:1.06~1.11)]对O_(3)的易感性更高。包含研究区域和O_(3)平均浓度变量的meta回归模型可以解释研究间异质性的60.33%。经过综合评估漏斗图形态、Egger检验(P=0.437)、Begg检验(P=0.640)以及剪补法的结果,未观察到明显地发表偏倚证据。[结论]长期O_(3)暴露会增加T2D的发病风险,其中女性和亚洲人群更加敏感。O_(3)与T2D之间关联的异质性来源可以部分解释为平均O_(3)浓度和地理位置等因素。
文摘目的了解大气甲醛长期暴露与2型糖尿病发病风险之间的关联,为预防糖尿病发生和制定甲醛治理政策提供流行病学证据。方法基于2010—2016年在中国25个省份开展的中国家庭追踪调查(China Family Panel Studies,CFPS)收集参与者信息,甲醛数据来源于比利时航天物理研究所(BIRA)提供的臭氧监测仪(OMI)数据,提取研究对象所在区县的对流层甲醛垂直柱平均浓度,代表参与者甲醛的长期暴露水平。采用R 4.1.3构建时间依存Cox比例风险回归模型,分析年均甲醛浓度与2型糖尿病发病风险的关联。结果共有29952名成年人纳入数据分析,平均随访年限为5.53年,总随访人年数为165679人年。甲醛浓度每提高一个四分位数间距(3.51×10^(15)molec/cm^(2)),2型糖尿病发病风险增加28%(HR=1.28,95%CI:1.09~1.51)。在年龄超过65岁的参与者(HR=1.44,95%CI:1.05~1.97)、女性(HR=1.40,95%CI:1.13~1.74)、北方居民(HR=1.34,95%CI:1.02~1.77)和使用非清洁燃料者(HR=1.46,95%CI:1.07~1.97)中,大气甲醛长期暴露与2型糖尿病发病风险关联性更强。结论大气甲醛长期暴露可能提高2型糖尿病发病风险。
基金Supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education,Science and Technology,2011-0011301a faculty research grant of Yonsei University College of Medicine for 2011,6-2011-0084
文摘AIM:To evaluate the effect of gastrectomy on diabetes control in patients with type 2 diabetes mellitus and early gastric cancer.METHODS:Data from 64 patients with early gastric cancer and type 2 diabetes mellitus were prospectively collected.All patients underwent curative gastrectomy(36 subtotal gastrectomy with gastroduodenostomy,16subtotal gastrectomy with gastrojejunostomy,12 total gastrectomy)and their physical and laboratory data were evaluated before and 3,6 and 12 mo after surgery.RESULTS:Fasting blood glucose(FBS),HbA1c,insulin,C-peptide,and homeostasis model assessment-estimated insulin resistance were significantly improved 3mo after surgery,regardless of operation type,and the significant improvement in all measured values,except HbA1c,was sustained up to 12 mo postoperatively.Approximately 3.1%of patients stopped diabetes medication and had HbA1c<6.0%and FBS<126 mg/dL.54.7%of patients decreased their medication,and had reduced FBS or HbA1c.In multivariate analysis,good diabetic control was not associated with operation type,but was associated with diabetes duration.CONCLUSION:Diabetes improved in more than 50%of patients during the first year after gastric cancer surgery.The degree of diabetes control was related to diabetes duration.
基金supported by the National Key Research and Development Program of China(2018YFB1201500)
文摘This paper uses Gaussian interval type-2 fuzzy se theory on historical traffic volume data processing to obtain a 24-hour prediction of traffic volume with high precision. A K-means clustering method is used in this paper to get 5 minutes traffic volume variation as input data for the Gaussian interval type-2 fuzzy sets which can reflect the distribution of historical traffic volume in one statistical period. Moreover, the cluster with the largest collection of data obtained by K-means clustering method is calculated to get the key parameters of type-2 fuzzy sets, mean and standard deviation of the Gaussian membership function.Using the range of data as the input of Gaussian interval type-2 fuzzy sets leads to the range of traffic volume forecasting output with the ability of describing the possible range of the traffic volume as well as the traffic volume prediction data with high accuracy. The simulation results show that the average relative error is reduced to 8% based on the combined K-means Gaussian interval type-2 fuzzy sets forecasting method. The fluctuation range in terms of an upper and a lower forecasting traffic volume completely envelopes the actual traffic volume and reproduces the fluctuation range of traffic flow.
文摘目的:探讨达格列净联合阿卡波糖对2型糖尿病(type 2 diabetes mellitus,T2DM)患者血糖控制效果及糖尿病自身抗体三项的影响。方法:选取2021年8月—2024年6月赣州市立医院收治的126例T2DM患者,以简单随机法分为两组,各63例。两组均口服二甲双胍,对照组采取阿卡波糖治疗,研究组在对照组基础上采取达格列净治疗,均治疗12周。比较两组血糖控制效果[餐后2 h血糖(2 h PG)、糖化血红蛋白(HbA1c)、空腹血糖(FPG)]、糖尿病自身抗体三项[胰岛素自身抗体(IAA)、胰岛细胞抗体(ICA)、谷氨酸脱羧酶抗体(GADA)]阳性率、脂肪因子[脂联素(APN)、瘦素]、炎症因子[IL-8、IL-6、高迁移率族蛋白B1(HMGB1)、TNF-α]、不良反应发生率。结果:治疗后,两组2 h PG、HbA1c、FPG均较治疗前下降,且研究组均较对照组低(P<0.05)。治疗后两组IAA、ICA、GADA阳性率比较,差异无统计学意义(P>0.05)。治疗后两组APN均较治疗前升高,瘦素均较治疗前下降,且研究组APN较对照组高,瘦素较对照组低(P<0.05)。治疗后两组IL-8、IL-6、HMGB1、TNF-α均较治疗前下降,且研究组均较对照组低(P<0.05)。研究组不良反应发生率(6.35%)与对照组(3.17%)比较,差异无统计学意义(P>0.05)。结论:采取达格列净及阿卡波糖治疗T2DM患者,可改善血糖控制效果,调节炎症因子及脂肪因子表达,且具有较高安全性。
