Objective This study aimed to develop an artificial neural network(ANN) model combined with dietary retinol intake from different sources to predict the risk of non-alcoholic fatty liver disease(NAFLD) in American adu...Objective This study aimed to develop an artificial neural network(ANN) model combined with dietary retinol intake from different sources to predict the risk of non-alcoholic fatty liver disease(NAFLD) in American adults.Methods Data from the 2007 to 2014 National Health and Nutrition Examination Survey(NHANES)2007–2014 were analyzed. Eligible subjects(n = 6,613) were randomly divided into a training set(n1 =4,609) and a validation set(n2 = 2,004) at a ratio of 7:3. The training set was used to identify predictors of NAFLD risk using logistic regression analysis. An ANN was established to predict the NAFLD risk using a training set. Receiver operating characteristic(ROC) curve analysis was performed to evaluate the accuracy of the model using the training and validation sets.Results Our study found that the odds ratios(ORs) and 95% confidence intervals(CIs) of NAFLD for the highest quartile of plant-derived dietary retinol intake(i.e., provitamin A carotenoids, such as β-carotene)(OR = 0.75, 95% CI: 0.57 to 0.99) were inversely associated with NAFLD risk, compared to the lowest quartile of intake, after adjusting for potential confounders. The areas under the ROC curves were 0.874 and 0.883 for the training and validation sets, respectively. NAFLD occurs when its incidence probability is greater than 0.388.Conclusion The ANN model combined with plant-derived dietary retinol intake showed a significant effect on NAFLD. This could be applied to predict NAFLD risk in the American adult population when government departments formulate future health plans.展开更多
目的:探讨Er, Cr:YSGG激光预处理桩道对根管壁牙本质玷污层的清除效果及其超微结构的改变。方法:选用新鲜拔除的单根管离体前磨牙24颗,截冠后完成根管治疗及桩道预备,于颊舌向制备引导沟后随机分为4组进行粘结前预处理。A组:空白对照组;...目的:探讨Er, Cr:YSGG激光预处理桩道对根管壁牙本质玷污层的清除效果及其超微结构的改变。方法:选用新鲜拔除的单根管离体前磨牙24颗,截冠后完成根管治疗及桩道预备,于颊舌向制备引导沟后随机分为4组进行粘结前预处理。A组:空白对照组;B组:酸蚀组;C组:1. 0 W Er, Cr:YSGG激光组;D组:1. 25 W Er, Cr:YSGG激光组;各组样本经劈开后于场发射扫描电镜下观察。结果:激光组孔隙面积均大于空白对照组及酸蚀组,差异有统计学意义(P<0. 007)。扫描电镜观察A组仍存在大量玷污层覆盖,极少看见牙本质小管;B组部分牙本质小管暴露,管径增大,管周呈'条索状'结构;C组偶见个别牙本质小管被碎屑堵塞,管径无明显扩大;D组牙本质表面粗糙呈'鳞片状',未见牙本质碎屑,牙本质小管开放。结论:应用1. 0 W或1. 25 W Er, Cr:YSGG激光进行桩道预处理均可有效去除根管壁牙本质表面的玷污层,开放牙本质小管。但1. 25 W Er, Cr:YSGG激光预处理后牙本质表面粗糙度更为明显。展开更多
目的:构建口腔健康素养(Oral Health Literacy,OHL)测量工具,并对其进行信度和结构效度检验,为我国居民口腔健康素养评估提供科学工具。方法:采用方便抽样方法,于2020年3月—4月选择山西省太原市小店区某社区的常住人口为调查对象,通过...目的:构建口腔健康素养(Oral Health Literacy,OHL)测量工具,并对其进行信度和结构效度检验,为我国居民口腔健康素养评估提供科学工具。方法:采用方便抽样方法,于2020年3月—4月选择山西省太原市小店区某社区的常住人口为调查对象,通过文献查阅、专家咨询和认知访谈,形成口腔健康素养测量工具。采用SPSS 22.0和AMOS 22.0软件包进行一般人口学特征描述、Spearman秩相关、项目分析、探索性因子分析、验证性因子分析信度和结构效度检验,同时计算Cronbach'sα系数,对量表进行评价与验证。结果:共发放问卷1000份,回收有效问卷858份,通过项目分析和探索性因子分析,形成含基本技能、信息相关能力、口腔健康维持能力、个人特征、社会支持5个维度共90个条目的OHL量表。各条目分与所在维度分相关(r=0.250~0.744,P<0.001),验证性因子分析结果显示,模型的整体适配指数可接受,其中χ2/df=2.785,RMSEA=0.057(95%CI:0.052~0.0762),IFI=0.931,TLI=0.856,CFI=0.895,总量表的Cronbachα系数为0.899,各个维度的Cronbachα系数位于0.709~0.920之间。结论:本研究构建的口腔健康素养测量工具具有良好的信度和结构效度,可供口腔工作者在预防、治疗、健康教育等工作中应用。展开更多
基金funded by the National Natural Science Foundation of China [Project Approval No. 71804101]。
文摘Objective This study aimed to develop an artificial neural network(ANN) model combined with dietary retinol intake from different sources to predict the risk of non-alcoholic fatty liver disease(NAFLD) in American adults.Methods Data from the 2007 to 2014 National Health and Nutrition Examination Survey(NHANES)2007–2014 were analyzed. Eligible subjects(n = 6,613) were randomly divided into a training set(n1 =4,609) and a validation set(n2 = 2,004) at a ratio of 7:3. The training set was used to identify predictors of NAFLD risk using logistic regression analysis. An ANN was established to predict the NAFLD risk using a training set. Receiver operating characteristic(ROC) curve analysis was performed to evaluate the accuracy of the model using the training and validation sets.Results Our study found that the odds ratios(ORs) and 95% confidence intervals(CIs) of NAFLD for the highest quartile of plant-derived dietary retinol intake(i.e., provitamin A carotenoids, such as β-carotene)(OR = 0.75, 95% CI: 0.57 to 0.99) were inversely associated with NAFLD risk, compared to the lowest quartile of intake, after adjusting for potential confounders. The areas under the ROC curves were 0.874 and 0.883 for the training and validation sets, respectively. NAFLD occurs when its incidence probability is greater than 0.388.Conclusion The ANN model combined with plant-derived dietary retinol intake showed a significant effect on NAFLD. This could be applied to predict NAFLD risk in the American adult population when government departments formulate future health plans.
文摘目的:探讨Er, Cr:YSGG激光预处理桩道对根管壁牙本质玷污层的清除效果及其超微结构的改变。方法:选用新鲜拔除的单根管离体前磨牙24颗,截冠后完成根管治疗及桩道预备,于颊舌向制备引导沟后随机分为4组进行粘结前预处理。A组:空白对照组;B组:酸蚀组;C组:1. 0 W Er, Cr:YSGG激光组;D组:1. 25 W Er, Cr:YSGG激光组;各组样本经劈开后于场发射扫描电镜下观察。结果:激光组孔隙面积均大于空白对照组及酸蚀组,差异有统计学意义(P<0. 007)。扫描电镜观察A组仍存在大量玷污层覆盖,极少看见牙本质小管;B组部分牙本质小管暴露,管径增大,管周呈'条索状'结构;C组偶见个别牙本质小管被碎屑堵塞,管径无明显扩大;D组牙本质表面粗糙呈'鳞片状',未见牙本质碎屑,牙本质小管开放。结论:应用1. 0 W或1. 25 W Er, Cr:YSGG激光进行桩道预处理均可有效去除根管壁牙本质表面的玷污层,开放牙本质小管。但1. 25 W Er, Cr:YSGG激光预处理后牙本质表面粗糙度更为明显。
文摘目的:构建口腔健康素养(Oral Health Literacy,OHL)测量工具,并对其进行信度和结构效度检验,为我国居民口腔健康素养评估提供科学工具。方法:采用方便抽样方法,于2020年3月—4月选择山西省太原市小店区某社区的常住人口为调查对象,通过文献查阅、专家咨询和认知访谈,形成口腔健康素养测量工具。采用SPSS 22.0和AMOS 22.0软件包进行一般人口学特征描述、Spearman秩相关、项目分析、探索性因子分析、验证性因子分析信度和结构效度检验,同时计算Cronbach'sα系数,对量表进行评价与验证。结果:共发放问卷1000份,回收有效问卷858份,通过项目分析和探索性因子分析,形成含基本技能、信息相关能力、口腔健康维持能力、个人特征、社会支持5个维度共90个条目的OHL量表。各条目分与所在维度分相关(r=0.250~0.744,P<0.001),验证性因子分析结果显示,模型的整体适配指数可接受,其中χ2/df=2.785,RMSEA=0.057(95%CI:0.052~0.0762),IFI=0.931,TLI=0.856,CFI=0.895,总量表的Cronbachα系数为0.899,各个维度的Cronbachα系数位于0.709~0.920之间。结论:本研究构建的口腔健康素养测量工具具有良好的信度和结构效度,可供口腔工作者在预防、治疗、健康教育等工作中应用。
