Health checks are key features of primary and secondary disease prevention. The aim of this study was to examine the sex- and age-specific association of social status and health-related behaviors with health check at...Health checks are key features of primary and secondary disease prevention. The aim of this study was to examine the sex- and age-specific association of social status and health-related behaviors with health check attendance in eligible persons. Data were derived from the Kanazawa Study 2011 (n = 12,781), a cross-sectional study which investigated all the residents in model areas of Kanazawa City, Ishikawa Prefecture, Japan. We selected participants aged 23 years or older with National Health Insurance (n = 4920). Attendance at health checks was the outcome. We used social status and health-related behaviors as predictor variables. We analyzed them by sex and applied stratified analyses by age groups for each sex. The bivariate analyses were conducted by means of cross-tabs. We calculated health check attendance rates by each variable. We used Pearson’s χ2-test to examine statistically significant differences. We fitted logistic regression models to estimate adjusted odds ratios (ORs) of attendance in the past one year. We computed ORs in a logistic regression model containing all variables described above. Workingmen and women aged 23 to 39 years and aged 40 to 64 years had significantly increased ORs for health check attendance compared with non-working persons. Men, men aged 23 to 39 years and men aged 65 years or older with more physical activity had significantly increased ORs for health check attendance. Male ex-smokers, female ex- and non-smokers, male ex-smokers aged 65 years or older, and female non-smokers aged 40 to 64 years had significantly increased ORs. The findings suggest that population groups with lower social status or increased risks of adverse health effects are less likely to attend health checks than those with higher social status or decreased risks in particular sex and age groups. It indicates that diverse approaches are required to realize the full benefit of health checks.展开更多
Supposing a typical case of mismatch between human actions and given situation,the appropriate driver support function was investigated in this paper. It was processed by calculating the conditional expectation of dam...Supposing a typical case of mismatch between human actions and given situation,the appropriate driver support function was investigated in this paper. It was processed by calculating the conditional expectation of damage under different degrees of automation. The typical case was that the situation was detected to be in threat while the driver was detected not to take any corresponding action. Considering various realistic factors,preference order among different levels of automation was probabilistically analyzed. Different levels of automation under action type support were differentiated by human's reactions to the autonomous safety control actions which were taken by the computer.展开更多
近年来,业务流程的精确管理受到越来越多的关注,作为业务流程管理内容之一的一致性检查技术正变得越来越重要。现有的一致性检查技术主要从模型的控制流角度出发,并未考虑业务流程中的数据或数据的变化对业务流程产生的影响,为此提出了...近年来,业务流程的精确管理受到越来越多的关注,作为业务流程管理内容之一的一致性检查技术正变得越来越重要。现有的一致性检查技术主要从模型的控制流角度出发,并未考虑业务流程中的数据或数据的变化对业务流程产生的影响,为此提出了一种基于数据影响的业务流程一致性检查方法。首先,通过业务流程建模符号(business process modeling notation,BPMN)模型中数据和行为之间的依赖关系来分析数据对偏差活动预期行为的影响,进而获取偏差活动的预期行为集;其次,通过在BPMN模型中引入决策模型和符号(decision model and notation,DMN)决策表来充分捕获当前实例执行的数据上下文与行为上下文之间的关系,以区分有效数据更改和异常数据更改,找到偏差活动的有效预期行为集。最后,通过设计数据对偏差活动影响的各类成本函数提出了有效一致性检查方法。实验结果表明,相比已有工作,该方法在进行业务流程一致性检查时提高了业务流程的一致性,可以成功捕获偏差活动作出反应的适应行为,使得业务流程在复杂多变的环境下表现得更加准确、合理。展开更多
文摘Health checks are key features of primary and secondary disease prevention. The aim of this study was to examine the sex- and age-specific association of social status and health-related behaviors with health check attendance in eligible persons. Data were derived from the Kanazawa Study 2011 (n = 12,781), a cross-sectional study which investigated all the residents in model areas of Kanazawa City, Ishikawa Prefecture, Japan. We selected participants aged 23 years or older with National Health Insurance (n = 4920). Attendance at health checks was the outcome. We used social status and health-related behaviors as predictor variables. We analyzed them by sex and applied stratified analyses by age groups for each sex. The bivariate analyses were conducted by means of cross-tabs. We calculated health check attendance rates by each variable. We used Pearson’s χ2-test to examine statistically significant differences. We fitted logistic regression models to estimate adjusted odds ratios (ORs) of attendance in the past one year. We computed ORs in a logistic regression model containing all variables described above. Workingmen and women aged 23 to 39 years and aged 40 to 64 years had significantly increased ORs for health check attendance compared with non-working persons. Men, men aged 23 to 39 years and men aged 65 years or older with more physical activity had significantly increased ORs for health check attendance. Male ex-smokers, female ex- and non-smokers, male ex-smokers aged 65 years or older, and female non-smokers aged 40 to 64 years had significantly increased ORs. The findings suggest that population groups with lower social status or increased risks of adverse health effects are less likely to attend health checks than those with higher social status or decreased risks in particular sex and age groups. It indicates that diverse approaches are required to realize the full benefit of health checks.
基金National Natural Science Foundation of China(No.51379179)the Open Research Subject of Key Laboratory(Research Base)of China(No szjj2014-046)Key Scientific Research Fund Project of Xihua University,China(No.Z1320406)
文摘Supposing a typical case of mismatch between human actions and given situation,the appropriate driver support function was investigated in this paper. It was processed by calculating the conditional expectation of damage under different degrees of automation. The typical case was that the situation was detected to be in threat while the driver was detected not to take any corresponding action. Considering various realistic factors,preference order among different levels of automation was probabilistically analyzed. Different levels of automation under action type support were differentiated by human's reactions to the autonomous safety control actions which were taken by the computer.
文摘近年来,业务流程的精确管理受到越来越多的关注,作为业务流程管理内容之一的一致性检查技术正变得越来越重要。现有的一致性检查技术主要从模型的控制流角度出发,并未考虑业务流程中的数据或数据的变化对业务流程产生的影响,为此提出了一种基于数据影响的业务流程一致性检查方法。首先,通过业务流程建模符号(business process modeling notation,BPMN)模型中数据和行为之间的依赖关系来分析数据对偏差活动预期行为的影响,进而获取偏差活动的预期行为集;其次,通过在BPMN模型中引入决策模型和符号(decision model and notation,DMN)决策表来充分捕获当前实例执行的数据上下文与行为上下文之间的关系,以区分有效数据更改和异常数据更改,找到偏差活动的有效预期行为集。最后,通过设计数据对偏差活动影响的各类成本函数提出了有效一致性检查方法。实验结果表明,相比已有工作,该方法在进行业务流程一致性检查时提高了业务流程的一致性,可以成功捕获偏差活动作出反应的适应行为,使得业务流程在复杂多变的环境下表现得更加准确、合理。
