Restrictions in public service delivery triggered a general discontent among the population. check details The political repercussions of reforms eventually crystallized into the Yellow Vest movement.Restrictions in public service delivery triggered a general discontent among the population. The political repercussions of reforms eventually crystallized into the Yellow Vest movement.The incidence of tuberculosis (TB) is high among migrants in high-income countries. The migration process could contribute to the high incidence of TB among them. Achieving TB elimination from these settings will be difficult unless countries address the burden of TB among migrants. The aim of this review was to describe the challenges of international migration on TB control in high-income, low TB incidence countries. Among migrants, there is a high prevalence of risk factors for TB, such as exposure to TB, HIV, malnutrition, substance use, delayed diagnosis, low education, poor health-seeking, the culture, stigma and marginalization. Discriminatory policies of TB care and social barriers such as language, cultural issues and unfriendly health services may also contribute to the high prevalence of TB among them. TB control among migrants in these settings is important as migrants are vulnerable to TB infection and disease, and implementing TB care among them is difficult; it is important to reduce the TB burden in migrants and the community at large and the high risk of multidrug-resistant TB (MDR-TB). TB elimination from high-income countries requires acquiring data and analyzing it to measure the burden, having migrant-sensitive health systems, having policy and legal frameworks and multi-country partnerships and conducting research. The purpose of this study was to identify the caring scenarios that result in severe depression in caregivers caring for dementia patients. A cross-sectional study with 1111 dementia patients and their caregivers in Taiwan from October 2015 to January 2020 was conducted. Gender, age, type of dementia, clinical dementia rating, walking ability, mood symptoms, behavioral symptoms, and psychological symptoms were the variables from the dementia patients. Age, relation to the patient, employment, type of primary care, frequency of care, mood symptoms, and the score from the Center for Epidemiologic Studies Depression Scale were the variables from the caregivers. A comprehensive viewpoint of both dementia patients and their caregivers was evaluated by the Apriori algorithm to find the attributes resulting in different caregiving depressions. Forty-seven rules were found with 18 rules of mild depressive symptomatology, 17 rules of moderate depressive symptomatology, and 12 rules of severe depressive symptomat viewpoint that enabled the collaborative team to efficiently identify and manage different scenarios by summarizing the rules of caregivers with severe depression from a systematic viewpoint.For those caring for AD patients, severe depression was associated with the combination of different parameters to constitute each of these seven scenarios. Unlike previous studies which often evaluated one or two variables related to caregiver's depression, this study provided a more comprehensive viewpoint that enabled the collaborative team to efficiently identify and manage different scenarios by summarizing the rules of caregivers with severe depression from a systematic viewpoint. This study aimed to evaluate the effect of closed-loop management on nursing disruption risk. Using a quasi-experimental research method, convenient sampling was used to extract 20 nurses working at our hospital as the research objects. The control group members were selected from January to March 2018 via the traditional method, and the experimental group members were selected from April to June 2018 via the closed-loop management method. At three months before and after the implementation of the management model, a self-designed quantitative test form and satisfaction questionnaire were used to analyze the frequency of nursing disruption events, the accuracy rate of doctors' advice, the average drug delivery time of the static distribution center, the implementation rate of personal digital assistant (PDA) code scanning, and the report rate of risk-outcome nursing disruption events. After the implementation of the management model, the frequency of nursing disruptions and average drug delivery time of the static distribution center were significantly lower than before, and the differences were statistically significant (p < 0.05). Moreover, the accuracy rate of doctors' advice, the implementation rate of PDA code scanning, and the reporting rate of risk-outcome nursing disruption events were significantly higher than before, and these differences were statistically significant as well (p < 0.05). The application of a closed-loop management model could significantly reduce the occurrence and optimize the outcomes of nursing disruption events and improve the work processes of medical care.The application of a closed-loop management model could significantly reduce the occurrence and optimize the outcomes of nursing disruption events and improve the work processes of medical care. Prevention of the health risk of amateur marathon runners is of great significance for the sustainable development of marathon. To reduce the psychological burden of amateur marathon runners and improve the participation experience, the current study used the health belief model to study the relationship among health beliefs, attitude to preventative behavior, self-efficacy, and health values of amateur marathon runners. A total of 342 data were collected, and using the PROCESS (analytical procedures developed for mediating and moderating effects tests based on SPSS and SAS). A series of multiple linear regression models were established to study the relationship between variables, and the bootstrap confidence interval was selected to test the mediating and moderating effect. The results showed that perceived health threat (b = 0.463, p <0.05), health behavior expectations (b = 0.373, p <0.001), self-efficacy (b = 0.322, p <0.001), and behavioral attitudes (b = 0.230, p <0.001) can be regarded as antecedent variables for predicting preventative behaviors.