Charlesbernstein5159
This study aimed to analyze the mass and social media contents and structures related to particulate matter before and after the policy enforcement of the comprehensive countermeasures for particulate matter, derive nursing implications, and provide a basis for designing health policies.
After crawling online news articles and posts on social networking sites before and after policy enforcement with particulate matter as keywords, we conducted topic and semantic network analysis using TEXTOM, R, and UCINET 6.
In topic analysis, behavior tips was the common main topic in both media before and after the policy enforcement. Bavdegalutamide After the policy enforcement, influence on health disappeared from the main topics due to increased reports about reduction measures and government in mass media, whereas influence on health appeared as the main topic in social media. However semantic network analysis confirmed that social media had much number of nodes and links and lower centrality than mass media, leaving substantial information that was not organically connected and unstructured.
Understanding of particulate matter policy and implications influence health, as well as gaps in the needs and use of health information, should be integrated with leadership and supports in the nurses' care of vulnerable patients and public health promotion.
Understanding of particulate matter policy and implications influence health, as well as gaps in the needs and use of health information, should be integrated with leadership and supports in the nurses' care of vulnerable patients and public health promotion.
The aim of this study was threefold, to longitudinally examine the risk of habitual smoking onset in adolescents, to delineate the effects of neighborhood characteristics and friends' smoking status on the habitual smoking onset, and to investigate whether the association between friends' smoking status and habitual smoking onset was moderated by neighborhood characteristics.
This study conducted multilevel discrete-time survival analysis, using cohort data from the 3rd to 6th waves of the Korean Child and Youth Panel Survey, which excluded habitual smokers, matched with 2010 census data on respondents' residence.
Habitual smoking onset risk increased from the 8th to the 11th grade, and then slightly decreased from the 11th to the 12th grade. Friends' smoking status (B = 0.60,
< .001), smoking rate (B = 0.06,
= .038), and the number of tobacco outlets in the respondents' neighborhood (B = 0.51,
= .003) were positively associated with habitual smoking onset risk. Furthermore, the association ot only on reducing peer smoking, but also restricting smoking by adults and the number of neighborhood tobacco outlets.
The purpose of this study was to develop and compare the prediction model for suicide attempts by Korean adolescents using logistic regression and decision tree analysis.
This study utilized secondary data drawn from the 2019 Youth Health Risk Behavior web-based survey. A total of 20 items were selected as the explanatory variables (5 of sociodemographic characteristics, 10 of health-related behaviors, and 5 of psychosocial characteristics). For data analysis, descriptive statistics and logistic regression with complex samples and decision tree analysis were performed using IBM SPSS ver. 25.0 and Stata ver. 16.0.
A total of 1,731 participants (3.0%) out of 57,303 responded that they had attempted suicide. The most significant predictors of suicide attempts as determined using the logistic regression model were experience of sadness and hopelessness, substance abuse, and violent victimization. Girls who have experience of sadness and hopelessness, and experience of substance abuse have been identified as the most vulnerable group in suicide attempts in the decision tree model.
Experiences of sadness and hopelessness, experiences of substance abuse, and experiences of violent victimization are the common major predictors of suicide attempts in both logistic regression and decision tree models, and the predict rates of both models were similar. We suggest to provide programs considering combination of high-risk predictors for adolescents to prevent suicide attempt.
Experiences of sadness and hopelessness, experiences of substance abuse, and experiences of violent victimization are the common major predictors of suicide attempts in both logistic regression and decision tree models, and the predict rates of both models were similar. We suggest to provide programs considering combination of high-risk predictors for adolescents to prevent suicide attempt.
This study aimed to identify the degree of non-nursing tasks and nursing care left undone in integrated nursing care wards, and examine their relationships with nurses' burnout, job satisfaction, turnover intentions, and medical errors.
A cross-sectional questionnaire survey was conducted. Data were collected using self-report questionnaires from 346 nurses working in 20 wards of seven small and medium-sized general hospitals, and analyzed using multiple regression and multiple logistic regression analysis with the SPSS WIN 25.0 program.
The mean score for non-nursing tasks was 7.32±1.71, and that for nursing care left undone was 4.42 ± 3.67. An increase in non-nursing tasks (β = .12,
= .021) and nursing care left undone (β = .18,
< .001) led to an increase in nurses' burnout (F = 6.26,
< .001). As nursing care left undone (β = .13,
= .018) increased, their turnover intentions also (F = 3.96,
< .001) increased, and more medical errors occurred (odds ratio 1.08, 95% confidence interval 1.02~1.15).
Non-nursing tasks and nursing care left undone are positively associated with nurses' burnout, turnover intentions, and the occurrence of medical errors. Therefore, it is important to reduce non-nursing tasks and nursing care left undone in order to deliver high quality nursing care and in turn increase patient safety.
Non-nursing tasks and nursing care left undone are positively associated with nurses' burnout, turnover intentions, and the occurrence of medical errors. Therefore, it is important to reduce non-nursing tasks and nursing care left undone in order to deliver high quality nursing care and in turn increase patient safety.
This study aimed to distinguish and describe the types of perceptions of do not resuscitate (DNR) proxy decisions among families of elderly patients in a long-term care facility.
This exploratory study applied Q-methodology, which focuses on individual subjectivity. link2 Thirty-four Q-statements were selected from 130 Q-populations formed based on the results of in-depth interviews and literature reviews. The P-samples were 34 families of elderly patients in a long-term care hospital in Busan, Korea. They categorized the Q-statements using a 9-point scale. link3 Using the PC-QUANL program, factor analysis was performed with the P-samples along an axis.
The families' perceptions of the DNR proxy decision were categorized into three types. Type I, rational acceptance, valued consensus among family members based on comprehensive support from medical staff. Type II, psychological burden, involved hesitance in making a DNR proxy decision because of negative emotions and psychological conflict. Type III, discreet decisions, valued the patients' right to self-determination and desire for a legitimate proxy decision. Type I included 18 participants, which was the most common type, and types II and III each included eight participants.
Families' perceptions of DNR proxy decisions vary, requiring tailored care and intervention. We suggest developing and providing interventions that may psychologically support families.
Families' perceptions of DNR proxy decisions vary, requiring tailored care and intervention. We suggest developing and providing interventions that may psychologically support families.
This study aimed to investigate sub-health status (SHS) of people living in China during the Coronavirus disease 2019 (COVID-19) COVID-19 pandemic. COVID-19 is a severe acute respiratory syndrome coronavirus (SARS-CoV) infection-induced acute infectious disease, which is featured by universal susceptibility and strong infectivity, and SHS (a status of low quality health) refers to a status of low-quality health. COVID-19 has gradually developed into a global pandemic, making the public in a high stress situation in physiological, psychological and social states in the short term.
From March 6 to 11, 2020, a large-scale cross-sectional survey was conducted by convenient sampling, and SHS assessment scale was used in the questionnaire. The ordinal logistic regression analysis was used to identify the factors affecting SHS.
In this study, 17,078 questionnaires were delivered with 16,820 effective questionnaires collected, and 10,715 subjects (63.7%) were found with SHS, with moderate SHS primarily. Physiological sub-scale scored the highest, followed by psychological and social sub-scales. Ordinal logistic regression analysis indicated that man, only-child, workers and farmers were risk factors of SHS. Protective factors of SHS included living in rural areas and townships, laid-off retirees and education degree.
It shows many people in China place in a poor health status during COVID-19 pandemic. It is necessary that relevant departments pay more attention to people with poor health such as men, only-child, urban people, workers and farmers, and groups with high education degree during and after pandemic stabilization.
It shows many people in China place in a poor health status during COVID-19 pandemic. It is necessary that relevant departments pay more attention to people with poor health such as men, only-child, urban people, workers and farmers, and groups with high education degree during and after pandemic stabilization.
Current understanding of the psychometric properties of items intended to assess the multidimensional construct of subjective memory (SM) is limited, as longitudinal studies of aging commonly use single items or brief sets of items to assess SM. Investigating how SM items cluster within individuals over time would increase the understanding of how combining these items impacts their utility as an early indicator of cognitive change in the aging trajectory. To address this need, the current study examined the factor structure of a brief set of SM items in an existing longitudinal study focused on cognitive aging at both the within-person and between-person levels.
Data were drawn from the Einstein Aging Study, a longitudinal cohort study of aging (N = 1,239, Mage = 77.51, SD = 5.03; 69.50% white; 24.27% black; 6.23% other). Community-dwelling older adults from an urban area of New York City were interviewed annually. At each wave, participants responded to 6 items intended to assess SM. Items assessed partspection period of items assessing perceived memory ability. A single item assessing perceived memory decline in older adults without evidence of objective cognitive impairment may be sufficient to monitor memory change in clinical or research settings.
Items appeared to assess two different dimensions of SM when examining within-person changes in SM across time; however, the item structure suggested no other items covaried systematically within persons over time. In contrast to the conceptualization of SM as a multidimensional construct, our findings suggest that when measuring SM between individuals, SM items tend to capture a single dimension underlying SM. This may be due to the long retrospection period of items assessing perceived memory ability. A single item assessing perceived memory decline in older adults without evidence of objective cognitive impairment may be sufficient to monitor memory change in clinical or research settings.
