4 results
Search Results
2. Risk factors and a nomogram for predicting cognitive frailty in Chinese patients with lung cancer receiving drug therapy: A single‐center cross‐sectional study.
- Author
-
Li, Jinping, Wang, Yan, Zhai, Minfeng, Qin, Mengyuan, Zhao, Dandi, Xiang, Qian, Shao, Zaoyuan, Wang, Panrong, Lin, Yan, Dong, Yiting, and Liu, Yan
- Subjects
STATISTICAL models ,CROSS-sectional method ,PREDICTION models ,EDUCATION ,RESEARCH funding ,FRAIL elderly ,LOGISTIC regression analysis ,INSOMNIA ,CANCER patients ,DESCRIPTIVE statistics ,DISEASE prevalence ,AGE distribution ,DECISION making in clinical medicine ,LUNG tumors ,NUTRITIONAL status ,RESEARCH methodology ,DATA analysis software ,COMPARATIVE studies ,CALIBRATION ,DISCRIMINATION (Sociology) ,DEMOGRAPHY ,DIABETES ,SARCOPENIA - Abstract
Background: To identify independent factors of cognitive frailty (CF) and construct a nomogram to predict cognitive frailty risk in patients with lung cancer receiving drug therapy. Methods: In this cross‐sectional study, patients with lung cancer undergoing drug therapy from October 2022 to July 2023 were enrolled. The data collected includes general demographic characteristics, clinical data characteristics and assessment of tools for cognitive frailty and other factors. Logistic regression was harnessed to determine the influencing factors, R software was used to establish a nomogram model to predict the risk of cognitive frailty. The enhanced bootstrap method was employed for internal verification of the model. The performance of the nomogram was evaluated by using calibration curves, the area under the receiver operating characteristic curve, and decision curve analysis. Results: A total of 372 patients were recruited, with a cognitive frailty prevalence of 56.2%. Age, education background, diabetes mellitus, insomnia, sarcopenia, and nutrition status were identified as independent factors. Then, a nomogram model was constructed and patients were classified into high‐ and low‐risk groups with a cutoff value of 0.552. The internal validation results revealed good concordance, calibration and discrimination. The decision curve analysis presented prominent clinical utility. Conclusions: The prevalence of cognitive frailty was higher in lung cancer patients receiving drug therapy. The nomogram could identify the risk of cognitive frailty intuitively and simply in patients with lung cancer, so as to provide references for early screening and intervention for cognitive frailty at the early phases of drug treatment. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. Exploring Impacts and Implications of US-China Relations on US Public Opinion toward Chinese and Asian Americans.
- Author
-
Pei-Te Lien
- Subjects
CHINESE Americans ,ASIAN Americans ,CHINA-United States relations ,PUBLIC opinion ,DISCRIMINATION (Sociology) ,PUBLIC relations - Abstract
How does homeland origin impact the welfare of emigrants (and their US-born descendants) in the US diaspora? Hostilities between governments in places of origin and settlement may trigger xenophobic reactions of the native-born and discriminatory treatments against immigrant-origin Americans tied to antagonistic foreign homelands due to the latter being presumed "guilty by ethnic association." Rising US-China tensions and negative perceptions of China may endanger the lives and livelihoods of Chinese and other Asian Americans. However, the relationship between public perceptions of China and the fate of Americans perceived as being Chinese has been largely anecdotal. Viewed through the prism of US public opinion toward China and US-China relations, this research provides a systematic review of the rise and contours of the perceived "China threat" in American public opinion and how it may impact the welfare of Chinese Americans in specific and Asian Americans in general iii the present day. This research benefits from the availability of several large-scale national public opinion surveys conducted between 2020 and 2023, especially the STAATUS 2023 and SOCA of 2022. We find little relationship between perceived threats from China and people of Chinese descent residing in the US. Our findings refute the idea that there is a necessary relationship between perceived threats by China and assessments of Asian American loyalty and high-tech employment. However, we also show evidence that this does not mean Chinese and other Asian Americans themselves do not feel discriminated against on a daily basis. [ABSTRACT FROM AUTHOR]
- Published
- 2024
4. Risk and prediction of job burnout in responding nurses to public health emergencies.
- Author
-
Wang, Lu, Zhang, Xiaohong, Zhang, Meng, Wang, Lei, Tong, Xiaoru, Song, Na, Hou, Junyi, Xiao, Juan, Xiao, Hong, and Hu, Tingting
- Subjects
PSYCHOLOGICAL burnout ,CLUSTER sampling ,CROSS-sectional method ,DISCRIMINATION (Sociology) ,PUBLIC health ,POST-traumatic stress disorder ,MEDICAL emergencies ,RISK assessment ,DESCRIPTIVE statistics ,RESEARCH funding ,EMERGENCY nurses ,LOGISTIC regression analysis ,RECEIVER operating characteristic curves - Abstract
Background: In public health emergencies, nurses are vulnerable to adverse reactions, especially job burnout. It is critical to identify nurses at risk of burnout early and implement interventions as early as possible. Methods: A cross-sectional survey of the hospitals in Xiangyang City was conducted in January, 2023 using stratified cluster sampling. Anonymized data were collected from 1584 working nurses. The Impact of Events Scale-Revised (IES-R) and the Chinese version of the Maslach Burnout Inventory-General Survey (MBI-GS) were used to evaluate the post-traumatic stress disorder (PTSD) and burnout of nurses in public health emergencies. Logistic regression analysis was established to screen for risk factors of burnout, and a nomogram was developed to predict the risk of burnout. A calibration curve and the area under the receiver operating characteristic (ROC) curve were used to validate the nomogram internally. Results: This study showed that only 3.7% of nurses were completely free of PTSD during a public health emergency. We found that PTSD varied by age, marital status, procreation status, length of service, employee status, and whether working in the ICU. The nurses aged 30 ~ 40 years old, single, married without children, non-regular employees, worked for less than three years or worked in the ICU had higher levels of PTSD. Regarding the prevalence of burnout, 27.4%, 48.5%, and 18.6% of nurses had a high level of emotional exhaustion (EE), depersonalization (DP), and diminished personal accomplishment (PA), respectively. There, 31.1% of nurses had more than two types of job burnout. The number of night shifts, the type of hospital, marital status, and the severity of PTSD were all associated with higher rates of exhaustion among nurses. As a graphical representation of the model, a nomogram was created and demonstrated excellent calibration and discrimination in both sets (AUC = 0.787). Conclusions: This study confirmed the PTSD and burnout are common problems for in-service nurses during public health emergencies and screened out the high-risk groups of job burnout. It is necessary to pay more attention nurses who are single and working in general hospitals with many night shifts, especially nurses with severe PTSD. Hospitals can set up nurses' personal health records to give timely warnings to nurses with health problems, and carry out support interventions to relieve occupational stress. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.