Kaihan Yang

Objectives:To investigate the status quo of residents’ knowledge, attitude, belief, and practice (KABP) and social support and the correlation of KABP with social support under normalized coronavirus disease (COVID-19) pandemic prevention and control.Methods:A questionnaire was designed based on the KABP model, and an online survey was conducted among residents in September 2022. SPSS software (version 25.0) was used to analyze the data. Two independent sample t-tests, one-way analysis of variance (ANOVA), multivariate linear regression analysis, and Pearson’s correlation analysis were conducted.Results:In total, 326 valid questionnaires were obtained. The scoring rates of residents’ KABP and social support were 68.1%, 92.2%, 89.3%, 75.3%, and 62.6%, respectively. Main factors influencing residents’ knowledge included gender, nationality, education level, practice, and social support; those influencing attitude were belief and practice; those influencing belief were place of residence, attitude, and practice; those influencing practice were knowledge, attitude, belief, and social support; and those influencing social support were marital status, place of residence, knowledge, and practice. Social support was positively correlated with knowledge and practice.Conclusions:This study provides a scientific foundation for the current normalized prevention and control of COVID-19 and is conducive to health managers to better carry out prevention and control related health education for specific groups.

AIM: The aim of the study was to systematically evaluate the main factors associated with lung cancer incidence in China and provide reference for developing successful lung cancer interventions and accelerating progress against cancer. METHODS: All publications related to the influencing factors of lung cancer incidence were retrieved from four databases from their date of inception through September 2022. Eight Medical Subject Headings and corresponding keywords were utilized to identify eligible trials in China National Knowledge Infrastructure (CNKI), Wanfang Database, Chinese Scientific Journals Database (VIP), and China Biology Medicine Database (CBM). The heterogeneity test and meta-analysis were conducted using Review Manager (RevMan, version 5.4) software. This study was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. RESULTS: Fourteen studies, published from 2000 to 2019, have been chosen and incorporated in a meta-analysis. The mean total quality score across the included studies was 7, with a range of 6–8. The findings of the meta-analysis demonstrated that smoking (odds ratio=2.46, 95% confidence interval: 1.94–3.11), passive smoking (odds ratio=2.44, 95% confidence interval: 2.13–2.80), lung/respiratory disease (odds ratio=2.66, 95% confidence interval: 1.82–3.89), family history of tumor (odds ratio=2.79, 95% confidence interval: 1.80–4.32), oil fume (odds ratio=1.91, 95% confidence interval: 1.50–2.43), and psychological factor (odds ratio=2.27, 95% confidence interval: 1.89–2.73) were risk factors for lung cancer, while more fruits and vegetables (odds ratio=0.51, 95% confidence interval: 0.35–0.75), exercise (odds ratio=0.55, 95% confidence interval: 0.43–0.72), and tea drinking (odds ratio=0.52, 95% confidence interval: 0.32–0.83) were protective factors for lung cancer. Funnel plot analysis demonstrated the absence of any apparent publication bias. CONCLUSION: The risk and protective factors influencing the lung cancer incidence are diverse. Considering the research limitations, we should have more research projects to explore the factors that affect lung cancer incidence and explain the research results. Cite this article as: Yang, K., Jiang, H., Deng, L., Chi, Y., Xiao, X., & Zhang, S. (2024). Factors influencing the lung cancer incidence in china: A meta-analysis. Florence Nightingale Journal of Nursing, 32(2), 198-205.

Aims: To explore the university students' attitude and the potential influencing factors to receive the coronavirus disease 2019 (COVID‐19) vaccine in Sichuan Province, China.Design: A cross‐sectional study.Methods: The self‐designed questionnaire was distributed among university students online in June 2021. SPSS software was used for statistical analysis of the data. Descriptive statistics, Chi‐square, two independent samples t‐tests, one‐way analysis of variance (ANOVA), multivariate linear regression, and content analysis were performed.Results: A total of 397 questionnaires were analysed, involving 316 (79.6%) respondents have received at least one dose of a COVID‐19 vaccine and 81 (20.4%) have not taken the vaccine. The total mean score of university students' vaccination attitude was 25.97 (standard deviation [SD] = 3.720), and the total scoring rate was 74.2%. Main factors influencing students' attitude included education level, major, living style, with chronic disease or not, self‐reported vaccination status, and number of medical units that can provide vaccination within 3 km of residence. Students were more willing to choose Chinese‐manufactured vaccines (66.8%) and participate in collective vaccination programs organized by the school (71.3%). The desired vaccine protection period was 5–10 years (42.1%). The top three reasons for refusing the vaccine or vaccine hesitancy were as follows: concern about the side effects of vaccine (44.8%), lack of information about vaccine (31.0%), and concern about the efficacy of vaccine (29.3%).Conclusion: In general, most of the participants had relatively high level of positive attitude to receive the COVID‐19 vaccine. Nevertheless, more attention should be paid to postgraduate students, non‐medical students, those living alone, those with chronic disease, those have not received the COVID‐19 vaccine, and those living far away from the vaccination medical units. Findings of this study can help educational institutions in developing effective interventions to improve the vaccination rate in the university student population.

PurposeTo systematically assess the main sociodemographic factors associated with weight perception of adolescents. MethodologyAll studies related to adolescents' weight perception were retrieved from seven databases from January 2001 to July 2022. A total of 13 Medical Subject Headings (MeSH) and keywords were used to identify qualified studies, and reference lists included in the retrieved studies were manually searched to identify potentially relevant publications. Two evaluators independently assessed the eligibility and extracted data of each study. Agency for Healthcare Research and Quality (AHRQ) risk of bias evaluation tool was used to evaluate the quality and bias risk of included studies. RevMan (version: 5.3) software was used to conduct heterogeneity test and meta-analysis. ResultsA total of 12 studies, published between 2003 and 2020, were selected and included in the systematic review and meta-analysis, consisting of 325,367 adolescents from five countries. The risk of bias evaluation indicated that risk of bias was low in five studies and moderate in seven studies. The results of meta-analysis showed that there were no differences in the weight perception accuracy among adolescents under different gender (odds ratio [OR] = 1.00, 95% confidence interval [CI]: 0.88-1.15, p = 0.940), place of residence (OR = 0.98, 95% CI: 0.83-1.16, p = 0.800), grade (OR = 1.73, 95% CI: 0.68-4.42, p = 0.250), and family economic level (OR = 0.94, 95% CI: 0.86-1.02, p = 0.140). Egger's linear regression showed that there was no significant publication bias in the primary analysis. ConclusionsThe current analysis indicates that gender, place of residence, grade, and family economic level were not identified as influencing factors for adolescents' weight perception accuracy. Due to the limitations of the review and included studies, more robust trials are warranted in different social and economic environments to confirm our findings.

Physics-informed neural networks (PINNs) have been widely applied in different fields due to their effectiveness in solving partial differential equations (PDEs). However, the accuracy and efficiency of PINNs need to be considerably improved for scientific and commercial use. To address this issue, we systematically propose a novel dimension-augmented physics-informed neural network (DaPINN), which simultaneously and significantly improves the accuracy and efficiency of the PINN. In the DaPINN model, we introduce inductive bias in the neural network to enhance network generalizability by adding a special regularization term to the loss function. Furthermore, we manipulate the network input dimension by inserting additional sample features and incorporating the expanded dimensionality in the loss function. Moreover, we verify the effectiveness of power series augmentation, Fourier series augmentation and replica augmentation, in both forward and backward problems. In most experiments, the error of DaPINN is 1$\sim$2 orders of magnitude lower than that of PINN. The results show that the DaPINN outperforms the original PINN in terms of both accuracy and efficiency with a reduced dependence on the number of sample points. We also discuss the complexity of the DaPINN and its compatibility with other methods.

Aims: To investigate research hotspots and trends in nursing education from 2014 to 2020, and provide references for researchers to understand the research status and developing trends in this field.Design: A co‐word analysis based on keywords.Methods: Data were obtained from nursing education‐related academic research articles that were retrieved through a literature search using PubMed during the period of 2014–2020. Keywords included in the analysis of literature were considered as the research objects. Bibliographic Item Co‐occurrence Matrix Builder (BICOMB) was employed to extract high‐frequency keywords and generate co‐occurrence matrix, graphical clustering toolkit (gCLUTO) was used to perform cluster analysis, and SPSS 25.0 was used to perform strategic diagram analysis.Results: Overall, 7857 articles were retrieved, from which 2679 keywords were obtained and 64 high‐frequency keywords extracted. The results revealed seven hotspots in nursing education during the period of 2014–2020, which included research on: (i) continuing education in nursing, (ii) application and influence of the internet in nursing education, (iii) postgraduate nursing education, (iv) undergraduate nursing education and clinical quality training, (v) current development status and tendency of nursing education, (vi) nursing teaching methods and (vii) organization and management in nursing education.Conclusion: The seven research hotspots could reflect the publication trends in nursing education. By providing a co‐word analysis—including cluster and strategic diagram analysis—an overall command of the latest hotspots can be depicted, and researchers conducting research in nursing education can have some hints.Impact: This study allows the development of future research on nursing education. Future researchers should explore the application of new network technologies in the process of nursing teaching, quality of postgraduate nursing education, innovative teaching methods as well as teaching strategies of improving students’ clinical ability, current situation of economics and leadership in nursing education and ability of organization and management in undergraduate nursing education.

Aims: To explore the status quo and the influencing factors of residents’ knowledge, attitude and practice (KAP) in the prevention and control of coronavirus disease 2019 (COVID‐19), and the difficulties or challenges perceived by residents in their preventive practice.Design: An online questionnaire survey.Methods: The self‐designed questionnaire was distributed among residents online in February 2020. Descriptive statistics, two independent samples t‐tests, one‐way analysis of variance, Pearson's correlation analysis, multivariate linear regression and content analysis were performed.Results: A total of 919 valid questionnaires were collected. The scoring rates of residents’ KAP were 85.2%, 92.9% and 84.4% respectively. Main factors influencing residents’ knowledge included gender and occupation; while those influencing attitude were occupation, family economic level and knowledge; and those influencing practice included place of residence, occupation, with or without chronic disease, knowledge and attitude. Mass media was the primary approach for people to learn the knowledge and information of COVID‐19. Difficulties or challenges faced were mainly lack of protective equipments, concerns about the risk of prevention and control, impact on daily life, work and study, lack of knowledge and consensus, psychological problems and information problems.Conclusion: The attitude of residents towards COVID‐19 prevention and control is generally positive. The knowledge and practice have been popularized to a certain extent, but there are still deviations or deficiencies in residents’ understanding of certain important knowledge and the adoption of relevant preventive measures. Evidence‐based tailored public education initiatives are indicated.Impact: Findings of this study add important knowledge about residents’ understanding, attitude, practice and the influencing factors on COVID‐19 prevention and control, which serves as a scientific foundation for optimizing the pandemic public education and decision‐making.