Correlations among positive psychological capital, research motivation, and research ability by master's degree nursing students: A structural equation modeling.

BACKGROUND: Nursing research ability is an important force in improving the quality of nursing care and driving the development of the discipline. As the main force and reserve force of nursing research, master's degree nursing students should have certain research ability. The contributing factors and their relationships that challenge research ability among master's degree nursing students must be fully understood, as this level of knowledge can support the development of strategies and interventions that improve the research ability of master's degree nursing students. OBJECTIVE: The aim of this study was to examine the relationships among positive psychological capital, research motivation, and research ability by master's degree nursing students. In addition, we investigated whether research motivation mediates the relationship between positive psychological capital and research ability. DESIGN: A descriptive cross-sectional study using an online questionnaire. SETTING: The study sampled master's degree nursing students from colleges in Sichuan, Fujian, Hubei, and Tianjin Province, China. PARTICIPANTS: From February 2022 to April 2022, 377 master's degree nursing students were chosen by a convenience sample method. METHODS: Data were gathered using a general information questionnaire, the Positive Psychological Capital Questionnaire (PPCQ), the Research Motivation Scale (RMS), and the Nursing Research Ability of Self-Evaluation Questionnaire (NRASQ). Both SPSS 26.0 and Amos 28.0. were used to handle and analyze the data. Descriptive statistics, Pearson correlation analysis, and structural equation modeling were all used in the data analysis process. The reporting followed the STROBE checklist. RESULTS: Positive psychological capital was found to be positively correlated with research ability (P < 0.01). Research motivation was also positively correlated with research ability (P < 0.01), and had a mediating effect on the relationship between positive psychological capital and research ability (P < 0.01). CONCLUSIONS: The positive psychological capital and research motivation of master's degree nursing students are positively correlated with research ability. Research motivation significantly mediates the relationship between positive psychological capital and research ability. The findings of this study can inform educational strategies and interventions for the development of research ability of master's degree nursing students.

Latent class analysis of psychological resilience and influencing factors in patients with rheumatoid arthritis: a cross-sectional survey.

OBJECTIVES: To investigate the latent class of psychological resilience in patients with rheumatoid arthritis (RA) and examine the factors influencing various latent types. METHODS: A cross-sectional survey design was used in this study. A total of 480 patients with RA were enrolled from two tertiary care institutions in Chengdu, Sichuan Province, between May and November 2023, using the convenience sample approach. The General Information Questionnaire, CD-RISC-10, SSRS, ASES-8, and BRAF-MDQ were used to analyze the latent classes of psychological resilience in the respondents, and the factors influencing the latent classes were explored using one-way analysis of variance, analysis of variance, and multi-categorical logistic regression analysis. RESULTS: Overall, 423 valid questionnaires were returned, indicating an 88.13% effective return rate. A latent class analysis revealed that RA patients were divided into three classes of psychological resilience: low-level (20.3%), moderate-level (31.0%), and high-level (48.7%) psychological resilience. A multi-categorical logistic regression analysis found that social support, self-efficacy, weariness, age, work status, and somatic pain all significantly influenced psychological resilience in RA patients. CONCLUSION: Three classes of RA patients' psychological resilience were identified by this study, and these classes were strongly correlated with individual treatment components. It is crucial to take into account the psychological resiliency of female RA patients who do not have a job. In order to improve psychological resilience, healthcare staff should first increase their comprehension of treat-to-target. Furthermore, people with RA may become more psychologically resilient if they receive more social support. Key Points • Preliminary research found that psychological resilience in RA patients was associated with three latent classes. • In RA patients, psychological resilience was significantly influenced by self-efficacy, fatigue, age, work status, physical pain, and social support. • The fundamental goal of bolstering RA patients' psychological resilience is to reaffirm their place in the treatment process, for example, by improving patient compliance and achieving treat-to-target earlier.

The association between variability of risk factors and complications in type 2 diabetes mellitus: a retrospective study.

The variability in diabetes risk factors, such as uric acid and lipids, may influence the development of complications. This study aimed to investigate the influence of such variability on the occurrence of diabetic complications. A retrospective analysis of electronic medical records was conducted with type 2 diabetic patients who received treatment at a tertiary care hospital in Chengdu, Sichuan Province, between 2013 and 2022. The risk factor variability is presented as the standard deviation (SD). The associations between the variability and complications were examined using a binary logistic regression model. The study included 369 patients with type 2 diabetes. The findings revealed that outpatient special disease management served as a protective factor against the development of complications [OR = 0.53, 95% confidence interval (CI) (0.29-0.10)], particularly for the prevention of diabetic peripheral neuropathy [OR = 0.51, 95% CI (0.30-0.86)]. Variability in total cholesterol (TC-SD) was found to be a risk factor for the development of complications [OR = 2.42, 95% CI (1.18-4.97)] and acted as a risk factor for diabetic peripheral vasculopathy [OR = 2.50, 95% CI (1.25-5.02)]. TC-SD is a risk factor for the occurrence of diabetic peripheral neuropathy and diabetic peripheral vasculopathy, whereas outpatient special disease management functions as a protective factor against complications and diabetic peripheral neuropathy. Thus, in addition to glycaemic control, the regulation of lipid levels should be emphasized, particularly among patients without outpatient special disease management, to delay the onset of complications.

A study of factors influencing long-term glycemic variability in patients with type 2 diabetes: a structural equation modeling approach.

Aim: The present study aims to utilize structural equation modeling (SEM) to investigate the factors impacting long-term glycemic variability among patients afflicted with type 2 diabetes. Method: The present investigation is a retrospective cohort study that involved the collection of data on patients with type 2 diabetes mellitus who received care at a hospital located in Chengdu, Sichuan Province, over a period spanning from January 1, 2013, to October 30, 2022. Inclusion criteria required patients to have had at least three laboratory test results available. Pertinent patient-related information encompassing general demographic characteristics and biochemical indicators was gathered. Variability in the dataset was defined by standard deviation (SD) and coefficient of variation (CV), with glycosylated hemoglobin variation also considering variability score (HVS). Linear regression analysis was employed to establish the structural equation models for statistically significant influences on long-term glycemic variability. Structural equation modeling was employed to analyze effects and pathways. Results: Diabetes outpatient special disease management, uric acid variability, mean triglyceride levels, mean total cholesterol levels, total cholesterol variability, LDL variability, baseline glycated hemoglobin, and recent glycated hemoglobin were identified as significant factors influencing long-term glycemic variability. The overall fit of the structural equation model was found to be satisfactory and it was able to capture the relationship between outpatient special disease management, biochemical indicators, and glycated hemoglobin variability. According to the total effect statistics, baseline glycated hemoglobin and total cholesterol levels exhibited the strongest impact on glycated hemoglobin variability. Conclusion: The factors that have a significant impact on the variation of glycosylated hemoglobin include glycosylated hemoglobin itself, lipids, uric acid, and outpatient special disease management for diabetes. The identification and management of these associated factors can potentially mitigate long-term glycemic variability, thereby delaying the onset of complications and enhancing patients' quality of life.

[Size effect of Pt nanoparticles: a study of properties of Pt loaded TiO2 thin film].

TiO2 thin films loaded with Pt nanoparticles of different sizes were prepared. The sizes of the Pt nanoparticles were measured by TEM. The TiO2 thin films were characterized using XRD, UV-Vis and photocurrent measurement. The photocatalytic activities of the films were evaluated by the degradation of methylene blue under UV radiation. With the same molar quantity of loaded platinum, the properties of Pt loaded thin films were affected directly by the sizes of platinum nanoparticles, and showed strong size effect. When the particle size was 5 nm, the photocurrent and photocatalytic activity reached the maximum.