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Aim: To examine how the effects of hardiness, self‐efficacy and positive academic emotion related to the SRL ability of undergraduate nursing students. Design: A cross‐sectional survey was designed. Methods: A total of 395 Chinese undergraduate nursing students from two undergraduate colleges filled out the questionnaires from May to June 2019. The relationships between hardiness, self‐efficacy, positive academic emotion and SRL ability were analysed by structural equation modelling. Results: The response rate was 94.05%. SRL ability was significantly positive correlated with hardiness, self‐efficacy and positive academic emotion in undergraduate nursing students. Self‐efficacy (β = 0.417, p < 0.001) and positive academic emotion (β = 0.232, p < 0.001) showed a direct effect on the SRL ability. Although hardiness showed no direct effect on the SRL ability, it affected SRL ability through three indirect ways: self‐efficacy (77.778%), positive academic emotion (14.184%) and the chain mediating effect from self‐efficacy to positive academic emotion (8.038%). Conclusions: Nursing students with a higher level of hardiness would have higher self‐efficacy, and more positive and stable academic emotions to obtain the better SRL ability. The produced model provides insights into several factors associated with SRL ability of nursing students. Hardiness, self‐efficacy and positive academic emotion should be emphasized in the education of nursing students because these factors could improve their SRL ability and promote their life‐long learning. [ABSTRACT FROM AUTHOR]

Aim: To assess the influence of professional identity on work engagement among nurses working in nursing homes in China. Background: China is faced with an increasingly ageing population. There is a shortage of adequately trained nursing personnel and a high turnover rate among nurses. Work engagement is a key factor in improving nurses' performance and improving professional identity is critical to increase work productivity and satisfaction. Methods: We conducted a cross‐sectional survey of 272 nurses working in nursing homes. And the data were analysed by descriptive analyses, univariate analysis and Multiple regression analyses. Results: The overall average work engagement score was 3.99 ± 1.04. Professional identity was the only factor that significantly influenced the 'vigour' and 'absorption' of nurses. Age, ethnicity and professional identity were significant predictors of 'dedication'. Conclusions: A positive professional identity can lead to a better work engagement among nurses working in nursing homes in China. Implications for Nursing Management: To enhance the work engagement of nurses working in nursing homes, nursing leaders should create a respectful and equal work environment, create a favourable image of the industry and the profession and strengthen training to improve the professional identity. [ABSTRACT FROM AUTHOR]

Background: Removable dentures are subject to plaque and/or staining problems. Denture hygiene habits and risk factors differ among countries and regions. The aims of this study were to assess hygiene habits and denture plaque and staining risk factors in Chinese removable denture wearers aged >40 years in Xi’an through multiple logistic regression analysis (MLRA). Methods: Questionnaires were administered to 222 patients whose removable dentures were examined clinically to assess wear status and levels of plaque and staining. Univariate analyses were performed to identify potential risk factors for denture plaque/staining. MLRA was performed to identify significant risk factors. Results: Brushing (77.93%) was the most prevalent cleaning method in the present study. Only 16.4% of patients regularly used commercial cleansers. Most (81.08%) patients removed their dentures overnight. MLRA indicated that potential risk factors for denture plaque were the duration of denture use (reference, ≤0.5 years; 2.1–5 years: OR = 4.155, P = 0.001; >5 years: OR = 7.238, P<0.001) and cleaning method (reference, chemical cleanser; running water: OR = 7.081, P = 0.010; brushing: OR = 3.567, P = 0.005). Potential risk factors for denture staining were female gender (OR = 0.377, P = 0.013), smoking (OR = 5.471, P = 0.031), tea consumption (OR = 3.957, P = 0.002), denture scratching (OR = 4.557, P = 0.036), duration of denture use (reference, ≤0.5 years; 2.1–5 years: OR = 7.899, P = 0.001; >5 years: OR = 27.226, P<0.001), and cleaning method (reference, chemical cleanser; running water: OR = 29.184, P<0.001; brushing: OR = 4.236, P = 0.007). Conclusion: Denture hygiene habits need further improvement. An understanding of the risk factors for denture plaque and staining may provide the basis for preventive efforts. [ABSTRACT FROM AUTHOR]

In China, the effects of heavy metals and metalloids (HMMs) on liver health are not consistently documented, despite their prevalent environmental presence. Our research assessed the association between HMMs and liver function biomarkers in a comprehensive sample of Chinese adults. We analyzed data from 9445 participants in the China National Human Biomonitoring survey. Blood and urine were evaluated for HMM concentrations, and liver health was gauged using serum albumin (ALB), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) metrics. Various statistical methods were employed to understand the relationship between 11 HMMs and liver function, adjusting for multiple factors. We also explored interactions with alcohol intake, gender, and age. Among HMMs, selenium in blood [weighted geometric mean (GM) = 95.56 μg/L] and molybdenum in urine (GM = 46.44 μg/L) showed the highest concentrations, while lead in blood (GM = 21.92 μg/L) and arsenic in urine (GM = 19.80 μg/L) had the highest levels among risk HMMs. Manganese and thallium consistently indicated potential risk factor to liver in both sample types, while selenium displayed potential liver protection. Blood HMM mixtures were negatively associated with ALB (β = −0.614, 95% CI: −0.809, −0.418) and positively with AST (β = 0.701, 95% CI: 0.290, 1.111). No significant associations were found in urine HMM mixtures. Manganese, tin, nickel, and selenium were notable in blood mixture associations, with selenium and cobalt being significant in urine. The relationship of certain HMMs varied based on alcohol consumption. This research highlights the complex relationship between HMM exposure and liver health in Chinese adults, particularly emphasizing metals like manganese, thallium, and selenium. The results suggest a need for public health attention to low dose HMM exposure and underscore the potential benefits of selenium for liver health. Further studies are essential to establish causality. • Manganese and thallium exposure negatively correlate with ALB and positively with liver enzymes; selenium shows opposite trends, with drinking amplifying its association. • Heavy metals/metalloids can impact liver function even at low exposure, often non-linearly. • Mixed heavy metals/metalloids exposure in whole blood is tied to liver function markers. • This study uniquely utilizes the qgcomp method, considering both harmful and potentially beneficial metals. [ABSTRACT FROM AUTHOR]

• Legacy and emerging (6:2Cl-PFESA) PFASs were positive associated with abnormal lipid metabolism. • Lipid levels tended to be stable when PFOS and PFOA > 20 ng/mL, as well as 6:2Cl-PFESA level > 10 ng/mL. • China's unique legacy PFAS substitutes (6:2Cl-PFESA) contributed less to lipid profiles than legacy PFAS. • PFAS was more likely to have adverse effects on lipid profiles in diabetes patients. The associations of legacy per- and polyfluoroalkyl substances (PFAS) with lipid metabolism are controversial, and there is little information about the impact of emerging PFAS (6:2 Cl-PFESA) on lipid metabolism in China. We aimed to explore the associations of legacy and emerging PFAS with lipid profiles and dyslipidemia in Chinese adults. We included 10,855 Chinese participants aged 18 years and above in the China National Human Biomonitoring. The associations of 8 PFAS with 5 lipid profiles and 4 dyslipidemia were investigated using weighted multiple linear regression or weighted logistic regression, and the dose–response associations were investigated using restricted cubic spline model. Among the 8 PFAS, the concentration of PFOS was the highest, with a geometric mean of 5.15 ng/mL, followed by PFOA and 6:2 Cl-PFESA, which were 4.26 and 1.63 ng/mL, respectively. Legacy (PFOA, PFOS, PFUnDA) or emerging (6:2 Cl-PFESA) PFAS were associated with lipid profiles (TC, LDL-C, HDL-C, non HDL-C) and dyslipidemia (high LDL-C, high TC, low HDL-C), and their effects on TC were most obvious. TC concentration increased by 0.595 mmol/L in the highest quartile (Q4) of PFOS when compared with the lowest quartile (Q1), (95 % CI:0.396, 0.794). Restricted cubic spline models showed that PFAS are nonlinearly associated with TC, non HDL-C, LDL-C and HDL-C, and that the lipid concentrations tend to be stable when PFOS and PFOA were > 20 ng/mL well as when the 6:2 Cl-PFESA level was > 10 ng/mL. The positive associations between PFAS mixtures and lipid profiles were also significant. Single and mixed exposure to PFAS were positively associated with lipid profiles, and China's unique legacy PFAS substitutes (6:2 Cl-PFESA) contributed less to lipid profiles than legacy PFAS. In the future, cohort studies will be needed to confirm our findings. [ABSTRACT FROM AUTHOR]