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by Xiaoyi Shu, Chun Feng, Chak-Lam Ip, Xin Zhang, Nan Yang, Shibo Li, Jia Han, Weibing Wu, Alec Knight
BackgroundFostering a strong professional identity (PI) enhances career fulfillment. In China, therapy education is undergoing development, integrating both Western and traditional health concepts, causing inconsistent PI among therapy students. To date, no validated tools exist to measure and monitor PI of Chinese therapy students. This study aimed to translate and validate the 9-item MacLeod Clark Professional Identity Scale (MCPIS-9) for this purpose.
DesignThis study involved translation and cultural adaptation of the MCPIS-9, followed by a rigorous assessment of its model fit and psychometric properties using data collected via an online questionnaire.
MethodsA forward- and backward- translation process was conducted. Content validity was evaluated using item-level content validity index (I-CVI) and scale level content validity index average method (S-CVI/Ave). Therapy students across all grades at undergraduate and postgraduate levels in China were eligible. Exploratory factor analysis (EFA) examined the underlying factor structure. Model fit was evaluated through confirmatory factor analysis (CFA) using the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Standardized Root Mean Square Residual (SRMR) and Root Mean Square of Error of Approximation (RMSEA). Convergent validity was assessed through Pearson’s correlations coefficient (r) with the Professional Identity Scale for Health Students and Professionals (PISHSP). Internal consistency was examined using Cronbach’s Alpha (Cα) and McDonald’s Omega (ω).
ResultsA total of 1054 students participated. Content validity was excellent (I-CVI = 0.86–1.0, S-CVI/Ave = 0.98). EFA indicated a two-factor structure with acceptable model fit (CFI = 0.978; TLI = 0.968; SRMR = 0.033; RMSEA = 0.063). Reliability was strong (Cα = 0.835; ω = 0.817). Convergent validity demonstrated a strong correlation (r = 0.75) with the PISHSP.
ConclusionsThe Chinese MCPIS-9 is a reliable and valid tool for assessing PI among therapy students. Future research could focus on refining item 4 of this tool, potentially through further exploration of therapy students’ perceptions of PI within the unique context of the Chinese healthcare system.
by Miaomiao Ma, Deliang Lv, Xiaobing Wu, Yuqing Chen, Shimiao Dai, Yutian Luo, Hui Yang, Wei Xie, Fengzhu Xie, Qinggang Shang, Ziyang Zhang, Zhiguang Zhao, Ji-Chang Zhou
BackgroundThe increased risks for cardiovascular comorbidities and cardiovascular diseases (CVD) in populations with normal weight obesity (NWO) have not been well-identified. We aimed to study their associations in an adult population in South China.
MethodsBased on the CVD prevalence of 4% in Shenzhen and a calculated sample size of 6,000, a cross-sectional study with a multi-stage stratified cluster sampling method was conducted in Shenzhen City. The cardiovascular comorbidities being studied were abdominal obesity (AO), diabetes, hypertension, dyslipidemia, metabolic syndrome, and chronic kidney disease, while the CVD events were occurrences of myocardial infarction and strokes. Questionnaire surveys, physical examinations, and laboratory tests were performed. NWO was defined as a condition with the highest tertile of body fat percentage (BF%) among the normal body mass index (BMI) range (18.5–23.9 kg/m2). Continuous data were reported as mean [standard deviation (SD)] and categorical data as percentages (%). CVD comorbidities and CVD events and their detection rates in different groups were compared using ANONA analysis and Chi-squared test. Spearman’s correlation coefficients between BF% and cardiometabolic abnormalities were calculated by partial correlation analysis. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for BF%, CVD comorbidities, and CVD events, adjusted for multiple confounders.
ResultsAmong the total 6,240 subjects who completed the study and had BMI and BF% data available, 3,086 had normal BMI. The prevalence of NWO was 16.36%, with 13.15% for men and 19.54% for women. With confounders adjusted, the risks of AO (OR = 6.05, 95%CI = 3.40–10.75), essential hypertension (OR = 1.56, 95%CI = 1.09–2.22), dyslipidemia (OR = 1.85, 95%CI = 1.49–2.29), and metabolic syndrome (OR = 4.61, 95%CI = 2.32–9.18) were significantly increased in the populations with NWO compared with the population without NWO (P Conclusion
NWO was found to be positively associated with CVD comorbidities but not with CVD events. The current study provides a ground to conduct further studies on whether body fat affects the risk of occurrence of CVD events and the underlying mechanisms in the future.
by Yao Liang, Hongxia Yuan, Zhenwu Wang, Zhongjin Wan, Tiantian Liu, Bing Wu, Shijie Chen, Xiaobo Tang
The purpose of this study is to explore nonlinear and threshold effects of traffic statuses and road geometries, as well as their interactions, on traffic accident severity. In contrast to earlier research that primarily defined road alignment qualitatively as straight or curved, flat or slope, this study focused on the design elements of road geometry at accident locations. Additionally, this study considers the traffic conditions on the day of the accident, rather than the average annual traffic data as previous studies have done. To achieve this, we collected road design documents, traffic-related data, and 2023 accident data from the Suining section of the G42 Expressway in China. Using this dataset, we tested the classification performance of four machine learning models, including eXtreme Gradient Boosting, Gradient Boosted Decision Tree, Random Forest, and Light Gradient Boosting Machine. The optimal Random Forest model was employed to identify the key factors infulencing traffic accident severity, and the partial dependence plot was introduced to visualize the relationship between severity and various single and two-factor variables. The results indicate that the percentage of trucks, daily traffic volume, slope length, road grade, curvature, and curve length all exhibit significant nonlinear and threshold effects on accident severity. This reveals sepecific road and traffic features associated with varying levels of accident severity along the highway section examined in this study. The findings of this study will provide data-driven recommendations for highway design and daily safety management to reduce the severity of traffic accidents.
This study sought to evaluate the perceptions of pressure injury (PI) management staff regarding skin failure (SF). Additionally, an analysis of influencing factors based on the collected data was conducted to establish a foundation for targeted SF training. A descriptive, cross-sectional survey was undertaken in October–November 2023, utilising a convenience sampling method involving selected management staff of PI from 16 provinces in China. A total of 501 nursing participants were included, exhibiting an overall perception level that was moderately low. Although the majority were aware of the possibility of SF (n = 417, 83.23%), only 60% reported an understanding of the fundamentals of SF, with the lowest level of comprehension observed in differentiating between SF and PI (n = 212, 42.31%). Overall attitudes were generally positive. Regarding behaviour, active learning was more prevalent (n = 340, 67.86%), but training is less (n = 287, 57.29%). Family education (n = 401, 80.04%) and nursing record monitoring (n = 426, 85.03%) demonstrated better behaviour. Further analysis revealed that training (t = 13.937, p < 0.001) and professional title (F = 4.681, p = 0.010) had a significant effect on participants' perceptions. These findings underscore that there remains a substantial lack of perception about SF amongst participants. Overall, participants exhibited a positive attitude towards SF, highlighting the need for future improvements in SF training.
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