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To compare the predictive properties of the Jackson/Cubbin scale and Waterlow scales in intensive care unit patients. A multi‐centre study. This study was conducted between April 2021 and February 2023 in 72 intensive care units of 38 tertiary hospitals in Gansu Province, China. All adults admitted to the intensive care unit for 24 hours or more without pressure injury on admission were screened using the Waterlow scale and Jackson/Cubbin scales in intensive care. Additionally, the negative predictive value, positive predictive value, sensitivity, specificity and receiver operating characteristic curve with area under the curve of the Waterlow scale and Cubbin/Jackson scales were determined. The participant population for this study included 6203 patients. Predictive properties for the Jackson/Cubbin scales and Waterlow scales, respectively, were as follows: Cut‐off scores, 28 versus 22; AUC, 0.859 versus 0.64; sensitivity, 92.4% versus 51.9%; specificity, 67.26% versus 71.46%; positive predictive value, 35% versus 23%; negative predictive value, 99.9% versus 99.1%. Both Waterlow scales and Jackson/Cubbin scales could predict pressure injury risk for patients in the intensive care unit. However, the Jackson/Cubbin scale demonstrated superior predictive properties than the Waterlow scale. [ABSTRACT FROM AUTHOR]

Aims: The aim of this study was to investigate the incidence of alexithymia in intensive care unit nurses and determine the associated factors. Design: A multi‐center, cross‐sectional study. Methods: In total, 485 nurses in intensive care unit were recruited from 53 hospitals in China. Data collection tools used in the study included demographic characteristics, the Social Support Rating Scale (SSRS), Emotional Intelligence Scale (EIS), and the 20‐item Toronto Alexithymia Scale (TAS‐20). SPSS 25.0 software (Corp., Armonk, NY, USA) was used to preform data analysis. Results: About 43.7% of intensive care unit nurses were classified as alexithymia in the whole sample (males: 50%, females: 43%). The median TAS‐20 score was 60 (interquartile range = 9). The study found that alexithymia was significantly associated with marital status, whether living alone, working years, and social support (Adjusted R Squared = 0.194, F = 6.466, p < 0.01), while emotional intelligence was not statistically significant with alexithymia. Conclusions: Alexithymia is a psychological problem with high incidence in intensive care unit nurses. In this study, being unmarried or divorced, living alone, and having fewer years of work (≤5 years) were associated with a higher risk of alexithymia. Interventions that strengthen social support may also help improve the mental health of ICU nurses. [ABSTRACT FROM AUTHOR]

Background: Several factors are associated with the incidence of burnout, including alexithymia, social support, and depression. The relative importance of these three key parameters as mediators of burnout, however, is not well understood. In addition, there have been few studies to date specifically examining the association between alexithymia and burnout among nurses in China. Purpose: To evaluate the relationship of burnout with alexithymia, social support, and depression across emergency department nurses in China. Methods: This descriptive, cross-sectional survey was conducted using a convenience sampling methodology to survey nurses responsible for direct emergency care (n = 413) from 18 tertiary hospitals in Western, Eastern, Northern, and Southern China between May 2020 and June 2020. A structural equation modeling approach was then used to assess a hypothetical model wherein alexithymia both directly and indirectly affects burnout among emergency nurses via impacting the incidence of depression and perceived social support. Results: Results supported all driving hypotheses. Alexithymia was positive direct correlated with burnout (β = 0.35; P < 0.001) and depression (β = 0.50; P < 0.001), and exhibited a negative direct effect on social support (β = − 0.14; P = 0.041). Depression was associated with burnout, both directly (β = 0.24; P < 0.001) and indirectly (β = 0.15; P < 0.001) through its relationship with social support. Alexithymia was the factor most strongly associated with burnout, and it was able to affect burnout indirectly through depression and social support. Conclusions: We found that among emergency nurses in China, alexithymia was correlated with burnout, depression, and social support. Alexithymia was the factor most strongly associated with burnout. These data suggest that providing better social support and alleviating alexithymia may decrease rates of burnout among emergency nurses. [ABSTRACT FROM AUTHOR]

Background: Pain catastrophizing in preoperative total knee arthroplasty (TKA) patients is associated with several poorly characterised factors in the literature. This study investigated the current state and associated factors of preoperative pain catastrophizing in patients undergoing TKA., Methods: This descriptive cross-sectional study was conducted at the orthopedics ward of two tertiary hospitals in Lanzhou, China. Pain catastrophizing was measured using the Chinese versions of the Pain Catastrophizing Scale, Short Form-36 (physical function domain), Numerical Rating Scale, Oxford Knee Score, Hospital Anxiety and Depression Scale, and Life Orientation Test-Revised., Results: The study included 360 participants. Preoperative TKA pain catastrophizing in all patients was high, with a mean score of 24.92 (SD: 12.38). The stepwise multiple linear regression analysis revealed anxiety (β = 0.548, P < 0.01), education level (β =  - 0.179, P < 0.01), physical function (β =  - 0.156, P < 0.01), and pain intensity during activity (β = 0.105, P = 0.015) as associated factors for pain catastrophizing, possibly explaining 51.2% of the total variation (F = 95.149, P < 0.01)., Conclusion: Anxiety was the most relevant factor for pain catastrophizing in patients with preoperative TKA. Lower education levels, poor physical function, and stronger pain intensity during the activity were also associated with pain catastrophizing., (© 2022. The Author(s).)