bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metabolic syndrome increases osteoarthritis risk: findings from the UK Biobank prospective cohort study
Authors: Zhang Shiyong , Wang Danni , Zhao Jinyu , Zhao Haitong , Xie Peng , Zheng Linli , Sheng Puyi , Yuan Jinqiu , Xia Bin , Wei Fuxin , Zhang Ziji 
Published: January 2024

Abstract
Objective
The association between Metabolic Syndrome (MetS), its components, and the risk of osteoarthritis (OA) has been a topic of conflicting evidence in different studies. The aim of this present study is to investigate the association between MetS, its components, and the risk of OA using data from the UK Biobank.

Methods
A prospective cohort study was conducted in the UK Biobank to assess the risk of osteoarthritis (OA) related to MetS. MetS was defined according to the criteria set by the International Diabetes Federation (IDF). Additionally, lifestyle factors, medications, and the inflammatory marker C-reactive protein (CRP) were included in the model. Cox proportional hazards regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI). The cumulative risk of OA was analyzed using Kaplan–Meier curves and log-rank tests. To explore potential nonlinear associations between MetS components and OA risk, a restricted cubic splines (RCS) model was employed. In addition, the polygenic risk score (PRS) of OA was calculated to characterize individual genetic risk.

Results
A total of 45,581 cases of OA were identified among 370,311 participants, with a median follow-up time of 12.48 years. The study found that individuals with MetS had a 15% higher risk of developing OA (HR = 1.15, 95%CI:1.12–1.19). Additionally, central obesity was associated with a 58% increased risk of OA (HR = 1.58, 95%CI:1.5–1.66), while hyperglycemia was linked to a 13% higher risk (HR = 1.13, 95%CI:1.1–1.15). Dyslipidemia, specifically in triglycerides (HR = 1.07, 95%CI:1.05–1.09) and high-density lipoprotein (HR = 1.05, 95%CI:1.02–1.07), was also found to be slightly associated with OA risk. When stratified by PRS, those in the high PRS group had a significantly higher risk of OA compared to those with a low PRS, whereas no interaction was found between MetS and PRS on OA risks. Furthermore, the presence of MetS significantly increased the risk of OA by up to 35% in individuals with elevated CRP levels (HR = 1.35, 95% CI:1.3–1.4).

Conclusion
MetS and its components have been found to be associated with an increased risk of OA, particularly in individuals with elevated levels of CRP. These findings highlight the significance of managing MetS as a preventive and intervention measure for OA.
Determinants of health insurance coverage among women in Mauritania: a multilevel analysis
Authors: Dowou Robert Kokou , Atanuriba Gideon Awenabisa , Adzigbli Leticia Akua , Balame Samuel Kwaku , Tahidu Issifu , Aggrey-Korsah Juliet , Aboagye Richard Gyan 
Published: January 2024

Abstract
Background
Health insurance has been documented as one of the primary methods of financing healthcare for Sustainable Development Goals (SDGs) by 2030. Yet, there is a dearth of evidence on the determinants of health insurance coverage among women in Mauritania. We examine the factors associated with health insurance coverage among women in Mauritania using a nationally representative survey dataset.

Methods
We analyzed secondary data from the 2019–2021 Mauritania Demographic and Health Survey. A weighted sample of 15,714 women of reproductive age (15–49 years) was included in the study. Multilevel regression analysis was used to examined the factors associated with health insurance coverage. The results were presented using an adjusted odds ratio (aOR) with a 95% confidence interval (CI).

Results
The coverage of health insurance among women was 8.7%. The majority of the women subscribed to social security health insurance (7.6%). Women aged 35 years and above [aOR = 1.54; 95% CI = 1.24, 1.92] were more likely to be covered by health insurance relative to those aged 15–24. The likelihood of being covered by health insurance increased with increasing level of education with the highest odds among women with higher education [aOR = 6.09; 95% CI = 3.93, 9.42]. Women in the richest wealth index households [aOR = 22.12; 95% CI = 9.52, 51.41] and those with grand parity [aOR = 2.16; 95% CI = 1.62, 2.87] had the highest odds of being covered by health insurance. Women who were working, those who watched television, and those who used the internet were more likely to be covered by health insurance relative to their counterparts who were not working, those who did not watch television, and those who did not use the internet. Women residing in Tiris zemour et Inchiri [aOR = 3.60; 95%CI = 1.60, 8.10], Tagant (aOR = 3.74; 95% CI = 1.61, 8.68], and Adrar [aOR = 2.76; 95% CI = 1.36, 5.61] regions were more likely to be covered by health insurance compared with those from Hodh Echargui.

Conclusion
Health insurance coverage among the women in our study was low. Achieving the SDG targets of ensuring universal health coverage and lowering maternal mortality to less than 70 deaths per 100,000 live births requires the implementation of interventions to increase health insurance coverage, taking into consideration the identified factors in the study. We recommend effective public education and awareness creation on the importance of being covered by health insurance by leveraging television and internet platforms. Also, interventions to increase health insurance coverage should consider younger women and those in rural areas.
Cross-sectional and longitudinal associations between the 24-hour movement behaviours, including muscle and bone strengthening activity, with bone and lean mass from childhood to adolescence
Authors: Skinner Annie M. , Barker Alan R. , Moore Sarah A. , Soininen Sonja , Haapala Eero A. , Väistö Juuso , Westgate Kate , Brage Soren , Lakka Timo A. , Vlachopoulos Dimitris 
Published: January 2024

Abstract
Background
This study aimed to assess whether moderate-to-vigorous physical activity (MVPA), sport and exercise as a proxy measure of muscle and bone strengthening activity, sedentary behaviour, and sleep were associated with total-body-less-head (TBLH) bone mineral content (BMC) and TBLH lean mass cross-sectionally and longitudinally from age 6 to 9 years and age 9 to 11 years to age 15 to 17 years.

Methods
We used longitudinal data from a population sample of Finnish children from the Physical Activity and Nutrition in Children study (age 6 to 9 years: n = 478, 229 females; age 9 to 11 years: n = 384, 197 females; age 15 to 17 years: n = 222, 103 females). Linear regression analysed the cross-sectional and longitudinal associations between accelerometer-assessed MVPA, sedentary time and sleep, and questionnaire-assessed sport and exercise participation and screen time with dual-energy X-ray absorptiometry-assessed TBLH BMC and lean mass.

Results
In females, MVPA at age 6 to 9 years was positively associated with TBLH BMC at age 15 to 17 years (β = 0.008, p = 0.010). Sport and exercise at age 9 to 11 years was positively associated with TBLH BMC (β = 0.020, p = 0.002) and lean mass (β = 0.343, p = 0.040) at age 15 to 17 years. MVPA at age 9 to 11 years was positively associated with TBLH lean mass (β = 0.272, p = 0.004) at age 15 to 17 years. In males, sleep at age 6 to 9 years was positively associated with TBLH lean mass (β = 0.382, p = 0.003) at age 15 to 17 years. Sport and exercise at age 9 to 11 years was positively associated with TBLH BMC (β = 0.027, p = 0.012) and lean mass (β = 0.721, p < 0.001) at age 15 to 17 years.

Conclusions
Promoting engagement in the 24-hour movement behaviours in childhood, particularly sport and exercise to strengthen muscle and bone, is important in supporting bone and lean mass development in adolescence.

Trial registration
NCT01803776; first trial registration date: 04/03/2013.
Outcomes of ECMO support with polypropylene membrane during pandemic times: a retrospective cohort study
Authors: Valenzuela-Faccini Natalia , Poveda-Henao Claudia , Flórez-Navas Catalina , Pérez-Garzón Michel , Boada-Becerra Natalia , Mercado-Diaz Mario , Salcedo Patricia , Robayo-Amortegui Henry 
Published: January 2024

Abstract
Background
The SARS-CoV-2 pandemic resulted in shortages of supplies, which limited the use of extracorporeal membrane oxygenation (ECMO) support. As a contingency strategy, polypropylene (PP) oxygenation membranes were used. This study describes the clinical outcomes in patients on ECMO with PP compared to poly-methylpentene (PMP) oxygenation membranes.

Methods
Retrospective cohort of patients in ECMO support admitted between 2020 and 2021.

Results
A total of 152 patients with ECMO support were included, 71.05% were men with an average age of 42 (SD 9.91) years. Veno-venous configuration was performed in 75.6% of cases. The PP oxygenation membranes required more changes 22 (63.1%), than the PMP Sorin® 24 (32,8%) and Euroset® 15 (31,9%) (p.0.022). The main indication for membrane change was low oxygen transfer for PP at 56.2%, Sorin® at 50%, and Euroset® at 14.8%. Renal replacement therapy was the most frequent complication with PP membrane in 22 patients (68.7%) Sorin® 25 patients (34.2%), and Euroset® 15 patients (31.9%) (p 0.001) without statistically significant differences in mortality.

Conclusion
PP oxygenation membranes was a useful and feasible strategy. It allowed a greater disponibility of ECMO support for critically ill in a situation of great adversity during the SARS-CoV-2 pandemic.
Application of ultrasound-guided medical thoracoscopy in patients with small amounts or without pleural effusion
Authors: Yang Linhui , Wang Kaige , Hou Wang , Liu Dan , Li Weimin 
Published: January 2024

Abstract
Background
Pleural disease is a common clinical condition, and some patients present with a small amount of pleural effusion or no pleural effusion. It is difficult to diagnose such patients in clinical practice. Medical thoracoscopy is the gold standard for the diagnosis of pleural effusion with unknown origin, and guidelines recommend that pneumothorax should be induced in such patients before medical thoracoscopy examination. However, the process of inducing pneumothorax is tedious and has many complications. Our study was conducted to clarify the value of thoracic ultrasound combined with medical thoracoscopy in patients with small amounts or without pleural effusion to simplify the process of medical thoracoscopy examination.

Methods
In this retrospective study, we included patients who were assigned to complete medical thoracoscopy. Successful completion of medical thoracoscopy in patients was regarded as letting the endoscope get into the pleural cavity and completion of the biopsy. Finally, we analyzed the value of preoperative ultrasound in patients without or with small amounts of pleural effusion.

Results
Seventy-two patients were finally included in the study. Among them, 68 patients who underwent ultrasound positioning of the access site successfully completed the examination and four patients failed the examination. Fifty-one cases showed no fluid sonolucent area at the access site, of which 48 cases had pleural sliding signs at the access site, and 47 patients successfully completed the examination; 3 cases without pleural sliding signs at the access site failed to complete thoracoscopy. In 21 cases, the fluid sonolucent area was selected as the access site, and all of them successfully completed thoracoscopy.

Conclusion
Medical thoracoscopy is one of the methods to confirm the diagnosis in patients with pleural disease with small amounts or without pleural effusion. The application of thoracic ultrasound before medical thoracoscopy can be used for the selection of the access site. It is possible to replace pneumothorax induction before medical thoracoscopy.
Histological evaluation of the regenerative potential of a novel photocrosslinkable gelatin-treated dentin matrix hydrogel in direct pulp capping: an animal study
Authors: Sedek Eman M. , Abdelkader Sally , Fahmy Amal E. , Kamoun Elbadawy A. , Nouh Samir R. , Khalil Nesma Mohamed 
Published: January 2024

Abstract
Background
To assess histologically the success of the pulp capping approach performed in traumatically exposed dogs’ teeth using a novel injectable gelatin-treated dentin matrix light cured hydrogel (LCG-TDM) compared with LCG, MTA and TheraCal LC.

Methods
Sixty-four dogs’ teeth were divided into two groups (each including 32 teeth) based on the post-treatment evaluation period: group I: 2 weeks and group II: 8 weeks. Each group was further subdivided according to the pulp capping material into four subgroups (n = 8), with subgroup A (light-cured gelatin hydrogel) as the control subgroup, subgroup B (LCG-TDM), subgroup C (TheraCal LC), and subgroup D (MTA). Pulps were mechanically exposed in the middle of the cavity floor and capped with different materials. An assessment of periapical response was performed preoperatively and at 8 weeks. After 2 and 8-week intervals, the dogs were sacrificed, and the teeth were stained with hematoxylin-eosin and graded by using a histologic scoring system. Statistical analysis was performed using the chi-square and Kruskal-Wallis tests (p = 0.05).

Results
All subgroups showed mild inflammation with normal pulp tissue at 2 weeks with no significant differences between subgroups (p ≤ 0.05), except for the TheraCal LC subgroup, which exhibited moderate inflammation (62.5%). Absence of a complete calcified bridge was reported in all subgroups at 2 weeks, while at 8 weeks, the majority of samples in the LCG-TDM and MTA-Angelus subgroups showed complete dentin bridge formation and absence of inflammatory pulp response with no significant differences between them (p ≤ 0.05). However, the formed dentin in the LCG-TDM group was significantly thicker, with layers of ordered odontoblasts identified to create a homogeneous tubular structure and numerous dentinal tubule lines suggesting a favourable trend towards dentin regeneration. TheraCal LC samples revealed a reasonably thick dentin bridge with moderate inflammation (50%) and LCG showed heavily fibrous tissue infiltrates with areas of degenerated pulp with no signs of hard tissue formation.

Conclusions
LCG-TDM, as an extracellular matrix-based material, has the potential to regenerate dentin and preserve pulp vitality, making it a viable natural alternative to silicate-based cements for healing in vivo dentin defects in direct pulp-capping procedures.
Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naïve Bayes
Authors: Monteverde-Suárez Diego , González-Flores Patricia , Santos-Solórzano Roberto , García-Minjares Manuel , Zavala-Sierra Irma , de la Luz Verónica Luna , Sánchez-Mendiola Melchor 
Published: January 2024

Abstract
Background
Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods can identify students at risk of poor academic progress and dropping out. The main goal of this study was to use machine learning models, Artificial Neural Networks (ANN) and Naïve Bayes (NB), to identify first year medical students that succeed academically, using sociodemographic data and academic history.

Methods
Data from seven cohorts (2011 to 2017) of admitted medical students to the National Autonomous University of Mexico (UNAM) Faculty of Medicine in Mexico City were analysed. Data from 7,976 students (2011 to 2017 cohorts) of the program were included. Information from admission diagnostic exam results, academic history, sociodemographic characteristics and family environment was used. The main dataset included 48 variables. The study followed the general knowledge discovery process: pre-processing, data analysis, and validation. Artificial Neural Networks (ANN) and Naïve Bayes (NB) models were used for data mining analysis.

Results
ANNs models had slightly better performance in accuracy, sensitivity, and specificity. Both models had better sensitivity when classifying regular students and better specificity when classifying irregular students. Of the 25 variables with highest predictive value in the Naïve Bayes model, percentage of correct answers in the diagnostic exam was the best variable.

Conclusions
Both ANN and Naïve Bayes methods can be useful for predicting medical students’ academic achievement in an undergraduate program, based on information of their prior knowledge and socio-demographic factors. Although ANN offered slightly superior results, Naïve Bayes made it possible to obtain an in-depth analysis of how the different variables influenced the model. The use of educational data mining techniques and machine learning classification techniques have potential in medical education.
What influences newly graduated registered nurses’ intention to leave the nursing profession? An integrative review
Authors: Lyu Xiao-Chen , Huang Shuang-Shuang , Ye Xiao-Ming , Zhang Lu-Yu , Zhang Peng , Wang Ya-Juan 
Published: January 2024

Abstract
Background
Newly graduated registered nurses leaving the nursing profession in the early stages of their career have enormous financial and time implications for nursing organizations and affect the quality of nursing care.

Objective
To identify the factors influencing newly graduated registered nurses’ intention to leave the nursing profession over the past 10 years.

Methods
The framework developed by Whittemore and Knafl was used to conduct this integrative review. An electronic search was conducted for English articles to identify research studies published between 2011-2022 using the following databases of PubMed, MEDLINE, CINAHL, PsycINFO, and Scopus. Eligible publications were critically reviewed and scored using the Critical Appraisal Skills Program Checklist and the Center for Evidence-Based Management appraisal.

Results
Twenty-one studies were analyzed. The main factors affecting newly graduated registered nurses’ intention to leave the nursing profession included demographic factors (age, educational level, year of experience, professional title, employment status, health status, shift, hospital location and size), supervisor and peer support, challenges in the workplace, cognitive and affective response to work, work environment (collegial nurse-physician relations, insufficient staffing level, person-work environment fit), gender stereotypes, autonomous motivation, role models, and resilience.

Conclusions
The factors affecting newly graduated registered nurses’ intention to leave the nursing profession are multifaceted and should receive continuous attention from nurse managers. The findings provide more comprehensive for nurse administrators to develop intervention strategies to mitigate newly graduated registered nurses’ turnover intention.
Subtypes of nursing students' volunteer motivation in COVID-19: a latent profile analysis
Authors: He Fupei , Lin Beilei , Liu Xueting , Mei Yongxia , Wang Wenna , Zhang Zhenxiang , Wang Mingxu 
Published: January 2024

AbstractBackgroundOne factor that influences nursing students' decision to engage in volunteer activities is volunteer motivation. It is important to understand the motivations of nursing students to volunteer. However, the majority of current studies have concentrated on the present level of nursing students' motivation to volunteer.ObjectivesTo identify subgroups of nursing students' volunteer motivation and its influential factors.MethodsFrom January to February 2022, a cross-sectional online study was conducted, and 2569 nursing students from 10 provinces in China were recruited. Participants completed the General Information Questionnaire, Volunteer Functional Inventory (VFI), Perceived Stress Scale (PSS) and Perceived Social Support Scale (PSSS). We explore the categories and characteristics of volunteer motivation using latent profile analysis. Then, we determined factors that affect undergraduate nursing students' volunteer motivation using multinomial logistic regression.ResultsThe volunteer motivation score of the nursing students was 77.65 (15.22). The study found that volunteer motivation could be divided into three categories: low-low protective volunteer motivation group (9.3%), general-high career values volunteer motivation group (37.5%), and high volunteer motivation group (53.2%). Perceived social support scale score, perceived stress scale score, gender, and grade significantly influenced the volunteer motivation of nursing students in different categories (bothP < 0.05). Women were more likely to have higher motivation to volunteer than men, and fourth-year nursing students were more likely to be in general-high career values volunteer motivation group.ConclusionsThe study highlights the significant heterogeneity in volunteer motivation among nursing students. Higher volunteer motivation was associated with higher perceived social support and lower perceived stress. In addition, gender and academic year were significant influencing factors. Nursing educators should develop targeted volunteer management plans based on the typological characteristics of the population to motivate nursing students to volunteer and promote the development of individual physical and mental health and social well-being.Trial registrationThe survey was approved by the Biomedical Ethics Committee of the Department of Medicine, Xi’an Jiaotong University (No. 2022–0006).
Validation and cross-cultural adaptation of the six-dimension scale of nursing performance- arabic version
Authors: Ta’an Wafa’a F. , Rababah Jehad A. , Al-Hammouri Mohammed M. , Yousef Jumana , Mukattash Tareq Lewis , Williams Brett 
Published: January 2024

Abstract
Background
Nursing performance is a key indicator of patients’ care quality and safety. Most healthcare research tools are available in the English language; however, nurses around the world can employ these tools if rigorously adapted and cross-culturally validated.

Aims and objectives
This study aims to provide a cross-cultural adaptation and validation of the six-dimension scale of nursing performance to be used among Arabic-speaking nurses.

Design
The study employed a descriptive, correlational design with a cross-sectional approach.

Methods
A five-step cross-cultural adaptation process was adopted. The scale was administered to 216 Jordanian nurses between January 2022 to April 2022. SPSS and AMOS were used for descriptive and correlation analyses and testing the six-dimension model through structural equation modeling (SEM).

Results
The current study produced a valid, reliable, culturally adapted Arabic language version of the six-dimension scale of nursing performance. The internal consistency of the tool was supported by a Cronbach Alpha’s value of 0.99. The model’s goodness of fit indices were: CFI = 0.96, RMSEA = 0.048, and CMIN/df = 1.49. The exploratory factor analysis (EFA) of the scale identified three factors with eigenvalues greater than 1.00., explaining 75.22% of the variance. A subsequent EFA, specifying six factors, yielded 79.79% explained variance. All item factor loadings exceeded 0.30, confirming the scale’s robust factor structure.

Conclusions
This study proved that following a robust cross-cultural adaptation process results in a reliable and valid measure of nursing performance to be used among Arabic-speaking nurses. The study supports the dimensionality of nursing performance as evidenced by the SEM results. Therefore, the findings have the potential to considerably enhance studying nursing performance in healthcare fields in Arabic-speaking nurses.

Relevance to clinical practice
The validation and cross-cultural adaptation of the Arabic version of the Six-Dimension Scale of Nursing Performance have direct implications for improving the quality of nursing services, enhancing patient safety, promoting cultural competence, and supporting the professional growth of Arabic-speaking nurses.