bluuebunny/crossref_metadata_2025_split huggingface dataset:
Depressive symptoms and physical activity among community-dwelling perimenopausal women: a prospective longitudinal study
Authors: Huang Chuanya , Luo Biru , Wang Jing , Ao Yiling , Xiong Weijun , Liao Shujuan 
Published: February 2023

Abstract
Background
Women in perimenopause are vulnerable to depressive symptoms, and physical activity was reported to be a potential protective factor. The trajectories of physical activity and depressive symptoms over time and their longitudinal relationships in Chinese perimenopausal women have not been explored yet, leaving a research gap hindering us from better understanding and managing perimenopause depressive symptoms.

Methods
A multi-center prospective longitudinal study was conducted in four cities in Sichuan Province, China. Depressive symptoms and physical activity in perimenopausal women were collected in March 2019, June 2019, September 2019, and December 2019, respectively. Multivariable linear regression by generalized estimation equation was used to identify the relevant factors associated with depressive symptoms and physical activity. A four-wave autoregressive and cross-lagged panel model was performed to explore their longitudinal relationships.

Results
A total of 1875 women who completed the four-wave data collection were included in the data analysis. Depressive symptoms exacerbated over time and were associated with women’s age, monthly income, marital status, chronic disease, and negative life events. Physical activity decreased over time and was associated with educational background and monthly income. According to the cross-lagged panel model, perimenopausal women with more severe depressive symptoms tended to be less physically active, and similarly, perimenopausal women with less physical activity were more prone to report more severe depressive symptoms.

Conclusion
The cross-lagged panel model disclosed longitudinal bidirectional relationships between depressive symptoms and physical activity in perimenopausal women. Appropriate physical activity should be recommended for perimenopausal women to improve their mental well-being. Tailored physical activity duration and maintenance measures should be proposed based on different sociodemographic statuses.
Facilitators and barriers in the development and implementation of depression prevention and treatment policies in China: a qualitative study
Authors: Ma Jinping , Zhou Hai , Fu Qinqin , Lu Guohua 
Published: February 2023

Abstract
Background
Depression is one of the leading causes of avoidable suffering and premature death worldwide, leading to the disease burden among mental disorders. Depression-related deaths can be prevented by developing and implementing good depression prevention and treatment policies. The goal of this study is to provide theoretical direction and useful references for examining the outstanding service work of depression prevention and treatment. It also aims to describe how depression prevention and treatment policies were developed and put into practice in China, along with the associated facilitators and barriers.

Methods
We integrated two data sources using a case study approach: a document review of relevant policy documents, published articles and reports between 2004 and 2022 (N = 12 papers) and in-depth interviews (N = 41). Participants were drawn from pertinent sectors to managing depression: research and academia, relevant government departments, health care providers, people with depression and their families, and community organisations. Thematic analysis was used to analyse all data.

Results
A comprehensive programme of work exploring specific services for depression prevention and treatment was developed in China in 2020. Facilitators of policy development and implementation include (1) political commitment and strong leadership, (2) coordination mechanisms, (3) stakeholder enthusiasm and commitment, (4) resources, and (5) the use of digital technologies. The main barriers leading to delays in policy development and implementation include (1) insufficient awareness and lack of depression literacy, (2) lack of resources and (3) stigma and social discrimination (4) lack of united action.

Conclusion
Although the process of implementing a distinctive service programme for depression prevention and treatment in China has been long, the current policy is in line with current global efforts. Strategies to reduce Stigma and increase knowledge about depression are part of a national and international approach to reducing the burden of depression. Political commitment and the involvement of all stakeholders remain necessary. An adequate response to depression will require the involvement of society as a whole, with joint action to reduce the risk of exposure to adversity and enhance protective factors.
Developing a mortality risk prediction model using data of 3663 hospitalized COVID-19 patients: a retrospective cohort study in an Egyptian University Hospital
Authors: Kandil Sahar , Tharwat Ayman I. , Mohsen Sherief M. , Eldeeb Mai , Abdallah Waleed , Hilal Amr , Sweed Hala , Mortada Mohamed , Arif Elham , Ahmed Tarek , Elshafie Ahmed , Youssef Tarek , Zaki Mohamed , El-Gendy Yasmin , Ebied Essam , Hamad Safwat , Habil Ihab , Dabbous Hany , El-Said Amr , Mostafa Yasser , Girgis Samia , Mansour Ossama , El-Anwar Ali , Omar Ashraf , Saleh Ayman , El-Meteini Mahmoud 
Published: February 2023

Abstract
Purpose
Since the declaration of COVID-19 as a pandemic, a wide between-country variation was observed regarding in-hospital mortality and its predictors. Given the scarcity of local research and the need to prioritize the provision of care, this study was conducted aiming to measure the incidence of in-hospital COVID-19 mortality and to develop a simple and clinically applicable model for its prediction.

Methods
COVID-19-confirmed patients admitted to the designated isolation areas of Ain-Shams University Hospitals (April 2020–February 2021) were included in this retrospective cohort study (n = 3663). Data were retrieved from patients’ records. Kaplan–Meier survival and Cox proportional hazard regression were used. Binary logistic regression was used for creating mortality prediction models.

Results
Patients were 53.6% males, 4.6% current smokers, and their median age was 58 (IQR 41–68) years. Admission to intensive care units was 41.1% and mortality was 26.5% (972/3663, 95% CI 25.1–28.0%). Independent mortality predictors—with rapid mortality onset—were age ≥ 75 years, patients’ admission in critical condition, and being symptomatic. Current smoking and presence of comorbidities particularly, obesity, malignancy, and chronic haematological disorders predicted mortality too. Some biomarkers were also recognized. Two prediction models exhibited the best performance: a basic model including age, presence/absence of comorbidities, and the severity level of the condition on admission (Area Under Receiver Operating Characteristic Curve (AUC) = 0.832, 95% CI 0.816–0.847) and another model with added International Normalized Ratio (INR) value (AUC = 0.842, 95% CI 0.812–0.873).

Conclusion
Patients with the identified mortality risk factors are to be prioritized for preventive and rapid treatment measures. With the provided prediction models, clinicians can calculate mortality probability for their patients. Presenting multiple and very generic models can enable clinicians to choose the one containing the parameters available in their specific clinical setting, and also to test the applicability of such models in a non-COVID-19 respiratory infection.
Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study
Authors: Tan Bryan Yijia , Goh Zack Zhong Sheng , Lim Chien Joo , Pereira Michelle Jessica , Yang Su-Yin , Tan Kelvin Guoping , Tan Alvin Chin Kwong , Liang Phyllis , Abbott J. Haxby , Briggs Andrew M. , Hunter David J. , Skou Soren T. , Thumboo Julian , Car Josip 
Published: February 2023

AbstractBackgroundKnee osteoarthritis (OA) is a leading cause of global disability. The understanding of the role of psychosocial factors in knee OA outcomes is still evolving particularly in an Asian context. The primary aim of this study is to explore psychosocial factors that prognosticate short and long-term clinical outcomes, productivity, and healthcare utilization in patients with knee OA. Secondary aims are to explore the mediation and directional relationships and the role it plays in predicting the discordance between self-reported measures (SRM), physical-performance measures (PPMs) and objective clinical parameters.MethodsA multi-centre prospective cohort study of community ambulant knee OA patients seeking treatment in the tertiary healthcare institutions in Singapore will be conducted. Patients with secondary arthritis, significant cognitive impairment, severe medical comorbidities or previous knee arthroplasty will be excluded. Primary clinical outcome measure is the Knee injury and OA Outcome Score-12 (KOOS-12). Baseline characteristics include sociodemographic status, arthritis status including symptom duration and radiographic severity, comorbidities and functional status through Charlson Comorbidities Index (CCI), Barthel Index (BI) and Parker Mobility Score (PMS). Psychosocial variables include social support, kinesiophobia, negative affect, self-efficacy, injustice, chronic illness shame and the built environment. Clinical outcomes include quality of life, physical performance, global assessment, satisfaction and physical activity levels. Productivity and healthcare utilization will be assessed by a modified OA Cost and Consequences Questionnaire (OCC-Q) and the Work Productivity and Activity Impairment Questionnaire (WPAI). Variables will be collected at baseline, 4, 12 months and yearly thereafter. Regression, mediation and structural equation modelling will be used for analysis.DiscussionResults will allow contextualization, identification, and phenotyping of the critical (and potentially modifiable) psychosocial parameters that predict positive clinical outcomes in the OA population to guide optimization and refinement of healthcare and community. This will facilitate: 1. identification of high-risk knee OA subpopulations that will likely experience poor outcomes and 2. formulation of targeted multidisciplinary comprehensive approaches to address these psychosocial factors to optimize non-surgical treatment care, maximize functional outcomes and create more value-based care model for knee OA.Ethics and disseminationThe study has been registered under clinicaltrials.gov registry (Identifier: NCT04942236).
Biomechanical characteristics of the lower extremities during running in male long-distance runners with a history of medial tibial stress syndrome: a case control study
Authors: Ohmi Takehiro , Aizawa Junya , Hirohata Kenji , Ohji Shunsuke , Mitomo Sho , Ohara Toshiyuki , Yagishita Kazuyoshi 
Published: February 2023

Abstract
Background
Medial tibial stress syndrome (MTSS) is a running-related injury of the lower extremities. After returning to competition, there are often recurring episodes of MTSS. Therefore, it is important to prevent the onset and recurrence of MTSS among long-distance runners. This case–control study aimed to compare the kinematics and kinetics of runners with and without previous MTSS during running to clarify the biomechanical characteristics of the lower extremity of runners with previous MTSS.

Methods
Thirteen male long-distance runners aged over 18 years and asymptomatic at the time of measurement were divided into an MTSS group and a non-MTSS group based on their history of MTSS as reported in a questionnaire. The kinetics and kinematics of running were analyzed when participants ran at a speed of 2.0 ± 0.2 m/s by a three-dimensional motion analysis system and two force plates. Data regarding the joint angles, moments, and powers of the ankle, knee, and hip during the stance phase while running were extracted and compared between the two groups using the Mann–Whitney U test.

Results
Of the 13 participants, 5 and 8 were included in the MTSS (10 legs) and non-MTSS (16 legs) groups, respectively. The ankle maximum eversion moment was significantly larger in the MTSS group than in the non-MTSS group (p = 0.04). There were no significant differences in other parameters.

Conclusions
This study found that the ankle maximum eversion moment during the stance phase of running was larger in the MTSS group than in the non-MTSS group. Even after the disappearance of the symptoms of MTSS, the running biomechanics of participants with previous MTSS differed from those of participants without previous MTSS.
Push out bond strength of hydraulic cements used at different thicknesses
Authors: Durán C. Ruiz , Gancedo-Caravia Dra L. , González V. Vera , Losada C. González 
Published: February 2023

Abstract
Background
The aim of this study was to compare the pushout bond strength (POBS) of three hydraulic cements, when used at thicknesses of 3 and 5 mm.

Methods
78 root slices of 3 and 5 mm of thickness were obtained from human teeth. Cylindrical cavities of 1.4 mm of diameter were drilled and filled with Biodentine (BD), Totalfill Root Repair paste (TF) or ProRoot MTA White (PMTA). Pushout tests were performed 21 days later. The fracture pattern of each sample was also analyzed. POBS data were analyzed with Welch and Brown-Forsythe and Tamhane’s post hoc tests and a Weibull analysis was also performed.

Results
In the 3 mm group, TF showed significantly lower bond strength than BD and PMTA. In the 5 mm group, BD showed significantly higher bond strength than TF. Both BD and TF showed higher bond strength when the thickness of the sample increased, while PMTA did not.

Conclusions
TF and BD achieve higher pushout bond strength resistance when used at a thickness of 5 mm than at 3 mm, while the mean resistance of PMTA is less influenced by the thickness. At 5 mm of thickness, BD and PMTA exhibit similar resistance to displacement. However, the behavior of BD is more predictable than that of its predecessor. BD is a reliable hydraulic cement for clinical situations where thick cavities need to be filled and displacement resistance plays an important role. Clinicians need to consider choosing specific hydraulic cements according to the thickness of material to be used.
Assessment of willingness of Saudi public to participate in a dental biorepository for research purposes
Authors: Basudan Aisha Mohammed , Dagriri Lamis Khalid , Alnaqa Ghaida Hamad , Alqahtani Joud Muhanna , Alsowail Mohammad Ibrahim 
Published: February 2023

Abstract
Background
Biobanks/biorepositories are created to collect biospecimens for therapeutic and research uses. The success of the banking concept depends predominantly on the public's understanding and desire to contribute, which triggers several social, cultural, and ethical implications. The aim of this study is (1) to assess the willingness among adults attending outpatient clinics at King Abdulaziz Medical City to donate dental tissue samples to a biorepository for research purposes, (2) to identify the significant predictors for positive attitudes and willingness to donate dental bio-specimens.

Methodology
This is a cross-sectional study that targeted 401 adult outpatients attending King Abdulaziz Medical City in Riyadh, Saudi Arabia. The questionnaire focused on three main parts: demographic and personal characteristics, and previous experience regarding biorepositories (part I), knowledge about dental biorepositories (part II), and willingness and attitudes towards donating dental biospecimens (part III). Data collected were analyzed using the statistical program SAS (version 9.4) with 0.05 level of significance to determine the willingness of donating tissue to biobanks for biomedical research purposes, measure knowledge and attitude about biobanking, find the association between the assessed variables, and identify significant predictors of positive attitude to donate dental biospecimens.

Results
66% of the participants were willing to donate dental biospecimens, however only 33.9% showed good level of knowledge. Despite the notable lack of knowledge, 54% respondents had favorable attitude towards donating dental biospecimens, and only 17% were negative while the remaining 29% were neutral. Previous involvement in medical research, previous blood testing or donation, female gender, higher education level, employment in a medical facility, and higher monthly income variables were found to be significantly associated with higher willingness to donate dental biospecimens.

Conclusion
Although the majority of the participants exhibited lack of knowledge about dental biorepositories, they showed high willingness and good attitude towards donating dental biospecimens. This favorable attitude is, in turn, encouraging for the future establishment of dental biorepositories in Saudi Arabia. Six factors were significantly associated with the willingness to donate dental biospecimens, out of these, female gender, previous blood testing/donation, previous involvement in medical research were found to be strong predictors.
Comparison of imaging findings of 714 symptomatic and asymptomatic temporomandibular joints: a retrospective study
Authors: Li Chuanjie , Zhang Qingbin 
Published: February 2023

Abstract
Background
The correlation between temporomandibular disorders (TMD) and imaging features remains unclear. This study compared the cone beam computed tomography (CBCT) and magnetic resonance imaging (MRI) features in the temporomandibular joints (TMJs) with and without TMD symptoms.

Methods
The participants were recruited from the TMJ Diagnosis and Treatment Center from March 2022 to September 2022. Condylar morphology and condylar position were evaluated by CBCT. Disc morphology, disc position, and joint effusion were evaluated by T2-weighted image of MRI. The Chi-Square test and binary logistic regression analysis were carried out.

Results
Eighty-two patients with bilateral symptoms, 196 patients with unilateral symptoms, and 79 asymptomatic participants received MRI and CBCT examination. There were significant differences in the distribution of sex, age, condylar morphology, condylar position, disc morphology, disc position, and joint effusion in symptomatic and asymptomatic TMJs (P < 0.05), which showed a positive correlation with symptoms (P < 0.05). In multiple logistic regression, 19–30-year-age group, > 30-year-age group, abnormal condylar morphology, posterior condylar position, disc displacement with reduction (DDWR), and disc displacement without reduction (DDWoR) were found to be statistically significant (P < 0.05). The odds of having symptomatic TMJ were 1.952 higher in the 19–30-year-age group and 1.814 higher in the > 30-year-age group when compared to those aged ≤ 18-year-age group. The odds of having symptomatic TMJ were 2.360 higher in persons with abnormal condylar morphology when compared to those with normal condylar morphology. The odds of having symptomatic TMJ were 2.591 higher in persons with posterior condylar position when compared to those with the normal condylar position. The odds of having symptomatic TMJ were 2.764 higher in persons with DDWR and 4.189 higher in persons with DDWoR when compared to those with normal disc position. The area under the curve of the model was 0.736 ± 0.019 (95% CI 0.700–0.773, P = 0.000), which indicated that the model has a good fitting effect.

Conclusions
The imaging findings of TMJs were significantly different between symptomatic and asymptomatic TMJs. TMD is affected by multiple factors including > 19-year-age, abnormal condylar morphology, posterior condylar position, DDWR, and DDWoR, which could be risk factors for the development of TMD symptoms.
Trial registration This study was retrospectively registered on 28/03/2022 and endorsed by the Ethics Committee of Affiliated Stomatology Hospital of Guangzhou Medical University (LCYJ2022014).
How do cancer patients refuse treatment? A grounded theory study
Authors: Khankeh Hamid Reza , Vojdani Reza , Saber Mahboobeh , Imanieh Mohamadhadi 
Published: February 2023

Abstract
Background
All cancer patients, except for a small fraction, seek treatment after becoming aware of the disease. That small fraction do not seek any treatment due to various reasons, and this phenomenon is unknown to us. Therefore, the present study aimed to discover the reasons for treatment refusal in cancer patients.

Methods
This qualitative grounded theory study was conducted on 22 participants including patients, caregivers, physicians, and nurses. Purposive theoretical sampling was employed. Data were collected through in-depth interviews. All interviews were gradually transcribed and analyzed. Data analysis was carried out through the three-step method of open, axial, and selective coding and was continued until theoretical saturation. Straussian Grounded Theory was used for data analysis.

Results
A total of 4 themes and 20 sub-themes were extracted in this study. The core variable extracted from the interviews was “resilience” Other related themes included encounter with cancer, fighting cancer, and coping with cancer. The findings showed that in the context of fighting cancer, patients lost their resilience through various processes and refused treatment.

Conclusion
Cancer patients abandon the treatment in silence, oncologists and even family members being unaware of the matter. In other words, refusal of treatment is like an iceberg and the majority of the patients who have abandoned treatment are unknown to the health system. The model obtained in this study can increase the knowledge of the process that leads patients to lose their resilience against cancer and abandon treatment, which can increase the possibility of recognizing and predicting treatment refusal for oncologists.
Deep learning approach to detection of colonoscopic information from unstructured reports
Authors: Seong Donghyeong , Choi Yoon Ho , Shin Soo-Yong , Yi Byoung-Kee 
Published: February 2023

AbstractBackgroundColorectal cancer is a leading cause of cancer deaths. Several screening tests, such as colonoscopy, can be used to find polyps or colorectal cancer. Colonoscopy reports are often written in unstructured narrative text. The information embedded in the reports can be used for various purposes, including colorectal cancer risk prediction, follow-up recommendation, and quality measurement. However, the availability and accessibility of unstructured text data are still insufficient despite the large amounts of accumulated data. We aimed to develop and apply deep learning-based natural language processing (NLP) methods to detect colonoscopic information.MethodsThis study applied several deep learning-based NLP models to colonoscopy reports. Approximately 280,668 colonoscopy reports were extracted from the clinical data warehouse of Samsung Medical Center. For 5,000 reports, procedural information and colonoscopic findings were manually annotated with 17 labels. We compared the long short-term memory (LSTM) and BioBERT model to select the one with the best performance for colonoscopy reports, which was the bidirectional LSTM with conditional random fields. Then, we applied pre-trained word embedding using large unlabeled data (280,668 reports) to the selected model.ResultsThe NLP model with pre-trained word embedding performed better for most labels than the model with one-hot encoding. The F1 scores for colonoscopic findings were: 0.9564 for lesions, 0.9722 for locations, 0.9809 for shapes, 0.9720 for colors, 0.9862 for sizes, and 0.9717 for numbers.ConclusionsThis study applied deep learning-based clinical NLP models to extract meaningful information from colonoscopy reports. The method in this study achieved promising results that demonstrate it can be applied to various practical purposes.