bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and associated risk factors for suicidal ideation, non-suicidal self-injury and suicide attempt among male construction workers in Ireland
Authors: O’Donnell Shane , Egan Tom , Clarke Nicholas , Richardson Noel 
Published: May 2024

Abstract
Background
Suicide among male construction workers are reported to be disproportionally high compared to the working age population. However, there is minimal understanding of the prevalence and associated factors for suicidal ideation, non-suicidal self-injury, and suicide attempt among this occupational group globally.

Methods
A cross-sectional study was conducted on a large sample of male construction workers in Ireland (n = 1,585). We investigated the prevalence of suicidal ideation, non-suicidal self-injury and suicide attempts and sociodemographic, occupational, and mental health factors associated with these three outcomes. Multivariable Poisson regression was performed to estimate the prevalence rate ratio of suicidal ideation (model 1 primary outcome), while multivariable logistic regression was used to estimate the odds ratio of non-suicidal self-injury (model 2 primary outcome), and suicide attempt (model 3 primary outcome).

Results
The lifetime prevalence rate for suicidal ideation was 22%, 6% for non-suicidal self-injury, and 6% for suicide attempt. In univariate modelling, socio-demographic and occupation-specific factors associated with the three outcomes included younger age (suicidal ideation and non-suicidal self-injury), not being in a relationship (suicide attempt) and working 35–44 h per week (suicidal ideation and suicide attempt). The mental health factors generalized anxiety disorder, depression, and suicide bereavement were significantly associated with increased risk of the three outcomes. In fully adjusted multivariable models, increasing severity of generalized anxiety disorder and depression were associated with an increased prevalence rate ratio of suicidal ideation, and a higher odds ratio of non-suicidal self-injury and suicide attempt.

Conclusion
Suicidal ideation, non-suicidal self-injury and suicide attempt are significant issues for male construction workers that require specific attention. Findings highlight a need to support younger male construction workers and those bereaved by suicide. They also highlight the need for the early detection and treatment of generalized anxiety disorder and depression in order to intervene in, and potentially prevent, suicidality among male construction workers.
Exploring risky health behaviors and vulnerability to sexually transmitted diseases among transnational undocumented labor migrants from Bangladesh: a qualitative study
Authors: Sohel Md. Salman , Sifullah Md. Khaled , Hossain Babul , Sarker Md. Fouad Hossain , Zaman Noshin Tasnim , Obaidullah Md. 
Published: May 2024

Abstract
Background
In Bangladesh, remittances constitute a substantial portion of the country’s foreign exchange earnings and serve as a primary source of income. However, a considerable number of Bangladeshi citizens reside overseas without proper documentation, exposing them to significant challenges such as limited access to healthcare and socioeconomic opportunities. Moreover, their irregular migration status often results in engaging in risky health behaviors that further exacerbate their vulnerability. Hence, this study aimed to investigate the risky health behavior and HIV/STI susceptibility of Bangladeshi irregular international migrants residing across the globe with undocumented status.

Methods
Using a qualitative Interpretative Phenomenological Approach (IPA), 25 illegal migrants were interviewed who are currently living illegally or returned to their home country. The author used a thematic approach to code and analyze the data, combining an integrated data-driven inductive approach with a deductive approach. Concurrent processing and coding were facilitated by employing the Granheim model in data analysis.

Results
The study identified four risky health behaviors among irregular Bangladeshi migrants: hazardous living conditions, risky jobs, suicidal ideation, and tobacco consumption. Additionally, the authors found some HIV/STI risk behavior among them including engaging in unprotected sex, consuming alcohol and drugs during sexual activity, and having limited access to medical facilities.

Conclusions
The findings of this study can be used by health professional, governments, policymakers, NGOs, and concerned agencies to develop welfare strategies and initiatives for vulnerable undocumented migrant workers.
The factors affecting substance abuse relapse based on theory of planned behavior in male addicts covered by addiction treatment centers in Southern Iran
Authors: Sohrabpour Mojtaba , Kamyab Amirhossein , Yari Asiyeh , Harsini Pooyan Afzali , Khani Jeihooni Ali 
Published: May 2024

Abstract
Background
Given the destructive nature of addiction and its relapse after quitting, the present study aimed to investigate the factors affecting substance abuse relapse based on the Theory of Planned Behavior (TPB) in male addicts covered by addiction treatment centers in Shiraz, Iran.

Methods
This cross-sectional study was conducted on 400 male addicts covered by addiction treatment centers in Shiraz, Iran, in 2021–2022. The data collection tool was a researcher-made questionnaire. Data were analyzed using SPSS-22 software through descriptive statistical methods, linear regression, and binary logistic regression.

Results
190 people (47.50%) were aged 31–40 years, 265 people (66.25%) were married, 224 people (56%) lived with their spouses, and 192 people (48 percent) had their first use at the age of 16–20. The substance respondents used were methamphetamine (59.5%), heroin (53%), opium (48%), and alcohol (40%). 138 people (34.5%) had their first place of consumption at friends’ houses (Tables 1 and 2).

342 people (85.5%) had a history of relapse, and 172 people (50.29%) had 1–5 relapses. Marital status, occupation, and income were among the demographic risk factors, and addicted friends and close relatives were among the behavioral risk factors for drug relapse among people with a history of relapse. Personal desire and the insistence of friends were also among the individual and interpersonal factors of drug use among participants. The regression results showed that the constructs of awareness, attitude, subjective norms, perceived behavioral control, and behavioral intention were predictors of drug relapse among addicts (P < 0.05).

Conclusion
The current study’s findings indicate that among the behavioral risk factors for drug relapse in individuals with a history of relapse are addicted friends and close relatives, while marital status, occupation, and income are among the demographic risk variables. Among the individual and interpersonal factors influencing drug usage among participants were personal desire and friends’ insistence. Furthermore, the findings indicated that the TPB’s structures might be used to predict drug relapse in addicts.
Bayesian network analysis of factors influencing type 2 diabetes, coronary heart disease, and their comorbidities
Authors: Kong Danli , Chen Rong , Chen Yongze , Zhao Le , Huang Ruixian , Luo Ling , Lai Fengxia , Yang Zihua , Wang Shuang , Zhang Jingjing , Chen Hao , Mai Zhenhua , Yu Haibing , Wu Keng , Ding Yuanlin 
Published: May 2024

Abstract
Objective
Bayesian network (BN) models were developed to explore the specific relationships between influencing factors and type 2 diabetes mellitus (T2DM), coronary heart disease (CAD), and their comorbidities. The aim was to predict disease occurrence and diagnose etiology using these models, thereby informing the development of effective prevention and control strategies for T2DM, CAD, and their comorbidities.

Method
Employing a case-control design, the study compared individuals with T2DM, CAD, and their comorbidities (case group) with healthy counterparts (control group). Univariate and multivariate Logistic regression analyses were conducted to identify disease-influencing factors. The BN structure was learned using the Tabu search algorithm, with parameter estimation achieved through maximum likelihood estimation. The predictive performance of the BN model was assessed using the confusion matrix, and Netica software was utilized for visual prediction and diagnosis.

Result
The study involved 3,824 participants, including 1,175 controls, 1,163 T2DM cases, 982 CAD cases, and 504 comorbidity cases. The BN model unveiled factors directly and indirectly impacting T2DM, such as age, region, education level, and family history (FH). Variables like exercise, LDL-C, TC, fruit, and sweet food intake exhibited direct effects, while smoking, alcohol consumption, occupation, heart rate, HDL-C, meat, and staple food intake had indirect effects. Similarly, for CAD, factors with direct and indirect effects included age, smoking, SBP, exercise, meat, and fruit intake, while sleeping time and heart rate showed direct effects. Regarding T2DM and CAD comorbidities, age, FBG, SBP, fruit, and sweet intake demonstrated both direct and indirect effects, whereas exercise and HDL-C exhibited direct effects, and region, education level, DBP, and TC showed indirect effects.

Conclusion
The BN model constructed using the Tabu search algorithm showcased robust predictive performance, reliability, and applicability in forecasting disease probabilities for T2DM, CAD, and their comorbidities. These findings offer valuable insights for enhancing prevention and control strategies and exploring the application of BN in predicting and diagnosing chronic diseases.
The varying estimation of infertility in Ethiopia: the need for a comprehensive definition
Authors: Araya Bilen Mekonnen , Aldersey Heather M. , Camara Saionara , Alemu Kassahun , Dyer Silke , Velez Maria P. 
Published: May 2024

Abstract
Background
Infertility is a marginalized sexual and reproductive health issue in low-resource settings. Globally, millions are affected by infertility, but the lack of a universal definition makes it difficult to estimate the prevalence of infertility at the population level. Estimating the prevalence of infertility may inform targeted and accessible intervention, especially for a resource-limited country like Ethiopia. This study aims to estimate the prevalence of female infertility in Ethiopia using the Demographic and Health Survey (DHS) through two approaches: (i) the demographic approach and (ii) the current duration approach.

Methods
Data from 15,683 women were obtained through the 2016 Ethiopian DHS. The demographic approach estimates infertility among women who had been married/in a union for at least five years, had never used contraceptives, and had a fertility desire. The current duration approach includes women at risk of pregnancy at the time of the survey and determines their current length of time-at-risk of pregnancy at 12, 24, and 36 months. Logistic regression analysis estimated the prevalence of infertility and factors associated using the demographic approach. Parametric survival analysis estimated the prevalence of infertility using the current duration approach. All estimates used sampling weights to account for the DHS sampling design. STATA 14 and R were used to perform the statistical analysis.

Results
Using the demographic definition, the prevalence of infertility was 7.6% (95% CI 6.6–8.8). When stratified as primary and secondary infertility, the prevalence was 1.4% (95% CI 1.0-1.9) and 8.7% (95% CI 7.5–10.1), respectively. Using the current duration approach definition, the prevalence of overall infertility was 24.1% (95% CI 18.8–34.0) at 12-months, 13.4% (95% CI 10.1–18.6) at 24-months, and 8.8% (95% CI 6.5–12.3) at 36-months.

Conclusion
The demographic definition of infertility resulted in a lower estimate of infertility. The current duration approach definition could be more appropriate for the early detection and management of infertility in Ethiopia. The findings also highlight the need for a comprehensive definition of and emphasis on infertility. Future population-based surveys should incorporate direct questions related to infertility to facilitate epidemiological surveillance.
Effectiveness and feasibility of 5G-based remote interactive ultrasound training in critical care
Authors: Shen Peng , An Youzhong , Hao Chenxiao , Lyu Jie , Zhao Huiying 
Published: May 2024

Abstract
Background
Ultrasound has widely used in various medical fields related to critical care. While online and offline ultrasound trainings are faced by certain challenges, remote ultrasound based on the 5G cloud platform has been gradually adopted in many clinics. However, no study has used the 5G remote ultrasound cloud platform operating system for standardized critical care ultrasound training. This study aimed to evaluate the feasibility and effectiveness of 5G-based remote interactive ultrasound training for standardized diagnosis and treatment in critical care settings.

Methods
A 5G-based remote interactive ultrasound training system was constructed, and the course was piloted among critical care physicians. From July 2022 to July 2023, 90 critical care physicians from multiple off-site locations were enrolled and randomly divided into experimental and control groups. The 45 physicians in the experimental group were trained using the 5G-based remote interactive ultrasound training system, while the other 45 in the control group were taught using theoretical online videos. The theoretical and practical ultrasonic capabilities of both groups were evaluated before and after the training sessions, and their levels of satisfaction with the training were assessed as well.

Results
The total assessment scores for all of the physicians were markedly higher following the training (80.7 ± 11.9) compared to before (42.1 ± 13.4) by a statistically significant margin (P < 0.001). Before participating in the training, the experimental group scored 42.2 ± 12.5 in the critical care ultrasound competency, and the control group scored 41.9 ± 14.3—indicating no significant differences in their assessment scores (P = 0.907). After participating in the training, the experimental group’s assessment scores were 88.4 ± 6.7, which were significantly higher than those of the control group (72.9 ± 10.8; P < 0.001). The satisfaction score of the experimental group was 42.6 ± 2.3, which was also significantly higher than that of the control group (34.7 ± 3.1, P < 0.001).

Conclusion
The 5G-based remote interactive ultrasound training system was well-received and effective for critical care. These findings warrant its further promotion and application.
Physical fitness decline and career paths: a longitudinal study of medical undergraduates
Authors: Tang Haitao , Wang Jinsong , Bao Ji , Zhang Lie 
Published: May 2024

Abstract
Introduction
Exercise enhances one's health and competitiveness. A strong physical fitness status can pave the way for a promising future. This study presents the time-based trends in physical fitness indicators—including height, weight, BMI, lung capacity, dash, long-distance running, and standing long jump—among medical undergraduates during their university years. Additionally, we analyzed the impact of students' physical fitness on their career paths.

Method
We conducted a retrospective database study by collecting physical fitness test data and career paths information for 634 medical students from a university in southwestern China. These students graduated in 2022. The career paths included pursuits in further studies, employment, and unemployment. To detect differences in these aspects, we used the t-test and Chi-square test.

Results
Our study indicates a significant declining trend in the physical fitness of medical students during their university years. The changes observed between the first and fourth tests are as follows:

Weight (kg): 58.52 ± 10.48 to 60.73 ± 12.07, P < 0.00

BMI (kg/m^2): 20.79 ± 2.74 to 21.24 ± 3.06, P < 0.00

50-m dash (s): 8.91 ± 0.99 to 9.25 ± 1.11, P < 0.00

Standing long jump (cm): 187.74 ± 30.98 to 182.59 ± 32.25, P < 0.00

800-m run for females (min): 3.84 ± 0.47 to 4.48 ± 0.85, P < 0.00

1000-m run for males (min): 3.98 ± 0.63 to 4.62 ± 0.87, P < 0.00

Sit-ups for females (count): 30.39 ± 7.5 to 29.03 ± 8.82, P < 0.00

Upon analyzing the correlation between changes in physical fitness and career paths, students with stable or decreased BMI had better post-graduation outcomes compared to students with increased BMI.

Conclusions
Medical students show a declining trend in physical fitness during their undergraduate years. A good physical health status is beneficial for achieving better career paths. Medical students should place greater emphasis on physical exercise during their time in school.
A comprehensive study on machine learning models combining with oversampling for bronchopulmonary dysplasia-associated pulmonary hypertension in very preterm infants
Authors: Wang Dan , Huang Shuwei , Cao Jingke , Feng Zhichun , Jiang Qiannan , Zhang Wanxian , Chen Jia , Kutty Shelby , Liu Changgen , Liao Wenyu , Zhang Le , Zhu Guli , Guo Wenhao , Yang Jie , Liu Lin , Yang Jingwei , Li Qiuping 
Published: May 2024

Abstract
Background
Bronchopulmonary dysplasia-associated pulmonary hypertension (BPD-PH) remains a devastating clinical complication seriously affecting the therapeutic outcome of preterm infants. Hence, early prevention and timely diagnosis prior to pathological change is the key to reducing morbidity and improving prognosis. Our primary objective is to utilize machine learning techniques to build predictive models that could accurately identify BPD infants at risk of developing PH.

Methods
The data utilized in this study were collected from neonatology departments of four tertiary-level hospitals in China. To address the issue of imbalanced data, oversampling algorithms synthetic minority over-sampling technique (SMOTE) was applied to improve the model.

Results
Seven hundred sixty one clinical records were collected in our study. Following data pre-processing and feature selection, 5 of the 46 features were used to build models, including duration of invasive respiratory support (day), the severity of BPD, ventilator-associated pneumonia, pulmonary hemorrhage, and early-onset PH. Four machine learning models were applied to predictive learning, and after comprehensive selection a model was ultimately selected. The model achieved 93.8% sensitivity, 85.0% accuracy, and 0.933 AUC. A score of the logistic regression formula greater than 0 was identified as a warning sign of BPD-PH.

Conclusions
We comprehensively compared different machine learning models and ultimately obtained a good prognosis model which was sufficient to support pediatric clinicians to make early diagnosis and formulate a better treatment plan for pediatric patients with BPD-PH.
Effects of non-invasive respiratory support in post-operative patients: a systematic review and network meta-analysis
Authors: Pettenuzzo Tommaso , Boscolo Annalisa , Pistollato Elisa , Pretto Chiara , Giacon Tommaso Antonio , Frasson Sara , Carbotti Francesco Maria , Medici Francesca , Pettenon Giovanni , Carofiglio Giuliana , Nardelli Marco , Cucci Nicolas , Tuccio Clara Letizia , Gagliardi Veronica , Schiavolin Chiara , Simoni Caterina , Congedi Sabrina , Monteleone Francesco , Zarantonello Francesco , Sella Nicolò , De Cassai Alessandro , Navalesi Paolo 
Published: May 2024

Abstract
Background
Re-intubation secondary to post-extubation respiratory failure in post-operative patients is associated with increased patient morbidity and mortality. Non-invasive respiratory support (NRS) alternative to conventional oxygen therapy (COT), i.e., high-flow nasal oxygen, continuous positive airway pressure, and non-invasive ventilation (NIV), has been proposed to prevent or treat post-extubation respiratory failure. Aim of the present study is assessing the effects of NRS application, compared to COT, on the re-intubation rate (primary outcome), and time to re-intubation, incidence of nosocomial pneumonia, patient discomfort, intensive care unit (ICU) and hospital length of stay, and mortality (secondary outcomes) in adult patients extubated after surgery.

Methods
A systematic review and network meta-analysis of randomized and non-randomized controlled trials. A search from Medline, Embase, Scopus, Cochrane Central Register of Controlled Trials, and Web of Science from inception until February 2, 2024 was performed.

Results
Thirty-three studies (11,292 patients) were included. Among all NRS modalities, only NIV reduced the re-intubation rate, compared to COT (odds ratio 0.49, 95% confidence interval 0.28; 0.87, p = 0.015, I2 = 60.5%, low certainty of evidence). In particular, this effect was observed in patients receiving NIV for treatment, while not for prevention, of post-extubation respiratory failure, and in patients at high, while not low, risk of post-extubation respiratory failure. NIV reduced the rate of nosocomial pneumonia, ICU length of stay, and ICU, hospital, and long-term mortality, while not worsening patient discomfort.

Conclusions
In post-operative patients receiving NRS after extubation, NIV reduced the rate of re-intubation, compared to COT, when used for treatment of post-extubation respiratory failure and in patients at high risk of post-extubation respiratory failure.
Knowledge and attitudes towards performing resuscitation among seniors - a population-based study
Authors: Kłosiewicz Tomasz , Śmigasiewicz Sandra , Cholerzyńska Hanna , Zasada Wiktoria , Czabański Adam , Puślecki Mateusz 
Published: May 2024

Abstract
Background
Cardiac arrest constitutes a critical medical emergency necessitating swift intervention to reinstate normal heart rhythm and prevent harm to vital organs. The pivotal role of bystander cardiopulmonary resuscitation (CPR) in influencing survival rates is well recognized. With older adults being the most common group to witness such events, it’s curcial to understand their attitudes and knowledge about performing CPR. Additionally, understanding if health status has an influence can help in tailoring education for specific seniors needs.

Methods
A cross-sectional survey was sent to University of the Third Age (UTA) students. The survey comprised sections focusing on demographic data, CPR knowledge, automated external defibrillator (AED) knowledge, first aid training, and readiness to perform CPR and use AEDs. Participants’ health conditions were also assessed through multiple-choice options.

Results
We received 456 responses. Significant awareness of emergency numbers and cardiac arrest recognition was revealed. However, knowledge gaps persisted, particularly in compression rates. Most participants comprehended AED usage, yet training primarily relied on theoretical approaches. Health conditions notably affected CPR readiness, with associations between specific chronic diseases and willingness to perform CPR.

Conclusions
Addressing knowledge gaps and tailoring education for elderly needs are crucial for improving survival rates. Future research should explore barriers to bystander CPR during out-of-hospital cardiac arrests to further enhance survival prospects.