bluuebunny/crossref_metadata_2025_split huggingface dataset:
The association between anxiety and internet addiction among left-behind secondary school students: the moderating effect of social support and family types
Authors: Miao Siwei , Xu Lu , Gao Sihong , Bai Cuiping , Huang Yan , Peng Bin 
Published: May 2024

Abstract
Background
The left-behind children (LBC), children and adolescents aged 0–18 whose parents have migrated for economic purposes for extended periods exceeding three months, present a unique social concern. These children remain in their place of household registration, often under the guardianship of relatives, while receiving compulsory education. LBC with growing Internet addiction (IA) have made it urgent to take a close look at the mechanisms and effective interventions for them. Anxiety has been proven to be correlated with IA in adolescents; however, the mechanisms of addiction in this population are less well-fully grasped. Based on the current theories and empirical results, the study examined whether and how social support (SS) and family types moderated the associations between anxiety and IA among left-behind secondary students.

Methods
Stratified cluster sampling survey. A questionnaire was administered to 5290 secondary school children (2553 classified as left-behind) to explore the relationships between anxiety, IA, left-behind types, family types, and social support. This cross-sectional study employed a stratified cluster sampling survey of students in the ethnic areas of southeast Chongqing. The study sought to appraise the relationships between anxiety and IA in different types of left-behind children and to assess the potential moderating effect of SS on the relationship among the population and its family types differences.

Results
The relationship between anxiety and IA was moderated significantly by social support and family types. Notably, the impact of social support on the moderating effect between IA and anxiety varied among students from both family types. For students from families where both parents had migrated, social support weakened the association between IA and anxiety. Conversely, for students from single-parent families where the parent had migrated, social support seemed to strengthen the relationships between these two issues.

Conclusions
The moderating effects of SS on the relationship between anxiety and IA differs based on family type among various groups of left-behind secondary students. Gaining insights into the IA mechanisms can guide the development of targeted intervention strategies aimed at minimizing IA among diverse groups of left-behind students.
An inverse association of dietary choline with atherosclerotic cardiovascular disease among US adults: a cross-sectional NHANES analysis
Authors: Lin Hui , Zhong Zuoquan , Zhang Chuanjin , Jin Xiaojun , Qi Xuchen , Lian Jiangfang 
Published: May 2024

Abstract
Background
The role of diet choline in atherosclerotic cardiovascular disease (ASCVD) is uncertain. Findings from animal experiments are contradictory while there is a lack of clinical investigations. This study aimed to investigate the association between choline intake and ASCVD based on individuals from the National Health and Nutrition Examination Survey (NHANES) database.

Methods
This cross-sectional study was conducted in 5525 individuals from the NHANES between 2011 and 2018. Participants were categorized into the ASCVD (n = 5015) and non-ASCVD (n = 510) groups. Univariable and multivariable-adjusted regression analyses were employed to investigate the relationship between diet choline and pertinent covariates. Logistic regression analysis and restricted cubic spline analysis were used to evaluate the association between choline intake and ASCVD.

Results
ASCVD participants had higher choline intake compared to those without ASCVD. In the higher tertiles of choline intake, there was a greater proportion of males, married individuals, highly educated individuals, and those with increased physical activity, but a lower proportion of smokers and drinkers. In the higher tertiles of choline intake, a lower proportion of individuals had a history of congestive heart failure and stroke. After adjusting for age, gender, race, ethnicity, and physical activity, an inverse association between choline intake and heart disease, stroke, and ASCVD was found. A restricted cubic spline analysis showed a mirrored J-shaped relationship between choline and ASCVD, stroke and congestive heart failure in males. There was no association between dietary choline and metabolic syndrome.

Conclusion
An inverse association was observed between choline intake and ASVCD among U.S. adults. Further large longitudinal studies are needed to test the causal relationship of choline and ASVCD.
A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient’s medical history
Authors: Cho Daeahn , Yu Myeong-Sang , Shin Jeongyoon , Lee Jingyu , Kim Yubin , Kang Hoon-Chul , Kim Se Hee , Na Dokyun 
Published: May 2024

Abstract
Background
Epilepsy, a chronic brain disorder characterized by abnormal brain activity that causes seizures and other symptoms, is typically treated using anti-epileptic drugs (AEDs) as the first-line therapy. However, due to the variations in their modes of action, identification of effective AEDs often relies on ad hoc trials, which is particularly challenging for pediatric patients. Thus, there is significant value in computational methods capable of assisting in the selection of AEDs, aiming to minimize unnecessary medication and improve treatment efficacy.

Results
In this study, we collected 7,507 medical records from 1,000 pediatric epilepsy patients and developed a computational clinical decision-supporting system for AED selection. This system leverages three multi-channel convolutional neural network (CNN) models tailored to three specific AEDs (vigabatrin, prednisolone, and clobazam). Each CNN model predicts whether a respective AED is effective on a given patient or not. The CNN models showed AUROCs of 0.90, 0.80, and 0.92 in 10-fold cross-validation, respectively. Evaluation on a hold-out test dataset further revealed positive predictive values (PPVs) of 0.92, 0.97, and 0.91 for the three respective CNN models, representing that suggested AEDs by our models would be effective in controlling epilepsy with a high accuracy and thereby reducing unnecessary medications for pediatric patients.

Conclusion
Our CNN models in the system demonstrated high PPVs for the three AEDs, which signifies the potential of our approach to support the clinical decision-making by assisting doctors in recommending effective AEDs within the three AEDs for patients based on their medical history. This would result in a reduction in the number of unnecessary ad hoc attempts to find an effective AED for pediatric epilepsy patients.
Development of a training program prototype to enhance implementation leadership competencies and behaviours of Chinese unit nurse managers: a qualitative descriptive study
Authors: Chen Wenjun , Graham Ian D. , Hu Jiale , Lewis Krystina B. , Zhao Junqiang , Gifford Wendy 
Published: May 2024

Abstract
Background
Unit nurse managers hold essential positions that can facilitate implementation of evidence-based practice. Studies showed that nurse managers in China lacked competencies and behaviours necessary to lead evidence-based practice implementation. The aim of the current study was to develop a context-fit training program prototype to enhance leadership competencies and behaviours regarding evidence-based practice implementation of Chinese unit nurse managers.

Method
We used a descriptive qualitative study design and followed the integrated knowledge translation approach to co-develop the prototype in a tertiary hospital in Changsha, China. Seven nurse managers from the participated hospital and a researcher co-developed the prototype based on the Ottawa Model of Implementation Leadership (O-MILe). The development process encompassed four phases from November 2021 to March 2022 that involved group discussions (n = 4) and individual interviews (n = 21). All data were analysed by two independent researchers using the thematic analysis method.

Results
Managers agreed that all O-MILe behaviours were important to evidence-based practice implementation, and only minor modifications were needed for clarification and adaptation. The actions managers identified that could operationalize the leadership behaviours were related to current clinical practices, evidence-based practice, nurses, patients, interprofessional staff members, incentives and resources, organization and external entities. Three types of general competencies related to evidence-based practice, professional nursing, and implementation leadership were identified. Multimodal activities such as lectures, experience sharing, group discussions, plan development and coaching were suggested to deliver the training program.

Conclusions
All O-MILe leadership behaviours were perceived as essential for unit nurse managers to lead EBP implementation in the hospital context in China. We identified the leadership actions and the competencies required for nursing managers to implement EBP in China. Further studies are required to evaluate the acceptability and impact of this prototype. Further studies with large sample sizes across various clinical settings are needed to facilitate the generalization of the findings and gain an in-depth understanding of the program.
A scale for measuring nursing digital application skills: a development and psychometric testing study
Authors: Qin Shijia , Zhang Jianzhong , Sun Xiaomin , Meng Ge , Zhuang Xinqi , Jia Yitong , Shi Wen-Xin , Zhang Yin-Ping 
Published: May 2024

Abstract
Background
The adoption of digitization has emerged as a new trend in the advancement of healthcare systems. To ensure high-quality care, nurses should possess sufficient skills to assist in the digital transformation of healthcare practices. Suitable tools have seldom been developed to assess nurses’ skills in digital applications. This study aimed to develop the Nursing Digital Application Skill Scale (NDASS) and test its psychometric properties.

Methods
The Nursing Digital Application Skill Scale was developed in three phases. In Phase 1, an item pool was developed based on previous literature and the actual situation of nursing work. Phase 2 included 14 experts’ assessment of content validity and a focus group interview with 30 nurses to pretest the scale. In phase 3, 429 registered nurses were selected from March to June 2023, and item analysis, exploratory factor analysis, and confirmatory factor analysis were used to refine the number of items and explore the factor structure of the scale. Additionally, reliability was determined by internal consistency and test-retest reliability.

Results
The final version of the NDASS consisted of 12 items. The content validity index of NDASS reached 0.975 at an acceptable level. The convergent validity test showed that the average variance extracted value was 0.694 (> 0.5) and the composite reliability value was 0.964 (> 0.7), both of which met the requirements. The principal component analysis resulted in a single-factor structure explaining 74.794% of the total variance. All the fitting indices satisfied the standard based upon confirmatory factor analyses, indicating that the single-factor structure contributed to an ideal model fit. The internal consistency appeared high for the NDASS, reaching a Cronbach’s alpha value of 0.968. The test-retest reliability was 0.740, and the split-half coefficient was 0.935.

Conclusion
The final version of the NDASS, which possesses adequate psychometric properties, is a reliable and effective instrument for nurses to self-assess digital skills in nursing work and for nursing managers in designing nursing digital skill training.
Long COVID clinics and services offered by top US hospitals: an empirical analysis of clinical options as of May 2023
Authors: Haslam Alyson , Prasad Vinay 
Published: May 2024

Abstract
Background
The economic and health burden of COVID-19 has transformed the healthcare system in the US. Hospitals have adapted to the heterogeneity in long COVID symptoms, and the sheer number of people affected by this condition, by building long COVID centers and programs.

Objective
We sought to describe characteristics, services, and clinical trials of long COVID centers at top US hospitals.

Design
Cross-sectional analysis.

Participants
Long COVID treatment programs or centers at top US hospitals.

Exposures
Frequency of long COVID centers, eligibility for being treated, the services they provide, specialist to whom the patients may be referred, and the long COVID clinical trials in which these hospitals participate.

Findings
Most top hospitals in the US (n = 43/50; 86%) offer long COVID services. 65% (28/43) did not describe the services provided. 12 (28%) required a referral from a primary care physician. The most common services were meeting with a team member (n = 20; 47%), ordering lab and/or radiology services (n = 8; 18.6%), and administering a physical exam (n = 7; 16%). 7 (16%) centers/programs treated only adults; 5 (12%) treated both adults and children, and 31 (72%) did not specify. The most common specialists described were psychology (n = 25; 58%), neurology (n = 25; 58%), and pulmonary (n = 24; 56%). Sixty-three trials (of 134 long COVID clinical trials) had at least one top hospital listed as a study site. The median number of clinical trials that each hospital sponsored or was a study site was 2 (interquartile range: 1, 3).

Conclusions and relevance
We find that services offered at long COVID clinics at top hospitals in the US often include meeting with a team member and referrals to a wide range of specialists. The diversity in long COVID services offered parallels the diversity in long COVID symptoms, suggesting a need for better consensus in developing and delivering treatment.
Early development of local data dashboards to depict the substance use care cascade for youth involved in the legal system: qualitative findings from end users
Authors: Dir Allyson L. , O’Reilly Lauren , Pederson Casey , Schwartz Katherine , Brown Steven A. , Reda Khairi , Gillenwater Logan , Gharbi Sami , Wiehe Sarah E. , Adams Zachary W. , Hulvershorn Leslie A. , Zapolski Tamika C.B. , Boustani Malaz , Aalsma Matthew C. 
Published: May 2024

Abstract
Introduction
Rates of substance use are high among youth involved in the legal system (YILS); however, YILS are less likely to initiate and complete substance use treatment compared to their non legally-involved peers. There are multiple steps involved in connecting youth to needed services, from screening and referral within the juvenile legal system to treatment initiation and completion within the behavioral health system. Understanding potential gaps in the care continuum requires data and decision-making from these two systems. The current study reports on the development of data dashboards that integrate these systems’ data to help guide decisions to improve substance use screening and treatment for YILS, focusing on end-user feedback regarding dashboard utility.

Methods
Three focus groups were conducted with n = 21 end-users from juvenile legal systems and community mental health centers in front-line positions and in decision-making roles across 8 counties to gather feedback on an early version of the data dashboards; dashboards were then modified based on feedback.

Results
Qualitative analysis revealed topics related to (1) important aesthetic features of the dashboard, (2) user features such as filtering options and benchmarking to compare local data with other counties, and (3) the centrality of consistent terminology for data dashboard elements. Results also revealed the use of dashboards to facilitate collaboration between legal and behavioral health systems.

Conclusions
Feedback from end-users highlight important design elements and dashboard utility as well as the challenges of working with cross-system and cross-jurisdiction data.
Imprinted Grb10, encoding growth factor receptor bound protein 10, regulates fetal growth independently of the insulin-like growth factor type 1 receptor (Igf1r) and insulin receptor (Insr) genes
Authors: Moorwood Kim , Smith Florentia M. , Garfield Alastair S. , Ward Andrew 
Published: May 2024

Abstract
Background
Optimal size at birth dictates perinatal survival and long-term risk of developing common disorders such as obesity, type 2 diabetes and cardiovascular disease. The imprinted Grb10 gene encodes a signalling adaptor protein capable of inhibiting receptor tyrosine kinases, including the insulin receptor (Insr) and insulin-like growth factor type 1 receptor (Igf1r). Grb10 restricts fetal growth such that Grb10 knockout (KO) mice are at birth some 25-35% larger than wild type. Using a mouse genetic approach, we test the widely held assumption that Grb10 influences growth through interaction with Igf1r, which has a highly conserved growth promoting role.

Results
Should Grb10 interact with Igf1r to regulate growth Grb10:Igf1r double mutant mice should be indistinguishable from Igf1r KO single mutants, which are around half normal size at birth. Instead, Grb10:Igf1r double mutants were intermediate in size between Grb10 KO and Igf1r KO single mutants, indicating additive effects of the two signalling proteins having opposite actions in separate pathways. Some organs examined followed a similar pattern, though Grb10 KO neonates exhibited sparing of the brain and kidneys, whereas the influence of Igf1r extended to all organs. An interaction between Grb10 and Insr was similarly investigated. While there was no general evidence for a major interaction for fetal growth regulation, the liver was an exception. The liver in Grb10 KO mutants was disproportionately overgrown with evidence of excess lipid storage in hepatocytes, whereas Grb10:Insr double mutants were indistinguishable from Insr single mutants or wild types.

Conclusions
Grb10 acts largely independently of Igf1r or Insr to control fetal growth and has a more variable influence on individual organs. Only the disproportionate overgrowth and excess lipid storage seen in the Grb10 KO neonatal liver can be explained through an interaction between Grb10 and the Insr. Our findings are important for understanding how positive and negative influences on fetal growth dictate size and tissue proportions at birth.
Associations of prenatal blood pressure trajectory and variability with child neurodevelopment at 2 years old
Authors: Xu Luli , Cheng Jiayi , Dong Xiaohan , Guo Menglan , Chen Kai , Fan Xiaoxuan , Mu Xiaofeng , Wang Yuji , Xia Zhiguo , Li Jun , Wang Youjie , Xiong Chao , Zhou Aifen 
Published: May 2024

Abstract

Background
The patterns of blood pressure (BP) change throughout the pregnancy were related to adverse birth outcomes. However, little is known about the long-term effect of BP change patterns on child neurodevelopment. This study aimed to explore the relationship between the BP trajectory and BP variability during pregnancy and early childhood neurodevelopment.

Method
A total of 2797 mother-newborn pairs were derived from the Wuhan Healthy Baby Cohort Study. BP was measured during each antenatal visit, and Mental and Psychomotor Development Indexes (MDI and PDI) were assessed using the Bayley Scales of Infant Development (BSID) when the children were 2 years old. Delayed neurodevelopment was defined as scores of PDI or MDI less than − 1SD relative to the mean score of the study population. A group-based multi-trajectory model was adopted to identify multi-trajectories of systolic blood pressure (SBP) and diastolic blood pressure (DBP). Visit-to-visit BP variability was assessed by the coefficient of variation (CV), standard deviation (SD), and average real variability (ARV). Generalized linear models and multivariate logistic regressions were used to assess the associations of BP trajectories and variability with BSID scores and delayed neurodevelopment, respectively.

Results
Five distinct trajectories for SBP and DBP were identified, namely, “Low-increasing,” “Low-stable,” “Moderate-decreasing,” “Moderate-increasing,” and “High-stable” groups. Compared with the “Low-stable” group, the children whose mothers’ BP fell into the other four groups had lower PDI scores, and mothers in the “Low-increasing,” “Moderate-increasing,” and “Moderate-decreasing” groups had 43% (OR: 1.43, 95% CI: 1.01, 2.03), 48% (OR: 1.48, 95% CI: 1.05, 2.08) and 45% (OR:1.45, 95% CI: 1.03, 2.04) higher risk of having offspring with delayed psychomotor neurodevelopment, respectively. High DBP variability was associated with lower BSID scores, and delayed psychomotor neurodevelopment (OR = 1.46, 95% CI: 1.10, 1.92 for DBP-SD; OR = 1.53, 95% CI: 1.16, 2.02 for DBP-CV).

Conclusion
Our findings suggest that BP change patterns assessed by multi-trajectory and visit-to-visit variability were associated with lower BSID scores and delayed neurodevelopment. Health professionals should be aware of the influence of BP level and its oscillations during pregnancy on the risk of delayed neurodevelopment.
Distribution of sequence types and antimicrobial resistance of clinical Pseudomonas aeruginosa isolates from dogs and cats visiting a veterinary teaching hospital in Thailand
Authors: Jangsangthong Arunee , Lugsomya Kittitat , Apiratwarrasakul Sukanya , Phumthanakorn Nathita 
Published: May 2024

Abstract
Background
Pseudomonas aeruginosa is an important opportunistic pathogen in dogs and cats and is resistant to several antimicrobial drugs; however, data on the clonal distribution of P. aeruginosa in veterinary hospital are limited. This study aimed to investigate the clonal dissemination and antimicrobial resistance of clinical P. aeruginosa in a veterinary teaching hospital in Thailand within a 1-year period. Minimum inhibitory concentration determination and whole genome sequencing were used for antimicrobial susceptibility analysis and genetic determination, respectively.

Results
Forty-nine P. aeruginosa were isolated mostly from the skin, urinary tract, and ear canal of 39 dogs and 10 cats. These isolates belonged to 39 sequence types (STs) that included 9 strains of high-risk clones of ST235 (n = 2), ST244 (n = 2), ST274 (n = 2), ST277 (n = 1), ST308 (n = 1), and ST357 (n = 1). Overall antimicrobial resistance rate was low (< 25%), and no colistin-resistant strains were found. Two carbapenem-resistant strains belonging to ST235 and ST3405 were identified.

Conclusions
Clinical P. aeruginosa in dogs and cats represent STs diversity. High-risk clones and carbapenem-resistant strains are a public health concern. Nevertheless, this study was limited by a small number of isolates. Continuous monitoring is needed, particularly in large-scale settings with high numbers of P. aeruginosa, to restrict bacterial transfer from companion animal to humans in a veterinary hospital.