bluuebunny/crossref_metadata_2025_split huggingface dataset:
Leo program, a short multi-family skill-based psychoeducational program for caregivers of relatives living with a severe mental disorder: a retrospective pilot study
Authors: Lespine Louis-Ferdinand , de Martène Bénédicte , Zeltner Blandine , Chenu Bénédicte , Berbey Céline Dubien , Rey Romain 
Published: May 2024

BackgroundCaring for a relative with a severe mental disorder (SMD) is associated with high levels of burden and poor physical and mental health. There is a dire need for family psychoeducational programs that can be provided as early as possible. This manuscript describes the pilot testing of “Leo” a motivational-based psychoeducational program for caregivers of individuals with a SMD. The Leo program aims to provide caregivers with skills to best support their relative and to adopt self-care behaviors.MethodsWe retrospectively analyzed medical records of caregivers who enrolled in a short, multi-family, skill-based psychoeducational program, consisting of eight 3-hour sessions over 8 weeks. Outcomes of interest included: i) adherence to the program, ii) satisfaction and perceived usefulness, and iii) pre-post changes in self-reported levels of depression (CES-D), burden (ZBI), and skills (10 Likert-scaled items). A network analysis was used to investigate the relationships between pre-post changes in self-evaluated skills and pre-post changes in burden and depression levels.ResultsOver the 91 enrolled participants, 87 (95.6%) completed the program attending at least 5/8 sessions, 80.5% attending all sessions. Seventy-six caregivers fulfilled the questionnaires at baseline and after the program, and were included in the analysis. Although there was no evidence for significant change in self-reported depression levels (Cohen’s d=0.19, p=0.210), burden scores and all evaluated skills were improved post-intervention, with medium to strong effect size (Cohen’s ds from 0.47 to 0.87; p&lt;0.001). Network output indicated that increased self-evaluated competence in 5 skills were associated with a global improvement in caregivers’ burden and/or depression scores. Post-intervention, 89.7% of caregivers were “very satisfied” and 82.1% found the program “extremely useful”.ConclusionThis pilot retrospective study shows high levels of satisfaction, perceived usefulness, and adherence to “Leo”, a short, multi-family, skill-based psychoeducational program with promising results in improving caregivers’ burden, self-evaluated competence in coping with caregiving demands and in self-care behaviors. This study provides preliminary insights into the mechanisms by which family psychoeducation might alleviate burden of care. A larger-scaled, controlled, randomized study with follow-up assessments is warranted to determine how burden, depression, and skills, as well as their inter-relationships, evolve over time.
Examining childhood experiences and personality functioning as potential predictors for the speed of recovery during psychotherapy of patients with anxiety disorders
Authors: Nowak Jonathan , Nikendei Christoph , Rollmann Ivo , Orth Maximilian , Friederich Hans-Christoph , Kindermann David 
Published: May 2024

BackgroundAdverse childhood experiences were previously identified as relevant risk factors for the development of anxiety disorders. Furthermore, anxiety disorders were shown to be associated with impairments of personality functioning. The objective of this study was to investigate adverse and protective childhood experiences as well as personality functioning, as defined by the Operationalized Psychodynamic Diagnosis system, as potential predictors for the speed of recovery during psychotherapy for patients with anxiety disorders.MethodsThe sample consisted of n = 312 completed psychotherapies. The speed of recovery, defined as symptom abatement over time, was calculated using a two-stage hierarchical linear model. The effects of adverse and protective childhood experiences as well as personality functioning on the speed of recovery during psychotherapy were then examined using a structural equation model.ResultsThe presence of adverse childhood experiences predicted a lower speed of recovery during psychotherapy. In addition, a higher number of adverse childhood experiences was associated with greater impairments in the abilities of perception and regulation as dimensions of personality functioning. A higher number of protective childhood experiences was associated with fewer impairments in the communication and attachment dimensions. Impairments in personality functioning in patients with anxiety disorders did not predict the speed of recovery during psychotherapy.ConclusionsAmong patients with anxiety disorders, adverse childhood experiences lead to a lower speed of recovery during psychotherapy. Therefore, childhood adversity should be routinely assessed before and thoroughly addressed during psychotherapy in patients with anxiety disorders.
Clinical and serological predictors of post COVID-19 condition–findings from a Canadian prospective cohort study
Authors: Collins Erin , Galipeau Yannick , Arnold Corey , Bhéreur Anne , Booth Ronald , Buchan Arianne C. , Cooper Curtis , Crawley Angela M. , McCluskie Pauline S. , McGuinty Michaeline , Pelchat Martin , Rocheleau Lynda , Saginur Raphael , Gravel Chris , Hawken Steven , Langlois Marc-André , Little Julian 
Published: May 2024

IntroductionMore than 3 years into the pandemic, there is persisting uncertainty as to the etiology, biomarkers, and risk factors of Post COVID-19 Condition (PCC). Serological research data remain a largely untapped resource. Few studies have investigated the potential relationships between post-acute serology and PCC, while accounting for clinical covariates.MethodsWe compared clinical and serological predictors among COVID-19 survivors with (n = 102 cases) and without (n = 122 controls) persistent symptoms ≥12 weeks post-infection. We selected four primary serological predictors (anti-nucleocapsid (N), anti-Spike, and anti-receptor binding domain (RBD) IgG titres, and neutralization efficiency), and specified clinical covariates a priori.ResultsSimilar proportions of PCC-cases (66.7%, n = 68) and infected-controls (71.3%, n = 87) tested positive for anti-N IgG. More cases tested positive for anti-Spike (94.1%, n = 96) and anti-RBD (95.1%, n = 97) IgG, as compared with controls (anti-Spike: 89.3%, n = 109; anti-RBD: 84.4%, n = 103). Similar trends were observed among unvaccinated participants. Effects of IgG titres on PCC status were non-significant in univariate and multivariate analyses. Adjusting for age and sex, PCC-cases were more likely to be efficient neutralizers (OR 2.2, 95% CI 1.11–4.49), and odds was further increased among cases to report deterioration in quality of life (OR 3.4, 95% CI 1.64–7.31). Clinical covariates found to be significantly related to PCC included obesity (OR 2.3, p = 0.02), number of months post COVID-19 (OR 1.1, p &lt; 0.01), allergies (OR 1.8, p = 0.04), and need for medical support (OR 4.1, p &lt; 0.01).ConclusionDespite past COVID-19 infection, approximately one third of PCC-cases and infected-controls were seronegative for anti-N IgG. Findings suggest higher neutralization efficiency among cases as compared with controls, and that this relationship is stronger among cases with more severe PCC. Cases also required more medical support for COVID-19 symptoms, and described complex, ongoing health sequelae. More data from larger cohorts are needed to substantiate results, permit subgroup analyses of IgG titres, and explore for differences between clusters of PCC symptoms. Future assessment of IgG subtypes may also elucidate new findings.
Physical frailty identification using machine learning to explore the 5-item FRAIL scale, Cardiovascular Health Study index, and Study of Osteoporotic Fractures index
Authors: Yang Chen-Cheng , Chen Po-Hong , Yang Cheng-Hong , Dai Chia-Yen , Luo Kuei-Hau , Chen Tzu-Hua , Chuang Hung-Yi , Kuo Chao-Hung 
Published: May 2024

BackgroundPhysical frailty is an important issue in aging societies. Three models of physical frailty assessment, the 5-Item fatigue, resistance, ambulation, illness and loss of weight (FRAIL); Cardiovascular Health Study (CHS); and Study of Osteoporotic Fractures (SOF) indices, have been regularly used in clinical and research studies. However, no previous studies have investigated the predictive ability of machine learning (ML) for physical frailty assessment. The aim was to use two ML algorithms, random forest (RF) and extreme gradient boosting (XGBoost), to predict these three physical frailty assessment models.Materials and methodsQuestionnaires regarding demographic characteristics, lifestyle habits, living environment, and physical frailty assessment were answered by 445 participants aged 60 years and above. The RF and XGBoost algorithms were used to assess their scores for the three physical frailty indices. Furthermore, feature importance and Shapley additive explanations (SHAP) were used to determine the important physical frailty factors.ResultsThe XGBoost algorithm obtained higher accuracy for predicting the three physical frailty indices; the areas under the curve obtained by the XGBoost algorithm for the 5-Item FRAIL, CHS, and SOF indices were 0.84. 0.79, and 0.69, respectively. The feature importance and SHAP of the XGBoost algorithm revealed that systolic blood pressure, diastolic blood pressure, age, and body mass index play important roles in all three physical frailty models.ConclusionThe XGBoost algorithm has a more accurate predictive rate than RF across all three physical frailty assessments. Thus, ML can be a useful tool for the early detection of physical frailty.
Analyzing the impact of unemployment on mental health among Chinese university graduates: a study of emotional and linguistic patterns on Weibo
Authors: Tan Miaoqing , Wu Zhigang , Li Jin , Liang Yuxi , Lv Wenting 
Published: May 2024

PurposeThis study explores the intricate relationship between unemployment rates and emotional responses among Chinese university graduates, analyzing how these factors correlate with specific linguistic features on the popular social media platform Sina Weibo. The goal is to uncover patterns that elucidate the psychological and emotional dimensions of unemployment challenges among this demographic.MethodsThe analysis utilized a dataset of 30,540 Sina Weibo posts containing specific keywords related to unemployment and anxiety, collected from January 2019 to June 2023. The posts were pre-processed to eliminate noise and refine the data quality. Linear regression and textual analyses were employed to identify correlations between unemployment rates for individuals aged 16–24 and the linguistic characteristics of the posts.ResultsThe study found significant fluctuations in urban youth unemployment rates, peaking at 21.3% in June 2023. A corresponding increase in anxiety-related expressions was noted in the social media posts, with peak expressions aligning with high unemployment rates. Linguistic analysis revealed that the category of “Affect” showed a strong positive correlation with unemployment rates, indicating increased emotional expression alongside rising unemployment. Other categories such as “Negative emotion” and “Sadness” also showed significant correlations, highlighting a robust relationship between economic challenges and emotional distress.ConclusionThe findings underscore the profound impact of unemployment on the emotional well-being of university students, suggesting that economic hardships are closely linked to psychological stress and heightened negative emotions. This study contributes to a holistic understanding of the socio-economic challenges faced by young adults, advocating for comprehensive support systems that address both the economic and psychological facets of unemployment.
Composition and influencing factors of professionals’ capacity in public health emergency rescues: a qualitative study
Authors: Zhong Fangfang , Lin Yin , Chen Ying , Gao Yazhuo , Zhu Xuehua 
Published: May 2024

ObjectiveTo explore the composition and influencing factors of professionals’ capacity in public health emergency rescues.MethodsA descriptive qualitative design was used in this study. Medical workers, managers, and members of an emergency rescue team in Hangzhou, Zhejiang, were recruited for participation through a purposive sampling method. The data were collected using semi-structured interviews and analyzed using a conventional content analysis method.FindingsA total of 2 themes and 13 sub-themes emerged from the analysis: ability composition (knowledge reserve, early warning assessment, information reporting, emergency response, self-protection, personal ability, coordination and cooperation, health education) and influencing factors (educational background, region, experience, hospital level, human resources, and financial investment).ConclusionThese findings offer a basis for the construction of a related indicator system and provide a reference for relevant departments to further optimize their emergency education and training, strengthen their emergency drills, and improve their emergency rescue abilities. The findings indicate that it is necessary to pay attention to the construction of an emergency rescue team, adjust the ratio of personnel, improve their remuneration, and promote work enthusiasm to improve the emergency rescue ability of an organization.
Original article: novelty of Canadian manufacture nasopharyngeal swabs for collection of samples being tested for SARS-CoV-2 in a pandemic setting
Authors: Palomino-Padilla Sandra , Caceres-Cardenas Guillermo , Calderon Rodrigo , Ko Alex C-T. , Garnett Lauren , Doan Kaylie , Chong Patrick , Lino Hammerly , Caceres Tatiana , Veres Teodor , Dos Santos Claudia C. , Nielsen Birgit , Ugarte-Gil Cesar 
Published: May 2024

ObjectivesThe COVID-19 pandemic caused a global shortage of nasopharyngeal (NP) swabs, required for RT-PCR testing. Canadian manufacturers were contacted to share NP swab innovations. The primary objective was to determine whether novel NP test swabs were comparable to commercially available swabs regarding user characteristics, ability to collect a specimen, and diagnostic performance using RT-PCR testing.MethodsParticipants were randomized by swab (test/control) and nostril (left/right). A calculated positive percent agreement ≥90% was considered successful. Mean Ct values of viral genes and housekeeping gene (RNase P) were considered similar if a Ct difference ≤ 2 between control and test group was obtained. There also was a qualitative assessment of swabs usability.Results647 participants were enrolled from Huaycan Hospital in Lima, Peru, distributed over 8 NP swabs brands. Seven brands agreed to share their results. There were no statistically significant differences between the test swabs of these 7 brands and control swabs.ConclusionAll the seven brands are comparable to the commercially available flocked swabs used for SARS-CoV-2 regarding test results agreement, ability to collect a specimen, and user characteristics.
Rational or altruistic: the impact of social media information exposure on Chinese youth’s willingness to donate blood
Authors: Zhang Zhijian , Liu Qilong 
Published: May 2024

BackgroundNon-remunerated blood donation is the main approach for various medical institutions to get the source of blood supply, but the blood supply shortage is still a problem in today’s society. Social media has become the main approach of information acquisition for youth groups nowadays, and the information on social media will have an impact on people’s behavioral decisions. The objective of this study was therefore to investigate the correlation between social media exposure to relevant information about blood donation and the willingness of youths to donate blood.MethodsWe collected data from 455 questionnaires through an online questionnaire and structural equation modeling was constructed for validation. Data were analyzed for reliability, validity, and demographic differences using IBM-SPSS 26.0, and IBM-SPSS-AMOS 26.0 was used for model fit analysis and path analysis.ResultsThe results of the study showed that there was a positive correlation between social media exposure to relevant blood donation information and willingness to donate blood (β = 0.262, p &lt; 0.001), altruism (β = 0.203, p &lt; 0.001) and self-efficacy (β = 0.170, p &lt; 0.001). While there was also a positive correlation between attitude toward blood donation and self-efficacy (β = 0.560, p &lt; 0.001), there was no positive correlation between it and willingness to donate blood (β = −0.180, p = 0.786). There was also a positive correlation between altruism and willingness to donate blood (β = 0.150, p &lt; 0.05) and attitude toward blood donation (β = 0.150, p &lt; 0.001). Similarly, there was a positive correlation between self-efficacy and willingness to donate blood (β = 0.371, p &lt; 0.001).ConclusionExposure to more information related to blood donation on social media can increase the willingness of the youth population to donate blood, while exposure to information related to altruism and self-efficacy on social media can also enhance young people’s attitudes toward blood donation, while further strengthening their willingness to donate.
Building a sharable literature collection to advance the science and practice of implementation facilitation
Authors: Ritchie Mona J. , Smith Jeffrey L. , Kim Bo , Woodward Eva N. , Kirchner JoAnn E. 
Published: May 2024

BackgroundImplementation science seeks to produce generalizable knowledge on strategies that promote the adoption and sustained use of evidence-based innovations. Literature reviews on specific implementation strategies can help us understand how they are conceptualized and applied, synthesize findings, and identify knowledge gaps. Although rigorous literature reviews can advance scientific knowledge and facilitate theory development, they are time-consuming and costly to produce. Improving the efficiency of literature review processes and reducing redundancy of effort is especially important for this rapidly developing field. We sought to amass relevant literature on one increasingly used evidence-based strategy, implementation facilitation (IF), as a publicly available resource.MethodsWe conducted a rigorous systematic search of PubMed, CINAHL, and Web of Science citation databases for peer-reviewed, English-language articles with “facilitation” and a combination of other terms published from January 1996 to December 2021. We searched bibliographies of articles published from 1996 to 2015 and identified articles during the full text review that reported on the same study. Two authors screened 3,168 abstracts. After establishing inter-rater reliability, they individually conducted full-text review of 786 relevant articles. A multidisciplinary team of investigators provided recommendations for preparing and disseminating the literature collection.FindingsThe literature collection is comprised of 510 articles. It includes 277 empirical studies of IF and 77 other articles, including conceptual/theoretical articles, literature reviews, debate papers and descriptions of large-scale clinical initiatives. Over half of the articles were published between 2017 and 2021. The collection is publicly available as an Excel file and as an xml file that can be imported into reference management software.ConclusionWe created a publicly accessible collection of literature about the application of IF to implement evidence-based innovations in healthcare. The comprehensiveness of this collection has the potential to maximize efficiency and minimize redundancy in scientific inquiry about this strategy. Scientists and practitioners can use the collection to more rapidly identify developments in the application of IF and to investigate a wide range of compelling questions on its use within and across different healthcare disciplines/settings, countries, and payer systems. We offer several examples of how this collection has already been used.
Evidence of Kelvin-Helmholtz and tearing mode instabilities at the magnetopause during space weather events
Authors: Biasiotti Lorenzo , Ivanovski Stavro , Calderone Lorenzo , Jerse Giovanna , Laurenza Monica , Del Moro Dario , Longo Francesco , Plainaki Christina , Marcucci Maria Federica , Milillo Anna , Molinaro Marco , Feruglio Chiara 
Published: May 2024

Introduction: Kelvin-Helmholtz (KH) and tearing mode (TM) instabilities are one of the most important mechanisms of solar wind energy, momentum and plasma transport within the magnetosphere.Methods: To investigate the conditions under which KHTM instabilities occur in the Earth environment it is fundamental to combine simultaneous multipoint in situ measurements and MHD simulations. We analyzed data from the THEMIS and Cluster spacecraft considering two Space Weather (SWE) events starting with an M2.0 flare event (hereafter Case-1) that occurred on 21 June 2015 and the most-intensive flare (X9.3) of solar cycle 24 that occurred on 6 September 2017 (hereafter Case-2).Results: Our analysis utilized a 2D MHD model for incompressible and viscous flow. The results from Case-1 indicate the presence of KH and TM instabilities, suggesting existence of observed low-amplitude oscillations at the nose of the magnetopause. However, the MHD simulations for Case-2 did not show any evidence of KH vortices, but did reveal the presence of “magnetic island” structures during a low-shear condition. The reconnection rate derived from the observations is compared with the computed one in the presence of developed instabilities inside the Earth’s magnetopause.