bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of oral health conditions on the quality of life of children and adolescents with sickle cell anemia: A cross‐sectional study
Authors: Mattos Graça Maria Lopes , Costa Cayara Mattos , Malheiros Adriana Santos , Maciel Miriam Batalha , Bassi‐Dibai Daniela , Ferreira Meire Coelho , Tavarez Rudys Rodolfo De Jesus 
Published: September 2024

AbstractBackgroundSickle cell anemia (SCA) is the most common hemoglobinopathy in Brazil and worldwide and is part of a group of chronic genetic diseases resulting from abnormalities in the structure of hemoglobin.AimTo evaluate the impact of oral health conditions on the quality of life (QoL) of children and adolescents with SCA.DesignThis is a cross‐sectional study with a sample of 76 children and adolescents aged 8–14 years. For inclusion, they were required to have a diagnosis of HbSS SCA in their medical records, without a pain crisis or any dental emergency in the last three months. The children and adolescents with SCA were from Hematology and Hemotherapy Center of Maranhão. Demographic characteristics, socioeconomic status, oral hygiene, caries, malocclusion, and oral health‐related quality of life (OHRQoL) were assessed. OHRQoL was assessed using the Child Perceptions Questionnaire. Descriptive statistics, Student's t and Mann−Whitney tests were performed (α = 5%).ResultsBrown race was the most prevalent for both age groups (8–10 years—63.2% and 11–14 years—57.9%). Predominant monthly family income for both age groups was below $106. Visible plaque and gingival bleeding were higher in children aged 8–10 years. Dental caries significantly impacted the QoL of adolescents through the domain “oral symptom” (p = .031). Malocclusion significantly impacted the QoL of adolescents (“total score,” p = .026; “social well‐being”, p = .045).ConclusionOral health impairment negatively affected the QoL of adolescents with SCA.
The uptake of the international pressure ulcer/injury prevention and treatment guidelines: An updated systematic citation analysis
Authors: El Genedy‐Kalyoncu Monira , Kottner Jan 
Published: September 2024

AbstractThe European Pressure Ulcer Advisory Panel, National Pressure Injury Advisory Panel, and Pan Pacific Pressure Injury Alliance collaboratively developed three editions of the International Clinical Practice Guidelines for preventing and treating pressure ulcers/injuries in 2009, 2014, and 2019. Dissemination and uptake of these guidelines are important to improve care. The aim of this work was to provide an updated and expanded citation analysis of the three published guidelines. Referencing formats, citation counts, and global distribution of citations of the 2009, 2014, and 2019 guidelines were searched in the citation database Scopus from 2009 to 2023. Duplicates were removed manually. The search identified 330 referencing formats with 2887 citations from 2009 to 2023 for the three guideline editions. Citations displayed geographical diversity, with citation peaks observed approximately 4 years after each edition's release and ongoing citations to the present. The International Clinical Practice Guidelines for preventing and treating pressure ulcers/injuries updated since 2009 were cited more than 2800 times in the scientific literature exceeding the thresholds of highly cited papers in the field of clinical medicine. This indicates successful dissemination worldwide.
An augmented reality‐facilitated question‐prompt‐interaction‐evaluation approach to fostering students' case‐handling competence in technical and vocational education
Authors: Chang Chun‐Chun 
Published: September 2024

AbstractBackgroundCultivating students' problem‐solving knowledge and skills in the workspace has been regarded as a primary goal in technical and vocational education. To this end, students are usually guided to complete the learning of workspace knowledge and skills by following the question, prompt, interaction and evaluation (QPIE) procedure.ObjectiveIn conventional instruction, when teachers present questions of real cases to students, most of the class time is spent on the demonstration of relevant techniques and prompts. Meanwhile, trainers in conventional classrooms often have to guide multiple students simultaneously, making it challenging to provide individual guidance. Therefore, the present study proposed an AR (Augmented Reality)‐based QPIE training mode.MethodTo show the effectiveness of the proposed mode, this study recruited two classes of students from a technological university as the participants, and conducted an experiment using a unit of a professional training course. One class of 22 learners adopted the AR‐QPIE training mode, while the other class of 22 learners used the conventional QPIE (C‐QPIE) training mode.Results and ConclusionsThe results revealed that the AR‐QPIE training mode enhanced learners' learning achievement, self‐confidence, and several dimensions of learning perceptions more than the C‐QPIE training mode. Besides, in terms of the evaluation of case‐handling performance, the AR‐QPIE training mode could also significantly enhance learners' memory, comprehension, judgement, and calculation abilities in comparison with the C‐QPIE training mode. Yet, no significant differences in the application abilities could be found between the two groups. The proposed training mode of this study could train learners' case‐handling performance, and improve their self‐confidence in the workspace.
Mental health conditions of Colombian adolescent population: An approach to risk
Authors: Álvarez Consuelo V. , Ramírez Oscar M. C. , Palacio Natalia S. 
Published: September 2024

AbstractObjectiveTo determine the mental health conditions of adolescents in the city of Manizales, Colombia, and explore risk regarding gender‐based differences.Materials and MethodsQuantitative, nonexperimental, descriptive research with associative scope. A total of 316 adolescents were assessed using five scales to evaluate mental health conditions: the Perceived Stress Scale, Patient Health Questionnaire‐9, Generalized Anxiety Disorder Scale, Penn Alcohol Craving Scale and The Substance Dependence Severity Scale. Univariate and bivariate analysis was performed, Chi square and Odds Ratio were tested.ResultsThe findings indicated that being female is a risk factor for high levels of perceived stress, depressive episodes and anxiety. Additionally, adolescents who are not attending school are at higher risk for dependence and abuse of psychoactive substances. Conversely, being female acts as a protective factor against dependence on psychoactive substances.ConclusionsThe findings suggest a higher tendency among the participants towards experiencing depressive episodes. Regarding perceived stress, 71.5% of the participants fell into the low category, while 70.6% experienced a current episode of generalized anxiety.
Left ventricular volumes and function in successful and failed His‐BundLe Pacing. A comparative prospective study
Authors: Notaristefano Francesco , Barengo Alberto , Spighi Lorenzo , Piraccini Silvia , Freschini Manuel , Sforna Stefano , Pesce Federica , Giuffrè Giuseppe , Bagnacani Alessandra , D'Ammando Matteo , Zingarini Gianluca , Notaristefano Salvatore , Cavallini Claudio , Verdecchia Paolo , Sclafani Rocco , Angeli Fabio 
Published: September 2024

AbstractIntroductionInitial data suggest that His Bundle Pacing (HBP) could preserve long‐term cardiac structure and function better than Right Ventricular Pacing (RVP), but evidence is limited.MethodsWe studied consecutive patients with baseline ejection fraction (EF) ≥ 50% who underwent HBP attempt, either successful (HBP group) or failed (RVP group). Two‐dimensional (2D) and three‐dimensional (3D) echocardiography were carried out at baseline and after 6 months of ventricular pacing burden > 20%.ResultsAmong 68 patients, 40 underwent successful HBP, and 28 RVP. The HBP and RVP groups did not differ for age, sex and pacing indication. At baseline, the HBP and RVP groups did not differ for 2D EF (62% vs. 62%), 3D EF (60% vs. 63%), 2D (−19% vs. −19%) and 3D global longitudinal strain (GLS) (−15% vs. −16%). After 6 months, 2D EF (−3.86%) and 3D EF (−5.71%) significantly decreased in the RVP group and did not change in the HBP group (p for interaction .006 and <.001, respectively). 2D GLS (3.08%) and 3D GLS (2.22%) significantly increased in the RVP group, but did not change in the HBP group (p for interaction .013 and <.016, respectively). Pacing induced cardiomyopathy (PICM) (EF drop ≥ 10% and EF < 50%) occurred in 14% (RVP) versus 0% (HBP) of patients (p = .025).ConclusionsSuccessful HBP was superior to RVP in preserving LV systolic function despite a high ventricular pacing burden, and was less frequently associated with PICM.
The interplay of maternal and paternal postpartum depressive symptoms with children's internalizing and externalizing symptoms from childhood to adolescence: does socioeconomic status matter? A longitudinal cohort study
Authors: Clément Myriam , Ahun Marilyn N. , Orri Massimiliano , Montreuil Tina C. , St‐André Martin , Herba Catherine M. , Moullec Gregory , Côté Sylvana M 
Published: September 2024

BackgroundMaternal postpartum depression is an important risk factor for internalizing and externalizing problems in children. The role of concurrent paternal depression remains unclear, especially by socioeconomic status. This study examined independent and interactive associations of postpartum maternal and paternal depression with children's internalizing/externalizing symptoms throughout childhood and adolescence (ages 3.5–17 years).MethodsWe used data from the Québec Longitudinal Study of Child Development, a representative birth cohort (1997–1998) in Canada. Data included self‐reported maternal and paternal depressive symptoms at 5 months' postpartum using the Center for Epidemiologic Studies Depression Scale. Internalizing and externalizing symptoms in children were reported by parents, teachers and children/adolescents using the Social Behaviour Questionnaire (ages 3.5–13 years) and the Mental Health and Social Inadaptation Assessment for Adolescents (ages 15–17 years). We used three‐level mixed effects modelling to test associations after adjusting for confounding factors.ResultsWith 168 single‐parent families excluded, our sample consisted of 1,700 families with useable data. Of these, 275 (16.2%) families reported maternal depression (clinically elevated symptoms), 135 (7.9%) paternal depression and 39 (2.3%) both. In families with high socioeconomic status, maternal depression was associated with greater child internalizing (β = .34; p < .001) and externalizing symptoms (β = .22; p = .002), regardless of the presence/absence of paternal depression. In families with low socioeconomic status, associations with symptoms were stronger with concurrent paternal depression (internalizing, β = .84, p < .001; externalizing, β = .71, p = .003) than without (internalizing, β = .30, p < .001; externalizing, β = .24, p = .002).ConclusionsMaternal depression increases the risk for children's internalizing/externalizing problems in all socioeconomic contexts. In families with low socioeconomic status, risks were exacerbated by concurrent paternal depression. Postpartum depression, especially in low socioeconomic environments, should be a primary focus to optimize mental health across generations.
Skinformatics: Navigating the big data landscape of dermatology
Authors: Guermazi Dorra , Shah Asghar , Yumeen Sara , Vance Terrence , Saliba Elie 
Published: September 2024

AbstractBig data and associated approaches to analyse it are on the rise, especially in healthcare settings. This growth is also seen with unique applications in the field of dermatology. While big data offer a plethora of opportunity for improving our current understanding of disease and ability to deliver care, as with any technology innovation, the potential pitfalls should be addressed. In this piece, we highlight opportunities and challenges associated with big data in dermatology. Opportunities include large and novel data sources that may offer a wealth of information, automated detection, classification and diagnostics and improved public health monitoring. Challenges include data quality, issues of interpretability and disparities within artificial intelligence (AI) training data sets. Clinicians and researchers in the field should be aware of these developments within the field of big data to understand how best it may be used toward improving patient care and health outcomes, particularly in the field of dermatology.
Designing an integrated care pathway for spondyloarthritis: A Lean Thinking approach
Authors: Lobo‐Prat David , Sainz Luis , Laiz Ana , De Dios Anna , Fontcuberta Lalis , Fernández Susana , Masip Montserrat , Riera Pau , Pagès‐Puigdemont Neus , Ros Sandra , Gomis‐Pastor Mar , Corominas Hèctor 
Published: September 2024

AbstractIntroductionIntegrated care pathways (ICPs) are crucial for delivering individualised care. However, the development of ICPs is challenging and must be well designed to provide the expected benefits. Regarding this, healthcare organisations are increasingly adopting management systems based on Lean Thinking to improve their organisational processes by eliminating non‐value‐added steps. This study elucidates the process and evaluates the impact of applying Lean Thinking to redesign an ICP for patients with spondyloarthritis, a chronic inflammatory disease affecting young adults.MethodsA multidisciplinary team was assembled and trained in Lean Thinking. Patient's perspective was gathered through a focus group. Guided by an expert methodologist, the team constructed a value stream map of the entire care pathway and analysed each step. Five work streams were defined to increase value at each step, leading to targeted process improvements. Key process and outcome metrics were collected and compared in 2‐month baseline and post‐implementation audits.ResultsA total of 118 patients were included in the baseline audit (September–October 2022), and 116 in the post‐implementation audit (January–February 2023). Process redesign resulted in statistically significant improvements (p < 0.05), including a reduction in the mean number of hospital visits per patient over a 2‐month period from 2.54 (SD = 0.93) to 1.84 (SD = 0.79), an increase in complementary exams scheduled on the same day (81.4% to 94.8%) and an increase in baseline disease and treatment education (from 22.2% to 84.2% and from 18.2% to 84.6%, respectively). Regarding standardisation of clinical practice, there were significant increases in collecting data for medical records on composite activity indices (76.3% to 95.7%), reporting of pharmacological treatment adherence (68.6% to 94%) and providing nonpharmacological recommendations (31.3% to 95.7%).ConclusionsThe application of Lean Thinking to redesign the spondyloarthritis ICP led to significant improvements in outpatient appointment scheduling, reduced patient hospital visits, improved interdepartmental coordination and standardised clinical practice.
MetMiner: A user‐friendly pipeline for large‐scale plant metabolomics data analysis
Authors: Wang Xiao , Liang Shuang , Yang Wenqi , Yu Ke , Liang Fei , Zhao Bing , Zhu Xiang , Zhou Chao , Mur Luis A. J. , Roberts Jeremy A. , Zhang Junli , Zhang Xuebin 
Published: September 2024

ABSTRACTThe utilization of metabolomics approaches to explore the metabolic mechanisms underlying plant fitness and adaptation to dynamic environments is growing, highlighting the need for an efficient and user‐friendly toolkit tailored for analyzing the extensive datasets generated by metabolomics studies. Current protocols for metabolome data analysis often struggle with handling large‐scale datasets or require programming skills. To address this, we present MetMiner (https://github.com/ShawnWx2019/MetMiner), a user‐friendly, full‐functionality pipeline specifically designed for plant metabolomics data analysis. Built on R shiny, MetMiner can be deployed on servers to utilize additional computational resources for processing large‐scale datasets. MetMiner ensures transparency, traceability, and reproducibility throughout the analytical process. Its intuitive interface provides robust data interaction and graphical capabilities, enabling users without prior programming skills to engage deeply in data analysis. Additionally, we constructed and integrated a plant‐specific mass spectrometry database into the MetMiner pipeline to optimize metabolite annotation. We have also developed MDAtoolkits, which include a complete set of tools for statistical analysis, metabolite classification, and enrichment analysis, to facilitate the mining of biological meaning from the datasets. Moreover, we propose an iterative weighted gene co‐expression network analysis strategy for efficient biomarker metabolite screening in large‐scale metabolomics data mining. In two case studies, we validated MetMiner's efficiency in data mining and robustness in metabolite annotation. Together, the MetMiner pipeline represents a promising solution for plant metabolomics analysis, providing a valuable tool for the scientific community to use with ease.
Are adolescents with premenstrual disorder at risk for cardiac arrhythmias?
Authors: Akbulut Ozlem , Ertugrul Ilker , Pehlivantürk‐Kızılkan Melis , Oztürk Musa , Sencelikel Tugce , Derman Orhan , Akgül Sinem 
Published: September 2024

AbstractBackgroundOne of the most commonly experienced symptoms of premenstrual disorder (PMD) is anxiety, and there is a notable rise in sympathomimetic activity in this patient group. Studies have linked fluctuations in systemic autonomic tone to electrocardiography (ECG) changes. This study aims to investigate the relationship between anxiety, a common symptom of PMD, and alterations in QT dispersion (QTd) and P‐wave dispersion (Pd) in adolescent females.MethodsThis cross‐sectional study included female adolescents aged 12–18 with regular menstruation for at least 3 months. Participants completed the premenstrual syndrome scale (PMSS) and were divided into two groups, PMD and control, according to the PMSS score. A standard 12‐lead body surface ECG was performed and QTd and Pd values were determined in each participant.ResultsOf the 43 participants, 27 were categorized into the PMD group, with a mean age of 15.15 ± 1.43 years. Age at menarche and menstrual cycle patterns were comparable between the PMD and control groups. Statistical analysis revealed significantly higher Pmin (p = 0.010) and Pd values (p < 0.001) in the PMD group compared to controls. A positive correlation between PMSS scores and Pd (p = 0.049) was also observed.ConclusionsChanges in atrial conduction and ventricular repolarization due to the pathophysiology of PMD may increase the risk of developing atrial and ventricular tachyarrhythmias over time. Screening patients with PMD using an ECG may be useful in identifying potentially at‐risk adolescents.
African American English, racialized femininities, and Asian American identity in Ali Wong's Baby Cobra
Authors: Calhoun Kendra , Yoo Joyhanna 
Published: September 2024

AbstractWe analyze Asian American comedian Ali Wong's linguistic and embodied performance in her 2016 stand‐up special, Baby Cobra, through a genre‐specific lens to investigate how stand‐up comedy's performance conventions shape her comedic persona. We argue that Wong uses communicative forms indexically associated with Blackness to perform racialized and gendered figures of personhood, including the white “Karen,” “sassy Black woman,” and “Asian grandmother.” This performance allows Wong to challenge hegemonic whiteness and dominant racializations of Asian women but relies on signs potentially interpreted as reproducing anti‐Black ideologies. We situate Wong as an individual performer, “Asian American” as an ethnoracial category vis‐à‐vis Blackness, and the linguistic practices of Asian and Black American communities within racial capitalist histories that have shaped contemporary raciolinguistic ideologies. Rather than approach language varieties and racialized groups as necessarily distinct, we treat them as relational—as necessarily intimately and historically connected.
Associations between disability type and untreated dental decay among community dwelling US adults
Authors: Singh Ishita , Li Xiaobai , Iafolla Timothy J. , Boroumand Shahdokht , Alraqiq Hosam 
Published: September 2024

AbstractObjectiveIndividuals with disabilities face elevated risks of adverse oral health outcomes compared with the general population, including worse periodontal health, increased edentulism, and untreated dental decay. Given the varied impacts of different disabilities on people's health and well‐being, this study aims to investigate diverse associations between untreated decay and cognitive, physical, emotional, and sensory disabilities among US adults.MethodsThis cross‐sectional study analyzed questionnaire and clinical examination data on 7084 adults (≥20 years) from the 2015–18 National Health and Nutrition Examination Survey cycles. Sociodemographics, oral health behaviors, health conditions, and disability were all examined. The prevalence of tooth decay was calculated as the proportion of adults with untreated decay. Survey‐weighted multivariable logistic regression was used to assess associations between disability and untreated decay.ResultsIn general, untreated decay was more than twice as prevalent in individuals with three or more disabilities as in those without any disabilities (34.5% vs. 13.2%, p < 0.001). After adjusting for confounders, lack of functional dentition was the most significant predictor of untreated decay prevalence (adjusted odds ratio: 2.97, 95% CI: 2.37–3.72). Other significant factors were younger age (20–44), non‐Hispanic black race or ethnicity, low‐income status, having an underlying chronic condition, not having a past‐year dental visit, symptomatic dental visits, and current tobacco use.ConclusionNo associations were found between disability type (cognitive, emotional, physical, and sensory) and untreated decay among community‐dwelling US adults. Several health‐related, social, and behavioral factors emerged as primary predictors of untreated decay. Further research is needed to explore disability types and dental caries determinants.
Effects of Partial Replacement of Corn Grains With Mango Seed Kernel on Nutrient Digestibility, Blood Metabolites and Rumen Parameters of Growing Calves
Authors: Riad Wasef A. , El‐Hais Abdelaziz M. , Soliman Ahmed A. , El Esawy Ghada S. , Atia Safaa E. S. , Khattab Ibrahim M. 
Published: September 2024

ABSTRACTFruit by‐products are a sustainable and cost‐effective alternative to traditional grain feed for livestock. One of the most important by‐products is mango seed kernel (MSK), which can be used as a valuable energy source for feeding growing calves in the tropical and subtropical productive regions of the world. This study investigated the effect of replacing corn grains (CGs) with MSK on intake, nutrient digestibility, blood metabolites and rumen parameters. Eighteen growing male Friesian calves (200 ± 6.55 kg of body weight and 9–11 months old) were randomly assigned to three treatment groups. Three concentrate feed mixtures were formulated such that MSK replaced CG at 0%, 25% and 50%. Dry matter intake was unaffected, whereas dry matter, organic matter and fibre digestibility increased linearly (p < 0.05) with increased inclusion of MSK. Ruminal pH (p = 0.053) and total volatile fatty acid (VFA) concentration (p = 0.041) increased linearly. There was a linear decrease in cholesterol (p = 0.029) and AST (p = 0.028) levels in the blood of calves. In conclusion, this study demonstrated the positive effect of replacing 50% of CG with MSK on rumen parameters, including a higher ruminal pH and total VFA concentration, alongside higher nutrient digestibility. The dietary inclusion of mango seed can serve as a valuable and sustainable dietary component for growing calves.