bluuebunny/crossref_metadata_2025_split huggingface dataset:
Screen-viewing behaviours of children before and after the 2020–21 COVID-19 lockdowns in the UK: a mixed methods study
Authors: Salway Ruth , Walker Robert , Sansum Kate , House Danielle , Emm-Collison Lydia , Reid Tom , Breheny Katie , Williams Joanna G. , de Vocht Frank , Hollingworth William , Foster Charlie , Jago Russell 
Published: January 2023

Abstract
Background
Restrictions during the COVID-19 pandemic have led to increased screen-viewing among children, especially during strict periods of lockdown. However, the extent to which screen-viewing patterns in UK school children have changed post lockdowns is unclear. The aim of this paper is to examine how screen-viewing changed in 10–11-year-old children over the 2020–21 COVID-19 pandemic, how this compares to before the pandemic, and the influences on screen-viewing behaviour.

Methods
This is a mixed methods study with 10–11-year-olds from 50 schools in the Greater Bristol area, UK. Cross-sectional questionnaire data on minutes of weekday and weekend television (TV) viewing and total leisure screen-viewing were collected pre-COVID-19 in 2017–18 (N = 1,296) and again post-lockdowns in 2021 (N = 393). Data were modelled using Poisson mixed models, adjusted for age, gender, household education and seasonality, with interactions by gender and household education. Qualitative data were drawn from six focus groups (47 children) and 21 one-to-one parent interviews that explored screen-viewing behaviour during the pandemic and analysed using the framework method.

Results
Total leisure screen-viewing was 11% (95% CI: 12%-18%) higher post-lockdown compared to pre-COVID-19 on weekdays, and 8% (95% CI: 6%-10%) on weekends, equating to around 12–15 min. TV-viewing (including streaming) was higher by 68% (95% CI: 63%-74%) on weekdays and 80% (95% CI: 75%-85%) on weekend days. Differences in both were higher for girls and children from households with lower educational attainment. Qualitative themes reflected an unavoidable increase in screen-based activities during lockdowns, the resulting habitualisation of screen-viewing post-lockdown, and the role of the parent in reducing post-2020/21 lockdown screen-viewing.

Conclusions
Although screen-viewing was higher post-lockdown compared to pre-COVID-19, the high increases reported during lockdowns were not, on average, sustained post-lockdown. This may be attributed to a combination of short-term fluctuations during periods of strict restrictions, parental support in regulating post-lockdown behaviour and age-related, rather than COVID-19-specific, increases in screen-viewing. However, socio-economic differences in our sample suggest that not all families were able to break the COVID-19-related adoption of screen-viewing, and that some groups may need additional support in managing a healthy balance of screen-viewing and other activities following the lockdowns.
Ecological study of the association between socioeconomic inequality and food deserts and swamps around schools in Rio de Janeiro, Brazil
Authors: Andretti Bernardo , Cardoso Letícia Oliveira , Honório Olivia Souza , de Castro Junior Paulo César Pereira , Tavares Letícia Ferreira , da Costa Gaspar da Silva Isabela , Mendes Larissa Loures 
Published: January 2023

Abstract
Background
Previous research suggests that unhealthy community food environments around schools contribute to unhealthy eating habits and negative health outcomes among the youth. However, little is known about how socioeconomic inequalities in those community food environments are associated with food deserts and food swamps across schools’ neighborhoods.

Methods
An ecological study was carried out in all 3,159 public and private schools in Rio de Janeiro, Brazil. Three measures of socioeconomic inequality were evaluated: per capita income, segregation index and deprivation index. The community school food environment was analyzed by metrics of food swamps and food deserts.

Results
Food deserts and food swamps were simultaneously more prevalent in neighborhoods of the lowest income, high deprivation, and high segregation. Spatial socioeconomic disparities at the neighborhoods of schools were associated with food deserts and food swamps in Rio de Janeiro.

Conclusions
Our results point to a spatial socioeconomic inequality of establishments that sell food around schools in a Brazilian metropolis, indicating that the areas of greatest deprivation of food services are also the areas with the worst socioeconomic characteristics.
Gender differences in knowledge, attitudes, and practices with respect to type 1 diabetes among Saudi public-school teachers
Authors: Aljefree Najlaa M. , Almoraie Noha M. , Althaiban Maha A. , Hanbazaza Mahitab A. , Wazzan Huda A. , Shatwan Israa M. 
Published: January 2023

AbstractBackgroundChildren with type 1 diabetes mellitus (T1DM) need carefully monitoring even during school hours to avoid emergencies. Hence, it is crucial for teachers to have appropriate knowledge and positive attitudes toward diabetes to effectively manage the disease and its complications. This study aimed to compare the knowledge, attitudes, and practices with respect to T1DM among Saudi male and female public-school teachers living in Jeddah and to identify the associated factors.MethodsA cross-sectional study was conducted among primary, intermediate, and secondary public-school teachers working in Jeddah, Saudi Arabia between October 2021 and March 2022. Data were collected through an online survey. The survey included information on the socio-demographics of school teachers, the presence of chronic diseases, teachers’ health behaviours, and knowledge, attitude, and practice with respect to T1DM.ResultsThis study included 378 school teachers. The majority of school teachers from both genders were married, held a bachelor’s degree, and aged 45–54 years. Male school teachers were married (P = 0.02), held postgraduate certificates (P < 0.001), smoked cigarette and shisha (P < 0.001), and were physically active (P < 0.001) compared to female school teachers. Regarding teachers’ knowledge of T1DM, it was found that female teachers were significantly more knowledgeable of T1DM children’s and its symptoms than male teachers (P = 0.03;P = 0.01, respectively). However, male teachers were more willing to accommodate T1DM students in their classes and attend programs to support T1DM students as compared to female teachers (P = 0.004;P = 0.004, respectively). Moreover, the study showed poor practice scores for T1DM. In addition, the knowledge, attitudes, and practice scores toward T1DM were significantly associated with advanced age (P = 0.002), and extended years of teaching experience (P ≤ 0.002). Also, diabetic teachers had the highest knowledge (P = 0.03) and attitude (P = 0.02) scores compared to non-diabetic teachers. Male teachers who were married (P = 0.002), shisha smokers (P = 0.01), and had never practiced activity (P = 0.03) had better attitudes and practices toward T1DM. Similarly, female teachers who held bachelor’s certificates had better attitudes toward T1DM (P = 0.02).ConclusionThe present study revealed moderate knowledge, favorable attitudes, and poor practices related to T1DM among school teachers in Jeddah. It is crucial for policymakers to provide school teachers with training for necessary diabetes care for diabetic students.
Mathematical analysis in the design of digital artery-based V–Y advancement flap in treating proximal interphalangeal joint flexion contracture
Authors: Su Po-Han , Hsu Cheng-En , Ho Tsung-Yu , Wei Bor-Han , Wang Wei-Chih , Chiu Yung-Cheng 
Published: January 2023

Abstract
Background
The digital artery-based V–Y advancement flap is a widely used flap for soft tissue coverage in the treatment of flexion contracture of the proximal interphalangeal (PIP) joint. A standard method for the flap design and a mathematical method to predict the advance distance have not been well established. In this study, we proposed a simplified method for the design of V–Y advancement flaps based on digital arteries and used a geometric model to predict the advance distance for the flexion contracture correction surgery.

Methods
According to the general concept of hand flap design and law of cosine, we proposed three principles in the design of the digital artery-based V–Y advancement flap that should be followed. Since 2021 to 2022, finger geometric data of 120 fingers (index, middle, ring, and small fingers) from 30 healthy participants were collected and analysed to evaluate the necessary advance distance and flap tip angle for PIP flexion contracture correction of different fingers by our flap design method.

Results
The middle finger needed a significantly longer advance distance compared to other fingers in the same degree flexion contracture correction. The ring finger had the largest length-to width ratio and smallest flap tip angle among the four fingers in the V–Y flap design. No vertical scar crossed the flexion creases and flap tip angle < 20° was found in the tentative V–Y flap design for the 120 fingers.

Conclusions
Our flap design method provides a proper advance distance and flap length-to-width ratio without common skin complications in the flap design for PIP flexion contracture of index, middle, ring and small fingers. This geometric model provides a mathematical basis for prediction of advance distance and flap tip angle in the design of a digital artery-based V–Y advancement flap.
Structural validity and reliability of the “Oral Health Assessment Tool” applied by speech-language therapists in a population of older Chilean people
Authors: Morales Camilo , Henríquez Felipe , Muñoz Sergio 
Published: January 2023

Abstract
Background
A good state of oral health allows people to communicate and eat. This topic is relevant in older people given its close relationship with their general health. At present, health challenges are directed at detecting and preventing oral disorders and are seen to exclusively by dentists, because the existing instruments can only be applied by them. However, speech-language therapists undergo similar training, which would allow them to collaborate in these processes. In this context, the Oral Health Assessment Tool (OHAT) is a detection instrument with good psychometric properties that is currently available for non-dental use. The objective of this study is the translation into Chilean Spanish of the OHAT and a structural validation of that version for application by these professionals.

Materials and methods
A mixed qualitative-quantitative study was carried out. The OHAT instrument was adapted to Chilean Spanish and subsequently subject to structural validity and evaluation of internal consistency reliability, as well as a valuation of its reproducibility in 286 older people (166 female, 120 male) from different health contexts.

Results
The cultural adaptation of the instrument proved to be semantically consistent with the original instrument. Its application was considered to be speedy and simple in the pre-test. The confirmatory factor analysis evidenced the unidimensionality of the OHAT. In addition, the instrument shows good internal consistency and test–retest reliability.

Conclusions
The OHAT instrument was considered to possess adequate structural validity and test–retest reliability properties. Its usefulness in the context of oral health disorders of this population in Chile is discussed.
Effect of argon plasma pre-treatment of healing abutments on peri-implant microbiome and soft tissue integration: a proof-of-concept randomized study
Authors: Canullo Luigi , Rakic Mia , Corvino Emilio , Burton Maria , Krumbeck Janina A. , Chittoor Prem Aishani , Ravidà Andrea , Ignjatović Nenad , Sculean Anton , Menini Maria , Pesce Paolo 
Published: January 2023

Abstract
Purpose
Biofilm-free implant surface is ultimate prerequisite for successful soft and bone tissue integration. Objective of the study was to estimate the effects of argon plasma healing abutment pre-treatment (PT) on peri-implant soft-tissue phenotype (PiSP), inflammation, plaque accumulation and the microbiome (PiM) between non-treated (NPT) and treated (PT) abutments following 3-months healing period. The hypothesis was that cell-conductive and antimicrobial properties of PT would yield optimal conditions for soft tissue integration.

Material and Methods
Two months following second-phase surgery, microbiological and clinical parameters were assessed around thirty-six healing abutments with two types of microtopography, smooth surface (MACHINED) and ultrathin threaded microsurface (ROUGH). A two level randomization schema was used to achieve equal distribution and abutments were randomly divided into rough and machined groups, and then divided into PT and NPT groups. PiM was assessed using next-generation DNA sequencing.

Results
PiM bacterial composition was highly diverse already two months post-implantation, consisting of key-stone pathogens, early and late colonizers, while the mycobiome was less diverse. PT was associated with lower plaque accumulation and inflammation without significant impact on PiSP, while in NPT clinical parameters were increased and associated with periopathogens. NPT mostly harbored late colonizers, while PT exerted higher abundance of early colonizers suggesting less advanced plaque formation. Interaction analysis in PT demonstrated S. mitis co-occurrence with pro-healthy Rothia dentocariosa and co-exclusion with Parvimonas micra, Porphyromonas endodontalis and Prevotella oris. PiSP parameters were generally similar between the groups, but significant association between PiM and keratinized mucosa width was observed in both groups, with remarkably more expressed diversity in NPT compared to PT. PT resulted in significantly lower BOP and PI around rough and machined abutments, respectively, without specific effect on PiM and PiSP.

Conclusions
PT contributed to significantly the less advanced biofilm accumulation and inflammation without specific effects on PiSP.
Deep learning-based prediction of mandibular growth trend in children with anterior crossbite using cephalometric radiographs
Authors: Zhang Jia-Nan , Lu Hai-Ping , Hou Jia , Wang Qiong , Yu Feng-Yang , Zhong Chong , Huang Cheng-Yi , Chen Si 
Published: January 2023

Abstract
Background
It is difficult for orthodontists to accurately predict the growth trend of the mandible in children with anterior crossbite. This study aims to develop a deep learning model to automatically predict the mandibular growth result into normal or overdeveloped using cephalometric radiographs.

Methods
A deep convolutional neural network (CNN) model was constructed based on the algorithm ResNet50 and trained on the basis of 256 cephalometric radiographs. The prediction behavior of the model was tested on 40 cephalograms and visualized by equipped with Grad-CAM. The prediction performance of the CNN model was compared with that of three junior orthodontists.

Results
The deep-learning model showed a good prediction accuracy about 85%, much higher when compared with the 54.2% of the junior orthodontists. The sensitivity and specificity of the model was 0.95 and 0.75 respectively, higher than that of the junior orthodontists (0.62 and 0.47 respectively). The area under the curve value of the deep-learning model was 0.9775. Visual inspection showed that the model mainly focused on the characteristics of special regions including chin, lower edge of the mandible, incisor teeth, airway and condyle to conduct the prediction.

Conclusions
The deep-learning CNN model could predict the growth trend of the mandible in anterior crossbite children with relatively high accuracy using cephalometric images. The deep learning model made the prediction decision mainly by identifying the characteristics of the regions of chin, lower edge of the mandible, incisor teeth area, airway and condyle in cephalometric images.
The nutritional content required to design an educational application for infertile women
Authors: Langarizadeh Mostafa , Nadjarzadeh Azadeh , Maghsoudi Banafshe , Fatemi Aghda Seyed Ali 
Published: January 2023

Abstract
Background
Infertility has been considered as a critical health problem for couples and society. Given the worldwide exponential rise of infertility, mobile phone-based applications are drastic ways to deliver nutrition educational content to women with infertility. The present study aimed to prepare the required educational content for designing a mobile phone-based nutrition educational application for women with infertility.

Methods
Educational contents were initially determined based on the literature review and library studies. As a result, a researcher-made questionnaire was designed containing 28 items in six dimensions. To ensure about the questionnaire’s validity, a panel of experts (15 nutritionists and 5 infertility specialists) was asked to review the items, make revisions (if necessary), and confirm the final contents. The questionnaire reliability was also corroborated using the KR-20 coefficient (0.89).

Results
While the amount of consumed calories per meal and between meals were not significantly effective on fertility, factors such as main definitions, disease and treatment instructions, personal activities and habits, and menstruation were deemed necessary by the respondents. Participants also suggested adding sections entailing introductions to different types of diets, users' suggestions and opinions, and of the address and contact information of senior nutrition centers to the questionnaire.

Conclusions
Followed by obtaining the required valid and reliable contents, a mobile phone- based nutrition education application can be designed to improve the patients' knowledge and facilitate their treatment process.
Employability in health professional education: a scoping review
Authors: Leadbeatter Delyse , Nanayakkara Shanika , Zhou Xiaoyan , Gao Jinlong 
Published: January 2023

Abstract
Background
The concept of employability can help educators understand the variability in the career outcome of graduates. Within the health professional education (HPE) literature, various conceptions of employability are used and implied. This review considers how the concept ‘employability’ is depicted and characterised in HPE literature.

Methods
A scoping review was conducted. The authors searched Medline, Web of Science and Scopus databases for English language literature relevant to employability in HPE. Arksey and O'Malley’s review protocol and the criteria defined in the preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews Checklist (PRISMA-ScR) were used with methodological guidance provided by Levac et al. and Peters et al. with the exception of formal stakeholder consultation.

Results
The search resulted in 158 articles, of which 34 articles were included in this review. Charting the included articles revealed that within the set of articles, there is much diversity in study design, geographical setting and health profession. Three conceptions of employability were identified: acquiring a professional job, sustaining employment and thriving in the workforce.

Conclusion
Conceptions of employability in HPE are largely focused on listing skills and capabilities for entry into employment and sustaining a career. To address gaps in research, structural contributions to employability and institutional strategies to promote conditions for thriving in disruption should be explored.
Optimizing molecular testing of lung cancer needle biopsy specimens: potential solutions from an interdisciplinary qualitative study
Authors: Fintelmann Florian J. , Martin Nikki A. , Tahir Ismail , Quinn Elissa M. , Allen Timothy C. , Joseph Lija , Nikolic Boris , Lee Christopher 
Published: January 2023

Abstract
Background
Molecular testing can detect actionable genomic alterations and tumor cell surface proteins in patients with non–small cell lung cancer (NSCLC). However, utilization remains suboptimal, representing missed treatment opportunities. This study aimed to identify challenges and potential solutions to obtaining percutaneous lung needle biopsy specimens for successful molecular testing in patients with advanced NSCLC.

Methods
This interdisciplinary qualitative study included ten radiologists and four pathologists from academic and community settings across the United States who routinely perform and analyze percutaneous lung needle biopsies. Participants underwent semi-structured one-on-one interviews (Phase 1). Interview questionnaires were constructed based on a literature review of key lines of inquiry and conducted by professional market researchers using the theoretical domains framework. Primary barriers to molecular testing were identified using thematic analysis. Subsequently, multidisciplinary focus groups were convened to identify potential solutions (Phase 2).

Results
Four themes emerged as barriers to molecular testing and were matched to the clinical workflow: (1) biopsy request, (2) biopsy procedure, (3) specimen analysis, and (4) communication. The nineteen potential solutions included adding a “checkbox” to indicate molecular testing in the biopsy request, leveraging pre-procedural imaging to guide biopsies, conserving tissue through appropriate allocation strategies and next generation sequencing panels instead of sequential single-gene assays, instituting reflex-molecular testing upon NSCLC diagnosis, tracking and communicating biopsy outcomes at multidisciplinary tumor boards, and improving integration of radiologists and pathologists into oncology care teams.

Conclusions
Potential solutions exist to increase successful molecular testing of lung needle biopsy specimens in patients with advanced NSCLC.
Novel context-specific genome-scale modelling explores the potential of triacylglycerol production by Chlamydomonas reinhardtii
Authors: Yao Haoyang , Dahal Sanjeev , Yang Laurence 
Published: January 2023

AbstractGene expression data of cell cultures is commonly measured in biological and medical studies to understand cellular decision-making in various conditions. Metabolism, affected but not solely determined by the expression, is much more difficult to measure experimentally. Finding a reliable method to predict cell metabolism for expression data will greatly benefit metabolic engineering. We have developed a novel pipeline, OVERLAY, that can explore cellular fluxomics from expression data using only a high-quality genome-scale metabolic model. This is done through two main steps: first, construct a protein-constrained metabolic model (PC-model) by integrating protein and enzyme information into the metabolic model (M-model). Secondly, overlay the expression data onto the PC-model using a novel two-step nonconvex and convex optimization formulation, resulting in a context-specific PC-model with optionally calibrated rate constants. The resulting model computes proteomes and intracellular flux states that are consistent with the measured transcriptomes. Therefore, it provides detailed cellular insights that are difficult to glean individually from the omic data or M-model alone. We apply the OVERLAY to interpret triacylglycerol (TAG) overproduction byChlamydomonas reinhardtii, using time-course RNA-Seq data. We show that OVERLAY can computeC. reinhardtiimetabolism under nitrogen deprivation and metabolic shifts after an acetate boost. OVERLAY can also suggest possible ‘bottleneck’ proteins that need to be overexpressed to increase the TAG accumulation rate, as well as discuss other TAG-overproduction strategies.