bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting the progression of chronic subdural hematoma based on skull density
Authors: Yang Weijian , Chen Qifang , Yao Haijun , Zhang Jun , Zhang Quan , Fang Jiang , Wu Gang , Hu Jin
Published: October 2023

Objective

The objective of this study was to investigate potential correlations between skull density and the progression of chronic subdural hematoma (CSDH).

Methods

Patients with unilateral CSDH were retrospectively enrolled between January 2018 and December 2022. Demographic and clinical characteristics, as well as hematoma and skull density (Hounsfield unit, Hu), were collected and analyzed.

Results

The study enrolled 830 patients with unilateral CSDH until the resolution of the CDSH or progressed with surgical treatment. Of the total, 488 patients (58.80%) necessitated surgical treatment. The study identified a significant correlation between the progression of CSDH and three variables: minimum skull density (MiSD), maximum skull density (MaSD), and skull density difference (SDD) (p < 0.001). Additionally, in the multivariable regression analysis, MiSD, MaSD, and SDD were independent predictors of CSDH progression. The MiSD + SDD model exhibited an accuracy of 0.88, as determined by the area under the receiver operating characteristic curve, with a sensitivity of 0.77 and specificity of 0.88. The model’s accuracy was validated through additional analysis.

Conclusion

The findings suggest a significant correlation between skull density and the CSDH progression.
Assessing 72 h vs. 24 h of long-term video-EEG monitoring to confirm the diagnosis of epilepsy: a retrospective observational study
Authors: Timpte Katharina , Rosenkötter Ulrike , Honrath Philipp , Weber Yvonne , Wolking Stefan , Heckelmann Jan
Published: October 2023

Introduction

Paroxysmal seizure-like events can be a diagnostic challenge. Inpatient video-electroencephalography (EEG) monitoring (VEM) can be a valuable diagnostic tool, but recommendations for the minimal duration of VEM to confirm or rule out epilepsy are inconsistent. In this study, we aim to determine whether VEM of 48 or 72 h was superior to 24 h.

Methods

In this monocentric, retrospective study, we included 111 patients with paroxysmal, seizure-like events who underwent at least 72 h of VEM. Inclusion criteria were as follows: (1) Preliminary workup was inconclusive; (2) VEM admission occurred to confirm a diagnosis; (3) At discharge, the diagnosis of epilepsy was conclusively established. We analyzed the VEM recordings to determine the exact time point of the first occurrence of epileptic abnormalities (EAs; defined as interictal epileptiform discharges or electrographic seizures). Subgroup analyses were performed for epilepsy types and treatment status.

Results

In our study population, 69.4% (77/111) of patients displayed EAs during VEM. In this group, the first occurrence of EAs was observed within 24 h in 92.2% (71/77) of patients and within 24–72 h in 7.8% (6/77). There was no statistically significant difference in the incidence of EA between medicated and non-medicated patients or between focal, generalized epilepsies and epilepsies of unknown type. Of the 19 recorded spontaneous electroclinical seizures, 6 (31.6%) occurred after 24 h.

Discussion

A VEM of 24 h may be sufficient in the diagnostic workup of paroxysmal seizure-like events under most circumstances. Considering the few cases of first EA in the timeframe between 24 and 72 h, a prolonged VEM may be useful in cases with a high probability of epilepsy or where other strategies like sleep-EEG or ambulatory EEG show inconclusive results. Prolonged VEM increases the chance of recording spontaneous seizures. Our study also highlights a high share of subjects with epilepsy that do not exhibit EAs during 72 h of VEM.
A learnable EEG channel selection method for MI-BCI using efficient channel attention
Authors: Tong Lina , Qian Yihui , Peng Liang , Wang Chen , Hou Zeng-Guang
Published: October 2023

Introduction

During electroencephalography (EEG)-based motor imagery-brain-computer interfaces (MI-BCIs) task, a large number of electrodes are commonly used, and consume much computational resources. Therefore, channel selection is crucial while ensuring classification accuracy.

Methods

This paper proposes a channel selection method by integrating the efficient channel attention (ECA) module with a convolutional neural network (CNN). During model training process, the ECA module automatically assigns the channel weights by evaluating the relative importance for BCI classification accuracy of every channel. Then a ranking of EEG channel importance can be established so as to select an appropriate number of channels to form a channel subset from the ranking. In this paper, the ECA module is embedded into a commonly used network for MI, and comparative experiments are conducted on the BCI Competition IV dataset 2a.

Results and discussion

The proposed method achieved an average accuracy of 75.76% with all 22 channels and 69.52% with eight channels in a four-class classification task, outperforming other state-of-the-art EEG channel selection methods. The result demonstrates that the proposed method provides an effective channel selection approach for EEG-based MI-BCI.
White matter tracts contribute selectively to cognitive functioning in patients with glioma
Authors: Andreoli Mia , Mackie Melissa-Ann , Aaby David , Tate Matthew C.
Published: October 2023

Objective

The functional organization of white matter (WM) tracts is not well characterized, especially in patients with intrinsic brain tumors where complex patterns of tissue injury, compression, and neuroplasticity may be present. This study uses diffusion tensor imaging (DTI) to investigate the relationships between WM tract disruption and cognitive deficits in glioma patients.

Methods

Seventy-nine patients with glioma underwent preoperative DTI and neuropsychological testing. Thirteen WM tracts were reconstructed bilaterally. Fractional anisotropy and streamline number were obtained for each tract as indices of connectivity. Univariate regression models were used to model the association between WM tract connectivity and neuropsychological outcomes.

Results

Glioma patients exhibited variable injury to WM tracts and variable cognitive deficits on validated neuropsychological tests. We identified 16 age-adjusted associations between WM tract integrity and neuropsychological function. The left inferior frontal-occipital fasciculus (IFOF) predicted list learning and dominant-hand fine motor dexterity. The right IFOF predicted non-dominant-hand fine motor dexterity and visuospatial index scores. The left inferior longitudinal fasciculus (ILF) predicted immediate memory list learning and index scores. The right ILF predicted non-dominant-hand fine motor dexterity and backward digit span scores. The left superior longitudinal fasciculus (SLF) I predicted processing speed. The left SLF III predicted list learning, immediate memory index scores, phonemic fluency, and verbal abstract reasoning. The left cingulum predicted processing speed. The right anterior AF predicted verbal abstract reasoning.

Conclusion

WM tract disruption predicts cognitive dysfunction in glioma patients. By improving knowledge of WM tract organization, this analysis may guide maximum surgical resection and functional preservation in glioma patients.
Comprehensive NGS profiling to enable detection of ALK gene rearrangements and MET amplifications in non-small cell lung cancer
Authors: Clavé Sergi , Jackson Jennifer B. , Salido Marta , Kames Jacob , Gerding Kelly M. R. , Verner Ellen L. , Kong Eric F. , Weingartner Elizabeth , Gibert Joan , Hardy-Werbin Max , Rocha Pedro , Riera Xènia , Torres Erica , Hernandez James , Cerqueira Gustavo , Nichol Donna , Simmons John , Taus Álvaro , Pijuan Lara , Bellosillo Beatriz , Arriola Edurne
Published: October 2023

Introduction

Next-generation sequencing (NGS) is currently widely used for biomarker studies and molecular profiling to identify concurrent alterations that can lead to the better characterization of a tumor’s molecular landscape. However, further evaluation of technical aspects related to the detection of gene rearrangements and copy number alterations is warranted.

Methods

There were 12 ALK rearrangement-positive tumor specimens from patients with non-small cell lung cancer (NSCLC) previously detected via fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), and an RNA-based NGS assay, and 26 MET high gene copy number (GCN) cases detected by FISH, selected for this retrospective study. All 38 pre-characterized cases were reassessed utilizing the PGDx™ elio™ tissue complete assay, a 505 gene targeted NGS panel, to evaluate concordance with these conventional diagnostic techniques.

Results

The detection of ALK rearrangements using the DNA-based NGS assay demonstrated excellent sensitivity with the added benefit of characterizing gene fusion partners and genomic breakpoints. MET copy number alterations were also detected; however, some discordances were observed likely attributed to differences in algorithm, reporting thresholds and gene copy number state. TMB was also assessed by the assay and correlated to the presence of NSCLC driver alterations and was found to be significantly lower in cases with NGS-confirmed canonical driver mutations compared with those without (p=0.0019).

Discussion

Overall, this study validates NGS as an accurate approach for detecting structural variants while also highlighting the need for further optimization to enable harmonization across methodologies for amplifications.
Features of the immunosuppressive tumor microenvironment in endometrial cancer based on molecular subtype
Authors: Zhang Chong , Wang Ming , Wu Yumei
Published: October 2023

Endometrial cancer (EC) is one of the three most prevalent gynecological tumors affecting women and is the most prevalent gynecological malignancy in the developed world. Its incidence is rapidly increasing worldwide, mostly affecting postmenopausal women, whereas recently its prevalence has increased in younger people. EC is an immune gene disease and many studies have shown that the tumor-immunosuppressive microenvironment plays an important role in cancer progression. In recent years, findings regarding the immunosuppressive tumor microenvironment (ITME) of EC have included immune evasion mechanisms and immunotherapy, which are mostly immune checkpoint inhibitors (ICI) for EC. Recently studies on the ITME of different molecular types of EC have found that different molecular types may have different ITME. With the research on the immune microenvironment of EC, a new immunophenotype classification based on the immune microenvironment has been carried out in recent years. However, the impact of the ITME on EC remains unclear, and the immunophenotype of EC remains limited to the research stage. Our review describes recent findings regarding the ITME features of different EC molecular types. The advent of immunotherapy has brought hope for improved efficacy and prognosis in patients with advanced or recurrent EC. The efficacy and safety of ICIs combination therapy remains the focus of future research.
Crucial involvement of fast waves and Delta band in the brain network attributes of infantile epileptic spasms syndrome
Authors: Dong Yan , Jin Liang , Li Mengchun , Lian Ruofei , Wu Gongao , Xu Ruijuan , Zhang Xiaoli , Du Kaixian , Jia Tianming , Wang Haiyan , Zhao Shichao
Published: October 2023

Objective

This study aims to describe the characteristics of the brain network attributes in children diagnosed with Infantile Epileptic Spasms Syndrome (IESS) and to determine the influence exerted by adrenocorticotrophic hormone (ACTH) or methylprednisolone (MP) on network attributes.

Methods

In this retrospective cohort study, we recruited 19 infants diagnosed with IESS and 10 healthy subjects as the control from the Pediatric Neurology Department at the Third Affiliated Hospital of Zhengzhou University between October 2019 and December 2020. The first thirty-minute processed electroencephalograms (EEGs) were clipped and filtered into EEG frequency bands (2 s each). A comparative assessment was conducted between the IESS group and the controls as well as the pre- and post-treatment in the IESS group. Mutual information values for each EEG channel were collected and compared including characteristic path length (CPL), node degree (ND), clustering coefficient (CC), and betweenness centrality (BC), based on graph theory.

Results

Comparing the control group, in the IESS group, there was an increase in CPL of the Delta band, and a decrease in ND and CC of the Delta band during the waking period, contrary to those during the sleeping period (P < 0.05), a decreased in CPL of the fast waves and an increase in ND and CC (P < 0.05) in the sleep-wake cycle, and a decrease in ND and CC of the Theta band in the waking phase. Post-treatment compared with the pre-treatment, during the waking ictal phase, there was a noted decrease in CPL in the Delta band and fast waves, while an increase was observed in ND and CC (P < 0.05).

Conclusions

The Delta band and fast waves are crucial components of the network attributes in IESS.

Significance

This investigation provides a precise characterization of the brain network in children afflicted with IESS, and lays the groundwork for predicting the prognosis using graph theory.
Efficacy and mechanism of retinyl palmitate against UVB-induced skin photoaging
Authors: Shu Peng , Li Menggeng , Zhao Nan , Wang Yuan , Zhang Lanyue , Du Zhiyun
Published: October 2023

Retinyl palmitate (RP) is a vitamin A derivative that has been widely used in anti-aging and skin treatment. The aim of this study is to investigate the effect of RP on UVB (Ultraviolet radiation B) induced photoaging and its potential mechanism. Immunofluorescence assay demonstrates that RP can reduce collagen degradation in skin cells by UVB radiation and reduce apoptosis of skin cells. Cell migration assay reveals that RP can increase cell migration rate, helping to repair skin damage and restore cell viability. Immunohistochemical assays indicate that RP can significantly reduce the expression of IL-6, IL-1β, TNF-α induced by UVB radiation. Moreover, metabolomics and transcriptomics results suggest that RP regulates several metabolic pathways and gene expression, particularly in inflammatory signaling pathways, collagen synthesis and apoptosis, exhibiting significant regulatory effects. Furthermore, network pharmacological analysis predicts that RP may affect UVB-induced photoaging by regulating multiple key proteins and signaling pathways. Overall, this study demonstrates that RP has significant anti-photoaging ability, acting through several pathways including inhibition of inflammatory response, promotion of collagen synthesis and inhibition of apoptosis. These results provide a scientific basis for the application of RP in skin anti-photoaging and therapy, enabling the potential usage of RP to skin care products.
The effect of fatty acids, ionic strength, and electric fields on the microscopic dynamics of BSA aggregates
Authors: Kang Kyongok
Published: October 2023

This paper presents the microscopic dynamics of the concentrated suspensions of bovine serum albumin (BSA) proteins and their aggregates by dynamic light scattering (DLS) experiments. The effects of fatty acids binding to BSA, as well as the ionic strength and weak electric field, are discussed for affecting the stability of BSA suspensions against calcium-induced aggregation. By variation of the ionic strength, in the absence of an external electric field, DLS experiments show that monomer–BSA interactions (in the essentially fatty acid-free case) are overall repulsive but that, nevertheless, aggregation occurs to some extent. Also, the diffusive properties of different types of BSA are explored under an applied low-AC electric field by means of in situ electric small-angle depolarized DLS experiments, which reveal a significant decrease of the translational BSA–monomer diffusion coefficient with increasing frequency, while the aggregates indicate orientational motion via rotation on applying an electric field. These observations are interpreted in terms of (localized) orientation interactions obtained as oscillations in the intermediate scattering correlation function, as well as the anomalous slower relaxations as resulting in effective (collective) dynamics between monomeric BSA and their protein aggregates.
The mycoparasite Pythium oligandrum induces legume pathogen resistance and shapes rhizosphere microbiota without impacting mutualistic interactions
Authors: Hashemi Maryam , Amiel Aurélien , Zouaoui Mohamed , Adam Kévin , Clemente Hélène San , Aguilar Marielle , Pendaries Rémi , Couzigou Jean-Malo , Marti Guillaume , Gaulin Elodie , Roy Sébastien , Rey Thomas , Dumas Bernard
Published: October 2023

Pythium oligandrum is a soil-borne oomycete associated with rhizosphere and root tissues. Its ability to enhance plant growth, stimulate plant immunity and parasitize fungal and oomycete preys has led to the development of agricultural biocontrol products. Meanwhile, the effect of P. oligandrum on mutualistic interactions and more generally on root microbial communities has not been investigated. Here, we developed a biological system comprising P. oligandrum interacting with two legume plants, Medicago truncatula and Pisum sativum. P. oligandrum activity was investigated at the transcriptomics level through an RNAseq approach, metabolomics and finally metagenomics to investigate the impact of P. oligandrum on root microbiota. We found that P. oligandrum promotes plant growth in these two species and protects them against infection by the oomycete Aphanomyces euteiches, a devastating legume root pathogen. In addition, P. oligandrum up-regulated more than 1000 genes in M. truncatula roots including genes involved in plant defense and notably in the biosynthesis of antimicrobial compounds and validated the enhanced production of M. truncatula phytoalexins, medicarpin and formononetin. Despite this activation of plant immunity, we found that root colonization by P. oligandrum did not impaired symbiotic interactions, promoting the formation of large and multilobed symbiotic nodules with Ensifer meliloti and did not negatively affect the formation of arbuscular mycorrhizal symbiosis. Finally, metagenomic analyses showed the oomycete modifies the composition of fungal and bacterial communities. Together, our results provide novel insights regarding the involvement of P. oligandrum in the functioning of plant root microbiota.
Genetic diversity, population structure and anthracnose resistance response in a novel sweet sorghum diversity panel
Authors: Cuevas Hugo E. , Knoll Joseph E. , Prom Louis K. , Stutts Lauren R. , Vermerris Wilfred
Published: October 2023

Sweet sorghum is an attractive feedstock for the production of renewable chemicals and fuels due to the readily available fermentable sugars that can be extracted from the juice, and the additional stream of fermentable sugars that can be obtained from the cell wall polysaccharides in the bagasse. An important selection criterion for new sweet sorghum germplasm is resistance to anthracnose, a disease caused by the fungal pathogenColletotrichum sublineolum.The identification of novel anthracnose-resistance sources present in sweet sorghum germplasm offers a fast track towards the development of new resistant sweet sorghum germplasm. We established a sweet sorghum diversity panel (SWDP) of 272 accessions from the USDA-ARS National Plant Germplasm (NPGS) collection that includes landraces from 22 countries and advanced breeding material, and that represents ~15% of the NPGS sweet sorghum collection. Genomic characterization of the SWDP identified 171,954 single nucleotide polymorphisms (SNPs) with an average of one SNP per 4,071 kb. Population structure analysis revealed that the SWDP could be stratified into four populations and one admixed group, and that this population structure could be aligned to sorghum’s racial classification. Results from a two-year replicated trial of the SWDP for anthracnose resistance response in Texas, Georgia, Florida, and Puerto Rico showed 27 accessions to be resistant across locations, while 145 accessions showed variable resistance response against local pathotypes. A genome-wide association study identified 16 novel genomic regions associated with anthracnose resistance. Four resistance loci on chromosomes 3, 6, 8 and 9 were identified against pathotypes from Puerto Rico, and two resistance loci on chromosomes 3 and 8 against pathotypes from Texas. In Georgia and Florida, three resistance loci were detected on chromosomes 4, 5, 6 and four on chromosomes 4, 5 (two loci) and 7, respectively. One resistance locus on chromosome 2 was effective against pathotypes from Texas and Puerto Rico and a genomic region of 41.6 kb at the tip of chromosome 8 was associated with resistance response observed in Georgia, Texas, and Puerto Rico. This publicly available SWDP and the extensive evaluation of anthracnose resistance represent a valuable genomic resource for the improvement of sorghum.
An occluded cherry tomato recognition model based on improved YOLOv7
Authors: Hou Guangyu , Chen Haihua , Ma Yike , Jiang Mingkun , Hua Chen , Jiang Chunmao , Niu Runxin
Published: October 2023

The typical occlusion of cherry tomatoes in the natural environment is one of the most critical factors affecting the accurate picking of cherry tomato picking robots. To recognize occluded cherry tomatoes accurately and efficiently using deep convolutional neural networks, a new occluded cherry tomato recognition model DSP-YOLOv7-CA is proposed. Firstly, images of cherry tomatoes with different degrees of occlusion are acquired, four occlusion areas and four occlusion methods are defined, and a cherry tomato dataset (TOSL) is constructed. Then, based on YOLOv7, the convolution module of the original residual edges was replaced with null residual edges, depth-separable convolutional layers were added, and jump connections were added to reuse feature information. Then, a depth-separable convolutional layer is added to the SPPF module with fewer parameters to replace the original SPPCSPC module to solve the problem of loss of small target information by different pooled residual layers. Finally, a coordinate attention mechanism (CA) layer is introduced at the critical position of the enhanced feature extraction network to strengthen the attention to the occluded cherry tomato. The experimental results show that the DSP-YOLOv7-CA model outperforms other target detection models, with an average detection accuracy (mAP) of 98.86%, and the number of model parameters is reduced from 37.62MB to 33.71MB, which is better on the actual detection of cherry tomatoes with less than 95% occlusion. Relatively average results were obtained on detecting cherry tomatoes with a shade level higher than 95%, but such cherry tomatoes were not targeted for picking. The DSP-YOLOv7-CA model can accurately recognize the occluded cherry tomatoes in the natural environment, providing an effective solution for accurately picking cherry tomato picking robots.
High confidence QTLs and key genes identified using Meta-QTL analysis for enhancing heat tolerance in chickpea (Cicer arietinum L.)
Authors: Kumar Raj , Sharma Vinay Kumar , Rangari Sagar Krushnaji , Jha Uday Chand , Sahu Aakash , Paul Pronob J. , Gupta Shreshth , Gangurde Sunil S. , Kudapa Himabindu , Mir Reyazul Rouf , Gaur Pooran M. , Varshney Rajeev K. , Elango Dinakaran , Thudi Mahendar
Published: October 2023

The rising global temperatures seriously threaten sustainable crop production, particularly the productivity and production of heat-sensitive crops like chickpeas. Multiple QTLs have been identified to enhance the heat stress tolerance in chickpeas, but their successful use in breeding programs remains limited. Towards this direction, we constructed a high-density genetic map spanning 2233.5 cM with 1069 markers. Using 138 QTLs reported earlier, we identified six Meta-QTL regions for heat tolerance whose confidence interval was reduced by 2.7-folds compared to the reported QTLs. Meta-QTLs identified on CaLG01 and CaLG06 harbor QTLs for important traits, including days to 50% flowering, days to maturity, days to flower initiation, days to pod initiation, number of filled pods, visual score, seed yield per plant, biological yield per plant, chlorophyll content, and harvest index. In addition, key genes identified in Meta-QTL regions like Pollen receptor-like kinase 3 (CaPRK3), Flowering-promoting factor 1 (CaFPF1), Flowering Locus C (CaFLC), Heat stress transcription factor A-5 (CaHsfsA5), and Pollen-specific leucine-rich repeat extensins (CaLRXs) play an important role in regulating the flowering time, pollen germination, and growth. The consensus genomic regions, and the key genes reported in this study can be used in genomics-assisted breeding for enhancing heat tolerance and developing heat-resilient chickpea cultivars.
Profiles of epistemological beliefs, knowledge about explanation norms, and explanation skills: changes after an intervention
Authors: Klopp Eric , Krause-Wichmann Theresa , Stark Robin
Published: October 2023

In this study, we exploratively investigate the relation between students’ epistemological beliefs and their declarative knowledge about scientific explanations and their practical skills to explain psychological phenomena drawing on scientific theories before and after a training intervention using a person-centered approach. We theoretically derive profiles of epistemological beliefs that should be beneficial for constructing scientific explanations. We those having higher explanation skills show a profile of epistemological beliefs that is beneficial for explanations skills. Using a latent profile transition analysis and a sample with N = 108 students, we explore which profiles of epistemological beliefs, declarative knowledge about explanations, and explanation skills empirically emerge before and after an intervention that aimed and fostering students’ skills to construct scientific explanations. Before the intervention, two profiles emerged that differed in epistemological beliefs and explanation skills, but both did not in declarative knowledge about explanation. The intervention, in general, yielded a gain in declarative knowledge about explanations and explanation skills. After the intervention, again, two profiles emerged. However, these profiles did not differ in their epistemological beliefs but only in declarative knowledge about explanations and explanation skills. Thus, the intervention seems to level out the effects of epistemological beliefs. Additionally, the pattern of change in epistemological beliefs is consistent with theoretical expectations about which epistemological beliefs are beneficial for explanations. We discuss the results and their implications, as well as their limitations. Finally, we provide an outlook of using the person-oriented approach and this study’s type of intervention in the research on changing epistemological beliefs.
A new variation of modern prejudice: young Korean men's anti-feminism and male-victim ideology
Authors: Jung Han Wool
Published: October 2023

In South Korea, anti-feminism is now rapidly spreading online among young men, who have started to identify themselves as a social minority or “victims” of female power. Despite its ramifications, theoretically, anti-feminism is indistinct from the racism and sexism of White men that emerged more than half a century ago. In view of this, it shares the same root as typical modern racism or sexism, although it appears to be a novel phenomenon. Such a hypothesis was buttressed by quantifying the attitudes of anti-feminists toward various outgroups based on the transference of prejudice theory. Moreover, the subtle sexist undertones hidden in their arguments have been discussed using various psychological theories and empirical data/statistics. Additionally, various potential factors that may shape or accelerate their attitudes or behaviors have been discussed on the basis of the threat-defense theory. Through comprehensive literature review based on this theory, this study proposes the features related to Korean anti-feminism, encompassing behavioral/situational (overindulging violent or degrading Internet contents, verbal aggression), relational/epistemic (ostracism, attachment insecurity, pseudo-rationalism), and group-level (provocative interactions, polarization) attributes, some of which may also influence groups other than young men and ingrain or exacerbate the extreme ideologies of other groups, including young women. Scrutinizing Korean online anti-feminism and male-victim ideology may improve our understanding of the psychological origins of various social extremities or radical ideologies beyond cultural barriers.
Enhancing psychological well-being of school teachers in India: role of energy management, thriving, and stress
Authors: Chaudhry Smita , Chhajer Raina
Published: October 2023

Purpose

The psychological well-being of school teachers is a growing concern in the post-pandemic era. Many initiatives are undertaken by individual school authorities and government agencies to address this issue. In this study, we examine the impact of energy management, thriving, and stress on the psychological well-being of school teachers in India.

Method

Data was collected from 356 school teachers in Rajasthan, India, through a cross-sectional questionnaire survey. These teachers were working both in rural and urban areas. The relationship among energy management, thriving, stress, and psychological well-being was analyzed using hierarchical regression.

Results

The findings suggest that energy management positively impacts psychological well-being. A mediating effect of thriving and stress on the relationship between energy management and psychological well-being was also found. The results support that psychological well-being can be enhanced by investing in managing school teachers’ energy levels.

Discussion

These results contribute to our theoretical and practical understanding of factors that can enhance the psychological well-being of school teachers and improve the quality of education. Institutes may design and implement interventions on energy management to enhance the psychological well-being of school teachers.
Metacognitions in patients with chronic obstructive pulmonary disease: a psychometric study of the metacognitions questionnaire-30
Authors: Dammen Toril , Papageorgiou Costas , Lindstrøm Jonas Christoffer , Einvik Gunnar
Published: October 2023

The metacognitions questionnaire-30 (MCQ-30) was developed for the assessment of metacognitive beliefs and processes that are central components of the metacognitive model of emotional disorders. Anxiety and depression commonly occur in patients with chronic obstructive pulmonary disease (COPD). Testing such a model for anxiety and depression in patients with COPD is warranted. However, the psychometric properties of the MCQ-30 in COPD patients are unknown. Therefore, in this study we aimed to examine these properties in COPD patients. The MCQ-30 was administered to 203 COPD patients referred to a rehabilitation unit in respiratory medicine. Confirmatory factor analysis (CFA) was used to test the five-factor as well as the bi-factor models of MCQ-30. Exploratory factor analyses were also performed. Both models did not meet the criteria for an acceptable fit on Comparative Fit Index (CFI) of 0.810 and 0.858 vs. criterion of ≥0.9, but the Root Mean Square Error of Approximation (RMSEA) criterion ≤0.08 was acceptable for both models with RMSEA = 0.074 and 0.066, respectively. The factors were mostly moderately correlated (0.41–0.58) with acceptable reliability coefficients (0.73–0.87). The exploratory factor analysis identified three of the five factors originally described in the five-factor model of the MCQ-30. These data show that the factor structure of the MCQ-30 appears to differ from that of the original instrument in COPD patients and further studies are needed to confirm its validity and reliability in this patient group.
Social networks and customer loyalty: review of loyalty keys and main social networks publications’ characteristics
Authors: Dávila Espuela Nélida , Reina Paz Maria Dolores , Sevilla Sevilla Claudia
Published: October 2023

The aim of this work is to shed light on the characteristics and relationship between customer loyalty and publications by the companies on social networks; it has been undertaken with the aid of an exhaustive review of previous studies from 1994 up to the present time. The purpose of the research is to generate a model that can tackle the practical characteristics of the publications on social networks to encourage loyalty. With a view to this, a model is developed that is an extension of the traditional “Four Stage Loyalty Model” based on other constructions of the same model, and combined with the characteristics of social networks publications defined in earlier literature. This reflexive approach is particularly important here due to the fact that companies have to be closer to customers’ requirements and customers have the option to choose from which type of communication they wish to be the object.
Relapse prevention therapy for internet gaming disorder in Swedish child and adolescent psychiatric clinics: a randomized controlled trial
Authors: André Frida , Kapetanovic Sabina , Einarsson Isak , Trebbin Harvard Sunna , Franzén Leonard , Möttus Annika , Håkansson Anders , Claesdotter-Knutsson Emma
Published: October 2023

Objectives

To evaluate the effectiveness of relapse prevention (RP) as a treatment for internet gaming disorder (IGD).

Design

Randomized controlled trial.

Setting

Three child and adolescent psychiatry (CAP) units in Region Skåne, Sweden.

Participants

Children aged 13–18 years, coming for their first visit to CAP during 2022, were screened for gaming behavior. Those who met the proposed DSM-5 criteria for IGD were offered participation in the trial, if they had the capacity to provide written informed consent and if they spoke Swedish. A total of 111 CAP patients agreed to participate. Out of those, 11 patients were excluded due to incorrect inclusion such as young age (n = 1), or due to the absence of responses to follow-up measures (n = 9). After exclusion, 102 participants remained (intervention = 47, control = 55).

Interventions

The intervention, RP, is based on cognitive behavioral treatment (CBT) and was provided individually, comprising of five to seven 45-min sessions over a period of 5 to 7 weeks versus treatment as usual.

Outcome measures

Participants were assessed with Game Addiction Scale for Adolescents pre-treatment (GASA) (baseline), post-treatment (treatment group only), and 3 months after baseline (follow-up).

Results

The repeated measures ANOVA showed a significant interaction effect between treatment and time. Both the control group and treatment group lowered their mean GASA score from baseline to follow-up significantly, but the improvement was greater in the treatment group (mean difference in control group −5.1, p < 0.001, 95% CI = − 3.390 to −6.755, mean difference in treatment group −9.9, p < 0.001, 95% CI = −11.746 to −8.105).

Conclusion

RP was found to be superior to treatment as usual in terms of reduction of IGD symptoms. Future research should address which aspects within a given treatment are effective, who benefits from treatment, in what aspects, and why.

Trial registration number

ClinicalTrials.gov, NCT05506384 https://clinicaltrials.gov/ct2/show/NCT05506384.
Workplace wellbeing among health care workers providing HIV services in primary care in Johannesburg: a mixed methods study
Authors: Makina-Zimalirana Ndinda , Bisnauth Melanie , Shangase Nosipho , Davies Natasha , Jiyane Anele , Buthelezi Fezile , Rees Kate
Published: October 2023

Background

Burnout among Health Care workers (HCWs) impacts on provider-patient relations and quality of care. Anova Health Institute (Anova) is a large South African non-profit organization and PEPFAR/USAID implementing partner. We conducted a study among HCWs providing HIV-related services in primary care settings in Johannesburg, South Africa, to examine levels of burnout, understand factors affecting workplace wellbeing, and explore strategies to prevent burnout.

Methods

We used a sequential mixed-method approach. Data were collected between February and April 2022. The first phase consisted of a survey using the Maslach Burnout Inventory Human Services Survey (MBI-HSS) to measure levels of burnout. We then interviewed a subset of survey participants to understand the experiences that may affect wellbeing. We used descriptive statistics to quantify burnout rates for each MBI dimension (emotional exhaustion, personal accomplishment, and depersonalization). Qualitative data analysis was guided by the Job Demands-Resources Framework that explores the interactions between demands and resources in the workplace.

Results

Survey findings (n= 194) revealed that although depersonalization rates were low at 6%, 21% of participants had high emotional exhaustion and 24% reported low professional accomplishment. Less than half (41%,n= 80) had scores in the high category for any one of the three MBI-HSS dimensions. The MBI-HSS dimensions differed significantly by type of work and job title. Roving positions (HCW working in more than one health facility) were more likely to experience higher emotional exhaustion and lower professional accomplishment. Qualitative findings (n= 25) indicate that a number of job demands, including high workload, inadequate mental health support, and challenging relationships with stakeholders, had a negative effect on HCWs’ wellbeing. However, finding meaningfulness in their work, working as a team, and practicing autonomy were experienced as resources that reduced the negative effect of these demands.

Conclusion

While measured burnout syndrome rates were low, various experiences negatively impacted at least one in five HCW. We identified key resources that provided buffering against workplace stressors. We recommend that as well as addressing key drivers of burnout, access to these resources should be fostered, for example by strengthening interventions that offer recognition, and promoting team interactions through social activities and support groups.
Assessing the impact of sociodemographic and lifestyle factors on oral health: a cross-sectional study in the Hungarian population
Authors: Ghanem Amr Sayed , Móré Marianna , Nagy Attila Csaba
Published: October 2023

Introduction

Oral health, a critical aspect of overall well-being, is influenced by various sociodemographic and lifestyle factors, with poor oral health associated with systemic diseases and diminished quality of life.

Methods

This cross-sectional study leverages data from the Hungarian European Health Interview Survey (EHIS) representative of the Hungarian population, to conduct a comprehensive examination of the intersection between these factors and oral health, aiming to identify potential risk factors and contribute to the development of targeted interventions. The research examined associations between sociodemographic/lifestyle factors and oral health. Statistical techniques included Pearson’s Chi-square test, multivariate and ordinal logistic regression analyses. Weighting was applied to assure the representativeness of the population and enhance the validity of the survey results.

Results

The study identifies gender, age, education, financial status, smoking, and self-perceived oral health as key factors influencing oral health outcomes. Notably, regular dental visits significantly reduced the risk of poor oral health and caries. Females, non-smokers, university graduates, high-income individuals, and those with good self-perceived health had fewer missing teeth and better self-perceived oral health. Teeth extractions due to decay, especially when not replaced, significantly increased the perception of poor oral health, while regular dental visits improved it.

Discussion

The study highlights the need for personalized oral health interventions considering the different sociodemographic and lifestyle factors, along with promotion of healthy lifestyle, more frequent dental office visits and equitable dental care access. The findings offer the potential to inform regional oral health policies and prevention strategies, improving oral health and overall wellbeing.
The DREAM BIG project as a model for harmonizing early measures of parental care and parent-child interactions across epidemiological cohorts
Authors: Szekely Eszter , Laplante David P. , Tiemeier Henning , Evans Jonathan , Pearson Rebecca M. , Bekkhus Mona , Bakermans-Kranenburg Marian , van IJzendoorn Marinus H. , Wazana Ashley
Published: October 2023

Parenting is a key contributor to child development. The effects of parenting, however, also depend on child characteristics, including genetic factors. A more complete appraisal of the role of parenting thus requires a comprehensive developmental model which explores questions about parenting behavior, child susceptibility to parenting, and child psychopathology. Moving forward, we need to not only be concerned about sample sizes that limit testing of comprehensive models but also the need to replicate findings across multiple settings and samples. A consortium which harmonises key measures offers the opportunity to examine these questions. The Developmental Research in Environmental Adversity, Mental health, BIological susceptibility and Gender (DREAM BIG) consortium includes six international longitudinal prospective birth cohorts to explore the early life origins of major psychiatric disorders in childhood. Here, we will provide a brief overview of parental care research, methodological limitations, and two exciting recent attempts (i.e., the DREAM BIG consortium and the CATS-project), that address key methodological challenges.
Immunomodulation of periodontitis with SPMs
Authors: Sahni Vaibhav , Van Dyke Thomas E.
Published: October 2023

Inflammation is a critical component in the pathophysiology of numerous disease processes, with most therapeutic modalities focusing on its inhibition in order to achieve treatment outcomes. The resolution of inflammation is a separate, distinct pathway that entails the reversal of the inflammatory process to a state of homoeostasis rather than selective inhibition of specific components of the inflammatory cascade. The discovery of specialized pro-resolving mediators (SPMs) resulted in a paradigm shift in our understanding of disease etiopathology. Periodontal disease, traditionally considered as one of microbial etiology, is now understood to be an inflammation-driven process associated with dysbiosis of the oral microbiome that may be modulated with SPMs to achieve therapeutic benefit.
Foodborne hazards in food in Burkina Faso, 1990–2019: a systematic review and meta-analysis
Authors: Dinede Getachew , Amenu Kebede , Alonso Silvia , Gazu Lina , Mutua Florence , Roesel Kristina , Lindahl Johanna F. , Sousa Filipe Maximiano , Ulrich Pattama , Guadu Tadesse , Dione Michel , Ilboudo Guy , Knight-Jones Theodore J. D. , Grace Delia
Published: October 2023

Background

Foodborne diseases impose substantial public health burden and jeopardize socio-economic development worldwide. While accurate information on foodborne hazards is needed for informed decision in food safety interventions, such information is scarce in developing countries such as Burkina Faso. We conducted a systematic review and meta-analysis of studies reporting foodborne hazards in foods in Burkina Faso to describe the present knowledge of the situation.

Methods

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was used to conduct this review. Abstracts were searched in PubMed and CAB direct between 1 January 1990 to 30 September 2019. We used random-effects models to estimate pooled prevalence and I2 values to measure heterogeneity between studies.

Results

188 articles were identified, of which 14 are included in this review: 12 were on bacterial hazards (Salmonella, Campylobacter, Staphylococcus, E. coli, Shigella), three on fungal hazards and one on parasitic hazards (Toxoplasma gondii). The overall pooled prevalence of Salmonella spp. was 13% (95% CI: 8–21), the highest in lettuce: 50% (95% CI: 30–70) and the lowest in milk: 1.2% (95% CI: 0–5), demonstrating substantial variation among the studies (I2 = 85, 95% CI: 79–90%, p < 0.01). Campylobacter spp. was reported in chicken carcass, with 50% of the samples being positive. The overall pooled microbial load of Staphylococcus in the studied food samples was 3.2 log (95% CI: 2.8–3.6) CFU per g or ml of food, the highest in poultry samples: 4.5 log (95% CI: 2.8–6.2) CFU per g or ml of food. The overall pooled prevalence of Escherichia coli (E. coli) was 40% (95% CI: 29–51), the highest in beef intestines: 62% (95% CI: 22–91) and the lowest in dairy products: 31% (95% CI: 17–50), showing substantial variation across the studies (I2 = 86, 95% CI: 80–90%, p < 0.01).

Conclusion

Our results showed widespread contamination of foods with foodborne hazards across various food value chains indicating poor hygienic handling of foods, raising consumers’ health risk due to foodborne illnesses from the foods. We recommend promotion of awareness creation in food safety and improved monitoring of hazards in food.
Social Media Overload as a Predictor of Depressive Symptoms Under the COVID-19 Infodemic: A Cross-Sectional Survey From Chinese University Students
Authors: Xie Tian , Wang Yangyang , Cheng Yali
Published: October 2023

Objectives: People’s mental health and digital usage have attracted widespread attention during the COVID-19 pandemic. This study aimed to investigate how social media overload influenced depressive symptoms under the COVID-19 infodemic and the role of risk perception and social media fatigue.

Methods: A questionnaire survey was conducted on 644 college students during the COVID-19 lockdown in Shanghai, and data analysis was conducted using the PROCESS4.0 tool.

Results: The findings showed that in the COVID-19 information epidemic: 1) both information overload and communication overload were significantly and positively associated with depressive symptoms; 2) risk perception of COVID-19, and social media fatigue mediated this association separately; 3) and there was a chain mediating relationship between communication overload and depressive symptoms.

Conclusion: Social media overload was positively associated with depressive symptoms among college students under the COVID-19 infodemic by increasing risk perception and social media fatigue. The findings sparked further thinking on how the public should correctly use social media for risk communication during public health emergencies.