bluuebunny/crossref_metadata_2025 huggingface dataset:
New genetic mutations in a Chinese child with Ehlers-Danlos syndrome-like spondyloepimetaphyseal dysplasia: A case report
Authors: Han Shu , Xu Xuan , Wen Jie , Wang Jianzhou , Xiao Sheng , Pan Li , Wang Jiang
Published: December 2022

Background

Ehlers-Danlos syndrome (EDS) spinal deformity type 2 has clinical features similar to those of spondyloepimetaphyseal dysplasia with joint laxity, type 1 (SEMDJL1). They have similar clinical manifestations and a similar genetic basis, both of which can be caused by mutations in the B3GALT6 gene. Hence, genetic screening and careful clinical examination are key to the differential diagnosis of these two diseases.

Case presentation

A 4-month-old boy was admitted to our hospital in order to find the causes of developmental delay. The clinical examination revealed that the child was delayed, with an excessive range of motion of joints, patent foramen ovale, and was accompanied by skin aging; the child was suspected to have EDS. However, unlike EDS, the child had normal muscle tension, and at the same time had a spinal deformity, mild kyphosis, widened right hip joint space, as well as a special face, joint laxity, and slender fingers, which were typical characteristics of SEMDJL1. A gene analysis showed two suspicious mutations in the B3GALT6 gene: c.808G > A(p.(G270S)) and c.942G > C(p.(W314C)), which were verified to be compound heterozygous mutations by analyzing genes in his parents. This mutation was not included in the HGMD, ClinVar, and other mutation databases, and thus was a newly discovered mutation.

Conclusion

Using the clinical and genetic analyses, this study reported a Chinese case with EDS-like SEMDJL1 for the first time. Two pathogenic mutations were discovered in the B3GALT6 gene: c.808G > A(p.(G270S)) and c.942G > C(p.(W314C)).
The circadian clock component BMAL1 regulates osteogenesis in osseointegration
Authors: Deng Shiyong , Qi Meiyao , Gong Ping , Tan Zhen
Published: December 2022

Congenital and developmental craniofacial deformities often cause bone defects, misalignment, and soft tissue asymmetry, which can lead to facial function and morphologic abnormalities, especially among children born with cleft lip and palate. Joint efforts from oral maxillofacial surgery, oral implantology, and cosmetic surgery are often required for diagnosis and treatment. As one of the most widely performed treatment methods, implant-supported cranio-maxillofacial prostheses have been widely applied in the course of treatment. Therefore, stability of peri-implant bone tissue is crucial for the long-term success of treatment and patients’ quality of life. The circadian clock component brain and muscle aryl hydrocarbon receptor nuclear translocator-like protein 1 (BMAL1) was found to be involved in the cell fate of bone marrow mesenchymal stem cells, which were essential in the fixation of titanium implants. This study aimed to investigate the effect of BMAL1 on osteogenesis in osseointegration, providing a brand new solution to increase bone implant conjunction efficiency and implant stability, paving the way for a long-term satisfactory therapy outcome.
Gastrointestinal manifestations in children with COVID-19 infection: Retrospective tertiary center experience
Authors: Bitar Rana R , Alattas Bushra , Azaz Amer , Rawat David , Miqdady Mohamad
Published: December 2022

Objective

The majority of pediatric severe acute respiratory syndrome coronavirus 2 (COVID-19) cases demonstrate asymptomatic, mild or moderate disease. The main symptoms in children with COVID-19 are respiratory symptoms but some patients develop gastrointestinal symptoms and liver injury. We aim to review gastrointestinal symptoms and liver injury in children with confirmed COVID-19 infection.

Method

This is a retrospective case note review of children with positive COVID-19 nasal Polymerase Chain Reaction aged 0–18 years admitted to a tertiary pediatric hospital from March 1st till June 1st 2020.

Results

180 children were identified. Mean age was 5 years (Range: 0.01–17), the majority of patients were school aged (30%). Patients were mainly from East Asia 81 (45%) and Arabs 67 (37%). Gastrointestinal symptoms were encountered in 48 (27%) patients and 8 (4%) patients had only Gastrointestinal symptoms with no associated fever or respiratory symptoms. Liver injury was seen in 57 (32%) patients. Patients with fever and cough were more likely to have gastrointestinal symptoms (P = <0.001 and 0.004 respectively). Fever was more likely to be associated with liver injury (P = 0.021). Children with abdominal pain were more likely to have elevated C-Reactive Protein (P = 0.037). Patients with diarrhea and vomiting were more likely to have elevated procalcitonin (P = 0.034 and 0.002 respectively). Children with Gastrointestinal symptoms were not more likely to be admitted to Pediatric Intensive Care Unit (P = 0.57).

Conclusion

COVID-19 infection in children can display gastrointestinal symptoms at initial presentation. Additionally, gastrointestinal symptoms can be the only symptoms patients display. We demonstrated that children with gastrointestinal symptoms and liver injury can develop more severe COVID-19 disease and are more likely to have fever, cough, and raised inflammatory markers. Identifying children with gastrointestinal manifestations needs to be part of the initial screening assessment of children.

What is known?

• Pediatric COVID-19 cases mostly demonstrate asymptomatic, mild or moderate disease.

• The symptoms in children are mainly respiratory but some display gastrointestinal symptoms.

• Children with COVID-19 display increased gastrointestinal symptoms when compared to adults.

What is new?

• Children with COVID-19 displaying gastrointestinal symptoms are more likely to have fever, cough and elevated inflammatory markers.

• Children with liver injury are more likely to develop fever.

• Children with gastrointestinal involvement in COVID-19 are more likely to demonstrate more severe disease but are not more likely to be admitted to PICU.
Exploring the effects of drug, disease, and protein dependencies on biomedical named entity recognition: A comparative analysis
Authors: Han Peifu , Li Xue , Wang Xun , Wang Shuang , Gao Changnan , Chen Wenqi
Published: December 2022

Background: Biomedical named entity recognition is one of the important tasks of biomedical literature mining. With the development of natural language processing technology, many deep learning models are used to extract valuable information from the biomedical literature, which promotes the development of effective BioNER models. However, for specialized domains with diverse and complex contexts and a richer set of semantically related entity types (e.g., drug molecules, targets, pathways, etc., in the biomedical domain), whether the dependencies of these drugs, diseases, and targets can be helpful still needs to be explored.

Method: Providing additional dependency information beyond context, a method based on the graph attention network and BERT pre-training model named MKGAT is proposed to improve BioNER performance in the biomedical domain. To enhance BioNER by using external dependency knowledge, we integrate BERT-processed text embeddings and entity dependencies to construct better entity embedding representations for biomedical named entity recognition.

Results: The proposed method obtains competitive accuracy and higher efficiency than the state-of-the-art method on three datasets, namely, NCBI-disease corpus, BC2GM, and BC5CDR-chem, with a precision of 90.71%, 88.19%, and 95.71%, recall of 92.52%, 88.05%, and 95.62%, and F1-scores of 91.61%, 88.12%, and 95.66%, respectively, which performs better than existing methods.

Conclusion: Drug, disease, and protein dependencies can allow entities to be better represented in neural networks, thereby improving the performance of BioNER.
Comprehensive metabolomics and lipidomics profiling uncovering neuroprotective effects of Ginkgo biloba L. leaf extract on Alzheimer’s disease
Authors: Liu Li-Wei , Yue He-Ying , Zou Jing , Tang Meng , Zou Fan-Mei , Li Zhuo-Lun , Jia Qing-Quan , Li Yu-Bo , Kang Jian , Zuo Li-Hua
Published: December 2022

Introduction:Ginkgo biloba L. leaf extract (GBLE) has been reported to be effective for alleviating cognitive and memory impairment in Alzheimer’s disease (AD). Nevertheless, the potential mechanism remains unclear. Herein, this study aimed to explore the neuroprotective effects of GBLE on AD and elaborate the underlying therapeutic mechanism.

Methods: Donepezil, the most widely prescribed drug for AD, was used as a positive control. An integrated metabolomics and lipidomics approach was adopted to characterize plasma metabolic phenotype of APP/PS1 double transgenic mice and describe the metabolomic and lipidomic fingerprint changes after GBLE intervention. The Morris water maze test and immunohistochemistry were applied to evaluate the efficacy of GBLE.

Results: As a result, administration of GBLE significantly improved the cognitive function and alleviated amyloid beta (Aβ) deposition in APP/PS1 mice, showing similar effects to donepezil. Significant alterations were observed in metabolic signatures of APP/PS1 mice compared with wild type (WT) mice by metabolomic analysis. A total of 60 markedly altered differential metabolites were identified, including 28 lipid and lipid-like molecules, 13 organic acids and derivatives, 11 organic nitrogen compounds, and 8 other compounds, indicative of significant changes in lipid metabolism of AD. Further lipidomic profiling showed that the differential expressed lipid metabolites between APP/PS1 and WT mice mainly consisted of phosphatidylcholines, lysophosphatidylcholines, triglycerides, and ceramides. Taking together all the data, the plasma metabolic signature of APP/PS1 mice was primarily characterized by disrupted sphingolipid metabolism, glycerophospholipid metabolism, glycerolipid metabolism, and amino acid metabolism. Most of the disordered metabolites were ameliorated after GBLE treatment, 19 metabolites and 24 lipids of which were significantly reversely regulated (adjusted-p<0.05), which were considered as potential therapeutic targets of GBLE on AD. The response of APP/PS1 mice to GBLE was similar to that of donepezil, which significantly reversed the levels of 23 disturbed metabolites and 30 lipids.

Discussion: Our data suggested that lipid metabolism was dramatically perturbed in the plasma of APP/PS1 mice, and GBLE might exert its neuroprotective effects by restoring lipid metabolic balance. This work provided a basis for better understanding the potential pathogenesis of AD and shed new light on the therapeutic mechanism of GBLE in the treatment of AD.
Ingenious characterization and assessment of lentil germplasm collection to aphid Acyrthosiphon pisum stress unveils distinct responses
Authors: Zafeiriou Ioannis , Ntoanidou Symela , Baira Eirini , Kasiotis Konstantinos M. , Barmpouni Theodora , Machera Kyriaki , Mylona Photini V.
Published: December 2022

Lentil cultivation is often hampered by aphid population outspreads with detrimental impacts to crop development and production, challenging food safety and agriculture sustainability. The pea aphid (Acyrthosiphon pisum) is a significant threat to lentil in the temperate zone rainfed systems. A set of management practices including resilient cultivars and application of insecticides have effectively controlled aphid infestation. However, the plant defense against insect pests is scantily dissected and limited to the individual components including antibiosis, antixenosis and tolerance that constitute a combination of plant stress responses. Utilizing a lentil germplasm collection, we assessed the antixenosis and aphid tolerance mechanisms in association to important morphological parameters. Physiological parameters including relative water content (RWC) measured at 24h and 48h post-aphid infestation revealed genotype-specific responses. The contents of key plant hormones including salicylic acid (SA), jasmonic acid (JA), abscisic acid (ABA) and indoleacetic acid (IAA) implicated in defense signal-transduction pathways were also determined in lentil accessions after aphid herbivory infestation. In parallel, the expression of hallmark defense genes governed by SA- and JA-signaling pathways at 24h and 48h post aphid herbivory revealed significant differentiation patterns among the accessions. An interplay of hormone crosstalk is unveiled that possibly governs defense responses and aphid resistance. Besides the metabolomic profiling of accessions under aphid herbivory indicated the indispensable role of key secondary metabolites accumulation such as flavonoids, alkaloids, phenolics and fatty acids as a front line of plant defense and a potential integration of hormone signaling pathways in metabolome reprogramming. Overall, the study presents a panorama of distinct lentil responses to aphids and a critical view of the molecular mechanisms implicated in lentil insect defense to further our insight and advance crop protection and breeding approaches in a climate changing environment.
Right-deviating prismatic adaptation reduces obsessions in a community sample
Authors: Magnani Barbara , Frassinetti Francesca , Franceschini Christian , Dimaggio Giancarlo , Musetti Alessandro
Published: December 2022

Background and aims

Patients with obsessive-compulsive (OC) disorder are impaired in disengaging attention from negative valence stimuli and show an attentional bias toward the right space. This pattern in OC disorder is similar to the impaired disengagement of attention from stimuli in the ipsilesional space as a consequence of a right-hemispheric cerebral lesion in patients with neglect, suggesting a right hemispheric dysfunction in patients with OC disorder. The attentional impairment in patients with neglect is reduced by a visuomotor procedure, such as prismatic adaptation (PA) with right-deviating lenses. Thus, here, we explored whether right-deviating PA is also effective in reducing OC psychological symptoms.

Methods

Participants with a high rate of OC symptoms completed self-report measures of such symptoms before and after right- or left-deviating PA.

Results

Right-deviating PA, and not left-deviating PA, reduced OC symptoms more prominently on obsessions than compulsions.

Conclusion

Results support the idea that right-deviating PA might be considered an effective technique to modulate OC symptoms. This has implications for theories about the underlying mechanisms of OC symptoms and the consideration of PA as a complementary procedure to psychological treatments.
Using latent profile analysis to uncover the combined role of anxiety sensitivity and test anxiety in students’ state anxiety
Authors: Journault Audrey-Ann , Plante Isabelle , Charbonneau Sandrine , Sauvageau Claudia , Longpré Charlotte , Giguère Charles-Édouard , Labonté Carolanne , Roger Kassandra , Cernik Rebecca , Chaffee Kathryn Everhart , Dumont Laurence , Labelle Réal , Lupien Sonia J.
Published: December 2022

Background

Studies report a growing tendency for students to experience state anxiety in schools. However, the combination of individual susceptibilities likely to trigger students’ anxious states remains unclear.

Aims

This study examined whether distinct profiles of students emerge regarding their susceptibility to anxiety sensitivity and/or test anxiety and evaluated whether students’ profile predicted anxious states. We also verified whether susceptibility profiles varied across gender, school level, and school type.

Sample and methods

In total, 1,404 Canadian students in Grades 5 and 10 (589 boys; Mage = 15.2, SD = 2.1) from 13 public and private schools completed self-reported measures of state/trait anxiety, anxiety sensitivity, and test anxiety.

Results

Latent profile analyses identified four susceptibility profiles: (1) Double-susceptibility: highest anxiety sensitivity and test anxiety scores; (2) Unique-susceptibility to test anxiety: high test anxiety score and low anxiety sensitivity score; (3) Unique-susceptibility to anxiety sensitivity: high anxiety sensitivity score and low test anxiety score; and (4) No-susceptibility: lowest anxiety sensitivity and test anxiety scores. The profiles comprised 12, 9, 6, and 73% of the sample, respectively, and their membership varied across gender and school type, but not across school levels. A linear mixed-effect model showed that state anxiety varied significantly between profiles, where the Double-susceptibility profile predicted the highest state anxiety scores, followed by the two Unique-susceptibility profiles (indifferently), and the No-susceptibility profile.

Conclusion

Beyond their theoretical contribution to the state–trait anxiety literature, these findings suggest that selective interventions designed more specifically for students with the Double-susceptibility profile may be worthwhile. Results also highlight the high proportion of students with the No-susceptibility profile and shed light on the reassuring portrait regarding students’ anxiety.
A comparison of the differences in the way parents and grandparents interact with children and their effects on children’s creative performance
Authors: Lu Ye , Pei Yilai , Pang Weiguo
Published: December 2022

As grandparents’ involvement in parenting becomes more common, it is valuable to understand the differences between grandparenting and parenting and how these differences affect children. To elucidate the differences between grandparenting and parenting and their effects on children’s creativity performance, children’s performance on creativity tasks after grandparent–child interactions and parent–child interactions were compared, and the behavioral differences between grandparents and parents when interacting with children were discussed. In this study, grandparents and parents were asked to interact with children separately, and creativity performance was measured before and after adult-child interactions. The results showed that children’s creative performance improved significantly after parent–child interactions, while there was little change after grandparent–child interactions. In addition, according to parental investment theory, parents provided children with more cognitive and interpersonal resources during the interaction compared to grandparents.
Economic analyses of behavioral health intervention implementation: Perspective on stakeholder engagement
Authors: Raciborski Rebecca A. , Woodward Eva N. , Painter Jacob T.
Published: December 2022

To provide full potential benefits to patients, behavioral health interventions often require comprehensive and systematic implementation efforts. The costs of these efforts should therefore be included when organizations decide to fund or adopt a new intervention. However, existing guidelines for conducting economic analyses like cost-effectiveness analyses and budget impact analyses are not well-suited to the complexity of the behavioral healthcare pathway and its many stakeholders. Stakeholder engagement, when used effectively with recent innovations in economic analysis, advance more equitable access to interventions for individuals living with behavioral health conditions. But early and ongoing stakeholder engagement has not yet been incorporated into best-practice guidelines for economic evaluation. We discuss our perspective, as researchers and clinicians in a large integrated health system, on how the integration of stakeholder engagement with existing economic analysis methods could improve decision-making about implementation of behavioral health interventions.
Bipolar spectrum disorders in neurologic disorders
Authors: Digiovanni Anna , Ajdinaj Paola , Russo Mirella , Sensi Stefano L. , Onofrj Marco , Thomas Astrid
Published: December 2022

Psychiatric symptoms frequently predate or complicate neurological disorders, such as neurodegenerative diseases. Symptoms of bipolar spectrum disorders (BSD), like mood, behavioral, and psychotic alterations, are known to occur – individually or as a syndromic cluster – in Parkinson’s disease and in the behavioral variant of frontotemporal dementia (FTD). Nonetheless, due to shared pathophysiological mechanisms, or genetic predisposition, several other neurological disorders show significant, yet neglected, clinical and biological overlaps with BSD like neuroinflammation, ion channel dysfunctions, neurotransmission imbalance, or neurodegeneration. BSD pathophysiology is still largely unclear, but large-scale network dysfunctions are known to participate in the onset of mood disorders and psychotic symptoms. Thus, functional alterations can unleash BSD symptoms years before the evidence of an organic disease of the central nervous system. The aim of our narrative review was to illustrate the numerous intersections between BSD and neurological disorders from a clinical-biological point of view and the underlying predisposing factors, to guide future diagnostic and therapeutical research in the field.
Relationship between thyroid hormone and sex hormone levels and non-suicidal self-injury in male adolescents with depression
Authors: Ma Jiahui , Zhao Mingming , Niu Gengyun , Wang Zhifei , Jiang Shan , Liu Zengxun
Published: December 2022

Objective

Non-suicidal self-injury (NSSI) is the intentional and repeated direct injury to one’s bodily tissues or organs without the intent to die, which is not socially sanctioned and does not result in death. This study will be the first to explore the relationship between NSSI behavior and thyroid hormone and sex hormone levels in male adolescents with depression.

Methods

Among the inpatients in the children’s ward of Shandong Mental Health Center, eighty male patients with first-episode depressive disorder were randomly selected. Forty male adolescent depressed patients with NSSI behaviors were set as the NSSI group, and forty male adolescent depressed patients without NSSI behaviors were set as the No-NSSI group. Their thyroid hormones (free triiodothyronine, free thyroxine, and thyroid stimulating hormone) and sex hormones (estradiol, progesterone, and testosterone) were measured, and the severity of self-injury in the NSSI group was assessed using the Adolescent Self-Injury Questionnaire. The NSSI group was tested again after 6 weeks of sertraline treatment for biological indicators and assessed by the Self-Injury Questionnaire to compare the hormonal differences between the NSSI group and the No-NSSI group and compare the differences of each index before and after treatment in the NSSI group.

Results

T3/T4 (p = 0.001) and FT3 (p = 0.023), TSH levels (p < 0.001) were lower in the NSSI group than in the No-NSSI group before treatment, and FT4 (p = 0.036) and T (p < 0.001) levels were higher than in the No-NSSI group. T3/T4 levels were higher in the NSSI group after treatment (p < 0.001). FT4 (p < 0.001) and T (p = 0.001) levels and self-injury questionnaire scores (p < 0.001) decreased after treatment in the NSSI group. In the NSSI group at baseline, FT4 levels were negatively correlated with self-injury questionnaire scores (r = −0.459, p = 0.003) and testosterone levels were positively correlated with self-injury questionnaire scores (r = 0.383, p = 0.015), and in the NSSI group after treatment, FT4 difference was negatively correlated with self-injury questionnaire score reduction rate (r = −0.037, p = 0.019), and testosterone difference was positively correlated with self-injury questionnaire score reduction rate (r = 0.424, p = 0.006). Logistic regression analysis showed that low TSH and high testosterone levels were independent risk factors for the development of non-suicidal self-harming behaviors in male adolescent depressed patients.

Conclusion

Changes in thyroid hormone and sex hormone levels may be associated with non-suicidal self-injurious behavior in male adolescent depressed patients.
A “patient as educator” intervention: Reducing stigmatizing attitudes toward mental illness among medical students
Authors: Atienza-Carbonell Beatriz , Hernández-Évole Helena , Balanzá-Martínez Vicent
Published: December 2022

Introduction

This pre-post quasi-experimental pilot study aimed to assess the degree of stigma toward mental illness and whether a single, direct-contact “patient as educator” intervention with people with mental illness can reduce the degree of stigma among medical students.

Methods

All second-year medical students from the University of Valencia were invited to voluntarily complete the Community Attitudes Toward the Mentally Ill (CAMI), Reported and Intended Behavior Scale (RIBS), and Mental Health Knowledge Scale (MAKS) questionnaires before and after participating in the formal medical psychology course. A “patient as educator” workshop with expert patients was organized in the middle of the semester. A total of 127 students completed the survey; 20 students participated in the workshop (workshop group), and the remaining 107 students only took the formal educational course, forming the control group.

Results

At baseline, the groups were demographically matched and did not differ in the components of stigma or knowledge of mental illness. After the intervention, a greater reduction in the CAMI subscales of authoritarianism and social restriction was observed in the workshop group than in the control group. In the workshop group, scores for the benevolence subscale of the CAMI decreased more among women than men. In the control group, scores for the authoritarianism and benevolence subscales of the CAMI increased and decreased significantly more, respectively, in women than men. No significant changes were observed in scores for the RIBS at post-intervention in either group.

Discussion

The results of this pilot study suggest that a brief, direct-contact intervention in addition to formal medical education may further help reduce stigmatizing attitudes during the first years of medical school.
Tuberculosis Monitoring Encouragement Adherence Drive (TMEAD): Toward improving the adherence of the patients with drug-sensitive tuberculosis in Nashik, Maharashtra
Authors: Saha Somen , Saxena Deepak , Raval Devang , Halkarni Nishad , Doshi Rahul , Joshi Madhav , Sridharan Mridhula , Sathwara Jignasa , Yasobant Sandul , Shah Harsh , Quazi Zahiruddin Syed , Rajsekar Kavitha , Chowdhury Jayeeta
Published: December 2022

Introduction

Adherence to tuberculosis (TB) medication is one of the critical challenges to tuberculosis elimination in India. Digital adherence technologies (DAT) have the potential to facilitate medication adherence and monitor it remotely. Tuberculosis Monitoring Encouragement Adherence Drive (TMEAD) is one such DAT piloted in Nasik, Maharashtra, from April 2020 to December 2021. The study aims to assess the adherence and cost-effectiveness of TMEAD compared to the standard of care among patients with drug-sensitive tuberculosis (DSTB) residing in the urban areas of Nasik, Maharashtra, India.

Methods

A quasi-experimental study was conducted among new cases of TB as per the National TB Elimination Programme (NTEP) residing in the urban geography of Nasik. The intervention and control arms were purposively selected from non-contaminating TB units (TUs). A total of 400 DSTB patients (200 in the intervention group and 200 in the control group) were enrolled. After enrolment, patients in the intervention arm were provided with the TMEAD device and followed for 24 weeks to assess treatment outcomes. Adherence was measured as those patients who have completed 80% of prescribed doses, as reported during patient follow-up, and further validated by analyzing the trace of rifampicin in urine among 20% of patients from both arms. A budget impact analysis was done to assess the impact of the TMEAD program on the overall state health budget.

Results

Out of 400 enrolled DSTB patients, 261 patients completed treatment, 108 patients were on treatment, 15 patients died, and 16 patients were defaulters over the study period. The study reported overall treatment adherence of 94% among those who completed treatment. Patient reports indicated high levels of treatment adherence in the intervention group (99%) as compared to the control group (90%). Adherence assessed through analyzing trace of rifampicin in the urine sample for the intervention arm was 84% compared to the control arm (80%). Per beneficiary (discounted) cost for TMEAD was Indian rupees (INR) 6,573 (USD 83). The incremental cost-effectiveness ratio of the intervention is INR 11,599 (USD 146), which shows that the intervention is highly cost-effective.

Conclusion

This study revealed that patient-reported treatment adherence was high in TMEAD when compared to standard therapy of care for DSTB patients and the intervention is cost-effective. TMEAD could complement the national strategy to end TB by improving adherence to the treatment regimen in India.
Understanding the relationships between health spending, treatable mortality and economic productivity in OECD countries
Authors: Ivankova Viera , Gavurova Beata , Khouri Samer
Published: December 2022

Introduction

Population health is one of the highest priorities for countries, which can translate into increased economic prosperity. This encourages research on health in an economic context.

Methods

The objective was to assess the relationships between health spending, treatable respiratory mortality, and gross domestic product (GDP) in countries of the Organization for Economic Co-operation and Development (OECD). The research was conducted with respect to health systems (tax-based, insurance-based) and gender differentiation of the productive population (aged 25–64 years). Descriptive analysis, regression analysis, and cluster analysis were used to achieve the main objective. The data covered the period from 1994 to 2016.

Results

The results of the regression analysis revealed negative relationships between health spending and treatable respiratory mortality in countries with a tax-based health system for male and female working-age populations, as well as in countries with an insurance-based health system for male population. This means that higher health spending was associated with lower treatable respiratory mortality. Also, lower treatable mortality was associated with higher GDP, especially in the male productive population from countries with an insurance-based health system. In this study, countries with a tax-based health system were characterized by higher health spending, lower rates of treatable mortality from respiratory system diseases, and higher GDP compared to countries with an insurance-based health system. Males reported a higher mortality rate than females. Among the countries with a tax-based health system, the United Kingdom and Latvia showed less positive outcomes, while Italy and Iceland were the countries with the most positive outcomes. Among the countries with an insurance-based health system, Hungary and Slovakia reported poor outcomes, while France, Switzerland and Luxembourg were characterized by very positive outcomes. The United States showed a high mortality rate despite its high economic outcomes, i.e., health spending and GDP.

Discussion

Health care financing in particular is one of the instruments of health policy. It seems that the leaders of countries should ensure a sufficient level of health financing, as higher health spending can contribute to lower mortality rates in a country. This may translate into higher productivity. Especially countries with underfunded health systems should increase their health spending.
Participation in community seniors' organizations and mental health among retired adults in urban China: The mediating role of interpersonal needs
Authors: Lei Yuruo , Lao Jie , Liu Jiawei
Published: December 2022

Purpose

This study aimed to investigate the association between participation in community seniors' organizations (CSOs) and mental health among retired adults in urban China, and illustrate the causal mechanism.

Methods

We collected data on participation from a community seniors' organization and mental health survey in Shenzhen City, China, in July 2022. The survey used a two-stage cluster sample design, based on administrative divisions as the primary sampling unit and communities as the second sampling unit, where retired adults were randomly sampled. The inclusion criteria were individuals >60 years old (the mandatory age for retirement in China) or women who retired early at the age of 45 years. We used three multivariable regression models to estimate the effects of participation in CSOs on mental health. Furthermore, we used structural equation models to examine the mediator of acquired interpersonal needs in the association between CSOs participation and mental health.

Results

The study examined the values of CSOs, generated explicitly for older adults and explained how participation in such organizations benefits retired adults' mental health. Mental health is defined in three dimensions: aggregate mental health, positive emotions, and negative emotions. The results show that constituting social networks with like-minded individuals and perceiving interpersonal needs are the two main benefits of CSOs on mental health. The retired individual who participated in CSOs with a higher level of diversity and frequency, joined specific types such as health- and study-related CSOs, could receive more interpersonal needs and were probably mentally healthier. The mediating mechanism of interpersonal needs associated with participation in mental health was significant. Besides, mental health is generally affected by physical health, sleep quality, and socioeconomic status.

Conclusion

This study suggested that CSOs have expanded the social interaction channels of retired adults and affected their mental health by providing basic interpersonal needs such as inclusion, dominance, and affection. Among the types of CSOs, health and study organizations might enhance mental health most effectively, while semi-official organizations have no effect.
Association between smartphone overdependency and mental health in Korean adolescents during the COVID pandemic; Age-and gender-matched study
Authors: Kim Na-Hye , Lee Jae-Moo , Yang Seo-Hyung , Lee Jung-Min
Published: December 2022

Purpose

This study aimed to examine the relationship between smartphone dependency (SD) and mental health (MH) in adolescents in order to develop and implement plans pertaining to SD control.

Methods

Raw data from the 16th Online Adolescent Health Behavior Survey in 2020 were analyzed. A total of 482 respondents were selected as study subjects based on their experience of smartphone overdependence (SO), specifically, 241 participants whose score for SO was 37 or higher (Group 2) and age- and gender-matched 241 participants whose score was lower than 10 (Group 1).

Results

Frequency analysis, cross-tab analysis (χ2 test), and multinomial logistic regression were performed Analysis shows that the MH affecting the increase in SO is the subjective perception of happiness, subjective perception of stress, sadness and despair, and experience of Loneliness. But, the variable affecting the reduction is the subjective evaluation of sleep quality. The likelihood of SO increased as adolescents felt unhappier [Exp (β) = 2.408] and more stressed [Exp (β) = 4.453] and more often felt lonely [Exp (β) = 8.149], but the likelihood decreased as they had neither sufficient nor insufficient sleep duration [Exp (β) = 0.344]. The findings suggest that it is necessary to develop aggressive measures for the prevention and management of MH in adolescents showing SO because mental health is closely linked to SD. In developing the measures, realistic approaches to widely pervasive SO among adolescents should be explored by taking into account MH factors, that is, predictors of SO, and the characteristics of youths, such that they can self-control smartphone use and form desirable life habits.
Older adults as designers of behavior change strategies to increase physical activity—Report of a participatory design process
Authors: Janols Rebecka , Sandlund Marlene , Lindgren Helena , Pettersson Beatrice
Published: December 2022

Background

Despite the significant value of physical activity for the health of older adults, this population often fails to achieve recommended activity levels. Digital interventions show promise in providing support for self-managed physical activity. However, more information is needed about older adults' preferences for digital support to change physical activity behaviors as well as the process of designing them. The aim of this paper was to describe the participatory design process in which older adults were involved in the co-creation of digitally supported behavioral change strategies to support self-managed physical activity, and how the results were integrated in a prototype.

Methods

The participatory design process involved with nine older adults and two researchers. The participants were divided in two groups, and each group participated in three workshops and completed home tasks in between workshops. Following an iterative design process influenced by theories of behavior change, the workshops and home tasks were continuously analyzed, and the content and process were developed between groups and the next set of workshops. Prototypes of a mobile health (mHealth) solution for fall preventive exercise for older adults were developed in which the conceptualized strategies were integrated. To support coherence in reporting and evaluation, the developed techniques were mapped to the Behavior Change Technique Taxonomy v1 and the basic human psychosocial needs according to the Self-determination Theory.

Results

The results highlight different preferences of older adults for feedback on physical activity performance, as well as the importance of transparency regarding the identification of the sender of feedback. Preferences for content and wording of feedback varied greatly. Subsequently, the design process resulted in a virtual health coach with three different motivational profiles and tools for goal setting and self-monitoring. These behavior change strategies were integrated in the exercise application Safe Step v1. The conformity of the design concepts with the needs of Self-determination Theory and Behavior Change Technique Taxonomy v1 are presented.

Conclusion

The participatory design process exemplifies how older adults successfully contributed to the design of theory-based digital behavior change support, from idea to finished solution. Tailoring feedback with a transparent sender is important to support and not undermine motivation.
An alternative paradigm for assessing attitudes in virtual reality — Interpersonal distance paradigm: Taking weight stigma as an example
Authors: Gu Xiang , Chen Lihan , Wang Guoping , Li Sheng
Published: December 2022

Immersive virtual technology has been widely used to modulate sociocognitive processes, such as changing individuals’ implicit attitudes towards specific groups. As to measure the effect, the implicit association test (IAT) is the most used one. However, IAT itself is controversial for its construct validity and commonly requires participants to quit virtual environments (VEs) to complete. Here, we propose an alternative paradigm, the “interpersonal distance paradigm”, which measures attitudes using interpersonal distance and can be conducted in VEs. We conducted a user study measuring weight stigma to compare the effectiveness of the interpersonal distance paradigm with two classical paradigms: the questionnaire and IAT. Results revealed a floor effect in the questionnaire method and no significant correlation between the two classic paradigms. The measurement of interpersonal distance showed a weak positive correlation with the questionnaire score, but not with IAT score. In future research, the results of more measurement methods should be combined to obtain more accurate results to better evaluate this new paradigm’s validity. The accurate results can help quantify the effects of the programs aiming at reducing weight stigma.
Incorporating polar field data for improved solar flare prediction
Authors: Aktukmak Mehmet , Sun Zeyu , Bobra Monica , Gombosi Tamas , Manchester IV Ward B. , Chen Yang , Hero Alfred
Published: December 2022

In this paper, we consider incorporating data associated with the sun’s north and south polar field strengths to improve solar flare prediction performance using machine learning models. When used to supplement local data from active regions on the photospheric magnetic field of the sun, the polar field data provides global information to the predictor. While such global features have been previously proposed for predicting the next solar cycle’s intensity, in this paper we propose using them to help classify individual solar flares. We conduct experiments using HMI data employing four different machine learning algorithms that can exploit polar field information. Additionally, we propose a novel probabilistic mixture of experts model that can simply and effectively incorporate polar field data and provide on-par prediction performance with state-of-the-art solar flare prediction algorithms such as the Recurrent Neural Network (RNN). Our experimental results indicate the usefulness of the polar field data for solar flare prediction, which can improve Heidke Skill Score (HSS2) by as much as 10.1%1.
Interrogating solar flare loop models with IRIS observations 1: Overview of the models, and mass flows
Authors: Kerr Graham S.
Published: December 2022

Solar flares are transient yet dramatic events in the atmosphere of the Sun, during which a vast amount of magnetic energy is liberated. This energy is subsequently transported through the solar atmosphere or into the heliosphere, and together with coronal mass ejections flares comprise a fundamental component of space weather. Thus, understanding the physical processes at play in flares is vital. That understanding often requires the use of forward modelling in order to predict the hydrodynamic and radiative response of the solar atmosphere. Those predictions must then be critiqued by observations to show us where our models are missing ingredients. While flares are of course 3D phenomenon, simulating the flaring atmosphere including an accurate chromosphere with the required spatial scales in 3D is largely beyond current computational capabilities, and certainly performing parameter studies of energy transport mechanisms is not yet tractable in 3D. Therefore, field-aligned 1D loop models that can resolve the relevant scales have a crucial role to play in advancing our knowledge of flares. In recent years, driven in part by the spectacular observations from the Interface Region Imaging Spectrograph (IRIS), flare loop models have revealed many interesting features of flares. For this review I highlight some important results that illustrate the utility of attacking the problem of solar flares with a combination of high quality observations, and state-of-the-art flare loop models, demonstrating: 1) how models help to interpret flare observations from IRIS, 2) how those observations show us where we are missing physics from our models, and 3) how the ever increasing quality of solar observations drives model improvements. Here in Paper one of this two part review I provide an overview of modern flare loop models, and of electron-beam driven mass flows during solar flares.
Gut microbial dysbiosis correlates with stroke severity markers in aged rats
Authors: Hammond Tyler C. , Messmer Sarah , Frank Jacqueline A. , Lukins Doug , Colwell Rita , Lin Ai-Ling , Pennypacker Keith R.
Published: December 2022

Background

An imbalanced gut microbial community, or dysbiosis, has been shown to occur following stroke. It is possible that this dysbiosis negatively impacts stroke recovery and rehabilitation. Species level resolution measurements of the gut microbiome following stroke are needed to develop and test precision interventions such as probiotic or fecal microbiota transplant therapies that target the gut microbiome. Previous studies have used 16S rRNA amplicon sequencing in young male mice to obtain broad profiling of the gut microbiome at the genus level following stroke, but further investigations will be needed with whole genome shotgun sequencing in aged rats of both sexes to obtain species level resolution in a model which will better translate to the demographics of human stroke patients.

Methods

Thirty-nine aged male and female rats underwent middle cerebral artery occlusion. Fecal samples were collected before stroke and 3 days post stroke to measure gut microbiome. Machine learning was used to identify the top ranked bacteria which were changed following stroke. MRI imaging was used to obtain infarct and edema size and cerebral blood flow (CBF). ELISA was used to obtain inflammatory markers.

Results

Dysbiosis was demonstrated by an increase in pathogenic bacteria such as Butyricimonas virosa (15.52 fold change, p < 0.0001), Bacteroides vulgatus (7.36 fold change, p < 0.0001), and Escherichia coli (47.67 fold change, p < 0.0001). These bacteria were positively associated with infarct and edema size and with the inflammatory markers Ccl19, Ccl24, IL17a, IL3, and complement C5; they were negatively correlated with CBF. Conversely, beneficial bacteria such as Ruminococcus flavefaciens (0.14 fold change, p < 0.0001), Akkermansia muciniphila (0.78 fold change, p < 0.0001), and Lactobacillus murinus (0.40 fold change, p < 0.0001) were decreased following stroke and associated with all the previous parameters in the opposite direction of the pathogenic species. There were not significant microbiome differences between the sexes.

Conclusion

The species level resolution measurements found here can be used as a foundation to develop and test precision interventions targeting the gut microbiome following stroke. Probiotics that include Ruminococcus flavefaciens, Akkermansia muciniphila, and Lactobacillus murinus should be developed to target the deficit following stroke to measure the impact on stroke severity.
Technology Readiness Levels for vaccine and drug development in animal health: From discovery to life cycle management
Authors: Arnouts Sven , Brown Scott , de Arriba M. Luisa , Donabedian Michael , Charlier Johannes
Published: December 2022

Public research and innovation initiatives in animal health aim to deliver key knowledge, services and products that improve the control of animal infectious diseases and animal welfare to deliver on global challenges including public health threats, environmental concerns and food security. The Technology Readiness Level (TRL) is a popular innovation policy instrument to monitor the maturity of upcoming new technologies in publicly funded research projects. However, while general definition of the 9 levels on the TRL-scale enable uniform discussions of technical maturity across different types of technology, these definitions are very generic which hampers concrete interpretation and application. Here, we aligned innovation pipeline stages as used in the animal health industry for the development of new vaccines or drugs with the TRL scale, resulting in TRL for animal health (TRLAH). This more bespoke scale can help to rationally allocate funding for animal health research from basic to applied research, map innovation processes, monitor progress and develop realistic progress expectations across the time span of a research and innovation project. The TRLAH thus become an interesting instrument to enhance the translation of public research results into industrial and societal innovation and foster public-private partnerships in animal health.