bluuebunny/crossref_metadata_2025 huggingface dataset:
Chloroplast-localized GUN1 contributes to the acquisition of basal thermotolerance in Arabidopsis thaliana
Authors: Lasorella Cecilia , Fortunato Stefania , Dipierro Nunzio , Jeran Nicolaj , Tadini Luca , Vita Federico , Pesaresi Paolo , de Pinto Maria Concetta
Published: December 2022

Heat stress (HS) severely affects different cellular compartments operating in metabolic processes and represents a critical threat to plant growth and yield. Chloroplasts are crucial for heat stress response (HSR), signaling to the nucleus the environmental challenge and adjusting metabolic and biosynthetic functions accordingly. GENOMES UNCOUPLED 1 (GUN1), a chloroplast-localized protein, has been recognized as one of the main players of chloroplast retrograde signaling. Here, we investigate HSR in Arabidopsis wild-type and gun1 plantlets subjected to 2 hours of HS at 45°C. In wild-type plants, Reactive Oxygen Species (ROS) accumulate promptly after HS, contributing to transiently oxidize the cellular environment and acting as signaling molecules. After 3 hours of physiological recovery at growth temperature (22°C), the induction of enzymatic and non-enzymatic antioxidants prevents oxidative damage. On the other hand, gun1 mutants fail to induce the oxidative burst immediately after HS and accumulate ROS and oxidative damage after 3 hours of recovery at 22°C, thus resulting in enhanced sensitivity to HS. These data suggest that GUN1 is required to oxidize the cellular environment, participating in the acquisition of basal thermotolerance through the redox-dependent plastid-to-nucleus communication.
Production of active Exendin-4 in Nicotiana benthamiana and its application in treatment of type-2 diabetics
Authors: Akter Shammi , Afrin Shajia , Kim Jaeyoon , Kang Joohyun , Razzak Md Abdur , Berggren Per-Olof , Hwang Inhwan
Published: December 2022

GLP-1 (Glucagon-like peptide-1) is a peptide that stimulates insulin secretion from the β-cell for glycemic control of the plasma blood glucose level. Its mimetic exenatide (synthetic Exendin-4) with a longer half-life of approximately 3.3–4 h is widely used in clinical application to treat diabetes. Currently, exenatide is chemically synthesized. In this study, we report that the GLP-1 analogue recombinant Exendin-4 (Exdn-4) can be produced at a high level in Nicotiana benthamiana, with an estimated yield of 50.0 µg/g fresh biomass. For high-level expression, we generated a recombinant gene, B:GB1:ddCBD1m:8xHis : Exendin-4 (BGC : Exdn-4), for the production of Exendin-4 using various domains such as the BiP signal peptide, the GB1 domain (B1 domain of streptococcal G protein), a double cellulose binding domain 1 (CBD1), and 8 His residues (8xHis) to the N-terminus of Exendin-4. GB1 was used to increase the expression, whereas double CBD1 and 8xHis were included as affinity tags for easy purification using MCC beads and Ni2+-NTA resin, respectively. BGC : Exdn-4 was purified by single-step purification to near homogeneity using both Ni2+-NTA resin and microcrystalline cellulose (MCC) beads. Moreover, Exdn-4 without any extra residues was produced from BGC : Exdn-4 bound onto MCC beads by treating with enterokinase. Plant-produced Exdn-4 (Exendin-4) was as effective as chemically synthesized Exendin-4 in glucose-induced insulin secretion (GIIS) from mouse MIN6m9 cells a pancreatic beta cell line.
Effect and mechanism of the improvement of coastal silt soil by application of organic fertilizer and gravel combined with Sesbania cannabina cultivation
Authors: An Xiaochi , Sun Menglin , Ren Kaiyan , Xu Min , Wang Zaifeng , Li Ying , Liu Hailong , Lian Bin
Published: December 2022

Jiangsu Province of China has a large area of coastal silt soil (CSS) with poor permeability, high salinity, and poor nutrients, which brings great difficulties to the development and utilization of coastal zones, so that needs to be improved as a matter of urgency. In this study, river-sand, serpentine, and organic fertilizer were used as additives in CSS, and Sesbania cannabina, a salt-tolerant cash crop, was planted in these differently treated soils. Through high-throughput sequencing, analysis of soil physico-chemical properties, and detection of plant growth status, the rhizosphere bacterial diversity of S. cannabina growing in CSS under different treatments and their environmental impact factors were studied, while exploring the effect and mechanism of organic fertilizer combined with gravel as a CSS modifier. The results implied that single application of organic fertilizer could significantly increase the fertility levels of total nitrogen (TN), total organic carbon (TOC) and Avail. P in CSS; then, the application of organic fertilizer with river-sand significantly reduced salt content and alkalinity of soil; meanwhile, in the treatment of single application of organic fertilizer and application of organic fertilizer combined with river-sand, the rhizosphere of S. cannabina enriched the bacterial communities of organic matter degradation and utilization to varying degrees. The soil moisture content and indicators related to saline-alkali soil (including total salt, electrical conductivity (EC), exchangeable sodium percentage (ESP), Avail. Na and Avail. K, etc.) were further reduced significantly by the application of organic fertilizer combined with river-sand and serpentine. The method has greatly improved the growth conditions of S. cannabina and promoted the positive development of its rhizosphere bacterial community. Among them, in the treatment of organic fertilizer combined with river-sand and serpentine, a variety of plant growth-promoting rhizobacteria (PGPR, such as Sphingomonas, Ensifer, and Rhodobacter) and nitrogen-cycle-related bacteria (such as nitrate-reduction-related bacteria, nitrogen-fixing bacteria like Ensifer, and purple non-sulfur photosynthetic bacteria like Rhodobacter) were enriched in the rhizosphere of S. cannabina; moreover, the mutual association and robustness of bacterial co-occurrence networks have been significantly enhanced. The results provide a theoretical basis and reference model for the improvement of coastal saline-alkali silt soil.
Comparative physiological and transcriptomics analysis revealed crucial mechanisms of silicon-mediated tolerance to iron deficiency in tomato
Authors: Shi Yu , Guo Shuxun , Zhao Xin , Xu Mengzhu , Xu Jin , Xing Guoming , Zhang Yi , Ahammed Golam Jalal
Published: December 2022

Iron (Fe) deficiency is a common abiotic stress in plants grown in alkaline soil that causes leaf chlorosis and affects root development due to low plant-available Fe concentration. Silicon (Si) is a beneficial element for plant growth and can also improve plant tolerance to abiotic stress. However, the effect of Si and regulatory mechanisms on tomato plant growth under Fe deficiency remain largely unclear. Here, we examined the effect of Si application on the photosynthetic capacity, antioxidant defense, sugar metabolism, and organic acid contents under Fe deficiency in tomato plants. The results showed that Si application promoted plant growth by increasing photosynthetic capacity, strengthening antioxidant defense, and reprogramming sugar metabolism. Transcriptomics analysis (RNA-seq) showed that Si application under Fe deficiency up-regulated the expression of genes related to antioxidant defense, carbohydrate metabolism and organic acid synthesis. In addition, Si application under Fe deficiency increased Fe distribution to leaves and roots. Combined with physiological assessment and molecular analysis, these findings suggest that Si application can effectively increase plant tolerance to low Fe stress and thus can be implicated in agronomic management of Fe deficiency for sustainable crop production. Moreover, these findings provide important information for further exploring the genes and underlying regulatory mechanisms of Si-mediated low Fe stress tolerance in crop plants.
Requests and apologies in two languages among bilingual speakers: A comparison of heritage English speakers and English- and Hebrew-dominant bilinguals
Authors: Bar On Sagit , Meir Natalia
Published: December 2022

Introduction

Linguistic research over the last two decades has uncovered a significant number of properties that identify heritage language (HL) speakers as a particular phenomenon within bilingualism. However, despite the rapid development of HL research, the sphere of HL speech act pragmatics is still in its infancy.

Methodology

The current study sought to cover part of this gap by investigating both languages of HL adult speakers for whom English is their HL and Hebrew is their dominant societal language (SL;n= 20, hereafter HS) in comparison with two other groups: Hebrew-dominant speakers who were born to Hebrew-speaking families and raised in Israel, and thus English is the language of their schooling (n= 20, hereafter HEB-D), and English-dominant speakers who were born to English-speaking families and immigrated to Israel from an English-speaking country after the age of 18, and thus Hebrew is their L2 (n= 20, hereafter ENG-D). The discourse-pragmatic tasks in English and in Hebrew consisted of the same 36 scenarios eliciting requests and apologies in each language. Each request was followed by an apology that is related.

Results

The results indicated that Hebrew-dominant speakers and English-dominant speakers, i.e., HEB-D and ENG-D, had different strategies for the realization of requests and apologies which they systematically transferred from their dominant language into their weaker one, confirming the cross-cultural and cross-linguistic differences between request and apology realizations in English and in Hebrew. However, the picture was more complex for the HL speakers in their HL-English and SL-Hebrew as in some cases their strategies paired up with the ENG-D in English, and with the HEB-D in Hebrew, while in other cases they developed a unique and hybrid linguistic style reflecting the strategies of both languages.

Discussion

The investigation of both languages of HL speakers enabled us to compare features of the two linguistic systems and make conclusions about their nature.
A systematic review of the research on telework and organizational economic performance indicators
Authors: Mutiganda Jean Claude , Wiitavaara Birgitta , Heiden Marina , Svensson Sven , Fagerström Arne , Bergström Gunnar , Aboagye Emmanuel
Published: December 2022

Introduction

A systematic review is conducted in the study to investigate the relationship between telework and organizational economic performance indicators such as self-reported employee performance, organizational performance, actual employee turnover rates, or intentions.

Methods

The databases Scopus, Business Source Premier, and Web of Science were used to conduct a literature search. Original articles published from 2000 and up to May 2021 were selected. Studies were screened for inclusion independently by review pairs and data were extracted. The Mixed Methods Appraisal Tool (MMAT) was used to evaluate the quality of the studies included.

Results

Forty-three studies were included with some addressing multiple outcomes. Self-reported performance was higher for teleworking employees compared to those working in the ordinary workplace. The extent of the change in performance was dependent on individual characteristics and the extent of the teleworking practice in the organization. Telework was also associated with increased organizational performance, particularly in homogenous samples with unique work tasks. When telework is voluntary, it appears that both actual employee turnover rates and intentions to leave the organization are lower.

Discussion

Further research with high-quality prospective designs is necessary to properly understand the contribution of telework to organizational economic performance indicators.
Examining the underlying latent structure of the sports emotion questionnaire: Insights from the bifactor multidimensional item response theory
Authors: Hagan John Elvis , Quansah Frank , Ankomah Francis , Agormedah Edmond Kwesi , Srem-Sai Medina , Schack Thomas
Published: December 2022

Background

Despite the widespread use of the sports emotion questionnaire (SEQ) in several studies, it is surprising that only a few have explicitly tested the validity and utility of the instrument in non-western populations. Besides, the issue of dimensionality and the latent structure of the instrument remain inconclusive given that several authors have revealed different factor structures across diverse populations. The central concern is whether the items on the various dimensions, proposed for the original SEQ, offer adequate information to their respective expected subscale or otherwise. This study assessed the underlying latent structure of the SEQ using confirmatory and bifactor multidimensional item response (MIRT) models.

Methods

Through a well-designed validation study 300 athletes from three West African countries, participating in the 2018 West African University Games were surveyed to respond to the SEQ. The data were analyzed using first, a 5-factor confirmatory factor analysis (CFA) via the MIRT model and second, a bifactor MIRT analysis.

Results

The results revealed that items on the SEQ were fairly good in measuring the construct under the respective domains of the instrument. However, the outcome of the bifactor model showed that the majority of the items on the SEQ explained common variance in relation to the general factor other than the specific domains (5-dimensions).

Conclusion

Findings of the bifactor model question whether the sub-dimensions of the SEQ are needed since most of the items on the SEQ explained larger variances in the general factor than any of the five domains. It is concluded that instruments like SEQ should be scored for a general factor and not as sub-dimensions. Further investigations are encouraged by scholars within the area to probe the dimensionality of the SEQ.
Understanding the role of grievance and fixation in lone actor violence
Authors: Brooks Nathan , Barry-Walsh Justin
Published: December 2022

In pursuit of public discourse, there is a risk of a simple polarity in thinking, meaning acts of public/mass violence, or those where there is a risk of public violence are categorized as terrorist acts or not. The reliance on categorization, and the pursuit of assigning ideology, diminishes the complexity of factors contributing to these forms of offending. This approach misses a critical opportunity to understand the pathways to violence and reduces the significance of comorbid or co-occurring factors that give rise to the violence. Lone Actor Grievance Fueled Violence (LAGFV) is a recently utilized term based on mounting evidence that those who seek to perpetrate acts of lone actor violence, whether this be those where a terrorist motivation can be assigned, a school attacks, workplace attack, or an attack in a public place, are commonly fueled by grievance and fixation. LAGFV at this juncture is a blurry construct without definitive rules and boundaries, and instead provides a guiding conceptualization of a diverse group of offenders who commit targeted violence towards others. The current review contends that LAGFV emerges through the perceived thwarting of psychological needs and the central task for clinicians and other professional services lies in understanding the unique pathways and contributing factors that give rise to violence for each specific individual/case. The review contends that is not fit to determine whether an act is of ideological significance, or constituting terrorism, without understanding the psychosocial and circumstantial factors contributing to the violence.
Isolation and worry in relation to gambling and onset of gambling among psychiatry patients during the COVID-19 pandemic: A mediation study
Authors: Forsström David , Lindner Philip , Månsson Kristoffer N. T. , Ojala Olivia , Hedman-Lagerlöf Maria , El Alaoui Samir , Rozental Alexander , Lundin Johan , Jangard Simon , Shahnavaz Shervin , Sörman Karolina , Lundgren Tobias , Jayaram-Lindström Nitya
Published: December 2022

When the COVID-19 pandemic started spreading globally, there was a fear that addictive behaviors would increase due to changes in everyday life caused by restrictions due to COVID-19. Studies were carried out to explore if this was true for gambling, typically revealing no overall increase in gambling behavior, although individuals who had previous experience with gambling problems were more likely to increase gambling during the pandemic. However, these studies only included individuals with previous gambling problems. It remains unknown whether other vulnerable groups, such as individuals with common mental disorders increased their gambling. This study aimed to explore the level of gambling problems among individuals with a history of mental disorders, namely, (i) pre-pandemic gamblers and (ii) pandemic-onset gamblers. Furthermore, we explored if worry and isolation mediate gambling and problem gambling. The data were analyzed using descriptive statistics and a structural equation model to investigate mediation. The results showed a high prevalence of at-risk and problem gambling in both groups. The pre-pandemic gamblers had a high level of at-risk and problem gambling. Furthermore, the individuals that started to gamble during the pandemic had an even higher degree of at-risk and problem gambling. The mediation showed that the onset of gambling was linked with the worry of COVID-infection and that worry predicted the level of gambling problems. This study highlights that vulnerability factors, isolation, and worry can be triggers for individuals with common mental disorders to engage in gambling as well as the importance of screening this population for gambling problems.
Sharing intention of electronic health records in online health communities: Patients’ behavioral decisions in the context of privacy protection measures
Authors: Guo Shanshan , Dang Yuanyuan , She Bofei , Li Yugang
Published: December 2022

Online health communities (OHCs) have become more important to people’s daily lives on the foundation of the voluntary sharing of electronic health records (EHRs). However, no in-depth investigation has been conducted concerning the influence of the perceptions of privacy protection among patients on their willingness to share EHRs. To fill the knowledge gap, by combining and modifying the theory of planned behavior (TPB) and the health belief model in the context of the privacy protection models implemented by OHCs, an empirical research method using a questionnaire approach is conducted to validate the hypotheses. The results indicate that the more positive a patient’s attitude toward medical information sharing behavior is, the higher that patient’s level of perceived behavioral control; in addition, the greater the social rewards obtained from this process, the more willing the patient is to share his or her EHRs after privacy protection measures are implemented by OHCs. Meanwhile, the effects of past positive experiences and disease severity have also been tested. The findings of this study can be used to promote patients’ full participation in OHCs from a privacy perspective and offer theoretical and practical suggestions to promote the development of OHCs.
The predictive effects of foreign language enjoyment, anxiety, and boredom on general and domain-specific English achievement in online English classrooms
Authors: Wang Xinpeng , Li Yi
Published: December 2022

This non-experimental study employed three questionnaires adopted from and validated by prior studies. To carry out the study, an electronic survey created through Wenjuanxing, a computer program for conducting an online survey in China, was employed and convenience sampling technique was used. Guided by the control-value theory of educational psychology, as well as the broaden-and-build theory and the well-being theory of Positive Psychology, this questionnaire study investigated 880 non-English major freshmen’ foreign language enjoyment (FLE), foreign language class anxiety (FLCA), and foreign language boredom (FLB) in online English courses, as well as their correlations. Also measured were their joint predictive effects on the general and domain-specific learning outcomes of online English classrooms (reading-to-writing group and speaking group). With statistical analysis carried out by SPSS 26.0 and AMOS 23.0, the results showed that: (1) learners had relatively high levels of FLE and FLCA, but a medium level of FLB; (2) a small negative correlation was found between students’ FLE and FLCA, a medium to high negative correlation between FLE and FLB, and a small to medium positive correlation between FLCA and FLB; FLE has a significant positive correlation with learners’ actual performance and self-perceived performance, while FLCA and FLB have a significant negative correlation with both; and (3) After entering the same regression model, all three emotions have a significant predictive effect on learners’ self-perceived performance while only FLE and FLCA had a significant predictive effect on their actual performance in the online context. Domain-specifically, the reading-and-writing group demonstrated similar trends while there were no significant correlations between emotions and actual performance in the speaking group. The findings can provide pedagogical implications for online foreign language teaching and theoretical contribution to foreign language emotion research.
Validation of the revised Compound PsyCap Scale (CPC-12R) and its measurement invariance across the US and Germany
Authors: Lorenz Timo , Hagitte Leonie , Prasath Priscilla Rose
Published: December 2022

The purpose of this study was to validate the English and German versions of the revised Compound PsyCap Scale (CPC-12R) in a US-sample (n = 385) and a sample from Germany (n = 202). The 12-item CPC-12R exhibited the anticipated factorial structure with an excellent model fit in both samples and associations to other constructs concurred with previous findings. A specific aim was to examine the measurement invariance of the CPC-12R across the two countries. Scalar measurement invariance was established. Overall, these findings suggest that the CPC-12R is an economic, valid, reliable, and applicable tool in the US and Germany to assess psychological capital (PsyCap). The scalar measurement invariance highlights the importance of taking cultural background and possible pitfalls for cross-cultural research into account for future PsyCap research.
“Oh no, the forest is burning!” cultural differences in the complex problem-solving process only under high uncertainty
Authors: Smith Willow , Hermida Joanna , Güss Christoph Dominik
Published: December 2022

What do people in different cultures do when they encounter complex problems? Whereas some cross-cultural research exists about complex problem-solving predictors and performance, the process has rarely been studied. We presented participants from Brazil, Germany, the Philippines, and the United States with two computer-simulated dynamic problems, one where quick action was required – the WinFire simulation – and one where cautious action was required – the Coldstore simulation. Participants were asked to think aloud in their native language while working on these two tasks. These think-aloud protocols were digitally recorded, transcribed, and coded by coders in each country in terms of the steps involved in complex problem solving and dynamic decision making. For the current study, we developed a program to calculate transition frequencies from one problem solving step to another and analyzed only those protocols with more than 15 transitions. For WinFire, these were 256 think-aloud protocols from the four countries with a total of 12,542 statement, for Coldstore, these were 247 participants with a total of 15,237 statements. Based on previous, limited cross-cultural research, we predicted that after identifying a problem, Brazilians would make emotional and self-related statements, Germans would engage primarily in planning, Filipinos would gather additional information, and Americans would primarily state solutions. Results of latent transition analysis partially support these hypotheses, but only in the highly uncertain Coldstore situation and not in the more transparent WinFire situation. Transition frequencies were then also analyzed regarding community clusters using the spinglass algorithm in R, igraph. Results highlight the importance of process analyses in different tasks and show how cultural background guides people’s decisions under uncertainty.
Measuring depression severity based on facial expression and body movement using deep convolutional neural network
Authors: Liu Dongdong , Liu Bowen , Lin Tao , Liu Guangya , Yang Guoyu , Qi Dezhen , Qiu Ye , Lu Yuer , Yuan Qinmei , Shuai Stella C. , Li Xiang , Liu Ou , Tang Xiangdong , Shuai Jianwei , Cao Yuping , Lin Hai
Published: December 2022

Introduction

Real-time evaluations of the severity of depressive symptoms are of great significance for the diagnosis and treatment of patients with major depressive disorder (MDD). In clinical practice, the evaluation approaches are mainly based on psychological scales and doctor-patient interviews, which are time-consuming and labor-intensive. Also, the accuracy of results mainly depends on the subjective judgment of the clinician. With the development of artificial intelligence (AI) technology, more and more machine learning methods are used to diagnose depression by appearance characteristics. Most of the previous research focused on the study of single-modal data; however, in recent years, many studies have shown that multi-modal data has better prediction performance than single-modal data. This study aimed to develop a measurement of depression severity from expression and action features and to assess its validity among the patients with MDD.

Methods

We proposed a multi-modal deep convolutional neural network (CNN) to evaluate the severity of depressive symptoms in real-time, which was based on the detection of patients’ facial expression and body movement from videos captured by ordinary cameras. We established behavioral depression degree (BDD) metrics, which combines expression entropy and action entropy to measure the depression severity of MDD patients.

Results

We found that the information extracted from different modes, when integrated in appropriate proportions, can significantly improve the accuracy of the evaluation, which has not been reported in previous studies. This method presented an over 74% Pearson similarity between BDD and self-rating depression scale (SDS), self-rating anxiety scale (SAS), and Hamilton depression scale (HAMD). In addition, we tracked and evaluated the changes of BDD in patients at different stages of a course of treatment and the results obtained were in agreement with the evaluation from the scales.

Discussion

The BDD can effectively measure the current state of patients’ depression and its changing trend according to the patient’s expression and action features. Our model may provide an automatic auxiliary tool for the diagnosis and treatment of MDD.
Associations of depressive and anxiety symptoms with non-suicidal self-injury and suicidal attempt among Chinese adolescents: The mediation role of sleep quality
Authors: Jiao Ting , Guo Shuangshuang , Zhang Yi , Li Yanqi , Xie Xinyi , Ma Ying , Chen Ruoling , Yu Yizhen , Tang Jie
Published: December 2022

Background

Associations of depressive and anxiety symptoms with non-suicidal self-injury (NSSI) and suicide attempt (SA) are not well understood. We aimed to examine these associations among Chinese adolescents, and whether any potential association is mediated through sleep quality.

Methods

We conducted a cross-sectional study among 1,771 (994 boys [56.1%] and 777 girls [43.9%], mean [SD] age was 12.9 [0.6] years) adolescents who participated in the baseline survey of the Chinese Adolescent Health Growth Cohort (CAHGC) study. Depressive symptoms, anxiety symptoms, NSSI, SA and sleep quality were measured by validated questionnaire. Logistic regression models were employed to estimate the associations of depression and anxiety with NSSI and SA. Mediation analyses were conducted to explore the mediate effect of sleep quality.

Results

The 12-month prevalence of NSSI and SA was 17.1 and 8.3%, respectively. Depressive and anxiety symptoms were significantly associated with NSSI (the adjusted odds ratio [aOR] was 1.89 [95% CI 1.34–2.65] for depressive symptoms and 2.84 [95% CI 2.05–3.94] for anxiety symptoms) and SA (the aOR was 3.20 [95% CI 2.03–5.05] for depressive symptoms and 2.98 [95% CI 1.84–4.84] for anxiety symptoms). No significant gender differences were found in the associations. The mediation proportion of sleep quality on the association of depressive and anxiety symptoms with NSSI, as well as depressive and anxiety symptoms with SA were 21.1, 13.9, 13.6, and 14.7, respectively.

Conclusion

Independent associations of depressive and anxiety symptoms with NSSI and SA were observed in Chinese adolescents, and there were no significant gender differences in the associations. Moreover, these associations were partially mediated through sleep quality. Targeted interventions for adolescents’ NSSI and SA should focus on those who have depressive and anxiety symptoms, and poor sleep quality.
Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT study protocol
Authors: Kishimoto Taishiro , Kinoshita Shotaro , Kikuchi Toshiaki , Bun Shogyoku , Kitazawa Momoko , Horigome Toshiro , Tazawa Yuki , Takamiya Akihiro , Hirano Jinichi , Mimura Masaru , Liang Kuo-ching , Koga Norihiro , Ochiai Yasushi , Ito Hiromi , Miyamae Yumiko , Tsujimoto Yuiko , Sakuma Kei , Kida Hisashi , Miura Gentaro , Kawade Yuko , Goto Akiko , Yoshino Fumihiro
Published: December 2022

Introduction

Few biomarkers can be used clinically to diagnose and assess the severity of depression. However, a decrease in activity and sleep efficiency can be observed in depressed patients, and recent technological developments have made it possible to measure these changes. In addition, physiological changes, such as heart rate variability, can be used to distinguish depressed patients from normal persons; these parameters can be used to improve diagnostic accuracy. The proposed research will explore and construct machine learning models capable of detecting depressive episodes and assessing their severity using data collected from wristband-type wearable devices.

Methods and analysis

Patients with depressive symptoms and healthy subjects will wear a wristband-type wearable device for 7 days; data on triaxial acceleration, pulse rate, skin temperature, and ultraviolet light will be collected. On the seventh day of wearing, the severity of depressive episodes will be assessed using Structured Clinical Interview for DSM-5 (SCID-5), Hamilton Depression Rating Scale (HAMD), and other scales. Data for up to five 7-day periods of device wearing will be collected from each subject. Using wearable device data associated with clinical symptoms as supervisory data, we will explore and build a machine learning model capable of identifying the presence or absence of depressive episodes and predicting the HAMD scores for an unknown data set.

Discussion

Our machine learning model could improve the clinical diagnosis and management of depression through the use of a wearable medical device.

Clinical trial registration

[https://jrct.niph.go.jp/latest-detail/jRCT1031210478], identifier [jRCT1031210478].
Proton magnetic resonance spectroscopy (MRS) in individuals with internet gaming
Authors: McGlade Erin C. , Han Doug Hyun , Kim Sun Mi , Shi Xianfeng , Cline Kirsten , Yurgelun-Todd Deborah , Renshaw Perry F.
Published: December 2022

Background

Various comorbid psychiatric diagnoses, including attention deficit hyperactivity disorder (ADHD), have been reported in individuals with internet gaming disorder (IGD). Prior research has shown alterations in brain metabolites, including N-acetylaspartate (NAA), and combined glutamate and glutamine in patients with ADHD that were similar to those observed in patients with IGD. We hypothesized that the decreased NAA levels in the IGD group would be associated with a history of ADHD.

Methods

Forty adults participated in this study. Participants were classified as having a high risk for IGD if they had a total score higher than 21 on the IGD Scale-short form. Proton magnetic resonance spectroscopy (1H-MRS) and high-resolution structural magnetic resonance imaging (MRI) data were acquired using a 3 Tesla Siemens Prisma scanner system.

Results

Levels of NAA within the right prefrontal cortex were lower in the IGD group than those observed in the control group. In a multiple linear regression analysis, internet addiction test scores and history of ADHD were shown to predict increased game play. In addition, history of ADHD predicted lower levels of NAA within the right prefrontal cortex.

Conclusion

The preliminary results of current study suggest a mediating effect of ADHD on the severity of internet game play as well as the levels of NAA within the dorsolateral prefrontal cortex (DLPFC). The inclusion of ADHD in IGD research is important and deserving of further consideration.
A comparison of the antianhedonic effects of repeated ketamine infusions in melancholic and non-melancholic depression
Authors: Zheng Wei , Yang Xin-Hu , Gu Li-Mei , Tan Jian-Qiang , Zhou Yan-Ling , Wang Cheng-Yu , Ning Yu-Ping
Published: December 2022

Objectives

Melancholic depression may respond differently to certain treatments. The aim of this study was to compare the antianhedonic effects of six intravenous injections of 0.5 mg/kg ketamine in patients with melancholic and non-melancholic depression, which remain largely unknown.

Methods

Individuals experiencing melancholic (n = 30) and non-melancholic (n = 105) depression were recruited and assessed for anhedonic symptoms using the Montgomery–Åsberg Depression Rating Scale (MADRS). The presence of melancholic depression was measured with the depression scale items at baseline based on DSM-5 criteria.

Results

A total of 30 (22.2%) patients with depression fulfilled the DSM-5 criteria for melancholic depression. Patients with melancholic depression had a non-significant lower antianhedonic response (43.3 vs. 50.5%, t = 0.5, p > 0.05) and remission (20.0 vs. 21.0%, t = 0.01, p > 0.05) to repeated-dose ketamine infusions than those with non-melancholic depression. The melancholic group had significantly lower MADRS anhedonia subscale scores than the non-melancholic group at day 26 (p < 0.05).

Conclusion

After six ketamine infusions, the improvement of anhedonic symptoms was found in both patients with melancholic and non-melancholic depression, and the efficacy was similar in both groups.
Increasing access to mental health supports for healthcare workers during the COVID-19 pandemic and beyond through a novel coaching program
Authors: Arnold Kimberly T. , Becker-Haimes Emily M. , Wislocki Katherine , Bellini Lisa , Livesey Cecilia , Kugler Kelley , Weiss Michal , Wolk Courtney Benjamin
Published: December 2022

The COVID-19 pandemic led to heightened anxiety, distress, and burnout among healthcare workers and faculty in academic medicine. Penn Medicine launched Coping First Aid (CFA) in March 2020 in response to the pandemic. Informed by Psychological First Aid principles and therapeutic micro skills, CFA was designed as a tele-mental healthcare service for health system employees and their families delivered by trained lay volunteer coaches under the supervision of licensed mental health clinicians. We present an overview of the model, feasibility and utilization data, and preliminary implementation and effectiveness outcomes based on cross sectional coach (n = 22) and client (n = 57) self-report surveys with a subset of program users in the first year. A total of 44 individuals completed training and were certified to coach. Over the first 24 months of the program, 513 sessions occurred with 273 clients (119 sessions were no-shows or canceled). Follow-up appointments were recommended in 52.6% (n = 270) of sessions and 21.2% (n = 109) of clients were referred for professional mental health care. Client survey respondents reported CFA was helpful; 60% were very or extremely satisfied, and 74% indicated they would recommend the program. Our preliminary findings suggest that CFA was feasible to implement and most clients found the service beneficial. CFA provides a model for rapidly developing and scaling mental health supports during and beyond the pandemic.
The changing relationship between health risk behaviors and depression among birth cohorts of Canadians 65+, 1994–2014
Authors: Yang Guang , D’Arcy Carl
Published: December 2022

Background and objective

The older adult residents of Canada form an increasingly larger proportion of the population and are becoming better educated and have more income. Depression is a common mental disorder, particularly among seniors. Several health risk behaviors–physical inactivity, tobacco use, and alcohol consumption–are linked to mental health problems. This study examines whether these health risk behaviors and their association with depression among Canadians 65+ born in eight cohorts between 1910–1914 and 1945–1949, have changed.

Methods

Pooled data drawn from 11 nationally representative health surveys conducted by Statistics Canada between 1994 and 2014 are analyzed–88,675 survey participants met inclusion criteria. Depression was assessed by the Composite International Diagnostic Interview–Short Form. Health risk behaviors examined were physical activity/inactivity, smoking, and alcohol use. A Cochran Armitage trend test for categorical outcomes and a log-binomial modeling for binary outcomes were used to estimate the risk ratios across cohorts.

Results

The proportions of Canadians 65+ who are physically active, regular drinkers, and regular smokers have increased; however, depression prevalence fluctuated non-significantly. Depression increased among all health risk behaviors, particularly in recent birth cohorts. Depression among physically inactive seniors, current smokers, and non-drinkers was significantly higher than among active, non-smokers, and regular drinkers (all P < 0.05). Physical inactivity and smoking-attributable depression risk showed an increasing linear trend across birth cohorts (RR = 1.67, P < 0.001; RR = 1.79, P < 0.001). For seniors born between 1915 and 1944, regular drinking was associated with a significant decrease in depression (all P < 0.001), but the protective effects of regular drinking became non-existent in the most recent 1945–1949 birth cohort (RR = 1.09, P < 0.05, after adjusting for covariates).

Conclusion

Inactivity and smoking were consistently associated with a significantly increased risk of depression among Canadian residents 65+, with smoking becoming more firmly connected to depression risk in more recent birth cohorts. In contrast, moderate alcohol use was associated with a decreased risk of depression, but that protective effect ceased in most recent birth cohort. Identifying the changing relationships between health risk behaviors and depression is meaningful for developing prevention strategies for depression and other emotional and mental health problems.
Cerebellar gray matter volume changes in patients with schizophrenia: A voxel-based meta-analysis
Authors: Li Xing , Liu Naici , Yang Chengmin , Zhang Wenjing , Lui Su
Published: December 2022

Background

In schizophrenia, the structural changes in the cerebellum are associated with patients’ cognition and motor deficits. However, the findings are inconsistent owing to the heterogeneity in sample size, magnetic resonance imaging (MRI) scanners, and other factors among them. In this study, we conducted a meta-analysis to characterize the anatomical changes in cerebellar subfields in patients with schizophrenia.

Methods

Systematic research was conducted to identify studies that compare the gray matter volume (GMV) differences in the cerebellum between patients with schizophrenia and healthy controls with a voxel-based morphometry (VBM) method. A coordinate-based meta-analysis was adopted based on seed-based d mapping (SDM) software. An exploratory meta-regression analysis was conducted to associate clinical and demographic features with cerebellar changes.

Results

Of note, 25 studies comprising 996 patients with schizophrenia and 1,109 healthy controls were included in the present meta-analysis. In patients with schizophrenia, decreased GMVs were demonstrated in the left Crus II, right lobule VI, and right lobule VIII, while no increased GMV was identified. In the meta-regression analysis, the mean age and illness duration were negatively associated with the GMV in the left Crus II in patients with schizophrenia.

Conclusion

The most significant structural changes in the cerebellum are mainly located in the posterior cerebellar hemisphere in patients with schizophrenia. The decreased GMVs of these regions might partly explain the cognitive deficits and motor symptoms in patients with schizophrenia.
Protein-to-carbohydrate ratio is informative of diet quality and associates with all-cause mortality: Findings from the National Health and Nutrition Examination Survey (2007–2014)
Authors: Wabo Therese M. C. , Wang Yifeng , Nyamao Rose M. , Wang Wenjie , Zhu Shankuan
Published: December 2022

Background

Dietary protein and carbohydrate intake and health outcomes have received extensive attention in recent years. However, the nutritional context in which these associations occur is less studied.

Objectives

We aimed to examine the dietary context associating protein-to-carbohydrate ratio and all-cause mortality in US adults.

Methods

Data from 17,814 adults enrolled in the 2007–2014 NHANES was analyzed. Information on mortality was obtained from the US mortality registry updated in December 2015. Diet quality was assessed using the Healthy Eating Index (HEI) and Total Nutrients Index (TNI). ANCOVA was used to test the mean differences in HEI and TNI scores across %E P:C quintiles. Linear regression examined the association of HEI and TNI with %E P:C. Cox proportional hazards regression evaluated the association between %E P:C and all-cause mortality. A restricted cubic spline examined the non-linear relationship between %E P:C and death.

Results

Low %E P:C was associated with lower HEI and TNI scores while higher %E P:C was associated with healthier HEI and TNI scores. HEI and TNI were positively associated with %E P:C (β = 0.22, 95% CI: 0.19–0.25, and β = 0.16, 95% CI: 0.14–0.18), respectively. Low %E P:C was associated with an increased risk of death from all-cause. The higher HRs (95% CIs) of all-cause mortality were 1.97(1.46–2.65), and 7.35 (2.57–21.03) in the second quintile for the age-sex-ethnicity model, and the fully adjusted model, respectively. There was a significant reverse U-shape relationship between %E P:C and all-cause mortality with P, non-linearity < 0.001.

Conclusion

This study indicates that a low %E P:C that gives emphasis to unhealthy foods increases the risk of death. Hence, it would be useful to consider the complete diet associated with protein intake when making dietary recommendations for populations.
Analyzing the impact of psychological capital and work pressure on employee job engagement and safety behavior
Authors: Saleem Muhammad Shoaib , Isha Ahmad Shahrul Nizam Bin , Benson Chizubem , Awan Maheen Iqbal , Naji Gehad Mohammed Ahmed , Yusop Yuzana Binti
Published: December 2022

Introduction

Buildings and infrastructure are the primary focus of the construction industry, which also includes related activities such as design, planning, demolition, renovation, maintenance, and repair. Safety performance is crucial to the industry's ability to work effectively in spite of hazardous conditions on the job site during any given project. Improving construction workers' safety performance in Malaysia requires an in-depth examination of the interplay between workers' psychological capital, work pressure, employee engagement, and safety participation.

Methods

Administrative and field workers from different divisions across Malaysia's six regions were randomly sampled to collect data for this study. The workers were given a total of 500 questionnaires, of which 345 were returned to the team of researchers. Based on the data analysis, there is an effective interaction between the factors tested toward safety performance.

Results

According to findings, psychological capital positively and significantly affected workers' work engagement. Also, work engagement greatly impacted both workers' safety performance outcomes. Also, as expected, worker pressure significantly and negatively affected workers' safety performance.

Discussion

Insights gained from this research have helped us better organize work and involve employees in safety activities/policies to boost workplace safety performance. The study also suggested that firms should reduce their employees' workloads because doing so would not lower their Psychological Capital but would instead fortify them to better carry out their duties in a risk-free manner.
The relationship between teacher professional identity and burnout amid the pandemic: A moderated mediation model
Authors: Lin Yishan , Ameyaw Moses A. , Zhang Qinhan , Sun Binghai , Li Weijian
Published: December 2022

Background

Teacher burnout is affected by personal and social factors. COVID-19 has greatly impacted teachers' physical and mental health, which could aggravate teacher burnout.

Purpose

Based on the JD-R model, this study aims to investigate the relationship between teacher professional identity (TPI) and job burnout during the COVID-19 pandemic, and examine the moderating roles of perceived organizational support (POS) and psychological resilience (PR) in these relationships among primary and secondary school teachers in China.

Methods

A total of 3,147 primary and secondary school teachers participated in this study.

Findings

Work engagement played a mediating role in the relationship between professional identity and burnout; when the POS and PR scores were high, the predictive coefficient of TPI on burnout was the largest.

Originality

This study tested the mechanism underlying the relationship between TPI and burnout, and explored the protective factors of burnout.

Implications

This study supports the applicability of the JD-R model during COVID-19 and provides ideas for teachers to reduce burnout.