bluuebunny/crossref_metadata_2025 huggingface dataset:
Emerging Antibiotic Resistance Patterns in a Neonatal Intensive Care Unit in Pune, India: A 2-Year Retrospective Study
Authors: Shah Mubashir Hassan , McAleese Samuel , Kadam Sandeep , Parikh Tushar , Vaidya Umesh , Sanghavi Sonali , Johnson Julia
Published: June 2022

Objective:

Treating neonatal bloodstream infections and meningitis in South Asia remains difficult given high rates of antimicrobial resistance (AMR). To evaluate changing epidemiology of neonatal infections, we assessed pathogen-specific and clinical features of culture-proven infections in neonates admitted to a neonatal intensive care unit (NICU) in Pune, India.

Materials and Methods

This retrospective cohort study was performed in the King Edward Memorial Hospital and Research Center NICU over 2 years between January 1, 2017 and December 31, 2018. We included all neonates admitted to the NICU with positive blood or cerebrospinal fluid cultures. Demographic, clinical, and microbiologic data were collected from the medical record. We reviewed antimicrobial susceptibility testing (AST) of all isolates.

Results

There were 93 culture-positive infections in 83 neonates, including 11 cases of meningitis. Fifteen (18%) neonates died. Gram-negative pathogens predominated (85%) and AST showed 74% resistance to aminoglycosides, 95% resistance to third/fourth generation cephalosporins, and 56% resistance to carbapenems. Resistance to colistin was present in 30% of Klebsiella pneumoniae isolates. Birth weight <1,000 g [odds ratio (OR) 6.0, p < 0.002], invasive respiratory support (OR 7.7, p = 0.001), and antibiotics at the time of culture (OR 4.2, p = 0.019) were associated with increased risk of mortality. Rates of AMR to all major antibiotic classes were similar between early onset and late onset infections. There was no association between carbapenem resistance and mortality.

Conclusion

In our NICU in India, there are high rates of AMR among Gram-negative pathogens that are predominantly responsible for infections. Given higher colistin resistance in this cohort than previously reported, hospitals should consider routinely testing for colistin resistance.
Pharmacometabolomics Profiling of Preterm Infants Validates Patterns of Metabolism Associated With Response to Dexamethasone Treatment for Bronchopulmonary Dysplasia
Authors: Stockard Bradley , Gauldin Cheri , Truog William , Lewis Tamorah
Published: June 2022

Bronchopulmonary dysplasia (BPD) is one of the most common health complications of premature birth. Corticosteroids are commonly used for treatment of BPD, but their use is challenging due to variability in treatment response. Previous pharmacometabolomics study has established patterns of metabolite levels with response to dexamethasone. We obtained additional patient samples for metabolomics analysis to find associations between the metabolome and dexamethasone response in a validation cohort. A total of 14 infants provided 15 plasma and 12 urine samples. The measure of treatment response was the calculated change in respiratory severity score (deltaRSS) from pre-to-post treatment. Each metabolite was assessed with paired analysis of pre and post-treatment samples using Wilcoxon signed rank test. Correlation analysis was conducted between deltaRSS and pre-to-post change in metabolite level. Paired association analysis identified 20 plasma and 26 urine metabolites with significant level difference comparing pre to post treatment samples (p < 0.05). 4 plasma and 4 urine metabolites were also significant in the original study. Pre-to-post treatment change in metabolite analysis identified 4 plasma and 8 urine metabolites significantly associated with deltaRSS (p < 0.05). Change in urine citrulline levels showed a similar correlation pattern with deltaRSS in the first study, with increasing level associated with improved drug response. These results help validate the first major findings from pharmacometabolomics of BPD including key metabolites within the urea cycle and trans-4-hydroxyproline as a potential marker for lung injury. Ultimately, this study furthers our understanding of the mechanisms of steroid response in BPD patients and helps to design future targeted metabolomics studies in this patient population.
Screening for Early Emerging Mental Experiences (SEE ME): A Model to Improve Early Detection of Psychosis in Integrated Primary Care
Authors: Woodberry Kristen A. , Johnson Kelsey A. , Shrier Lydia A.
Published: June 2022

Early intervention in serious mental health conditions relies on the accurate identification of adolescents and young adults at high risk or with very recent onset of psychosis. Current early detection strategies have had limited success, identifying only a fraction of these individuals within the recommended 3- to 6-month window. Broader public health strategies such as population screening are hampered by low base rates and poor self-report screen specificity. Screening for Early Emerging Mental Experiences (SEE ME) is a three-stage “SCREEN—TRIAGE—ENGAGE” model for the early detection of psychosis in integrated primary care adolescent and young adult patients during the period of peak onset. It builds on the KNOW THE SIGNS—FIND THE WORDS—MAKE THE CONNECTION framework outlined on psychosisscreening.org and developed with input from community collaborators. Systematic screening aims to expand the reach of early detection and reduce reliance on provider knowledge. Triage and engagement by trained mental health clinicians aims to improve the specificity of screen responses, enhance engagement in appropriate care, and reduce provider burden. Leveraging the low stigma of primary care, its reach to non-help-seeking adolescents and young adults, and the mental health training of clinicians within integrated care practices, SEE ME has potential to improve the benefit/risk ratio of early detection of psychosis by improving both the sensitivity and specificity of screening and clinical response. We review the rationale and design of this promising model.
Screening of Biomarkers and Toxicity Mechanisms of Rifampicin-Induced Liver Injury Based on Targeted Bile Acid Metabolomics
Authors: Deng Yang , Luo Xilin , Li Xin , Xiao Yisha , Xu Bing , Tong Huan
Published: June 2022

Rifampicin (RIF) is a critical first-line drug for tuberculosis. However, long-term or high-dose treatment with RIF can induce severe liver injury; the underlying mechanism of this effect has not yet been clarified. This study was performed to screen reliable and sensitive biomarkers in serum bile acids (BAs) using targeted BA metabolomics and evaluate the toxicity mechanisms underlying RIF-induced liver injury through the farnesoid x receptor (Fxr)-multidrug resistance-associated proteins (Mrps) signaling pathway. Thirty-two Institute of Cancer Research mice were randomly divided into four groups, and normal saline, isoniazid 75 mg/kg + RIF 177 mg/kg (RIF-L), RIF-L, or RIF 442.5 mg/kg (RIF-H) was orally administered by gavage for 21 days. After treatment, changes in serum biochemical parameters, hepatic pathological conditions, BA levels, Fxr expression, and BA transporter levels were measured. RIF caused notable liver injury and increased serum cholic acid (CA) levels. Decline in the serum secondary BAs (deoxycholic acid, lithocholic acid, taurodeoxycholic acid, and tauroursodeoxycholic acid) levels led to liver injury in mice. Serum BAs were subjected to metabolomic assessment using partial least squares discriminant and receiver operating characteristic curve analyses. CA, DCA, LCA, TDCA, and TUDCA are potential biomarkers for early detection of RIF-induced liver injury. Furthermore, RIF-H reduced hepatic BA levels and elevated serum BA levels by suppressing the expression of Fxr and Mrp2 messenger ribonucleic acid (mRNA) while inducing that of Mrp3 and Mrp4 mRNAs. These findings provide evidence for screening additional biomarkers based on targeted BA metabolomics and provide further insights into the pathogenesis of RIF-induced liver injury.
Design, Synthesis, and Action Mechanism of 1,3-Benzodioxole Derivatives as Potent Auxin Receptor Agonists and Root Growth Promoters
Authors: Yang Zhikun , Xu Jiahui , Du Lin , Yin Jiaming , Wang Zhao , Yi Fei , Duan Liusheng , Li Zhaohu , Wang Baomin , Shu Kai , Tan Weiming
Published: June 2022

Deeper and longer roots allow crops to survive and flourish, but our understanding of the plant growth regulators promoting root system establishment is limited. Here, we report that, a novel auxin receptor agonist, named K-10, had a remarkable promotive effect on root growth in both Arabidopsis thaliana and Oryza sativa through the enhancement of root-related signaling responses. Using computer-aided drug discovery approaches, we developed potent lead compound by screening artificial chemicals on the basis of the auxin receptor TIR1 (Transport Inhibitor Response 1), and a series of N-(benzo[d] [1,3] dioxol-5-yl)-2-(one-benzylthio) acetamides, K-1 to K-22, were designed and synthesized. The results of bioassay showed that K-10 exhibited an excellent root growth-promoting activity far exceeding that of NAA (1-naphthylacetic acid). A further morphological investigation of the auxin related mutants (yucQ, tir1) revealed that K-10 had auxin-like physiological functions and was recognized by TIR1, and K-10 significantly enhanced auxin response reporter’s (DR5:GUS) transcriptional activity. Consistently, transcriptome analysis showed that K-10 induced a common transcriptional response with auxin and down-regulated the expression of root growth-inhibiting genes. Further molecular docking analysis revealed that K-10 had a stronger binding ability with TIR1 than NAA. These results indicated that this class of derivatives could be a promising scaffold for the discovery and development of novel auxin receptor agonists, and the employment of K-10 may be effective for enhancing root growth and crop production.
Specific Plant Mycorrhizal Responses Are Linked to Mycorrhizal Fungal Species Interactions
Authors: Guo Xin , Wang Ping , Wang Xinjie , Li Yaoming , Ji Baoming
Published: June 2022

Effects of arbuscular mycorrhizal fungi (AMF) on plants span the continuum from mutualism to parasitism due to the plant–AMF specificity, which obscures the utilization of AMF in the restoration of degraded lands. Caragana korshinskii, Hedysarum laeve, Caragana microphylla, and Poa annua are the most frequently used plants for revegetation in Kubuqi Desert, China, and the influence of AMF on their re-establishment remains to be explored further. Herein, using a greenhouse experiment, we tested the plant–AMF feedbacks between the four plant species and their conspecific or heterospecific AMF, retrieved from their rhizosphere in the Kubuqi Desert. AMF showed beneficial effects on plant growth for all these plant-AMF pairs. Generally, AMF increased the biomass of C. korshinskii, H. laeve, C. microphylla, and P. annua by 97.6, 50.6, 46.5, and 381.1%, respectively, relative to control. In addition, the AMF-plant specificity was detected. P. annua grew best, but C. microphylla grew worst with conspecific AMF communities. AMF community from P. annua showed the largest beneficial effect on all the plants (with biomass increased by 63.9–734.4%), while the AMF community from C. microphylla showed the least beneficial effect on all the plants (with biomass increased by 9.9–59.1%), except for P. annua (a 292.4% increase in biomass). The magnitude of AMF effects on plant growth was negatively correlated with the complexity of the corresponding AMF co-occurrence networks. Overall, this study suggests that AMF effects on plant growth vary due to plant-AMF specificity. We also observed the broad-spectrum benefits of the native AMF from P. annua, which indicates its potential utilization in the restoration of the desert vegetation.
Variables Associated With Body Image Concerns in Acromegaly Patients: A Cross-Sectional Study
Authors: Zhang Xiaomei , Li Yanqing , Zhong Yueping , Wang Ziheng
Published: June 2022

Objective

Acromegaly is often characterized by altered physical (including facial) appearance. However, there is little medical or psychological research on body image concerns in patients with acromegaly. The aim of this study was to identify factors influencing the body image distress in patients with acromegaly and to explore the possible effects of stigma on body image concerns.

Design

Cross-sectional study.

Methods

A total of 68 individuals with acromegaly were enrolled in the study. A total of 70 persons with nonfunctional pituitary adenomas were randomly recruited as a healthy control group. Using structured questionnaires, we explored perceived body image using the Body Image Concern Inventory. We also used the Hamilton Anxiety Scale, the Stigma Scale for Chronic Illness, the Brief Illness Perception Questionnaire, and the 36-Item Short-Form Health Survey to evaluate health-associated variables and to analyze factors that affect body image concerns in patients with acromegaly.

Results

Of the 68 participants, 31 were men and 37 women (mean age ± standard deviation: 46.36 ± 12.47 years). The mean body image concern score was 47.49 ± 13.81 for patients with acromegaly and 21.10 ± 7.44 for patients with nonfunctional pituitary adenoma. The difference between the two groups was statistically significant. A multiple stepwise regression analysis showed that the related factors for body image distress were gender (P = 0.001), age at diagnosis (P = 0.01), and internalized stigma (P < 0.001, Adj. R2 = 0.756).

Conclusions

People with acromegaly have substantial body image concerns, and these concerns are increased by the stigma associated with this disease; such concerns lead to poor quality of life (QoL). Physicians need to find better ways to control patients' hormone levels, and nurses should provide more information on how to improve body image or find ways to reduce patients' body image distress.
The Impact of Scarcity on Consumers’ Impulse Buying Based on the S-O-R Theory
Authors: Zhang Jingjing , Jiang Nan , Turner Jason James , Pahlevan-Sharif Saeed
Published: June 2022

Purpose

The global COVID-19 pandemic impacted the healthcare systems of every nation. The scarcity of medical protective equipment led to impulse buying at the early stages of the COVID-19 outbreak in China which resulted in stockpiling and the increase of prices by retailers and insufficiencies among frontline workers. This situation impacted epidemic control work and market order and is the context from which this paper identifies how the scarcity of medical protective equipment affected Chinese consumers’ impulse buying based on the theories of S-O-R model and bandwagon effect. The research provides insight into the mechanism of mediation (fear of missing out) and moderation (bandwagon) in the relationship between scarcity and impulse buying.

Design/Methodology/Approach

This study uses convenience sampling, surveying 488 Chinese consumers through an online questionnaire. Smart-PLS was used to test the hypotheses.

Findings

The empirical findings demonstrate that scarcity makes consumers fear missing the chance of getting protective medical equipment, leading ultimately to impulse buying. Besides, the scarcity effect on consumers’ impulse buying was found to depend on other consumers’ follow up behaviour in such emergency situations.

Research Limitations/Implications

The findings provide managerial and theoretical insight and a point of reference for businesses in the implementation of a scarcity strategy. The findings will also prove useful to the Chinese Risk Response Department as it continuously improves its responses to the risk of consumers’ impulse buying during a pandemic.

Originality/Value

This study consolidates and takes research forward in the areas of impulse buying and consumer behaviour, confirming the mediating effect of fear of missing out and the moderating effect of the bandwagon in the relationship between scarcity and impulse buying.
Dietary Fiber and WHO Food Categories Extension for the Food-Pics_Extended Database
Authors: Medawar Evelyn , Thieleking Ronja , Witte A. Veronica
Published: June 2022

Well characterized databases used for experimental purposes with extensive meta-data are essential for conducting meaningful and comparable studies. The Food-pics_extended database (Blechert et al., 2019) is one example for a widely used food stimulus database (original publication Blechert et al., 2014: 285 citations, and 2019: 32 citations). Indeed, meta-data on low level and high level image characteristics is broad, yet fiber ratings are not included, limiting its use in diet-related studies. Therefore, we developed fiber ratings per item (n = 562 stimuli), based on mean values of four non-expert raters. Ratings show good reliability (ICC = 0.77) and meaningful ranges per food type (mean fiber per 100 g by food type minbeverages = 0.04 ± 0.04 g and maxReady–to–eatsavories = 4.49 ± 1.58). The newly provided fiber ratings enrich the already valuable database and extend it by an important nutrient value for human and planetary health.
Validation of a Measure of Flipped English Learning Readiness and Examination of Its Relationships With Instructional Practices, Learning Self-Efficacy, and Learning Beliefs
Authors: Luo Shuqiong , Gan Zhengdong
Published: June 2022

This study validated the Flipped English Learning Readiness Questionnaire, and examined its relationships with teacher instructional practices, English learning self-efficacy, and language learning beliefs. A total of 442 Chinese university EFL students voluntarily participated in this research. Exploratory and confirmatory factor analysis resulted in determination of five flipped English learning readiness factors (i.e.,doing previews, in-class communication self-efficacy, positive experience, intentional behaviors, and self-directed learning) with a strong psychometric basis. The composite reliability, average variance extracted, and HTMT ratio of correlations further confirmed the convergent and discriminant validity of the Flipped English Learning Readiness Questionnaire. Structural equation modeling analysis suggested that English learning self-efficacy was a significant predictor of student flipped English learning readiness among students from different year-levels. Autonomy-supportive instructional practices significantly predicted year 2 students’ self-directed learning while grammar/translation-oriented learning had a significantly positive influence on year 3 students’ positive flipped learning experience and intentional behaviors.
Beyond the Choice of What You Put in Your Mouth: A Systematic Mapping Review of Veganism and Vegan Identity
Authors: Vestergren Sara , Uysal Mete Sefa
Published: June 2022

In recent years, and in the current climate crisis, the interest in veganism and sustainable diet/lifestyle has increased. This growing interest can also be seen within academia. Therefore, we set out to systematically document and organize the social psychological literature on veganism and vegan identity to identify where the field currently is, and what we need to do next. Following PRISMA guidelines we identified a data set of 26 academic papers published between 2010 and 2021. Through a thematic analysis of the data, we created four categories of study focus and content: (1) vegans as a disadvantaged/stigmatized group, (2) the role of ideology in negative attitudes toward vegans, (3) the role of moral and ethical beliefs in changing or sustaining dietary preferences, and (4) veganism as a social movement and vegan activism. Our analysis emphasizes issues with merging all non-meat eaters, reduction of veganism into dietary or lifestyle choices neglecting the politicized content and movement, lack of processes underlying emergence and endurance of veganism, and decontextualization of vegan identity. What is needed is a more fine-grained exploration that addresses the identified issues to account for the content of vegan identity. This would expand, for example, the motives literature to include and emphasize intersectionality in a vegan identity context. Specifically, to facilitate a more sustainable lifestyle, the content of social dimensions needs to be qualitatively explored.
Convergence or Divergence: Preferences for Establishing an Unemployment Subsidy During the COVID-19 Period by Taxing Across Earnings Redistribution in Urban China
Authors: Zhou Yaping , Zhou Jiangjie , Li Yinan , Rui Donggen
Published: June 2022

With the advancement of marketization, China has achieved rapid economic growth and economic class differentiation. This research analyzes the data from China’s livelihood survey, divides the urban Chinese into five socio-economic classes, and tests their preferences and tendencies for income redistribution. It obtains the general attitude differences in subsidy policy and income inequality during COVID-19. Our conclusion are consistent with the existing literature to a great extent; that is, personal factors (self-interest and belief in fairness) play a crucial role in the attitude of Chinese citizens. In the analysis of situational factors, the results show that the higher the level of marketization, the people are more likely to have stronger negative emotions about subsidy or redistribution policies. Further analysis shows that people with the lowest income are susceptible to the fact that income inequality has become significant and show a strong willingness to support the government’s redistribution policy. In contrast, middle-class people tend to favor the government’s redistribution policy, although they will not benefit much from the redistribution policy. Therefore, they lack the motivation to support the government in vigorously implementing the subsidy policy. Significantly, high-income people are indifferent, as they lack such motivation even more. The difference in redistribution preferences between upper-class and lower-class groups signals polarization in Chinese society, especially income redistribution.
Case Report: An Application of Wellbeing Science for the Development of Adolescent High-Performance Athletes in the Australian Football League
Authors: Hoare Erin , Couston Nicky , Hall Kate
Published: June 2022

Elite athletes experience both universal and sport-related mental health risks. Young high-performance athletes on pathways to professional sport also face the additional challenges associated with the developmental period of adolescence and early adulthood, making prevention and mental health promotion critical in this population group. This community case study considers the wider youth mental wellbeing evidence base, alongside primary prevention in elite sport, and proposes a model of wellbeing for the specific implementation in youth high performance athletes in the Australian setting. The Mental Fitness Model is based on the PERMA theory of wellbeing, which comprises positive emotion, engagement, relationships, meaning, and accomplishment, and is tailored specifically to the unique needs of young high-performance athletes in Australia. The Model sits within a host of evidence-based, appropriately resourced, wellbeing science activities, coordinated by an overall strategy that allows monitoring and continuous improvement. As such, we propose this application of wellbeing science is highly novel for the youth high performance setting. Future work is needed to test the feasibility of this model in an applied context. Further work is also needed to integrate specifically cultural considerations for wellbeing, and to integrate the lived experiences of young people through participatory research. This model is proposed to hold unique promise to meet the mental wellbeing needs of young high-performance athletes, whilst promoting positive mental health that can track into adulthood.
Nature-Based Relaxation Videos and Their Effect on Heart Rate Variability
Authors: Benz Annika B. E. , Gaertner Raphaela J. , Meier Maria , Unternaehrer Eva , Scharndke Simona , Jupe Clara , Wenzel Maya , Bentele Ulrike U. , Dimitroff Stephanie J. , Denk Bernadette F. , Pruessner Jens C.
Published: June 2022

Growing evidence suggests that natural environments – whether in outdoor or indoor settings – foster psychological health and physiological relaxation, indicated by increased wellbeing, reduced stress levels, and increased parasympathetic activity. Greater insight into differential psychological aspects modulating psychophysiological responses to nature-based relaxation videos could help understand modes of action and develop personalized relaxation interventions. We investigated heart rate variability (HRV) as an indicator of autonomic regulation, specifically parasympathetic activity, in response to a 10-min video intervention in two consecutive studies as well as heart rate (HR). We hypothesized that a nature-based relaxation video elicits HRV increase and HR decrease, with response magnitude being affected by aspects of early life adversity (conceptualized as low parental care and high overprotection/constraint) and trait mindfulness. In Study 1,N= 60 participants (52% female, agemean= 23.92 ± 3.13 years, agerange= 18–34 years) watched a relaxation video intervention depicting different natural scenery. We analyzed changes in HR and respiratory sinus arrhythmia (RSA) as a standard HRV measure, both based on 3-min segments from the experimental session, in multiple growth curve models. We found a decrease in HR and increase of RSA during the video intervention. Higher paternal care and lower trait mindfulness observing skills (assessed via questionnaires) were associated with higher RSA values before but not during video exposure. In Study 2,N= 90 participants (50% female, agemean= 22.63 ± 4.57 years, agerange= 18–49 years) were assigned to three video conditions: natural scenery from Study 1, meditation video, or short clip from “The Lord of the Rings.” Again, HR decreased, and RSA increased during video segments, yet without expected group differences across different video types. We found higher parental care and lower parental overprotection to predict higher RSA at different times during the experiment. Interestingly, lower paternal overprotection predicted overall higher RSA. These results suggest a generic relaxation effect of video interventions on autonomic regulation that we discuss in light of different theories mapping restorative effects of natural environments. Further, psychological characteristics like aspects of early life adversity and trait mindfulness could contribute to individual differences in autonomic regulation. This study contributes to a better understanding of autonomic and psychological responses to relaxation videos.
Identifying Alcohol Use Disorder With Resting State Functional Magnetic Resonance Imaging Data: A Comparison Among Machine Learning Classifiers
Authors: Vergara Victor M. , Espinoza Flor A. , Calhoun Vince D.
Published: June 2022

Alcohol use disorder (AUD) is a burden to society creating social and health problems. Detection of AUD and its effects on the brain are difficult to assess. This problem is enhanced by the comorbid use of other substances such as nicotine that has been present in previous studies. Recent machine learning algorithms have raised the attention of researchers as a useful tool in studying and detecting AUD. This work uses AUD and controls samples free of any other substance use to assess the performance of a set of commonly used machine learning classifiers detecting AUD from resting state functional network connectivity (rsFNC) derived from independent component analysis. The cohort used included 51 alcohol dependent subjects and 51 control subjects. Despite alcohol, none of the 102 subjects reported use of nicotine, cannabis or any other dependence or habit formation substance. Classification features consisted of whole brain rsFNC estimates undergoing a feature selection process using a random forest approach. Features were then fed to 10 different machine learning classifiers to be evaluated based on their classification performance. A neural network classifier showed the highest performance with an area under the curve (AUC) of 0.79. Other good performers with similar AUC scores were logistic regression, nearest neighbor, and support vector machine classifiers. The worst results were obtained with Gaussian process and quadratic discriminant analysis. The feature selection outcome pointed to functional connections between visual, sensorimotor, executive control, reward, and salience networks as the most relevant for classification. We conclude that AUD can be identified using machine learning classifiers in the absence of nicotine comorbidity.
Context Stability in Habit Building Increases Automaticity and Goal Attainment
Authors: Stojanovic Marco , Grund Axel , Fries Stefan
Published: June 2022

In this paper, we investigate the effects of context stability on automaticity and goal attainment in intentional habit building. We used hierarchical growth curve modeling and multilevel mediation to test our hypotheses on two datasets. In Study 1, N = 95 university students (N = 2,482 habit repetitions) built new study habits over a period of 6 weeks with manipulated context stability. One group was instructed to constantly vary the context of their habit repetitions by changing rooms and times and the other group was instructed to keep the context of habit performance stable. In Study 2, N = 308 habits (N = 2,368 habit repetitions) from N = 218 users of a published habit building app were analyzed without manipulating but measuring context stability. We found the same pattern in both datasets: Context stability predicted more automaticity and higher habit repetition goal attainment. We also found that the effect of context stability on habit repetition goal attainment was partially mediated by automaticity in both datasets. These results show that context does not only act as a trigger for habit instigation but also has an ongoing effect on habit execution.
Social Media News Use Induces COVID-19 Vaccine Hesitancy Through Skepticism Regarding Its Efficacy: A Longitudinal Study From the United States
Authors: Ahmed Saifuddin , Rasul Muhammad Ehab , Cho Jaeho
Published: June 2022

There are mounting concerns about the adverse effects of social media on the public understanding of the COVID-19 pandemic and its potential effects on vaccination coverage. Yet early studies have focused on generic social media use and been based on cross-sectional data limiting any causal inferences. This study is among the first to provide causal support for the speculation that social media news use leads to vaccine hesitancy among US citizens. This two-wave survey study was conducted in the US using Qualtrics online panel-based recruitment. We employ mediation and moderated mediation analyses to test our assumptions. The results suggest that using social media to consume news content can translate into vaccine hesitancy by increasing citizens’ skepticism regarding the efficacy of vaccines. However, these effects are contingent upon the news literacy of users, as the effects on vaccine hesitancy are more substantial among those with lower news literacy. The current study recommends to public policymakers and vaccine communication strategists that any attempt to reduce vaccine hesitancy in society should factor in the adverse effects of social media news use that can increase vaccine safety concerns.
The Role of Teachers’ Constructivist Beliefs in Classroom Observations: A Social Cognitive Theory Perspective
Authors: Chen Po-Hsi , Hong Jon-Chao , Ye Jian-Hong , Ho Ya-Jiuan
Published: June 2022

Previous studies have focused on individuals learning from observing a model to be able to produce the modeled behavior. However, there is a lack of studies emphasizing the perspective of being observed to understand the role of perceived value and stress when teachers act as a teaching model. To address this gap, the present study explored the correlates between teachers’ teaching beliefs, perceived value, psychosocial stress, and continuous intention to be the observed teaching model in classroom observations. Data of 349 respondents were usefully collected, and confirmatory factor analysis with structural equation modeling was performed. Results showed that teachers’ constructivist belief in teaching was positively related to perceived value of being observed and getting feedback, but was negatively related to psychosocial stress. Perceived value was positively related to continuous intention to be observed in future classroom observations, but perceived psychosocial stress was not significantly related to continuous intention. The results of this study can be applied to encourage those who are resistant to presenting their teaching experience in classroom observations.
The Measurement and Preliminary Application of the Concept of Family Centrality
Authors: Wan Xinran , Wang Wei , Wang Shengnan , Shan Geyan , Li Yongxin
Published: June 2022

Family centrality refers to value judgment regarding the relative importance of family in an individual’s life. In contrast to bidirectional research in the field of work-family relationships, much work had been done about the work centrality, whereas few works of research discussed family centrality as an independent concept. Thus, the present study systematically discussed the concept of family centrality in Chinese culture and the preliminary validation of its measurement through two cross-sectional studies. In study 1, questionnaires were distributed to two sub-samples through convenient sampling; one included 185 participants (mean age of 35.51 ± 10.30) and other included 189 participants (mean age of 31.39 ± 6.82). In study 2, through convenient sampling, questionnaires were distributed to 351 participants with a mean age of 35.15 (SD = 9.44) years. Results of Study 1 supported that the Family Centrality Questionnaire (FCQ) has a single-factor structure with good reliability and validity. Additionally, family centrality and work centrality are two independent concepts that can be distinguished on conceptional and applicational levels. Results of Study 2 showed that family centrality had an indirect effect on life wellbeing through life involvement (β = 0.073, 95% CI [0.032, 0128]), and work centrality had an indirect effect on work wellbeing through work involvement (β = 0.089, 95% CI [0.046, 0.142]). Further, family centrality had a spillover effect on work wellbeing through work involvement (β = −0.079, 95% CI [−0.125, −0.42]), and work centrality has a spillover effect on life wellbeing through family involvement (β = −0.053, 95% CI [−0.095, −0.22]). Overall, the results showed that the FCQ can be used as a scientific measurement for future research.
The Impact of Financial Literacy on Entrepreneurial Intention: The Mediating Role of Saving Behavior
Authors: Alshebami Ali Saleh , Al Marri Salem Handhal
Published: June 2022

This study explored the impact of financial literacy (financial awareness) on potential entrepreneurs' intent in Saudi Arabia. It also examined saving behavior as a mediator in the relationship between financial literacy and entrepreneurial intention. The study's data were collected by an online questionnaire sent to a sample of 270 potential entrepreneurs at Abqaiq Applied College, affiliated with King Faisal University. Data analysis was done using partial least squares structural equation modeling (PLS-SEM). According to the findings, there is no direct relationship between financial literacy and entrepreneurial intent. However, it has been reported that saving behavior can mediate between financial literacy and entrepreneurial intent.
Enhancing Chinese EFL Students’ Academic Engagement: The Impact of L2 Enjoyment and Academic Motivation
Authors: Wang Xiaotao
Published: June 2022

Students’ personal, emotional, and psychological traits are perceived to be highly influential in their academic engagement; therefore, many investigations have been conducted into the role of students’ characteristics in their level of engagement. Yet, the role of L2 enjoyment and academic motivation as two instances of students’ emotional traits was disregarded. To narrow this gap, this article aimed to assess the effects of these two constructs on Chinese EFL students’ academic engagement. To accomplish this, three pre-designed scales were virtually administered to 490 Chinese students. Using the Spearman Rho test, significant correlations were discovered among the variables. Further, through regression analysis, the predictive power of dependent variables was also assessed. Chinese students’ academic engagement was proved to be favorably predicted by L2 enjoyment and academic motivation. The implications and limitations are finally discussed.
A Study of Graduate Students’ Achievement Motivation, Active Learning, and Active Confidence Based on Relevant Research
Authors: Chang Jen-Chia , Wu Yu-Tai , Ye Jhen-Ni
Published: June 2022

Graduate students’ failure to graduate is of great concern, with the failure to graduate due to the dissertation being the most influential factor. However, there are many factors that influence the writing of a dissertation, and research on these factors that influence graduate students’ learning through emotion and cognition is still quite rare. A review of past research revealed that the main factor causing graduate students to drop out midway is not completing their thesis, followed by factors including insufficient achievement motivation, lack of learning strategy, and low confidence. The graduation rate of graduate students has been emphasized by the academic community; therefore, this study investigated the correlation between graduate students’ achievement motivation, active learning, and academic confidence in writing research. The study invited graduated students from two universities of science and technology situated in the northern region of Taiwan to complete the questionnaire. In this study, valid data for validation analysis were collected from 173 respondents, and the results showed that achievement motivation positively influenced active learning (higher-order learning, integrative learning, reflective learning) and that active learning (higher-order learning, integrative learning, reflective learning) positively influenced academic confidence. From the above findings, it can be seen that to help graduate students from University of Science and Technology to effectively complete their graduate studies, students should develop good motivation to adopt active learning strategies to enhance their academic self-confidence.
The Multidimensional Lexicon of Emojis: A New Tool to Assess the Emotional Content of Emojis
Authors: Godard Rebecca , Holtzman Susan
Published: June 2022

Emerging studies suggest that emojis can make important contributions to the emotional content and meaning of digital messages. Yet researchers currently lack adequate tools to incorporate emojis into their analyses. To address this gap, we used over 3 million Twitter posts from a period of 17 months and emotion ratings provided by 2,230 human raters to develop and validate the Multidimensional Lexicon of Emojis (MLE). This new lexicon consists of 359 common emojis rated on ten emotion and sentiment dimensions. The MLE is an open-access tool that holds promise for those interested in conducting a comprehensive analysis of the emotional content of digital communication that incorporates emojis and goes beyond the dimensions of negativity and positivity.
Psychological Resilience Among Older Japanese Adults With Mild Cognitive Impairment During the COVID-19 Pandemic
Authors: Matsumoto Nanae , Sugimoto Taiki , Kuroda Yujiro , Uchida Kazuaki , Kishino Yoshinobu , Arai Hidenori , Sakurai Takashi
Published: June 2022

Psychological resilience refers to the ability to cope with adversities, and deficits in resilience might lead to mental illness. The COVID-19 pandemic has had impact on psychological resilience for older adults, but there are as yet no data on its impacts on the mental health of older adults who were living with mild cognitive impairment (MCI). Therefore, the aim of this study was to investigate the impact of the COVID-19 pandemic on psychological resilience in older adults with MCI and to explore associated physical and psychosocial factors. In this cross-sectional study of 268 older adults aged 65–85, we defined MCI as age- and education-adjusted cognitive decline with a standard deviation of 1.0 or more from the reference threshold. During December 2020 to April 2021, we carried out to all participants the 10-item version of the Connor-Davidson Resilience Scale (CD-RISC-10) to measure psychological resilience. We also conducted a comprehensive geriatric assessment including sleep quality and depressive symptoms (Pittsburgh Sleep Quality Index and 15-item Geriatric Depression Scale, respectively). To identify factors associated with CD-RISC-10 scores (mean: 23.3 ± 0.4), multiple regression analysis revealed that older age [coefficient = 0.23, 95% confidence interval (CI) = 0.06–0.39] was significantly correlated with higher scores, whereas poor sleep quality (coefficient = −2.06, 95% CI = −3.93 to −0.19) and depressive symptoms (coefficient = −2.95, 95% CI = −5.70 to −0.21) were significantly correlated with lower scores. In this study, older adults with MCI showed low psychological resilience during the COVID-19 pandemic, and people with low psychological resilience indicated poor sleep quality and depressive symptoms. Our findings suggest directions for devising interventions to maintain mental health and psychological resilience among the vulnerable population of older adults with MCI living under the socially isolated conditions of COVID-19 pandemic restrictions. Our recommendation includes continuous assessment of this population and appropriate care for poor sleep quality and depressive symptoms.
Increased Levels of Cortisol in Individuals With Suicide Attempt and Its Relation With the Number of Suicide Attempts and Depression
Authors: Genis-Mendoza Alma Delia , Dionisio-García Diana María , Gonzalez-Castro Thelma Beatriz , Tovilla-Zaráte Carlos Alfonso , Juárez-Rojop Isela Esther , López-Narváez María Lilia , Castillo-Avila Rosa Giannina , Nicolini Humberto
Published: June 2022

Background

Abnormalities in the hypothalamic-pituitary-adrenal axis (HPA) have been reported in individuals with suicide behavior. The aim of the study was to evaluate cortisol levels in peripheral plasma of individuals with more than one suicide attempt.

Methods

Cortisol concentrations in peripheral plasma were measured using the ELISA technique. Suicide attempts were evaluated by the Columbia Suicide Severity Rating Scale, while depression was evaluated by the Hamilton Depression Rating Scale.

Results

We found elevated cortisol levels in the suicide attempt group when compared with healthy controls (F = 7.26, p-value = 0.008), but no statistical differences with the psychiatric diseases group (F = 1.49, p-value = 0.22). Cortisol levels were higher in individuals with depression (F = 8.99, P = 0.004) and in individuals with two or more suicide attempts (F = 13.56, P < 0.001).

Conclusions

Cortisol levels are increased in individuals who attempt suicide and higher of cortisol concentrations in plasma regard to depression and more attempts of suicide.
Salivary Biomarkers as Predictors of Obesity and Intermediate Hyperglycemia in Adolescents
Authors: Alqaderi Hend , Hegazi Fahad , Al-Mulla Fahd , Chiu Chung-Jung , Kantarci Alpdogan , Al-Ozairi Ebaa , Abu-Farha Mohamed , Bin-Hasan Saadoun , Alsumait Aishah , Abubaker Jehad , Devarajan Sriraman , Goodson J. Max , Hasturk Hatice , Tavares Mary
Published: June 2022

Introduction

Childhood obesity presents a major risk for metabolic diseases in adulthood. Noninvasive methods are needed for predicting the course of obesity in children and its complications. Using blood for longitudinal analyses of biomarkers to predict disease in children is not a convenient method. Saliva presents a noninvasive platform to detect inflammatory changes in biomarkers as possible predictive measures of future pathological events.

Objectives

The aim of this study was to evaluate the relationship between specific salivary biomarkers, obesity, and intermediate hyperglycemia in children. We also investigated the longitudinal association between the salivary biomarkers and change in Body Mass Index-for-age percentile scores (BMIz).

Methods

Data on 353 adolescents were collected from the individuals recruited for seven years in an ongoing Kuwait Healthy Life Study cohort. BMIz was measured at 10, 12, and 17 years of age. Interleukin (IL)-6, IL-8, IL-10, Leptin, C-Reactive Protein (CRP), Insulin, Vascular Endothelial Growth Factor (VEGF), and Monocyte Chemoattractant Protein-1 (MCP-1) were measured in saliva and serum. Additionally, fasting blood plasma glucose levels were recorded. Multilevel longitudinal regression modeling, mediation analyses, and logistic regression were used to determine the predictive value of salivary biomarkers in obesity and hyperglycemia.

Results

Longitudinal analyses showed that with each one-unit increase of salivary CRP and insulin, there was a 3.5 kg/m2 and 3.2 kg/m2 increase in BMIz, respectively. Comparable to serum CRP and insulin, higher salivary CRP and insulin OR 4.94 [95%CI: 1.66,14., OR 2.64 [95%CI: 1.09, 6.38], respectively) were predictive of hyperglycemia and obesity (OR 4.53 [95%CI: 2.40,8.50], OR 3.29 [95%CI: 1.82,5.97], respectively). Insulin was a strong mediator in the relationship between obesity and hyperglycemia.

Conclusion

Our findings demonstrated that salivary CRP and insulin were associated with hyperglycemia, obesity, and possibly diabetes in adolescents. Salivary biomarkers are a noninvasive approach with significant value for disease risk assessment and prevention.
Age-Dependent Risks of COVID-19 Putatively Caused by Variant Alpha in Japan
Authors: Kayano Taishi , Hayashi Katsuma , Kobayashi Tetsuro , Nishiura Hiroshi
Published: June 2022

Background

Osaka, the third largest prefecture in Japan, experienced a rapid replacement of preexisting strains of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by variant alpha during March-April 2021. Assessing the burden of variant alpha on health centers and medical institutions is vital to anticipating the surge of patients. The present study aimed to estimate the age-dependent risks of coronavirus disease (COVID-19) putatively caused by variant alpha in Japan, focusing on epidemiological dynamics in Osaka.

Methods

Descriptive analyses were conducted using data on confirmed, severe and fatal cases of COVID-19 from 16 November 2020 to 22 May 2021. All cases were divided into 6–9 age groups to compare the risks of confirmed diagnosis, severe illness and death from COVID-19 with variant alpha to those caused by preexisting strains.

Results

Individuals with COVID-19 aged under 30 years were more likely to be infected with variant alpha than those in their 40s. The incidence of severe illness and death among all age groups with COVID-19 due to variant alpha was higher than that due to preexisting strains. Patients older than 40 years experienced an increased risk of severe illness and death if infected with variant alpha. However, the proportion of severe cases was lower in the group aged 80 years and older infected with variant alpha than in those infected with preexisting strains.

Conclusion

Our analysis suggests that the incidence of infection among young people aged below 30 years old increased relative to ordinary strains. Risks of severe illness and death in patients with variant alpha COVID-19 was higher than in those with preexisting strains in Osaka, Japan. However, a decrease in the risk of severe illness was observed in people aged ≥80 years, which is probably because medical facilities in Osaka were overwhelmed in April and May 2021. Continuous monitoring of COVID-19 cases with new variants is vital to secure sufficient medical resources for all patients who require medical care.