bluuebunny/crossref_metadata_2025_split huggingface dataset:
How does platform's fintech level affect its word of mouth from the perspective of user psychology?
Authors: Li Yongli , Ma Xiaochen , Li Yujia , Li Rui , Liu Hongyu 
Published: February 2023

IntroductionThe rapid development of fintech has brought opportunities for business operations and economic development. Currently, few researches have focused on how fintech level affects word-of-mouth (WOM) from the perspective of user psychology. Therefore, studying the effect of fintech level on WOM is a worthwhile scientific question.MethodsBased on motivation theory and reinforcement theory, this paper proposes a new psychology-based theoretical framework model to study the relationship between fintech level and WOM and constructs a structural equation model including fintech level, user experience, user trust, user stickiness and WOM through the analysis of 732 questionnaires.ResultsThe results indicate that the improvement of fintech level can enhance WOM. More specifically, fintech level has a significantly positive influence on user stickiness through two mediation variables (user experience and user trust), and further, user stickiness has a significantly positive influence on WOM.DiscussionThis paper analyzes the internal mechanism of fintech level's influence on WOM from the micro psychological perspective, which enriches the psychology theoretical research. And, the conclusions provide specific suggestions for marketing and promotion of financial platforms in the future.
A human stem cell-derived neuronal model of morphine exposure reflects brain dysregulation in opioid use disorder: Transcriptomic and epigenetic characterization of postmortem-derived iPSC neurons
Authors: Mendez Emily F. , Grimm Sandra L. , Stertz Laura , Gorski Damian , Movva Sai V. , Najera Katherine , Moriel Karla , Meyer Thomas D. , Fries Gabriel R. , Coarfa Cristian , Walss-Bass Consuelo 
Published: February 2023

IntroductionHuman-derived induced pluripotent stem cell (iPSC) models of brain promise to advance our understanding of neurotoxic consequences of drug use. However, how well these models recapitulate the actual genomic landscape and cell function, as well as the drug-induced alterations, remains to be established. New in vitro models of drug exposure are needed to advance our understanding of how to protect or reverse molecular changes related to substance use disorders.MethodsWe engineered a novel induced pluripotent stem cell-derived model of neural progenitor cells and neurons from cultured postmortem human skin fibroblasts, and directly compared these to isogenic brain tissue from the donor source. We assessed the maturity of the cell models across differentiation from stem cells to neurons using RNA cell type and maturity deconvolution analyses as well as DNA methylation epigenetic clocks trained on adult and fetal human tissue. As proof-of-concept of this model’s utility for substance use disorder studies, we compared morphine- and cocaine-treated neurons to gene expression signatures in postmortem Opioid Use Disorder (OUD) and Cocaine Use Disorder (CUD) brains, respectively.ResultsWithin each human subject (N = 2, 2 clones each), brain frontal cortex epigenetic age parallels that of skin fibroblasts and closely approximates the donor’s chronological age; stem cell induction from fibroblast cells effectively sets the epigenetic clock to an embryonic age; and differentiation of stem cells to neural progenitor cells and then to neurons progressively matures the cells via DNA methylation and RNA gene expression readouts. In neurons derived from an individual who died of opioid overdose, morphine treatment induced alterations in gene expression similar to those previously observed in OUD ex-vivo brain tissue, including differential expression of the immediate early gene EGR1, which is known to be dysregulated by opioid use.DiscussionIn summary, we introduce an iPSC model generated from human postmortem fibroblasts that can be directly compared to corresponding isogenic brain tissue and can be used to model perturbagen exposure such as that seen in opioid use disorder. Future studies with this and other postmortem-derived brain cellular models, including cerebral organoids, can be an invaluable tool for understanding mechanisms of drug-induced brain alterations.
A systematic review of the co-occurrence of self-harm and aggression: Is dual harm a unique behavioural construct?
Authors: Shafti Matina , Taylor Peter , Forrester Andrew , Handerer Fritz , Pratt Daniel 
Published: February 2023

IntroductionDual harm is the co-occurrence of self-harm and aggression during an individual’s lifetime. It is unclear whether sufficient evidence exists for dual harm as a unique clinical entity. This systematic review aimed to examine whether there are psychological factors that are uniquely associated with dual harm when compared to those who have engaged in sole harm (self-harm alone, aggression alone) and no harmful behaviours. Our secondary aim was to conduct a critical appraisal of the literature.MethodsThe review searched PsycINFO, PubMed, CINAHL, and EThOS on September 27, 2022, resulting in 31 eligible papers that represented 15,094 individuals. An adapted version of the Agency for Healthcare Research and Quality was used to assess risk of bias and a narrative synthesis was conducted.ResultsThe included studies assessed differences in mental health problems, personality, and emotion related factors between the different behavioural groups. We found weak evidence that dual harm is an independent construct with unique psychological characteristics. Rather, our review suggests that dual harm results from the interaction of psychological risk factors that are associated with self-harm and aggression.DiscussionThe critical appraisal identified numerous limitations within the dual harm literature. Clinical implications and recommendations for future research are provided.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=197323, identifier CRD42020197323.
Measuring resilience by cognitive diagnosis models and its prediction of 6-month quality of life in Be Resilient to Breast Cancer (BRBC)
Authors: Liang Mu Zi , Chen Peng , Knobf M. Tish , Molassiotis Alex , Tang Ying , Hu Guang Yun , Sun Zhe , Yu Yuan Liang , Ye Zeng Jie 
Published: February 2023

ObjectiveThe application of advanced Cognitive Diagnosis Models (CDMs) in the Patient Reported Outcome (PRO) is limited due to its complex statistics. This study was designed to measure resilience using CDMs and its prediction of 6-month Quality of Life (QoL) in breast cancer.MethodsA total of 492 patients were longitudinally enrolled from Be Resilient to Breast Cancer (BRBC) and administered with 10-item Resilience Scale Specific to Cancer (RS-SC-10) and Functional Assessment of Cancer Therapy-Breast (FACT-B). Generalized Deterministic Input, Noisy “And” Gate (G-DINA) was performed to measure cognitive diagnostic probabilities (CDPs) of resilience. Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were utilized to estimate the incremental prediction value of cognitive diagnostic probabilities over total score.ResultsCDPs of resilience improved prediction of 6-month QoL above conventional total score. AUC increased from 82.6–88.8% to 95.2–96.5% in four cohorts (all P &lt; 0.001). The NRI ranged from 15.13 to 54.01% and IDI ranged from 24.69 to 47.55% (all P &lt; 0.001).ConclusionCDPs of resilience contribute to a more accurate prediction of 6-month QoL above conventional total score. CDMs could help optimize Patient Reported Outcomes (PROs) measurement in breast cancer.
Using deeply time-series semantics to assess depressive symptoms based on clinical interview speech
Authors: Li Nanxi , Feng Lei , Hu Jiaxue , Jiang Lei , Wang Jing , Han Jiali , Gan Lu , He Zhiyang , Wang Gang 
Published: February 2023

IntroductionDepression is an affective disorder that contributes to a significant global burden of disease. Measurement-Based Care (MBC) is advocated during the full course management, with symptom assessment being an important component. Rating scales are widely used as convenient and powerful assessment tool, but they are influenced by the subjectivity and consistency of the raters. The assessment of depressive symptoms is usually conducted with a clear purpose and restricted content, such as clinical interviews based on the Hamilton Depression Rating Scale (HAMD), so that the results are easy to obtain and quantify. Artificial Intelligence (AI) techniques are used due to their objective, stable and consistent performance, and are suitable for assessing depressive symptoms. Therefore, this study applied Deep Learning (DL)-based Natural Language Processing (NLP) techniques to assess depressive symptoms during clinical interviews; thus, we proposed an algorithm model, explored the feasibility of the techniques, and evaluated their performance.MethodsThe study included 329 patients with Major Depressive Episode. Clinical interviews based on the HAMD-17 were conducted by trained psychiatrists, whose speech was simultaneously recorded. A total of 387 audio recordings were included in the final analysis. A deeply time-series semantics model for the assessment of depressive symptoms based on multi-granularity and multi-task joint training (MGMT) is proposed.ResultsThe performance of MGMT is acceptable for assessing depressive symptoms with an F1 score (a metric of model performance, the harmonic mean of precision and recall) of 0.719 in classifying the four-level severity of depression and an F1 score of 0.890 in identifying the presence of depressive symptoms.DisscussionThis study demonstrates the feasibility of the DL and the NLP techniques applied to the clinical interview and the assessment of depressive symptoms. However, there are limitations to this study, including the lack of adequate samples, and the fact that using speech content alone to assess depressive symptoms loses the information gained through observation. A multi-dimensional model combing semantics with speech voice, facial expression, and other valuable information, as well as taking into account personalized information, is a possible direction in the future.
Correlation between duration of untreated psychosis and long-term prognosis in chronic schizophrenia
Authors: Yu Minglan , Tan Qingyu , Wang Yan , Xu Yi , Wang Tingting , Liu Dongmei , Chen Dechao , Deng Peiying , Huang Chaohua , Liang Xuemei , Liu Kezhi , Xiang Bo 
Published: February 2023

ObjectiveTo explore the relationship between the Duration of Untreated Psychosis (DUP) and long-term clinical outcome, cognitive and social function in patients with chronic schizophrenia (SCZ).MethodsA total of 248 subjects with chronic SCZ were enrolled in this study, including 156 in the short DUP group and 92 in the long DUP group. The Positive and Negative Symptoms Scale (PANSS), the Brief Negative Symptoms Scale (BNSS), the Global Assessment of Functioning (GAF) scale and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were used to assess all of the subjects.ResultsThe negative symptom scores (the PANSS and BNSS) of subjects with long DUP were significantly higher than that in subjects with short DUP. The scores of visual span and speech function in the short DUP group were significantly higher, indicative of decreasing cognitive function with time. In terms of social function, the short DUP group scored higher, with a statistically significant difference. Meanwhile, we found that the length of DUP was positively correlated with the negative symptom score of the PANSS, negatively correlated with visual span scores, and GAF scores.ConclusionThis study demonstrated that the DUP remained a significant association with negative symptom and cognition in long period of chronic SCZ.
Assessing knowledge, attitudes, and practices toward sexually transmitted infections among Baghdad undergraduate students for research-guided sexual health education
Authors: Al-Gburi Ghaith , Al-Shakarchi Ali , Al-Dabagh Jaafar D. , Lami Faris 
Published: February 2023

BackgroundSexually transmitted infections are common and tend to cause a lot of public misconceptions. This study was conducted to identify knowledge gaps and negative attitudes toward sexually transmitted infections and infected individuals among undergraduate students and give recommendations accordingly for the development of more objective research-guided health campaigns and school sex education programs.MethodA cross-sectional study was conducted between May 17, 2022 and June 2, 2022 using a self-administrated questionnaire containing 84 items related to sexually transmitted infections distributed online to Baghdad-based university students.ResultThe sample consisted of 823 respondents; 332 men and 491 women. Overall knowledge was moderate to high, with 628 individuals (76.3%) answering more than half the questions correctly. There was no difference according to gender or previous sexual experience, but knowledge increased by an average of 2.73 points (p &lt; 0.001) when a participant knew a previously infected individual. Less than half identified systemic symptoms of STIs, and their knowledge of other HIV items was also poor. Most respondents (85.5%) agreed to the need for sex education during middle or high school and cited traditional barriers as the most critical barrier (64.8%); in comparison, those who did not agree on its need cited the sensitivity of the subject (40.3%) or religious barriers (20.2%) as more important.ConclusionSpecific knowledge gaps exist for HIV and non-HIV sexually transmitted infections; these should be addressed during sex education, focusing on specific high-risk groups. Negative attitudes and stigmatizing behavior should be addressed as well by increasing focused STI knowledge.
Contextual and environmental factors that influence health: A within-subjects field experiment protocol
Authors: Li Dongying , Lee Chanam , Park Amaryllis H. , Lee Hanwool , Ding Yizhen 
Published: February 2023

BackgroundDespite the growing research on environment-physical activity (PA) relationships, field experimental studies are limited. Such studies offer opportunities to focus on real-world environmental exposure and related PA and health outcomes, allowing researchers to better isolate the causal effect of exposures/interventions. Focusing on the street/pedestrian environment as a routine setting for people's daily activities, this research aims to develop and test a field experiment protocol that integrates instantaneous assessments of the environment, PA, and health outcomes. The protocol involves the use of state-of-the-art environmental monitoring and biosensing techniques and focuses on physically active road users (pedestrians and bicyclists) who are more directly exposed to their surrounding environment than others such as drivers.Methods/DesignAn interdisciplinary research team first identified the target measurement domains for the health outcomes (e.g., stress, thermal comfort, PA) and the street-level environmental exposures (e.g., land use, greenery, infrastructure conditions, air quality, weather) guided by the previous literature which was primarily observational. Portable or wearable measurement instruments (e.g., GPS, accelerometer, biosensor, mini camera, smartphone app, weather station, air quality sensor) were identified, pilot tested, and selected for the identified measures. We ensured that these measures are readily linkable using the time stamp and include eye-level exposures as they impact the users' experiences more directly yet missing in most prior studies relying on secondary, aerial-level measures. A 50-min experimental route was then determined to include typical everyday environments in park and mixed-use settings and to engage participants in three common modes of transportation (walking, bicycling, and driving). Finally, a detailed staff protocol was developed, pilot-tested, and used in a 36-participant within-subject field experiment in College Station, TX. The experiment was successfully executed, showing its potential to support future field experiments that can provide more accurate real-time, real-environment, and multi-dimensional information.DiscussionOur study demonstrates the feasibility of capturing the multifold health benefits/harms related to walking and bicycling in varying urban environments by combining field experiments with environmental, behavioral, and physiological sensing. Our study protocol and reflections can be helpful for a broad spectrum of research addressing the complex and multi-level pathways between the environment, behavior, and health outcomes.
The predictive role of parental attitudes toward COVID-19 vaccines and child vulnerability: A multi-country study on the relationship between parental vaccine hesitancy and financial well-being
Authors: Sharif Nia Hamid , Allen Kelly-Ann , Arslan Gökmen , Kaur Harpaljit , She Long , Khoshnavay Fomani Fatemeh , Gorgulu Ozkan , Sivarajan Froelicher Erika 
Published: February 2023

Background and purposeRecent new mutations and increases in transmission of COVID-19 among adolescents and children highlight the importance of identifying which factors influence parental decisions regarding vaccinating their children. The current study aims to explore whether child vulnerability and parents' attitudes toward vaccines mediate the association between perceived financial well-being and vaccine hesitancy among parents.MethodA predictive, cross-sectional, multi-country online questionnaire was administered with a convenience sample of 6,073 parents (Australia, 2,734; Iran, 2,447; China, 523; Turkey, 369). Participants completed the Parent Attitude About Child Vaccines (PACV), the Child Vulnerability Scale (CVS), a Financial Well-being (FWB) measure, and Parental Vaccine Hesitancy (PVH) questionnaire.ResultsThe current study revealed that perceived financial well-being had significant and negative associations with parents' attitudes toward COVID-19 vaccines and child vulnerability among the Australian sample. Contrary to the Australian findings, results from Chinese participants indicated that financial well-being had significant and positive predictive effects on parent attitudes toward vaccines, child vulnerability, and parental vaccine hesitancy. The results of the Iranian sample revealed that parents' attitudes toward vaccines and child vulnerability significantly and negatively predicted parental vaccine hesitancy.ConclusionThe current study revealed that a parents' perceived financial well-being had a significant and negative relationship with parental attitudes about vaccines and child vulnerability; however, it did not significantly predict parental vaccine hesitancy among Turkish parents as it did for parents in Australia, Iran, and China. Findings of the study have policy implications for how certain countries may tailor their vaccine-related health messages to parents with low financial wellbeing and parents with vulnerable children.
Spatial distribution and trends of anemia among pregnant women in Ethiopia: EDHS 2005–2016
Authors: Ayele Molla Abate , Fenta Haile Mekonnen , Zike Dereje Tesfaye , Tesfaw Lijalem Melie 
Published: February 2023

BackgroundAnemia is a public health problem affecting both developed and developing nations worldwide with a significant consequence on health and economic growth. The problem is more severe in pregnant women. Hence, the main purpose of this study was to determine the factors of anemia levels among pregnant women in zones in Ethiopia.MethodsWe utilized data from 2005, 2011, and 2016 Ethiopian demographic and health survey (EDHSs), a population-based cross-sectional study. The study includes 8,421 pregnant women. An ordinal logistic regression model with spatial analysis was used to explore factors of anemia levels among pregnant women.ResultAbout 224 (2.7%), 1,442 (17.2%), and 1,327 (15.8%) pregnant women were mild, moderate, and severely anemic, respectively. The spatial autocorrelation of anemia among the administrative zones of Ethiopia for the three consecutive was not significant. The middle wealth index of 15.9% (OR = 0.841, CI: 0.72–0.983) and richest wealth index of 51% (OR = 0.49, CI: 0.409–0.586) were less likely anemic compared to the poorest wealth index, age group of mother 30–39 was 42.9% (OR = 0.571, CI: 0.359–0.908) times less likely to be moderate and above anemic compared to &lt;20 years, several household members 4–6 were 51% (OR = 1.51, CI: 1.175–1.94 more likely moderate and above anemic compared to 1–3.ConclusionOver one-third of the pregnant women (34.5%) were anemic in Ethiopia. Wealth index, age group, religion, region, number of household members, source of drinking water, and EDHS were significant factors in anemia levels. The prevalence of anemia among pregnant women varied among Ethiopian administrative zones. North West Tigray, Waghimra, Oromia special woreda, West shewa, and East shewa were a high prevalence of anemia.
Low depression literacy exacerbates the development and progression of depressive mood in Chinese adult social media users during COVID-19: A 3-month observational online questionnaire-based study with multiple cross-sectional analyses
Authors: Shan Dan , Li Shaoyang , Xu Ruichen , Huang Jingtao , Wang Yi , Zheng Yuandian , Huang Shanshan , Song Yuming , Han Junchu , Suto Sayaka , Dai Zhihao 
Published: February 2023

BackgroundThe main purpose of this study was to explore the relationship between depression literacy (D-Lit) and the development and progression of depressive mood.MethodsThis longitudinal study with multiple cross-sectional analyses used data from a nationwide online questionnaire administered via the Wen Juan Xing survey platform. Eligible participants were 18 years or older and had subjectively experienced mild depressive moods at the time of their initial enrollment in the study. The follow-up time was 3 months. Spearman's rank correlation test was used to analyze the predictive role of D-Lit on the later development of depressive mood.ResultsWe included 488 individuals with mild depressive moods. No statistically significant correlation between D-Lit and Zung Self-rating Depression Scale (SDS) at baseline was observed (adjusted rho = 0.001, p = 0.974). However, after 1 month (adjusted rho = −0.449, p &lt; 0.001) and after 3 months (adjusted rho = −0.759, p &lt; 0.001), D-Lit was significantly and negatively correlated with SDS.LimitationsThe targeted subjects were limited to the Chinese adult social media users; meanwhile, China's current management policies for COVID-19 differ from most of the other countries, limiting the generalizability of this study.ConclusionDespite the limitations, our study provided novel evidence supporting that low depression literacy may be associated with exacerbated development and progression of depressive mood, which, if not appropriately and promptly controlled, may ultimately lead to depression. In the future, we encourage further research to explore the practical and efficient ways to enhance public depression literacy.