The Psychiatric quarterly最新文献

{"title":"COVID-19 Pandemic Support Programs for Healthcare Workers and Implications for Occupational Mental Health: A Narrative Review.","authors":"Eden David,&nbsp;Jonathan M DePierro,&nbsp;Deborah B Marin,&nbsp;Vanshdeep Sharma,&nbsp;Dennis S Charney,&nbsp;Craig L Katz","doi":"10.1007/s11126-021-09952-5","DOIUrl":"https://doi.org/10.1007/s11126-021-09952-5","url":null,"abstract":"<p><p>This narrative review aims to summarize initiatives developed during the COVID-19 pandemic to support healthcare workers' emotional well-being within the context of a pre-existing framework of occupational mental health guidelines. This occupational mental health framework integrates principles from multiple disciplines to optimize prevention and management of mental health issues among employees. We conducted an online search on Medline/PubMed, Cochrane Library, and Embase for studies that reported on design or execution of medical institution-based interventions, aiming to support healthcare worker mental health during the COVID-19 pandemic. Inclusion criteria was intentionally broad in order to incorporate as many types of interventions at varying stages of development or evaluation. We included 31 studies in our review that reported on newly designed psychological support interventions for healthcare workers (HCW) during the COVID-19 pandemic. We found that most programs commonly supported HCW mental health through offering one or more of the following initiatives: expanded basic need resources/services, additional workplace training programs that bolstered professional preparedness while also indirectly boosting HCW emotional health, and/or expanded psychological support programs, such as peer support programs, psychoeducational or counseling services. Most programs, however, did not consider methods to ensure program longevity or sustainability. The COVID-19 pandemic has underscored the acuity of HCW mental health issues and is likely to leave long lasting mental health strains among HCW. This pandemic is a critical point in time to catalyze much needed progress in reducing stigma and expanding HCW mental health care access.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"227-247"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488324/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39484565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adverse Effects of Esketamine for the Treatment of Major Depression Disorder: Findings from Randomized Controlled Trials.","authors":"Siyuan Yang,&nbsp;Jiahe Wang,&nbsp;Xiang Li,&nbsp;Tianyi Wang,&nbsp;Zhongmou Xu,&nbsp;Xiang Xu,&nbsp;Xinmin Zhou,&nbsp;Gang Chen","doi":"10.1007/s11126-020-09871-x","DOIUrl":"https://doi.org/10.1007/s11126-020-09871-x","url":null,"abstract":"<p><p>Esketamine is a promising drug which can induce antidepressant effects in Major Depression Disorder (MDD). Several randomized controlled trials (RCTs) have been implemented to assess the efficacy and safety of esketamine for the treatment of MDD. Therefore, we carried out a meta-analysis to assess adverse effect profiles of esketamine for the treatment of MDD. We searched RCTs which were implemented from January 2010 to June 2020 by searching PubMed, Embase and Cochrane Library databases. Finally, four RCTs with 551 patients were included in our study. We pooled 551 patients from 4 RCTs. Compared with placebo, an increased risk of adverse effects was observed in our analysis. After using esketamine, the risk of nausea (RR = 2.34, 95% CI, 1.04 to 5.25, P = 0.04), dissociation (RR = 4.54, 95% CI, 2.36 to 8.73, P < 0.00001), dizziness (RR = 3.00, 95% CI, 1.80 to 5.00, P < 0.0001), vertigo (RR = 7.47, 95% CI, 2.55 to 21.86, P = 0.0002), hypoesthesia (RR = 5.68, 95% CI, 2.06 to 15.63, P = 0.0008), sedation (RR = 3.96, 95% CI, 1.29 to 12.15, P = 0.02) and paresthesia(RR = 3.05, 95% CI, 1.07 to 8.65, P = 0.04)were significantly increased compared with placebo. Our synthesized data analysis revealed drug specific risk profiles. The most frequent adverse effects under treatment with esketamine were nausea, dissociation, dizziness, vertigo, hypoesthesia,sedation and paresthesia.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"81-95"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11126-020-09871-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38791446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence of Mental Disorders in Uganda: a Systematic Review and Meta-Analysis.","authors":"John Nelson Opio,&nbsp;Zachary Munn,&nbsp;Edoardo Aromataris","doi":"10.1007/s11126-021-09941-8","DOIUrl":"https://doi.org/10.1007/s11126-021-09941-8","url":null,"abstract":"<p><p>This systematic review was conducted to determine the prevalence of mental disorders among children and adults in Uganda. A comprehensive systematic search for relevant studies reporting prevalence of mental disorders in children or adults in Uganda was conducted in PubMed, Embase, PsycINFO, Scopus, Web of Science databases and grey literature sources. Study was eligible if, validated instrument based on the International Classification of Diseases or Diagnostic and Statistical Manual of Mental Disorders criteria to assess a mental disorder was used. Eligible studies were critically appraised, prevalence data extracted and pooled using the random-effects model. Certainty in the pooled prevalence estimates was evaluated using the Grading of Recommendation, Assessment, Development and Evaluation approach. A total of 632 records were obtained, of which 26 articles from 24 studies conducted in Uganda were included in the review. Overall and with moderate level of certainty, the prevalence of any mental disorder in Uganda was 22.9% (95% C.I 11.0% - 34.9%) in children and 24.2% (95% C.I 19.8% - 28.6%) in adults. Prevalence of anxiety disorders was 14.4% (95% C.I 4.9% - 24.0%) in children and 20.2% (95% C.I 14.5% - 25.9%) in adults. The prevalence of current depressive disorders was 22.2% (95% C.I 9.2% - 35.2%) in children and 21.2% (95% C.I 16.8% - 25.6%) in adults. Eating disorder and psychotic syndrome disorder were also reported. Our findings suggest that depression and anxiety disorders are common mental disorders in Uganda, affecting approximately one in four persons. The findings provide essential insights for health service planning, clinical practice, and future epidemiological research in Uganda.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"199-226"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11126-021-09941-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39339846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Social Context and Psychological Distress in Adult Canadians with Cannabis Use Disorder: To What Extent Do Social Isolation and Negative Relationships Predict Mental Health?","authors":"Tracy L Gulliver,&nbsp;Ken Fowler","doi":"10.1007/s11126-021-09950-7","DOIUrl":"https://doi.org/10.1007/s11126-021-09950-7","url":null,"abstract":"<p><p>The objectives of this study were to explore perceived social support, negative social interactions, and psychological distress in Canadian adults who experience lifetime abuse, or dependence on cannabis (ADC), and to determine whether, and the extent to which variables of interest predict psychological distress. Data were extracted from a cross-sectional, national datafile representing a sample of 1503 individuals who met the criteria for a lifetime prevalence of ADC. Levels of perceived overall social support, and several subtypes were measured using the Social Provisions Scale (SPS), negative social interactions were assessed using the Negative Social Interaction (NSI) scale, and psychological distress was examined using the Kessler Psychological Distress Scale (K10). It was observed that Canadians with ADC had significantly lower SPS scores (overall, and by subtype) and significantly higher NSI and K10 scores compared with the overall Canadian adult sample. An exploratory stepwise regression revealed that NCI scores were the most significant, positive predictor of psychological distress, which alone accounted for 20 percent of the variance, followed by reassurance of worth, attachment, and social integration which were inversely related to psychological distress. With the recent legalization of cannabis in Canada, the results of this study suggest that abuse may strongly link with negative social consequences that might serve to exacerbate psychological distress. As such, it might be beneficial to clearly understand one's social context when considering medicinal purposes of cannabis for mental health symptom management. Further, the findings also suggest that patients with cannabis addiction will likely benefit from receiving particular forms of social support. Limitations of this study and future research are considered.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"311-323"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476973/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39466299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence of Moderate to Severe Anxiety Symptoms among Patients with Myocardial Infarction: a Meta-Analysis.","authors":"Yajun Lian,&nbsp;Jingsha Xiang,&nbsp;Xiaoyan Wang,&nbsp;Atipatsa C Kaminga,&nbsp;Wenhang Chen,&nbsp;Zhiwei Lai,&nbsp;Wenjie Dai,&nbsp;Jianzhou Yang","doi":"10.1007/s11126-021-09921-y","DOIUrl":"https://doi.org/10.1007/s11126-021-09921-y","url":null,"abstract":"<p><p>This study attempted to synthesize the evidence on the prevalence of moderate to severe anxiety symptoms among myocardial infarction (MI) patients to offer a reliable and accurate estimate on the number of MI patients suffering from moderate to severe anxiety symptoms. Comprehensive electronic searches (PubMed, Embase and Web of Science) were performed from their inception to February 2021. Between-study heterogeneity was analyzed using the Cochran's Q test and [Formula: see text] statistic, and if it was high across the eligible studies, meta-regression and subgroup analyses were conducted to examine the source of heterogeneity. Publication bias and the robustness of the pooled results were also examined. A total of 18 eligible studies covering 8,532 MI patients were included, of which 3,443 were identified with moderate to severe anxiety symptoms. Between-study heterogeneity was high ([Formula: see text]=98.8%) with the reported prevalence ranging from 9.6% to 69.17%, and the pooled prevalence was 38.08% (95% confidence interval: 28.82-47.81%) by a random-effects model. Meta-regression analyses indicated that publication year (β = -0.014) was significant moderators contributing 16.11% to the heterogeneity. Subgroup analyses indicated that studies using the anxiety subscale of Brief Symptom Inventory to assess anxiety were homogenous ([Formula: see text]=0.0). Furthermore, the pooled prevalence of moderate to severe anxiety symptoms varied significantly by geographic region, instrument used to assess anxiety, methodological quality, sex, education level, a history of previous MI and hypercholesterolemia. Additionally, the results of Egger's linear test (t = -0.630) and Begg's rank test (z = -0.190) indicated no evidence of publication bias, and the sensitivity of the pooled results was low. Nearly two fifth of MI patients suffered from moderate to severe anxiety symptoms, which emphasizes the importance of early identification of anxiety symptoms after MI, as well as the need of implementing psychological interventions for those with elevated anxiety symptoms.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"161-180"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11126-021-09921-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38999717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Repetitive Transcranial Magnetic Stimulation: Influence on Stress and Early Responsiveness Outcomes for Depression, Anxiety, and Stress.","authors":"Amalia Badawi,&nbsp;Zachary Steel,&nbsp;Nalin Wijesinghe,&nbsp;David Berle","doi":"10.1007/s11126-021-09953-4","DOIUrl":"https://doi.org/10.1007/s11126-021-09953-4","url":null,"abstract":"<p><p>The present study investigated whether rTMS treatment for depression reduced stress and whether early responsiveness of rTMS predicted outcomes for depression, anxiety, and stress at the conclusion of treatment. Participants (n = 109) were inpatients at a psychiatric hospital referred for rTMS for depression. Linear mixed models were used to analyse data across time and regression analyses were used to assess early responsiveness. Effect sizes, and clinically significant and reliable change were also analysed. Decreases in scores for depression, anxiety, and stress were evident from pre- to mid-treatment, and from mid- to post-treatment. Large effect sizes were reported from pre- to post-treatment for depression and stress. Changes in depression from pre- to mid-treatment predicted post-treatment depression and stress scores. Clinically significant change was most common for stress and reliable change was most common for depression. Standard rTMS treatment for depression appears to have non-specific benefits in that participant anxiety and stress ratings also improve significantly. Early improvements in depressive symptoms may be indicative of later depression and stress outcomes, suggesting clinical benefit in assessing outcomes during rTMS treatment.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"385-391"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39484566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gender and Racial Disparities among US Psychiatry Residents: A Review of Trends.","authors":"Amna Mohyud Din Chaudhary,&nbsp;Sadiq Naveed,&nbsp;Sundas Saboor,&nbsp;Beenish Safdar,&nbsp;Muhammad Waqar Azeem,&nbsp;Faisal Khosa","doi":"10.1007/s11126-021-09888-w","DOIUrl":"https://doi.org/10.1007/s11126-021-09888-w","url":null,"abstract":"<p><p>Diversity provides better patient outcomes, reduces physician burnout, and therefore lessens the burden of the healthcare system. In this study, we explore the gender and racial trends in the recruitment of medical graduates into US psychiatry residency programs. Retrospective data analysis was performed utilizing the data from the Accreditation Council for Graduate Medical Education (ACGME) Data's annual Resource Books from the year 2007 to 2018. Demographic data, including gender and race, were extracted for psychiatry residents. Gender was categorized as Male, Female, and Not Reported. Race/ethnicity was categorized as White (Non-Hispanic), Asian/Pacific Islander, Hispanic, Black/African-American (Non-Hispanic), Native American/Alaskan, Others (not in the aforementioned categories), and Unknown. Female psychiatry residents relatively decreased by 2.6% whereas male psychiatry residents relatively increased by 15.5% from 2007 to 2018. Between the years 2011 and 2018, there was a relative increase in African American/Black and Native American/Alaskan psychiatry residents by 5.5% and 1%, respectively, whereas the Asian/Pacific Islanders, White (Non-Hispanic), and Hispanic/Latino psychiatry residents relatively decreased by 5.1%, 2.3%, and 1.7%, respectively. Despite the overall increase of women and ethnic minorities in US medical schools, women and racial minorities remain significantly under-represented in psychiatry residency programs in the US.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"97-105"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11126-021-09888-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25372892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Involuntary Psychiatric Hospitalization: How Patient Characteristics Affect Decision-Making.","authors":"Ish P Bhalla,&nbsp;Keith Siegel,&nbsp;Monika Chaudhry,&nbsp;Ning Li,&nbsp;Sam Torbati,&nbsp;Teryl Nuckols,&nbsp;Itai Danovitch","doi":"10.1007/s11126-021-09939-2","DOIUrl":"https://doi.org/10.1007/s11126-021-09939-2","url":null,"abstract":"<p><p>Emergency department (ED) psychiatrists face the consequential decision to pursue involuntary inpatient psychiatric admission. Research on the relationship between patient characteristics and the decision to pursue involuntary psychiatric admission is limited. Using data from 2017 to 2018 at an urban Los Angeles hospital, we used generalized linear mixed effects models to compare patients who were involuntarily admitted to inpatient psychiatry to patients who were discharged from the ED. Of 2,448 patients included in the study, 1,217 (49.7%) were involuntarily admitted to inpatient psychiatry and 1,231 (50.3%) were discharged. After controlling for sociodemographic characteristics, admitted patients were more likely to have been brought in by police, have had an organized suicide plan or recent attempt, physical signs of harm, psychosis, depression or hopelessness, lack social support, have diagnoses of schizophrenia or bipolar disorder, and be administered injectable psychotropic medications. Stimulant use, a diagnosis of anxiety or developmental disorders, and recent medical ED utilization were associated with discharge. Psychiatrists pursued involuntarily psychiatric hospitalization based on factors potentially indicative of dangerousness, leaving patients, particularly those with recent substance use, without immediate access to treatment. Policies should focus on increasing follow up to high quality, voluntary outpatient mental health care.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"297-310"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39427460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Discharge Outcomes and Readmission Rates of Mothers Admitted to a Psychiatric Mother and Baby Unit.","authors":"Nayan Soni,&nbsp;Susan Roberts,&nbsp;Grace Branjerdporn","doi":"10.1007/s11126-021-09956-1","DOIUrl":"https://doi.org/10.1007/s11126-021-09956-1","url":null,"abstract":"<p><p>To evaluate change in Health of the Nation Outcome Scale (HoNOS) scores from admission to discharge, readmission rates after 28-day and six months post-discharge, and factors associated with readmission in a Mother and Baby Unit (MBU). An exploratory cohort study was completed of mother-infant dyads admitted to a public psychiatric MBU in Australia between March 2017 and August 2018 (18 months). Admission and discharge scores on the clinician-rated Health of the Nation Outcome Scale (HoNOS) were compared using dependent samples t-tests. The frequency of readmission to any psychiatric inpatient unit within six months of discharge was determined from medical records. Characteristics of mothers who were and were not readmitted were evaluated. Of the 82 mother-infant dyads admissions, 12 (14.63%) women were readmitted within six months, and six (7.31%) were readmitted within 28-days. Total HoNOS scores significantly improved between admission and discharge (t₍₈₁₎=9.45, p<.000). Descriptive statistics for demographics, diagnoses, Mental Health Act status and discharge supports were computed for women readmitted and not readmitted. While these readmission rates and HONOS scores reflect a successful MBU admission, further research is required with larger sample sizes and more specific maternal and infant mental health outcome measures.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"393-407"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39484564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence and Chatbots in Psychiatry.","authors":"Kay T Pham,&nbsp;Amir Nabizadeh,&nbsp;Salih Selek","doi":"10.1007/s11126-022-09973-8","DOIUrl":"https://doi.org/10.1007/s11126-022-09973-8","url":null,"abstract":"<p><p>The utilization of artificial intelligence (AI) in psychiatry has risen over the past several years to meet the growing need for improved access to mental health solutions. Additionally, shortages of mental health providers during the COVID-19 pandemic have continued to exacerbate the burden of mental illness worldwide. AI applications already in existence include those enabled to assist with psychiatric diagnoses, symptom tracking, disease course prediction, and psychoeducation. Modalities of AI mental health care delivery include availability through the internet, smartphone applications, and digital gaming. Here we review emerging AI-based interventions in the form of chat and therapy bots, specifically conversational applications that teach the user emotional coping mechanisms and provide support for people with communication difficulties, computer generated images of faces that form the basis of avatar therapy, and intelligent animal-like robots with new advances in digital psychiatry. We discuss the implications of incorporating AI chatbots into clinical practice and offer perspectives on how these AI-based interventions will further impact the field of psychiatry.</p>","PeriodicalId":520814,"journal":{"name":"The Psychiatric quarterly","volume":" ","pages":"249-253"},"PeriodicalIF":3.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873348/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39960655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}