Journal of psychopathology and clinical science最新文献

{"title":"Social media and youth mental health: Simple narratives produce biased interpretations.","authors":"Craig J R Sewall,Douglas A Parry","doi":"10.1037/abn0000950","DOIUrl":"https://doi.org/10.1037/abn0000950","url":null,"abstract":"Many academics and pundits contend that social media use is the primary cause of an international youth mental health crisis. However, these claims often rely on correlational evidence, ignoring the confounding effects of developmental, environmental, social, and psychological factors that influence mental health. This oversimplifies the complex etiology of mental health problems. We call for a more nuanced understanding of the role of social media in youth mental health that avoids oversimplification. Additionally, we urge researchers to move beyond vague, narrative-driven verbal theories and encode them into precise, testable causal models. Using simulation techniques and specification curve analyses, we show how misspecified models that ignore these confounding factors can lead to biased conclusions about social media's adverse effects. This simplistic focus on social media use diverts attention from the broader factors contributing to youth mental health problems, hindering the development of effective interventions and support. (PsycInfo Database Record (c) 2024 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165988","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":"Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.","authors":"Beáta Bőthe, Marie-Pier Vaillancourt-Morel, Sophie Bergeron, Zsombor Hermann, Krisztián Ivaskevics, Shane W Kraus, Joshua B Grubbs","doi":"10.1037/abn0000913","DOIUrl":"10.1037/abn0000913","url":null,"abstract":"<p><p>Problematic pornography use (PPU) is the most common manifestation of the newly introduced compulsive sexual behavior disorder diagnosis in the 11th revision of the International Classification of Diseases. Research related to PPU has proliferated in the past two decades, but most prior studies were characterized by several shortcomings (e.g., using homogenous, small samples), resulting in crucial knowledge gaps and a limited understanding concerning empirically based risk factors for PPU. This study aimed to identify the most robust risk factors for PPU using a preregistered study design. Independent laboratories' 74 preexisting self-report data sets (<i>N</i>_participants = 112,397; <i>N</i>_countries = 16) were combined to identify which factors can best predict PPU using an artificial intelligence-based method (i.e., machine learning). We conducted random forest models on each data set to examine how different sociodemographic, psychological, and other characteristics predict PPU, and combined the results of all data sets using random-effects meta-analysis with meta-analytic moderators (e.g., community vs. treatment-seeking samples). Predictors explained 45.84% of the variance in PPU scores. Out of the 700+ potential predictors, 17 variables emerged as significant predictors across data sets, with the top five being (a) pornography use frequency, (b) emotional avoidance pornography use motivation, (c) stress reduction pornography use motivation, (d) moral incongruence toward pornography use, and (e) sexual shame. This study is the largest and most integrative data analytic effort in the field to date. Findings contribute to a better understanding of PPU's etiology and may provide deeper insights for developing more efficient, cost-effective, empirically based directions for future research as well as prevention and intervention programs targeting PPU. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"489-502"},"PeriodicalIF":3.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141332680","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":"Evidence for mood instability in patients with bipolar disorder: Applying multilevel hidden Markov modeling to intensive longitudinal ecological momentary assessment data.","authors":"Sebastian Mildiner Moraga, Fionneke M Bos, Bennard Doornbos, Richard Bruggeman, Lian van der Krieke, Evelien Snippe, Emmeke Aarts","doi":"10.1037/abn0000915","DOIUrl":"10.1037/abn0000915","url":null,"abstract":"<p><p>Bipolar disorder (BD) is a chronic psychiatric condition characterized by large episodic changes in mood and energy. Recently, BD has been proposed to be conceptualized as chronic cyclical mood instability, as opposed to the traditional view of alternating discrete episodes with stable periods in-between. Recognizing this mood instability may improve care and call for high-frequency measures coupled with advanced statistical models. To uncover empirically derived mood states, a multilevel hidden Markov model (HMM) was applied to 4-month ecological momentary assessment data in 20 patients with BD, yielding ∼9,820 assessments in total. Ecological momentary assessment data comprised self-report questionnaires (5 × daily) measuring manic and depressive constructs. Manic and depressive symptoms were also assessed weekly using the Altman Self-Rating Mania Scale and the Quick Inventory for Depressive Symptomatology Self-Report. Alignment between HMM-uncovered momentary mood states and weekly questionnaires was assessed with a multilevel linear model. HMM uncovered four mood states: neutral, elevated, mixed, and lowered, which aligned with weekly symptom scores. On average, patients remained < 25 hr in one state. In almost half of the patients, mood instability was observed. Switching between mood states, three patterns were identified: patients switching predominantly between (a) neutral and lowered states, (b) neutral and elevated states, and (c) mixed, elevated, and lowered states. In all, elevated and lowered mood states were interspersed by mixed states. The results indicate that chronic mood instability is a key feature of BD, even in \"relatively\" euthymic periods. This should be considered in theoretical and clinical conceptualizations of the disorder. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"456-468"},"PeriodicalIF":3.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141199538","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":"Disrupted coherence between autonomic activation and emotional expression in individuals at clinical high risk for psychosis.","authors":"Jessica Fattal, Matias Martinez, Tina Gupta, Jacquelyn E Stephens, Claudia M Haase, Vijay A Mittal","doi":"10.1037/abn0000929","DOIUrl":"10.1037/abn0000929","url":null,"abstract":"<p><p>Landmark studies have shown decreased coherence between different emotion response systems (e.g., physiology and facial expressions) in people with psychosis. However, while there is good evidence to suggest broad signs of affective dysfunction (e.g., blunting of facial expression) in the critical clinical high-risk (CHR) state, it is not clear whether these signs fit into a broader pattern of decoupling. This is in part due to there being no studies to date with this population that include a dyadic interaction. The current laboratory-based dyadic interaction study examined whether there is decreased coherence in CHR between autonomic physiology, as indexed by heart rate, and facial expressions of emotion, assessed by automated facial expressions analysis. The study included 145 individuals consisting of 34 CHR-partner and 41 control-partner pairs who completed clinical interviews and engaged in three naturalistic 10-min conversations while their physiology and expressions were continuously monitored. Compared to controls, CHR youth showed decreased coherence between heart rate and positive (<i>t</i> = 4.09) and negative (<i>t</i> = -7.90) facial expressions. Across CHR and control youth, greater severity of psychosis risk symptoms was related to lower coherence between heart rate and positive (<i>t</i> = 3.97-11.69) and neutral expressions (<i>t</i> = 0.06-4.98), and a change in the direction of the relationship between heart rate and negative expression intensity (<i>t</i> = 7.88-10.60). These findings provide the first evidence for changes in coherence between physiology and facial expressions of emotion in CHR individuals, with larger changes in coherence relating to greater general psychotic-like symptom severity. This evidence may be leveraged to identify targets for early diagnosis and intervention. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"469-476"},"PeriodicalIF":3.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11756646/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141428487","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":"If personality disorder is just maladaptive traits, there is no such thing as personality disorder.","authors":"Christopher J Hopwood","doi":"10.1037/abn0000922","DOIUrl":"10.1037/abn0000922","url":null,"abstract":"<p><p>The diagnosis of personality disorder (PD) is undergoing a transition from a categorical model that distinguishes types from one another to a model that characterizes patients with dimensional profiles. The DSM-5 (D<i>iagnostic and Statistical Manual of Mental Disorders, 5th ed.</i>) alternative model of personality disorder (AMPD) and the <i>International Statistical Classification of Diseases and Related Health Problems</i> (11th ed.) have two primary criteria: the first is a dimension that differentiates PD from both normal personality and other kinds of disorder, can be used to indicate the overall level of severity of a patient's functional difficulties, and is the basis for PD diagnosis. The second is a set of traits with structural connections to normal-range personality variables that characterize the type of problems the patient is likely to have. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"427-428"},"PeriodicalIF":3.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141312449","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":"A panel network analysis of posttraumatic stress disorder and obsessive-compulsive disorder symptoms across the perinatal period.","authors":"Michelle L Miller, Ti Hsu, Kristian E Markon, Rebecca Grekin, Emily B K Thomas","doi":"10.1037/abn0000916","DOIUrl":"10.1037/abn0000916","url":null,"abstract":"<p><p>The perinatal period is marked by a higher risk of experiencing depressive, anxiety, and/or trauma-related symptoms, a phenomenon that affects millions of individuals each year. Obsessive-compulsive disorder (OCD) and posttraumatic stress disorder (PTSD) symptoms commonly co-occur but have rarely been examined together beyond prevalence estimates in the perinatal period. Our study aimed to explore patterns of associations among OCD and PTSD symptoms to elucidate within- and between-person effects and how these effects may change over time. Participants (<i>N</i> = 270) were recruited during pregnancy from an academic medical center affiliated with a midwestern university. PTSD, OCD, and depressive symptoms were assessed at pregnancy, 4, 8, and 12 weeks postpartum. A panel graphical vector autoregression model was used to estimate networks. The temporal network provided information regarding directed predictive effects between symptoms, and hyperarousal, neutralizing, and ordering were the most stable and predictive symptoms across time. The contemporaneous network, which yields undirected partial correlations between symptoms at a given moment, indicated that there were positive associations between intrusions and avoidance, hyperarousal and negative alterations in cognitions and mood, as well as between hyperarousal and dysphoria. This study identified hyperarousal and neutralizing as the PTSD and OCD symptoms with the strongest stability, predictive power, and association with other symptoms. Clinically, this indicates that screening for hyperarousal and neutralizing symptoms may identify individuals who could maximally benefit from treatment in the perinatal period. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"445-455"},"PeriodicalIF":3.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11586077/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141180463","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":"Unique versus shared neural correlates of externalizing psychopathology in late childhood.","authors":"Samantha Perlstein, Samuel W Hawes, Amy L Byrd, Ran Barzilay, Raquel E Gur, Angela R Laird, Rebecca Waller","doi":"10.1037/abn0000923","DOIUrl":"10.1037/abn0000923","url":null,"abstract":"<p><p>Childhood externalizing psychopathology is heterogeneous. Symptom variability in conduct disorder (CD), oppositional defiant disorder (ODD), attention-deficit/hyperactivity disorder (ADHD), and callous-unemotional (CU) traits designate different subgroups of children with externalizing problems who have specific treatment needs. However, CD, ODD, ADHD, and CU traits are highly comorbid. Studies need to generate insights into shared versus unique risk mechanisms, including through the use of functional magnetic resonance imaging (fMRI). In this study, we tested whether symptoms of CD, ODD, ADHD, and CU traits were best represented within a bifactor framework, simultaneously modeling shared (i.e., general externalizing problems) and unique (i.e., symptom-specific) variance, or through a four-correlated factor or second-order factor model. Participants (<i>N</i> = 11,878, age, <i>M</i> = 9 years) were from the Adolescent Brain and Cognitive Development Study. We used questionnaire and functional magnetic resonance imaging data (emotional N-back task) from the baseline assessment. A bifactor model specifying a general externalizing and specific CD, ODD, ADHD, and CU traits factors demonstrated the best fit. The four-correlated and second-order factor models both fit the data well and were retained for analyses. Across models, reduced right amygdala activity to fearful faces was associated with more general externalizing problems and reduced dorsolateral prefrontal cortex activity to fearful faces was associated with higher CU traits. ADHD scores were related to greater right nucleus accumbens activation to fearful and happy faces. Results give insights into risk mechanisms underlying comorbidity and heterogeneity within externalizing psychopathology. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"477-488"},"PeriodicalIF":3.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11293992/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141312450","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":"Sex and gender differences in risk factors for posttraumatic stress disorder: A systematic review and meta-analysis of prospective studies.","authors":"Stephanie Haering, Caroline Meyer, Lars Schulze, Elisabeth Conrad, Meike K Blecker, Rayan El-Haj-Mohamad, Angelika Geiling, Hannah Klusmann, Sarah Schumacher, Christine Knaevelsrud, Sinha Engel","doi":"10.1037/abn0000918","DOIUrl":"10.1037/abn0000918","url":null,"abstract":"<p><p>Women are at higher risk than men for developing posttraumatic stress disorder (PTSD), but underlying mechanisms are still unclear. Comprehensive knowledge about these mechanisms is necessary to develop tailored, sex- and gender-sensitive preventive interventions. This systematic review and meta-analysis examined sex-/gender-dependent risk factors, that is, risk factors with sex/gender differences in (a) vulnerability or (b) prevalence/severity, as well as sex-/gender-specific risk factors, that is, and (c) risk factors present in one sex/gender only. We searched PubMed, Web of Science, PsycINFO, PsycArticles, and PSYNDEX for articles published until October 16, 2022. We included prospective studies that assessed risk factors to predict subsequent PTSD symptom severity, as measured with the Clinician-Administered PTSD scale. The primary outcomes were sex/gender stratified pooled for sex-/gender-dependent vulnerability and sex-/gender-specific risk factors and pooled odds ratio (<i>OR</i>) or standardized mean difference (<i>SMD</i>) for sex-/gender-dependent risk factor prevalence/severity. We screened 17,270 records and included 117 reports from 45 studies (<i>N</i> = 13,752) in the systematic review. Seventeen studies (<i>N</i> = 4,257; 1,827 women, 2,430 men) were included in the meta-analysis. Regarding risk factor vulnerability, analyses revealed no significant sex/gender differences except for acute stress symptoms, with stronger associations for men (<i>b</i> = 0.11, <i>SE</i> = 0.06, <i>p</i> < .05). Regarding risk factor prevalence/severity, women reported more severe immediate psychological stress responses (range <i>SMD</i> = 0.23-0.56) and more commonly had a history of mental illness (<i>OR</i> = 1.81, 1.27-2.58). Men showed higher trauma load (<i>SMD</i> = -0.15, -0.29 to 0.01). Few women-specific and no men-specific factors were identified. Results suggest that women's heightened immediate psychological stress response drives sex/gender disparities in PTSD symptom severity. Preventive interventions should thus target women early after trauma. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"429-444"},"PeriodicalIF":3.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141180495","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":"Prevalence, phenomenology, and impact of misophonia in a nationally representative sample of U.S. adults.","authors":"Laura J Dixon, Mary J Schadegg, Heather L Clark, Carey J Sevier, Sara M Witcraft","doi":"10.1037/abn0000904","DOIUrl":"10.1037/abn0000904","url":null,"abstract":"<p><p>Misophonia is characterized by decreased tolerance for and negative reactions to certain sounds and associated stimuli, which contribute to impairment and distress. Research has found that misophonia is common in clinical, college, and online samples; yet, fewer studies have examined rates of misophonia in population-based samples. The current study addresses limitations of prior research by investigating misophonia prevalence, phenomenology, and impairment in a large, nationally representative sample of adults in the United States. Probability-based sampling was used to administer a survey to a representative sample of U.S. households. Data were adjusted with poststratification weights to account for potential sampling biases and examined as weighted proportions to estimate the outcomes. The sample included 4,005 participants (51.5% female; 62.5% White). Sensitivity to misophonia sounds was reported by 78.5% of the sample, and 4.6% reported clinical levels of misophonia. Results demonstrated significant demographic differences in misophonia symptom severity. Specifically, significantly higher misophonia symptoms were observed for participants who identified as female, less than 55 years old, less than a high school education, never married, lower income, and those working part time, compared to each of the respective comparison groups. Those with clinically significant misophonia symptoms reported that symptoms often onset in childhood and adolescence, were persistent, and contributed to severe impairment in at least one life domain. These findings provide a prevalence estimate of misophonia in the general population of the United States and inform our understanding of who is affected by misophonia. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"403-412"},"PeriodicalIF":3.1,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141082878","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":"The role of loneliness and social isolation in mediating the relationship between childhood maltreatment and schizophrenia: A genetically informed approach.","authors":"Georgia Zavitsanou, Lucy H Waldren, Esther Walton, Vilte Baltramonaityte","doi":"10.1037/abn0000902","DOIUrl":"10.1037/abn0000902","url":null,"abstract":"<p><p>Observational studies have found loneliness and social isolation to mediate the relationship between childhood maltreatment and schizophrenia. Limitations with observational studies (e.g., confounding and reverse causation), however, have meant the robustness of these relationships has thus far not been explored. To address this gap, the current study utilized genomic structural equation modeling (genomic SEM) and Mendelian randomization (MR) to perform a genetic mediation analysis between childhood maltreatment, loneliness/isolation, and schizophrenia, using summary statistics from three genome-wide association studies (sample sizes 105,318-487,647). While we observed a putative effect of both childhood maltreatment (inverse variance weighted <i>OR</i> = 3.44 per standard deviation increase, 95% confidence interval [CI] [1.66-7.13], <i>p</i> < .001) and loneliness/isolation (<i>OR</i> = 2.98, 95% CI [1.37-6.46], <i>p</i> = .006) on schizophrenia, our hypothesis that loneliness/isolation would mediate the relationship between childhood maltreatment and schizophrenia was not supported (genomic SEM indirect effect = -0.05, <i>SE</i> = 0.05, <i>p</i> = .255; MR indirect effect = 0.10, <i>SE</i> = 0.11, p = .369). Furthermore, reverse mediation analysis indicated that the effect may be in the opposite direction (genomic SEM indirect effect = 0.11, <i>SE</i> = 0.02, <i>p</i> < .001; MR indirect effect = 0.01, <i>SE</i> = 0.00, <i>p</i> < .001), accounting for 20.3%-28.9% of the total effect. The current results suggest that intervening in loneliness/isolation in individuals with a history of childhood maltreatment is unlikely to reduce schizophrenia risk. On the contrary, targeting loneliness/isolation in individuals with a genetic predisposition toward schizophrenia may diminish childhood maltreatment risk. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"392-402"},"PeriodicalIF":3.1,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140900519","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}