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The role of the CNR1 gene in schizophrenia: a systematic review including unpublished data CNR1基因在精神分裂症中的作用:包括未发表数据的系统综述
Pub Date : 2017-01-12 DOI: 10.1590/1516-4446-2016-1969
E. Gouvêa, A. Santos, V. Ota, V. Mrad, A. Gadelha, R. Bressan, Q. Cordeiro, S. Belangero
Objective: Schizophrenia is a multifactorial disorder. It is known that a combination of extensive multiple common alleles may be involved in its etiology, each contributing with a small to moderate effect, and, possibly, some rare alleles with a much larger effect size. We aimed to perform a systematic review of association studies between schizophrenia (and its subphenotypes) and polymorphisms in the CNR1 gene, which encodes cannabinoid receptors classically implicated in schizophrenia pathophysiology, as well as to present unpublished results of an association study in a Brazilian population. Methods: Two reviewers independently searched for eligible studies and extracted outcome data using a structured form. Papers were retrieved from PubMed and ISI Web of Knowledge using the search term schizophrenia in combination with CNR1 or CB1 or cannabinoid receptor. Twenty-four articles met our inclusion criteria. We additionally present data from a study of our own comparing 182 patients with schizophrenia and 244 healthy controls. Results: No consistent evidence is demonstrated. Conclusion: Some seemingly positive association studies stress the need for further investigations of the possible role of endocannabinoid genetics in schizophrenia.
目的:精神分裂症是一种多因素疾病。众所周知,广泛的多个常见等位基因的组合可能与其病因有关,每个等位基因都有小到中等的影响,并且可能有一些罕见的等位基因具有更大的影响。我们的目的是对精神分裂症(及其亚表型)和CNR1基因多态性之间的关联研究进行系统回顾,CNR1基因编码大麻素受体,通常与精神分裂症病理生理有关,并在巴西人群中提出未发表的关联研究结果。方法:两位审稿人独立搜索符合条件的研究,并使用结构化表格提取结果数据。论文从PubMed和ISI Web of Knowledge检索,检索词为schizophrenia in combination with CNR1或CB1或cannabinoid receptor。24篇文章符合我们的纳入标准。我们还提供了我们自己的一项研究的数据,比较了182名精神分裂症患者和244名健康对照者。结果:没有一致的证据证明。结论:一些看似正相关的研究强调有必要进一步研究内源性大麻素基因在精神分裂症中的可能作用。
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引用次数: 17
Latent class profile of psychiatric symptoms and treatment utilization in a sample of patients with co-occurring disorders 精神症状的潜在类别概况和治疗利用在一个样本的患者共发生的障碍
Pub Date : 2017-01-09 DOI: 10.1590/1516-4446-2016-1972
Luis Villalobos-Gallegos, R. Marín-Navarrete, Calos Roncero, H. González-Cantú
Objective: To identify symptom-based subgroups within a sample of patients with co-occurring disorders (CODs) and to analyze intersubgroup differences in mental health services utilization. Methods: Two hundred and fifteen patients with COD from an addiction clinic completed the Symptom Checklist 90-Revised. Subgroups were determined using latent class profile analysis. Services utilization data were collected from electronic records during a 3-year span. Results: The five-class model obtained the best fit (Bayesian information criteria [BIC] = 3,546.95; adjusted BIC = 3,363.14; bootstrapped likelihood ratio test p < 0.0001). Differences between classes were quantitative, and groups were labeled according to severity: mild (26%), mild-moderate (28.8%), moderate (18.6%), moderate-severe (17.2%), and severe (9.3%). A significant time by class interaction was obtained (chi-square [χ2 [15]] = 30.05, p = 0.012); mild (χ2 [1] = 243.90, p < 0.05), mild-moderate (χ2 [1] = 198.03, p < 0.05), and moderate (χ2 [1] = 526.77, p < 0.05) classes displayed significantly higher treatment utilization. Conclusion: The classes with more symptom severity (moderate-severe and severe) displayed lower utilization of services across time when compared to participants belonging to less severe groups. However, as pairwise differences in treatment utilization between classes were not significant between every subgroup, future studies should determine whether subgroup membership predicts other treatment outcomes.
目的:在共发病障碍(CODs)患者样本中确定基于症状的亚组,并分析亚组间在精神卫生服务利用方面的差异。方法:来自某成瘾门诊的215例COD患者填写症状检查表90-修订版。亚组采用潜在类别分析确定。服务利用数据是在3年内从电子记录中收集的。结果:五类模型获得最佳拟合(贝叶斯信息准则[BIC] = 3,546.95;调整BIC = 3363.14;自举似然比检验p < 0.0001)。分类之间的差异是定量的,并根据严重程度进行分组:轻度(26%)、轻度-中度(28.8%)、中度(18.6%)、中度-重度(17.2%)和重度(9.3%)。班级相互作用获得显著时间(χ2 [15]] = 30.05, p = 0.012);轻度(χ2 [1] = 243.90, p < 0.05)、轻度-中度(χ2 [1] = 198.03, p < 0.05)、中度(χ2 [1] = 526.77, p < 0.05)患者的治疗利用率显著高于轻度(χ2 [1] = 243.90, p < 0.05)。结论:与症状较轻组的参与者相比,症状严重程度较高的班级(中重度和重度)的服务利用率较低。然而,由于每个亚组在治疗利用上的两两差异并不显著,未来的研究应确定亚组成员是否能预测其他治疗结果。
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引用次数: 7
Suicide attempts in bipolar I patients: impact of comorbid personality disorders 双相I型患者的自杀企图:共病人格障碍的影响
Pub Date : 2017-01-09 DOI: 10.1590/1516-4446-2016-1982
Severino Bezerra, Amanda Galvão-de-Almeida, Paula Studart, D.F. Martins, André C. Caribé, P. Schwingel, Â. Miranda-Scippa
Objective: To evaluate the association between personality disorders (PDs) and suicide attempts (SAs) in euthymic patients with type I bipolar disorder (BD). Methods: One-hundred twenty patients with type I BD, with and without history of SA, were evaluated during euthymia. The assessment included a clinical and sociodemographic questionnaire, the Hamilton Depression Rating Scale, the Young Mania Rating Scale, the Barratt Impulsiveness Scale, and Structured Clinical Interviews for DSM-IV Axis I and II Disorders. Logistic regression was employed to determine associations between history of SA and patient characteristics. Results: History of SA was significantly associated with comorbid axis I disorder, rapid cycling, high impulsivity (attentional, motor, non-planning, and total), having any PD, and cluster B and C PDs. Only cluster B PDs, high attentional impulsivity, and lack of paid occupation remained significant after multivariate analysis. Conclusions: Cluster B PDs were significantly associated with SA in patients with type I BD. High attentional impulsivity and lack of gainful employment were also associated with SA, which suggests that some cluster B clinical and social characteristics may exacerbate suicidal behavior in this population. This finding offers alternatives for new therapeutic interventions.
目的:探讨I型双相情感障碍(BD)患者人格障碍(pd)与自杀企图(SAs)的关系。方法:对120例有或无SA病史的I型BD患者进行心境评估。评估包括临床和社会人口调查问卷,汉密尔顿抑郁评定量表,青年躁狂症评定量表,Barratt冲动量表,以及DSM-IV轴I和II障碍的结构化临床访谈。采用Logistic回归来确定SA病史与患者特征之间的关系。结果:SA病史与共病I轴障碍、快速循环、高冲动性(注意、运动、非计划性和总体)、任何PD以及B类和C类PD显著相关。多变量分析表明,只有B类人格障碍、高注意冲动和缺乏有偿职业存在显著性差异。结论:B类pd与I型BD患者的自杀行为显著相关,高注意冲动性和缺乏有酬工作也与SA相关,这表明某些B类临床和社会特征可能加剧该人群的自杀行为。这一发现为新的治疗干预提供了替代方案。
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引用次数: 9
Chronotype and anxiety are associated in patients with chronic primary insomnia 慢性原发性失眠患者的睡眠类型与焦虑相关
Pub Date : 2017-01-09 DOI: 10.1590/1516-4446-2016-2007
G. S. Passos, M. Santana, D. Poyares, C. D'Aurea, A. A. Teixeira, S. Tufik, M. D. de Mello
Objective: To assess the interaction of chronotype with anxiety in patients with chronic primary insomnia. Methods: Sixty-four patients (50 women) with mean age 43.9±8.1 years were investigated with the Horne and Östberg Morningness-Eveningness Questionnaire (MEQ) and State-Trait Anxiety Inventory (STAI). Results: Significant negative correlations of chronotype-MEQ score with STAI state-anxiety (r = -0.40, p < 0.05), STAI trait-anxiety (r = -0.40, p < 0.05), and STAI pre-sleep state anxiety (r = -0.30, p < 0.05) were observed. Eveningness preference was associated with higher trait, state, and pre-sleep state anxiety. Conclusions: These results suggest that chronotype may be an important parameter to identifying the origin and significance of a vicious anxiety-insomnia-depression cycle in patients with chronic primary insomnia.
目的:探讨慢性原发性失眠症患者的时间型与焦虑的相互作用。方法:采用霍恩及Östberg早晚性问卷(MEQ)和状态-特质焦虑量表(STAI)对64例患者(女性50例)进行调查,平均年龄43.9±8.1岁。结果:时型- meq评分与STAI状态焦虑(r = -0.40, p < 0.05)、STAI特质焦虑(r = -0.40, p < 0.05)、STAI睡前状态焦虑(r = -0.30, p < 0.05)呈显著负相关。夜晚偏好与较高的特质、状态和睡眠前状态焦虑有关。结论:这些结果表明,时间型可能是识别慢性原发性失眠症患者焦虑-失眠-抑郁恶性循环的起源和意义的重要参数。
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引用次数: 22
Predictors of response in the treatment of moderate depression 中度抑郁症治疗反应的预测因素
Pub Date : 2016-11-24 DOI: 10.1590/1516-4446-2016-1976
A. G. Bastos, L. S. Guimarães, C. Trentini
Objective: To identify neurocognitive and sociodemographic variables that could be associated with clinical response to three modalities of treatment for depression, as well as variables that predicted superior response to one treatment over the others. Method: The present study derives from a research project in which depressed patients (n=272) received one of three treatments – long-term psychodynamic psychotherapy (n=90), fluoxetine therapy (n=91), or a combination thereof (n=91) – over a 24-month period. Results: Sociodemographic variables were not found to be predictive. Six predictive neurocognitive variables were identified: three prognostic variables related to working memory and abstract reasoning; one prescriptive variable related to working memory; and two variables found to be moderators. Conclusions: The results of this study indicate subgroups of patients who might benefit from specific therapeutic strategies and subgroups that seem to respond well to long-term psychodynamic psychotherapy and combined therapy. The moderators found suggest that abstract reasoning and processing speed may influence the magnitude and/or direction of clinical improvement.
目的:确定神经认知和社会人口学变量,这些变量可能与抑郁症三种治疗方式的临床反应有关,以及预测一种治疗方法优于其他治疗方法的变量。方法:本研究来源于一项研究项目,在该项目中,272名抑郁症患者接受了三种治疗方法中的一种,即长期心理动力治疗(90名)、氟西汀治疗(91名)或两者联合治疗(91名),持续时间为24个月。结果:未发现社会人口学变量具有预测作用。六个预测神经认知变量:三个预测变量与工作记忆和抽象推理有关;一个与工作记忆有关的规定性变量;有两个变量是调节因子。结论:本研究的结果表明,亚组患者可能受益于特定的治疗策略,而亚组患者似乎对长期心理动力学心理治疗和联合治疗反应良好。调节者发现,抽象推理和处理速度可能影响临床改善的幅度和/或方向。
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引用次数: 11
The rs11191580 variant of the NT5C2 gene is associated with schizophrenia and symptom severity in a South Chinese Han population: evidence from GWAS NT5C2基因rs11191580变异与华南汉族人群精神分裂症和症状严重程度相关:来自GWAS的证据
Pub Date : 2016-11-24 DOI: 10.1590/1516-4446-2016-1958
Zhen Li, Juan Jiang, Jianxiong Long, Weijun Ling, Guifeng Huang, Xiaojing Guo, Li Su
Objective: Recent genome-wide association studies have identified a significant relationship between the NT5C2 variant rs11191580 and schizophrenia (SCZ) in European populations. This study aimed to validate the association of rs11191580 polymorphism with SCZ risk in a South Chinese Han population. The relationship of this polymorphism with the severity of SCZ clinical symptoms was also explored. Methods: A case-control study was performed in 462 patients with SCZ and 598 healthy controls. rs11191580 was genotyped by the Sequenom MassARRAY iPLEX platform. A total of 459 SCZ patients completed the Positive and Negative Syndrome Scale (PANSS) evaluation. Data were analyzed by PLINK software. Results: We confirmed an association of the rs11191580 polymorphism with SCZ risk in South Chinese Han under a dominant genetic model (ORadj = 0.769; 95%CIadj = 0.600-0.984; padj = 0.037). PANSS scores showed a significant association between variant rs11191580 and total score (padj = 0.032), lack of response scale score (padj = 0.022), and negative scale score (additive: padj = 0.004; dominant: padj = 0.016; recessive: padj = 0.021) after data were adjusted for age and sex. Conclusion: NT5C2 variant rs11191580 conferred susceptibility to SCZ and affected the clinical symptoms of SCZ in a South Chinese Han population.
目的:最近的全基因组关联研究已经确定了欧洲人群中NT5C2变异rs11191580与精神分裂症(SCZ)之间的显著关系。本研究旨在验证rs11191580多态性与华南汉族人群SCZ风险的关系。我们还探讨了这种多态性与SCZ临床症状严重程度的关系。方法:对462例SCZ患者和598名健康对照者进行病例-对照研究。rs11191580通过Sequenom MassARRAY iPLEX平台进行基因分型。共有459例SCZ患者完成了阳性和阴性综合征量表(PANSS)评估。数据采用PLINK软件分析。结果:我们在显性遗传模型下证实了rs11191580多态性与华南汉族SCZ风险的关联(ORadj = 0.769;95%CIadj = 0.600-0.984;Padj = 0.037)。PANSS评分显示变异rs11191580与总分(padj = 0.032)、反应缺失量表评分(padj = 0.022)和负量表评分(加性:padj = 0.004;显性:padj = 0.016;隐性:padj = 0.021),经年龄和性别调整后。结论:nt52c变异rs11191580与华南汉族人群SCZ易感性相关,并影响SCZ临床症状。
{"title":"The rs11191580 variant of the NT5C2 gene is associated with schizophrenia and symptom severity in a South Chinese Han population: evidence from GWAS","authors":"Zhen Li, Juan Jiang, Jianxiong Long, Weijun Ling, Guifeng Huang, Xiaojing Guo, Li Su","doi":"10.1590/1516-4446-2016-1958","DOIUrl":"https://doi.org/10.1590/1516-4446-2016-1958","url":null,"abstract":"Objective: Recent genome-wide association studies have identified a significant relationship between the NT5C2 variant rs11191580 and schizophrenia (SCZ) in European populations. This study aimed to validate the association of rs11191580 polymorphism with SCZ risk in a South Chinese Han population. The relationship of this polymorphism with the severity of SCZ clinical symptoms was also explored. Methods: A case-control study was performed in 462 patients with SCZ and 598 healthy controls. rs11191580 was genotyped by the Sequenom MassARRAY iPLEX platform. A total of 459 SCZ patients completed the Positive and Negative Syndrome Scale (PANSS) evaluation. Data were analyzed by PLINK software. Results: We confirmed an association of the rs11191580 polymorphism with SCZ risk in South Chinese Han under a dominant genetic model (ORadj = 0.769; 95%CIadj = 0.600-0.984; padj = 0.037). PANSS scores showed a significant association between variant rs11191580 and total score (padj = 0.032), lack of response scale score (padj = 0.022), and negative scale score (additive: padj = 0.004; dominant: padj = 0.016; recessive: padj = 0.021) after data were adjusted for age and sex. Conclusion: NT5C2 variant rs11191580 conferred susceptibility to SCZ and affected the clinical symptoms of SCZ in a South Chinese Han population.","PeriodicalId":9246,"journal":{"name":"Brazilian Journal of Psychiatry","volume":"1 1","pages":"104 - 109"},"PeriodicalIF":0.0,"publicationDate":"2016-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78054850","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}
引用次数: 9
How to tell a happy from an unhappy schizotype: personality factors and mental health outcomes in individuals with psychotic experiences 如何分辨快乐与不快乐的分裂型:有精神病经历的个体的人格因素和心理健康结果
Pub Date : 2016-11-24 DOI: 10.1590/1516-4446-2016-1944
L. O. Alminhana, M. Farias, G. Claridge, C. Cloninger, A. Moreira-Almeida
Objective: It is unclear why some individuals reporting psychotic experiences have balanced lives while others go on to develop mental health problems. The objective of this study was to test if the personality traits of harm avoidance, self-directedness, and self-transcendence can be used as criteria to differentiate healthy from unhealthy schizotypal individuals. Methods: We interviewed 115 participants who reported a high frequency of psychotic experiences. The instruments used were the Temperament and Character Inventory (140), Structured Clinical Interview for DSM-IV, and the Oxford-Liverpool Inventory of Feelings and Experiences. Results: Harm avoidance predicted cognitive disorganization (β = 0.319; t = 2.94), while novelty seeking predicted bipolar disorder (β = 0.136, Exp [β]. = 1.146) and impulsive non-conformity (β = 0.322; t = 3.55). Self-directedness predicted an overall decrease in schizotypy, most of all in cognitive disorganization (β = -0.356; t = -2.95) and in impulsive non-conformity (β = -0.313; t = -2.83). Finally, self-transcendence predicted unusual experiences (β = 0.256; t = 2.32). Conclusion: Personality features are important criteria to distinguish between pathology and mental health in individuals presenting high levels of anomalous experiences (AEs). While self-directedness is a protective factor, both harm avoidance and novelty seeking were predictors of negative mental health outcomes. We suggest that the impact of AEs on mental health is moderated by personality factors.
目的:目前尚不清楚为什么一些报告精神病经历的人生活平衡,而另一些人继续发展精神健康问题。本研究的目的是检验人格特征的伤害回避,自我导向和自我超越是否可以作为区分健康和不健康的分裂型个体的标准。方法:我们采访了115名报告有高频率精神病经历的参与者。使用的工具是气质和性格量表(140),DSM-IV的结构化临床访谈,以及牛津-利物浦情感和经验量表。结果:伤害回避预测认知障碍(β = 0.319;t = 2.94),而新奇寻求预测双相情感障碍(β = 0.136, Exp [β])。= 1.146)和冲动性不一致性(β = 0.322;T = 3.55)。自我指导预示着精神分裂型的总体下降,尤其是认知紊乱(β = -0.356;T = -2.95)和冲动性不一致性(β = -0.313;T = -2.83)。最后,自我超越预测不寻常的经历(β = 0.256;T = 2.32)。结论:人格特征是区分高水平异常经历(ae)个体病理与心理健康的重要标准。虽然自我导向是一种保护因素,但避免伤害和追求新奇都是负面心理健康结果的预测因素。我们认为,不良行为对心理健康的影响受人格因素的调节。
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引用次数: 13
Validation of the Brazilian Portuguese version of the Premenstrual Symptoms Screening Tool (PSST) and association of PSST scores with health-related quality of life 巴西葡萄牙语版经前症状筛查工具(PSST)的验证以及PSST评分与健康相关生活质量的关联
Pub Date : 2016-11-24 DOI: 10.1590/1516-4446-2016-1953
R. A. Câmara, C. Köhler, B. Frey, T. Hyphantis, A. Carvalho
Objective: To develop and validate a Brazilian Portuguese version of the Premenstrual Symptoms Screening Tool (PSST), a questionnaire used for the screening of premenstrual syndrome (PMS) and of the most severe form of PMS, premenstrual dysphoric disorder (PMDD). The PSST also rates the impact of premenstrual symptoms on daily activities. Methods: A consecutive sample of 801 women aged ≥ 18 years completed the study protocol. The internal consistency, test-retest reliability, and content validity of the Brazilian PSST were determined. The independent association of a positive screen for PMS or PMDD and quality of life determined by the World Health Organization Quality of Life instrument-Abbreviated version (WHOQOL-Bref) was also assessed. Results: Of 801 participants, 132 (16.5%) had a positive screening for PMDD. The Brazilian PSST had adequate internal consistency (Cronbach’s alpha = 0.91) and test-retest reliability. The PSST also had adequate convergent/discriminant validity, without redundancy. Content validity ratio and content validity index were 0.61 and 0.94 respectively. Finally, a positive screen for PMS/PMDD was associated with worse WHOQOL-Bref scores. Conclusions: These findings suggest that PSST is a reliable and valid instrument to screen for PMS/PMDD in Brazilian women.
目的:开发和验证巴西葡萄牙语版的经前症状筛查工具(PSST),这是一份用于筛查经前综合征(PMS)和最严重形式的经前焦虑症(PMDD)的问卷。PSST还评估了经前症状对日常活动的影响。方法:连续801名年龄≥18岁的女性完成研究方案。测定巴西PSST的内部一致性、重测信度和内容效度。还评估了经前综合症或经前抑郁症阳性筛查结果与世界卫生组织生活质量指标(WHOQOL-Bref)确定的生活质量之间的独立关联。结果:801名参与者中,132名(16.5%)经前不悦症筛查呈阳性。巴西PSST具有足够的内部一致性(Cronbach’s alpha = 0.91)和重测信度。PSST也有足够的收敛/判别效度,没有冗余。内容效度比和内容效度指数分别为0.61和0.94。最后,PMS/PMDD阳性筛查与较差的WHOQOL-Bref评分相关。结论:这些发现表明PSST是巴西妇女经前综合征/经前不悦症筛查的可靠和有效的工具。
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引用次数: 32
A systematic review of the neural correlates of positive emotions 积极情绪的神经关联的系统回顾
Pub Date : 2016-11-24 DOI: 10.1590/1516-4446-2016-1988
Leonardo Machado, A. Cantilino
Objective: To conduct a systematic literature review of human studies reporting neural correlates of positive emotions. Methods: The PubMed and Web of Science databases were searched in January 2016 for scientific papers written in English. No restrictions were placed on year of publication. Results: Twenty-two articles were identified and 12 met the established criteria. Five had been published during the last 4 years. Formation and regulation of positive emotions, including happiness, are associated with significant reductions in activity in the right prefrontal cortex and bilaterally in the temporoparietal cortex, as well as with increased activity in the left prefrontal regions. They are also associated with increased activity in the cingulate gyrus, inferior and middle temporal gyri, amygdalae, and ventral striatum. Conclusion: It is too early to claim that there is an established understanding of the neuroscience of positive emotions and happiness. However, despite overlap in the brain regions involved in the formation and regulation of positive and negative emotions, we can conclude that positive emotions such as happiness activate specific brain regions.
目的:对积极情绪与神经相关的人类研究进行系统的文献综述。方法:检索2016年1月PubMed和Web of Science数据库的英文科技论文。对出版年份没有限制。结果:共鉴定出22篇,其中12篇符合标准。在过去的4年里出版了5本。包括快乐在内的积极情绪的形成和调节与右侧前额叶皮层和两侧颞顶叶皮层的活动显著减少以及左侧前额叶区域的活动增加有关。它们还与扣带回、颞下回和颞中回、杏仁核和腹侧纹状体的活动增加有关。结论:现在就宣称对积极情绪和幸福的神经科学有一个既定的理解还为时过早。然而,尽管参与形成和调节积极和消极情绪的大脑区域重叠,我们可以得出这样的结论:快乐等积极情绪激活了特定的大脑区域。
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引用次数: 30
Suicide detection in Chile: proposing a predictive model for suicide risk in a clinical sample of patients with mood disorders 智利的自杀检测:在情绪障碍患者的临床样本中提出自杀风险的预测模型
Pub Date : 2016-10-20 DOI: 10.1590/1516-4446-2015-1877
J. Barros, S. Morales, O. Echávarri, Arnol García, J. Ortega, Takeshi Asahi, C. Moya, R. Fischman, M. P. Maino, Catalina Núñez
Objective: To analyze suicidal behavior and build a predictive model for suicide risk using data mining (DM) analysis. Methods: A study of 707 Chilean mental health patients (with and without suicide risk) was carried out across three healthcare centers in the Metropolitan Region of Santiago, Chile. Three hundred forty-three variables were studied using five questionnaires. DM and machine-learning tools were used via the support vector machine technique. Results: The model selected 22 variables that, depending on the circumstances in which they all occur, define whether a person belongs in a suicide risk zone (accuracy = 0.78, sensitivity = 0.77, and specificity = 0.79). Being in a suicide risk zone means patients are more vulnerable to suicide attempts or are thinking about suicide. The interrelationship between these variables is highly nonlinear, and it is interesting to note the particular ways in which they are configured for each case. The model shows that the variables of a suicide risk zone are related to individual unrest, personal satisfaction, and reasons for living, particularly those related to beliefs in one’s own capacities and coping abilities. Conclusion: These variables can be used to create an assessment tool and enables us to identify individual risk and protective factors. This may also contribute to therapeutic intervention by strengthening feelings of personal well-being and reasons for staying alive. Our results prompted the design of a new clinical tool, which is fast and easy to use and aids in evaluating the trajectory of suicide risk at a given moment.
目的:利用数据挖掘(DM)分析自杀行为,建立自杀风险预测模型。方法:在智利圣地亚哥大都会区的三个医疗中心对707名智利精神健康患者(有和没有自杀风险)进行了研究。采用5份问卷对343个变量进行了研究。通过支持向量机技术使用DM和机器学习工具。结果:该模型选择了22个变量,根据它们发生的情况来定义一个人是否属于自杀风险区(准确性= 0.78,灵敏度= 0.77,特异性= 0.79)。处于自杀风险区意味着患者更容易有自杀企图或正在考虑自杀。这些变量之间的相互关系是高度非线性的,注意它们在每种情况下的特定配置方式是很有趣的。该模型表明,自杀风险区的变量与个人不安、个人满意度和生活原因有关,特别是与个人对自己能力和应对能力的信念有关的变量。结论:这些变量可以用来创建一个评估工具,使我们能够识别个人的风险和保护因素。这也可能有助于通过加强个人幸福感和生存理由的治疗干预。我们的研究结果促使了一种新的临床工具的设计,这种工具既快速又易于使用,并有助于评估特定时刻的自杀风险轨迹。
{"title":"Suicide detection in Chile: proposing a predictive model for suicide risk in a clinical sample of patients with mood disorders","authors":"J. Barros, S. Morales, O. Echávarri, Arnol García, J. Ortega, Takeshi Asahi, C. Moya, R. Fischman, M. P. Maino, Catalina Núñez","doi":"10.1590/1516-4446-2015-1877","DOIUrl":"https://doi.org/10.1590/1516-4446-2015-1877","url":null,"abstract":"Objective: To analyze suicidal behavior and build a predictive model for suicide risk using data mining (DM) analysis. Methods: A study of 707 Chilean mental health patients (with and without suicide risk) was carried out across three healthcare centers in the Metropolitan Region of Santiago, Chile. Three hundred forty-three variables were studied using five questionnaires. DM and machine-learning tools were used via the support vector machine technique. Results: The model selected 22 variables that, depending on the circumstances in which they all occur, define whether a person belongs in a suicide risk zone (accuracy = 0.78, sensitivity = 0.77, and specificity = 0.79). Being in a suicide risk zone means patients are more vulnerable to suicide attempts or are thinking about suicide. The interrelationship between these variables is highly nonlinear, and it is interesting to note the particular ways in which they are configured for each case. The model shows that the variables of a suicide risk zone are related to individual unrest, personal satisfaction, and reasons for living, particularly those related to beliefs in one’s own capacities and coping abilities. Conclusion: These variables can be used to create an assessment tool and enables us to identify individual risk and protective factors. This may also contribute to therapeutic intervention by strengthening feelings of personal well-being and reasons for staying alive. Our results prompted the design of a new clinical tool, which is fast and easy to use and aids in evaluating the trajectory of suicide risk at a given moment.","PeriodicalId":9246,"journal":{"name":"Brazilian Journal of Psychiatry","volume":"44 1","pages":"1 - 11"},"PeriodicalIF":0.0,"publicationDate":"2016-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79274995","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}
引用次数: 31
期刊
Brazilian Journal of Psychiatry
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