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PROMOTING ADOLESCENT MENTAL HEALTH THROUGH SCHOOL-BASED LITERACY INITIATIVES: BEYOND THE STIGMA. 通过以学校为基础的扫盲行动促进青少年心理健康:超越耻辱。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Antonella Litta, Antonella Vacca, Maria Vincenza Mino, Francesco Franza, Francesco Pastore

Background: Adolescent mental health has become an increasingly urgent concern, particularly in the aftermath of the COVID-19 pandemic. Mental Health Literacy (MHL) is emerging as a critical construct to promote psychological well-being, reduce stigma, and encourage the early recognition of psychological distress.

Methods: This study presents baseline data from a school-based pilot initiative conducted in a secondary school in Southern Italy. The aim was to assess students' knowledge beliefs, and attitudes toward mental health prior to implementing targeted educational interventions. A total of 85 fifth-year students (mean age = 17.7 years) completed the Italian version of the Mental Health Literacy Questionnaire - short form (MHLq-short), administered anonymously via an online platform. Statistical analyses included descriptive measures and non-parametric tests to explore the association between MHL scores and familiarity with mental health problems.

Results: Students who reported knowing someone with mental health issues exhibited a trend toward higher mental health literacy scores. In contrast, those who reported no such exposure or expressed uncertainty demonstrated lower average ranks, possibly reflecting limited awareness or emotional disengagement.

Conclusions: These findings highlight the potential role of personal experience in shaping mental health literacy and reinforce the need for structured, school-based interventions. To our knowledge, this study represents the first application of the MHLq-short in Italy and supports its feasibility in identifying literacy gaps among adolescents. Future initiatives could aim to replicate and scale this model across diverse educational settings and inform national strategies to integrate MHL into school curricula.

背景:青少年心理健康已成为一个日益紧迫的问题,特别是在2019冠状病毒病大流行之后。心理健康素养(MHL)正在成为促进心理健康、减少耻辱感和鼓励早期识别心理困扰的关键结构。方法:本研究提出了在意大利南部一所中学开展的以学校为基础的试点倡议的基线数据。目的是在实施有针对性的教育干预之前评估学生的知识、信念和对心理健康的态度。共有85名五年级学生(平均年龄= 17.7岁)完成了意大利语版的心理健康素养问卷-简短形式(MHLq-short),通过在线平台匿名管理。统计分析包括描述性测量和非参数检验,以探讨MHL分数与心理健康问题熟悉程度之间的关系。结果:报告认识有心理健康问题的人的学生表现出更高的心理健康素养分数的趋势。相比之下,那些报告没有这种接触或表示不确定的人表现出较低的平均排名,可能反映了有限的意识或情感脱离。结论:这些发现强调了个人经历在塑造心理健康素养方面的潜在作用,并加强了对结构化、以学校为基础的干预措施的需求。据我们所知,这项研究代表了意大利首次应用MHLq-short,并支持其在确定青少年扫盲差距方面的可行性。未来的举措可以旨在在不同的教育环境中复制和扩展这一模式,并为将妇幼保健纳入学校课程的国家战略提供信息。
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引用次数: 0
AI AND ALTERNATIVE SYMPTOMS IN THE DIAGNOSIS OF MDD: The role of forgiveness, hopelessness, mixity and diminished drive. AI和替代症状在MDD诊断中的作用:宽恕、绝望、混杂和动力减弱。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Francesco Franza, Andreana Franza, Luigi Calabrese, Antonio Nicola Iannaccone, Antonio Ricca, Barbara Solomita, Giuseppe Tavormina

The explosion of the use of artificial intelligence (AI) in medical practice has shaken the foundations of clinical assessment and management. In our study, we conducted structured interviews with 43 patients (23 female, 15 male) affected by MMD (DSM-5-TR criteria). We sent the recorded and transcribed semi-structured interviews to the analysis of appropriately trained AI programs. We evaluated the predictive weight of symptoms described by patients beyond those present among the DSM-5-TR diagnostic criteria. We also analyzed the relationship with forgiveness, hopelessness, and diminished drive. The results revealed a positive predictive factor in patients with higher levels of somatization and physical oppression, ambivalent and blocked anhedonia, distress and agitated restlessness, mixed states, and subthreshold symptomatic oscillations.

人工智能(AI)在医疗实践中的爆炸性应用动摇了临床评估和管理的基础。在我们的研究中,我们对43名患有烟雾病(DSM-5-TR标准)的患者(23名女性,15名男性)进行了结构化访谈。我们将录制和转录的半结构化访谈发送给经过适当训练的人工智能程序进行分析。我们评估了超出DSM-5-TR诊断标准的患者所描述的症状的预测权重。我们还分析了宽恕、绝望和动力减弱之间的关系。结果显示躯体化和身体压迫、矛盾和封锁性快感缺乏、痛苦和激动不安、混合状态和阈下症状振荡是阳性的预测因素。
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引用次数: 0
PURPLE DRANK: AN OLD PHENOMENON RETURNS. 紫饮:老现象重现。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Rebecca Juli, Giada Juli, Alfredo Juli, Luigi Juli

Purple drank (PD) also known as "lean" or "sizzurp", is a recreational drug typically containing codeine and promethazine hydrochloride, often mixed with soda or alcohol. This drug is not new, in fact it was used in Texas in the 1960s, and became widely popular in the 1990s especially among adolescents and young adults, becoming the "poor man's drug" because it was readily available and not expensive. Several studies suggest that the number of PD abusers today is increasing, and the underestimation of this phenomenon may be related to the fact that PD components are easily available in pharmacies.

紫色饮料(PD)也被称为“lean”或“sizzurp”,是一种娱乐性药物,通常含有可待因和盐酸异丙嗪,通常与苏打水或酒精混合。这种药物并不新鲜,事实上,它在20世纪60年代在德克萨斯州使用,并在20世纪90年代广泛流行,特别是在青少年和年轻人中,成为“穷人的药”,因为它很容易买到,而且不贵。几项研究表明,今天PD滥用者的数量正在增加,对这一现象的低估可能与PD成分在药店很容易获得有关。
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引用次数: 0
LESSONS TO BE LEARNT FROM THE UNFORTUNATE CASE OF THE DEATH OF MOLLY RUSSELL. 从莫利·罗素的不幸死亡中吸取教训。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Mark Agius, Michaela Agius

In this article we describe the case of Molly Russell, whose suicide was caused by the on line content that she accessed while she was suffering from depression. We describe how this was brought about by the algorithms used in social media sites and the use of the internet to inappropriately call for help in depression instead of turning to human persons for help. We describe the legal measures taken to improve safety for young persons using the internet, and we advise the importance of educating young persons on proper use of the internet and proper understanding of its potential.

在这篇文章中,我们描述了Molly Russell的案例,她的自杀是由她在抑郁症期间访问的在线内容引起的。我们描述了这是如何由社交媒体网站上使用的算法以及在抑郁症中使用互联网不恰当地寻求帮助而不是向人类寻求帮助所带来的。我们介绍了为改善青少年使用互联网的安全而采取的法律措施,并建议教育青少年正确使用互联网和正确认识互联网的潜力的重要性。
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引用次数: 0
HOW SHOULD A DOCTOR REACT WHEN PERSONS EXPRESS A WISH TO SUFFER IN UNION WITH CHRIST? TRUE LOVE AND AN IMPORTANT ISSUE OF NEUROSCIENCE. 当有人表示愿意与基督联合受苦时,医生该如何反应?真爱和神经科学的一个重要问题。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Mark Agius, Michaela Agius

Here we discuss whether the type of love which is expressed as religious Catholics who want to offer their suffering in union with the suffering of Jesus Christ has the same neurological pathways as the usual pathways related to love, that is a neurological pathway linked with the the Reward System and based on Dopamine as the main neurotransmitter. We propose that this type of love is probably based on an input from the Mirror Neuron System, which is related to Empathy. and the Default Mode Network. We accept that there are different inputs for the different types of love but the main output in all cases is the release of Dopamine as a Neurotransmitter. We argue that, while all types of love have, as a final pathway, the release of Dopamine from the Reward system, the type of love which is associated with suffering in union with the suffering of Jesus Christ is related to inputs related to Empathy. and the identifying of the self. By highlighting this perspective, we underscore the importance of recognising and respecting the profound dignity of individuals who choose to engage with their suffering in this meaningful way.

在这里,我们讨论的爱的类型,表达为宗教天主教徒,他们想要奉献自己的痛苦与耶稣基督的痛苦联合在一起,是否有相同的神经通路与爱相关的通常途径,这是一个神经通路与奖励系统,以多巴胺为主要的神经递质。我们认为这种类型的爱可能是基于镜像神经元系统的输入,这与移情有关。和默认模式网络。我们承认,不同类型的爱有不同的输入,但在所有情况下,主要的输出是释放多巴胺作为一种神经递质。我们认为,虽然所有类型的爱都有奖励系统释放多巴胺的最终途径,但与耶稣基督的痛苦相关联的爱的类型与移情相关的输入有关。以及自我的认同。通过强调这一观点,我们强调了承认和尊重选择以这种有意义的方式参与其痛苦的个人的深刻尊严的重要性。
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引用次数: 0
EKBOM SYNDROME (DELUSIONAL PARASITOSIS): A 9 YEAR LONG CASE REPORT. Ekbom综合征(妄想性寄生虫病):一个长达9年的病例报告。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Anne-Frederique Naviaux, Regina Saku

Background: Delusional Parasitosis (DP), or Ekbom Syndrome, is a rare psychodermatological condition marked by a fixed false belief of infestation with parasites despite the absence of objective evidence. Patients often resist psychiatric referral and frequently disengage from mental health services. Complex identity factors, including professional roles, may complicate insight and treatment engagement. This report presents a longitudinal case of a female psychotherapist with DP who remained engaged with psychiatric services for nine years, offering an opportunity to explore the ethical and therapeutic implications of professional identity in the context of psychosis.

Subjects and methods: A retrospective case analysis of a 58-year-old psychotherapist with DP, incorporating clinical observations, interdisciplinary input, and critical review of current literature.

Results: The patient exhibited classic DP features and underwent multiple antipsychotic trials, with varying adherence and outcomes. Her status as a mental health professional presented unique challenges, including denial of psychiatric pathology, ethical conflicts, and difficulty establishing a therapeutic alliance. Despite persistent delusional conviction, a longitudinal therapeutic relationship was maintained through multidisciplinary strategies and adapted communication. Clozapine was considered but not initiated.

Conclusions: This case illustrates that sustained psychiatric engagement is possible even in treatment-resistant DP and emphasizes the need for individualized care, especially when professional identity intersects with psychosis. The case contributes to emerging perspectives on interdisciplinary management and therapeutic alliance in chronic psychodermatological conditions.

背景:妄想寄生虫病(DP),或Ekbom综合征,是一种罕见的精神皮肤病,其特征是尽管缺乏客观证据,但仍有寄生虫感染的固定错误信念。患者往往拒绝精神病转诊,并经常脱离精神卫生服务。复杂的身份因素,包括职业角色,可能会使洞察力和治疗参与复杂化。本报告介绍了一位患有DP的女性心理治疗师的纵向案例,她在精神科服务了九年,为探索精神疾病背景下职业认同的伦理和治疗意义提供了机会。研究对象和方法:回顾性分析一名58岁的DP心理治疗师的病例,包括临床观察、跨学科输入和对当前文献的批判性回顾。结果:患者表现出典型的DP特征,并进行了多次抗精神病药物试验,依从性和结果各不相同。她作为一名精神卫生专业人员的身份提出了独特的挑战,包括否认精神病理学,伦理冲突,以及建立治疗联盟的困难。尽管持续的妄想信念,纵向治疗关系是通过多学科策略和适应沟通维持。考虑氯氮平,但未开始使用。结论:该病例说明,即使在治疗难治性抑郁患者中,持续的精神治疗也是可能的,并强调了个性化护理的必要性,特别是当职业身份与精神病交叉时。该病例有助于对慢性精神皮肤病的跨学科管理和治疗联盟的新兴观点。
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引用次数: 0
WINSTON'S DYSTHYMIA: UNDERSTANDING THE CONNECTION BETWEEN CHILDHOOD TRAUMA, WORKPLACE STRAIN, AND COMMUNITY LACK OF EMPATHY IN CHRONIC DEPRESSION. 温斯顿的心境恶劣:理解慢性抑郁症中儿童创伤、工作压力和社区缺乏同理心之间的联系。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Savelii Fursov, Elena Sloeva, Daria Smirnova

Background: Characters in George Orwell's novel "1984" have certain behavioral features which may be taken as pathological. We hypothesized that Winston Smith in particular suffers from chronic mild depression, which is a result of external pressure from the fictional dystopian society (i.e., multimodal stress of childhood trauma, workplace strain, disrupted close relationships, emotional deprivation, feeling of loneliness, and unempathetic community). To confirm the hypothesis, we conducted a number of analyses of the English text of the novel "1984".

Subjects and methods: Taking the full English text of "1984", we analyzed its fragments of first-person narrative, such as Winston's diary remarks and his speech during spoken communications as described in the novel. We then used the psycholinguistic method of clinical psycholinguistic analysis to analyze the text of Winston's diary from the perspective of psycholinguistic typology of literary texts based on emotional-semantic dominance as developed by the philologist Valery Belyanin (2000). The Belyanin method entailed placing a focus on the fragments of the first-person narratives representing descriptions of characters' emotions and feelings with subsequent determination of their type.

Results: In the first diary excerpt, Winston's writing consists of short, exclamatory phrases. He repeatedly uses the first-person singular pronouns and self-referential sentences, with simple and complex sentence structures. Lexical repetition is high, and emotional vocabulary emphasizes defiance and apathy. The second excerpt is purely declarative and reasoning-focused. It contains minimal stylistic markers, with present-tense verbs, no personal pronouns, and no emotional or figurative language. Key themes revolve around existential values, mortality, truth, and defiance against oppression. There is a notable absence of hedonic, familial, or self-realization themes, reinforcing a limited semantic focus aligned with existential distress. Winston Smith exhibits classic dysthymic markers, such as pervasive self-criticism, preoccupation with mortality, emotional heaviness, repetitive confessional style, and an undercurrent of hopeless defiance.

Conclusions: According to our psycholinguistic analysis of Winston Smiths' diary text and dialogues, his language reflects depressive processing of personal and life experiences, reduced semantic productivity, fragmented meanings, and an emotionally negative dominant tone. Application of the psycholinguistic diagnostic model for mild depression confirms that his diary entries exhibit pronounced markers of mild depression of the melancholic and astheno-hypodynamic types. This analysis affirms the psychological insight applied by the author in developing his characters.

背景:乔治·奥威尔小说《1984》中的人物具有一定的行为特征,这些特征可以被认为是病态的。我们假设温斯顿·史密斯特别患有慢性轻度抑郁症,这是虚构的反乌托邦社会外部压力的结果(即童年创伤的多模态压力,工作压力,中断的亲密关系,情感剥夺,孤独感和缺乏同情心的社区)。为了证实这一假设,我们对小说《1984》的英文文本进行了大量分析。研究对象和方法:以《1984》的英文全文为例,分析了小说中温斯顿的日记评论和他在口语交流中的讲话等第一人称叙事片段。然后,我们运用临床心理语言学分析的心理语言学方法,从语言学家Valery Belyanin(2000)基于情感-语义优势的文学文本心理语言学类型学的角度对温斯顿日记文本进行了分析。Belyanin方法需要将重点放在第一人称叙述的片段上,这些片段代表了人物的情感和感受,随后确定了它们的类型。结果:在第一个日记节选中,温斯顿的文字由简短的感叹词组成。他反复使用第一人称单数代词和自我指称句,句子结构简单复杂。词汇重复率高,情感词汇强调反抗和冷漠。第二个节选纯粹是陈述性的,以推理为重点。它包含最少的文体标记,有现在时态动词,没有人称代词,没有情感或比喻语言。关键主题围绕着存在价值、死亡、真理和反抗压迫。明显缺乏享乐、家庭或自我实现的主题,强化了与存在主义痛苦相一致的有限语义焦点。温斯顿·史密斯表现出典型的病态特征,比如无处不在的自我批评,对死亡的关注,情感沉重,重复的忏悔风格,以及一种无望的反抗的暗流。结论:根据我们对温斯顿·史密斯日记文本和对话的心理语言学分析,他的语言反映了个人和生活经历的压抑加工,语义生产力下降,意义碎片化,情绪消极的主导语气。对轻度抑郁症的心理语言学诊断模型的应用证实,他的日记条目显示出忧郁型和衰弱-低动力型轻度抑郁症的明显标记。这一分析肯定了作者在塑造人物时运用的心理学洞察力。
{"title":"WINSTON'S DYSTHYMIA: UNDERSTANDING THE CONNECTION BETWEEN CHILDHOOD TRAUMA, WORKPLACE STRAIN, AND COMMUNITY LACK OF EMPATHY IN CHRONIC DEPRESSION.","authors":"Savelii Fursov, Elena Sloeva, Daria Smirnova","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Characters in George Orwell's novel \"1984\" have certain behavioral features which may be taken as pathological. We hypothesized that Winston Smith in particular suffers from chronic mild depression, which is a result of external pressure from the fictional dystopian society (i.e., multimodal stress of childhood trauma, workplace strain, disrupted close relationships, emotional deprivation, feeling of loneliness, and unempathetic community). To confirm the hypothesis, we conducted a number of analyses of the English text of the novel \"1984\".</p><p><strong>Subjects and methods: </strong>Taking the full English text of \"1984\", we analyzed its fragments of first-person narrative, such as Winston's diary remarks and his speech during spoken communications as described in the novel. We then used the psycholinguistic method of clinical psycholinguistic analysis to analyze the text of Winston's diary from the perspective of psycholinguistic typology of literary texts based on emotional-semantic dominance as developed by the philologist Valery Belyanin (2000). The Belyanin method entailed placing a focus on the fragments of the first-person narratives representing descriptions of characters' emotions and feelings with subsequent determination of their type.</p><p><strong>Results: </strong>In the first diary excerpt, Winston's writing consists of short, exclamatory phrases. He repeatedly uses the first-person singular pronouns and self-referential sentences, with simple and complex sentence structures. Lexical repetition is high, and emotional vocabulary emphasizes defiance and apathy. The second excerpt is purely declarative and reasoning-focused. It contains minimal stylistic markers, with present-tense verbs, no personal pronouns, and no emotional or figurative language. Key themes revolve around existential values, mortality, truth, and defiance against oppression. There is a notable absence of hedonic, familial, or self-realization themes, reinforcing a limited semantic focus aligned with existential distress. Winston Smith exhibits classic dysthymic markers, such as pervasive self-criticism, preoccupation with mortality, emotional heaviness, repetitive confessional style, and an undercurrent of hopeless defiance.</p><p><strong>Conclusions: </strong>According to our psycholinguistic analysis of Winston Smiths' diary text and dialogues, his language reflects depressive processing of personal and life experiences, reduced semantic productivity, fragmented meanings, and an emotionally negative dominant tone. Application of the psycholinguistic diagnostic model for mild depression confirms that his diary entries exhibit pronounced markers of mild depression of the melancholic and astheno-hypodynamic types. This analysis affirms the psychological insight applied by the author in developing his characters.</p>","PeriodicalId":20760,"journal":{"name":"Psychiatria Danubina","volume":"37 Suppl 1","pages":"224-236"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145126079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MAPPING AFFECTIVE PROFILES IN DEPRESSION, BURNOUT, NORMAL SADNESS, AND EUTHYMIC STATE: A SELF-REPORT SCREENING TOOL DEVELOPED THROUGH A MACHINE LEARNING APPROACH. 绘制抑郁、倦怠、正常悲伤和宁静状态的情感概况:通过机器学习方法开发的自我报告筛选工具。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Danil Trofimov, Maria Zapriy, Anna Khomenko, Elena Sloeva, Igor Kotilevets, Daria Smirnova
<p><strong>Background: </strong>Modern post-industrial society is facing a complex of challenges, such as including epidemiological threats, high demands from employers, aggressive forms of corporations' management, stress at the work place, as well as geopolitical and economic instability worldwide. These factors bring a significant impact on mental health of the general population, contributing to an increased prevalence of mental disorders, particularly, affective states. The aim of this study was to develop a sensitive screening tool based on a self-questionnaire approach for accurate differentiation of affective spectrum state, from preclinical / at-risk to severe clinical conditions. To achieve this goal, we focused on identifying key affective symptoms' domains and application of machine learning (ML) methods to perform a comprehensive data analysis on classifying the respondents into preclinical and clinical subgroups.</p><p><strong>Subjects and methods: </strong>The study consisted of two stages. At the first stage, we developed and conducted an online survey among the experimental population consisting of university staff and students. This survey version included 19 questions. The study was interrupted to make adjustments. At the second stage, the survey was finalized based on data analysis (descriptive and inferential) and classification tasks. The revised survey was redistributed with additional criteria for inclusion and exclusion of the respondents applied to the study design. The final version contained 34 questions, excluding unreliable questions characterized by p > .05. 381 individuals (269 employees and 112 students) were interviewed, of whom 99 showed signs of depression, normal sadness or emotional burnout. We conducted correlation, descriptive, and inferential analyses and classification of respondents using ML-based methods.</p><p><strong>Results: </strong>The results confirmed the presence of significant differences (p < .001) between the groups with euthymia, normal sadness, emotional burnout and depression. However, there were no statistically significant differences for respondents with a pre-known emotional state and for respondents whose condition has been classified using machine learning technologies. The final distribution by category was as follows: euthymia - 38.8%, normal sadness - 27.3%, emotional burnout - 25.2%, depression - 8.7%. Our developed self-report tool has demonstrated statistical benefit, but requires further clinical research to clarify sensitive symptoms' domains for updating its items content.</p><p><strong>Conclusions: </strong>ML-based analysis of the self-report screening tool-related data demonstrated its sensitivity to classify affective states spectrum onto the separate states of depression, emotional burnout, normal sadness and euthymia (i.e. affective or emotional profiles of the respondents) with 100% accuracy at the final iteration. The problem of assessing mental health lies in the di
背景:现代后工业社会正面临着复杂的挑战,如流行病的威胁、雇主的高要求、激进的企业管理形式、工作场所的压力,以及全球地缘政治和经济的不稳定。这些因素对一般人群的心理健康产生重大影响,导致精神障碍,特别是情感状态的患病率上升。本研究的目的是开发一种基于自我问卷方法的敏感筛选工具,以准确区分从临床前/危险到严重临床状况的情感频谱状态。为了实现这一目标,我们专注于识别关键的情感症状域,并应用机器学习(ML)方法进行全面的数据分析,将受访者分为临床前和临床亚组。研究对象和方法:研究分为两个阶段。在第一阶段,我们在由大学教职员工和学生组成的实验人群中开发并进行了在线调查。这个调查版本包括19个问题。研究被中断以进行调整。在第二阶段,根据数据分析(描述性和推断性)和分类任务完成调查。重新分发修订后的调查问卷,并增加了纳入和排除研究设计中被调查者的标准。最终版本包含34个问题,不包括p >.05特征的不可靠问题。381人(269名员工和112名学生)接受了采访,其中99人表现出抑郁、正常悲伤或情绪倦怠的迹象。我们使用基于ml的方法对受访者进行了相关性、描述性和推断性分析和分类。结果:心境愉悦组、正常悲伤组、情绪倦怠组和抑郁组之间存在显著差异(p < 0.001)。然而,对于预先知道情绪状态的受访者和使用机器学习技术对其进行分类的受访者来说,没有统计学上的显著差异。最终分类分布如下:心境愉悦38.8%,正常悲伤27.3%,情绪倦怠25.2%,抑郁8.7%。我们开发的自我报告工具已显示出统计学上的益处,但需要进一步的临床研究来澄清敏感症状的领域,以更新其项目内容。结论:基于ml的自我报告筛选工具相关数据分析表明,在最终迭代时,其将情感状态谱分类为抑郁、情绪倦怠、正常悲伤和精神愉悦的独立状态(即受访者的情感或情绪特征)的敏感性为100%。评估心理健康的问题在于难以快速、准确和情感中立地确定个体受访者和人群的情感状态。开发敏感的自我问卷/筛选得益于临床评估与现代基于ml的算法的整合,以及有助于降低成本和提高现有心理测量工具诊断准确性的目标方法。
{"title":"MAPPING AFFECTIVE PROFILES IN DEPRESSION, BURNOUT, NORMAL SADNESS, AND EUTHYMIC STATE: A SELF-REPORT SCREENING TOOL DEVELOPED THROUGH A MACHINE LEARNING APPROACH.","authors":"Danil Trofimov, Maria Zapriy, Anna Khomenko, Elena Sloeva, Igor Kotilevets, Daria Smirnova","doi":"","DOIUrl":"","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Modern post-industrial society is facing a complex of challenges, such as including epidemiological threats, high demands from employers, aggressive forms of corporations' management, stress at the work place, as well as geopolitical and economic instability worldwide. These factors bring a significant impact on mental health of the general population, contributing to an increased prevalence of mental disorders, particularly, affective states. The aim of this study was to develop a sensitive screening tool based on a self-questionnaire approach for accurate differentiation of affective spectrum state, from preclinical / at-risk to severe clinical conditions. To achieve this goal, we focused on identifying key affective symptoms' domains and application of machine learning (ML) methods to perform a comprehensive data analysis on classifying the respondents into preclinical and clinical subgroups.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Subjects and methods: &lt;/strong&gt;The study consisted of two stages. At the first stage, we developed and conducted an online survey among the experimental population consisting of university staff and students. This survey version included 19 questions. The study was interrupted to make adjustments. At the second stage, the survey was finalized based on data analysis (descriptive and inferential) and classification tasks. The revised survey was redistributed with additional criteria for inclusion and exclusion of the respondents applied to the study design. The final version contained 34 questions, excluding unreliable questions characterized by p &gt; .05. 381 individuals (269 employees and 112 students) were interviewed, of whom 99 showed signs of depression, normal sadness or emotional burnout. We conducted correlation, descriptive, and inferential analyses and classification of respondents using ML-based methods.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The results confirmed the presence of significant differences (p &lt; .001) between the groups with euthymia, normal sadness, emotional burnout and depression. However, there were no statistically significant differences for respondents with a pre-known emotional state and for respondents whose condition has been classified using machine learning technologies. The final distribution by category was as follows: euthymia - 38.8%, normal sadness - 27.3%, emotional burnout - 25.2%, depression - 8.7%. Our developed self-report tool has demonstrated statistical benefit, but requires further clinical research to clarify sensitive symptoms' domains for updating its items content.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;ML-based analysis of the self-report screening tool-related data demonstrated its sensitivity to classify affective states spectrum onto the separate states of depression, emotional burnout, normal sadness and euthymia (i.e. affective or emotional profiles of the respondents) with 100% accuracy at the final iteration. The problem of assessing mental health lies in the di","PeriodicalId":20760,"journal":{"name":"Psychiatria Danubina","volume":"37 Suppl 1","pages":"237-259"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145125991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IMPLEMENTING A MEASUREMENT FEEDBACK SYSTEM IN AN ALCOHOL DETOXIFICATION UNIT: RATIONALE, CASE-BASED PRESENTATION AND PRELIMINARY FEASIBILITY DATA. 在酒精解毒单位实施测量反馈系统:原理,基于案例的介绍和初步可行性数据。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Claire Ledouble, Pierre Maurage, Nausica Germeau, Theodore Mystakelis, Mairi Athanasiadi, Peter Starkel, Philippe de Timary

Background: Measurement-Based Care, supported by Measurement Feedback Systems, is increasingly recommended to improve psychiatric care. Indeed, such approach offers valuable support for the development of precision medicine by enabling data-informed treatment grounded in collaboration between researchers, clinicians, and patients. However, its implementation in clinical settings remains limited.

Methods: We present a Measurement Feedback System integrated within a research protocol and implemented in a hospital detoxification unit for patients with Severe Alcohol Use Disorder. Capitalizing on the presentation of a clinical case and preliminary patient evaluations, we describe the benefits and limitations of such an approach.

Results: The findings highlight the high acceptability of the tool among patients and underscore the added value of incorporating a Measurement-Based Care framework into standard care in addictive disorders.

Conclusion: This approach facilitates precision medicine through rich patient phenotyping, enhances clinical reflection, and helps to bridge the research-practice gap.

背景:以测量为基础的护理,在测量反馈系统的支持下,越来越多地被推荐用于改善精神病学护理。事实上,这种方法通过在研究人员、临床医生和患者之间合作的基础上实现基于数据的治疗,为精准医学的发展提供了宝贵的支持。然而,它在临床环境中的实施仍然有限。方法:我们提出了一个测量反馈系统,集成在一个研究方案中,并在医院戒毒部门实施了严重酒精使用障碍患者。利用临床病例的介绍和初步的患者评估,我们描述了这种方法的好处和局限性。结果:研究结果强调了该工具在患者中的高度可接受性,并强调了将基于测量的护理框架纳入成瘾性疾病标准护理的附加价值。结论:该方法通过丰富的患者表型,促进精准医疗,增强临床反思,有助于弥合研究与实践的差距。
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引用次数: 0
BEYOND POST-TRAUMATIC STRESS DISORDER (PTSD): STATE OF THE ART ON PSYCHOLOGICAL DISORDERS IN WHICH EYE MOVEMENT DESENSITIZATION AND REPROCESSING (EMDR) CURRENTLY SHOWS CLINICAL EFFICACY. 超越创伤后应激障碍(ptsd):眼动脱敏与再加工(emdr)在心理障碍中的临床疗效研究现状。
4区 医学 Q2 Medicine Pub Date : 2025-09-01
Alessandro Lepri

Eye Movement Desensitization and Reprocessing (EMDR) was originally developed as a treatment for post-traumatic stress disorder (PTSD), but its applications have expanded significantly in recent years. This narrative review explores the current state of evidence for EMDR's clinical efficacy across a spectrum of psychological disorders beyond PTSD. We examine findings from randomized controlled trials, systematic reviews, and meta-analyses - including the comprehensive systematic review by Scelles and Bulnes (2021) - that assess EMDR's impact on anxiety disorders, depression, obsessive-compulsive disorder (OCD), somatic symptom disorders, pain, addiction, and personality disorders. While the mechanism of action remains debated, empirical evidence suggests EMDR can yield outcomes comparable to or superior to established psychotherapies in certain contexts. A critical discussion is offered regarding the methodological limitations in existing studies and the importance of integrating EMDR within broader evidence-based treatment frameworks.

眼动脱敏和再处理(EMDR)最初是作为创伤后应激障碍(PTSD)的治疗而发展起来的,但近年来其应用范围得到了显著扩展。这篇叙述性综述探讨了EMDR在创伤后应激障碍以外的一系列心理障碍中的临床疗效的证据现状。我们研究了随机对照试验、系统评价和荟萃分析的结果——包括Scelles和Bulnes(2021)的综合系统评价——评估了EMDR对焦虑症、抑郁症、强迫症(OCD)、躯体症状障碍、疼痛、成瘾和人格障碍的影响。虽然作用机制仍有争议,但经验证据表明,在某些情况下,EMDR可以产生与现有心理疗法相当或更好的结果。对现有研究的方法学局限性和将EMDR纳入更广泛的循证治疗框架的重要性进行了批判性讨论。
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引用次数: 0
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Psychiatria Danubina
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