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Addressing the paradox of help-seeking reluctance among mental health professionals 解决心理健康专业人员不愿寻求帮助的矛盾
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104819
Mohsen Khosravi
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引用次数: 0
Hemodialysis dramatically alleviates treatment-refractory psychosis in a subject with schizoaffective disorder 血液透析可显著缓解精神分裂情感障碍患者的难治性精神病
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104813
Yun-An Liu, Yi-Chyan Chen
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引用次数: 0
The long-term clinical and functional outcomes of psychiatric patients with catatonia: A 5-year follow-up 精神紧张症患者的长期临床和功能结局:5年随访。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-29 DOI: 10.1016/j.ajp.2025.104818
Qi-Hang Zhang , Tian Han , Xiao-Xiao He , Mathangie Gananathan , Xiao-Lin Yin , Hao-Tian Shen , Fuchun Zhou , Chuan-Yue Wang

Objective

This study aimed to compare the long-term clinical and functional outcomes between psychiatric patients with and without catatonia over a 5-year follow-up and to explore the baseline predictors of poor outcomes.

Methods

The study sample comprised 51 with catatonic and 56 non-catatonic psychiatric patients. Catatonia was assessed using the Bush-Francis Catatonia Rating Scale (BFCRS). We also determined serum high-sensitivity C-reactive protein (hs-CRP) levels at the baseline, recorded clinical outcomes during follow-up, and assessed the Global Assessment of Functioning (GAF) scale at endpoint.

Results

Follow-up data were available for 31 catatonic patients and 34 non-catatonia patients. During follow-up, the catatonic group had a significantly higher percentage of treatment-resistant cases compared to the non-catatonic group (25.8 % vs. 5.9 %). Catatonic patients had significantly more readmissions than non-catatonic patients after excluding patients with poor adherence. At the endpoint, patients in the catatonic group scored significantly lower on the GAF than those in the non-catatonic group. In the catatonic group, patients with high inflammatory levels had a significantly higher number of readmissions than those with low inflammatory levels. In the whole sample, multiple linear regression analyses revealed that baseline BFCRS scores were a significant and independent predictor of poor functional outcome at follow-up (Beta = −0.369, P = 0.002, 95 % CI: −0.008 to −0.002).

Conclusion

Findings suggest that catatonia is linked to poorer clinical outcomes and a lower level of functioning. Specifically, baseline high inflammatory levels seem to contribute to a higher relapse rate in catatonic patients.
目的:本研究旨在比较有和无紧张症的精神病患者在5年随访期间的长期临床和功能结局,并探讨不良结局的基线预测因素。方法:研究对象为51例紧张性精神病患者和56例非紧张性精神病患者。使用Bush-Francis紧张症评定量表(BFCRS)评定紧张症。我们还在基线时测定了血清高敏c反应蛋白(hs-CRP)水平,在随访期间记录了临床结果,并在终点时评估了全球功能评估(GAF)量表。结果:31例紧张症患者随访,34例非紧张症患者随访。在随访期间,与非紧张症组相比,紧张症组治疗耐药病例的百分比明显更高(25.8 %对5.9 %)。排除依从性差的患者后,紧张性患者的再入院率明显高于非紧张性患者。在终点,紧张性精神分裂症患者的GAF得分明显低于非紧张性精神分裂症患者。在紧张症组中,炎症水平高的患者再入院次数明显高于炎症水平低的患者。在整个样本中,多元线性回归分析显示,基线BFCRS评分是随访时功能预后不良的重要独立预测因子(Beta = -0.369, P = 0.002,95 % CI: -0.008至-0.002)。结论:研究结果表明,紧张症与较差的临床结果和较低的功能水平有关。具体而言,基线高炎症水平似乎有助于紧张性精神分裂症患者的复发率更高。
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引用次数: 0
Are social robots more interesting than humans? Quantitative assessment of Joint Attention in autistic and typically developing children 社交机器人比人类更有趣吗?自闭症儿童和正常发育儿童联合注意的定量评估。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-24 DOI: 10.1016/j.ajp.2025.104796
Silvia Annunziata , Gabriele Fassina , Michelle Brivio , Laura Santos , Emilia Ambrosini , Paolo Meriggi , Paola Molina , Alessandra Pedrocchi , Anna Cavallini

Introduction

Autism Spectrum Disorder (ASD) is characterized by deficits in social interaction and communication, including joint attention (JA) impairment. This observational case-control study explores quantitative JA metrics in ASD preschool-aged children and typically-developing (TD) toddlers, interacting with both a human agent and a social robot.

Material and methods

Ten ASD and sixteen Typically Developing (TD) children, matched for developmental age, participated completing two JA tasks of the “Échelle par la Communication Sociale Precoce”(ECSP)-Gaze Following and Object Spectacle-administered by both a human (ECSP-H) and a social robot NAO (ECSP-R). A Kinect Azure Camera was used to track children's gaze and five performance indicators were defined to quantify JA-related behaviors: Number of Responses to JA, Time Latency to response and Fixation Time, both towards robot and human agent.

Results

Significant group differences emerged in responsiveness to social cues, particularly in the Gaze Following task. TD children responded more consistently to human prompts (p = 0.01) and showed greater visual interest in the human agent in both ECSP-H (p < 0.01) and ECSP-R (p = 0.02) conditions. In contrast, percentage of fixations on the robot was comparable across groups.

Discussion

This study introduces unobtrusive, gaze-based quantitative measures to assess joint attention in ASD. Significant differences between ASD and TD groups suggest that children with ASD exhibited greater attentional preference to the robot agent, giving potential for these metrics in distinguishing attentional patterns in these two populations. This feature may nonetheless be clinically relevant, as it may be leveraged to facilitate attention, promote participation, and support robot-assisted therapeutic interventions.
自闭症谱系障碍(Autism Spectrum Disorder, ASD)以社会互动和沟通缺陷为特征,包括共同注意缺陷(joint attention, JA)。这项观察性病例对照研究探讨了ASD学龄前儿童和典型发育(TD)幼儿与人类代理人和社交机器人互动的定量JA指标。材料和方法:10名ASD儿童和16名正常发育儿童(TD),符合发育年龄,参与完成“Échelle par la Communication social Precoce”(ECSP)的两个JA任务-凝视跟随和物体观察-由人类(ECSP- h)和社交机器人NAO (ECSP- r)管理。使用Kinect Azure摄像头跟踪儿童的目光,并定义了五个性能指标来量化与JA相关的行为:对JA的反应次数,反应的时间延迟和注视时间,包括机器人和人类代理。结果:在对社会线索的反应上出现了显著的组间差异,特别是在凝视跟随任务中。TD儿童对人类提示的反应更一致(p = 0.01),并且在ECSP-H中对人类媒介表现出更大的视觉兴趣(p )。讨论:本研究引入了不引人注目的、基于凝视的定量测量来评估ASD的联合注意力。ASD和TD组之间的显著差异表明,ASD儿童对机器人代理表现出更大的注意力偏好,这为区分这两个人群的注意力模式提供了这些指标的潜力。尽管如此,这一特征可能具有临床相关性,因为它可以用来促进注意力,促进参与,并支持机器人辅助的治疗干预。
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引用次数: 0
A new approach in autism diagnosis: Evaluating natural interaction using point of view (POV) glasses 自闭症诊断的新方法:用视点(POV)眼镜评估自然互动
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-23 DOI: 10.1016/j.ajp.2025.104798
Hakan Kayış , Murat Çelik , Çınar Gedizlioğlu , Elif Kayış , Cumhur Aydemir , Arda Hatipoğlu , Seda Sarı , Nurhak Dogan , Elif Mumcu , Rabia Arı , Burcu Özbaran
This study introduces an AI-assisted method based on examiner-worn Point of View (POV) glasses and computer vision analysis to provide objective behavioral data for the diagnosis of Autism Spectrum Disorder (ASD). The study included 29 children with ASD and 27 children without ASD, aged between 17 and 36 months. During semi-structured naturalistic interactions, the examiner wore POV glasses equipped with a scene camera that captured the child’s face from an eye-level perspective, preserving ecological validity. Behavioral parameters—including facial expressions, approximate social gaze (operationalized as the child’s eyes orientation toward the POV camera), and head mobility—were extracted using OpenFace and MediaPipe and subsequently analyzed with machine learning techniques. Statistical analyses revealed that total social gaze duration, longest social gaze, social smiling, number of responses to name, response latency, response duration, social responsiveness, and head movements along the z-axis had p-values ≤ 0.05, while head movements on the x- and y-axes, total head movement, and rapid head movements had p-values > 0.05. The classification model developed using decision trees and the AdaBoost algorithm demonstrated high performance, achieving an accuracy of 91.07 % and a sensitivity of 89.65 %. These findings support the clinical applicability of examiner-worn POV recordings for early ASD detection and highlight their potential to complement traditional, subjective assessment methods.
本研究介绍一种基于考官佩戴的视点眼镜(POV)和计算机视觉分析的人工智能辅助方法,为自闭症谱系障碍(ASD)的诊断提供客观的行为数据。该研究包括29名自闭症儿童和27名非自闭症儿童,年龄在17至36个月之间。在半结构化的自然互动中,考官戴着配备现场摄像机的POV眼镜,从眼睛的角度捕捉孩子的脸,保持生态有效性。使用OpenFace和MediaPipe提取行为参数,包括面部表情、近似的社会凝视(以儿童的眼睛朝向POV摄像机进行操作)和头部移动,随后使用机器学习技术进行分析。统计分析显示,总社会凝视时间、最长社会凝视时间、社会微笑、对姓名的反应次数、反应潜伏期、反应持续时间、社会反应性和头部沿z轴运动的p值≤ 0.05,而头部沿x轴和y轴运动、总头部运动和头部快速运动的p值为>; 0.05。采用决策树和AdaBoost算法建立的分类模型表现出较高的性能,准确率为91.07 %,灵敏度为89.65 %。这些发现支持了检查员佩戴的POV记录在早期ASD检测中的临床适用性,并强调了它们补充传统主观评估方法的潜力。
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引用次数: 0
Pre-treatment brain morphology predicts symptom-specific outcomes in paediatric emotional disorders 治疗前脑形态学预测儿童情绪障碍的症状特异性结果
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-19 DOI: 10.1016/j.ajp.2025.104797
Chengrong Hua , Wenjing Liu , Zhen Liu , Changminghao Ma , Zhishan Hu , Yue Ding , Kelun Yaoma , Jiayi Song , Yang Sun , Fang Zhang , Yue Liu , Yi Huang , Yingying Tang , Xiaochen Zhang , Wenhong Cheng

Background

Depressive and anxiety disorders commonly co-occur in paediatric patients, but treatment response varies widely. Brain morphometric features may provide prognostic markers for symptom-specific outcomes and guide personalised interventions. This study examined whether pre-treatment brain morphology predicts improvement after inpatient treatment in adolescents with emotional disorders.

Methods

Adolescents with major depressive disorder and/or anxiety disorders admitted to a specialised psychiatric hospital underwent magnetic resonance imaging (MRI) before comprehensive inpatient treatment, including pharmacotherapy and psychotherapy (approximately 4–6 weeks, n = 66). Treatment response was assessed by percentage reductions in the Children’s Depression Inventory (CDI) and Screen for Child Anxiety Related Emotional Disorders (SCARED) total scores. Backward stepwise regression was performed separately for depressive and anxiety symptom improvement, focusing on predefined morphometric features associated with depressive or anxiety disorder derived from prior large-scale neuroanatomical findings.

Results

Among 66 adolescents, significant reductions in CDI and SCARED scores were observed over inpatient treatment. Regression analyses showed that larger pre-treatment surface area of the right postcentral gyrus was associated with greater improvement in depressive symptoms (slope=0.022; 95 % CI, 0.004–0.040; β=0.319; p = 0.016; n = 57), while smaller surface area of the left temporal pole (slope=–0.179; 95 % CI, –0.314 to –0.044; β=–0.304; p = 0.010; n = 64) and larger surface` area of the right frontal pole (slope=0.245; 95 % CI, 0.013–0.477; β=0.238; p = 0.039; n = 64) was associated with greater improvement in anxiety symptoms.

Conclusion

Pre-treatment morphometric features may serve as distinct neuroanatomical markers predicting symptom-specific response to inpatient treatment in paediatric emotional disorders, supporting the role of brain-based biomarkers in improving therapeutic outcomes.
背景:抑郁症和焦虑症通常在儿科患者中同时发生,但治疗反应差异很大。脑形态特征可以为症状特异性结果提供预后标记,并指导个性化干预。本研究探讨治疗前脑形态是否能预测青少年情绪障碍住院治疗后的改善。方法:在接受包括药物治疗和心理治疗在内的综合住院治疗(约4-6周,n = 66)之前,对患有重度抑郁症和/或焦虑症的青少年进行核磁共振成像(MRI)检查。通过儿童抑郁量表(CDI)和儿童焦虑相关情绪障碍筛查(SCARED)总分的百分比降低来评估治疗效果。对抑郁和焦虑症状的改善分别进行了反向逐步回归,重点关注与抑郁或焦虑障碍相关的预先定义的形态学特征,这些特征来源于先前的大规模神经解剖学发现。结果66例青少年住院治疗后CDI和SCARED评分显著降低。回归分析表明,大预处理对中央后回的表面积与更大的改善抑郁症状(斜率= 0.022;95 % CI, 0.004 - -0.040,β= 0.319;p = 0.016;n = 57),而较小的表面积左颞极(斜率= -0.179;95 % CI, -0.314 - -0.044,β= -0.304;p = 0.010;n = 64)和较大的表面区域的右额叶杆(斜率= 0.245;95 % CI, 0.013 - -0.477,β= 0.238;p = 0.039;N = 64)与焦虑症状的更大改善相关。结论治疗前形态学特征可作为预测儿童情绪障碍住院治疗症状特异性反应的独特神经解剖学标志物,支持基于脑的生物标志物在改善治疗结果中的作用。
{"title":"Pre-treatment brain morphology predicts symptom-specific outcomes in paediatric emotional disorders","authors":"Chengrong Hua ,&nbsp;Wenjing Liu ,&nbsp;Zhen Liu ,&nbsp;Changminghao Ma ,&nbsp;Zhishan Hu ,&nbsp;Yue Ding ,&nbsp;Kelun Yaoma ,&nbsp;Jiayi Song ,&nbsp;Yang Sun ,&nbsp;Fang Zhang ,&nbsp;Yue Liu ,&nbsp;Yi Huang ,&nbsp;Yingying Tang ,&nbsp;Xiaochen Zhang ,&nbsp;Wenhong Cheng","doi":"10.1016/j.ajp.2025.104797","DOIUrl":"10.1016/j.ajp.2025.104797","url":null,"abstract":"<div><h3>Background</h3><div>Depressive and anxiety disorders commonly co-occur in paediatric patients, but treatment response varies widely. Brain morphometric features may provide prognostic markers for symptom-specific outcomes and guide personalised interventions. This study examined whether pre-treatment brain morphology predicts improvement after inpatient treatment in adolescents with emotional disorders.</div></div><div><h3>Methods</h3><div>Adolescents with major depressive disorder and/or anxiety disorders admitted to a specialised psychiatric hospital underwent magnetic resonance imaging (MRI) before comprehensive inpatient treatment, including pharmacotherapy and psychotherapy (approximately 4–6 weeks, n = 66). Treatment response was assessed by percentage reductions in the Children’s Depression Inventory (CDI) and Screen for Child Anxiety Related Emotional Disorders (SCARED) total scores. Backward stepwise regression was performed separately for depressive and anxiety symptom improvement, focusing on predefined morphometric features associated with depressive or anxiety disorder derived from prior large-scale neuroanatomical findings.</div></div><div><h3>Results</h3><div>Among 66 adolescents, significant reductions in CDI and SCARED scores were observed over inpatient treatment. Regression analyses showed that larger pre-treatment surface area of the right postcentral gyrus was associated with greater improvement in depressive symptoms (slope=0.022; 95 % CI, 0.004–0.040; β=0.319; p = 0.016; n = 57), while smaller surface area of the left temporal pole (slope=–0.179; 95 % CI, –0.314 to –0.044; β=–0.304; p = 0.010; n = 64) and larger surface` area of the right frontal pole (slope=0.245; 95 % CI, 0.013–0.477; β=0.238; p = 0.039; n = 64) was associated with greater improvement in anxiety symptoms.</div></div><div><h3>Conclusion</h3><div>Pre-treatment morphometric features may serve as distinct neuroanatomical markers predicting symptom-specific response to inpatient treatment in paediatric emotional disorders, supporting the role of brain-based biomarkers in improving therapeutic outcomes.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"116 ","pages":"Article 104797"},"PeriodicalIF":4.5,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145814181","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
Amalgamating artificial intelligence & neuropsychiatry: Multimodal approach for precision diagnosis 人工智能与神经精神病学的融合:精确诊断的多模式方法。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-19 DOI: 10.1016/j.ajp.2025.104795
Mugdha Tendulkar , Reshma Tendulkar
Human body is an intricate system of complex associations between numerous chemicals, neurotransmitters incessantly striving towards homeostasis. This process is so tightly regulated that these processes quickly reverse the alterations caused due to any insults suffered by the organism; when these repeatedly attack the organism’s system, they culminate as diseases. Brain being the hub of such complex interplay, is the most vulnerable site for such imbalances. As per 2021 World Health Organisation Report, over 3 billion of the global population live with a neuropsychiatric ailment. Owing to the extremely limited options for diagnosis in neuropsychiatry, it is tedious to arrive at a definitive diagnosis early. Normally, diagnosis of neuropsychiatric disorders like autism spectrum disorder, generalized anxiety disorders, obsessive compulsive disorder, schizophrenia etc. demands persistence of symptoms for over 6 months with no body fluid test to appropriately quantify the diagnosis, it demands the need for a novel approach for bridging this significant gap. With the ever-advancing technological era, the advent of artificial intelligence has revolutionized the medical paradigm. Integration of such multimodal neuroimaging databases, algorithms, techniques has made individualized diagnosis & treatment of neuropsychiatric disorders plausible. Considering the colossal data revolving around artificial intelligence neuroimaging, particularly address disease-specific challenges & rarely collate how multimodal frameworks amalgamate neurology & psychiatric disorders. In addition, no prior literature systematically compares biomarker-rich & scare diseases & emphasizes the challenges faced by artificial intelligence among these groups. This review bridges this research gap by presenting an integrated, comprehensible manuscript which links multimodal networks of supervised, unsupervised, reinforcement learning models across the whole of neuropsychiatric spectrum. The novelty of this manuscript lies in highlighting the transdiagnostic perspectives of multimodal approaches of neuroimaging which are artificial intelligence-driven. This aids in filling the gaps between psychiatric & neurological disorders thereby practically focussing on the blueprint towards precision diagnostic models- an entirely understudied aspect in previous literatures. The primary aim of this manuscript is to explore the fusion between the multimodal approach of artificial intelligence & neuropsychiatric diagnosis, their implications, and challenges faced in this integration. We meticulously analyze the applications of artificial intelligence in precision medicine in the field of neuropsychiatry to ensure timely diagnosis and prevent complications, to improve patients’cost of living, prognosis as well as future directions of this amalgamation.
人体是一个复杂的系统,由众多化学物质、神经递质之间的复杂联系组成,不断努力实现体内平衡。这个过程受到严格的调控,这些过程很快就会逆转由于生物体遭受的任何侮辱而引起的变化;当这些物质反复攻击生物体的系统时,它们就会以疾病的形式达到顶峰。大脑作为这种复杂相互作用的中心,是这种不平衡最脆弱的地方。根据2021年世界卫生组织的报告,全球有超过30亿人患有神经精神疾病。由于神经精神病学诊断的选择极其有限,早期做出明确的诊断是乏味的。通常,诊断神经精神障碍,如自闭症谱系障碍、广泛性焦虑症、强迫症、精神分裂症等,需要症状持续超过6个月,而没有体液测试来适当量化诊断,这需要一种新的方法来弥合这一重大差距。随着科技时代的不断进步,人工智能的出现彻底改变了医学范式。这些多模式神经影像数据库、算法和技术的整合使得神经精神疾病的个体化诊断和治疗成为可能。考虑到围绕人工智能神经成像的巨大数据,特别是针对特定疾病的挑战,很少整理多模式框架如何合并神经病学和精神疾病。此外,先前没有文献系统地比较生物标志物丰富的疾病和恐吓疾病,并强调人工智能在这些群体中面临的挑战。这篇综述通过呈现一个集成的、可理解的手稿来弥合这一研究差距,该手稿将整个神经精神病学谱系中有监督的、无监督的、强化学习模型的多模态网络联系起来。该手稿的新颖之处在于强调人工智能驱动的神经影像学多模式方法的跨诊断观点。这有助于填补精神和神经疾病之间的空白,从而实际关注精确诊断模型的蓝图-这是以前文献中完全未充分研究的方面。本文的主要目的是探讨人工智能和神经精神诊断的多模态方法之间的融合,它们的含义,以及在这种整合中面临的挑战。我们精心分析人工智能在精准医学在神经精神病学领域的应用,以确保及时诊断和预防并发症,改善患者的生活成本,预后以及这种融合的未来方向。
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引用次数: 0
A systematic review of social media impact on psychological well-being among children, adolescents, and young adults in arab countries 社交媒体对阿拉伯国家儿童、青少年和年轻人心理健康影响的系统综述。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-08 DOI: 10.1016/j.ajp.2025.104793
Amani N. Alansari , Abdallah Alwawi , Amani Salim , Nizar Tarawah , Amine Ksia , Mohamed Sayed Zaazouee

Background

Social media is a major part of daily life for youth worldwide, including in Arab countries. Although it offers avenues for connection and information, growing concerns exist around its psychological impacts. This review aims to synthesize existing evidence on the association between social media use and mental health outcomes among children, adolescents, and young adults in Arab countries.

Methods

We systematically searched PubMed, Scopus, EMBASE, and Web of Science for peer-reviewed studies published until October 2025. Inclusion criteria targeted observational studies involving participants aged ≤ 25 years from Arab League countries, focusing on the relationship between social media use and mental health indicators. Data were extracted and quality assessed using the Newcastle-Ottawa Scale adaptation for cross-sectional designs.

Results

Twenty-one cross-sectional studies, encompassing over 15,000 participants with a mean age ranging from 13 to 25 years and representing multiple Arab countries, met the inclusion criteria. Findings revealed consistent associations between high or problematic social media use and adverse mental health outcomes, including anxiety, depression, sleep disturbances, and academic decline. Several studies highlighted emotional investment and nighttime use as key mediators. Sleep disruption and academic interference were common outcomes across settings.

Conclusion

High levels of emotionally charged social media use among Arab children, adolescents, and young adults are associated with significant psychological and functional challenges, emphasizing the need for culturally tailored digital literacy and early screening. However, the predominance of cross-sectional designs across the included studies limits causal inference and underscores the necessity for future longitudinal and experimental research.
背景:社交媒体是包括阿拉伯国家在内的世界各地年轻人日常生活的重要组成部分。虽然它提供了联系和信息的途径,但人们越来越担心它对心理的影响。本综述旨在综合阿拉伯国家儿童、青少年和年轻人使用社交媒体与心理健康结果之间关系的现有证据。方法:我们系统地检索PubMed、Scopus、EMBASE和Web of Science,检索截至2025年10月发表的同行评议研究。纳入标准的目标是观察性研究,涉及来自阿拉伯联盟国家年龄≤ 25岁的参与者,重点关注社交媒体使用与心理健康指标之间的关系。数据提取和质量评估使用纽卡斯尔-渥太华量表适应横断面设计。结果:21项横断面研究符合纳入标准,包括超过15,000名参与者,平均年龄在13至25岁之间,代表多个阿拉伯国家。研究结果显示,高度或有问题的社交媒体使用与不良心理健康结果(包括焦虑、抑郁、睡眠障碍和学习成绩下降)之间存在一致的关联。几项研究强调了情感投入和夜间使用是关键的中介。睡眠中断和学业干扰是各种环境中常见的结果。结论:在阿拉伯儿童、青少年和年轻人中,高度情绪化的社交媒体使用与重大的心理和功能挑战有关,强调需要根据文化量身定制数字素养和早期筛查。然而,在纳入的研究中,横断面设计的优势限制了因果推理,并强调了未来纵向和实验研究的必要性。
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引用次数: 0
Prolonged intermittent theta burst stimulation as an alternative to standard rTMS: Real-world data from patients with non-psychotic major depression 延长间歇性θ波爆发刺激作为标准rTMS的替代方案:来自非精神病性重度抑郁症患者的真实世界数据
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-07 DOI: 10.1016/j.ajp.2025.104794
Cheng-Ta Li , Chih-Ming Cheng , Hui-Ching Lin , Jia-Shyun Jeng , Tung-Ping Su , Daniel M. Blumberger

Background

While standard repetitive transcranial magnetic stimulation (rTMS) requires 20–30 sessions when treating patients with major depressive disorders (MDD), subthreshold prolonged intermittent theta burst stimulation (piTBS) may yield comparable effects in fewer visits—critical for self-paid treatment settings. piTBS has been reported to result in antidepressant response in as few as 10 sessions. However, most of them used small to moderate sample sizes.

Methods

We conducted a retrospective cohort study to examine the antidepressant effects of left prefrontal piTBS in clinical scenarios and to compare responses between piTBS and 10 Hz rTMS in patients who completed their treatments at distinct sessions in a large medical center. A total of 273 adult non-psychotic MDD patients were included in the analysis (120 piTBS and 153 rTMS). Patients received treatment in a private pay model on a daily basis and were encouraged to undergo at least 10–15 sessions, with the option of extending to 20 or more if a clinically meaningful response was not achieved.

Results

There were no significant differences in age, sex distribution, or baseline clinical variables between groups. Antidepressant effects were also comparable (piTBS vs. rTMS, responders= 49.2 % vs. 39.9 %; remitters= 34.2 % vs. 29.4 %). Notably, the piTBS group had a significantly lower stimulation intensity than the rTMS group (p < 0.001) and required fewer total sessions (12.4 ± 3.3 vs. 14.5 ± 5.9)(p = 0.001). The piTBS group reported less local pain. Using piTBS treatment may yield a savings of US$750 to US$3000 per treatment course, which is a 25–66.7 % reduction in medical expenses.

Conclusion

In a real-world private pay model, subthreshold piTBS achieved comparable antidepressant effects to 10 Hz rTMS and resulted in cost and travel savings for patients.
标准的重复经颅磁刺激(rTMS)治疗重度抑郁症(MDD)患者需要20-30次疗程,而阈下延长间歇性θ波爆发刺激(piTBS)可能在较少的就诊次数中产生类似的效果,这对于自费治疗设置至关重要。据报道,piTBS在短短10个疗程内就能产生抗抑郁反应。然而,他们中的大多数使用小到中等样本量。方法我们进行了一项回顾性队列研究,以检验临床情况下左前额叶piTBS的抗抑郁作用,并比较在大型医疗中心完成不同疗程治疗的患者的piTBS和10 Hz rTMS的反应。共有273名成年非精神病性重度抑郁症患者纳入分析(120名piTBS和153名rTMS)。患者每天以私人付费模式接受治疗,并鼓励进行至少10-15次 疗程,如果没有达到临床有意义的反应,可以选择延长至20次或更多。结果两组患者在年龄、性别分布、基线临床变量等方面均无显著差异。抗抑郁效果也具有可比性(piTBS与rTMS,应答者= 49.2 %对39.9 %;缓解者= 34.2 %对29.4 %)。值得注意的是,piTBS组的刺激强度明显低于rTMS组(p <; 0.001),并且所需的总次数更少(12.4 ± 3.3 vs. 14.5 ± 5.9)(p = 0.001)。piTBS组报告的局部疼痛较少。使用piTBS治疗每个疗程可节省750至3000美元,医疗费用减少25-66.7 %。在现实世界的私人付费模型中,阈下piTBS与10 Hz rTMS的抗抑郁效果相当,并为患者节省了费用和旅费。
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引用次数: 0
Troubled teens and their fathers: The need to explore overlooked connections in mentalization literature 问题少年和他们的父亲:探索心理化文学中被忽视的联系的需要。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2025-11-28 DOI: 10.1016/j.ajp.2025.104792
Arushee Wahi, Bangalore N. Roopesh, John Vijay Sagar Kommu
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引用次数: 0
期刊
Asian journal of psychiatry
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