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Climate change and mental health: A multinational study of climate-anxiety, coping, and psychosocial responses 气候变化与心理健康:气候焦虑、应对和心理社会反应的多国研究
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-20 DOI: 10.1016/j.ajp.2026.104859
Julio Torales , Iván Barrios , Antonio Ventriglio , João Mauricio Castaldelli-Maia , Myrna Lashley , Mike Campbell , Michael Liebrenz , Padmavati Ramachandran , Neil Krishan Aggarwal , Rowalt Alibudbud , Egor Chumakov , Joana Corrêa de Magalhães Narvaez , Afzal Javed , Dinesh Bhugra , Albert Persaud , on behalf of the World Psychiatric Association Special Interest Group on Geopsychiatry

Background

Climate change is an increasingly important determinant of global mental health, affecting emotional, cognitive, behavioral, and social functioning. The emergence of climate-anxiety and the unequal distribution of environmental risks highlight the need for cross-cultural evidence to inform equitable adaptation strategies.

Aim

To examine the psychological and functional impacts of climate change across diverse populations, focusing on climate-anxiety, emotional responses, coping strategies, and perceived psychosocial support within a geopsychiatry framework.

Methods

A multinational cross-sectional survey was conducted among 388 adults from 44 countries using the Hogg Climate Anxiety Scale (HCAS) and additional items on climate-related experiences, functional disruption, coping strategies, and access to essential resources. Data were analyzed using descriptive statistics, non-parametric tests, multiple linear regression, and thematic analysis of open-ended responses.

Results

Overall, 83.5 % of participants reported exposure to at least one extreme climate event in the past five years, most commonly heatwaves, floods, and severe storms. Climate anxiety differed by gender in affective symptoms, rumination, and personal impact anxiety (Kruskal–Wallis, p ≤ .007). Participants exposed to extreme events reported higher affective (p = .017), behavioral (p = .001), and personal impact anxiety (p = .045). The regression model explained 25 % of the variance in total HCAS scores (R² = 0.25, p < .001), with climate-related functional disruption as the strongest predictor.

Conclusions

Climate change is associated with substantial emotional and functional burden, particularly among vulnerable groups. Findings support integrating mental health screening and brief psychosocial interventions into climate adaptation policies, primary care, and community-based resilience programs.
气候变化是全球心理健康日益重要的决定因素,影响着情绪、认知、行为和社会功能。气候焦虑的出现和环境风险的不平等分布突出表明需要跨文化证据来为公平的适应战略提供信息。目的研究气候变化对不同人群的心理和功能影响,重点关注气候焦虑、情绪反应、应对策略和在地精神病学框架内感知的社会心理支持。方法采用霍格气候焦虑量表(HCAS)对来自44个国家的388名成年人进行了一项跨国横断面调查,并对气候相关经历、功能破坏、应对策略和基本资源的获取等附加项目进行了调查。数据分析采用描述性统计、非参数检验、多元线性回归和开放式回答的专题分析。结果总体而言,83.5% %的参与者报告在过去五年中至少经历过一次极端气候事件,最常见的是热浪、洪水和严重风暴。气候焦虑在情感症状、反刍和个人影响焦虑方面存在性别差异(Kruskal-Wallis, p ≤ .007)。暴露于极端事件的参与者报告了更高的情感(p = )。017),行为(p = 。001)和个人影响焦虑(p = .045)。回归模型解释了总HCAS评分方差的25% % (R²= 0.25,p <; )。001),与气候相关的功能破坏是最强的预测因子。结论气候变化与严重的情感和功能负担有关,特别是在弱势群体中。研究结果支持将心理健康筛查和简短的社会心理干预纳入气候适应政策、初级保健和基于社区的复原力规划。
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引用次数: 0
Leveraging digital innovation and indigenous knowledge: The next frontier for climate-mental health justice in Asia 利用数字创新和本土知识:亚洲气候心理健康正义的下一个前沿。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-17 DOI: 10.1016/j.ajp.2026.104858
Styo Mahendra Wasita Aji, Vivi Astuti Nurlaily, Mujahidin Farid, Nanda Veruna Enun Kharisma, Eva Amalia, Herti Prastitasari, Aldy Ferdiyansyah
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引用次数: 0
Network meta-analysis of the effects of digital interventions on social functioning in children with autism spectrum disorder 数字干预对自闭症谱系障碍儿童社会功能影响的网络meta分析
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-16 DOI: 10.1016/j.ajp.2026.104855
Meng Xuhui, Zhou Xue, Shi Yongbo, Nie Ying, Guo Lanmin

Objective

This study performed a network meta-analysis of randomized and matched controlled trials to evaluate the effects of digital interventions on social functioning in children with autism spectrum disorder (ASD), compare the relative efficacy across digital modalities, and generate evidence to inform clinical decision-making and future research.

Methods

Following PRISMA-NMA guidelines, we systematically searched PubMed, Embase, Web of Science, Cochrane CENTRAL, and CINAHL for randomized or matched controlled trials evaluating digital interventions in children with ASD. The primary outcome was social functioning, and the secondary outcome was the dropout rate.A frequentist random-effects network meta-analysis was performed. Surface under the cumulative ranking curve (SUCRA) values were used to rank the interventions, and the certainty of evidence was assessed using the CINeMA framework.

Results

Twenty trials involving 912 children with ASD were included in the analysis. The network meta-analysis indicated that all categories of digital interventions were generally well tolerated, with low dropout rates and no statistically significant differences between groups. For social functioning, computer-based intervention plus treatment as usual (CBI+TAU; SMD = 0.99, 95 % CI: –0.02 – 2.20), robot-based intervention plus treatment as usual (RBI+TAU; SMD = 0.72, 95 % CI: 0.15 – 1.30), and computer-based intervention (CBI; SMD = 0.84, 95 % CI: 0.44 – 1.24) demonstrated trends toward superiority over control conditions. CBI+TAU showed the largest point estimate and ranked highest in SUCRA; however, its effect estimate was imprecise and did not reach statistical significance. Although virtual reality-based interventions (VBI) and mobile-based interventions plus treatment as usual (MBI+TAU) ranked lower, both demonstrated meaningful clinical potential.

Conclusions

Digital interventions provide measurable benefits for improving social functioning in children with ASD and are generally well tolerated. CBI+TAU ranked highest in SUCRA; however, its effect estimate was imprecise and did not reach statistical significance, indicating substantial uncertainty. Therefore, SUCRA rankings should be interpreted as indicative of relative tendencies rather than definitive evidence of superiority. Despite limited direct evidence, VBI and MBI show considerable promise, particularly for home-based implementation. Clinically, CBI+TAU may be considered a promising option; however, its role as a core intervention should be interpreted cautiously until supported by larger, adequately powered trials. Other digital modalities, including RBI, MBI, and VBI, may serve as complementary components within multimodal intervention frameworks.
本研究对随机对照试验和匹配对照试验进行了网络荟萃分析,以评估数字干预对自闭症谱系障碍(ASD)儿童社会功能的影响,比较不同数字方式的相对疗效,并为临床决策和未来研究提供证据。方法遵循PRISMA-NMA指南,我们系统地检索PubMed、Embase、Web of Science、Cochrane CENTRAL和CINAHL,以评估ASD儿童数字干预的随机或匹配对照试验。主要结果是社会功能,次要结果是辍学率。进行了频率随机效应网络元分析。采用累积排序曲线下曲面(SUCRA)值对干预措施进行排序,并使用CINeMA框架评估证据的确定性。结果共纳入20项试验,涉及912名ASD儿童。网络荟萃分析表明,所有类别的数字干预通常都具有良好的耐受性,辍学率低,组间无统计学显著差异。对于社会功能,基于计算机的干预加常规治疗(CBI+TAU; SMD = 0.99, 95 % CI: - 0.02 - 2.20),基于机器人的干预加常规治疗(RBI+TAU; SMD = 0.72, 95 % CI: 0.15 - 1.30),以及基于计算机的干预(CBI; SMD = 0.84, 95 % CI: 0.44 - 1.24)显示出优于对照条件的趋势。CBI+TAU得分最大,在SUCRA中排名最高;然而,其效应估计不精确,未达到统计学意义。尽管基于虚拟现实的干预(VBI)和基于移动的干预加上常规治疗(MBI+TAU)排名较低,但两者都显示出有意义的临床潜力。结论数字干预对改善ASD儿童的社会功能有显著的益处,并且通常具有良好的耐受性。CBI+TAU在SUCRA中排名最高;然而,其效应估计不精确,未达到统计学显著性,表明存在很大的不确定性。因此,SUCRA排名应被解释为相对趋势的指示,而不是优势的明确证据。尽管直接证据有限,但VBI和MBI显示出相当大的前景,特别是在家庭实施方面。临床上,CBI+TAU可能被认为是一个有希望的选择;然而,其作为核心干预措施的作用应谨慎解读,直到得到更大规模、充分支持的试验的支持。其他数字模式,包括RBI、MBI和VBI,可以作为多模式干预框架内的补充组成部分。
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引用次数: 0
Re-evaluating the implementation of Indonesia’s adolescent mental health policy: A critical response to “Bridging Policy and Lived Realities” 重新评价印度尼西亚青少年心理健康政策的执行情况:对“衔接政策与现实生活”的关键回应
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-16 DOI: 10.1016/j.ajp.2026.104860
Ulfah, Kadek Suhardita, I. Wayan Widana, I. Made Suarta, Rikas Saputra
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引用次数: 0
Trichotillomania and skin picking disorder in Asian adults 亚洲成年人的拔毛癖和抠皮障碍
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-15 DOI: 10.1016/j.ajp.2026.104857
Megha Neelapu, Jon E. Grant
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引用次数: 0
Digital ecologies of despair: Understanding momentary triggers of suicidal ideation in youth through ecological momentary assessment 绝望的数字生态:通过生态瞬间评估了解青少年自杀意念的瞬间触发因素
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-15 DOI: 10.1016/j.ajp.2026.104856
Putu Ari Dharmayanti, Luh Putu Sri Lestari, Kadek Suhardita, Rikas Saputra, Erfan Ramadhani
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引用次数: 0
An adaptive machine learning framework integrating large language models to assess and enhance emotional intelligence in adolescents 一个集成大型语言模型的自适应机器学习框架,以评估和提高青少年的情绪智力
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-14 DOI: 10.1016/j.ajp.2026.104851
Iram Aziz, Shazia Arshad , Muhammad Awais Hussan

Background

Emotional intelligence (EI) is a critical determinant of children’s socio-emotional and neurocognitive development, and deficits in EI dimensions are associated with long-term psychological and behavioral risks. Existing interventions are often static, resource-intensive, and lack personalization, interpretability and reasoning beneath the suggestions. Scalable, explainable AI approaches may help to deliver individualized and effective EI-enhancing activities.

Methods

A total of 120 children (aged 3–16 years) were recruited from the Asian region with informed consent and PGRC ethical approval (CS-00411). EI was systematically assessed using the Strengths and Difficulties Questionnaire (SDQ) to identify weaker dimensions. A stacked ensemble machine learning framework then predicted suitable accurate EI-enhancing activities by incorporating child age, personal interests, and identified weak dimensions. Before generating the final recommendation, the system cross-checked highly rated activities from children with similar profiles to ensure relevance. The activity repository combined validated sources with expert-verified, LLM-generated activities, each mapped to underlying neurocognitive functions. SHAP explained predictive contributions, while LLMs translated outputs into family-friendly narratives. A reassessment module recalculated post-intervention EI scores and integrated parental feedback to dynamically refine subsequent recommendations.

Results

Children in the experimental group demonstrated significant improvement in EI scores (p < 0.001, d = 2.58), with empathy and self-regulation showing the largest gains. Parental satisfaction was also significantly higher (p < 0.001, d = 1.88). Weak EI dimension, Interest, and Age Group emerged as the most influential predictors of activity effectiveness.

Conclusion

This framework directly enhances children’s emotional intelligence while ensuring personalization, transparency, and neurocognitive relevance, offering a sustainable and scalable pathway for precision socio-emotional interventions with potential applications in neuropsychiatric prevention and care.
情绪智力(EI)是儿童社会情绪和神经认知发展的关键决定因素,情商维度的缺陷与长期的心理和行为风险有关。现有的干预措施往往是静态的、资源密集型的,并且缺乏个性化、可解释性和建议背后的推理。可扩展、可解释的人工智能方法可能有助于提供个性化和有效的人工智能增强活动。方法在知情同意和PGRC伦理批准(CS-00411)的情况下,从亚洲地区招募120名儿童(3-16岁)。采用优势与困难问卷(SDQ)对EI进行系统评估,以确定较弱的维度。然后,堆叠集成机器学习框架通过结合儿童年龄、个人兴趣和识别弱维度来预测合适的准确的ei增强活动。在产生最终建议之前,该系统对具有相似背景的儿童的高评价活动进行了交叉检查,以确保相关性。活动存储库将经过验证的资源与专家验证的llm生成的活动结合起来,每个活动都映射到潜在的神经认知功能。SHAP解释了预测贡献,而法学硕士将产出转化为家庭友好型叙事。一个重新评估模块重新计算干预后的EI得分,并整合家长反馈,以动态地完善后续建议。结果实验组儿童的情商得分有显著提高(p <; 0.001,d = 2.58),其中共情能力和自我调节能力的提高最大。父母满意度也显著提高(p <; 0.001,d = 1.88)。弱情商维度、兴趣和年龄组是影响活动有效性的最重要的预测因子。结论该框架在确保个性化、透明度和神经认知相关性的同时,直接提高了儿童的情绪智力,为精确的社会情绪干预提供了一条可持续和可扩展的途径,在神经精神疾病的预防和护理中具有潜在的应用前景。
{"title":"An adaptive machine learning framework integrating large language models to assess and enhance emotional intelligence in adolescents","authors":"Iram Aziz,&nbsp;Shazia Arshad ,&nbsp;Muhammad Awais Hussan","doi":"10.1016/j.ajp.2026.104851","DOIUrl":"10.1016/j.ajp.2026.104851","url":null,"abstract":"<div><h3>Background</h3><div>Emotional intelligence (EI) is a critical determinant of children’s socio-emotional and neurocognitive development, and deficits in EI dimensions are associated with long-term psychological and behavioral risks. Existing interventions are often static, resource-intensive, and lack personalization, interpretability and reasoning beneath the suggestions. Scalable, explainable AI approaches may help to deliver individualized and effective EI-enhancing activities.</div></div><div><h3>Methods</h3><div>A total of 120 children (aged 3–16 years) were recruited from the Asian region with informed consent and PGRC ethical approval (CS-00411). EI was systematically assessed using the Strengths and Difficulties Questionnaire (SDQ) to identify weaker dimensions. A stacked ensemble machine learning framework then predicted suitable accurate EI-enhancing activities by incorporating child age, personal interests, and identified weak dimensions. Before generating the final recommendation, the system cross-checked highly rated activities from children with similar profiles to ensure relevance. The activity repository combined validated sources with expert-verified, LLM-generated activities, each mapped to underlying neurocognitive functions. SHAP explained predictive contributions, while LLMs translated outputs into family-friendly narratives. A reassessment module recalculated post-intervention EI scores and integrated parental feedback to dynamically refine subsequent recommendations.</div></div><div><h3>Results</h3><div>Children in the experimental group demonstrated significant improvement in EI scores (p &lt; 0.001, d = 2.58), with empathy and self-regulation showing the largest gains. Parental satisfaction was also significantly higher (p &lt; 0.001, d = 1.88). Weak EI dimension, Interest, and Age Group emerged as the most influential predictors of activity effectiveness.</div></div><div><h3>Conclusion</h3><div>This framework directly enhances children’s emotional intelligence while ensuring personalization, transparency, and neurocognitive relevance, offering a sustainable and scalable pathway for precision socio-emotional interventions with potential applications in neuropsychiatric prevention and care.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104851"},"PeriodicalIF":4.5,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024139","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
Using network analysis to provide new insight of the relationship between childhood trauma, family environment and depressive symptoms in adolescents with major depressive disorder 运用网络分析方法探讨童年创伤、家庭环境与青少年重度抑郁障碍抑郁症状的关系
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-13 DOI: 10.1016/j.ajp.2026.104853
Xinyu Fang , Ruru Tang , Chaoran Wu , Hongyang Liu , Yaoyao Zhang , Wei Tang , Lingling Yuan , Renliang Cai , Yi Li , Xiangrong Zhang

Background

Ample evidence supported that childhood trauma and family environment are closely linked to adolescent depression. This study aimed to establish a network of childhood trauma, family environment and depressive symptoms among adolescents with major depressive disorder (MDD), and to identify the central and bridge symptoms in the network.

Methods

A total of 560 adolescents diagnosed with MDD were included in the present study. The Children's Depression Inventory (CDI), the Chinese version of the Childhood Trauma Questionnaire—Short Form (CTQ-SF), and the Family Environment Scale-Chinese Version (FES-CV) were evaluated. Network analysis based on these assessments was performed using R.

Results

A total of 140 non-zero edges in the network were revealed. Among them, 86 (61.4 %) of these edges spanned the communities, whilst 54 (38.6 %) were inside their respective communities. In the network, the emotional abuse (CTQ0), emotional neglect (CTQ3), family cohesion (FES0), family control (FES9), anhedonia (CDI0) and ineffectiveness (CDI3) were regarded as the most central symptoms. The nodes with the strongest bridge were CTQ3, CTQ0 and CDI3. The Network Comparison Test showed no significant differences in network structure invariance and global strength invariance between male and female adolescents and between younger and older adolescents.

Conclusion

The findings demonstrate that childhood trauma and family environment interacted with each other and were collectively associated with the depressive symptoms in adolescents with MDD. The findings provide a theoretical basis for targeted interventions to prevent and alleviate depression in adolescents.
大量证据表明,童年创伤和家庭环境与青少年抑郁症密切相关。本研究旨在建立青少年重度抑郁障碍(MDD)的童年创伤、家庭环境和抑郁症状的网络,并确定网络中的中心症状和桥梁症状。方法本研究共纳入560名诊断为重度抑郁症的青少年。采用儿童抑郁量表(CDI)、中文版儿童创伤简易问卷(CTQ-SF)和中文版家庭环境量表(FES-CV)进行评估。基于这些评估的网络分析使用R.ResultsA进行,共揭示了网络中的140个非零边。其中86条(61.4 %)跨群落,54条(38.6 %)在群落内。在网络中,情感虐待(CTQ0)、情感忽视(CTQ3)、家庭凝聚力(FES0)、家庭控制(FES9)、快感缺乏(CDI0)和无效(CDI3)被认为是最核心的症状。桥性最强的节点为CTQ3、CTQ0和CDI3。网络比较检验显示,男女青少年、低龄青少年和大龄青少年在网络结构不变性和整体强度不变性上均无显著差异。结论童年创伤与家庭环境相互作用,共同影响青少年MDD抑郁症状的发生。研究结果为针对性干预预防和缓解青少年抑郁提供了理论依据。
{"title":"Using network analysis to provide new insight of the relationship between childhood trauma, family environment and depressive symptoms in adolescents with major depressive disorder","authors":"Xinyu Fang ,&nbsp;Ruru Tang ,&nbsp;Chaoran Wu ,&nbsp;Hongyang Liu ,&nbsp;Yaoyao Zhang ,&nbsp;Wei Tang ,&nbsp;Lingling Yuan ,&nbsp;Renliang Cai ,&nbsp;Yi Li ,&nbsp;Xiangrong Zhang","doi":"10.1016/j.ajp.2026.104853","DOIUrl":"10.1016/j.ajp.2026.104853","url":null,"abstract":"<div><h3>Background</h3><div>Ample evidence supported that childhood trauma and family environment are closely linked to adolescent depression. This study aimed to establish a network of childhood trauma, family environment and depressive symptoms among adolescents with major depressive disorder (MDD), and to identify the central and bridge symptoms in the network.</div></div><div><h3>Methods</h3><div>A total of 560 adolescents diagnosed with MDD were included in the present study. The Children's Depression Inventory (CDI), the Chinese version of the Childhood Trauma Questionnaire—Short Form (CTQ-SF), and the Family Environment Scale-Chinese Version (FES-CV) were evaluated. Network analysis based on these assessments was performed using R.</div></div><div><h3>Results</h3><div>A total of 140 non-zero edges in the network were revealed. Among them, 86 (61.4 %) of these edges spanned the communities, whilst 54 (38.6 %) were inside their respective communities. In the network, the emotional abuse (CTQ0), emotional neglect (CTQ3), family cohesion (FES0), family control (FES9), anhedonia (CDI0) and ineffectiveness (CDI3) were regarded as the most central symptoms. The nodes with the strongest bridge were CTQ3, CTQ0 and CDI3. The Network Comparison Test showed no significant differences in network structure invariance and global strength invariance between male and female adolescents and between younger and older adolescents.</div></div><div><h3>Conclusion</h3><div>The findings demonstrate that childhood trauma and family environment interacted with each other and were collectively associated with the depressive symptoms in adolescents with MDD. The findings provide a theoretical basis for targeted interventions to prevent and alleviate depression in adolescents.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104853"},"PeriodicalIF":4.5,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975454","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
Translation, cultural adaptation, and validation of the Cebuano version of the Montreal Cognitive Assessment (MoCA) tool among patients with dementia 翻译,文化适应,并验证Cebuano版本的蒙特利尔认知评估(MoCA)工具在痴呆症患者中的应用
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-11 DOI: 10.1016/j.ajp.2026.104850
Alicia Rose T. Autentico , Gilbert Cabataña Jr , Clark Kendrick Go , Gerard Saranza

Background

The Montreal Cognitive Assessment (MoCA) is a validated tool for identifying mild cognitive impairment and early-stage dementia. Cebuano is the second-most-spoken language in the Philippines; however, there are no validated cognitive evaluation tools to detect early dementia among Cebuano speakers. This study aimed to translate, culturally adapt, and validate the MoCA for Cebuano-speaking patients.

Methods

The MoCA-Cebuano version was translated forward and reverse. The final version was administered to 51 Cebuano-speaking persons living with dementia (PLWD) and 47 healthy controls. Internal consistency was computed using Cronbach's alpha, and test-retest reliability was assessed using the intraclass correlation coefficient (ICC).

Results

The PLWD group was older than controls (70.4 ± 5.6 vs. 65.3 ± 5.7 years, p < 0.001), but groups were similar in female representation (35 vs. 28, p = 0.35) and years of formal education (11.8 ± 2.9 vs. 12.0 ± 3.5 years, p = 0.37). The mean MoCA-Cebuano score was significantly lower in the PLWD group (16.7 ± 3.8) than in controls (25.1 ± 2.1, p < 0.001). The MoCA-Cebuano demonstrated acceptable internal consistency (Cronbach's alpha 0.72 at baseline, 0.70 after 4–8 weeks) and high test-retest reliability (ICC=0.98, 95 % CI: 0.95–0.99, p < 0.001). The PLWD group showed marked difficulty in visuospatial/executive skills (2.4 + 1.3), language (0.9 + 0.7), attention (3.5 + 1.5), and delayed recall (1.4 + 1.6) subscale tests.

Conclusion and recommendations

The MoCA-Cebuano version is a valid and reliable tool for cognitive assessment in Cebuano-speaking populations and is recommended for clinical and research use.
蒙特利尔认知评估(MoCA)是识别轻度认知障碍和早期痴呆的有效工具。宿雾语是菲律宾第二大语言;然而,目前还没有经过验证的认知评估工具来检测宿诺语使用者的早期痴呆。本研究的目的是翻译,文化适应,并验证语患者的MoCA。方法对MoCA-Cebuano版本进行正反翻译。最后的版本对51名患有痴呆症(PLWD)的讲cebuano语的人和47名健康对照者进行了管理。使用Cronbach's alpha计算内部一致性,使用类内相关系数(ICC)评估重测信度。ResultsThe PLWD组比控制(70.4 ± 5.6 vs 65.3 ± 5.7年,p & lt; 0.001),但组相似的女性代表(p = 35与28日 0.35)和年的正规教育(11.8 ± 2.9 vs 12.0 ± 3.5年,p = 0.37)。PLWD组MoCA-Cebuano平均评分(16.7 ± 3.8)明显低于对照组(25.1 ± 2.1,p <; 0.001)。MoCA-Cebuano显示出可接受的内部一致性(基线时的Cronbach's alpha为0.72,4-8周后为0.70)和高重测信度(ICC=0.98, 95 % CI: 0.95-0.99, p <; 0.001)。PLWD组在视觉空间/执行技能(2.4 + 1.3)、语言(0.9 + 0.7)、注意力(3.5 + 1.5)和延迟回忆(1.4 + 1.6)子量表测试中表现出明显的困难。结论和建议MoCA-Cebuano版本是一种有效和可靠的cebuano语言人群认知评估工具,推荐用于临床和研究。
{"title":"Translation, cultural adaptation, and validation of the Cebuano version of the Montreal Cognitive Assessment (MoCA) tool among patients with dementia","authors":"Alicia Rose T. Autentico ,&nbsp;Gilbert Cabataña Jr ,&nbsp;Clark Kendrick Go ,&nbsp;Gerard Saranza","doi":"10.1016/j.ajp.2026.104850","DOIUrl":"10.1016/j.ajp.2026.104850","url":null,"abstract":"<div><h3>Background</h3><div>The Montreal Cognitive Assessment (MoCA) is a validated tool for identifying mild cognitive impairment and early-stage dementia. Cebuano is the second-most-spoken language in the Philippines; however, there are no validated cognitive evaluation tools to detect early dementia among Cebuano speakers. This study aimed to translate, culturally adapt, and validate the MoCA for Cebuano-speaking patients.</div></div><div><h3>Methods</h3><div>The MoCA-Cebuano version was translated forward and reverse. The final version was administered to 51 Cebuano-speaking persons living with dementia (PLWD) and 47 healthy controls. Internal consistency was computed using Cronbach's alpha, and test-retest reliability was assessed using the intraclass correlation coefficient (ICC).</div></div><div><h3>Results</h3><div>The PLWD group was older than controls (70.4 ± 5.6 vs. 65.3 ± 5.7 years, p &lt; 0.001), but groups were similar in female representation (35 vs. 28, p = 0.35) and years of formal education (11.8 ± 2.9 vs. 12.0 ± 3.5 years, p = 0.37). The mean MoCA-Cebuano score was significantly lower in the PLWD group (16.7 ± 3.8) than in controls (25.1 ± 2.1, p &lt; 0.001). The MoCA-Cebuano demonstrated acceptable internal consistency (Cronbach's alpha 0.72 at baseline, 0.70 after 4–8 weeks) and high test-retest reliability (ICC=0.98, 95 % CI: 0.95–0.99, p &lt; 0.001). The PLWD group showed marked difficulty in visuospatial/executive skills (2.4 <u>+</u> 1.3), language (0.9 <u>+</u> 0.7), attention (3.5 <u>+</u> 1.5), and delayed recall (1.4 <u>+</u> 1.6) subscale tests.</div></div><div><h3>Conclusion and recommendations</h3><div>The MoCA-Cebuano version is a valid and reliable tool for cognitive assessment in Cebuano-speaking populations and is recommended for clinical and research use.</div></div>","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104850"},"PeriodicalIF":4.5,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975456","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
PrecInNor: An Indo-Norway collaborative programme for precision psychiatry training PrecInNor:印度-挪威精确精神病学培训合作项目。
IF 4.5 4区 医学 Q1 PSYCHIATRY Pub Date : 2026-01-10 DOI: 10.1016/j.ajp.2026.104852
Satish Suhas, Pravesh Parekh, Vanteemar S Sreeraj, Biju Viswanath, Srdjan Djurovic, Oleksandr Frei, Alexey A. Shadrin, Olav Bjerkehagen Smeland, Torill Ueland, Christine Lycke Brandt, Elisabeth Strand Vigtel, Reeteka Sud, Meera Purushottam, Ajay Kumar, M. Manjula, Anita Mahadevan, Ganesan Venkatasubramanian, Paulomi Matam Sudhir, John P. John, Ole A. Andreassen
{"title":"PrecInNor: An Indo-Norway collaborative programme for precision psychiatry training","authors":"Satish Suhas,&nbsp;Pravesh Parekh,&nbsp;Vanteemar S Sreeraj,&nbsp;Biju Viswanath,&nbsp;Srdjan Djurovic,&nbsp;Oleksandr Frei,&nbsp;Alexey A. Shadrin,&nbsp;Olav Bjerkehagen Smeland,&nbsp;Torill Ueland,&nbsp;Christine Lycke Brandt,&nbsp;Elisabeth Strand Vigtel,&nbsp;Reeteka Sud,&nbsp;Meera Purushottam,&nbsp;Ajay Kumar,&nbsp;M. Manjula,&nbsp;Anita Mahadevan,&nbsp;Ganesan Venkatasubramanian,&nbsp;Paulomi Matam Sudhir,&nbsp;John P. John,&nbsp;Ole A. Andreassen","doi":"10.1016/j.ajp.2026.104852","DOIUrl":"10.1016/j.ajp.2026.104852","url":null,"abstract":"","PeriodicalId":8543,"journal":{"name":"Asian journal of psychiatry","volume":"117 ","pages":"Article 104852"},"PeriodicalIF":4.5,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146008665","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
期刊
Asian journal of psychiatry
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