Background: Though integrating psychiatric care into primary care is thought to be a pivotal step, a huge gap remains in translating this training into clinical practice at primary health centers (PHCs) in India. To address this, we aim to explore the perspectives of the primary care doctors (PCDs) from an implementation research angle.
Methods: An anonymous online survey with a semi-structured questionnaire gathered PCDs' perspectives on integrating primary care psychiatry training into India's healthcare system, focusing on Acceptability, Adoption, Appropriateness, and Feasibility subsets based on the conceptual framework for implementation outcomes. The survey reached 7,200 PCDs via a pan-India mental health capacity-building program, with 124 PCDs from 5 states participating. A 134 PCDs completed the Fidelity questionnaire. PCDs were grouped by mental health training status for comparative analysis. A mixed-method analysis was conducted on the data.
Results: Overall, PCDs reported high ratings across the subsets of Acceptability (91.1%-91.9%), Feasibility (75.8%-91.9%), Adoption (87.9%-93.5%), and Appropriateness (89.5%-92.7%). Clinical practice outcomes in terms of Fidelity (33.6%-52.2%) remained limited. Mental health training was significantly linked to increased comfort in managing mental health issues at PHCs (Acceptability subset, χ² = 4.79, p = .02), a greater readiness to start screening for mental health disorders (Adoption subset, χ² = 4.73 p = .03) and increased prescription practice at PHC for mental health disorders (Fidelity subset, χ² = 4.01, p = .04). Qualitative data analysis identified barriers such as stigma, time constraints, limited access to medications, staff shortages, and inadequate follow-up systems that hindered effective integration of mental health care at PHCs.
Conclusions: Though psychiatry training of PCDs improves resource availability, addressing systemic challenges is essential for ensuring effective mental health service delivery at the primary care level.
{"title":"Barriers and Facilitators for Translating Skills into Clinical Practice in Primary Psychiatry Care: Primary Care Doctors' Survey Through the Lens of Implementation Research.","authors":"Hetashri Shah, Ranjitha Ramachandraiah, Chandana Sabbella, Sourabh Joshi, Prakyath Ravindranath Hegde, Rahul Patley, Sivakami Sundari S, Jagadisha Thirthalli, Narayana Manjunatha, Channaveerachari Naveen Kumar, Suresh Bada Math","doi":"10.1177/02537176251369080","DOIUrl":"10.1177/02537176251369080","url":null,"abstract":"<p><strong>Background: </strong>Though integrating psychiatric care into primary care is thought to be a pivotal step, a huge gap remains in translating this training into clinical practice at primary health centers (PHCs) in India. To address this, we aim to explore the perspectives of the primary care doctors (PCDs) from an implementation research angle.</p><p><strong>Methods: </strong>An anonymous online survey with a semi-structured questionnaire gathered PCDs' perspectives on integrating primary care psychiatry training into India's healthcare system, focusing on Acceptability, Adoption, Appropriateness, and Feasibility subsets based on the conceptual framework for implementation outcomes. The survey reached 7,200 PCDs via a pan-India mental health capacity-building program, with 124 PCDs from 5 states participating. A 134 PCDs completed the Fidelity questionnaire. PCDs were grouped by mental health training status for comparative analysis. A mixed-method analysis was conducted on the data.</p><p><strong>Results: </strong>Overall, PCDs reported high ratings across the subsets of Acceptability (91.1%-91.9%), Feasibility (75.8%-91.9%), Adoption (87.9%-93.5%), and Appropriateness (89.5%-92.7%). Clinical practice outcomes in terms of Fidelity (33.6%-52.2%) remained limited. Mental health training was significantly linked to increased comfort in managing mental health issues at PHCs (Acceptability subset, χ² = 4.79, <i>p</i> = .02), a greater readiness to start screening for mental health disorders (Adoption subset, χ² = 4.73 <i>p</i> = .03) and increased prescription practice at PHC for mental health disorders (Fidelity subset, χ² = 4.01, <i>p</i> = .04). Qualitative data analysis identified barriers such as stigma, time constraints, limited access to medications, staff shortages, and inadequate follow-up systems that hindered effective integration of mental health care at PHCs.</p><p><strong>Conclusions: </strong>Though psychiatry training of PCDs improves resource availability, addressing systemic challenges is essential for ensuring effective mental health service delivery at the primary care level.</p>","PeriodicalId":13476,"journal":{"name":"Indian Journal of Psychological Medicine","volume":" ","pages":"02537176251369080"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12405208/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145000428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: India has made significant strides in digital mental health capacity building over the past decade. This pan-India initiative was implemented through National Institute of Mental Health and Neurosciences (NIMHANS) to enhance the delivery of primary mental healthcare by digitally training medical officers (MOs), community health officers (CHOs), and field-level workers (FLWs) of India.
Methods: Between October 2022 and June 2024, the program engaged MOs, CHOs, and FLWs of Karnataka, Maharashtra, Telangana, Uttarakhand, Bihar, Goa, Kerala, and West Bengal in a standardized six-week-district-wise digital training module curated to identify and manage commonly prevalent psychiatric disorders in primary care settings. Onsite training was conducted for participants in Tripura and Telangana. Participant engagement and changes in knowledge, attitude, and practice (KAP) scores were analyzed for each cadre along with ongoing support through real-time collaborative video consultations (CVCs).
Results: The program engaged 42,192 participants (7248 MOs, 18,993 CHOs, and 15,951 FLWs) across nine Indian states. Overall, participants attending ≥50% of training revealed higher engagement in CHOs of Bihar (80.51%), followed by MOs of Goa (69.7%), followed by FLWs of West Bengal (64.57%). Paired t-test analysis of KAP scores showed post-training statistically significant (p < .05) improvement for MOs of Karnataka, Maharashtra, Telangana (onsite), and Goa; CHOs of Karnataka, Maharashtra, Telangana (onsite), Tripura (onsite) and Bihar; and FLWs of Karnataka, West Bengal, and Kerala. A total of 1,320 CVCs were conducted, assisting the management of psychiatric disorders in the community.
Conclusion: Digital capacity building is a viable, scalable, and practical approach for mental health training of frontline workers to improve their clinical KAP.
{"title":"A Pan India Digitally Driven Capacity Building Program to Strengthen Primary Mental Healthcare: Summary of Its Implementation and Performance Evaluation.","authors":"Hetashri Shah, Gajanan Ganapati Sabhahit, Rahul Patley, Prakyath Ravindranath Hegde, Sivakami Sundari S, Narayana Manjunatha, Channaveerachari Naveen Kumar, Suresh Bada Math","doi":"10.1177/02537176251358469","DOIUrl":"https://doi.org/10.1177/02537176251358469","url":null,"abstract":"<p><strong>Background: </strong>India has made significant strides in digital mental health capacity building over the past decade. This pan-India initiative was implemented through National Institute of Mental Health and Neurosciences (NIMHANS) to enhance the delivery of primary mental healthcare by digitally training medical officers (MOs), community health officers (CHOs), and field-level workers (FLWs) of India.</p><p><strong>Methods: </strong>Between October 2022 and June 2024, the program engaged MOs, CHOs, and FLWs of Karnataka, Maharashtra, Telangana, Uttarakhand, Bihar, Goa, Kerala, and West Bengal in a standardized six-week-district-wise digital training module curated to identify and manage commonly prevalent psychiatric disorders in primary care settings. Onsite training was conducted for participants in Tripura and Telangana. Participant engagement and changes in knowledge, attitude, and practice (KAP) scores were analyzed for each cadre along with ongoing support through real-time collaborative video consultations (CVCs).</p><p><strong>Results: </strong>The program engaged 42,192 participants (7248 MOs, 18,993 CHOs, and 15,951 FLWs) across nine Indian states. Overall, participants attending ≥50% of training revealed higher engagement in CHOs of Bihar (80.51%), followed by MOs of Goa (69.7%), followed by FLWs of West Bengal (64.57%). Paired <i>t</i>-test analysis of KAP scores showed post-training statistically significant (<i>p</i> < .05) improvement for MOs of Karnataka, Maharashtra, Telangana (onsite), and Goa; CHOs of Karnataka, Maharashtra, Telangana (onsite), Tripura (onsite) and Bihar; and FLWs of Karnataka, West Bengal, and Kerala. A total of 1,320 CVCs were conducted, assisting the management of psychiatric disorders in the community.</p><p><strong>Conclusion: </strong>Digital capacity building is a viable, scalable, and practical approach for mental health training of frontline workers to improve their clinical KAP.</p>","PeriodicalId":13476,"journal":{"name":"Indian Journal of Psychological Medicine","volume":" ","pages":"02537176251358469"},"PeriodicalIF":2.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12378120/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144952521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-18eCollection Date: 2025-09-01DOI: 10.1177/02537176251364927
Christopher Rockson, Chandrashekaran Girish, Harivenkatesh Natarajan, Vikas Menon
{"title":"Reply to the Comments on \"A Cross-sectional Trait Versus State Biomarker Analysis of Inflammatory Cytokines and miRNAs in Patients with Major Depressive Disorder\".","authors":"Christopher Rockson, Chandrashekaran Girish, Harivenkatesh Natarajan, Vikas Menon","doi":"10.1177/02537176251364927","DOIUrl":"10.1177/02537176251364927","url":null,"abstract":"","PeriodicalId":13476,"journal":{"name":"Indian Journal of Psychological Medicine","volume":" ","pages":"530-531"},"PeriodicalIF":2.0,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361178/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144952620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-17eCollection Date: 2025-09-01DOI: 10.1177/02537176251364926
Santhini Ajay, Sristi Lakshmi, Sai Krishna Tikka
{"title":"Comments on \"A Cross-sectional Trait Versus State Biomarker Analysis of Inflammatory Cytokines and miRNAs in Patients with Major Depressive Disorder\".","authors":"Santhini Ajay, Sristi Lakshmi, Sai Krishna Tikka","doi":"10.1177/02537176251364926","DOIUrl":"10.1177/02537176251364926","url":null,"abstract":"","PeriodicalId":13476,"journal":{"name":"Indian Journal of Psychological Medicine","volume":" ","pages":"529-530"},"PeriodicalIF":2.0,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361180/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144952484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-15DOI: 10.1177/02537176251365813
Debanjan Banerjee
{"title":"Managing Impulsivity and Substance Abuse in an Adolescent with Attention-deficit Hyperactivity Disorder: Potential for Endoxifen Therapy.","authors":"Debanjan Banerjee","doi":"10.1177/02537176251365813","DOIUrl":"10.1177/02537176251365813","url":null,"abstract":"","PeriodicalId":13476,"journal":{"name":"Indian Journal of Psychological Medicine","volume":" ","pages":"02537176251365813"},"PeriodicalIF":2.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357824/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Multiple challenges, including limited technical knowledge, privacy concerns, or financial constraints to afford a smartphone, limit the introduction and implementation of a mobile application-based intervention aimed at supporting medication adherence for people with schizophrenia (SZ) in a low-resource setting. Recognising these barriers, this study aimed to explore the perceived acceptability of a mobile application specifically designed to improve medication adherence among individuals with SZ and their caregivers (CG).
Methods: A total of 64 individuals diagnosed with SZ, who had been in remission for the past six months, and 36 CG, attending the outpatient psychiatry department of a tertiary care teaching institution, were recruited based on predefined selection criteria. The SZ and CG participants were interviewed separately using an adapted version of the Treatment Acceptability and Preference Scale (TAPS), which assessed their perceptions of the appropriateness, suitability, effectiveness, and willingness to use a mobile application. TAPS was administered immediately after describing the proposed features and potential utility of the mobile application designed to improve medication adherence.
Results: There were no significant differences in demographic characteristics between SZ and CG, except that CG were significantly more likely to be employed than individuals with SZ (p = .02). Comparison of TAPS scores between the two groups revealed no significant difference in perceptions regarding the acceptability of the mobile application. However, a greater proportion of CG (63.9%) compared to individuals with SZ (56.25%) considered the mobile application to be appropriate. Correlation analysis indicated that younger age (p = .004) and higher levels of education (p = .01) were significantly associated with higher TAPS scores.
Conclusion: The mobile application was generally acceptable to patients and CG, with younger and more educated participants showing higher acceptability.
{"title":"Exploring the Perceived Acceptability of a Proposed Mobile Application Designed to Improve Medication Adherence Among People with Schizophrenia and Their Caregivers.","authors":"Nimmy Chandran, Ram Pratap Beniwal, Anamika Sahu, Mary Hawk, Aparna Rajanbabu, Smita Deshpande","doi":"10.1177/02537176251361710","DOIUrl":"10.1177/02537176251361710","url":null,"abstract":"<p><strong>Background: </strong>Multiple challenges, including limited technical knowledge, privacy concerns, or financial constraints to afford a smartphone, limit the introduction and implementation of a mobile application-based intervention aimed at supporting medication adherence for people with schizophrenia (SZ) in a low-resource setting. Recognising these barriers, this study aimed to explore the perceived acceptability of a mobile application specifically designed to improve medication adherence among individuals with SZ and their caregivers (CG).</p><p><strong>Methods: </strong>A total of 64 individuals diagnosed with SZ, who had been in remission for the past six months, and 36 CG, attending the outpatient psychiatry department of a tertiary care teaching institution, were recruited based on predefined selection criteria. The SZ and CG participants were interviewed separately using an adapted version of the Treatment Acceptability and Preference Scale (TAPS), which assessed their perceptions of the appropriateness, suitability, effectiveness, and willingness to use a mobile application. TAPS was administered immediately after describing the proposed features and potential utility of the mobile application designed to improve medication adherence.</p><p><strong>Results: </strong>There were no significant differences in demographic characteristics between SZ and CG, except that CG were significantly more likely to be employed than individuals with SZ (<i>p</i> = .02). Comparison of TAPS scores between the two groups revealed no significant difference in perceptions regarding the acceptability of the mobile application. However, a greater proportion of CG (63.9%) compared to individuals with SZ (56.25%) considered the mobile application to be appropriate. Correlation analysis indicated that younger age (<i>p</i> = .004) and higher levels of education (<i>p</i> = .01) were significantly associated with higher TAPS scores.</p><p><strong>Conclusion: </strong>The mobile application was generally acceptable to patients and CG, with younger and more educated participants showing higher acceptability.</p>","PeriodicalId":13476,"journal":{"name":"Indian Journal of Psychological Medicine","volume":" ","pages":"02537176251361710"},"PeriodicalIF":2.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357838/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-15DOI: 10.1177/02537176251358098
Shahul Ameen, Aleesha Sanish, Jerin Babu, Dony Thomas Thundathil, Mincy M Thomas, Baby Louismary, Leju Joseph Thekkekalam
Background: Adolescent boys with addictive behaviours often have comorbidities. India has scarce free short-term rehabilitation facilities for them. The Ministry of Social Justice funds one centre per state. In our centre in Kerala state, a low budget allowed full-time treatment staff of two counsellors and two nurses only. A yoga therapist, a clinical psychologist, and a psychiatrist visit part-time. This study aimed to develop a comprehensive care model within such staff constraints.
Methods: We collected screening and assessment tools from child psychiatry clinics and through a literature search. We chose activities and worksheets from adolescent-specific workbooks on therapeutic (e.g., motivational enhancement, mindfulness) and positive psychology (e.g., managing emotions or relations) techniques. The psychiatrist trained the counsellors in their application.
Results: We utilised pre-available Malayalam (the local vernacular) versions of the Alcohol, Smoking, and Substance Involvement Screening Test and Strengths and Difficulties Questionnaire. We translated and content-validated DBD Rating Scale, Teen Addiction Severity Index, and Adolescent Smoking Consequences Questionnaire. From 11 workbooks, we chose 123 activities, considering patient needs and cultural relevance, and translated 17 worksheets. Counsellors found the CBT Toolbox for Children and Adolescents the most useful workbook. Of the 49 inpatients from the past year, 41 had dual diagnoses, the commonest being conduct-dissocial disorder. Chart review revealed that 46 patients found the activities comprehensible and acceptable. Frequent staff change was a challenge.
Conclusions: We developed an adaptive, low-cost, feasible, and acceptable care model for addictive behaviours and common comorbidities. Its acceptability and effectiveness need to be evaluated in larger, more diverse samples.
{"title":"Addictive Behaviours in Adolescent Boys: Developing A Low-Cost Care Model in India.","authors":"Shahul Ameen, Aleesha Sanish, Jerin Babu, Dony Thomas Thundathil, Mincy M Thomas, Baby Louismary, Leju Joseph Thekkekalam","doi":"10.1177/02537176251358098","DOIUrl":"10.1177/02537176251358098","url":null,"abstract":"<p><strong>Background: </strong>Adolescent boys with addictive behaviours often have comorbidities. India has scarce free short-term rehabilitation facilities for them. The Ministry of Social Justice funds one centre per state. In our centre in Kerala state, a low budget allowed full-time treatment staff of two counsellors and two nurses only. A yoga therapist, a clinical psychologist, and a psychiatrist visit part-time. This study aimed to develop a comprehensive care model within such staff constraints.</p><p><strong>Methods: </strong>We collected screening and assessment tools from child psychiatry clinics and through a literature search. We chose activities and worksheets from adolescent-specific workbooks on therapeutic (e.g., motivational enhancement, mindfulness) and positive psychology (e.g., managing emotions or relations) techniques. The psychiatrist trained the counsellors in their application.</p><p><strong>Results: </strong>We utilised pre-available Malayalam (the local vernacular) versions of the Alcohol, Smoking, and Substance Involvement Screening Test and Strengths and Difficulties Questionnaire. We translated and content-validated DBD Rating Scale, Teen Addiction Severity Index, and Adolescent Smoking Consequences Questionnaire. From 11 workbooks, we chose 123 activities, considering patient needs and cultural relevance, and translated 17 worksheets. Counsellors found the <i>CBT Toolbox for Children and Adolescents</i> the most useful workbook. Of the 49 inpatients from the past year, 41 had dual diagnoses, the commonest being conduct-dissocial disorder. Chart review revealed that 46 patients found the activities comprehensible and acceptable. Frequent staff change was a challenge.</p><p><strong>Conclusions: </strong>We developed an adaptive, low-cost, feasible, and acceptable care model for addictive behaviours and common comorbidities. Its acceptability and effectiveness need to be evaluated in larger, more diverse samples.</p>","PeriodicalId":13476,"journal":{"name":"Indian Journal of Psychological Medicine","volume":" ","pages":"02537176251358098"},"PeriodicalIF":2.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357839/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-15DOI: 10.1177/02537176251360933
Vittal Korann, Umesh Thonse, Arpitha Jacob, Priyanka Devi, Ananth Padmanabha, Samir Kumar Praharaj, Rose Dawn Bharath, Vijay Kumar, Shivarama Varambally, Ganesan Venkatasubramanian, Naren P Rao
Background: Many studies suggest that urban upbringing might increase the risk of developing schizophrenia (SCZ). However, the precise brain changes associated with urban upbringing remain poorly understood. In this study, we investigated how urban upbringing might influence cortical gyrification, a brain feature that reflects early structural development.
Methods: The study included 70 Healthy Controls (HC) and 87 individuals diagnosed with SCZ, all aged between 18 and 50 years. Participants and their caregivers were interviewed to collect information about birthplace and upbringing location. Based on data from the Indian Census (1971-2011), upbringing locations were categorized into three groups: rural, town, and city. An urbanicity index was calculated using a previously established method. Brain anatomical MRI images were processed using FreeSurfer. Regression analysis was conducted using the QDEC interface, with the gyrification index (GI) as the dependent variable, and urbanicity index, sex, and age as predictors.
Results: In the entire sample, a significant positive association was observed between the urbanicity index and the GI in the left supramarginal gyrus (BA40; p = .001), left rostral middle frontal gyrus (BA10; p < .001), and both the left and right lateral occipital gyri (BA18; p = .001). Additionally, a significant interaction effect between the diagnosis and urbanicity index was found in multiple brain regions.
Conclusions: These findings suggest that urban living has a significant influence on brain development. Identifying such risk factors and underlying mechanisms could help develop prevention strategies and guide improvements in urban planning.
背景:许多研究表明,城市环境可能会增加患精神分裂症(SCZ)的风险。然而,与城市教育有关的确切的大脑变化仍然知之甚少。在这项研究中,我们调查了城市教育如何影响皮质回旋,这是一种反映早期结构发育的大脑特征。方法:本研究纳入70名健康对照(HC)和87名确诊为SCZ的个体,年龄均在18 - 50岁之间。参与者和他们的照顾者接受了采访,以收集有关出生地和成长地点的信息。根据印度人口普查(1971-2011)的数据,养育地点分为三组:农村、城镇和城市。城市化指数使用先前建立的方法计算。使用FreeSurfer处理脑解剖MRI图像。采用QDEC界面进行回归分析,以城市化指数(GI)为因变量,城市化指数、性别和年龄为预测因子。结果:在整个样本中,左侧边缘上回(BA40, p = .001)、左侧吻侧额中回(BA10, p < .001)和左右枕侧回(BA18, p = .001)的城市化指数与GI呈显著正相关。此外,在多个脑区发现诊断与城市化指数之间存在显著的交互作用。结论:这些发现表明城市生活对大脑发育有显著影响。确定这些风险因素和潜在机制有助于制定预防战略和指导城市规划的改进。
{"title":"Association Between Urban Upbringing and Cortical Gyrification in Persons with Schizophrenia.","authors":"Vittal Korann, Umesh Thonse, Arpitha Jacob, Priyanka Devi, Ananth Padmanabha, Samir Kumar Praharaj, Rose Dawn Bharath, Vijay Kumar, Shivarama Varambally, Ganesan Venkatasubramanian, Naren P Rao","doi":"10.1177/02537176251360933","DOIUrl":"10.1177/02537176251360933","url":null,"abstract":"<p><strong>Background: </strong>Many studies suggest that urban upbringing might increase the risk of developing schizophrenia (SCZ). However, the precise brain changes associated with urban upbringing remain poorly understood. In this study, we investigated how urban upbringing might influence cortical gyrification, a brain feature that reflects early structural development.</p><p><strong>Methods: </strong>The study included 70 Healthy Controls (HC) and 87 individuals diagnosed with SCZ, all aged between 18 and 50 years. Participants and their caregivers were interviewed to collect information about birthplace and upbringing location. Based on data from the Indian Census (1971-2011), upbringing locations were categorized into three groups: rural, town, and city. An urbanicity index was calculated using a previously established method. Brain anatomical MRI images were processed using FreeSurfer. Regression analysis was conducted using the QDEC interface, with the gyrification index (GI) as the dependent variable, and urbanicity index, sex, and age as predictors.</p><p><strong>Results: </strong>In the entire sample, a significant positive association was observed between the urbanicity index and the GI in the left supramarginal gyrus (BA40; <i>p</i> = .001), left rostral middle frontal gyrus (BA10; <i>p</i> < .001), and both the left and right lateral occipital gyri (BA18; <i>p</i> = .001). Additionally, a significant interaction effect between the diagnosis and urbanicity index was found in multiple brain regions.</p><p><strong>Conclusions: </strong>These findings suggest that urban living has a significant influence on brain development. Identifying such risk factors and underlying mechanisms could help develop prevention strategies and guide improvements in urban planning.</p>","PeriodicalId":13476,"journal":{"name":"Indian Journal of Psychological Medicine","volume":" ","pages":"02537176251360933"},"PeriodicalIF":2.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357842/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}