SOLITAIRE – Digital Interventions for Social Isolation in Youths and Their Families

SOLITAIRE – Digital Interventions for Social Isolation in Youths and Their Families Overview This repository is part of the project "SOLITAIRE - Digital Interventions for Social Isolation in Youths and Their Families", funded by the European Union – Next Generation EU – NRRP M6C2 – Investment 2.1 Enhancement and Strengthening of Biomedical Research within the Italian National Health Service (SSN). Project code: PNRR-MAD-2022-12376834CUP: E33C22001020006Principal Investigator: Marcella Bellani SOLITAIRE is a multicenter research project aimed at developing, implementing, and evaluating innovative digital interventions for adolescents and young adults experiencing moderate-to-severe social isolation, as well as for their family members. The project integrates clinical psychiatry, developmental neuropsychiatry, cognitive neuroscience, machine learning, and translational neuroscience approaches. UO1 – Coordinating CenterPsychiatry Unit, Azienda Ospedaliera Universitaria Integrata Verona (Italy)Principal Investigator: Marcella Bellani UO2Unit for Severe Disabilities in Developmental Age and Young Adulthood, IRCCS Eugenio Medea, Apulia Scientific Center, Brindisi (Italy)Responsible Investigator: Isabella Fanizza UO3Department of Computer Science and Department of Pathophysiology and Transplantation, University of Milan (Italy)Responsible Investigator: Antonella delle Fave UO4Institute of Neuroscience, National Research Council (CNR), Milan (Italy)Responsible Investigator: Fabrizia GuarnieriThe SOLITAIRE Group: Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy & Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy: Marcella Bellani, Maria Gloria Rossetti, Cinzia Perlini, Francesca Girelli, Niccolò Zovetti, Maria Diletta Buio; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy: Paolo Brambilla, Cinzia Bressi, Antonella delle Fave, Virginia Pupi; CNR Institute of Neuroscience, Vedano al Lambro, Italy: Fabrizia Guarnieri, Edoardo Moretto; Department of Computer Science, University of Milan, Milan, Italy: Roberto Sassi, Maria Renata Guarneri, Stavros Ntalampiras, Samara Soares Leal; Unit for Severe Disabilities in Developmental Age and Young Adults, Associazione La Nostra Famiglia - IRCCS E. Medea, Scientific Hospital for Neurorehabilitation, Brindisi, Italy: Isabella Fanizza, Lara Scialpi, Giorgia Carlucci, Mariangela Leucci; Scientific Institute IRCCS Eugenio Medea, Scientific Direction, Bosisio Parini, Lecco, Italy: Antonio Trabacca. Repository contents This repository contains the anonymized dataset, metadata, and Stata code associated with the publication by Rossetti et al. (2025). How to cite If you use this resource, please cite both the associated publication and this Zenodo record. Associated publication Rossetti, M. G., Girelli, F., Zovetti, N., Fanizza, I., delle Fave, A., Guarnieri, F. C., Brambilla, P., Trabacca, A., & Bellani, M. (2025). Social Isolation in Youth: A Public Health Challenge and the Emerging Role of Telepsychotherapy. In Loneliness – The Ultimate Suffering in Modern Society. IntechOpen. https://doi.org/10.5772/intechopen.1013387 Zenodo record Rossetti, M. G., Girelli, F., Zovetti, N., Fanizza, I., delle Fave, A., Guarnieri, F. C., Brambilla, P., Trabacca, A., & Bellani, M. (2026). SOLITAIRE – Adults CBT Telepsychotherapy Dataset and Analysis Code. Zenodo. DOI: https://doi.org/10.5281/zenodo.20526320. Repository relationship This repository is associated with two SOLITAIRE project sub-repositories: 1) Speech Features and Machine Learning Pipeline for Depression Recognition Associated publication: Leal, S. S., Ntalampiras, S., Rossetti, M. G., Trabacca, A., Bellani, M., & Sassi, R. (2025). Speech-Based Depression Recognition in Hikikomori Patients Undergoing Cognitive Behavioral Therapy. Applied Sciences, 15(21), 11750. https://doi.org/10.3390/app152111750 Zenodo DOI: https://doi.org/10.5281/zenodo.20099145 2) SOLITAIRE Adults T0 Dataset on Hikikomori, Basic Psychological Needs, and Parental Bonding Associated publication: Pupi, V., Bressi, C., Brambilla, P., Rossetti, M. G., Perlini, C., Girelli, F., Buio, M. D., Zovetti, N., Fanizza, I., Trabacca, A., Guarnieri, F. C., Sassi, R., Bellani, M., & Delle Fave, A. (2026). Basic Psychological Needs and Parental Bonding in Italian Adults at High Risk of Hikikomori (Extreme Social Withdrawal): The Distinctive Association of Competence Frustration with Symptom Severity. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1738750 Zenodo DOI: https://doi.org/10.5281/zenodo.20418021 Data contents data/ Rossetti_2025_dataset.xlsx syntax/ Rossetti_2025_analysis.do documentation/ README.md LICENSE_NOTE.txt CITATION.cffCITATION.cff Expected data format The dataset is organized in wide format, with one row per anonymized participant. Variable labels, descriptions, and formats are reported in the data dictionary worksheet included in the dataset file. The dataset includes: - anonymized participant identifiers;- randomization group;- participant status;- sociodemographic variables;- baseline and post-intervention clinical measures;- baseline and post-intervention psychological measures. Syntax summary The `syntax/`folder contains Stata code used to reproduce the statistical analyses reported in the associated publication. The code supports the following steps: 1. participant selection procedures;2. descriptive statistics of baseline sample characteristics;3. linear regression analyses testing baseline predictors of social isolation;4. paired-sample t-tests evaluating pre-post treatment changes;5. generation of figures reported in the publication. Ethical and access notes This repository contains only anonymized data. No directly identifiable participant information is included. The dataset was derived from participants enrolled in the SOLITAIRE project and shared in accordance with applicable ethical approvals and data protection regulations. License - Dataset: CC BY 4.0;- Documentation: CC BY 4.0;- Stata code: MIT License Versioning If dataset files, metadata, code, or documentation are updated in the future, a new Zenodo version may be released while preserving the same concept DOI.SOLITAIRE——针对青少年及其家庭社交孤立的数字化干预项目 ## 概述 本代码仓库隶属于"SOLITAIRE——针对青少年及其家庭社交孤立的数字化干预"项目，该项目由欧盟下一代计划（Next Generation EU）资助，隶属于意大利国家复苏与韧性计划（NRRP）M6C2模块投资2.1：意大利国家医疗服务体系（Servizio Sanitario Nazionale, SSN）内生物医学研究的强化与提升。 项目编号：PNRR-MAD-2022-12376834，CUP编号：E33C22001020006，首席研究员：Marcella Bellani SOLITAIRE是一项多中心研究项目，旨在为遭受中重度社交孤立的青少年、年轻成年人及其家庭成员开发、实施并评估创新性数字化干预方案。本项目整合了临床精神病学、发育神经精神病学、认知神经科学、机器学习以及转化神经科学等多学科研究方法。 ### UO1——协调中心 意大利维罗纳大学综合教学医院（Azienda Ospedaliera Universitaria Integrata Verona）精神病学单元，首席研究员：Marcella Bellani ### UO2——发育年龄与成年早期重度残疾单元 意大利布林迪西普利亚科学中心欧金尼奥·梅代亚康复研究中心（Istituto di Ricovero e Cura a Carattere Scientifico, IRCCS Eugenio Medea, Apulia Scientific Center），项目负责人：Isabella Fanizza ### UO3——研究单元 米兰大学（University of Milan）计算机科学系与病理生理学及移植系，项目负责人：Antonella delle Fave ### UO4——研究单元 米兰国家研究委员会（Consiglio Nazionale delle Ricerche, CNR）神经科学研究所，意大利韦达诺阿尔兰布罗，项目负责人：Fabrizia Guarnieri ### SOLITAIRE项目组成员 意大利维罗纳大学神经科学、生物医学与运动科学系及维罗纳综合教学医院：Marcella Bellani、Maria Gloria Rossetti、Cinzia Perlini、Francesca Girelli、Niccolò Zovetti、Maria Diletta Buio； 米兰大学病理生理学及移植系：Paolo Brambilla、Cinzia Bressi、Antonella delle Fave、Virginia Pupi； 国家研究委员会神经科学研究所（CNR Institute of Neuroscience），意大利韦达诺阿尔兰布罗：Fabrizia Guarnieri、Edoardo Moretto； 米兰大学计算机科学系：Roberto Sassi、Maria Renata Guarneri、Stavros Ntalampiras、Samara Soares Leal； 意大利布林迪西神经康复科学医院"我们的家庭"协会——欧金尼奥·梅代亚康复研究中心（Associazione La Nostra Famiglia - IRCCS E. Medea）发育年龄与成年早期重度残疾单元：Isabella Fanizza、Lara Scialpi、Giorgia Carlucci、Mariangela Leucci； 欧金尼奥·梅代亚康复研究中心（IRCCS Eugenio Medea）科学管理部，意大利莱科省博西奥帕里尼：Antonio Trabacca。 ## 代码仓库内容 本代码仓库包含与Rossetti等人（2025年）发表的论文相关的匿名化数据集、元数据以及Stata分析代码。 ## 引用方式 若使用本资源，请同时引用相关发表论文与本Zenodo存档。 ### 相关发表论文 Rossetti, M. G., Girelli, F., Zovetti, N., Fanizza, I., delle Fave, A., Guarnieri, F. C., Brambilla, P., Trabacca, A., & Bellani, M. (2025). *Social Isolation in Youth: A Public Health Challenge and the Emerging Role of Telepsychotherapy*，收录于《Loneliness – The Ultimate Suffering in Modern Society》，IntechOpen出版社，DOI: https://doi.org/10.5772/intechopen.1013387。 ### Zenodo存档 Rossetti, M. G., Girelli, F., Zovetti, N., Fanizza, I., delle Fave, A., Guarnieri, F. C., Brambilla, P., Trabacca, A., & Bellani, M. (2026). *SOLITAIRE – Adults CBT Telepsychotherapy Dataset and Analysis Code*，Zenodo存档，DOI: https://doi.org/10.5281/zenodo.20526320。 ## 仓库关联关系 本代码仓库关联两个SOLITAIRE项目子代码仓库： 1. **用于抑郁症识别的语音特征与机器学习流水线** 相关发表论文：Leal, S. S., Ntalampiras, S., Rossetti, M. G., Trabacca, A., Bellani, M., & Sassi, R. (2025). *Speech-Based Depression Recognition in Hikikomori Patients Undergoing Cognitive Behavioral Therapy*，《Applied Sciences》，15(21), 11750，DOI: https://doi.org/10.3390/app152111750。 Zenodo DOI: https://doi.org/10.5281/zenodo.20099145。 2. **SOLITAIRE成人T0数据集：关于隐蔽青年（Hikikomori）、基本心理需求与亲子依恋** 相关发表论文：Pupi, V., Bressi, C., Brambilla, P., Rossetti, M. G., Perlini, C., Girelli, F., Buio, M. D., Zovetti, N., Fanizza, I., Trabacca, A., Guarnieri, F. C., Sassi, R., Bellani, M., & Delle Fave, A. (2026). *Basic Psychological Needs and Parental Bonding in Italian Adults at High Risk of Hikikomori (Extreme Social Withdrawal): The Distinctive Association of Competence Frustration with Symptom Severity*，《Frontiers in Psychology》，16，DOI: https://doi.org/10.3389/fpsyg.2025.1738750。 Zenodo DOI: https://doi.org/10.5281/zenodo.20418021。 ## 数据内容 本仓库文件结构如下： - `data/` 目录：包含`Rossetti_2025_dataset.xlsx` - `syntax/` 目录：包含`Rossetti_2025_analysis.do` - `documentation/` 目录：包含`README.md` - 根目录文件：`LICENSE_NOTE.txt`、`CITATION.cff` ## 预期数据格式 本数据集采用宽格式组织，每位匿名参与者对应一行数据。数据集文件内的数据字典工作表中列明了变量标签、描述与格式。 数据集包含以下内容： - 匿名参与者标识符； - 随机分组； - 参与者状态； - 社会人口统计学变量； - 基线与干预后临床评估指标； - 基线与干预后心理评估指标。 ## 代码语法说明 `syntax/`文件夹包含用于复现相关发表论文中统计分析的Stata代码。本代码支持以下分析步骤： 1. 参与者筛选流程； 2. 基线样本特征描述性统计； 3. 线性回归分析，用于检验社交孤立的基线预测因子； 4. 配对样本t检验，用于评估治疗前后的变化； 5. 生成论文中所用图表。 ## 伦理与使用说明 本代码仓库仅包含匿名化数据，未包含任何可直接识别参与者的信息。本数据集源自SOLITAIRE项目招募的参与者，其共享符合相关伦理审批与数据保护法规要求。 ## 许可协议 - 数据集：知识共享署名4.0国际许可协议（CC BY 4.0）； - 文档：知识共享署名4.0国际许可协议（CC BY 4.0）； - Stata代码：MIT许可协议。 ## 版本管理 若未来对数据集文件、元数据、代码或文档进行更新，将发布新的Zenodo存档版本，同时保留同一概念DOI。