The Inclusion Network of 27 Review Articles Published between 2013-2018 Investigating the Relationship Between Physical Activity and Depressive Symptoms

The relationship between physical activity and mental health, especially depression, is one of the most studied topics in the field of exercise science and kinesiology. Although there is strong consensus that regular physical activity improves mental health and reduces depressive symptoms, some debate the mechanisms involved in this relationship as well as the limitations and definitions used in such studies. Meta-analyses and systematic reviews continue to examine the strength of the association between physical activity and depressive symptoms for the purpose of improving exercise prescription as treatment or combined treatment for depression. This dataset covers 27 review articles (either systematic review, meta-analysis, or both) and 365 primary study articles addressing the relationship between physical activity and depressive symptoms. Primary study articles are manually extracted from the review articles. We used a custom-made workflow (Fu, Yuanxi. (2022). Scopus author info tool (1.0.1) [Python]. <a href="https://github.com/infoqualitylab/Scopus_author_info_collection">https://github.com/infoqualitylab/Scopus_author_info_collection</a> that uses the Scopus API and manual work to extract and disambiguate authorship information for the 392 reports. The author information file (author_list.csv) is the product of this workflow and can be used to compute the co-author network of the 392 articles. This dataset can be used to construct the inclusion network and the co-author network of the 27 review articles and 365 primary study articles. A primary study article is "included" in a review article if it is considered in the review article's evidence synthesis. Each included primary study article is cited in the review article, but not all references cited in a review article are included in the evidence synthesis or primary study articles. The inclusion network is a bipartite network with two types of nodes: one type represents review articles, and the other represents primary study articles. In an inclusion network, if a review article includes a primary study article, there is a directed edge from the review article node to the primary study article node. The attribute file (article_list.csv) includes attributes of the 392 articles, and the edge list file (inclusion_net_edges.csv) contains the edge list of the inclusion network. Collectively, this dataset reflects the evidence production and use patterns within the exercise science and kinesiology scientific community, investigating the relationship between physical activity and depressive symptoms. FILE FORMATS 1. article_list.csv - Unicode CSV 2. author_list.csv - Unicode CSV 3. Chinese_author_name_reference.csv - Unicode CSV 4. inclusion_net_edges.csv - Unicode CSV 5. review_article_details.csv - Unicode CSV 6. supplementary_reference_list.pdf - PDF 7. README.txt - text file 8. systematic_review_inclusion_criteria.csv - Unicode CSV <b>UPDATES IN THIS VERSION COMPARED TO V3</b> (Clarke, Caitlin; Lischwe Mueller, Natalie; Joshi, Manasi Ballal; Fu, Yuanxi; Schneider, Jodi (2023): The Inclusion Network of 27 Review Articles Published between 2013-2018 Investigating the Relationship Between Physical Activity and Depressive Symptoms. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4614455_V3) - We added a new file systematic_review_inclusion_criteria.csv.

身心活动与心理健康，尤其是抑郁症状之间的关系，是运动科学和运动学领域中最为深入研究的话题之一。尽管普遍认同规律的身体活动能够改善心理健康并减少抑郁症状，但对于这种关系的机制、以及此类研究中使用的局限性和定义，仍存在一些争议。元分析和系统综述持续探讨身心活动与抑郁症状之间关联的强度，旨在优化运动处方作为治疗或抑郁症联合治疗的方法。本数据集涵盖了27篇综述文章（包括系统综述、元分析或两者兼具）和365篇关于身心活动与抑郁症状关系的原始研究文章。原始研究文章是从综述文章中手工提取的。我们使用自定义工作流程（Fu, Yuanxi. (2022). Scopus作者信息工具（1.0.1）[Python]. <a href="https://github.com/infoqualitylab/Scopus_author_info_collection">https://github.com/infoqualitylab/Scopus_author_info_collection</a>），该工作流程利用Scopus API和人工工作提取并消歧392篇报告的作者信息。作者信息文件（author_list.csv）是该工作流程的产物，可用于计算392篇文章的合著者网络。此数据集可用于构建27篇综述文章和365篇原始研究文章的纳入网络和合著者网络。一篇原始研究文章如果被纳入综述文章的证据综合分析中，则被视为被综述文章所纳入。每篇被纳入的原始研究文章都会在综述文章中被引用，但并非综述文章中引用的所有参考文献都被纳入证据综合分析或原始研究文章。纳入网络是一个二分网络，包含两种类型的节点：一种代表综述文章，另一种代表原始研究文章。在纳入网络中，如果综述文章纳入了原始研究文章，则从综述文章节点到原始研究文章节点之间存在有向边。属性文件（article_list.csv）包含了392篇文章的属性，边列表文件（inclusion_net_edges.csv）包含了纳入网络的边列表。总体而言，该数据集反映了运动科学和运动学科学共同体中的证据生产和使用模式，探讨了身心活动与抑郁症状之间的关系。文件格式：1. article_list.csv - Unicode CSV 2. author_list.csv - Unicode CSV 3. Chinese_author_name_reference.csv - Unicode CSV 4. inclusion_net_edges.csv - Unicode CSV 5. review_article_details.csv - Unicode CSV 6. supplementary_reference_list.pdf - PDF 7. README.txt - 文本文件 8. systematic_review_inclusion_criteria.csv - Unicode CSV <b>与版本3相比的更新</b>（Clarke, Caitlin; Lischwe Mueller, Natalie; Joshi, Manasi Ballal; Fu, Yuanxi; Schneider, Jodi (2023): 2013-2018年间发表的27篇综述文章的纳入网络：探讨身心活动与抑郁症状之间的关系。伊利诺伊大学厄巴纳-香槟分校. https://doi.org/10.13012/B2IDB-4614455_V3）- 我们添加了一个新的文件systematic_review_inclusion_criteria.csv。