一个多维的纵向数据集功能性体力综合征
Peyman Adibi1, Simindokht Kalani2, Alireza Ani3
1Isfahan Gastroenterology and Hepatology Research Center, Isfahan University of medical sciences, Isfahan, Iran.
Data in brief
|June 29, 2023
概括
这项研究提供了功能性体征综合征的全面数据集,探索了成人生活方式和心理健康等因素. 这些数据有助于研究人员了解这些普遍的疾病.
科学领域:
- 多学科研究多学科研究.
- 卫生科学 卫生科学
- 数据科学是数据科学.
背景情况:
- 功能障碍很常见,影响个人和医疗保健系统.
- 了解功能性体征综合征的多因素性质至关重要.
- 现有研究需要全面的纵向数据,以获得更深入的见解.
研究的目的:
- 为研究功能性体征综合征提供一个多学科数据集.
- 促进对导致这些疾病的因素相互作用的研究.
- 为研究人员,政策制定者和临床医生提供宝贵的资源.
主要方法:
- 纵向研究设计,随访时间为四年.
- 包括各种数据类型:症状,心理,生活方式,人口统计,实验室,临床和历史数据.
- 数据来自伊朗伊斯法罕市一大群看似健康的成年人 (18-65岁) 收集的.
- 随机选择和参与者的监测.
主要成果:
- 一个包含1930名参与者在基线 (2017) 的数据集.
- 从1697 (2018年),1616 (2019年) 和1176 (2020年) 的参与者收集的后续数据.
- 涵盖与功能障碍相关的多个领域的全面数据.
结论:
- 该数据集为分析功能性体征综合征提供了坚实的基础.
- 能够探索影响这些普遍健康问题的复杂相互作用.
- 支持基于证据的卫生保健政策和临床实践策略.
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