five

行数据

收藏
Figshare2024-12-10 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/_/28003526
下载链接
链接失效反馈
官方服务:
资源简介:
标题Meta-Analysis Dataset: Intervention Outcomes on Psychological and Physical Health描述This dataset contains raw data collected from various randomized controlled trials (RCTs) for a meta-analysis on the effects of interventions (e.g., exercise, yoga, health education) on psychological and physical health outcomes. The dataset includes information on study characteristics, intervention details, participant demographics, and outcomes measured at pre- and post-intervention stages.数据背景The dataset compiles data from 98 unique records across multiple RCTs, spanning different countries.Outcomes include measures such as psychological scales (e.g., GHQ-28, BAI) and intervention characteristics.Data were collected and processed to support a meta-analysis exploring the impact of interventions on health outcomes.数据内容The dataset includes 45 variables:Study Information: Study ID, RCT identifier, and country.Participant Characteristics: Percentage of female participants, mean age, and comorbidities.Intervention Details: Type (e.g., aerobic exercise, yoga), class (exercise, control), duration, frequency, and intensity.Outcome Measures: Baseline and post-intervention means, standard deviations, sample sizes, standardized mean differences (SMD), and associated statistics.Risk of Bias: Assessments for sequence generation, blinding, selective reporting, and overall risk of bias.数据格式File Type: Excel (.xlsx)Number of Rows: 98Number of Columns: 45Sheet Names: Sheet1Sample Variables:studyID: Unique study identifier.outcome: Measured outcome (e.g., GHQ-28, BAI).smd: Standardized mean difference between intervention and control groups.数据用途This dataset is designed for use in:Meta-analyses to assess the effectiveness of interventions on psychological and physical health.Exploring subgroup effects based on intervention type, population characteristics, and study design.Risk of bias analyses in the included RCTs.
创建时间:
2024-12-10
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作