在观察性研究中对研究报告实践进行系统审查,研究24小时运动行为和健康指标之间的关联,使用组合数据分析来分析这些数据
Denver M Y Brown1, Sarah Burkart2, Claire I Groves3
1Kansas State University, 1105 Sunset Ave, Manhattan, KS 66502 USA.
Journal of activity, sedentary and sleep behaviors
|October 7, 2024
概括
这次审查发现,在使用组合数据分析 (CoDA) 分析24小时运动行为的研究中,报告不一致. 为了准确的健康结果分析和公共卫生政策,需要更清晰的报告.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 组合数据分析 (CoDA) 适用于研究24小时运动行为 (睡眠,久坐时间,身体活动),因为它们的相互依赖性.
- 越来越多地采用了CoDA,这凸显了需要标准化报告实践来综合研究成果的必要性.
- 报告中的异质性可能会阻碍元分析和运动行为与健康关系的量化.
研究的目的:
- 系统地审查和描述使用CoDA进行24小时运动行为和健康结果协会的研究中的报告实践.
- 在这个研究领域内确定一致和不一致的报告领域.
- 为时间使用流行病学制定标准化报告准则提供信息.
主要方法:
- 通过对八个数据库的系统搜索以及补充搜索,发现了相关的观察研究.
- 纳入标准集中在使用CoDA的研究中,对运动行为数据的逻辑比转换.
- 报告实践被分为七个关键领域,研究质量使用NIH质量评估工具进行评估.
主要成果:
- 102项研究符合纳入标准,揭示了报告实践的显著变化.
- 方法论上的理由通常得到了很好的报道,但其他领域显示出不一致性.
- 报告中的关键不一致性包括"一天"的定义 (例如,午夜到午夜与醒来到醒来).
- 在85%的纳入研究中,研究质量被评为公平.
结论:
- 目前的研究显示报告不一致,阻碍了关于运动行为和健康的研究结果的综合.
- 标准化,清晰和详细的报告实践对于推进时间利用流行病学至关重要.
- 建立关于报告建议的共识是改善研究可比性和为公共卫生决策提供信息的关键下一步.
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