高血压和运动训练的元分析中的统计异质性:一个元综述
Jorge M M Teixeira1, Leonardo Roever2,3, Akilesh Ramasamy4
1Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), University of Maia, Maia, Portugal.
Journal of sports sciences
|February 11, 2024
概括
对高血压运动的系统性审查往往没有报告统计异质性,尽管其流行. 这种监督可能会误导练习的表现.
科学领域:
- 运动生理学 运动生理学
- 心血管健康的心血管健康
- 基于证据的医学是基于证据的医学.
背景情况:
- 高血压管理通常包括运动建议.
- 系统性审查与元分析 (SRMA) 综合了对高血压的运动研究.
- 评估统计异质性对于可靠的SRMA结论至关重要.
研究的目的:
- 评估对高血压运动的SRMA中统计异质性的报告.
- 量化这些评论中的统计异质性的程度.
- 为解决SRMA中异质性的问题提供实际指导.
主要方法:
- 在四个数据库 (2002-2023) 中系统搜索SRMA,以对高血压进行运动与非运动对照.
- 对59个SRMA的分析,评估异质度指标 (Cochran的Q,I2, τ2,预测间隔) 的报告.
- 重新计算并将预测间隔与元分析置信间隔进行比较.
主要成果:
- 诸如 τ2 (54%) 和预测间隔 (96.6%) 等关键异质度指标经常没有报告.
- 重新计算的预测间隔显示出实质性的异质性,与显著的元分析结果相矛盾 (65%为心血压,92%为心血压).
- 作者的结论往往未能承认这种异质性 (78%),可能导致过高估计的证据确定性.
结论:
- 报告和处理高血压SRMA运动中的统计异质性是不理想的.
- 不被承认的异质性可能会使证据的确定性降低.
- 在整个SRMA过程中,需要改进对异质性的解释和管理.
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