在流行病学调查中,常见睡眠时间的两个常见自我报告方法之间的估计偏差和一致性限制
Maria Korman1, Daria Zarina2, Vadim Tkachev2
1Department of Occupational Therapy, Faculty of Health Sciences, Ariel University, Ariel, Israel. maria.korman@ariel.ac.il.
Scientific reports
|February 10, 2024
概括
两种常见的睡眠持续时间自我报告方法显示不良协议和系统偏见,随着睡眠质量降低而恶化. 纳入睡眠质量问题可能会提高睡眠健康研究的准确性.
科学领域:
- 睡眠科学 睡眠科学
- 时间生物学 时间生物学
- 公共卫生 公共卫生
背景情况:
- 准确测量习惯性睡眠时间 (HSD) 对于了解睡眠对健康的影响至关重要.
- 自我报告问卷是评估HSD的常见工具,但它们的准确性各不相同.
- 睡眠质量 (SQ) 和社会时差 (SJL) 可能会影响HSD测量的准确性.
研究的目的:
- 为了比较两个常见的HSD自我报告方法之间的偏差和一致性:方法-自我和方法-MCTQ.
- 研究睡眠质量 (SQ) 和社会时差 (SJL) 对潜在偏差的影响.
- 通过改进HSD测量,提高睡眠健康研究的准确性.
主要方法:
- 利用了来自国际COVID睡眠研究II (ICOSS-II) 的10,268名参与者的数据.
- 与方法-MCTQ (从工作日和休息日估计的HSD) 进行比较.
- 使用利克特级别和失眠严重程度指数 (ISI) 评估SQ,以评估偏差预测因素.
主要成果:
- 方法-自动产生HSD比方法-MCTQ低约42分钟,具有广泛的协议范围 (±133分钟).
- 偏见和同意随着睡眠质量降低而显著恶化.
- 方法-MCTQ的工作日估计 (HSDMCTQwork) 与自由日估计 (HSDMCTQfree) 相比,与HSDself相比,显示的偏差较小.
结论:
- 这两种HSD自我报告方法表现出大量的分歧和系统偏见,睡眠质量不佳加剧了这一现象.
- 主观睡眠质量显著预测了自我报告的HSD和估计偏差的变化.
- 将睡眠质量评估整合到调查中可以帮助减轻偏见,并提高睡眠健康研究的可靠性.
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