Tir Selma, White Rhiannon, Spitschan Manuel
Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom.
Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Front Neurosci. 2024 Sep 16;18:1421026. doi: 10.3389/fnins.2024.1421026. eCollection 2024.
Many aspects of sleep and circadian physiology are sensitive to participant-level characteristics. While recent research robustly highlights the importance of considering participant-level demographic information, the extent to which this information is consistently collected, and reported in the literature, remains unclear. This article investigates study sample characteristics within the published sleep and chronobiology research over the past 40 years. 6,777 articles were identified and a random sample of 20% was included. The reporting of sample size, age, sex, gender, ethnicity, level of education, socio-economic status, and profession of the study population was scored, and any reported aggregate summary statistics for these variables were recorded. We observed a significant upward trend in the reporting and analysis of demographic variables in sleep and chronobiology research. However, we found that while > 90% of studies reported age or sex, all other variables were reported in < 25% of cases. Reporting quality was highly variable, indicating an opportunity to standardize reporting guidelines for participant-level characteristics to facilitate Meta analyses.
睡眠和昼夜节律生理学的许多方面对参与者个体特征敏感。虽然最近的研究有力地强调了考虑参与者个体人口统计学信息的重要性，但这些信息在文献中被一致收集和报告的程度仍不明确。本文调查了过去40年发表的睡眠与生物钟学研究中的研究样本特征。共识别出6777篇文章，并纳入了20%的随机样本。对研究人群的样本量、年龄、性别、种族、教育程度、社会经济地位和职业的报告进行评分，并记录这些变量的任何报告汇总统计数据。我们观察到睡眠和生物钟学研究中人口统计学变量的报告和分析呈显著上升趋势。然而，我们发现，虽然超过90%的研究报告了年龄或性别，但所有其他变量的报告率均低于25%。报告质量差异很大，这表明有机会规范参与者个体特征的报告指南，以促进荟萃分析。
