The Scripps Research Institute, La Jolla, CA, USA.
University of California San Diego School of Medicine, La Jolla, CA, USA.
Sci Rep. 2024 Feb 26;14(1):4655. doi: 10.1038/s41598-024-53743-4.
Prior studies have shown that sleep duration peri-vaccination influences an individual's antibody response. However, whether peri-vaccination sleep affects real-world vaccine effectiveness is unknown. Here, we tested whether objectively measured sleep around COVID-19 vaccination affected breakthrough infection rates. DETECT is a study of digitally recruited participants who report COVID-19-related information, including vaccination and illness data. Objective sleep data are also recorded through activity trackers. We compared the impact of sleep duration, sleep efficiency, and frequency of awakenings on reported breakthrough infection after the 2nd vaccination and 1st COVID-19 booster. Logistic regression models were created to examine if sleep metrics predicted COVID-19 breakthrough infection independent of age and gender. Self-reported breakthrough COVID-19 infection following 2nd COVID-19 vaccination and 1st booster. 256 out of 5265 individuals reported a breakthrough infection after the 2nd vaccine, and 581 out of 2583 individuals reported a breakthrough after the 1st booster. There was no difference in sleep duration between those with and without breakthrough infection. Increased awakening frequency was associated with breakthrough infection after the 1st booster with 3.01 ± 0.65 awakenings/hour in the breakthrough group compared to 2.82 ± 0.65 awakenings/hour in those without breakthrough (P < 0.001). Cox proportional hazards modeling showed that age < 60 years (hazard ratio 2.15, P < 0.001) and frequency of awakenings (hazard ratio 1.17, P = 0.019) were associated with breakthrough infection after the 1st booster. Sleep duration was not associated with breakthrough infection after COVID vaccination. While increased awakening frequency during sleep was associated with breakthrough infection beyond traditional risk factors, the clinical implications of this finding are unclear.
先前的研究表明，接种疫苗前后的睡眠时间会影响个体的抗体反应。然而，接种疫苗前后的睡眠是否会影响现实世界中疫苗的有效性尚不清楚。在这里，我们测试了 COVID-19 疫苗接种前后的客观睡眠时间是否会影响突破性感染率。DETECT 是一项针对通过数字方式招募的参与者的研究，这些参与者报告了与 COVID-19 相关的信息，包括接种疫苗和患病数据。还通过活动追踪器记录客观的睡眠数据。我们比较了睡眠时间、睡眠效率和觉醒频率对第 2 次接种疫苗和第 1 次 COVID-19 加强针后报告的突破性感染的影响。创建了逻辑回归模型，以检查睡眠指标是否可以独立于年龄和性别预测 COVID-19 突破性感染。第 2 次 COVID-19 疫苗接种和第 1 次加强针后自我报告的突破性 COVID-19 感染。在第 2 次疫苗接种后，有 256 名/5265 名参与者报告了突破性感染，在第 1 次加强针后，有 581 名/2583 名参与者报告了突破性感染。突破性感染组和未发生突破性感染组的睡眠时间无差异。与第 1 次加强针后发生突破性感染相比，觉醒频率增加与感染相关，突破性感染组每小时觉醒 3.01±0.65 次，而未发生突破性感染组每小时觉醒 2.82±0.65 次（P<0.001）。Cox 比例风险模型显示，年龄<60 岁（风险比 2.15，P<0.001）和觉醒频率（风险比 1.17，P=0.019）与第 1 次加强针后发生突破性感染相关。COVID 疫苗接种后，睡眠时间与突破性感染无关。虽然睡眠期间觉醒频率增加与传统危险因素之外的突破性感染相关，但这一发现的临床意义尚不清楚。
