The digital phenotype of vaccination

Quer, Giorgio; Topol, Eric J.; Steinhubl, Steve

doi:10.1038/s41587-022-01417-9

Cited by 1 publication

(1 citation statement)

References 11 publications

(13 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Physiological and behavioral changes post-vaccination (such as heart rate, sleep, activity), with respect to the pre-vaccination baseline, are predictive of the immune response of individuals. Early proof-of-concept data from the DETECT study and from other studies confirm that consumer wearable sensors can detect the individual physiological and behavioral changes associated with the vaccination and the consequent inflammation 22 , 23 . In the current study, we explored sleep metrics before vaccination, which are potentially modifiable.…”

Section: Discussionmentioning

confidence: 80%

Objectively measured peri-vaccination sleep does not predict COVID-19 breakthrough infection

Jaiswal,

Gadaleta,

Quer

et al. 2024

Sci Rep

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 80%