English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper reports the temporal structures of the relationships between 24-hour heart rate variability (HRV) and physical activity (PA) in clinical big data of simultaneously recorded electrocardiograms (ECG) and actigraphic data in 21,682 male and 29,446 female patients (age, 20-100 yr). We found that SDNN (standard deviation of 24-hour normal-to-normal R-R interval [NN interval] of ECG) and PA during daytime, evening, and nighttime decreased with age. In regression models adjusted for the effect of age, daytime PA explained 7% of inter-individual variance in SDNN, while evening and early morning PA explained only <0.6% and nighttime PA negatively contributed to SDNN. Daytime but not nighttime PA is positively associated with increased 24-hour HRV.

Association of 24-Hour Heart Rate Variability and Daytime Physical Activity: ALLSTAR Big Data Analysis