Association of estimated cardiorespiratory fitness with circadian syndrome: A cross-national analysis of two large aging cohorts

Higher eCRF is associated with both a lower prevalence and reduced long-term incidence of CircS in both Chinese and English older adults. However, the characteristics of this association, including dose-response patterns and modification by sex, appear to be population-dependent.

Authors

Institutions

Publication Details

Journal
Sleep Medicine
Published
2025-12-20
DOI
https://doi.org/10.1016/j.sleep.2025.108736
Primary Topic
Cardiovascular and exercise physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of estimated cardiorespiratory fitness with circadian syndrome: A cross-national analysis of two large aging cohorts

Bo Xiang, Haili Ma, Mingjie Liu, Rundong Liu et al.
Sleep Medicine
Cardiovascular and exercise physiology
article

Association of estimated cardiorespiratory fitness with circadian syndrome: A cross-national analysis of two large aging cohorts

Bo Xiang, Haili Ma, Mingjie Liu, Rundong Liu, Chendong Wang, Yingjia Hu
article en

Abstract

Higher eCRF is associated with both a lower prevalence and reduced long-term incidence of CircS in both Chinese and English older adults. However, the characteristics of this association, including dose-response patterns and modification by sex, appear to be population-dependent.

Sleep MedicineVol. 139
University of Pittsburgh (US), Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 42%
Cardiovascular and exercise physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.