Association between social jet lag and estimated 10-year cardiovascular risk: a population-based study of data from the National Health and Nutrition Examination Survey

This cross-sectional study investigates the association between social jet lag (SJL), a measurement of chronotype misalignment between workdays and free days, and estimated 10-year cardiovascular risk based on the National Health and Nutrition Examination Survey (2017–2020 cycle). SJL was measured as the absolute difference between the mid-sleep timepoints on workdays and free days. The Framingham risk score (FRS) was calculated using seven variables and used to estimate 10-year cardiovascular risk. Weighted generalized linear regressions and restricted cubic splines (RCS) analysis were used to investigate the association between SJL and the FRS. Subgroup analyses were performed to identify potential interactions. Overall, 4,037 participants were included. The median SJL was 0.8 h, and 42.8% of the participants had SJL ≥ 1 h. When SJL was considered as a continuous variable, greater SJL was associated with a higher FRS (β = 0.20, 95% CI 0.02–0.38, p = 0.015). Similarly, individuals with SJL ≥ 1 h had a significantly higher FRS than those with SJL < 1 h (β = 0.40, 95% CI 0.10–0.73, p = 0.005). The RCS analysis indicated a positive linear relationship between SJL and the FRS (pnon-linear = 0.798). Subgroup analyses did not reveal any interactions. This cross-sectional study suggested that greater SJL was linked to higher FRS, but the association appeared to be modest. Further prospective studies are required to determine causality.

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2026-03-26
DOI
https://doi.org/10.1186/s40001-026-04274-3
Primary Topic
Workplace Health and Well-being
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between social jet lag and estimated 10-year cardiovascular risk: a population-based study of data from the National Health and Nutrition Examination Survey

Boqun Shi, Chu Fan, Shen Wang, Liangguo Chen et al.
European journal of medical research
Workplace Health and Well-being
article

Association between social jet lag and estimated 10-year cardiovascular risk: a population-based study of data from the National Health and Nutrition Examination Survey

Boqun Shi, Chu Fan, Shen Wang, Liangguo Chen, Yi Zou, Yue Wang, Shuo Pang, Xiaofan Wu
article en

Abstract

This cross-sectional study investigates the association between social jet lag (SJL), a measurement of chronotype misalignment between workdays and free days, and estimated 10-year cardiovascular risk based on the National Health and Nutrition Examination Survey (2017–2020 cycle). SJL was measured as the absolute difference between the mid-sleep timepoints on workdays and free days. The Framingham risk score (FRS) was calculated using seven variables and used to estimate 10-year cardiovascular risk. Weighted generalized linear regressions and restricted cubic splines (RCS) analysis were used to investigate the association between SJL and the FRS. Subgroup analyses were performed to identify potential interactions. Overall, 4,037 participants were included. The median SJL was 0.8 h, and 42.8% of the participants had SJL ≥ 1 h. When SJL was considered as a continuous variable, greater SJL was associated with a higher FRS (β = 0.20, 95% CI 0.02–0.38, p = 0.015). Similarly, individuals with SJL ≥ 1 h had a significantly higher FRS than those with SJL < 1 h (β = 0.40, 95% CI 0.10–0.73, p = 0.005). The RCS analysis indicated a positive linear relationship between SJL and the FRS (pnon-linear = 0.798). Subgroup analyses did not reveal any interactions. This cross-sectional study suggested that greater SJL was linked to higher FRS, but the association appeared to be modest. Further prospective studies are required to determine causality.

European journal of medical research
Capital Medical University (CN), Beijing Anzhen Hospital (CN)
Zero hunger
Openalex Percentile: Top 10%
Workplace Health and Well-being
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.