Accelerometer-derived 24-hour behavior composition and incident clinically diagnosed sleep apnoea: a prospective cohort study

Physical activity, sedentary behavior, and sleep form a finite 24-hour behavioral composition. Whether accelerometer-derived composition and specific sedentary-time reallocation contrasts are associated with incident clinically diagnosed sleep apnoea remains unclear. We analyzed 93,262 UK Biobank participants without clinically diagnosed sleep apnoea before accelerometer assessment. Daily time in sleep, sedentary behavior, light physical activity, and moderate-to-vigorous physical activity (MVPA) was derived from wrist-worn accelerometry and analyzed using isometric log-ratio transformation. The primary outcome was incident hospital-recorded sleep apnoea (ICD-10 G47.3). Cox models used attained age as the timescale, with missing covariates handled using multiple imputation. Compositional analyses estimated hazard ratios (HRs) for reallocating 30 min/day between behaviors. Sensitivity analyses included the broader linked-record outcome, competing-risk models, obesity-stratified analyses, and other robustness analyses. A metabolomic risk score (MRS) was cross-fitted using the hospital outcome among participants with at least one observed candidate metabolite; full-cohort cross-fitting was a sensitivity analysis. During a median follow-up of 8.15 years, 816 participants had a first hospital-recorded sleep apnoea diagnosis. A model-based 30-min/day reallocation from sedentary time to MVPA showed the strongest inverse association (HR, 0.87; 95% CI, 0.83–0.90), followed by reallocation to sleep (HR, 0.94; 95% CI, 0.91–0.96). Reallocation to light physical activity showed little association (HR, 0.99; 95% CI, 0.97–1.01). The broader outcome and age-adjusted competing-risk analyses yielded similar association patterns. Among 91,197 participants with observed metabolite measurements (801 events), each 1-SD higher MRS was associated with a higher hazard (HR, 1.17; 95% CI, 1.06–1.29). Accelerometer-derived 24-hour behavior composition was associated with incident hospital-recorded sleep apnoea. The sedentary-to-MVPA contrast showed the clearest inverse association. The cross-fitted MRS was also associated with hospital-recorded sleep apnoea after covariate adjustment.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2026-11-07
DOI
https://doi.org/10.1186/s12889-026-30154-w
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Accelerometer-derived 24-hour behavior composition and incident clinically diagnosed sleep apnoea: a prospective cohort study

Feiting Yu, Hejia Cai, Kaiquan Zhu, Haocheng Tang et al.
4 links
BMC Public Health
Obstructive Sleep Apnea Research
article

Accelerometer-derived 24-hour behavior composition and incident clinically diagnosed sleep apnoea: a prospective cohort study

Feiting Yu, Hejia Cai, Kaiquan Zhu, Haocheng Tang, Yanyi Pan, Junchao Wang
article en

Abstract

Physical activity, sedentary behavior, and sleep form a finite 24-hour behavioral composition. Whether accelerometer-derived composition and specific sedentary-time reallocation contrasts are associated with incident clinically diagnosed sleep apnoea remains unclear. We analyzed 93,262 UK Biobank participants without clinically diagnosed sleep apnoea before accelerometer assessment. Daily time in sleep, sedentary behavior, light physical activity, and moderate-to-vigorous physical activity (MVPA) was derived from wrist-worn accelerometry and analyzed using isometric log-ratio transformation. The primary outcome was incident hospital-recorded sleep apnoea (ICD-10 G47.3). Cox models used attained age as the timescale, with missing covariates handled using multiple imputation. Compositional analyses estimated hazard ratios (HRs) for reallocating 30 min/day between behaviors. Sensitivity analyses included the broader linked-record outcome, competing-risk models, obesity-stratified analyses, and other robustness analyses. A metabolomic risk score (MRS) was cross-fitted using the hospital outcome among participants with at least one observed candidate metabolite; full-cohort cross-fitting was a sensitivity analysis. During a median follow-up of 8.15 years, 816 participants had a first hospital-recorded sleep apnoea diagnosis. A model-based 30-min/day reallocation from sedentary time to MVPA showed the strongest inverse association (HR, 0.87; 95% CI, 0.83–0.90), followed by reallocation to sleep (HR, 0.94; 95% CI, 0.91–0.96). Reallocation to light physical activity showed little association (HR, 0.99; 95% CI, 0.97–1.01). The broader outcome and age-adjusted competing-risk analyses yielded similar association patterns. Among 91,197 participants with observed metabolite measurements (801 events), each 1-SD higher MRS was associated with a higher hazard (HR, 1.17; 95% CI, 1.06–1.29). Accelerometer-derived 24-hour behavior composition was associated with incident hospital-recorded sleep apnoea. The sedentary-to-MVPA contrast showed the clearest inverse association. The cross-fitted MRS was also associated with hospital-recorded sleep apnoea after covariate adjustment.

BMC Public Health
Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Jinhua Central Hospital (CN)
Good health and well-being
Openalex Percentile: Top 16%
Obstructive Sleep Apnea Research
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.

Laika access coming soon