Habitual napping and cancer incidence: a prospective study from the UK Biobank with metabolomic mediation analysis

Increased daytime napping frequency is potentially associated with elevated cancer risk. Further research is warranted to validate this association and elucidate the underlying biological mechanisms. Statement of Significance This study provides the comprehensive investigation of how daytime napping influence cancer risk through biological mechanisms. By analyzing data from 461 000 individuals in the UK Biobank, we demonstrated that increased daytime napping frequency is associated with elevated cancer risk, particularly for breast and esophageal cancers. Our research employed both observational and genetic approaches, using PRS to assess the contribution of genetic liability and to provide evidence which was less susceptible to traditional confounding. Through mediation analysis of 325 NMR metabolites, we identified lipid metabolic dysfunction as the key biological pathway linking napping to cancer development. Specifically, cholesterol composition in small low-density lipoproteins explained 13.3 per cent of this association. These findings provide the biological explanation for how daytime napping influences cancer development and highlight lipid metabolism as a potential intervention target for cancer prevention. Future studies are essential to validate this association and elucidate the underlying biological mechanisms.

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2025-11-08
DOI
https://doi.org/10.1093/sleep/zsaf331
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Habitual napping and cancer incidence: a prospective study from the UK Biobank with metabolomic mediation analysis

Yuntao Wu, Jie Liang, Bo Cheng, Jing Diao et al.
1 citations
SLEEP
Metabolomics and Mass Spectrometry Studies
0.81
article

Habitual napping and cancer incidence: a prospective study from the UK Biobank with metabolomic mediation analysis

Yuntao Wu, Jie Liang, Bo Cheng, Jing Diao, Xin Bi, Zixun Wang, Wenhua Liang, Wenjun Ye, Yihai Wei, Juan He, Feng Li, Jianxing He, Jie Cai, Xinyi Wu, Yi Feng, Chengfu Xian, Xiangyuan Zheng
article en
1 citations

Abstract

Increased daytime napping frequency is potentially associated with elevated cancer risk. Further research is warranted to validate this association and elucidate the underlying biological mechanisms. Statement of Significance This study provides the comprehensive investigation of how daytime napping influence cancer risk through biological mechanisms. By analyzing data from 461 000 individuals in the UK Biobank, we demonstrated that increased daytime napping frequency is associated with elevated cancer risk, particularly for breast and esophageal cancers. Our research employed both observational and genetic approaches, using PRS to assess the contribution of genetic liability and to provide evidence which was less susceptible to traditional confounding. Through mediation analysis of 325 NMR metabolites, we identified lipid metabolic dysfunction as the key biological pathway linking napping to cancer development. Specifically, cholesterol composition in small low-density lipoproteins explained 13.3 per cent of this association. These findings provide the biological explanation for how daytime napping influences cancer development and highlight lipid metabolism as a potential intervention target for cancer prevention. Future studies are essential to validate this association and elucidate the underlying biological mechanisms.

SLEEPVol. 49(2)
First Affiliated Hospital of Guangzhou Medical University (CN), Guangzhou Institute of Dermatology (CN), First Affiliated Hospital of University of South China (CN), The First People's Hospital of Zhaoqing (CN), State Key Laboratory of Respiratory Disease (CN), University of South China (CN), Guangzhou Medical University (CN)
Openalex Percentile: Top 22%
Metabolomics and Mass Spectrometry Studies
0.81
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.