Evidence map›Paper›PMID 42071269›Full record

ArticleInternational journal of cancer2026

Higher Daytime Light Exposure Predicts Lower Risk of Gastrointestinal Cancer Incidence and Mortality.

Xionge Mei, Wei Wang, Nana Zheng, Tong Luo, Jiaying Xu, Ngan Yin Chan, Jing Wang, Yannis Yan Liang, Sizhi Ai, Yaping Liu and 5 more

Abstract read
In one paragraph

Article in International journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Xionge MeiKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Wei WangKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Nana ZhengKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Tong LuoKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Jiaying XuKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Ngan Yin ChanLi Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, China.
Jing WangKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yannis Yan LiangKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Sizhi AiKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yaping LiuKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiao TanDepartment of Big Data in Health Science, Zhejiang University School of Public Health and Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0003-3992-5812
Christian BenedictDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Yun Kwok WingLi Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, China.
Jihui ZhangKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-4976-3039
Hongliang FengKey Laboratory of Sleep and Biological Rhythms of Guangdong Province, Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-3291-7780

Funding

Guangzhou Municipal School (College)-Enterprise Joint Funding Project 2024A03J0214Guangzhou Municipal School (College)-Enterprise Joint Funding Project 2025A03J3354National Key Research and Development Program of China 2021YFC2501500National Natural Science Foundation of China 82101558National Natural Science Foundation of China 82171476National Natural Science Foundation of China 82341240National Science and Technology Innovation 2030 of China-Major Projects 2022ZD0214100
6 · The paper itself

Abstract

Daytime light exposure is essential for health, primarily by synchronizing tissue and cellular-level clocks with the external light/dark cycle. Insufficient exposure may disrupt circadian alignment and contribute to adverse outcomes, including cancer. Given the high prevalence of gastrointestinal cancer, we conducted a prospective cohort study of 89,069 participants with objectively measured daytime light intensity and duration. Cox proportional hazards models were used to evaluate associations with gastrointestinal cancer incidence and mortality. Over a median follow-up of 8.8 years (804,111 person-years), 1692 gastrointestinal cancer cases were recorded, of which 891 were fatal. Higher mean levels of daytime light (≥ 1916 lux between 7:30-20:30, based on the 80% cut-off) were associated with lower risk of gastrointestinal cancer incidence (Hazard Ratio [HR]: 0.87, 95% confidence interval [CI]: 0.76-0.99, p = 0.04) and mortality (HR = 0.76, 95% CI: 0.63-0.93, p = 0.008), particularly for pancreatic cancer incidence (HR = 0.58, 95% CI: 0.40-0.85, p = 0.005) and mortality (HR = 0.47, 95% CI: 0.30-0.73, p = 0.001). Daytime light exposure ≥ 2.4 h (≥ 5000 lux between 7:30 and 20:30, which is often used as a chronotherapeutic threshold) was associated with a lower risk of pancreatic cancer incidence and mortality. Predictive ability of daytime light metrics exceeded that of sleep quality, diet, depression, and alcohol consumption. Higher daytime light exposure was associated with lower risks of gastrointestinal cancer incidence and mortality, especially for pancreatic cancer, indicating a potential protective effect that warrants further investigation in prevention and prognostic contexts.

Indexed as

Circadian RhythmGastrointestinal NeoplasmsLightAgedFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk Factorsbright lightdaytime lightgastrointestinal cancermortalitypancreatic cancerUK Biobank

Identifiers

PMID42071269
PMCPMC13397146

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.