Evidence map›Paper›PMID 38498221›Full record

ArticleCancer causes & control : CCC2024

Daytime napping and the risk of gastric cancer: the JACC Study.

Fangyu Yan, Ahmed Arafa, Ehab S Eshak, Kokoro Shirai, Akiko Tamakoshi, Hiroyasu Iso, JACC Study Group

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Article in Cancer causes & control : CCC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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2citing papers in PubMed, 1 pooled it
–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

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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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fangyu Yan *Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan. yan-fy@niid.go.jp.
Ahmed Arafa *Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Ehab S EshakDepartment of Public Health, Faculty of Medicine, Minia University, Minia, Egypt.
Kokoro ShiraiPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Akiko TamakoshiDepartment of Public Health, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Hiroyasu IsoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan. hiso@it.ncgm.go.jp.
JACC Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer is a major cause of morbidity and mortality in Japan and worldwide. Emerging literature has suggested unfavorable health outcomes associated with daytime napping. Herein, we aimed to investigate the association between daytime napping and the risk of gastric cancer among Japanese people.

methodsThis prospective cohort study included 49,037 participants, aged 40-79 years, from the Japan Collaborative Cohort Study (JACC Study). Participants with positive cancer history and those who reported night or rotational shift work were excluded. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) of incident gastric cancer among daytime nappers.

resultsWithin 650,040 person-years (median = 13.7 years) of follow-up, 1,164 participants developed gastric cancer. Daytime napping was associated with the increased risk of gastric cancer in the multivariable-adjusted model: HR (95% CI) = 1.14 (1.01, 1.29). The excess risk did not significantly differ across sexes, age groups (<65 and ≥65 years), and employment status (employed and unemployed) (p-interactions > 0.40). However, sleep duration modified this effect: HRs (95% CIs) = 1.66 (1.23, 2.23) in sleep duration ≤6 h/night versus 1.06 (0.93, 1.21) in sleep duration >6 h/night (p-interaction = 0.006).

conclusionDaytime napping was associated with increased gastric cancer risk, especially among those who reported short sleep duration.

Indexed as

SleepStomach NeoplasmsAdultAgedCohort StudiesFemaleHumansIncidenceJapanMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsDaytime nappingGastric cancerJACC StudyProspective cohort study

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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.