Evidence map›Paper›PMID 42905154›Full record

ArticleCancer causes & control : CCC2026

Sleep duration and prostate cancer-specific mortality in the Southern Community Cohort Study.

Danica C Anukam, Roch A Nianogo, Onyebuchi A Arah, Jianyu Rao, Jay H Fowke, Mia Hashibe, Zuo-Feng Zhang

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Article in Cancer causes & control : CCC, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Danica C AnukamDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Roch A NianogoDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Onyebuchi A ArahDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Jianyu RaoDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Jay H FowkeDepartment of Preventive Medicine, The University of Tennessee Health Science Center, College of Medicine, Memphis, TN, USA.
Mia HashibeDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Zuo-Feng ZhangDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA. zfzhang@ucla.edu.

Funding

NCI NIH HHS U01CA202979. Please note: The data used in this manuscript were derived from the Southern Community Cohort Study, which is supported by the National Cancer Institute of the National Institutes of Health under Award Number U01CA202979. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
6 · The paper itself

Abstract

purposeSleep patterns may affect metabolic and behavioral processes, which subsequently could be linked to cancer mortality. However, the relationship between sleep patterns and prostate cancer-specific mortality remains unclear. We evaluated the association of sleep and prostate cancer-specific mortality and investigated whether race/ethnicity influences the association.

methodsThe Southern Community Cohort Study (SCCS), a prospective cohort study, recruited participants from 12 Southeastern states between March 2002 and September 2009. The cohort included 34,166 males, predominantly Black/African American. Sleep exposures were measured via a baseline questionnaire. Cox Proportional hazards models were used to estimate associations between sleep and prostate cancer-specific mortality and were adjusted for important potential confounders.

resultsDuring follow-up (median 15.9 years), 225 men died from prostate cancer. Longer sleep duration (≥ 9 hours) on weekends versus 7-8 hours was suggestively associated with an increased risk of prostate cancer-specific mortality (hazard ratio (HR)= 1.44, 95% confidence interval (CI): 1.02-2.03). When stratified by race, longer sleep duration was suggestively associated with an increased risk of prostate cancer mortality for both Black and White men, although the associations were insignificant. Overall sleep duration and restless sleep were not associated with prostate cancer-specific mortality.

conclusionMen reporting ≥ 9 hours of weekend sleep had an elevated risk of prostate cancer-specific mortality compared with those sleeping 7-8 hours. Stratified analysis suggests an increased risk of prostate cancer-specific mortality among both Black men and White men with ≥ 9 hours of sleep versus 7-8 hours, though estimates were imprecise due to small event numbers.

Indexed as

Prostatic NeoplasmsSleepSleep DurationAgedBlack or African AmericanCohort StudiesHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsSoutheastern United StatesSurveys and QuestionnairesWhiteProspective cohortProstate cancerRacial disparitiesSleep durationSouthern Community Cohort Study (SCCS)

Identifiers

PMID42905154
PMCPMC13687344

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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.