Evidence map›Paper›PMID 37940783›Full record

ArticleCancer causes & control : CCC2024

Prospective analysis of sleep characteristics, chronotype, and risk of breast cancer in the california teachers study.

Julie Von Behren, Debbie Goldberg, Susan Hurley, Jessica Clague DeHart, Sophia S Wang, Peggy Reynolds

Open access · hybridAbstract read
In one paragraph

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 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
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

6 authors at 3 institutions in 1 country.

Julie Von BehrenDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. Julie.vonbehren@ucsf.edu.
Debbie GoldbergDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Susan HurleyDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Jessica Clague DeHartSchool of Community and Global Health, Claremont Graduate University, Claremont, CA, USA.
Sophia S WangDivision of Health Analytics, Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Peggy ReynoldsDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USCity of Hope · USClaremont Graduate University · US

Funding

Oil and Gas as Drivers of Climate Change and Health: Developing unique resources to investigate multi-level and diverse effects of exposure to oil and gas wellsU01CA199277 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI LACEY, JAMES V, MARTINEZ, MARIA ELENA · 2015 to 2024
$20.7M
Sleep and Cancer: Evaluation of Risk and Insights into MechanismsR01CA207020 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REYNOLDS, PEGGY · 2017 to 2020
$2.3M
NCI NIH HHS R01 CA207020NCI NIH HHS U01 CA199277
6 · The paper itself

Abstract

purposePoor sleep quality and evening chronotype were associated with increased risk of breast cancer in a previous retrospective study in the California Teachers Study (CTS). The present analysis examines these sleep factors prospectively in the same cohort of women.

methodsFrom the CTS, we included 1,085 incident breast cancer cases and 38,470 cancer-free participants from 2012 through 2019. We calculated time at risk and used Cox proportional hazards regression models to estimate the hazard ratios (HRs) and control for risk factors such as age, race, body mass index, family history of breast cancer, and reproductive history. The sleep factors examined were quality, latency, duration, disturbance, and sleep medication use, based on a shortened version of the Pittsburgh Sleep Quality Index, as well as chronotype (preference for morning or evening activity). This analysis was limited to women who were post-menopausal at the time they answered these sleep-related questions.

resultsMeasures of sleep quality did not appear to be associated with subsequent breast cancer risk. The HR for evening chronotypes compared to morning chronotypes was somewhat elevated (HR 1.19, 95% CI 1.04, 1.36).

conclusionWhile the measures of sleep quality and duration were not associated with post-menopausal breast cancer risk in this prospective analysis, the modestly elevated risk observed for evening chronotypes was consistent with the prior retrospective analysis.

Indexed as

Breast NeoplasmsCircadian RhythmChronotypeFemaleHumansLongitudinal StudiesRetrospective StudiesRisk FactorsSleepSurveys and QuestionnairesBreast cancer riskChronotypeCircadian disruptionCircadian rhythmSleep

Identifiers

PMID37940783
PMCPMC10960753
OpenAlexW4388537440

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.