Evidence map›Paper›PMID 42730143›Full record

ArticleWorld journal of oncology2026

Association Between Sleep Disorders and Breast Cancer: An Analysis Based on NHANES and Mendelian Randomization.

Si Yan Chen, Jian Di Li, Ke Jun Wu, Jia Ming Zhang, Liu Mei Zhou, Guo Qiang Chen, Bei Bei Huang, Jing Wen Ling, Gang Chen, Jian Dai

Abstract read
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Article in World journal of oncology, 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

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Si Yan ChenDay Chemotherapy Center, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Jian Di LiDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Ke Jun WuDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Jia Ming ZhangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Liu Mei ZhouDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Guo Qiang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Bei Bei HuangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Jing Wen LingDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Jian DaiDepartment of Clinical Psychology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, Guangxi Zhuang Autonomous Region, China.ORCID https://orcid.org/0009-0002-1508-8140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to assess the association between sleep disorders and breast cancer (BC) in the National Health and Nutrition Examination Survey (NHANES) and to evaluate potential causal associations using Mendelian randomization (MR), with separate analyses of estrogen receptor-positive (ER+) and estrogen receptor-negative (ER-) BC. Methods: This study was based on cross-sectional data from the NHANES 2007-2018, including a total of 8,366 female participants. A weighted multivariable logistic regression model was used to analyze the association between sleep disorders and BC, with stepwise adjustment of covariates. Further subgroup analyses were conducted by covariates. Two-sample MR was applied to evaluate the potential causal association between sleep disorders and BC (including ER+ and ER- subtypes). Results: Analysis of NHANES 2007-2018 cross-sectional data showed that among 8,366 female participants, 33.8% of BC patients reported sleep disorders, which was significantly higher than that in the non-cancer group (27.9%, P = 0.035). However, in the weighted logistic regression model with multivariable adjustment, no significant association was observed between sleep disorders and BC risk (model 3: odds ratio (OR) = 0.814, 95% confidence interval (CI): 0.553-1.196, P = 0.298). Subgroup analysis revealed a significant positive correlation between sleep disorders and BC risk in Mexican Americans (OR = 2.801, 95% CI: 1.302-6.025) and participants with low body mass index (BMI) (OR = 2.705, 95% CI: 1.332-5.494), whereas a significant negative correlation was found in diabetic patients (OR = 0.383, 95% CI: 0.199-0.738). Two-sample MR showed no significant causal effect of sleep disorders on ER+ BC risk (inverse variance weighted (IVW) method: OR = 0.98, 95% CI: 0.94-1.02, P = 0.304). For ER- BC, IVW showed a modest positive association (OR = 1.070, 95% CI 1.013-1.130; P = 0.016), whereas the other MR methods were not statistically significant. No significant bias was detected by heterogeneity test (Cochran's Q test, P > 0.05) or pleiotropy analysis (MR-Egger intercept test, P = 0.662). Leave-one-out sensitivity analysis and funnel plot further confirmed the robustness and symmetry of the results. Conclusion: The cross-sectional analysis found no overall association between sleep disorders and BC. MR provided suggestive evidence of a modest association between genetically predicted sleep disorders and ER-, but not ER+, BC; this finding requires cautious interpretation and further validation.

Indexed as

Breast cancerMendelian randomizationNational Health and Nutrition Examination SurveySleep disorders

Identifiers

PMID42730143
PMCPMC13568760

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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.