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睡眠特征与乳腺癌发病风险、不良进展及死亡率的关系:一项全球系统评价与荟萃分析的证据

Sleep Traits to the Risk of Breast Cancer Disease Incidence, Adverse Progression and Mortality: Evidence From a Global Systematic Review and Meta-Analysis.

作者信息

Zhang Jingya, Lu Yongbo, Zhang Ning, Ning Wei, Zhu Bin, Mao Ying

机构信息

School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.

Vanke School of Public Health, Tsinghua University, Beijing, China.

出版信息

Int J Public Health. 2025 Jul 15;70:1608535. doi: 10.3389/ijph.2025.1608535. eCollection 2025.

DOI:10.3389/ijph.2025.1608535
PMID:40735026
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12303857/
Abstract

OBJECTIVES

This study aimed to identify the effect of sleep traits on the risk of breast cancer incidence and adverse progression and mortality.

METHODS

Cohort studies measuring the relationship between sleep traits (including sleep quality and sleep duration) and breast cancer risk were eligible for inclusion. We searched the Web of Science, PubMed, EMBASE and Cochrane library databases for studies published between 2014 and 2024. Maximum covariate-adjusted odds ratio (OR) was combined. A fixed or a randomized effect model was applied according to the heterogeneity.

RESULTS

34 studies met the inclusion and exclusion criteria. Low quality sleep significantly increased the risk of incidence (OR:1.09, 95%CI:1.05-1.13), adverse progression (OR:1.55,95%CI:1.51-1.59), and specific mortality (OR:1.54, 95%CI:1.50-1.58) of breast cancer. Sleep duration >9 h had a poor effect on breast cancer-specific mortality (OR:1.45,95%CI:1.02-2.04).

CONCLUSIONS

The available evidence points to sleep traits as primarily influencing progression in breast cancer patients and having a relatively small effect on breast cancer incidence. Prolonged sleep may lead to breast cancer-specific mortality, but more research is needed in the future to continue to explore the impact of sleep duration and breast cancer risk.

摘要

目的

本研究旨在确定睡眠特征对乳腺癌发病风险、不良进展及死亡率的影响。

方法

纳入测量睡眠特征(包括睡眠质量和睡眠时间)与乳腺癌风险之间关系的队列研究。我们检索了科学网、PubMed、EMBASE和Cochrane图书馆数据库,查找2014年至2024年发表的研究。合并最大协变量调整优势比(OR)。根据异质性应用固定效应模型或随机效应模型。

结果

34项研究符合纳入和排除标准。睡眠质量差显著增加乳腺癌的发病风险(OR:1.09,95%CI:1.05 - 1.13)、不良进展风险(OR:1.55,95%CI:1.51 - 1.59)及特定死亡率(OR:1.54,95%CI:1.50 - 1.58)。睡眠时间>9小时对乳腺癌特定死亡率有不良影响(OR:1.45,95%CI:1.02 - 2.04)。

结论

现有证据表明睡眠特征主要影响乳腺癌患者的病情进展,对乳腺癌发病率的影响相对较小。长时间睡眠可能导致乳腺癌特定死亡率升高,但未来还需要更多研究继续探索睡眠时间与乳腺癌风险之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/817f/12303857/4ea94ff0c7b8/ijph-70-1608535-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/817f/12303857/d100c2f47d64/ijph-70-1608535-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/817f/12303857/ba6295001ea6/ijph-70-1608535-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/817f/12303857/4ea94ff0c7b8/ijph-70-1608535-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/817f/12303857/d100c2f47d64/ijph-70-1608535-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/817f/12303857/ba6295001ea6/ijph-70-1608535-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/817f/12303857/4ea94ff0c7b8/ijph-70-1608535-g003.jpg

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