Sleep duration and breast cancer risk among black and white women

Abstract Study Objectives To investigate the association between sleep duration and breast cancer incidence, we examined the association in a large UK prospective study and conducted a meta-analysis of prospective studies. Methods In the Million Women Study, usual sleep duration over a 24-h period was collected in 2001 for 713,150 participants without prior cancer, heart problems, stroke, or diabetes (mean age = 60 years). Follow-up for breast cancer was by record linkage to national cancer registry data for 14.3 years on average from the 3-year resurvey. Cox regression models yielded multivariable-adjusted breast cancer relative risks (RR) and 95% confidence intervals (CIs) for sleep duration categories. Published prospective studies of sleep duration and breast cancer risk were included in a meta-analysis, which estimated the inverse-variance weighted average of study-specific log RRs for short and for long versus average duration sleep. Results After excluding the first 5 years to minimize reverse causation bias in the Million Women Study, 24,476 women developed breast cancer. Compared with 7–8 h of sleep, the RRs for <6, 6, 9, and >9 h of sleep were 1.01 (95% CI, 0.95–1.07), 0.99 (0.96–1.03), 1.01 (0.96–1.06), and 1.03 (0.95–1.12), respectively. In a meta-analysis of 14 prospective studies plus the Million Women Study, including 65,410 breast cancer cases, neither short (RR < 7 h = 0.99 [0.98–1.01]) nor long (RR > 8 h = 1.01 [0.98–1.04]) versus average duration sleep was associated with breast cancer risk. Conclusions The totality of the prospective evidence does not support an association between sleep duration and breast cancer risk.

Download Full-text

Abstract 2181: Association of sleep duration, daytime napping, and night shift work with breast cancer risk

10.1158/1538-7445.am2014-2181 ◽

2014 ◽

Cited By ~ 1

Author(s):

Zefang Ren

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Sleep Duration ◽

Shift Work ◽

Night Shift ◽

Night Shift Work

Download Full-text

Abstract C86: Active smoking and breast cancer risk among Hispanic and non-Hispanic white women from the Breast Cancer Health Disparities Study

10.1158/1538-7755.disp13-c86 ◽

2014 ◽

Author(s):

Avonne E. Connor ◽

Kathy B. Baumgartner ◽

Richard N. Baumgartner ◽

Christina M. Pinkston ◽

Stephanie D. Boone ◽

...

Keyword(s):

Breast Cancer ◽

Health Disparities ◽

Breast Cancer Risk ◽

Cancer Risk ◽

White Women ◽

Active Smoking ◽

Cancer Health Disparities ◽

Hispanic White

Download Full-text

Investigating causal relations between sleep traits and risk of breast cancer in women: mendelian randomisation study

BMJ ◽

10.1136/bmj.l2327 ◽

2019 ◽

pp. l2327 ◽

Cited By ~ 15

Author(s):

Rebecca C Richmond ◽

Emma L Anderson ◽

Hassan S Dashti ◽

Samuel E Jones ◽

Jacqueline M Lane ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Protective Effect ◽

Sleep Duration ◽

Breast Cancer Diagnosis ◽

Mendelian Randomisation ◽

Uk Biobank ◽

Multivariable Regression ◽

Insomnia Symptoms

Abstract Objective To examine whether sleep traits have a causal effect on risk of breast cancer. Design Mendelian randomisation study. Setting UK Biobank prospective cohort study and Breast Cancer Association Consortium (BCAC) case-control genome-wide association study. Participants 156 848 women in the multivariable regression and one sample mendelian randomisation (MR) analysis in UK Biobank (7784 with a breast cancer diagnosis) and 122 977 breast cancer cases and 105 974 controls from BCAC in the two sample MR analysis. Exposures Self reported chronotype (morning or evening preference), insomnia symptoms, and sleep duration in multivariable regression, and genetic variants robustly associated with these sleep traits. Main outcome measure Breast cancer diagnosis. Results In multivariable regression analysis using UK Biobank data on breast cancer incidence, morning preference was inversely associated with breast cancer (hazard ratio 0.95, 95% confidence interval 0.93 to 0.98 per category increase), whereas there was little evidence for an association between sleep duration and insomnia symptoms. Using 341 single nucleotide polymorphisms (SNPs) associated with chronotype, 91 SNPs associated with sleep duration, and 57 SNPs associated with insomnia symptoms, one sample MR analysis in UK Biobank provided some supportive evidence for a protective effect of morning preference on breast cancer risk (0.85, 0.70, 1.03 per category increase) but imprecise estimates for sleep duration and insomnia symptoms. Two sample MR using data from BCAC supported findings for a protective effect of morning preference (inverse variance weighted odds ratio 0.88, 95% confidence interval 0.82 to 0.93 per category increase) and adverse effect of increased sleep duration (1.19, 1.02 to 1.39 per hour increase) on breast cancer risk (both oestrogen receptor positive and oestrogen receptor negative), whereas evidence for insomnia symptoms was inconsistent. Results were largely robust to sensitivity analyses accounting for horizontal pleiotropy. Conclusions Findings showed consistent evidence for a protective effect of morning preference and suggestive evidence for an adverse effect of increased sleep duration on breast cancer risk.

Download Full-text