Depressive Symptoms and Sleep Duration as Risk Factors for Breast Cancer — China, 2020

Liu, Liyuan; Bao, Heling; Wang, Fei; Cui, Shude; Cong, Shu; Zhou, Fei; Xiang, Yuzhi; Huang, Shuya; Zheng, Chao; Fang, Liwen; Wang, Lınhong; Yu, Zhigang

doi:10.46234/ccdcw2023.064

Cited by 3 publications

(1 citation statement)

References 10 publications

(15 reference statements)

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“…Moreover, this study identified that short sleep duration could increase the prevalence odds of depressive symptoms, further corroborating prior studies [ 33 ]. Similar finding was confirmed in one study specifically conducted for breast cancer patients [ 44 ]. However, a study focused on gastrointestinal cancer patients produced contrasting results, and found no correlation between sleep duration and depression [ 45 ].…”

Section: Discussionsupporting

confidence: 88%

Factors associated with depressive symptoms among cancer patients: a nationwide cross-sectional study

Chen,

Ye,

Liu

et al. 2024

BMC Public Health

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Objective Research on factors contributing to depressive symptoms in cancer patients at a national level, encompassing a comprehensive set of variables was limited. This study aimed to address this gap by identifying the factors associated with depressive symptoms among cancer patients through a nationwide cross-sectional analysis. Methods Various factors, including demographic, socioeconomic, behavioral patterns, general and self-rated health status, chronic conditions, dietary habits, and cancer-related factors, were examined. Data was from the National Health and Nutrition Examination Survey. Univariate and multivariate logistic regression analyses were performed to identify associated factors. The receiver-operating characteristic (ROC) curve was used to evaluate the performance of the logistic model. Results The findings showed that five sociodemographic factors, two behavioral styles, self-rated health status, comorbid arthritis, two dietary factors and two cancer-related factors were strongly associated with depressive symptoms. Compared with those aged 20–39 years, cancer individuals aged 40–59 years (OR = 0.48, P < 0.05) and those 60 years or older (OR = 0.18, P < 0.05) had lower odds of depression. Positive factors included being never married (OR = 1.98, P < 0.05), widowed, divorced or separated (OR = 1.75, P < 0.05), unemployment (OR = 1.87, P < 0.05), current smoking (OR = 1.84, P < 0.05), inadequate sleep (OR = 1.96, P < 0.05), comorbid arthritis (OR = 1.79, P < 0.05), and poor self-rated health status (OR = 3.53, P < 0.05). No significant association was identified between the Healthy Eating Index 2015 and the Dietary Inflammatory Index with depression (P > 0.05). Shorter cancer diagnosis duration was associated with reduced odds of depression (P < 0.05). The logistic model had an area under the curve of 0.870 (95% CI: 0.846–0.894, P < 0.05). Conclusions Cancer patients should receive enhanced family and social support while cultivating a healthy lifestyle and diet. Incorporating plenty of fruits, greens, and beans is highly recommended, along with establishing a comprehensive health management framework.

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Section: Discussionsupporting

confidence: 88%

Factors associated with depressive symptoms among cancer patients: a nationwide cross-sectional study

Chen,

Ye,

Liu

et al. 2024

BMC Public Health

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Effect of genetic liability to migraine and its subtypes on breast cancer: a mendelian randomization study

Fang,

Zhang,

Zhou

et al. 2023

BMC Cancer

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Background The relationship between migraine and breast cancer risk has generated conflicting findings. We attempted to assess the association between migraine and breast cancer risk using Mendelian randomization (MR) analysis. Methods We selected genetic instruments associated with migraine from a recently published genome-wide association studies (GWAS). Inverse variant weighted (IVW) analysis was adopted as the main method, and we also performed the weighted-median method and the MR‒Egger, MR pleiotropy residual sum and outlier (MR-PRESSO), and MR Robust Adjusted Profile Score (MR-RAPS) methods as supplements. Results Our MR suggested that any migraine (AM) was a risk factor for overall breast cancer (IVW: odds ratio (OR) = 1.072, 95% confidence intervals (CI) = 1.035–1.110, P = 8.78 × 10− 5, false discovery rate (FDR) = 7.36 × 10− 4) and estrogen receptor-positive (ER+) breast cancer (IVW: OR = 1.066, 95% CI = 1.023–1.111, P = 0.0024; FDR = 0.0108) but not estrogen receptor-negative (ER-) breast cancer. In its subtype analysis, women with a history of migraine without aura (MO) had an increased risk of ER- breast cancer (IVW: OR = 1.089, 95% CI = 1.019–1.163, P = 0.0118, FDR = 0.0354), and MO was suggestively associated with the risk of overall breast cancer (FDR > 0.05 and IVW P < 0.05). No significant heterogeneity or horizontal pleiotropy was found in the sensitivity analysis. Conclusion This study suggested that women with AM have an increased risk of overall breast cancer and ER + breast cancer. MO was suggestively associated with the risk of overall breast cancer and ER- breast cancer.

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Causal relationships between sleep duration and risk of breast tumors: A two-sample bi-directional Mendelian randomization study

Shao,

Zhao,

et al. 2023

Preprint

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Background Previous observational studies reported that sleep traits were associated with breast tumors. However, the causal relationship between sleep duration and breast tumors is not clear. Methods We performed a two-sample bi-directional Mendelian randomization (MR) analysis with publicly available GWAS summary statistics to detect the causal relationship between genetically predicted sleep duration and the risk of breast tumors, including breast cancer (estrogen receptor (ER)+/ER-, human epidermal growth factor receptor (HER)2+/HER2-), benign breast tumors, and carcinoma in situ of the breast. The inverse variance weighting (IVW) method was used as the gold standard for MR results, and MR Egger regression, weighted median, weighted mode, and simple mode methods were taken as auxiliary analyses. We also conducted sensitivity analyses, including tests for heterogeneity, horizontal pleiotropy, and leave-one-out analysis, to evaluate the validity of the detected causal relationships. An additional reverse-direction MR analysis was further performed to explore the causal effect of breast tumors on sleep duration. Results Suggestive evidence for the causal effect of genetically predicted sleep duration on breast cancer was identified (odds ratio (OR) = 1.328, 95% confidence interval (CI): 1.013 – 1.741, p = 0.04). When distinguished by molecular phenotype, we found a causal association trend between sleep duration and ER+ and ER- breast cancer (ER+ breast cancer p = 0.051, ER- breast cancer p = 0.077). We did not detect a causal effect of sleep duration on benign breast tumors (OR = 1.002, 95%CI: 0.999 – 1.005, p = 0.242) or carcinoma in situ of the breast (OR = 1.090, 95%CI: 0.403 – 2.947, p = 0.08). Reverse MR analysis did not indicate that having breast cancer could affect sleep duration (OR = 0.998, 95%CI: 0.989 – 1.006, p = 0.670). Conclusions The results of this study identified a causative effect of genetically predicted sleep duration on breast cancer, suggesting that ensuring appropriate sleep duration and avoiding excessive sleep might be helpful for preventing breast cancer.

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Depressive Symptoms and Sleep Duration as Risk Factors for Breast Cancer — China, 2020

Cited by 3 publications

References 10 publications

Factors associated with depressive symptoms among cancer patients: a nationwide cross-sectional study

Factors associated with depressive symptoms among cancer patients: a nationwide cross-sectional study

Effect of genetic liability to migraine and its subtypes on breast cancer: a mendelian randomization study

Causal relationships between sleep duration and risk of breast tumors: A two-sample bi-directional Mendelian randomization study

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