Vasomotor and depressive symptoms are primary correlates of poor sleep quality in postmenopausal women, regardless of breast cancer history
In a cross-sectional study of 102 postmenopausal women (64 with breast cancer, 38 without), global PSQI scores were similar between groups, and 34.3% were classified as poor sleepers. Vasomotor symptoms (β=0.22, P=.004) and depressive symptoms (β=0.45, P<.001) were significant correlates of sleep quality, together with employment and smoking, explaining 54% of variance. Breast cancer survivorship was not associated with sleep quality.
Evidence Score
Study Evidence
Study 1. Menopausal Symptoms, Depression, and Sleep Quality Among Postmenopausal Women With and Without Breast Cancer.
observationalKim I, Park NJ · Cancer nursing (2026)
Result:
Mechanism Graph
Limitations
- ⚠Cross-sectional design prevents causal inference
- ⚠Small sample size (n=102) and unequal group sizes (64 vs 38) may limit generalizability
- ⚠Self-reported measures (PSQI, CES-D) may introduce recall bias
Frequently Asked Questions
Does breast cancer history affect sleep quality in postmenopausal women?▼
No, breast cancer survivorship was not associated with sleep quality in this study; sleep quality was similar between breast cancer survivors and healthy comparisons.
What factors are most strongly linked to poor sleep in postmenopausal women?▼
Depressive symptoms (β=0.45) and vasomotor symptoms (β=0.22) were the strongest correlates, along with employment and smoking, explaining 54% of the variance in PSQI scores.
What percentage of postmenopausal women in this study were poor sleepers?▼
34.3% of the women were classified as poor sleepers (PSQI >5).
What sleep components were most affected in this population?▼
Most women had adequate sleep latency (66.7%), efficiency (74.5%), and subjective quality (90.2%), but only 25.5% achieved more than 7 hours of sleep per night.
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References
- 1.Kim I, Park NJ. "Menopausal Symptoms, Depression, and Sleep Quality Among Postmenopausal Women With and Without Breast Cancer.." Cancer nursing, 2026. PMID: 42608713 DOI: 10.1097/NCC.0000000000001630