Prevalence and predictors of sleep problems in women following a cancer diagnosis: results from the women's wellness after cancer program

Eating frequency, timing of meals, and sleep duration before and after a randomized controlled weight loss trial for breast cancer survivors

PURPOSE

To examine eating frequency, timing of meals, and sleep duration before and after a weight loss intervention for breast cancer survivors.

METHODS

Female breast cancer survivors (n = 159; 55 ± 9 years; 31.4 ± 5.0 kg/m2; stage I-III, median [IQR] 9.5 [5.5] months post-diagnosis) participated in a randomized controlled trial of a 12-month weight loss intervention versus usual care. Eating frequency, proportion of daily calories consumed after 5 PM, eating after 8 PM, nightly fasting duration, and sleep duration were estimated and categorized based on existing associations with factors influencing breast cancer prognosis and breast cancer outcomes. These behaviors at baseline were compared to women from an Australian national survey with similar age and BMI range. Mixed-effects linear regression models were used to examine the changes in health behaviors from baseline to 18 months between intervention and usual care groups.

RESULTS

Before the trial, eating after 8 PM (67%) was higher, and short nightly fasting duration (< 13 h, 83%) and long sleep duration (> 9 h/day, 26%) were marginally higher, in breast cancer survivors than women in the national survey (52%, 75%, and 17%, respectively). "Less optimal" eating behaviors and sleep duration tended to co-occur. Behaviors remained unchanged over the 18-month follow-up, irrespective of the study group (p > 0.05; Cohen's effect sizes < 0.3).

CONCLUSIONS

Later timing of eating and long sleep duration were prevalent in breast cancer survivors and continued following a weight loss intervention.

IMPLICATIONS FOR CANCER SURVIVORS

Future multi-behavior interventions in breast cancer survivors should consider specific messages to target eating timing behaviors and sleep.

Endometroid type endometrial cancer after surgery: unravelling the interplay of sleep, fatigue, and psychological well-being

BACKGROUND

Endometrioid carcinoma, originating in the endometrium glandular cells, is often detected early and treated by surgery. However, post-treatment life quality remains poorly studied, explicitly focusing on sleep quality, fatigue, and depression.

METHODS

In this cross-sectional, observational study, 147 female patients with endometrioid-type endometrial carcinoma were evaluated using standardised tools-Pittsburgh Sleep Quality Index (PSQI), Fatigue Assessment Scale (FAS), and Beck Depression Inventory (BDI). Patients were categorised based on sleep quality and depression levels. The study employed correlation and regression analyses to examine the relationships among these variables.

RESULTS

No correlations were found between sociodemographic or lifestyle variables and sleep quality, fatigue, or depression (P > 0.05). A strong correlation was identified between PSQI and FAS (r = 0.623; P < 0.001), PSQI and BDI (r = 0.291; P < 0.001), and FAS and BDI (r = 0.413; P < 0.001). Fatigue and tumour grade were potential predictors of poor sleep. Sleep quality and depression predicted fatigue, while only fatigue was a predictor for depression. Radiotherapy and external radiation rates were notably higher in the mild depression group.

CONCLUSIONS

Our study suggests an imperative for integrated multi-disciplinary approaches that focus on medical and psychological aspects of patient care to enhance long-term well-being and quality of life.

The Mediating Effect of Coping Style in the Relationship Between Sleep Quality and Perceived Cognitive Impairment Among Breast Cancer Patients: A Cross-sectional Study

BACKGROUND

Perceived cognitive impairment is a significant symptom experienced by breast cancer patients and may be affected by sleep quality. Coping styles have potential relevancies with both sleep quality and perceived cognitive impairment. However, the empirical evidence supporting their association among breast cancer patients is limited.

OBJECTIVE

This study explored the associations between sleep quality, coping styles, and perceived cognitive impairment and tested the mediating role of coping styles in breast cancer patients.

METHODS

A total of 294 breast cancer patients were included in this cross-sectional study. Patients were assessed using the Pittsburgh Sleep Index Scale, the Simplified Coping Styles Questionnaire, and the Functional Assessment of Cancer Therapy-Cognitive Functioning (Version 3) Scale. The data were analyzed using SPSS and Process macros.

RESULTS

The direct effect of sleep quality on reported cognitive impairment was significant (β = -0.245, P < .001). Furthermore, sleep quality was found to have a significant indirect effect on perceived cognitive impairment through positive coping style (β = -0.026, P < .05) and negative coping style (β = -0.131, P < .05).

CONCLUSIONS

Our research suggests that sleep quality has both a direct effect on perceived cognitive impairment and an indirect effect through positive and negative coping styles in breast cancer patients. Moreover, negative coping style had a more pronounced mediating effect than positive coping style.

IMPLICATIONS FOR PRACTICE

Clinical medical staff could reduce the perceived cognitive impairment of breast cancer patients by improving their sleep quality and encouraging them to adopt a more positive coping style.

Global prevalence of poor sleep quality in cancer patients: A systematic review and meta-analysis

OBJECTIVE

Poor sleep quality is common in patients with cancer, but the prevalence rates varied widely across studies. This systematic review and meta-analysis examined the pooled prevalence of poor sleep quality among patients with cancer.

METHODS

Systematic literature searches were independently conducted in the major databases (Web of Science, PubMed, EMBASE and PsycINFO). Studies that reported the prevalence of poor sleep quality in patients with cancer were analyzed using a random effects model. Funnel plots and Egger's tests were used to assess publication bias. Statistical analyses were performed using R software.

RESULTS

A total of 59 epidemiological studies involving 16,223 patients were included. The pooled prevalence of poor sleep quality in patients with cancer was 57.4% [95% confidence interval (CI): 53.3% - 61.6%]. Additionally, three comparative studies with 372 patients and 412 healthy controls were included. Compared to healthy controls, patients with cancer had a significantly higher risk for poor sleep quality [odd ratio (OR) = 3.0; 95%CI: 1.2-7.2; P < 0.05]. Subgroup analyses of the studies revealed that studies from Middle East & North Africa region and low income countries, and on gynecological cancer as well as those with a lower cut-off value of sleep quality (all P < 0.01) reported a higher prevalence of poor sleep quality. Meta-regression analyses showed that higher prevalence of poor sleep quality was associated with higher prevalence of comorbid depression (P < 0.05) and anxiety (P < 0.01), but was associated with a lower education level (P < 0.05) and alcohol use ratio (P < 0.05).

CONCLUSION

Poor sleep quality is common among patients with cancer. Considering the overall high prevalence rate and negative impact of poor sleep quality, appropriate measures to identify and improve poor sleep quality are needed to enhance the clinical outcomes in this group.