Factors Associated With Poor Sleep in Older Women Diagnosed With Breast Cancer

Associations between health-related fitness and patient-reported symptoms in newly diagnosed breast cancer patients

BACKGROUND

Newly diagnosed breast cancer patients experience symptoms that may affect their quality of life, treatment outcomes, and survival. Preventing and managing breast cancer-related symptoms soon after diagnosis is essential. The purpose of this study was to investigate the associations between health-related fitness (HRF) and patient-reported symptoms in newly diagnosed breast cancer patients.

METHODS

This study utilized baseline data from the Alberta Moving Beyond Breast Cancer Cohort Study that were collected within 90 days of diagnosis. HRF measures included peak cardiopulmonary fitness (peak volume of oxygen consumption [VO2peak]), maximal muscular strength and endurance, flexibility, and body composition. Symptom measures included depression, sleep quality, and fatigue. Adjusted multivariable logistic regression was performed for analyses.

RESULTS

Of 1458 participants, 51.5% reported poor sleep quality, 26.5% reported significant fatigue, and 10.4% reported moderate depression. In multivariable-adjusted models, lower relative VO2peak was independently associated with a greater likelihood of all symptom measures, including moderate depression (p < 0.001), poor sleep quality (p = 0.009), significant fatigue (p = 0.008), any symptom (p < 0.001), and multiple symptoms (p < 0.001). VO2peak demonstrated threshold associations with all symptom measures such that all 3 lower quartiles exhibited similar elevated risk compared to the highest quartile. The strength of the threshold associations varied by the symptom measure with odds ratios ranging from ∼1.5 for poor sleep quality to ∼3.0 for moderate depression and multiple symptoms. Moreover, lower relative upper body muscular endurance was also independently associated with fatigue in a dose-response manner (p = 0.001), and higher body weight was independently associated with poor sleep quality in an inverted U pattern (p = 0.021).

CONCLUSION

Relative VO2peak appears to be a critical HRF component associated with multiple patient-reported symptoms in newly diagnosed breast cancer patients. Other HRF parameters may also be important for specific symptoms. Exercise interventions targeting different HRF components may help newly diagnosed breast cancer patients manage specific symptoms and improve outcomes.

Sleep Quality and Associated Factors Among Adult Cancer Patients on Treatments at Tikur Anbessa Specialized Hospital Oncology Unit, Addis Ababa, Ethiopia, 2021

BACKGROUND

Patients with cancer frequently reported sleep problems during their treatments which can affect their sleep quality have an impact on patients' quality of life (QOL).

OBJECTIVE

to assess the prevalence of sleep quality and associated factors in adult cancer patients on treatment in the Oncology unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, 2021.

METHODS

institutional-based cross-sectional study design was used and data was collected by using face-to-face structured interview questionnaires from March 1 to April 1, 2021. Sleep Quality Index (PSQI) consisted of 19 items, the social support scale (OSS-3) consisted of 3 items, and the Hospital Anxiety and Depression Scale (HADS) consisted of 14 items were applied. Logistic regression including bivariate and multivariate analysis was done to examine the association between dependent and independent variables, and P< 0.05 was considered the level of significance for associations.

RESULTS

A total of 264 sampled adult cancer patients on treatments were included in this study, with a response rate of 93.61%. About 26.5% of the participants' age distribution was between 40 to 49 years, and 68.6% were female. 59.8% of the study participants were married. Concerning education, about 48.9% of participants attended primary and secondary school and 45% of participants were unemployed. Overall, 53.79% of individuals had poor sleep quality. Low income ((AOR=5.36 CI 95% (2.23, 12.90), fatigue (AOR=2.89 CI 95(1.32, 6.33), pain (AOR 3.82 C I95 % (1.84, 7.93), poor of social support (AOR =3.20 CI 95% (1.43, 6.74), anxiety (AOR=3.48 CI 95% (1.44, 8.38) and depression (AOR 2.87 CI 95 % (1.05-7.391) were all associated with poor sleep quality.

CONCLUSION

This study revealed a high prevalence of poor sleep quality, which was significantly associated with factors like low income, fatigue, pain, poor social support, anxiety, and depression among cancer patients on treatments.

The effect of acupressure or reiki interventions on the levels of pain and fatigue of cancer patients receiving palliative care: A randomized controlled study

OBJECTIVE

Taking pain under control is important to calm the individual and reduce complications. This research was conducted with the aim of determining the effect of Acupressure or Reiki interventions on the levels of pain and fatigue of stage III and IV cancer patients receiving palliative care.

METHOD

The research was a single-blind, repeated measures, randomized controlled study. Research data were collected between February and November 2022. The research sample consisted of Acupressure and Reiki intervention groups and a control group with 52 patients in each group for a total of 156 patients. Acupressure or Reiki was applied to their intervention groups for a total of eight sessions of 20 min each over four weeks, once a day on two days a week. Data were collected by means of a patient description form, an analgesic follow-up form, the Numeric Pain Rating Scale, and the Brief Fatigue Inventory.

RESULTS

In comparison with the control group, a significant reduction was seen over time in the levels of pain (p < 0.001), analgesic use (p < 0.001), and fatigue (p < 0.001) in the Acupressure or Reiki intervention groups.

CONCLUSION

Acupressure or Reiki interventions were found to effective in reducing levels of pain, analgesic use, and fatigue. It was seen that in addition to their use in routine nursing care, both treatments can be accepted as effective nursing interventions that reduce pain and fatigue in stage III and IV cancer patients receiving palliative care.

Association between Agility, Health-Related Quality of Life, Depression, and Anthropometric Variables in Physically Active Older Adult Women with Depression

Introduction. Depressive disorders are mental disorders that last over time, and seriously affect the lives of the people who suffer from them, diminishing their quality of life, reducing their motor capacity, and incapacitating them in their daily lives. It is a major problem worldwide. Objective. To study the association between agility, health-related quality of life (hrqol), anthropometric status, and depression status in older adult women with depression. Design. Data collected from 685 physically active older women with depression were analyzed. Result. A moderate inverse correlation (r = −0.34) is shown between Time Up & Go (TUG) and EuroQol Five-Dimensional Three-Level Version (EQ-5D-3L). Between TUG and Geriatric Depression Scale (GDS), there is a small direct correlation (r = 0.14) between them. Between TUG and anthropometric data, all observed correlations are significant. Conclusions. There is a significant association between agility, health-related quality of life, depression, and anthropometric data in physically active older women with depression.

Sleep disorders and their relationship to other psychiatric disorders in women with breast cancer: a case-control study

Background

Breast cancer is the most frequent cancer among women, impacting 2.1 million women each year. The aim of the study is to determine prevalence of sleep disorders among patients with breast cancer, its correlation with different psychological symptoms and the ability of such symptoms to predict sleep disorders among those patients. The current study is a case-control study compromised of 153 participants, 93 breast cancer patients versus 60 cross-matched healthy control persons recruited from the outpatient clinic of Oncology Department—Assiut University Hospital. Arabic versions of Beck’s Depression Inventory, symptom checklist, and Sleep Disorder Scale were used to evaluate depression, obsession, sensitivity, anxiety, hostility, phobic anxiety, paranoia ideation, psychoticism, and sleep disorders, respectively. The correlation of this data with clinical and social variables of these patients and the effect of such variables on each other were also determined.

Results

A statistically higher prevalence of sleep disorders and depression was reported among breast cancer patients compared to the control group. Also, patients with breast cancer scored statistically higher mean scores in somatization, obsession, sensitivity, anxiety, and phobic anxiety than those of the control group.

Conclusions

Prevalence of sleep disorders, depression, obsession, sensitivity, anxiety, hostility, phobic anxiety, paranoia ideation, and psychoticism among breast cancer patients poses a challenge to the treatment of such patients. Misdiagnosis and mismanagement lead to poor treatment outcomes of both cancer disease and psychiatric disorders.

Clinical and Genetic Factors Associated With the Breast Cancer-Related Sleep Disorders: The "CAGE-Sleep" Study-A Cross-Sectional Study

CONTEXT

Despite being among the most reported concerns in breast cancer patients, sleep disturbances are still poorly assessed and managed in routine clinical practice. Correctly evaluating these symptoms and understanding the underlying clinical and genetic factors would help medical teams develop an adequate treatment strategy for each patient.

OBJECTIVES

1) To explore the severity of insomnia as well as sleep quality in a sample of Lebanese women with breast cancer undergoing chemotherapy; 2) To examine the correlation between sociodemographic, clinical, psychiatric (anxiety and depression), genetic factors, and alterations in sleep patterns.

METHODS

A cross-sectional study was carried out using the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) (December 2017-June 2019; Ethical reference number: CEHDF1016). All patients gave their written consent and were genotyped for several polymorphisms in CLOCK, CRY2, PER2, COMT, DRD2, OPRM1, and ABCB1 genes using Lightcycler® (Roche).

RESULTS

Our sample included a total of 112 women. Almost half of the patients reported insomnia problems (with 20.5% moderate insomnia and 7.1% severe insomnia). Multivariable analyses taking the PSQI score as the dependent variable, showed that higher depression score and dyslipidemia (yes versus no) were significantly associated with higher PSQI scores (worse sleep quality), whereas having the DRD2 CT genotype versus CC and a higher chemotherapy cycle number were significantly associated with lower PSQI scores (better sleep quality). Depression was also significantly associated with higher ISI scores. When forcing all the genes in each model, the results remained the same except for depression that has been replaced by anxiety in the multivariable analysis.

CONCLUSION

Our study confirms the relationship between anxiety/depression, cycle number, dyslipidemia and DRD2 polymorphism with insomnia and highlights the importance of treating all associated factors to improve the overall QOL of patients.

Are Sleep Complaints Related to Cognitive Functioning in Non-Central Nervous System Cancer? A Systematic Review

Patients with non-central nervous system (CNS) cancer frequently report cognitive complaints, that are recurrent and affect their quality of life. In order to improve supportive care of these cognitive difficulties, it is important to identify associated factors. Sleep disturbance is a good candidate to study, as patients with non-CNS cancer frequently report sleep disorders, and sleep plays a key role in cognitive functioning. The objective of the present systematic review was to summarize the results of studies evaluating the relationship between cognition and sleep in non-CNS cancer, and to highlight the need for further studies. PubMed [Medline] and Scopus databases were screened from April to November 2020 for studies published in English evaluating the association between cognition and sleep in adults with non-CNS cancer. The characteristics and risk of bias for each of the 30 included studies have been reported. Greater cognitive complaints in patients with non-CNS cancer were related to poorer self-reported sleep quality in almost all studies (n = 22/24). By contrast, around half of the studies reported a significant association between poorer neuropsychological performances and sleep complaints (n = 5/11). The studies were found to have several limitations, such as the lack of a control group, which would have shed the light on the period of occurrence of this association (e.g. after cancer diagnosis or after cancer treatments). Our review also identified factors that may influence the relationship between cognition and sleep. Recommendations are given for improving the methodology of future studies and extending the impact of their results.

Factors associated with sleep quality during chemotherapy: An integrative review

Aim

To identify the most important factors associated with sleep pattern changes in patients with cancer during chemotherapy treatment.

Design

An integrative review of the literature was performed between December 2017-August 2018.

Methods

Two independent reviewers searching the National Library of Medicine (PubMed/MEDLINE), Cumulative Index of Nursing and Allied Health Literature (CINAHL) and Latin American and Caribbean Literature in Health Sciences (LILACS), Scopus and Scielo. The process followed the recommendations of the PRISMA tool. A total of 16 articles were selected for the final study sample, including 11 cohort studies and 5 cross-sectional studies.

Results

The predisposing factors for the most prevalent sleep disturbances were precipitants related to the disease and the treatment, such as fatigue, pain, depression, anxiety and distress. Predisposing factors related to lifestyle and demographic characteristics have a significant correlation with sleep disturbances.

Breast Cancer Collaborative Registry informs understanding of factors predicting sleep quality

SIGNIFICANCE

Poor sleep quality is a common and persistent problem reported by women with breast cancer (BC). Empirical evidence identifies many risk factors for self-reported sleep deficiency, but inconsistencies limit translation to practice.

PURPOSE

To increase understanding of risk factors predicting self-reported poor sleep quality in women with BC who completed the Breast Cancer Collaborative Registry (BCCR) questionnaire.

METHODS

This cross-sectional study recruited women with a first diagnosis of BC (n = 1302) at five sites in Nebraska and South Dakota. Women completed the BCCR that includes numerous variables as well as the Pittsburgh Sleep Quality Index (PSQI) and SF36v2 (n = 1260). Descriptive statistics and non-parametric correlations were used to determine associations and create predictive models of sleep quality with BCCR variables and SF36v2 subscales.

RESULTS

Most women were white (93.7%) and married (71.5%); mean age was 60.1 (21-90) years. Poor sleep was self-reported by 53% of women. Seven variables were highly associated with sleep quality (p ≤ 0.001). The first model found younger age, lower physical activity, and higher fatigue were the strongest combined and independent variables predicting poor sleep quality (F = 23.0 (p < .001), R² = 0.103). Participants self-reported lower health status on most SF36v2 subscales [Z = 44.9 (11.6) to 49.1 (10.1)]. A second model found that all subscales were predictors of poor sleep; vitality, mental health, bodily pain, and general health were the strongest predictors (F = 101.3 (p < .001), R² = 0.26).

CONCLUSIONS

Results confirm previously identified risk factors and reveal inconsistencies in other variables. Clinicians need to routinely screen for the identified risk factors of self-reported poor sleep quality.