Differences in sleep disturbance, fatigue and energy levels between women with and without breast pain prior to breast cancer surgery

Efficacy and safety of acupuncture for the treatment of insomnia in breast cancer patients: A systematic review and meta-analysis

BACKGROUND

Breast cancer-related insomnia is one of the most common symptoms in patients with breast cancer, and acupuncture has been increasingly used in the treatment. However, there has been no meta-analysis that specifically explores the efficacy and safety of acupuncture in treating insomnia related to breast cancer.

OBJECTIVE

The aim of this review was to systematically analyze the existing literature through a meta-analysis to evaluate the effectiveness and safety of acupuncture for breast cancer-related insomnia.

METHODS

Six medical databases were comprehensively searched for previous randomized controlled trials (RCTs) up to April 2024. The Pittsburgh Sleep Quality Index (PSQI) score was the primary outcome. The secondary outcomes include the Insomnia Severity Index (ISI), Sleep Onset Latency (SOL), Wake After Sleep Onset (WASO), Total Sleep Time (TST), and Sleep Efficiency (SE), and the later four outcomes were measured by Actiwatch and sleep diary, respectively.

RESULTS

A total of seven articles with 434 participants were included. The meta-analysis revealed that acupuncture produced a significant improvement in the total PSQI score (MD 95 %CI = -2.16[-2.88, - 1.45], P < 0.001), but had no statistical significance on ISI scores compared with controls (MD 95 %CI = -1.53[-3.97, 0.91], P = 0.22). From the Actiwatch, there was no substantial disparity observed in the enhancement of Sleep Onset Latency (SOL) (MD 95 %CI = -6.40[-13.19, 0.39], P = 0.06), Wake After Sleep Onset (WASO) (MD 95 %CI = -1.45[-7.09, 4.20], P = 0.62), or Total Sleep Time (TST) (MD 95 %CI = 3.54 [-4.71, 11.79], P = 0.40) between the experimental group and the control group. However, a significant distinction was observed in Sleep Efficiency (SE) improvement (MD 95 %CI = 2.43 [0.14, 4.72], P = 0.04). From the sleep diary, there was a significant difference in the amelioration of SOL (MD 95 %CI = -9.15[-16.48, - 1.81], P = 0.01), TST (MD 95 %CI = 29.92 [16.74, 43.10], P < 0.001), and SE (MD 95 %CI = 4.57 [1.92, 7.23], P = 0.0007) between the experimental group and the control group. However, no significant divergence was observed in the improvement of WASO (MD 95 %CI = 4.53[-4.81, 13.87], P = 0.34). All reported acupuncture-related adverse events were mild in severity.

CONCLUSIONS

Acupuncture can partially alleviate insomnia symptoms in breast cancer patients. Moreover, acupuncture is safe and may serve as a dependable alternative therapy in clinical settings. Owing to the limited number of studies included, potential biases of heterogeneous interventions, and methodological weaknesses of long-term follow-up, more high-quality RCTs with large sample sizes should be conducted to evaluate acupuncture treatment.

Returning to Work after Breast Cancer: A One-Year Mixed-Methods Study

Breast cancer (BC) is the most common invasive neoplasm and affects many women of working age. The return to work (RTW) of female survivors (BCSs) is associated with a better quality of life and longer survival. A tailored intervention to promote RTW was launched in 2022. A year later, the women were contacted to find out if RTW had occurred regularly and what their health conditions were compared to the baseline. BCSs reported excessive fatigue, poor sleep quality, anxiety, depression and reduced work ability; these parameters had not improved significantly compared to the baseline. Thematic analysis of the interviews confirmed the presence of personal, company, and societal factors that could hinder or favor RTW. The interviews demonstrated that, even in an economically developed country that has provided numerous benefits for BCSs, protection is not always effective. Personalized intervention seems necessary to complete the process of reintegrating BCSs into their future working careers.

Multidimensional Model of Energy in Patients With Cancer

OBJECTIVES

Evidence suggests that energy is a distinct symptom from fatigue in patients with cancer. The purpose of this paper is to present the Multidimensional Model of Energy in Patients with Cancer (MMEPC) that is based on emerging evidence and to make recommendations for clinical practice and future research.

METHODS

The literature was reviewed to determine various factors associated with variations in energy in patients with cancer. In addition, some of the emerging evidence in the model is supported by studies of energy in the general population and in patients with other chronic conditions.

RESULTS

Based on a review of the literature, specific concepts in the MMEPC include: person factors, clinical factors, cancer-related factors, biological factors, factors associated with energy balance, and co-occurring symptoms. The evidence to support the association between each of these factors and variations in energy levels in patients with cancer is described and synthesized.

CONCLUSION

This article provides emerging evidence on factors that influence variations in energy levels in patients with cancer. While the fundamental biobehavioral and biologic mechanisms that underlie variations in energy levels are not well understood, the model can be used to design pre-clinical and clinical studies of energy in patients with cancer. In addition, while emerging evidence supports the hypothesis that fatigue and energy are distinct symptoms, additional research on common and distinct risk factors and underlying mechanisms is warranted to be able to develop and test precision interventions for one or both symptoms.

IMPLICATIONS FOR NURSING PRACTICE

The risk factors (eg, being female, sleep quality) associated with variations in energy levels in patients with cancer identified in this paper have important clinical implications. Clinicians can use the identified risk factors to guide their assessments; identify high-risk patients with decrements in energy decrement; and develop targeted energy conservation interventions for the patients.

Supporting Return to Work after Breast Cancer: A Mixed Method Study

Breast cancer (BC) is the most common invasive cancer in the world. Most BC survivors (BCSs) continue working while dealing with cancer-related disabilities. BCSs' return-to-work (RTW) after cancer treatment is an important stage of their recovery and is associated with a higher survival rate. In this study, we addressed the RTW of BCSs with the intention of facilitating this process through direct action in the workplace. Thirty-two women who requested assistance from January to December 2022 were enrolled in the study. Semi-structured interviews and medical examinations were conducted by a team of three physicians. Interviews were analyzed using Thematic Analysis. Moreover, a quantitative cross-sectional study was conducted to compare the health status of BCSs with that of a control group of 160 working women, using standardized questionnaires on work ability, fatigue, sleep problems, anxiety, depression, and happiness. BCSs were also asked to rate the level of organizational justice they perceived at work prior to their illness. From the qualitative analysis emerged three facilitating/hindering themes: (1) person-related factors, (2) company-related factors, and (3) society-related factors. In the quantitative analysis, BCSs had significantly higher scores for anxiety, depression, sleep problems and fatigue, and lower levels of happiness than controls. The RTW of BCSs entails adapting working conditions and providing adequate support. The work-related analysis of each case made it possible to highlight the measures that need to be taken in the workplace to promote RTW. The treatment of cancer should be paired with advice on the best way to regain the ability to work.

Pretreatment endocrine symptoms and recurrence-free survival among young premenopausal patients with breast cancer: a prospective cohort study

Background

Pretreatment endocrine symptoms in premenopausal patients might be considered as a potential marker of poor prognosis. We conducted a cohort study to evaluate the association between endocrine symptoms prior to treatment and recurrence-free survival (RFS) among premenopausal patients with breast cancer aged ⩽40 years.

Methods

Data were obtained from a prospective cohort study (NCT03131089) conducted at the Samsung Medical Center from 2013 to 2021. We included patients aged ⩽40 years who had been diagnosed with breast cancer. The primary outcome measure was RFS. Endocrine symptoms were measured using the Functional Assessment of Cancer Therapy - Endocrine Symptoms (FACT-ES). We also calculated the hazard ratio (HR) for recurrence or all-cause mortality by comparing the tertiles of the FACT-ES score at diagnosis.

Results

Among the 977 participants, the mean (standard deviation) age was 35.3 (3.9) years. At diagnosis, 17.2% of the patients had at least one severe endocrine symptom. During 3512 person-years of follow-up, the high symptom group had a worse RFS than the low-symptom group [HR = 2.05; 95% confidence interval (CI) = 1.19-3.54]. In particular, hot flashes (HR = 5.59; 95% CI = 1.96-15.93) and breast sensitivity (HR = 1.82; 95% CI = 1.00-3.32) were associated with reduced RFS.

Conclusion

Close monitoring of pretreatment endocrine symptoms may be important in patients diagnosed with breast cancer at a young age.

Patients with palpitations experience a higher symptom burden prior to breast cancer surgery

PURPOSE

Anxiety, depression, sleep disturbance, fatigue, cognitive dysfunction, and pain are common symptoms reported by patients with breast cancer. Recent evidence suggests that palpitations, a feeling of the heart racing or pounding, may be equally common. Study purpose was to compare the severity and clinically meaningful occurrence rates of common symptoms and quality of life (QOL) outcomes between patients with breast cancer who did and did not report palpitations prior to surgery.

METHODS

Patients (n = 398) were classified as having or not having palpitations using a single item from the Menopausal Symptoms Scale. Valid and reliable measures were used to assess state and trait anxiety, depression, sleep disturbance, fatigue, energy, cognitive function, breast symptoms, and QOL. Between group differences were evaluated using parametric and non-parametric tests.

RESULTS

Patients with palpitations (15.1%) reported significantly higher severity scores for state and trait anxiety, depression, sleep disturbance, and fatigue as well as significant decrements in energy and cognitive function (all p < .05). A higher percentage of these patients had clinically meaningful levels of state anxiety, depression, sleep disturbance and decrements in cognitive function (all p < .05). Except for spiritual well-being, QOL scores were lower in the palpitations group (all p < .001).

CONCLUSION

Findings support the need for routine assessment of palpitations and management of multiple symptoms in women prior to breast cancer surgery.

Insomnia among Cancer Patients in the Real World: Optimising Treatments and Tailored Therapies

BACKGROUND

Insomnia is commonly reported by cancer patients. Its multifaceted pathophysiology makes this symptom a complex challenge for the clinician, who should bear in mind the manifold world of causes and consequences of sleep disturbances in these patients and the importance of accurate treatment that should consider the frequent co-prescription of multiple medications. With our work, we aim to provide a tool to better master the treatment of this symptom in cancer patients, considering the gap between clinical and pharmacodynamic knowledge about the efficacy of different molecules and evidence-based prescribing.

METHODS

A narrative review of the studies investigating the pharmacological treatment of insomnia in cancer patients was conducted. Three hundred and seventy-six randomised controlled trials (RCTs), systematic reviews and meta-analyses were identified through PubMed. Only publications that investigated the efficacy of the pharmacological treatment of insomnia symptoms in cancer patient were considered.

RESULTS

Among the 376 publications that were individuated, fifteen studies were eligible for inclusion in the review and were described. Pharmacological treatments were outlined, with a broad look at specific clinical situations.

CONCLUSIONS

The management of insomnia in cancer patients should be personalised, as is already the case for the treatment of pain, taking into account both the pathophysiology and the other medical treatments prescribed to these patients.

Comparative efficacy and acceptability of interventions for insomnia in breast cancer patients: A protocol for systematic review and network meta-analysis

BACKGROUND

Symptoms of insomnia are highly prevalent in patients with breast cancer. There are a large number of pharmacological and non-pharmacological interventions that can be used for the management of insomnia in breast cancer patients; however, their comparative effectiveness and acceptability remain uncertain. This review aims to evaluate the efficacy and acceptability of different interventions for insomnia in breast cancer patients using a Bayesian network meta-analysis (NMA).

METHODS

We will perform a comprehensive literature search in PubMed, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science, and PsycINFO from inception to November 2022. We will include randomized controlled trials (RCTs) that compared the effects of different interventions on the management of insomnia in breast cancer patients. We will assess the risk of bias assessment using a modified Cochrane instrument. We will conduct a Bayesian random-effects framework NMA to estimate relative effects of interventional procedures. We will use Grading of Recommendations Assessment, Development and Evaluation to rate the certainty of evidence.

DISCUSSION

To our knowledge, this will be the first systematic review and network meta-analysis to compare the effectiveness and acceptability of all currently available interventions for insomnia in patients with breast cancer. The results of our review will help provide more evidence for the treatment of insomnia in breast cancer patients.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number CRD42021282211.

Identify novel, shared and disorder-specific genetic architecture of major depressive disorder, insomnia and chronic pain

Major depressive disorder (MDD), insomnia (INS) and chronic pain (CP) often have high comorbidity and show high genetic correlation. Here we aimed to better characterize their novel, shared and disorder-specific genetic architecture. Based on genome-wide association study (GWAS) summary data, we applied the conditional false discovery rate (condFDR) and conjunctional FDR (conjFDR) approach to investigate the novel and overlapped genetic loci for MDD, INS and CP. In addition, putative disorder-specific SNP associations were analyzed by conditioning the other two traits. The functions of the identified genomic loci were explored by performing gene set enrichment analysis (GSEA) for the loci mapped genes. We identified 22, 43 and 91 novel risk loci for MDD, INS and CP. GSEA for the loci mapped genes highlighted olfactory signaling pathway for MDD novel loci, breast cancer related gene set for both INS and CP novel loci, and nervous system related development, structure and activity for CP. Furthermore, we identified three loci jointly associated with the three disorders, including 13q14.3 locus with nearby gene OLFM4, 14q21.1 locus with nearby gene LRFN5 and 5q21.2 locus located in intergenic region. In addition, we identified one specific loci for MDD, 7 for INS and 11 for CP respectively by conditioning the other two traits, which were mapped to 68 genes for MDD, 85 for INS and 100 for CP. The MDD specific genes are enriched in immune system related pathways. This study increases understanding of the genetic architectures underlying MDD, INS and CP. The shared underlying genetic risk may help to explain the high comorbidity rates of the disorders.

Circadian disruption and cancer- and treatment-related symptoms

Cancer patients experience a number of co-occurring side- and late-effects due to cancer and its treatment including fatigue, sleep difficulties, depressive symptoms, and cognitive impairment. These symptoms can impair quality of life and may persist long after treatment completion. Furthermore, they may exacerbate each other's intensity and development over time. The co-occurrence and interdependent nature of these symptoms suggests a possible shared underlying mechanism. Thus far, hypothesized mechanisms that have been purported to underlie these symptoms include disruptions to the immune and endocrine systems. Recently circadian rhythm disruption has emerged as a related pathophysiological mechanism underlying cancer- and cancer-treatment related symptoms. Circadian rhythms are endogenous biobehavioral cycles lasting approximately 24 hours in humans and generated by the circadian master clock - the hypothalamic suprachiasmatic nucleus. The suprachiasmatic nucleus orchestrates rhythmicity in a wide range of bodily functions including hormone levels, body temperature, immune response, and rest-activity behaviors. In this review, we describe four common approaches to the measurement of circadian rhythms, highlight key research findings on the presence of circadian disruption in cancer patients, and provide a review of the literature on associations between circadian rhythm disruption and cancer- and treatment-related symptoms. Implications for future research and interventions will be discussed.

Factors associated with sleep disturbances in women undergoing treatment for early-stage breast cancer

PURPOSE

The purpose of this study was to examine factors associated with sleep disturbance in women receiving adjuvant therapy for breast cancer.

METHODS

This study employed a cross-sectional design using data collected at 3 months post-surgery from an ongoing longitudinal parent study. Participant data were divided into adjuvant treatment groups (chemotherapy, radiation, and aromatase inhibitors) and no adjuvant treatment groups. Symptoms were measured using patient self-report measures. Analysis of variance was used to assess between adjuvant treatment group differences in sleep disturbance. Regression analysis was performed to assess the relationship between sleep disturbance and other symptoms within adjuvant treatment groups.

RESULTS

The sample included 156 women diagnosed with early-stage breast cancer. There were significant differences in levels of reported sleep disturbance between treatment groups (p = 0.049), with significantly higher levels of sleep disturbances in those receiving radiation compared to those receiving no adjuvant treatment (p = 0.038) and in those receiving chemotherapy and those receiving no adjuvant treatment (p = 0.027). Increased sleep disturbance was found to be a significant predictor for increased pain severity, nausea severity, anxiety, depressive symptoms, fatigue, decreased physical function, and decreased ability to participate in social roles and activities. Co-occurring symptoms with sleep disturbance differed between adjuvant treatment groups. Sleep disturbance was also associated with younger age (p = 0.008).

CONCLUSIONS

Patients undergoing chemotherapy or radiation for breast cancer report higher levels of sleep disturbance than those not receiving adjuvant therapy. Sleep disturbance is associated with other symptoms experienced by patients with cancer and thus requires continual assessment and future research into effective interventions.

Sleep disturbances and non-cyclical breast pain: where to break the vicious cycle?

Purpose

This study aimed to assess the sleep quality of patients with the complaint of non-cyclical breast pain (NCBP), compare them to a healthy control group, and analyze the interrelationship of sleep quality with pain, anxiety, depression, and quality of life.

Methods

This cross-sectional study was conducted in consecutive women presenting to the general surgery clinic between May 2020 and December 2020. Patients diagnosed with NCBP formed one group for study and 44 receiving routine well-woman care formed the control group. Evaluations were undertaken using the Nottingham Health Profile (NHP), short-form McGill Pain Questionnaire (SF-MPQ), Hospital Anxiety and Depression Scale (HADS), and Pittsburgh Sleep Quality Index (PSQI).

Results

Of 160 consecutive patients, 116 were diagnosed with NCBP and 44 controls. Poor sleep quality (PSQI > 5) was present in 59% (n = 69) of the women with NCBP and 38% (n = 17) of the controls (p = 0.018). According to PSQI global score, overall sleep quality was significantly lower in the NCBP group compared to the control group (p < 0.007). Sleep latency, sleep duration, and daytime dysfunction were the major components determining the PSQI global score (p = 0.004, p = 0.004, and p < 0.001, respectively). The correlation matrix revealed a statistically significant correlation between the HAD-A, HAD-D, and SF-MSQ and NHP subgroups and PSQI global score in the NCBP group (p < 0.001) whereas this significant correlation was detected with only the NHP subgroups among the controls.

Conclusions

A considerable proportion of NCBP patients, regardless of sensory or affective characteristics and trajectory of pain, experience significant sleep disturbances. Further studies should be conducted to evaluate the existence of central sensitization syndrome in NCBP patients to determine the required pharmacological treatment.

Evaluation and management of insomnia in women with breast cancer

PURPOSE

Insomnia is a common issue among patients with breast cancer with a potentially devastating impact on quality of life. It can be caused or exacerbated by multiple disease and treatment-related factors. Despite the prevalence and impact of insomnia, it is rarely addressed systematically in the oncology clinic. We conducted a comprehensive review of insomnia to guide clinical care of patient's with breast cancer and insomnia.

METHODS

This manuscript reviews the prevalence, etiology, emerging science and both non-pharmacologic and pharmacologic options for treatment of insomnia among patients with breast cancer.

RESULTS

Multiple factors contribute to insomnia among patients with breast cancer including endocrine therapy and hotflashes, pain and discomfort from local therapy, and fear of recurrence. If we do identify insomnia, there are treatment options and strategies available to help patients. In particular, there is now a considerable body of evidence supporting the use of psychosocial interventions and behavioral treatments, such as cognitive behavioral therapy for insomnia (CBT-I), yoga, and mind-body programs. It is also important for oncology providers to be educated regarding available pharmacologic therapies and emerging data for cannabis-based therapy.

CONCLUSION

This manuscript provides an up-to-date and comprehensive review of the prevalence, etiology, and treatment approaches available for insomnia for clinicians treating patients with breast cancer. We also address strategies and goals for cancer care delivery and future research.

Poor preoperative sleep quality is a risk factor for severe postoperative pain after breast cancer surgery: A prospective cohort study

The aim of this study was to assess the effect of preoperative sleep quality on acute postoperative pain in breast cancer patients.The Pittsburgh Sleep Quality Index questionnaire (PSQI) was used to assess the overall sleep status of women scheduled for unilateral modified radical mastectomy in the past month. Based on the responses, patients were allocated to good sleep group or poor sleep group. Postoperatively, acute pain was assessed using the numerical rating score in the first 24 hours; in addition, the requirement of analgesics and the incidence of postoperative complications were recorded.A total of 108 breast surgery patients were enrolled. Based on the PSQI results, 55 (51%) patients were allocated to poor sleep group and 53 (49%) to good sleep group. Pain scores were similar in the 2 groups at the end of surgery (P = .589); however, poor sleep group reported higher postoperative pain scores than the good sleep group at 2 (P = .002), 6 (P < .001), 12 (P < .001), and 24 (P = .002) hours after surgery. The incidence of severe pain in the poor sleep group was higher than that in the good sleep group (27% vs 8%, P = .018), and the ratio of participants who required rescued analgesics was greater in the poor sleep group (52% vs 22%, P = .002). In addition, patients with poor sleep quality had more postoperative complications and longer hospital stay.In this study, breast cancer patients with poor preoperative sleep quality reported more severe postoperative pain, required more analgesics, experienced more complications, and had longer hospital stay.

The Association Between Yoga Use, Physical Function, and Employment in Adults With Rheumatoid Arthritis

Mind-body exercises such as yoga offer patients with rheumatoid arthritis (RA) a symptom management strategy for improving physical and mental health. Studies have evaluated yoga to manage symptoms of RA and improve physical function; however, none has examined the relationship between yoga and work status in adults with RA. The objective was to describe differences in RA symptomatology, physical function scores, and work status between adults with RA who participate in yoga and those who do not. This cross-sectional study surveyed adults with rheumatologist-diagnosed RA regarding yoga use in the past year, symptoms, physical function, and work status. Differences between yoga and non-yoga participation groups were assessed with 2-sided t tests or Pearson χ tests. Multivariate linear regression analyses were conducted to identify significant associations between yoga participation and primary outcomes. The sample included 398 adults with RA; 88% were females, 66% were white, mean age 61.8 years, mean disease duration 24.8 years; 10.6% participated in yoga. Vinyasa, Bikram, Hatha, Iyengar, and restorative yoga styles were practiced, mostly in a group setting. Yoga participants were significantly more likely to work full-time, less likely to be unable to work due to disability, and had better physical function. These findings characterize yoga practice and practitioners among adults with RA. In adults with RA, yoga participation is associated with full-time work status and better physical function than nonparticipation. This study adds additional information to the growing body of literature about adults with RA who practice yoga.

Influence of Menopausal Status on the Symptom Experience of Women Before Breast Cancer Surgery

BACKGROUND

Breast cancer treatments can change women's hormonal milieu and alter their symptom experience. Little is known about associations between menopausal status and menopausal symptoms in women with breast cancer before surgery.

OBJECTIVE

The purpose of this study was to evaluate for differences in occurrence, severity, and distress of symptoms between premenopausal and postmenopausal women before breast cancer surgery.

METHODS

A total of 312 women with breast cancer completed the Menopausal Symptoms Scale, a self-report measure that evaluated the occurrence, severity, and distress of 46 common symptoms associated with menopause. Regression analyses were used to evaluate for between-group differences in these symptoms.

RESULTS

Of the 312 patients enrolled, 37.4% (n = 116) were premenopausal, and 62.6% (n = 196) were postmenopausal. In the multivariate analysis that adjusted for 7 covariates, premenopausal patients reported higher occurrence rates for urinary frequency (P = .006) and reported lower occurrence rates for joint pain/stiffness (P = .011), difficulty falling asleep (P = .025), and vaginal dryness (P = .002). A significant interaction was found between age and menopausal status for hot flashes (P = .002), wake during the night (P = .025), and headache (P = .040).

CONCLUSION

Regardless of menopausal status, women reported high occurrence rates for several menopausal symptoms. Associations between some symptom occurrence rates and menopausal status depended on the patients' age.

IMPLICATIONS FOR PRACTICE

As part of a preoperative symptom assessment, clinicians need to consider a woman's menopausal status and salient demographic and clinical characteristics. The identification of women with a higher symptom burden will assist with more effective management.

Menopausal-Related Symptoms in Women One Year After Breast Cancer Surgery

CONTEXT

Approximately 60% to 100% of women with breast cancer experience at least one menopausal-related symptom. Little is known about associations between menopausal status and symptoms in women 12 months after breast cancer surgery.

OBJECTIVES

The purpose of this study was to evaluate for differences in occurrence, severity, and distress of symptoms between pre- and postmenopausal women 12 months after breast cancer surgery.

METHODS

Women with breast cancer (n = 327) completed the Menopausal Symptoms Scale, which evaluated the occurrence, severity, and distress of 46 common menopausal-related symptoms. Regression analyses were used to evaluate between-group differences in the seven symptoms that occurred in 30% and more of the sample (i.e., hot flashes, night sweats, depression, daytime sweats, joint pain or stiffness, wake during the night, and numbness or tingling).

RESULTS

Of the 327 patients with breast cancer, who completed the 12-month assessment, 35.2% were premenopausal and 64.8% were postmenopausal before surgery. In the conditional models, when significant interactions were found, the differences in symptom occurrence rates between pre- and postmenopausal patients depended on their age.

CONCLUSION

Regardless of menopausal status, women reported relatively high occurrence rates for several menopausal symptoms. Associations between symptom occurrence rates and menopausal status depended on the patient's age. During the development of a survivorship care plan, clinicians need to assess symptom burden within the context of a woman's menopausal status and salient demographic and clinical characteristics. This approach will assist with the prescription of more effective interventions.

Perceived fatigue and energy are independent unipolar states: Supporting evidence

Persistent fatigue is a common problem (∼20-45% of U.S. population), with higher prevalence and severity in people with medical conditions such as cancer, depression, fibromyalgia, heart failure, sleep apnea and multiple sclerosis. There are few FDA-approved treatments for fatigue and great disagreement on how to measure fatigue, with over 250 instruments used in research. Many instruments define fatigue as "a lack of energy", thus viewing energy and fatigue states as opposites on a single bipolar continuum. In this paper, we hypothesize that energy and fatigue are distinct perceptual states, should be measured using separate unipolar scales, have different mechanisms, and deficits should be treated using tailored therapies. Energy and fatigue independence has been found in both exploratory and confirmatory factor analysis studies. Experiments in various fields, including behavioral pharmacology and exercise science, often find changes in energy and not fatigue, or vice versa. If the hypothesis that energy and fatigue are independent is correct, there are likely different mechanisms that drive energy and fatigue changes. Energy could be increased by elevated dopamine and norepinephrine transmission and binding. Fatigue could be increased by elevated brain serotonin and inflammatory cytokines and reduced histamine binding. The hypothesis could be tested by an experiment that attempts to produce simultaneously high ratings of energy and fatigue (such as with two drugs using a randomized, double-blind, placebo-controlled design), which would offer strong evidence against the common viewpoint of a bipolar continuum. If the hypothesis is correct, prior literature using bipolar instruments will be limited, and research on the prevalence, mechanisms, and treatment of low energy and elevated fatigue as separate conditions will be needed. In the immediate future, measuring both energy and fatigue using unipolar measurement tools may improve our understanding of these states and improve therapeutic outcomes.

Differences in symptom clusters before and twelve months after breast cancer surgery

PURPOSE

Given the inter-relatedness among symptoms, research efforts are focused on an evaluation of symptom clusters. The purposes of this study were to evaluate for differences in the number and types of menopausal-related symptom clusters assessed prior to and at 12-months after surgery using ratings of occurrence and severity and to evaluate for changes in these symptom clusters over time.

METHODS

Prior to and at 12 months after surgery, 392 women with breast cancer completed the Menopausal Symptoms Scale. Exploratory factor analyses were used to identify the symptom clusters.

RESULTS

Of the 392 women evaluated, the mean number of symptoms (out of 46) was 13.2 (±8.5) at enrollment and 10.9 (±8.2) at 12 months after surgery. Using occurrence and severity, three symptom clusters were identified prior to surgery. Five symptom clusters were identified at 12 months following surgery. Two symptom clusters (i.e., pain/discomfort and hormonal) were relatively stable across both dimensions and time points. Two symptom clusters were relatively stable across both dimensions either prior to surgery (i.e., sleep/psychological/cognitive) or at 12 months after surgery (i.e., sleep). The other four clusters (i.e., irritability, psychological/cognitive, cognitive, psychological) were identified at one time point using a single dimension.

CONCLUSIONS

While some menopausal-related symptom clusters were consistent across time and dimensions, the majority of symptoms clustered together differently depending on whether they were evaluated prior to or at 12 months after breast cancer surgery. An increased understanding of how symptom clusters change over time may assist clinicians to focus their symptom assessments and management strategies.

Predictors of Altered Upper Extremity Function During the First Year After Breast Cancer Treatment

OBJECTIVE

The purpose of this study was to evaluate trajectories of and predictors for changes in upper extremity (UE) function in women (n = 396) during the first year after breast cancer treatment.

DESIGN

Prospective, longitudinal assessments of shoulder range of motion (ROM), grip strength, and perceived interference of function were performed before and for 1 year after surgery. Demographic, clinical, and treatment characteristics were evaluated as predictors of postoperative function.

RESULTS

Women had a mean (SD) age of 54.9 (11.6) years, and 64% were white. Small but statistically significant reductions in shoulder ROM were found on the affected side over 12 months (P < 0.001). Predictors of interindividual differences in ROM at the 1-month assessment were ethnicity, neoadjuvant chemotherapy, type of surgery, axillary lymph node dissection, and preoperative ROM. Predictors of interindividual differences in changes over time in postoperative ROM were living alone, type of surgery, axillary lymph node dissection, and adjuvant chemotherapy. Declines in mean grip strength from before through 1 month after surgery were small and not clinically meaningful. Women with greater preoperative breast pain interference scores had higher postoperative interference scores at all postoperative assessments.

CONCLUSION

Some of the modifiable risk factors identified in this study can be targeted for intervention to improve UE function in these women.

Associations Between Neurotransmitter Genes and Fatigue and Energy Levels in Women After Breast Cancer Surgery

CONTEXT

Fatigue is a common problem in oncology patients. Less is known about decrements in energy levels and the mechanisms that underlie both fatigue and energy.

OBJECTIVES

In patients with breast cancer, variations in neurotransmitter genes between lower and higher fatigue latent classes and between the higher and lower energy latent classes were evaluated.

METHODS

Patients completed assessments before and monthly for six months after surgery. Growth mixture modeling was used to identify distinct latent classes for fatigue severity and energy levels. Thirty candidate genes involved in various aspects of neurotransmission were evaluated.

RESULTS

Eleven single-nucleotide polymorphisms or haplotypes (i.e., ADRB2 rs1042718, BDNF rs6265, COMT rs9332377, CYP3A4 rs4646437, GALR1 rs949060, GCH1 rs3783642, NOS1 rs9658498, NOS1 rs2293052, NPY1R Haplotype A04, SLC6A2 rs17841327, and 5HTTLPR + rs25531 in SLC6A4) were associated with latent class membership for fatigue. Seven single-nucleotide polymorphisms or haplotypes (i.e., NOS1 rs471871, SLC6A1 rs2675163, SLC6A1 Haplotype D01, SLC6A2 rs36027, SLC6A3 rs37022, SLC6A4 rs2020942, and TAC1 rs2072100) were associated with latent class membership for energy. Three of 13 genes (i.e., NOS1, SLC6A2, and SLC6A4) were associated with latent class membership for both fatigue and energy.

CONCLUSIONS

Molecular findings support the hypothesis that fatigue and energy are distinct, yet related symptoms. Results suggest that a large number of neurotransmitters play a role in the development and maintenance of fatigue and energy levels in breast cancer patients.

What Factors Affect the Insomnia Symptom Trajectories in Women With Nonmetastatic Breast Cancer?

OBJECTIVES

This study sought to identify the trajectories of insomnia symptoms in Chinese women with nonmetastatic breast cancer and further determine the effects of sociodemographic, disease, and psychological variables on different insomnia symptoms.

METHODS

A total of 287 female breast cancer patients were recruited to complete measures of cognitive emotion regulation strategies, perceived social support, and insomnia symptoms at six time points from the week after diagnosis to four months after surgery.

RESULTS

Four distinct classes of insomnia symptom trajectories were identified using growth mixture modeling and were named low sustained class (n = 128, 44.60%), high sustained class (n = 33, 11.50%), moderate sustained class (n = 64, 22.30%), and decreasing class (n = 62, 21.60%). Patients in these trajectory classes differed in demographic characteristics (age, education, employment, and monthly income), pathologic stage, and psychological characteristics (perceived social support and cognitive emotion regulation strategies). Patients with less than nine years of education (adjusted odds ratio = 2.61-4.10) or higher levels of self-blame (adjusted odds ratio = 1.80-2.14) are most likely to belong to the high sustained, moderate sustained, and decreasing classes.

CONCLUSION

Four latent trajectories may be a reliable and valuable approach in analyzing insomnia symptoms in breast cancer patients. Heterogeneity should be considered to allow more attention to be paid on patients in high and moderate sustained class. Education and cognitive emotion regulation strategies are important factors for the onset and development of insomnia symptoms.

Poor sleep quality, depression and hope before breast cancer surgery

AIM

This study aims to identify the predictors of poor sleep quality and the associations between depression, hope and sleep in a sample of 156 women with breast cancer prior to surgery.

BACKGROUND

The care and treatment of breast cancer is among the most important scientific challenges in public health. Sleep disturbances and depression are the important complaint of cancer patients. However, they are often neglected. Patients diagnosed with breast cancer also experience prejudice, fear of death, suffering, mutilation, fear of lymphedema, as well as feelings of social devaluation leading to hopelessness Several studies point to hope as an effective strategy to help patients cope with difficulties and achieve their goals, especially patients with cancer.

METHODS

This is a report of baseline data extracted from a longitudinal study.

DATA COLLECTION TOOLS

Pittsburgh Sleep Quality Index, Beck Depression Inventory, and the Herth Hope Index. Data were analyzed with the Spearman's Rank Correlation test and Multiple Logistic Regression analysis.

RESULTS

The majority of women had tumors in initial stages (78.7%), reported poor sleep quality (58.9%), and had moderate to severe or severe depression (27.2%). Significant correlations were found between hope and depression (Spearman r=-0.4341), and between sleep quality and depression (Spearman r=0.3938). Significant associations were found between poor sleep quality and pain, symptoms of menopause and depression. Depression and symptoms of menopause were independent predictors of poor sleep quality.

CONCLUSION

The evaluation of sleep quality, depression and hope should be implemented in clinical practice. Increased hope lessens depression and may positively affect sleep quality, all of which improves quality of life for women with breast cancer.

Poor sleep quality in patients with multiple sclerosis: gender differences

OBJECTIVES

Most of the psychological and physical factors associated with poor sleep quality in patients with multiple sclerosis (MS) have a different prevalence in women and men, but whether or not these factors contribute differently to sleep quality in women and men with MS remains unclear. The aim of this study was to identify possible gender differences in factors related to poor sleep quality in MS patients.

MATERIAL AND METHODS

We collected data from 153 patients with MS. Patients filled out the Pittsburgh Sleep Quality Index (PSQI), the Hospital Anxiety and Depression Scale, and one item of the Short Form-36 regarding pain.

RESULTS

The best model of predictors of poor sleep quality consisting of gender, depression, anxiety, pain, and the interaction between gender and pain showed that the only variable interacting with gender, which was significantly associated with poor sleep quality was pain (odds ratio [OR] for interaction of pain with male gender was 15.4, 95% CI: 2.4; 39.5). Separate models for men and women consisting of pain, depression, anxiety, after adjustment for age, disease duration, and disability showed that pain was the only variable associated with poor sleep quality in men (OR = 12.7, 95% CI: 1.9; 29.6), whereas depression (OR = 4.1, 95% CI: 1.3; 13.2) and anxiety (OR = 6.8, 95% CI: 2.4; 19.1) were in women.

CONCLUSIONS

Factors contributing to poor sleep quality in MS patients differ by gender. Depression and anxiety are associated with poor sleep quality in women, whereas pain is in men. This highlights the need to apply gender-specific approaches to the treatment of sleep disorders.

Polymorphisms in Cytokine Genes Are Associated With Higher Levels of Fatigue and Lower Levels of Energy in Women After Breast Cancer Surgery

CONTEXT

Little is known about the phenotypic and molecular characteristics associated with changes over time in fatigue and lack of energy in patients with breast cancer.

OBJECTIVES

The aim of this study was to identify subgroups (i.e., latent classes) of women with distinct fatigue and energy trajectories; evaluate for differences in phenotypic characteristics between the latent classes for fatigue and energy; and evaluate for associations between polymorphisms in genes for pro- and anti-inflammatory cytokines, their receptors, and their transcriptional regulators and latent class membership.

METHODS

Patients were enrolled before and followed for six months after breast cancer surgery. Latent class analyses were done to identify subgroups of patients with distinct fatigue and energy trajectories. Candidate gene analyses were done to identify cytokine genes associated with these two symptoms.

RESULTS

For both fatigue and lack of energy, two distinct latent classes were identified. Phenotypic characteristics associated with the higher fatigue class were younger age, higher education, lower Karnofsky Performance Status score, higher comorbidity, higher number of lymph nodes removed, and receipt of chemotherapy (CTX). Polymorphisms in interleukin (IL) 1β and IL10 were associated with membership in the higher fatigue class. Phenotypic characteristics associated with the lower energy class included: a lower Karnofsky Performance Status score and a higher comorbidity score. A polymorphism in IL1R1 was associated with membership in the lower energy class.

CONCLUSION

Within each latent class, the severity of fatigue and decrements in energy were relatively stable over the first six months after breast cancer surgery. Distinct phenotypic characteristics and genetic polymorphisms were associated with membership in the higher fatigue and lower energy classes.

Side of cancer does not influence limb volumes in women prior to breast cancer surgery

BACKGROUND

Understanding normal volume asymmetry is essential for accurate assessment of limb volume changes following breast cancer (BC) treatment in which lymphatic function is disrupted. The purposes of this study were to evaluate for differences in dominant and nondominant limb volumes and to evaluate for interactions between the effects of dominance and side of cancer on limb volume.

METHODS AND RESULTS

This study evaluated preoperative limb volumes of 397 women enrolled in a prospective, longitudinal study of neuropathic pain and lymphedema. Volume was calculated from circumference. Limb resistance was measured with bioimpedance. Women were dichotomized into two groups: those whose cancer was on their dominant side and those whose cancer was on their nondominant side. Analyses of variance were used to evaluate for differences. In 47%, BC occurred on the side of the dominant limb. Except for the 30 to 40 centimeter (cm) limb volume segment, a main effect of dominance was found for all measures. The volume of the dominant limb was significantly greater than that of the nondominant limb. No main effects were found for side of cancer. A statistically significant interaction was found only at the 0 to 10 cm limb volume segment.

CONCLUSIONS

Prior to BC treatment, the dominant limb demonstrated lower bioimpedance resistance (-2.09%) and greater total limb volume (1.12%) than the nondominant limb. Segmental volume differences were greatest at the proximal forearm segment (2.31%) and least at the proximal arm segment (0.21%). This study provides evidence that preoperative volume assessment is important due to normal variability associated with limb dominance.

Associations between cytokine gene variations and self-reported sleep disturbance in women following breast cancer surgery

PURPOSE OF THE RESEARCH

To attempt to replicate the associations found in our previous study of patients and family caregivers between interleukin 6 (IL6) and nuclear factor kappa beta 2 (NFKB2) and sleep disturbance and to identify additional genetic associations in a larger sample of patients with breast cancer.

METHODS AND SAMPLE

Patients with breast cancer (n = 398) were recruited prior to surgery and followed for six months. Patients completed a self-report measure of sleep disturbance and provided a blood sample for genomic analyses. Growth mixture modeling was used to identify distinct latent classes of patients with higher and lower levels of sleep disturbance.

KEY RESULTS

Patients who were younger and who had higher comorbidity and lower functional status were more likely to be in the high sustained sleep disturbance class. Variations in three cytokine genes (i.e., IL1 receptor 2 (IL1R2), IL13, NFKB2) predicted latent class membership.

CONCLUSIONS

Polymorphisms in cytokine genes may partially explain inter-individual variability in sleep disturbance. Determination of high risk phenotypes and associated molecular markers may allow for earlier identification of patients at higher risk for developing sleep disturbance and lead to the development of more targeted clinical interventions.