Perturbations in inflammatory pathways are associated with shortness of breath profiles in oncology patients receiving chemotherapy.

PURPOSE: One plausible mechanistic hypothesis is the potential contribution of inflammatory mechanisms to shortness of breath. This study was aimed to evaluate for associations between the occurrence of shortness of breath and perturbations in inflammatory pathways. METHODS: Patients with cancer reported the occurrence of shortness of breath six times over two cycles of chemotherapy. Latent class analysis was used to identify subgroups of patients with distinct shortness of breath occurrence profiles (i.e., none (70.5%), decreasing (8.2%), increasing (7.8%), high (13.5%)). Using an extreme phenotype approach, whole transcriptome differential gene expression and pathway impact analyses were performed to evaluate for perturbed signaling pathways associated with shortness of breath between the none and high classes. Two independent samples (RNA-sequencing (n = 293) and microarray (n = 295) methodologies) were evaluated. Fisher's combined probability method was used to combine these results to obtain a global test of the null hypothesis. In addition, an unweighted knowledge network was created using the specific pathway maps to evaluate for interconnections among these pathways. RESULTS: Twenty-nine Kyoto Encyclopedia of Genes and Genomes inflammatory signaling pathways were perturbed. The mitogen-activated protein kinase signaling pathway node had the highest closeness, betweenness, and degree scores. In addition, five common respiratory disease-related pathways, that may share mechanisms with cancer-related shortness of breath, were perturbed. CONCLUSIONS: Findings provide preliminary support for the hypothesis that inflammation contribute to the occurrence of shortness of breath in patients with cancer. In addition, the mechanisms that underlie shortness of breath in oncology patients may be similar to other respiratory diseases.

Increases in stress and adverse childhood experiences are associated with the co-occurrence of anxiety and depression in oncology patients.

PURPOSE: Identify subgroups of patients with distinct joint anxiety AND depression profiles and evaluate for differences in demographic and clinical characteristics, as well as stress, resilience, and coping. DESIGN: Longitudinal study. PARTICIPANTS: Patients (n = 1328) receiving chemotherapy. METHODS: Measures of state anxiety and depression were done six times over two cycles of chemotherapy. All of the other measures were completed prior to second or third cycle of chemotherapy. Latent profile analysis was used to identify the distinct joint anxiety and depression profiles. FINDINGS: Three classes were identified (i.e. Low Anxiety and Low Depression (57.5%); Moderate Anxiety and Moderate Depression (33.7%), High Anxiety and High Depression (8.8%)). For all of the stress measures, a dose response effect was seen among the profiles. Two worst profiles reported higher occurrence rates for a number of adverse childhood experiences. IMPLICATIONS FOR PROVIDERS: Patients need referrals for stress reduction techniques and mental health and social services.

Stress Exposures Contribute to Worse Joint Morning and Evening Fatigue Profiles in Patients With Cancer During Chemotherapy.

OBJECTIVES: To evaluate differences among stress, resilience, and coping strategies related to morning and evening fatigue profiles (both low, low morning and moderate evening, both moderate, and both high). SAMPLE & SETTING: Data were collected from 1,334 adult patients with cancer receiving chemotherapy. METHODS & VARIABLES: Morning and evening fatigue severity were rated over two cycles of chemotherapy using the Lee Fatigue Scale. Latent profile analysis was used to identify patient subgroups with distinct joint morning and evening profiles. Data were collected on global, cancer-specific, and cumulative life stress; resilience; and coping strategies. Differences among the latent classes were evaluated using parametric and nonparametric tests. RESULTS: Compared to the other three classes, the both high class reported the highest stress scores, highest occurrence of and effects from a variety of stressful life events, lowest resilience scores, and higher use of disengagement coping strategies. The both high class met the criteria for subsyndromal post-traumatic stress disorder. IMPLICATIONS FOR NURSING: When patients report high levels of fatigue, detailed assessments of stress are warranted to provide tailored interventions.

Identification Of A Higher Risk Lymphedema Phenotype And Associations With Cytokine Gene Polymorphisms.

CONTEXT: Breast cancer-related lymphedema (BCRL) is chronic condition that occurs in 5% to 75% of women following treatment for breast cancer. However, little is known about the risk factors and mechanisms associated with a worse BCRL profile. OBJECTIVES: Identify distinct BCRL profiles in women with the condition (i.e., lower vs. higher risk phenotype) and evaluate for associations with pro- and anti-inflammatory genes. METHODS: Latent class profile analysis (LCPA) was used to identify the BCRL profiles using phenotypic characteristics evaluated prior to surgery. Candidate gene analyses were done to identify cytokine genes associated with the two BCRL profiles. RESULTS: Of the 155 patients evaluated, 35.5% (n = 55) were in the Lower and 64.5% (n = 100) were in the Higher Risk classes. Risk factors for membership in the Higher class included: lower functional status, having sentinel lymph node biopsy, axillary lymph node dissection, mastectomy, higher number of positive lymph nodes, and receipt of chemotherapy. Polymorphisms for interleukin (IL)1-beta and IL6 were associated with membership in the Higher Risk class. CONCLUSION: The readily available and clinically relevant phenotypic characteristics associated with a worse BCRL profile can be used by clinicians to identify higher risk patients. If confirmed, these characteristics can be tested in predictive risk models. In addition, the candidate gene findings may guide the development of mechanistically-based interventions to decrease the risk of BCRL.

Stability and consistency of symptom clusters in younger versus older patients receiving chemotherapy.

BACKGROUND: By 2035, the number of newly diagnosed cancer cases will double and over 50% will be in older adults. Given this rapidly growing demographic, a need exists to understand how age influences oncology patients' symptom burden. The study purposes were to evaluate for differences in the occurrence, severity, and distress of 38 symptoms in younger (< 60 years) versus older (≥ 60 years) oncology patients undergoing chemotherapy and to evaluate for differences in the stability and consistency of symptom clusters across the two age groups. METHODS: A total of 1329 patients were dichotomized into the younger and older groups. Patients completed demographic and clinical questionnaires prior to the initiation of their second or third cycle of chemotherapy. A modified version of Memorial Symptom Assessment Scale was used to evaluate the occurrence, severity, and distress of 38 common symptoms associated with cancer and its treatment. Differences between the two age groups in demographic and clinical characteristics and ratings of occurrence, severity, and distress for the 38 symptoms were evaluated using parametric and nonparametric tests. Exploratory factor analyses were done within each age group to identify symptom clusters using symptom occurrence rates. RESULTS: Compared to the younger group (14.8 (± 7.0)), older adults reported a lower mean number of symptoms (12.9 (± 7.2)). Older patients experienced lower occurrence rates for almost 50% of the symptoms. Regarding symptom clusters, an eight-factor solution was selected for both age groups. Across the two age groups, the eight symptom clusters (i.e., physical and cognitive fatigue, respiratory, psychological, hormonal, chemotherapy-related toxicity, weight gain, gastrointestinal, epithelial) were stable. However, symptoms within the physical and cognitive, chemotherapy-related toxicity, and gastrointestinal clusters were not consistent across the age groups. CONCLUSIONS: To be able to provide tailored and effective symptom management interventions to older oncology patients, routine assessments of the core symptoms unique to the symptom clusters identified for this group warrants consideration. The underlying mechanism(s) for these inconsistencies in symptom burden is an important focus for future studies.

Increased Stress Is Associated With Severe Pain and Decrements in Cognitive Function in Patients Receiving Chemotherapy.

OBJECTIVES: Purposes were to identify subgroups of adult oncology patients (n = 1342) with distinct joint profiles of worst pain and cognitive function (CF) and evaluate for differences in demographic and clinical characteristics, as well as the severity of three distinct types of stress, resilience, and coping. DATA SOURCES: Measures of pain and CF were evaluated six times over two cycles of chemotherapy. The other measures of demographic and clinical characteristics, stress, resilience, and coping were completed at enrollment (ie, prior to the second or third cycle of chemotherapy). RESULTS: Using latent profile analysis, four distinct profiles were identified (ie, no pain + moderate CF [27.6%], moderate pain + high CF [22.4%] moderate pain and moderate CF [32.4%, both moderate], severe pain and low CF [17.5%, both severe]). Both moderate and both severe classes reported higher global, cancer-specific, and cumulative life stress, lower levels of resilience, and greater use of disengagement coping strategies. The Both severe class had higher occurrence rates for a number of adverse childhood experiences (ie, family violence in childhood, physical abuse at <16 years, forced sex at <16 years). Risk factors associated with membership in the two worst profiles included: being female, having a lower annual income, having a higher comorbidity burden, and having a poorer functional status. CONCLUSION: Findings suggest that 72.4% of the patients reported pain scores in the moderate to severe range and 77.6% reported low to moderate levels of CF. Clinicians need to assess for both symptoms and various types of stress on a routine basis.

Higher Levels of Multiple Types of Stress Are Associated With Worse State Anxiety and Morning Fatigue Profiles in Patients Receiving Chemotherapy.

BACKGROUND: Anxiety and fatigue are common problems in patients receiving chemotherapy. Unrelieved stress is a potential cause for the co-occurrence of these symptoms. OBJECTIVES: The aims of this study were to identify subgroups of patients with distinct state anxiety and morning fatigue profiles and evaluate for differences among these subgroups in demographic and clinical characteristics, as well as measures of global, cancer-specific, and cumulative life stress and resilience and coping. METHODS: Patients (n = 1335) completed measures of state anxiety and morning fatigue 6 times over 2 cycles of chemotherapy. All of the other measures were completed prior to the second or third cycle of chemotherapy. Latent profile analysis was used to identify the state anxiety and morning fatigue profiles. RESULTS: Three distinct joint profiles were identified: Low Anxiety and Low Morning Fatigue (59%), Moderate Anxiety and Moderate Morning Fatigue (33.4%), and High Anxiety and High Morning Fatigue (7.6%). Patients in the 2 highest classes were younger, were less likely to be married/partnered, and had a higher comorbidity burden. All of the stress scores demonstrated a dose-response effect (ie, as anxiety and morning fatigue profiles worsened, stress increased). Patients in the 2 highest classes reported higher rates of emotional abuse, physical neglect, physical abuse, and sexual harassment. CONCLUSIONS: More than 40% of these patients experienced moderate to high levels of both anxiety and morning fatigue. Higher levels of all 3 types of stress were associated with the 2 highest profiles. IMPLICATIONS FOR PRACTICE: Clinicians need to perform comprehensive evaluations of patients' levels of stress and recommend referrals to psychosocial services.

Worse Depression Profiles Are Associated With Higher Symptom Burden and Poorer Quality of Life in Patients With Gynecologic Cancer.

BACKGROUND: Depression is a pervasive symptom in patients with gynecological cancer undergoing chemotherapy. OBJECTIVES: Purposes were to identify subgroups of patients with distinct depression profiles and evaluate for differences in demographic and clinical characteristics, severity of common symptoms, and quality of life (QOL) outcomes among these subgroups. METHODS: Patients with gynecological cancer (n = 231) completed the Center for Epidemiologic Studies-Depression Scale 6 times over 2 cycles of chemotherapy. All of the other measures were completed prior to the second or third cycle of chemotherapy. Latent profile analysis was done to identify the distinct depression profiles. Differences were evaluated using parametric and nonparametric tests. RESULTS: Three distinct profiles were identified: low (60.1%), high (35.1%), and very high (4.8%). Compared with low class, the other 2 classes had lower functional status and were more likely to self-report a diagnosis of depression. Patients in the 2 worse profiles reported a higher comorbidity burden, higher levels of trait and state anxiety, sleep disturbance, and fatigue, as well as lower levels of cognitive function and poorer QOL. State and trait anxiety, evening fatigue, and sleep disturbance scores exhibit a "dose-response effect" (ie, as the depression profile worsened, the severity of these symptoms increased). CONCLUSIONS: Almost 40% of our sample experienced high or very high levels of depression across 2 cycles of chemotherapy. IMPLICATIONS FOR PRACTICE: Clinicians can use the identified risk factors to identify high patients risk and provide tailored psychological interventions aimed to decrease symptom burden and prevent decrements in QOL.

Various types of stress and greater use of disengagement coping are associated with worse sleep disturbance in oncology patients undergoing chemotherapy.

Various types of stress and the choice of coping strategies may be risk factors for higher levels of sleep disturbance in oncology patients. Purposes were to evaluate for differences in global, cancer-specific, and cumulative life stress, as well as resilience and the use of coping strategies among three subgroups of patients with distinct sleep disturbance profiles (i.e., Low, High, Very High). Oncology outpatients (n = 1331) completed measures of global (Perceived Stress Scale), cancer-specific (Impact of Event Scale-Revised), and cumulative life (Life Stressor Checklist-Revised) stress, resilience (Connor-Davidson Resilience Scale) and coping (Brief Cope) prior to their second or third cycle of chemotherapy. Sleep disturbance was assessed six times over two chemotherapy cycles. Differences were evaluated using parametric and non-parametric tests. All stress measures showed a dose response effect (i.e., as the sleep disturbance profile worsened, levels of all types of stress increased). Compared to Low class, the other two classes reported higher levels of global perceived stress and higher occurrence rates and effect from previous stressful life events. Impact of Event Scale-Revised scores for the Very High class indicated post-traumatic symptomatology. Patients in High and Very High classes had resilience scores below the normative score for the United States population and used a higher number of disengagement coping strategies. Our findings suggest that very high levels of sleep disturbance are associated with higher levels of various types of stress, lower levels of resilience, and higher use of disengagement coping strategies. Clinicians need to perform routine assessments and implement symptom management interventions to reduce stress and encourage the use of engagement coping strategies.

Associations of frailty with symptoms, and HRQOL in older cancer survivors after cancer treatments: a systematic review and meta-analyses.

PURPOSE: Frailty in older adult cancer survivors after cancer treatments is associated with various health outcomes. However, there is less agreement on how frailty affects symptoms and health-related quality of life (HRQOL). This systematic review and meta-analysis aimed to evaluate the current literature on frailty, symptoms, and HRQOL, as well as the associations of frailty with these factors in older adult cancer survivors with chemotherapy. METHODS: A review was conducted on peer-reviewed publications from 2008 to 2023, using seven electronic databases. Meta-analyses were performed using random effects models to determine pooled effect estimates for frailty prevalence, symptom severity, and HRQOL scores. RESULTS: A total of 26 studies involving older cancer survivors were included in the analysis. Most of these studies were conducted in Western countries and focused on White survivors, particularly those with breast cancer. The mean pooled prevalence of frailty was 43.5%. Among frail survivors, the most common symptoms reported after cancer treatments were pain (36.4%), neuropathy (34.1%), and fatigue (21.3%). Frailty was associated with higher pooled mean symptom severity (B = 1.23, p = 0.046) and lower functional HRQOL (B = - 0.31, p = 0.051, with marginal significance) after cancer treatments. CONCLUSION: Frail older cancer survivors are at high risk of adverse symptoms and poor HRQOL after cancer treatment. Further research on screening for frailty is needed to prevent older adults from developing worse symptoms burden and maintain HRQOL. It is also essential to understand the mechanisms of the associations between frailty, symptoms and HRQOL in this population.

Healthy Behaviors Among Non-Hispanic Black and Hispanic People Affected by Cancer During the Posttreatment Survivorship: A Qualitative Study.

BACKGROUND: There are disparities in health behaviors across racial and ethnic groups. However, limited studies focus on cancer survivors' experiences developing and maintaining healthy behaviors, particularly in non-Hispanic Black (NHB) and Hispanic people. OBJECTIVE: This study aimed to understand the experiences of NHB and Hispanic people affected by cancer in developing and maintaining positive health behaviors beyond a cancer diagnosis. METHODS: The data were collected in a mixed-method study through semistructured interviews with 29 NHB and Hispanic cancer survivors between June and October 2022. Conventional content analysis was used. RESULTS: The lived experiences of cancer survivors were narrated in 3 themes: impact of a cancer diagnosis on oneself, facilitators and barriers to health and health behaviors, and utilization of available sources for health. Facilitators and barriers to health and health behaviors were further explored as biological (eg, symptoms, comorbidities), behavioral (eg, help-seeking behavior, sleep pattern), physical/built (eg, available sources, neighborhood), and sociocultural environment (eg, income, transportation, knowledge, culture, upbringing, household and community composition, social and family network), and healthcare system-related factors (eg, insurance coverage, personal preferences, perceived discrimination, and stigma). CONCLUSION: Non-Hispanic Black and Hispanic people, specifically those living in disadvantaged neighborhoods with limited sources or where they feel discriminated and stereotyped, those with limited income and transportation, and those with physical, social, or mental health problems, seemed to have challenges prioritizing health behaviors and maintaining healthy living. IMPLICATIONS FOR PRACTICE: Biological, behavioral, and psychosocial determinants of health behaviors should be addressed through multilevel collaborations among different levels of partners.

Adverse Childhood Experiences and Higher Levels of Stress Are Associated With the Co-occurrence of Cancer-Related Cognitive Impairment and Anxiety.

OBJECTIVES: We sought to identify subgroups of patients with distinct joint cancer-related cognitive impairment (CRCI) AND anxiety profiles and evaluate for differences in demographic and clinical characteristics, as well as levels of global stress, cancer-specific stress, cumulative life stress, and resilience. DATA SOURCES: Patients (n = 1332) completed the Attentional Function Index and the Spielberger State Anxiety Inventory six times over two cycles of chemotherapy. Global, cancer-specific, and cumulative life stress and resilience were evaluated using Perceived Stress Scale, Impact of Event Scale-Revised, Life Stressor Checklist-Revised, and Connor-Davidson Resilience Scale, respectively. Latent profile analysis was used to identify subgroups of patients with distinct joint CRCI AND anxiety profiles. Differences were evaluated using parametric and nonparametric tests. RESULTS: Three classes were identified (ie, No CRCI and Low Anxiety [57.3%], Moderate CRCI and Moderate Anxiety [34.5%], and High CRCI and High Anxiety [8.2%]). All of the stress measures showed a dose-response effect (ie, as the CRCI AND anxiety profile worsened, scores for all three types of stress increased). The two highest symptom classes reported higher occurrence rates for six specific stressors (eg, emotional abuse, physical abuse, sexual harassment). CONCLUSIONS: Findings suggest that higher levels of co-occurring CRCI AND anxiety are associated with some common risk factors, as well as higher levels of stress and lower levels of resilience. Increased knowledge of modifiable risk factors and sources of stress associated with the co-occurrence of these two symptoms will assist clinicians to identify high-risk patients and implement individualized interventions.

Decrements in Both Physical and Cognitive Function Are Associated With a Higher Symptom Burden in Oncology Patients.

OBJECTIVES: Physical and cognitive function are two of the most important patient-reported outcomes. In oncology patients receiving chemotherapy (N = 1331), purposes were to identify subgroups of patients with distinct joint physical and cognitive function profiles and evaluate for differences in demographic and clinical characteristics, severity of common symptoms, and quality of life outcomes. DATA SOURCES: Measures of physical and cognitive functions were obtained six times over two cycles of chemotherapy. All of the other measures were done prior to the second or third cycle of chemotherapy. Latent profile analysis was done to identify the distinct joint physical and cognitive function profiles. Differences among the profiles were evaluated using parametric and nonparametric tests. CONCLUSION: Five distinct profiles were identified (ie, Very Low Physical and Low Cognitive Function [18.4%; Both Low], Low Physical and High Cognitive Function [19.8%], Moderate Physical and Low Cognitive Function [26.7%], Changing Physical and Cognitive Function [5.4%], and Normal Physical and Cognitive Function [29.7%]). Patients in the Both Low class had the highest symptom burden and the poorest quality of life. Over 70% of the sample had moderate to severe decrements in one or both of these extremely important patient outcomes. IMPLICATIONS FOR NURSING PRACTICE: Clinicians need to assess for both physical and cognitive function using simple subjective and objective measures.

Higher Levels of Stress and Neuropsychological Symptoms Are Associated With a High Nausea Profile in Patients With Cancer Receiving Chemotherapy.

OBJECTIVES: To evaluate differences in the severity of global, cancer-specific, and cumulative life stress, resilience, and common neuropsychological symptoms among four subgroups of patients with distinct chemotherapy-induced nausea (CIN) profiles. SAMPLE & SETTING: Adult patients with cancer (N = 1,343) receiving chemotherapy. METHODS & VARIABLES: Patients completed stress, resilience, and neuropsychological symptom severity measures. The Memorial Symptom Assessment Scale was used to assess CIN occurrence six times over two cycles of chemotherapy. Parametric and nonparametric statistics were used to evaluate differences among subgroups of patients with distinct CIN profiles. RESULTS: The high class had significantly higher levels of global, cancer-specific, and cumulative life stress; significantly higher levels of depression, anxiety, sleep disturbance, morning and evening fatigue, and pain; and lower levels of morning and evening energy and cognitive dysfunction. IMPLICATIONS FOR NURSING: Clinicians need to evaluate CIN occurrence across each cycle of chemotherapy and assess patients for various types of stress and common neuropsychological symptoms.

Risk Factors for a Higher Symptom Burden in Patients With Cancer During the COVID-19 Pandemic.

OBJECTIVES: To evaluate for subgroups of patients with distinct symptom profiles and differences in demographic and clinical characteristics and stress and resilience among these subgroups. SAMPLE & SETTING: 1,145 patients with cancer aged 18 years or older completed a survey online. Data were collected between May 2020 and February 2021. METHODS & VARIABLES: Patients completed measures for depression, state anxiety, cognitive function, morning fatigue, evening fatigue, morning energy, evening energy, sleep disturbance, pain, stress, and resilience. Latent class profile analysis was used to identify subgroups of patients with distinct symptom profiles. Differences among the subgroups on study measures were evaluated using parametric and nonparametric tests. RESULTS: Four distinct profiles were identified (none, low, high, and very high). Patients in the high and very high classes reported clinically meaningful levels of all nine symptoms. Differences among the four profiles for stress and resilience exhibited a dose-response effect. IMPLICATIONS FOR NURSING: Findings can serve as benchmark data of the symptom burden of patients with cancer following the COVID-19 pandemic.

COVID-19 pandemic stress and cancer symptom burden.

OBJECTIVES: In a sample of patients with cancer (n=1145) who were assessed during the height of the COVID-19 pandemic, latent profile analysis was used to identify subgroups of patients with distinct stress profiles and to evaluate for differences in demographic and clinical characteristics and symptom severity scores among these subgroups. METHODS: Patients completed measures of cancer-specific and COVID-19 stress, global stress, social isolation, loneliness, depression, state and trait anxiety, morning and evening fatigue, morning and evening energy, sleep disturbance, cognitive function, and pain. Latent profile analysis was used to identify subgroups of patients with distinct stress profiles. Differences among the subgroups in study measures were evaluated using parametric and non-parametric tests. RESULTS: Using clinically meaningful cut-off scores for the stress measures, four distinct stress profiles were identified (ie, none class (51.3%); low stress and moderate loneliness class (24.4%), high stress and moderate loneliness class (14.0%), and very high stress and moderately high loneliness class (high, 10.3%)). Risk factors associated with membership in the high class included: younger age, lower annual household income, lower functional status and higher comorbidity burden. The two worst stress profiles reported clinically meaningful levels of all of the common symptoms associated with cancer and its treatments. CONCLUSION: Findings from this study, obtained prior to the availability of COVID-19 vaccines and anti-viral medications, provide important 'benchmark data' to evaluate for changes in stress and symptom burden in patients with cancer in the postvaccine era and in patients with long COVID-19.

Identification of distinct symptom profiles in patients with gynecologic cancers using a pre-specified symptom cluster.

PURPOSE: Pain, fatigue, sleep disturbance, and depression are four of the most common symptoms in patients with gynecologic cancer. The purposes were to identify subgroups of patients with distinct co-occurring pain, fatigue, sleep disturbance, and depression profiles (i.e., pre-specified symptom cluster) in a sample of patients with gynecologic cancer receiving chemotherapy and assess for differences in demographic and clinical characteristics, as well as the severity of other common symptoms and QOL outcomes among these subgroups. METHODS: Patients completed symptom questionnaires prior to their second or third cycle of chemotherapy. Latent profile analysis was used to identify subgroups of patients using the pre-specified symptom cluster. Parametric and nonparametric tests were used to evaluate for differences between the subgroups. RESULTS: In the sample of 233 patients, two distinct latent classes were identified (i.e., low (64.8%) and high (35.2%)) indicating lower and higher levels of symptom burden. Patients in high class were younger, had child care responsibilities, were unemployed, and had a lower annual income. In addition, these women had a higher body mass index, a higher comorbidity burden, and a lower functional status. Patients in the high class reported higher levels of anxiety, as well as lower levels of energy and cognitive function and poorer quality of life scores. CONCLUSIONS: This study identified a number of modifiable and non-modifiable risk factors associated with membership in the high class. Clinicians can use this information to refer patients to dieticians and physical therapists for tailored interventions.

Sleep disturbance and decrements in morning energy contribute to a higher symptom burden in oncology patients.

OBJECTIVE/BACKGROUND: An emerging area of research is the relationship between sleep disturbance and decrements in energy. Given the paucity of research on the co-occurrence of these two symptoms, study purposes were to identify subgroups of oncology patients with distinct joint sleep disturbance AND morning energy profiles and evaluate for differences among the subgroups in demographic, clinical, and sleep disturbance characteristics, as well as the severity of other common symptoms and QOL outcomes. PATIENTS/METHODS: Patients (n = 1336) completed measures of sleep disturbance and energy 6 times over two cycles of chemotherapy. All of the other measures were completed at enrollment. Latent profile analysis was used to identify the distinct joint sleep disturbance and morning energy profiles. RESULTS: Three distinct profiles were identified (i.e., Low Sleep Disturbance and High Morning Energy (Normal, 20.6%), Moderate Sleep Disturbance and Low Morning Energy (Moderately Severe, 52.1%), Very High Sleep Disturbance and Very Low Morning Energy (Very Severe, 27.3%). Compared to Normal class, other two classes were more likely to be female, less likely to be employed, and had higher comorbidity burden and poorer functional status. Symptom scores and QOL outcomes exhibited a dose response effect (i.e., as the profile worsened, symptom scores increased and QOL scores decreased). CONCLUSIONS: Given the associations between sleep disturbance and decrements in energy and a higher symptom burden, poorer QOL outcomes, and increased mortality, assessment of these two symptoms needs to be a high priority for clinicians and appropriate interventions initiated.

Associations Between Distinct State Anxiety Profiles, Exposure to Stressful Life Events, Resilience, and Coping in Patients with Gynecologic Cancers Receiving Chemotherapy.

OBJECTIVES: In a sample of patients with gynecologic cancers who are receiving chemotherapy, subgroups of patients with distinct state anxiety profiles were identified, and differences among the subgroups in demographic and clinical characteristics, stress, exposure to stressful life events, resilience, and coping behaviors were evaluated. DATA SOURCES: Patients (n = 230) completed questionnaires six times over two chemotherapy cycles. State anxiety was measured using the Spielberger State Anxiety Inventory. Subgroups of patients with distinct state anxiety profiles were identified using latent profile analysis. Differences among the classes were assessed using parametric and nonparametric tests. CONCLUSION: Three distinct state anxiety profiles were identified: low (55.2%), moderate (38.3%), and very high (6.5%). Compared with the low class, persons in the other two classes had lower functional status, more comorbidities, higher perceived stress, and lower resilience and were more likely to report a history of depression and to use disengagement coping strategies. Compared with the low class, the very high class was more likely to report childcare responsibilities; have a history of lung disease, stomach disease, or low back pain; have experienced physical neglect, serious money problems, a serious disaster, or foster care; or were a caregiver for someone with a severe disability. IMPLICATIONS FOR NURSING PRACTICE: Nearly 45% of patients reported clinically meaningful levels of state anxiety that persisted over two cycles of chemotherapy. Experiences with a variety of stressors may be risk factors for higher levels of anxiety during chemotherapy. Clinicians need to perform comprehensive social histories and assess for anxiety in patients receiving chemotherapy.