Latent Class Analysis of Depressive Symptom Phenotypes Among Black/African American Mothers.

BACKGROUND: Depression is a growing global problem with significant individual and societal costs. Despite their consequences, depressive symptoms are poorly recognized and undertreated because wide variation in symptom presentation limits clinical identification-particularly among African American (AA) women-an understudied population at an increased risk of health inequity. OBJECTIVES: The aims of this study were to explore depressive symptom phenotypes among AA women and examine associations with epigenetic, cardiometabolic, and psychosocial factors. METHODS: This cross-sectional, retrospective analysis included self-reported Black/AA mothers from the Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure study (data collected in 2015-2020). Clinical phenotypes were identified using latent class analysis. Bivariate logistic regression examined epigenetic age, cardiometabolic traits (i.e., body mass index ≥ 30 kg/m 2 , hypertension, or diabetes), and psychosocial variables as predictors of class membership. RESULTS: All participants were Black/AA and predominantly non-Hispanic. Over half of the sample had one or more cardiometabolic traits. Two latent classes were identified (low vs. moderate depressive symptoms). Somatic and self-critical symptoms characterized the moderate symptom class. Higher stress overload scores significantly predicted moderate-symptom class membership. DISCUSSION: In this sample of AA women with increased cardiometabolic burden, increased stress was associated with depressive symptoms that standard screening tools may not capture. Research examining the effect of specific stressors and the efficacy of tools to identify at-risk AA women are urgently needed to address disparities and mental health burdens.

Distinct Profiles of Morning and Evening Fatigue Co-Occurrence in Patients During Chemotherapy.

BACKGROUND: Morning and evening fatigue are distinct and distressing symptoms experienced during chemotherapy that demonstrate a large amount of interindividual variability. OBJECTIVES: The objectives of this study were to identify subgroups of patients with distinct morning and evening fatigue co-occurrence profiles and evaluate for differences among these subgroups in demographic, clinical, and symptom characteristics and quality of life. METHODS: Oncology patients ( n = 1,334) completed the Lee Fatigue Scale to self-report morning and evening fatigue, six times over two cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct morning and evening physical fatigue profiles. RESULTS: Four distinct morning and evening fatigue profiles were identified (i.e., Both Low, Low Morning + Moderate Evening, Both Moderate, and Both High). Compared to the Both Low profile, the Both High profile was significantly younger, less likely to be married or partnered, more likely to live alone, had a higher comorbidity burden, and lower functional status. The Both High profile had higher levels of anxiety, depressive symptoms, sleep disturbance, and pain and lower levels of quality of life. DISCUSSION: The variability in the morning and evening severity scores among the four profiles supports the hypothesis that morning and evening fatigue are distinct but related symptoms. Clinically meaningful levels of both morning and evening fatigue were reported by 50.4% of our sample, which suggests that the co-occurrence of these two symptoms is relatively common. Patients in Both Moderate and Both High profiles experienced an extremely high symptom burden that warrants ongoing assessments and aggressive symptom management interventions.

An Evaluation of the Multifactorial Model of Cancer-Related Cognitive Impairment.

BACKGROUND: Up to 45% of patients report cancer-related cognitive impairment (CRCI). A variety of characteristics are associated with the occurrence and/or severity of CRCI. However, an important gap in knowledge of risk factors for CRCI is the relative contribution of each factor. The multifactorial model of cancer-related cognitive impairment (MMCRCI) is a conceptual model of CRCI that can be used to evaluate the strength of relationships between various factors and CRCI. OBJECTIVES: The purpose of this study was to use structural regression methods to evaluate the MMCRCI using data from a large sample of outpatients receiving chemotherapy ( n = 1,343). Specifically, the relationships between self-reported CRCI and four MMCRCI concepts (i.e., social determinants of health, patient-specific factors, treatment factors, and co-occurring symptoms) were examined. The goals were to determine how well the four concepts predicted CRCI and determine the relative contribution of each concept to deficits in perceived cognitive function. METHODS: This study is part of a larger, longitudinal study that evaluated the symptom experience of oncology outpatients receiving chemotherapy. Adult patients were diagnosed with breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding 4 weeks; were scheduled to receive at least two additional cycles of chemotherapy; were able to read, write, and understand English; and gave written informed consent. Self-reported CRCI was assessed using the attentional function index. Available study data were used to define the latent variables. RESULTS: On average, patients were 57 years of age, college educated, and with a mean Karnofsky Performance Status score of 80. Of the four concepts evaluated, whereas co-occurring symptoms explained the largest amount of variance in CRCI, treatment factors explained the smallest amount of variance. A simultaneous structural regression model that estimated the joint effect of the four exogenous latent variables on the CRCI latent variable was not significant. DISCUSSION: These findings suggest that testing individual components of the MMCRCI may provide useful information on the relationships among various risk factors, as well as refinements of the model. In terms of risk factors for CRCI, co-occurring symptoms may be more significant than treatment factors, patient-specific factors, and/or social determinants of health in patients receiving chemotherapy.

Impact of worst pain severity and morning fatigue profiles on oncology outpatients' symptom burden and quality of life.

PURPOSE: Pain and fatigue are common symptoms in oncology patients. In a sample of oncology outpatients receiving chemotherapy (n = 1342), the study purposes were to identify subgroups of patients with distinct worst pain and morning fatigue profiles and evaluate for differences among the subgroups in demographic and clinical characteristics, as well as the severity of common symptoms and quality of life (QOL) outcomes. METHODS: Oncology outpatients receiving chemotherapy (n = 1342) completed self-report questionnaires to assess pain and morning fatigue, a total of six times over two cycles of chemotherapy. Joint latent profile analysis was used to identify subgroups of patients with distinct pain and morning fatigue profiles. Differences among the classes were evaluated using parametric and non-parametric tests. RESULTS: Five distinct profiles were identified (no pain and low morning fatigue (27.6%), moderate pain and low morning fatigue (28.2%), moderate pain and morning fatigue (28.0%), moderate pain and increasing and decreasing morning fatigue (6.9%), severe pain and very high morning fatigue (9.3%)). Patients with the three worst profiles had clinically meaningful levels of depression and sleep disturbance and decrements in QOL. CONCLUSIONS: Over 44% of the sample had moderate to high levels of both pain and morning fatigue. Unrelieved pain may contribute to disturbed sleep which results in higher levels of morning fatigue. Clinicians need to assess for pain and fatigue, as well as sleep disturbance during chemotherapy.

Addressing Challenges in Recruiting Diverse Populations for Research: Practical Experience From a P20 Center.

BACKGROUND: Improving the recruitment and retention of underrepresented groups in all research areas is essential for health equity. However, achieving and retaining diverse samples is challenging. Barriers to recruitment and retention of diverse participants include socioeconomic and cultural factors and practical challenges (e.g., time and travel commitments). OBJECTIVES: The purpose of this article is to describe the successful recruitment and retention strategies used by two related studies within a P20 center funded by the National Institute of Nursing Research focused on precision health research in diverse populations with multiple chronic conditions, including metabolic syndrome. METHODS: To address the complexity, biodiversity, and effect of metabolic syndrome and multiple chronic conditions, we developed culturally appropriate, multipronged recruitment and retention strategies for a pilot intervention study and a longitudinal observational pilot study within our P20 center. The following are the underlying principles that guided the recruitment and retention strategies: (a) flexibility, (b) active listening and bidirectional conversations, and (c) innovative problem solving. RESULTS: The intervention study (Pilot 1) enrolled 49 participants. The longitudinal observational study (Pilot 2) enrolled 45 participants. Women and racial/ethnic minorities were significantly represented in both. In Pilot 1, most of the participants completed the intervention and all phases of data collection. In Pilot 2, most participants completed all phases of data collection and chose to provide biorepository specimens. DISCUSSION: We developed a recruitment and retention plan building on standard strategies for a general medical population. Our real-world experiences informed the adaption of these strategies to facilitate the participation of individuals who often do not participate in research-specifically, women and racial/ethnic populations. Our experience across two pilot studies suggests that recruiting diverse populations should build flexibility in the research plan at the outset.

Distinct diarrhea profiles during outpatient chemotherapy.

PURPOSE: Chemotherapy-induced diarrhea (CID) is a common symptom that occurs in 50 to 80% of patients. Given that the majority of the data on the occurrence and severity of CID is based on physician-rated toxicity criteria, this study's purposes were to identify subgroups of patients with distinct CID profiles and determine how these subgroups differ in terms of demographic and clinical characteristics; severity, frequency, and distress of CID; the co-occurrence of common GI symptoms; and QOL. METHODS: Patients (n = 1133) completed the Memorial Symptom Assessment Scale six times over two cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct diarrhea profiles. Differences among these subgroups were evaluated using parametric and nonparametric statistics. RESULTS: Four distinct diarrhea profiles were identified: none (58.3%), decreasing (22.0%), increasing (5.2%), and high (14.5%). Compared with the none class, patients in the high class had a lower functional status, a worse comorbidity profile, were more likely to have gastrointestinal cancer, and were more likely to receive chemotherapy on a 14-day cycle. No differences were found among the classes in the percentages of patients who received chemotherapy with a targeted therapy. CONCLUSION: Given that CID occurred in over 40% of the patients, clinicians should assess for this symptom and other common GI symptoms and initiate appropriate pharmacologic and dietary interventions.

Anxiety profiles are associated with stress, resilience and symptom severity in outpatients receiving chemotherapy.

PURPOSE: The purposes of this study, in a sample of oncology patients (n = 1326) receiving chemotherapy, were to identify subgroups of patients with distinct anxiety profiles and evaluate for differences in demographic and clinical characteristics, stress and resilience measures, and severity of co-occurring symptoms (i.e., depression, sleep disturbance, attentional function, fatigue, pain). METHODS: Patients completed self-report questionnaires a total of six times over two cycles of chemotherapy. Severity of state anxiety was evaluated using the Spielberger State Anxiety Inventory and resilience was assessed using the Connor-Davidson Resilience Scale. Symptoms were assessed using the Center for Epidemiologic Studies Depression Scale, General Sleep Disturbance Scale, Lee Fatigue Scale, Attentional Function Index and Brief Pain Inventory. RESULTS: Based on the findings from the latent profile analysis that utilized the six assessments of state anxiety, 47.7% of the patients were classified as "Low," 28.3% as "Moderate," 19.5% as "High," and 4.5.% as "Very High." Anxiety levels remained relatively stable across the six timepoints. Compared to the Low class, membership in the Moderate, High, and Very High classes was associated with a number of characteristics (e.g., younger age, female gender, lower functional status, more comorbidities). Those patients with higher levels of anxiety reported higher levels of stress, lower levels of resilience, and increased severity of co-occurring symptoms. CONCLUSION: Our findings suggest that a substantial number of oncology patients may warrant referral to psychological services. Clinicians need to perform systematic assessments of anxiety, stress, and common symptoms and initiate appropriate interventions to enhance resilience and coping.

Distinct profiles of multiple co-occurring symptoms in patients with gastrointestinal cancers receiving chemotherapy.

PURPOSE: Identify subgroups of gastrointestinal (GI) cancer patients with distinct multiple co-occurring symptom profiles and evaluate for differences among these subgroups in demographic and clinical characteristics and quality of life (QOL) outcomes. METHODS: Patients with GI cancers (n = 399) completed the Memorial Symptom Assessment Scale (MSAS) that was used to assess for multiple co-occurring symptoms. Latent class analysis (LCA) was used to identify subgroups of patients with distinct symptom profiles using symptom occurrence ratings. Differences in demographic and clinical characteristics and QOL outcomes among the subgroups were evaluated using parametric and nonparametric tests. RESULTS: All Low (36.6%), Moderate (49.4%), and All High (14.0%) classes were identified. Compared to the All Low class, patients in the other two classes were significantly younger and were more likely to report depression and back pain. Compared to the other two classes, patients in the All High class had fewer years of education and a higher number of comorbidities. Significant differences were found among the three classes for comorbidity burden and total number of MSAS symptoms (i.e., All Low < Moderate < All High), as well as for performance status (i.e., All Low > Moderate > All High). A higher symptom burden was associated with poorer QOL outcomes. CONCLUSIONS: The first study to identify subgroups of patients with GI cancers based on distinct symptom profiles. LCA allowed for the identification of risk factors associated with a higher symptom burden. Clinicians can use this information to identify high-risk patients and develop personalized symptom management interventions.

Association of personality profiles with coping and adjustment to cancer among patients undergoing chemotherapy.

OBJECTIVE: Specific personality traits are associated with differential use of various coping strategies. Few studies have examined the relationship between personality and coping in oncology patients undergoing chemotherapy. We, therefore, examined the relationship between previously identified personality profiles (ie, Distressed [14.3% of total sample], Normative [53.8%], Resilient [31.9%]) and measures of coping and adjustment. METHODS: Patients (n = 1248) undergoing chemotherapy for breast, gastrointestinal, gynecological, or lung cancer completed measures of personality (NEO-Five Factor Inventory), coping (Brief COPE), and psychological adjustment to cancer (Mental Adjustment to Cancer [MAC] scale). Differences in coping and adjustment among the three personality profiles were evaluated using analysis of variance. RESULTS: On the Brief COPE, the Distressed class endorsed lower use of Active Coping, Positive Reframing, Acceptance, Emotional Support (ie, "engagement" coping); and greater use of Denial, Venting, Behavioral Disengagement, Self-Blame (ie, "disengagement" coping) compared to the Normative and Resilient classes. On the MAC scale, the Distressed class scored higher on Anxious Preoccupation, Helplessness/Hopelessness, Fatalism, and Avoidance, and lower on Fighting Spirit, compared to the other two classes. CONCLUSIONS: In this sample of oncology patients receiving chemotherapy, patients in the Distressed personality class showed a reduced repertoire of adaptive coping strategies, while those in the Resilient class reported greater use of adaptive or engagement coping strategies. Further work should examine the potential mediating or moderating role of coping and adjustment in the relationships between personality and patient outcomes. Interventions to enhance beneficial and reduce harmful coping strategies in cancer patients should be evaluated.

Higher levels of stress and different coping strategies are associated with greater morning and evening fatigue severity in oncology patients receiving chemotherapy.

PURPOSE: A cancer diagnosis and associated treatments are stressful experiences for most patients. Patients' perceptions of stress and their use of coping strategies may influence fatigue severity. This study extends our previous work describing distinct profiles of morning (i.e., Very Low, Low, High, and Very High) and evening (i.e., Low, Moderate, High, and Very High) fatigue in oncology patients by evaluating for differences in stress and coping strategies among these fatigue classes. METHODS: This longitudinal study evaluated for changes in morning and evening fatigue in oncology patients (n = 1332) over two cycles of chemotherapy (CTX). Patients completed measures of cumulative exposure to stressful life events (SLEs) (i.e., the Life Stressor Checklist-Revised), general stress (i.e., Perceived Stress Scale [PSS]), cancer-specific stress (i.e., Impact of Event Scale-Revised [IES-R]), and coping strategies (i.e., Brief Cope). Differences among the latent classes were evaluated using analyses of variance, Kruskal-Wallis, or chi-square tests. RESULTS: Patients in both the Very High morning and evening fatigue classes reported higher numbers of and a higher impact from previous SLEs and higher PSS scores than the other fatigue classes. The IES-R scores for the Very High morning fatigue class met the criterion for subsyndromal PTSD. Patients in the Very High evening fatigue class used a higher number of engagement coping strategies compared with the Very High morning fatigue class. CONCLUSIONS: Our findings suggest that interventions to reduce stress and enhance coping warrant investigation to decrease fatigue in patients undergoing CTX.

Gastrointestinal symptoms are associated with trajectories of chemotherapy-induced nausea.

PURPOSE: Between 19 and 58% of oncology patients experience chemotherapy-induced nausea (CIN). In a sample of outpatients with breast, gastrointestinal (GI), gynecological, and lung cancer, the study purposes were to evaluate for inter-individual differences in the severity of CIN over two cycles of chemotherapy (CTX) and to determine which demographic and clinical characteristics and GI symptoms were associated with higher initial levels as well as with the trajectories of CIN severity. METHODS: Patients completed study questionnaires at six time points over two cycles of CTX. These questionnaires provided information on demographic and clinical characteristics, as well as the occurrence of twelve GI symptoms. Hierarchical linear modeling based on full maximum likelihood estimation was performed. RESULTS: Of the 1251 patients, 47.2% reported CIN. Across two cycles of CTX, lower functional status scores and higher levels of comorbidity were associated with higher initial levels of CIN. Younger age and emetogenicity of the CTX regimen were associated with higher initial levels as well as worse trajectories of CIN. The occurrence of five GI symptoms (i.e., vomiting, lack of appetite, constipation, feeling bloated, and difficulty swallowing) was associated with higher initial levels of CIN. The occurrence of mouth sores was associated with higher initial levels as well as with worst trajectories of CIN. CONCLUSIONS: This study is the first to identify distinct demographic, clinical, and GI symptom characteristics associated with CIN severity. These findings suggest that the etiology of CIN is complex and may warrant interventions beyond standard antiemetics.

Individualized Fall Prevention Program in an Acute Care Setting: An Evidence-Based Practice Improvement.

BACKGROUND: A 245-bed community hospital established patient fall prevention as its patient safety priority. PROBLEM: The hospital's fall prevention program was not consistently effective. The baseline fall rate was 3.21, higher than the National Database of Nursing Quality Indicators' median of 2.91. APPROACH: An interprofessional fall prevention team evaluated the hospital's fall program using the evidence-based practice improvement model. A clinical practice guideline with 7 key practices guided the development of an individualized fall prevention program with interventions to address 4 fall risk categories and an algorithm to identify interventions. Interventions included nurse-driven mobility assessment, purposeful hourly rounding, and video monitoring for confused and impulsive fall-risk patients. OUTCOMES: The fall rate decreased to 1.14, with a 72% expense reduction based on decreased sitter usage. CONCLUSIONS: An interprofessional team successfully reduced falls with an evidence-based fall prevention program.

Implementation of Enhanced Recovery After Surgery in a Community Hospital: An Evidence-Based Approach.

PURPOSE: Enhanced recovery after surgery (ERAS) is an evidence-based practice protocol that has been shown to reduce cost, decrease length of stay (LOS), and improve surgical outcomes. DESIGN: An evidence-based practice improvement project with a multidisciplinary team translated the ERAS protocol into practice at a community hospital. The evidence-based practice improvement design allows integration of evidence into projects to improve clinical outcomes for patients. METHODS: Small tests of change using the Plan-Act-Study-Do methodology were used to evaluate the process of implementing one surgical service at a time to ensure effective outcomes. After the process was determined to be effective, patient outcomes (eg, LOS) were measured. FINDINGS: On average, LOS was decreased from 3.2 to 1.7 days. Surgical readmission rate decreased from 3% to 1%. There has been positive feedback and nursing workload has decreased with consistent processes. CONCLUSIONS: The ERAS order set continues to be modified based on the evidence and feedback from anesthesia and registered nurses. Monthly reports ensure consistency.

Differential expression of genes and differentially perturbed pathways associated with very high evening fatigue in oncology patients receiving chemotherapy.

PURPOSE: Fatigue is the most common symptom associated with cancer and its treatment. Investigation of molecular mechanisms associated with fatigue in oncology patients may identify new therapeutic targets. The objectives of this study were to evaluate the relationships between gene expression and perturbations in biological pathways and evening fatigue severity in oncology patients who received chemotherapy (CTX). METHODS: The Lee Fatigue Scale (LFS) and latent class analysis were used to identify evening fatigue phenotypes. We measured 47,214 ribonucleic acid transcripts from whole blood collected prior to a cycle of CTX. Perturbations in biological pathways associated with differential gene expression were identified from public data sets (i.e., Kyoto Encyclopedia Gene and Genomes, BioCarta). RESULTS: Patients were classified into Moderate (n = 65, mean LFS score 3.1) or Very High (n = 195, mean LFS score 6.4) evening fatigue groups. Compared to patients with Moderate fatigue, patients with Very High fatigue exhibited differential expression of 29 genes. A number of the perturbed pathways identified validated prior mechanistic hypotheses for fatigue, including alterations in immune function, inflammation, neurotransmission, energy metabolism, and circadian rhythms. Based on our findings, energy metabolism was further divided into alterations in carbohydrate metabolism and skeletal muscle energy. Alterations in renal function-related pathways were identified as a potential new mechanism. CONCLUSIONS: This study identified differential gene expression and perturbed biological pathways that provide new insights into the multiple and likely inter-related mechanisms associated with evening fatigue in oncology patients.

Inflammatory pathway genes associated with inter-individual variability in the trajectories of morning and evening fatigue in patients receiving chemotherapy.

Fatigue, a highly prevalent and distressing symptom during chemotherapy (CTX), demonstrates diurnal and interindividual variability in severity. Little is known about the associations between variations in genes involved in inflammatory processes and morning and evening fatigue severity during CTX. The purposes of this study, in a sample of oncology patients (N=543) with breast, gastrointestinal (GI), gynecological (GYN), or lung cancer who received two cycles of CTX, were to determine whether variations in genes involved in inflammatory processes were associated with inter-individual variability in initial levels as well as in the trajectories of morning and evening fatigue. Patients completed the Lee Fatigue Scale to determine morning and evening fatigue severity a total of six times over two cycles of CTX. Using a whole exome array, 309 single nucleotide polymorphisms SNPs among the 64 candidate genes that passed all quality control filters were evaluated using hierarchical linear modeling (HLM). Based on the results of the HLM analyses, the final SNPs were evaluated for their potential impact on protein function using two bioinformational tools. The following inflammatory pathways were represented: chemokines (3 genes); cytokines (12 genes); inflammasome (11 genes); Janus kinase/signal transducers and activators of transcription (JAK/STAT, 10 genes); mitogen-activated protein kinase/jun amino-terminal kinases (MAPK/JNK, 3 genes); nuclear factor-kappa beta (NFkB, 18 genes); and NFkB and MAP/JNK (7 genes). After controlling for self-reported and genomic estimates of race and ethnicity, polymorphisms in six genes from the cytokine (2 genes); inflammasome (2 genes); and NFkB (2 genes) pathways were associated with both morning and evening fatigue. Polymorphisms in six genes from the inflammasome (1 gene); JAK/STAT (1 gene); and NFkB (4 genes) pathways were associated with only morning fatigue. Polymorphisms in three genes from the inflammasome (2 genes) and the NFkB (1 gene) pathways were associated with only evening fatigue. Taken together, these findings add to the growing body of evidence that suggests that morning and evening fatigue are distinct symptoms.

Factors associated with oncology patients' involvement in shared decision making during chemotherapy.

OBJECTIVE: Oncology patients are increasingly encouraged to play an active role in treatment decision making. While previous studies have evaluated relationships between demographic characteristics and decision-making roles, less is known about the association of symptoms and psychological adjustment characteristics (eg, coping styles and personality traits) and decision-making roles. METHODS: As part of a larger study of symptom clusters, patients (n = 765) receiving chemotherapy for breast, gastrointestinal, gynecological, or lung cancer provided information on demographic, clinical, symptom, and psychological adjustment characteristics. Patient-reported treatment decision-making roles (ie, preferred role and role actually played) were assessed using the Control Preferences Scale. Differences among patients, who were classified as passive, collaborative, or active, were evaluated using χ2 analyses and analyses of variance. RESULTS: Over half (56.3%) of the patients reported that they both preferred and actually played a collaborative role. Among those patients with concordant roles, those who were older, those with less education and lower income, and those who were less resilient were more likely to prefer a passive role. Several psychological adjustment characteristics were associated with decision-making role, including coping style, personality, and fatalism. CONCLUSIONS: Oncology patients' preferences for involvement in treatment decision making are associated with demographic characteristics as well as with symptoms and psychological adjustment characteristics, such as coping style and personality. These results reaffirm the complexities of predicting patients' preferences for involvement in decision making. Further study is needed to determine if role or coping style may be influenced by interventions designed to teach adaptive coping skills.

Characteristics associated with inter-individual differences in the trajectories of self-reported attentional function in oncology outpatients receiving chemotherapy.

PURPOSE: Between 14 and 85 % of patients report noticeable changes in cognitive function during chemotherapy (CTX). The purposes of this study were to determine which demographic, clinical, and symptom characteristics were associated with inter-individual variability in initial levels of attentional function as well as with changes in the trajectories of attentional function in a sample of oncology patients who received two cycles of CTX. METHODS: Oncology outpatients (n = 1329) were recruited from two comprehensive cancer centers, one veteran's affairs hospital, and four community-based oncology programs. The Attentional Function Index (AFI) was used to assess perceived effectiveness in completing daily tasks that required working memory and attention. Hierarchical linear modeling (HLM) was used to evaluate for inter-individual variability in initial levels and in the trajectories of attentional function. RESULTS: Demographic, clinical, and symptom characteristics associated with inter-individual differences of attentional function at enrollment (i.e., intercept) were as follows: employment status, functional status, trait anxiety, depressive symptoms, sleep disturbance, evening fatigue, and morning energy. Gender was the only characteristic associated with inter-individual differences in the trajectories of attentional function. Morning fatigue was the only characteristic associated with both initial levels and the trajectories of attentional function. CONCLUSIONS: Prior to their next dose of CTX, patients reported moderate levels of attentional function that persisted over two cycles of CTX. Many of the clinical and symptom characteristics associated with decrements in attentional function are amenable to interventions. Clinicians need to assess patients for changes in attentional function and associated characteristics and recommend evidence-based interventions.

Predictors of the multidimensional symptom experience of lung cancer patients receiving chemotherapy.

PURPOSE: Few studies have examined interindividual variability in the symptom experience of lung cancer patients. We aimed to identify the most prevalent, severe, and distressing symptoms, and risk factors associated with increased symptom burden. METHODS: Lung cancer patients (n = 145) reported occurrence, severity, and distress for 38 symptoms on the Memorial Symptom Assessment Scale 1 week after chemotherapy. Using multidimensional subscales, risk factors for higher global distress, physical, and psychological symptoms were evaluated using simultaneous linear regression. RESULTS: Mean age was 64.0 years and 56.6% were female. Mean Karnofsky Performance Status score was 79.1 (SD 14.6) and mean Self-Administered Comorbidity Questionnaire score was 7.3 (SD 3.9). The most distressing and prevalent symptom was fatigue. Problems with sexual interest/activity had the highest mean severity rating. Patients with lower functional status (p = 0.001) and higher comorbidity (p = 0.02) reported higher global distress. Similarly, lower functional status (p = 0.003) and higher comorbidity (p = 0.04) were associated with a higher physical symptom burden along with lower body mass index (p = 0.02). Higher psychology symptom burden was associated with lower functional status (p = 0.01), younger age (p = 0.02), non-metastatic disease (p = 0.03), higher number of prior treatments (p = 0.04), and income (p = 0.03). CONCLUSIONS: Fatigue was the most distressing and prevalent symptom among lung cancer patients receiving chemotherapy. Lower functional status was associated with a higher burden of global distress, physical, and psychological symptoms. Younger age and non-metastatic disease were additional risk factors for increased psychological symptoms. Together, these risk factors can help clinicians identify lung cancer patients at increased need for aggressive symptom management.

Modifiable and non-modifiable characteristics associated with sleep disturbance in oncology outpatients during chemotherapy.

PURPOSE: In a sample of outpatients with breast, gastrointestinal, gynecological, and lung cancer who received at least two cycles of chemotherapy (CTX), the purposes were to evaluate for inter-individual differences in the severity of sleep disturbance and determine which demographic, clinical, and symptom characteristics were associated with initial levels as well as the trajectories of sleep disturbance. METHODS: A total of 1331 patients completed study questionnaires in their homes, at six time points over two cycles of CTX (prior to CTX administration, approximately 1 week after CTX administration, and approximately 2 weeks after CTX administration). Questionnaires included demographic, clinical, and symptom assessments (i.e., General Sleep Disturbance Scale, Lee Fatigue Scale, Center for Epidemiological Studies-Depression Scale, Spielberger State-Trait Anxiety Inventories, Attentional Function Index). Hierarchical linear modeling based on full maximum likelihood estimation was performed. RESULTS: Characteristics associated with higher initial levels of sleep disturbance included higher body mass index, poorer functional status, higher trait anxiety, higher depressive symptoms, and higher evening fatigue. Characteristics associated with the worse trajectories of sleep disturbance were higher levels of education and higher sleep disturbance at enrollment. Characteristics associated with both higher initial levels and worse trajectories of sleep disturbance were higher morning fatigue and worse attentional function. CONCLUSIONS: A large amount of inter-individual variability exists in sleep disturbance during CTX. The modifiable and non-modifiable characteristics found in this study can be used to identify higher risk patients and provide earlier interventions to reduce sleep disturbance.

Subgroups of chemotherapy patients with distinct morning and evening fatigue trajectories.

PURPOSE: Purposes of this study were to identify subgroups of patients with distinct trajectories for morning and evening fatigue, evaluate for differences in demographic and clinical characteristics among these subgroups, and compare and contrast the predictors of subgroup membership for morning and evening fatigue. METHODS: Outpatients with breast, gastrointestinal, gynecological, or lung cancer (n = 582) completed questionnaires, a total of six times over two cycles of chemotherapy (CTX). Morning and evening fatigue severity were evaluated using the Lee Fatigue Scale. Latent profile analysis (LPA) was used to identify distinct subgroups. RESULTS: Three latent classes were identified for morning fatigue (i.e., low (31.8 %), high (51.4 %), and very high (16.8 %)) and for evening fatigue (i.e., moderate (20.0 %), high (21.8 %), and very high (58.2 %)). Most of the disease and treatment characteristics did not distinguish among the morning and evening fatigue classes. Compared to the low class, patients in the high and very high morning fatigue classes were younger, had a lower functional status, and higher level of comorbidity. Compared to the moderate class, patients in the very high evening fatigue class were younger, more likely to be female, had child care responsibilities, had a lower functional status, and a higher level of comorbidity. CONCLUSION: LPA allows for the identification of risk factors for more severe fatigue. Since an overlap was not observed across the morning and evening fatigue classes and unique predictors for morning and evening fatigue were identified, these findings suggest that morning and evening fatigue may have distinct underlying mechanisms.