Faculty Bibliography

AIM: Endothelial lipase (EL) is a key enzyme in lipid metabolism, and a polymorphism in the EL gene may be a candidate for modulating lipid parameters in type 2 diabetic (T2D) patients. METHODS: In 396 T2D patients (age: 59.5 +/- 10.7 years; BMI: 28.9 +/- 5.3 kg/m(2); HbA(1c): 8.2 +/- 1.9%), the c.584C>T polymorphism (rs2000813, p.Thr111Ile) was studied in 225 men (frequency of c.584T: 0.351) and 171 women (frequency of c.584T: 0.304). Patients' metabolic parameters, and macrovascular and microvascular complications, were assessed at baseline and at follow-up (mean: 4.2 years). RESULTS: Patients who were homozygous for the minor allele displayed modestly decreased low-density lipoprotein (LDL) cholesterol and raised apolipoprotein B at baseline, and raised systolic blood pressure and high-density lipoprotein (HDL) cholesterol on follow-up. Homozygosity for the minor allele was significantly associated with frequency of retinopathy (P=0.025), with TT homozygous patients more likely to have diabetic retinopathy (OR: 3.505; 95% CI: 1.491-8.239) both initially and at follow-up. CONCLUSION: The c.584C>T EL polymorphism is associated with a higher risk of diabetic retinopathy that could be linked to modifications in HDL-cholesterol metabolism and blood pressure levels.

Multiple concurrent symptoms are highly prevalent in patients with cancer. However, little is known about the relationships among these symptoms and their underlying mechanisms. A number of cytokines that are involved in the development of sickness behavior are hypothesized to be a mechanism for symptom clusters. Measurement of these cytokines would provide valuable information that could be used to elucidate mechanisms underlying the development of symptom clusters and the identification of potential targets for intervention studies. In this article, the authors explore several issues that warrant careful consideration when designing a research study involving the use of a cytokine as a biomarker in symptom cluster research. These issues include which molecules to measure, which specimens to collect, the timing of specimen collection and processing, and which technologies to use to measure the biomarker and the sensitivity and specificity of the assay system. The article begins with a brief discussion of cytokines and sickness behavior and the role of the cytokines in cancer-related symptoms.

PURPOSE OF THE RESEARCH: The purpose of this study was to describe the occurrence of significant mood disturbance and evaluate for differences in sleep quality among four mood groups (i.e., neither anxiety nor depression, only anxiety, only depression, anxiety and depression) prior to the initiation of radiation therapy (RT). METHODS AND SAMPLE: Patients (n=179) with breast, prostate, lung, and brain cancer were evaluated prior to the initiation of RT using the Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiological Studies Depression Scale, and the Spielberger State Anxiety Inventory. Differences in sleep disturbance among the four mood groups were evaluated using analyses of variance. KEY RESULTS: While 38% of the patients reported some type of mood disturbance, 57% of the patients reported sleep disturbance. Patients with clinically significant levels of anxiety and depression reported the highest levels of sleep disturbance. CONCLUSIONS: Overall, oncology patients with mood disturbances reported more sleep disturbance than those without mood disturbance. Findings suggest that oncology patients need to be assessed for mood and sleep disturbances.

CONTEXT: Fatigue and sleep disturbance are common problems in oncology patients and their family caregivers (FCs). However, little is known about factors that contribute to interindividual variability in these symptoms or to their underlying biologic mechanisms. OBJECTIVES: An evaluation was done on whether genetic variation in a prominent proinflammatory cytokine, interleukin-6 (IL-6 c.-6101A>T [rs4719714]), was associated with mean ratings of evening fatigue, morning fatigue, and sleep disturbance, as well as with the trajectories of these symptoms. METHODS: Over six months, participants completed standardized measures of fatigue and sleep disturbance. Linear regression was used to assess the effect of the IL-6 genotype and other covariates on mean fatigue and sleep disturbance scores. Hierarchical linear modeling was used to determine the effect of the IL-6 genotype on symptom trajectories. RESULTS: Common allele homozygotes reported higher levels of evening fatigue (P=0.003), morning fatigue (P=0.09), and sleep disturbance (P=0.003) than minor allele carriers. Predictors of baseline level and trajectories of evening fatigue included age, gender, and genotype (intercepts) and baseline level of evening fatigue (slope). Predictors of baseline level and trajectories of morning fatigue included age and genotype (intercept) and age and baseline level of morning fatigue (slope). Predictors of baseline level and trajectories of sleep disturbance included age and genotype (intercept) and baseline level of sleep disturbance (slope). CONCLUSIONS: Findings provide preliminary evidence of a genetic association between a functional promoter polymorphism in the IL-6 gene and severity of evening fatigue, morning fatigue, and sleep disturbance in oncology patients and their FCs.

AIMS/HYPOTHESIS: The aim of this study was to define the prevalence of the metabolic syndrome and its component risk factors among individuals of South Asian origin living in the United States. METHODS: We analyzed baseline data from 1,445 participants enrolled in a cohort study investigating risk factors for cardiovascular disease in South Asians. We defined the metabolic syndrome using the International Diabetes Federation criteria for waist circumference (>90 cm for men; >80 cm, women), triglycerides (>150 mg/dL), high-density lipoprotein cholesterol (HDL-C) (<40 mg/dL (men), < mg/dL (women)), blood pressure (>135/80 mmHg), and fasting glucose (>100 mg/dL). RESULTS: The mean age was 43 +/-10 years, and 30% of participants were women. The prevalence of metabolic syndrome was 27% (31% men vs. 17% women, P < 0.05). Fifty-nine percent of the cohort had high waist circumference (58% men vs. 62% women, P = not significant [N.S.]), 47% had low HDL-C [46% men vs. 48% women (NS)], 19% had elevated triglycerides (23% men vs. 8% women, P < 0.05), 14% had hypertension (16% men vs. 9% women, P < 0.05), and 13% had elevated fasting glucose (18% men vs. 11% women, P < 0.05). The most common metabolic syndrome phenotype is low HDL-C with elevated triglycerides. CONCLUSIONS: Although the prevalence of the metabolic syndrome is lower than previous reports of South Asians, the prevalence is still unacceptably high despite the presence of protective demographic factors.

PURPOSE/OBJECTIVES: To examine how attentional fatigue changed from the time of simulation to four months after the completion of radiation therapy and to investigate whether specific variables predicted initial levels and trajectories of attentional fatigue. DESIGN: Descriptive, longitudinal study. SETTING: Two radiation therapy departments. SAMPLE: 73 women with breast cancer who received primary or adjuvant radiation therapy. METHODS: Participants completed questionnaires prior to, during, and after radiation therapy. Descriptive statistics and hierarchical linear modeling were used for data analysis. MAIN RESEARCH VARIABLES: Attentional fatigue; demographic, clinical, and symptom characteristics. FINDINGS: Large amounts of interindividual variability were found in the trajectories of attentional fatigue. At baseline, higher levels of attentional fatigue were associated with younger age, not working, a higher number of comorbidities, and higher levels of trait anxiety. The trajectory of attentional fatigue improved over time for women with higher body mass index at baseline. CONCLUSIONS: This study is the first to identify predictors of interindividual variability in attentional fatigue in women with breast cancer undergoing radiation therapy. The predictors should be considered in the design of future correlational and interventional studies. IMPLICATIONS FOR NURSING: Nurses could use knowledge of the predictors to identify patients at risk for higher levels of attentional fatigue. In addition, nurses could use the information to educate patients about how attentional fatigue may change during and following radiation therapy for breast cancer.

BACKGROUND: Metabolic syndrome is a combination of risk factors for cardiovascular disease and diabetes, It has been reported to be increased in human immunodeficiency virus (HIV)-infected individuals. METHODS: In a cohort of HIV-infected adults we examined parameters that contribute to defining the metabolic syndrome and to estimating the 10-year risk of coronary heart disease (CHD). The study group consisted of 296 participants (217 men and 79 women) of mixed ethnicity with a mean age of 45.3 years. RESULTS: There was an appreciable prevalence of metabolic syndrome (30.0%), with the frequency increasing to 42.5% in those over 50 years of age. Those with the metabolic syndrome had a lower viral load. More women had abdominal obesity (59.5%) than men (20.7%, P < 0.001). The frequency of elevated plasma glucose was higher in females (37.2%) compared to males (16.9%, P = 0.004). High frequencies of decreased high-density lipoprotein cholesterol (HDL-C) and elevated blood pressure were seen in both sexes. Hypertriglyceridemia was less prevalent in African Americans. In those under 50 years of age, the 10-year CHD risk score for men was double that for women (6.2% vs 2.7%, P < 0.001). In older participants, the risk was similar between the sexes, with a third having scores over 10%. CONCLUSIONS: The prevalence of metabolic syndrome was higher than in most other HIV cohorts. Those with the syndrome had significantly lower viral loads. Mean 10-year Framingham Cardiovascular Risk (FCR) scores were nearly doubled for those with metabolic syndrome. Both researchers and clinicians should consider age as well as sex when assessing patients with HIV infection for risks associated with metabolic syndrome.

BACKGROUND: Fatigue is a significant problem associated with radiation therapy (RT). OBJECTIVE: This study examined how evening and morning fatigue changed from the time of simulation to 4 months after the completion of RT and investigated whether specific demographic and disease characteristics and baseline severity of symptoms predicted the initial levels of fatigue and characteristics of the trajectories of fatigue. METHODS: Seventy-three women with breast cancer completed questionnaires that assessed sleep disturbance, depression, anxiety, and pain prior to the initiation of RT and the Lee Fatigue Scale, over 6 months. Descriptive statistics and hierarchical linear modeling were used for data analysis. RESULTS: Large amounts of interindividual variability were found in the trajectories of fatigue. Evening fatigue at baseline was negatively influenced by having children at home and depression. The trajectory of evening fatigue was worse for women who were employed. Morning fatigue at baseline was influenced by younger age, lower body mass index, and the degree of sleep disturbance and trait anxiety. Trajectories of morning fatigue were worse for patients with a higher disease stage and more medical comorbidities. CONCLUSION: Interindividual and diurnal variability in fatigue found in women with breast cancer is similar to that found in men with prostate cancer. However, the predictors of interindividual variability in fatigue between these 2 cohorts were different. IMPLICATIONS FOR PRACTICE: Diurnal variability and different predictors for morning and evening fatigue suggest different underlying mechanisms. The various predictors of fatigue need to be considered in the design of future intervention studies.

Studies suggest that people living with HIV (PLWH) experience many unrelieved symptoms. The purpose of this study was to estimate the occurrence of pain in adult PLWH and to determine whether participants with pain differed from those without pain on selected demographic factors, clinical characteristics, symptoms of fatigue, sleep disturbance, anxiety, or depression. The authors conducted a descriptive, comparative, and correlational study of 317 PLWH seen at academic and community clinics in San Francisco. Participants completed a demographic questionnaire, the Memorial Symptom Assessment Scale, the Fatigue Severity Scale, the General Sleep Disturbance Scale, the Profile of Moods State Tension-Anxiety subscale, and the Center for Epidemiological Studies-Depression Scale. Clinical characteristics (i.e., disease and treatment information) were obtained by self-report. A single item on pain from the Memorial Symptom Assessment Scale was used to classify participants into those with and without pain. Pain was highly prevalent (55%) and was associated with immune status (CD4+ T-cell count), race, and sleep disturbance, but not with age, gender, or symptoms of fatigue, depression, or anxiety.

PURPOSE/OBJECTIVES: To describe the percentages of men with and without changes in sexual function from the beginning to end of radiation therapy and evaluate for differences in demographic and clinical characteristics, mood states, and quality of life (QOL) among patients who did and did not experience changes in sexual function. DESIGN: Descriptive, longitudinal. SETTING: Two radiation therapy departments in northern California. SAMPLE: 70 men with prostate cancer who underwent primary or adjuvant radiation therapy. METHODS: Self-report questionnaires, medical record reviews, and repeated measures analysis of variance. MAIN RESEARCH VARIABLES: Changes in sexual function; depression, anxiety, and QOL. FINDINGS: Patients were categorized into one of four sex groups (No Problem X 2, Problem-No Problem, No Problem-Problem, and Problem X 2) based on their responses to "Is your sexuality impacted by your illness?" at the beginning and end of radiation therapy. About 50% had a problem with sexual function either at the beginning or end of radiation therapy. Overall, men without sexual problems at both the beginning and end of radiation therapy had significantly less anxiety and depression and higher QOL scores than patients who developed a problem at the end and patients who had a problem at both time points. CONCLUSIONS: Changes in sexual function during the course of radiation therapy affect patients' mood and QOL. IMPLICATIONS FOR NURSING: Clinicians should evaluate the effects of radiation therapy on sexual function and monitor patients with prostate cancer for depression and anxiety as well as for changes in QOL.