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Background: The Institute of Medicine (IOM) report, "Unequal Treatment," which defines disparities as racially based, indicates that disparities in cancer diagnosis and treatment are less clear. While a number of studies have acknowledged cancer disparities, they have limitations of retrospective nature, small sample sizes, inability to control for covariates, and measurement errors., Objective: The purpose of this study was to examine disparities as predictors of survival among newly diagnosed head and neck cancer patients recruited from 3 hospitals in Michigan, USA, while controlling for a number of covariates (health behaviors, medical comorbidities, and treatment modality)., Methods: Longitudinal data were collected from newly diagnosed head and neck cancer patients (N = 634). The independent variables were median household income, education, race, age, sex, and marital status. The outcome variables were overall, cancer-specific, and disease-free survival censored at 5 years. Kaplan-Meier curves and univariate and multivariate Cox proportional hazards models were performed to examine demographic disparities in relation to survival., Results: Five-year overall, cancer-specific, and disease-free survival were 65.4% (407/622), 76.4% (487/622), and 67.0% (427/622), respectively. Lower income (HR, 1.5; 95% CI, 1.1-2.0 for overall survival; HR, 1.4; 95% CI, 1.0-1.9 for cancer-specific survival), high school education or less (HR, 1.4; 95% CI, 1.1-1.9 for overall survival; HR, 1.4; 95% CI, 1.1-1.9 for cancer-specific survival), and older age in decades (HR, 1.4; 95% CI, 1.2-1.7 for overall survival; HR, 1.2; 95% CI, 1.1-1.4 for cancer-specific survival) decreased both overall and disease-free survival rates. A high school education or less (HR, 1.4; 95% CI, 1.0-2.1) and advanced age (HR, 1.3; 95% CI, 1.1-1.6) were significant independent predictors of poor cancer-specific survival., Conclusion: Low income, low education, and advanced age predicted poor survival while controlling for a number of covariates (health behaviors, medical comorbidities, and treatment modality). Recommendations from the Institute of Medicine's Report to reduce disparities need to be implemented in treating head and neck cancer patients.

Background: Health behaviors have been shown to be associated with recurrence risk and survival rates in patients with cancer and are also associated with interleukin-6 (IL-6) levels, but few epidemiologic studies have investigated the relationship of health behaviors and IL-6 among cancer populations. The purpose of the study is to look at the relationship between five health behaviors, viz.: smoking, alcohol problems, body mass index (BMI; a marker of nutritional status), physical activity, and sleep and pretreatment IL-6 levels in persons with head and neck cancer., Methods: Patients (N = 409) were recruited in otolaryngology clinic waiting rooms and invited to complete written surveys. A medical record audit was also conducted. Descriptive statistics and multivariate analyses were conducted to determine which health behaviors were associated with higher IL-6 levels controlling for demographic and clinical variables among patients with newly diagnosed head and neck cancer., Results: While smoking, alcohol problems, BMI, physical activity, and sleep were associated with IL-6 levels in bivariate analysis, only smoking (current and former) and decreased sleep were independent predictors of higher IL-6 levels in multivariate regression analysis. Covariates associated with higher IL-6 levels were age and higher tumor stage, whereas comorbidities were marginally significant., Conclusion: Health behaviors, particularly smoking and sleep disturbances, are associated with higher IL-6 levels among patients with head and neck cancer., Impact: Treating health behavior problems, especially smoking and sleep disturbances, may be beneficial to decreasing IL-6 levels, which could have a beneficial effect on overall cancer treatment outcomes.

Objectives/hypothesis: The objective of this study was to determine the predictors of sleep quality among head and neck cancer patients 1 year after diagnosis., Study Design: This was a prospective, multisite cohort study of head and neck cancer patients (N = 457)., Methods: Patients were surveyed at baseline and 1 year after diagnosis. Chart audits were also conducted. The dependent variable was a self-assessed sleep score 1 year after diagnosis. The independent variables were a 1 year pain score, xerostomia, treatment received (radiation, chemotherapy, and/or surgery), presence of a feeding tube and/or tracheotomy, tumor site and stage, comorbidities, depression, smoking, problem drinking, age, and sex., Results: Both baseline (67.1) and 1-year postdiagnosis (69.3) sleep scores were slightly lower than population means (72). Multivariate analyses showed that pain, xerostomia, depression, presence of a tracheotomy tube, comorbidities, and younger age were statistically significant predictors of poor sleep 1 year after diagnosis of head and neck cancer (P < .05). Smoking, problem drinking, and female sex were marginally significant (P < .09). Type of treatment (surgery, radiation and/or chemotherapy), primary tumor site, and cancer stage were not significantly associated with 1-year sleep scores., Conclusions: Many factors adversely affecting sleep in head and neck cancer patients are potentially modifiable and appear to contribute to decreased quality of life. Strategies to reduce pain, xerostomia, depression, smoking, and problem drinking may be warranted, not only for their own inherent value, but also for improvement of sleep and the enhancement of quality of life.

Purpose/objectives: To determine the predictors of participation in a smoking-cessation program among patients with head and neck cancer., Design: This cross-sectional study is a substudy of a larger, randomized trial of patients with head and neck cancer that determined the predictors of smokers' participation in a cessation intervention., Setting: Otolaryngology clinics at three Veterans Affairs medical centers (Ann Arbor, MI, Gainesville, FL, and Dallas, TX), and the University of Michigan Hospital in Ann Arbor., Sample: 286 patients who had smoked within six months of the screening survey were eligible for a smoking-cessation intervention., Methods: Descriptive statistics and bivariate and multivariate logistic regression were used to determine the independent predictors of smokers' participation in an intervention study., Main Research Variables: Perceived difficulty quitting (as a construct of self-efficacy), health behaviors (i.e., smoking and problem drinking), clinical characteristics (i.e., depression and cancer site and stage), and demographic variables., Findings: Forty-eight percent of those eligible participated. High perceived difficulty quitting was the only statistically significant predictor of participation, whereas problem drinking, lower depressive symptoms, and laryngeal cancer site approached significance., Conclusions: Special outreach may be needed to reach patients with head and neck cancer who are overly confident in quitting, problem drinkers, and patients with laryngeal cancer., Implications for Nursing: Oncology nurses are in an opportune position to assess patients' perceived difficulty quitting smoking and motivate them to enroll in cessation programs, ultimately improving quality of life, reducing risk of recurrence, and increasing survival for this population.

Purpose: Our prior work has shown that the health behaviors of head and neck cancer patients are interrelated and are associated with quality of life; however, other than smoking, the relationship between health behaviors and survival is unclear., Patients and Methods: A prospective cohort study was conducted to determine the relationship between five pretreatment health behaviors (smoking, alcohol, diet, physical activity, and sleep) and all-cause survival among 504 head and neck cancer patients., Results: Smoking status was the strongest predictor of survival, with both current smokers (hazard ratio [HR] = 2.4; 95% CI, 1.3 to 4.4) and former smokers (HR = 2.0; 95% CI, 1.2 to 3.5) showing significant associations with poor survival. Problem drinking was associated with survival in the univariate analysis (HR = 1.4; 95% CI, 1.0 to 2.0) but lost significance when controlling for other factors. Low fruit intake was negatively associated with survival in the univariate analysis only (HR = 1.6; 95% CI, 1.1 to 2.1), whereas vegetable intake was not significant in either univariate or multivariate analyses. Although physical activity was associated with survival in the univariate analysis (HR = 0.95; 95% CI, 0.93 to 0.97), it was not significant in the multivariate model. Sleep was not significantly associated with survival in either univariate or multivariate analysis. Control variables that were also independently associated with survival in the multivariate analysis were age, education, tumor site, cancer stage, and surgical treatment., Conclusion: Variation in selected pretreatment health behaviors (eg, smoking, fruit intake, and physical activity) in this population is associated with variation in survival.

Objective: To determine differences in quality of life (QOL) between patients with head and neck cancer who receive chemoradiation versus chemoradiation and neck dissection., Methods: A prospective cohort study was conducted at two tertiary otolaryngology clinics and a Veterans Administration hospital., Sample: 103 oropharyngeal patients with Stage IV squamous cell carcinoma treated via chemoradiation +/- neck dissection., Intervention: self-administered health survey to collect health, demographic, and QOL information pretreatment and 1 year later., Main Outcome Measures: QOL via SF-36 and HNQoL. Descriptive statistics were calculated for health/clinical characteristics, demographics, and QOL scores. t tests evaluated changes in QOL over time., Results: Sixty-five patients underwent chemoradiation and 38 patients underwent chemoradiation and neck dissection. Only the pain index of the SF-36 showed a significant difference between groups (P < 0.05) with the neck dissection group reporting greater pain., Conclusions: After post-treatment neck dissection, patients experience statistically significant decrement in bodily pain domain scores, but other QOL scores are similar to those of patients who underwent chemoradiation alone.

Background: Increased pretreatment serum interleukin (IL)-6 levels among patients with head and neck squamous cell carcinoma (HNSCC) have been shown to correlate with poor prognosis, but sample sizes in prior studies have been small and thus unable to control for other known prognostic variables., Methods: A longitudinal, prospective cohort study determined the correlation between pretreatment serum IL-6 levels, and tumor recurrence and all-cause survival in a large population (N = 444) of previously untreated HNSCC patients. Control variables included age, sex, smoking, cancer site and stage, and comorbidities. Kaplan-Meier plots and univariate and multivariate Cox proportional hazards models were used to study the association between IL-6 levels, control variables, and time to recurrence and survival., Results: The median serum IL-6 level was 13 pg/mL (range, 0-453). The 2-year recurrence rate was 35.2% (standard error, 2.67%). The 2-year death rate was 26.5% (standard error, 2.26%). Multivariate analyses showed that serum IL-6 levels independently predicted recurrence at significant levels [hazard ratio (HR) = 1.32; 95% confidence interval (CI), 1.11 to 1.58; P = .002] as did cancer site (oral/sinus). Serum IL-6 level was also a significant independent predictor of poor survival (HR = 1.22; 95% CI, 1.02 to 1.46; P = .03), as were older age, smoking, cancer site (oral/sinus), higher cancer stage, and comorbidities., Conclusions: Pretreatment serum IL-6 could be a valuable biomarker for predicting recurrence and overall survival among HNSCC patients. Using IL-6 as a biomarker for recurrence and survival may allow for earlier identification and treatment of disease relapse., (2008 American Cancer Society)

Purpose: The purpose of this study was to examine whether quality of life (QOL) scores predict survival among patients with head and neck cancer, controlling for demographic, health behavior, and clinical variables., Patients and Methods: A self-administered questionnaire was given to 495 patients being treated for head and neck cancer while they were waiting to be seen for a clinic appointment. Data collected from the survey included demographics, health behaviors, and QOL as measured by Short Form-36 (SF-36) physical and mental component scores and the Head and Neck QOL scores. Clinical measures were collected by chart abstraction. Kaplan-Meier plots and univariate and multivariate Cox proportional hazards models were used to determine the association between QOL scores and survival time., Results: After controlling for age, time since diagnosis, marital status, education, tumor site and stage, comorbidities, and smoking, the SF-36 physical component score and three of the four Head and Neck QOL scales (pain, eating, and speech domains) were associated with survival. Controlling for the same variables, the SF-36 mental component score and the emotional domain of the Head and Neck QOL were not associated with survival., Conclusion: QOL instruments may be valuable screening tools to identify patients who are at high risk for poor survival. Those with low QOL scores could be followed more closely, with the potential to identify recurrence earlier and perform salvage treatments, thereby possibly improving survival for this group of patients.

Objectives: To characterize and compare quality of life (QOL) in patients with head and neck cancer shortly before initial treatment and 1 year later and to study the predictors of changes in QOL over 1 year., Design: Prospective cohort study., Setting: Three otolaryngology clinics., Patients: Three hundred sixteen patients having newly diagnosed squamous cell head and neck cancer., Main Outcome Measure: Health-related QOL was assessed using the 36-item Short-Form Health Survey and a head and neck cancer-specific QOL scale., Results: Over 1 year, QOL decreased for physical functioning measures and eating but improved for mental health QOL. Depression and smoking were major predictors of poor QOL at baseline. Major predictors of change in QOL from baseline to 1 year were treatment factors, especially feeding tube placement (9 scales), chemotherapy (3 scales), and radiation therapy (3 scales). Baseline smoking and depressive symptoms also remained significant predictors of several QOL scales at 1 year., Conclusions: Health-related physical QOL tended to decline over 1 year and mental health QOL improved. The major predictors of change in QOL were treatment factors, smoking, and depressive symptoms. Physicians should alert patients to the relative effects on QOL one may experience with different treatments.

Background: This prospective, cohort study is the first to describe 5 health behaviors of head and neck cancer patients the first year after diagnosis., Methods: Patients (N = 283) were recruited in otolaryngology clinic waiting rooms and asked to complete written surveys. A medical record audit was also conducted. Descriptive statistics and multivariate analyses were conducted to determine which variables were associated with the 5 health behaviors., Results: Half of the patients smoked and 25% were problem drinkers. Over half of the smokers and drinkers quit 1 year post-diagnosis. Smoking and problem drinking were highly associated and both were associated with lower body mass index (BMI) (p < .01). Moreover, physical activity and sleep were associated with each other (p < .01). Low SLEEP (Medical Outcomes Study Sleep Scale) scores were common and highly associated with depression (p < .01)., Conclusion: The health behaviors of head and neck cancer patients are interrelated, and assessing and treating these behaviors together may be beneficial., (Copyright (c) 2007 Wiley Periodicals, Inc.)

Smoking negatively affects serum carotenoid levels, and it is a negative prognostic factor for head and neck cancer. In this study, micronutrient levels were examined in 60 smoking and non-smoking head and neck cancer patients. The goal was to determine if oxidation of the carotenoid lycopene would occur to a greater extent in smokers. Subjects were drawn from a prospective cohort study and matched on seven demographic factors. Serum levels of alpha-carotene, zeaxanthin, and 2,6-cyclolycopene-1,5-diol A, an oxidation product of lycopene, were all lower in smokers versus non-smokers (18%, 22%, and 8%, respectively) while beta-carotene, beta-cryptoxanthin, and lutein were about the same in the two groups. Levels of lycopene, gamma-tocopherol, and alpha-tocopherol were higher in smokers, and notably serum alpha-tocopherol was 48% higher in smokers. The majority of vitamin E intake was from supplements. The higher levels of alpha-tocopherol in smokers were interesting in that higher alpha-tocopherol levels have been associated with higher mortality in head and neck cancer. Although this was a pilot investigation, there was no evidence that 2,6-cyclolycopene-1,5-diol A formation was appreciably affected by smoking status, but alpha-tocopherol levels were higher in smokers.

Objectives: To determine the accuracy of self-reported comorbidities compared with medical record review and the clinical and sociodemographic characteristics associated with accuracy of self-reported comorbidities., Study Design: We conducted a prospective study of 458 newly diagnosed head and neck cancer patients using self-administered questionnaire and medical chart review data. Overall and itemwise consistency between self-report and chart review was evaluated. Social, clinical, and demographic characteristics of consistent versus inconsistent responders were analyzed., Results: Seventy-four percent of patients had at least one comorbidity. There was good overall consistency between self-report and chart review (kappa = 0.50). Compared with consistent responders, inconsistent responders were found to be older (P < 0.05), have lower sleep (P < 0.05) and physical activity scores (P < 0.05), be more depressed (P < 0.05), and have more severe comorbidities (P < 0.05)., Conclusions and Significance: Self-report may be considered as an alternative to chart review for comorbidity assessment in head and neck cancer patients. Younger patients, those with good general health, fewer depressive symptoms, and mild comorbidities, are more likely to give responses consistent with chart review.

The authors examined the relationship between depressive symptoms, smoking, problem drinking, and quality of life among 973 head and neck cancer patients who were surveyed and had their charts audited. Forty-six percent screened positive for depressive symptoms, 30% smoked, and 16% screened positive for problem drinking. Controlling for clinical and demographic variables, linear-regression analyses showed that depressive symptoms had a strong negative association with all 12 quality-of-life scales; smoking had a negative association on all but one of the quality-of-life scales; and problem drinking was not associated with any of the quality-of-life scales. Interventions targeting depression, smoking, and problem drinking need to be integrated into oncology clinics.

Background: Smoking, alcohol use, and depression are interrelated and highly prevalent in patients with head and neck cancer, adversely affecting quality of life and survival. Smoking, alcohol, and depression share common treatments, such as cognitive behavioral therapy and antidepressants. Consequently, we developed and tested a tailored smoking, alcohol, and depression intervention for patients with head and neck cancer., Methods: Patients with head and neck cancer with at least one of these disorders were recruited from the University of Michigan and three Veterans Affairs medical centers. Subjects were randomized to usual care or nurse-administered intervention consisting of cognitive behavioral therapy and medications. Data collected included smoking, alcohol use, and depressive symptoms at baseline and at 6 months., Results: The mean age was 57 years. Most participants were male (84%) and White (90%). About half (52%) were married, 46% had a high school education or less, and 52% were recruited from Veterans Affairs sites. The sample was fairly evenly distributed across three major head and neck cancer sites and over half (61%) had stage III/IV cancers. Significant differences in 6-month smoking cessation rates were noted with 47% quitting in the intervention compared with 31% in usual care (P < 0.05). Alcohol and depression rates improved in both groups, with no significant differences in 6-month depression and alcohol outcomes., Conclusion: Treating comorbid smoking, problem drinking, and depression may increase smoking cessation rates above that of usual care and may be more practical than treating these disorders separately.

Objective: To identify clinical factors associated with enteral feeding tube placement in a head and neck cancer population., Design: A self-administered survey was given to patients being treated for head and neck cancer while they were waiting to be seen in 1 of 4 otolaryngology clinics. The post hoc analysis presented here combines survey and chart review data to determine clinical and demographic variables associated with feeding tube placement., Setting: Four otolaryngology clinics., Patients: Otolaryngology clinic patients being treated for head and neck cancer., Main Outcome Measure: Enteral feeding tube placement., Results: Of the 724 patients eligible for this study, 14% (n = 98) required enteral feeding tube placement. Multivariate analysis found the following variables to be independently associated with feeding tube placement: oropharynx/hypopharynx tumor site (odds ratio [OR], 2.4; P = .01), tumor stage III/IV (OR, 2.1; P = .03), flap reconstruction (OR, 2.2; P = .004), current tracheotomy (OR, 8.0; P<.001), chemotherapy (OR, 2.6; P<.001), and increased age (OR, 1.3; P = .02). In addition, there was a curvilinear relationship between time since treatment and feeding tube placement, with about 30% having a feeding tube at 1 month posttreatment, tapering down during the first 3 years to about 8% and leveling off thereafter., Conclusions: Identification of factors associated with an increased risk of feeding tube placement may allow physicians to better counsel patients regarding the possibility of feeding tube placement during treatment. Since feeding tube placement has been linked to decreased quality of life in head and neck cancer, such counseling is an integral part of the clinical management of these patients.

Background: Patients with head and neck cancer often experience debilitating speech, eating, and respiratory problems as well as the psychological effects of loss of function and change in body image. These patients often become unemployed as a result of their disease process, which adds financial burden to their already stressful lives. Yet the specific factors associated with unemployment have not been systematically studied., Methods: This multisite study used survey and chart data to determine the predictors of work-related disability., Results: Of the 384 patients who were working prior to their diagnosis of head and neck cancer, 52% (n = 201) were disabled by their cancer treatment. Multivariate analysis demonstrated significant links between disability and chemotherapy (odds ratio [OR], 3.4; P <.001), neck dissection status (OR, 2.3; P =.01), pain scores (OR, 1.2; P =.01), and time since diagnosis (OR, 0.9; P =.04)., Conclusions: More than half of the patients in this study were disabled by their head and neck cancer or treatment. Patients with head and neck cancer who have undergone chemotherapy or neck dissection or have high pain scores are at increased risk for disability from their cancer or their treatment. Efforts to prevent (if possible), better assess, and treat pain and other adverse effects of head and neck cancer treatments may also have the potential to reduce patient disability.

Background Patients with head and neck cancer often experience debilitating speech, eating, and respiratory problems as well as the psychological effects of loss of function and change in body image. These patients often become unemployed as a result of their disease process, which adds financial burden to their already stressful lives. Yet the specific factors associated with unemployment have not been systematically studied. Methods This multisite study used survey and chart data to determine the predictors of work-related disability. Results Of the 384 patients who were working prior to their diagnosis of head and neck cancer, 52% (n = 201) were disabled by their cancer treatment. Multivariate analysis demonstrated significant links between disability and chemotherapy (odds ratio [OR], 3.4; P <.001), neck dissection status (OR, 2.3; P = .01), pain scores (OR, 1.2; P = .01), and time since diagnosis (OR, 0.9; P = .04). Conclusions More than half of the patients in this study were disabled by their head and neck cancer or treatment. Patients with head and neck cancer who have undergone chemotherapy or neck dissection or have high pain scores are at increased risk for disability from their cancer or their treatment. Efforts to prevent (if possible), better assess, and treat pain and other adverse effects of head and neck cancer treatments may also have the potential to reduce patient disability. [ABSTRACT FROM AUTHOR]

Objective: To identify clinical predictors of quality of life (QoL) in a head and neck cancer patient population. Design, Patients, and Setting: A convenience sample of 570 patients with upper aerodigestive tract cancers were surveyed at a tertiary care oncology clinic and Veterans Affairs otolaryngology clinic. Interventions: A self-administered health survey was constructed to collect demographic, health, smoking, alcohol, depression symptom, and QoL information. Tumor site and tumor stage, clinical, and treatment data were abstracted from the patient medical records. Main Outcome Measures: Quality of life was as- sessed using the Medical Outcomes Study Short-Form 36Item Health Survey (SF-36) and the Head and Neck QoL (HNQoL) instrument. Results: Of the 570 eligible respondents, the presence of a feeding tube had the most negative impact on QoL, with significant decrements in 6 of the 8 SF-36 scales and all 4 HNQoL scales (P<.01). In descending order of severity, medical comorbid conditions, presence of a tracheotomy tube, chemotherapy, and neck dissection were also associated with significant (P<.05) decrements in QoL domains. Patients who took the survey more than 1 year after diagnosis had improved QoL in 7 of 12 domains. Hospital site, age, education level, sex, race, and marital status were also significant predictors of QoL. Conclusion: There are at least 13 demographic and clinical characteristics that are significant predictors of QoL in patients with head and neck cancer, which should be considered when treating patients and conducting QoL studies in the future. [ABSTRACT FROM AUTHOR]