Sleep health and quality of life in the Detroit Research on Cancer Survivors cohort.

PURPOSE: Sleep disturbances represent a modifiable target to improve quality of life and longer-term outcomes in cancer survivors. However, the association between sleep health and overall quality of life in African American cancer survivors has been poorly assessed, a population at increased risk for morbidity and mortality. METHODS: Seven hundred and eighteen Detroit Research on Cancer Survivors (ROCS) cohort participants completed a supplemental sleep survey at the time of enrollment, which included the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI). Linear and logistic regression was used to evaluate the association between sleep and mental health, while block regression models were used to estimate the contribution of clustered factors to Health-Related Quality of Life (HRQOL). RESULTS: Nearly 60% of the cohort reported symptoms indicative of poor sleep quality on the PSQI, 15% reported excessive daytime sleepiness on the ESS, and 12% reported moderate to severe insomnia on the ISI. Survivors with elevated ISI scores reported FACT-G scores that were 17 points lower than those without symptoms of insomnia (95% CI: - 13.1, - 21.2). Poor sleep health accounted for the largest proportion of variability in FACT-G scores (R2 = 0.27) and change in R2 value (0.18) when compared to comorbidities, health behaviors, cancer-related factors, and demographics. CONCLUSIONS: Overall sleep health was significantly associated with poorer HRQOL and variability in FACT-G scores. Additional studies investigating a causal relationship between sleep and HRQOL are needed to determine whether sleep quality could affect disparities in cancer outcomes. IMPLICATIONS FOR CANCER SURVIVORS: Addressing sleep quality in cancer survivors may improve long-term health and HRQOL.

The impact of preexisting comorbidities on receipt of cancer therapy among women with Stage I-III breast cancer in the Detroit Research on Cancer Survivors cohort.

PURPOSE: Pre-existing comorbidities play an important role in choice of cancer treatment. We retrospectively evaluated the relationship between pre-existing comorbidities and receipt of local and systemic therapy in a cohort of Black women with Stage I-III breast cancer. METHODS: The study population for analysis included 1169 women with Stage I-III disease enrolled in the Detroit Research on Cancer Survivors (ROCS) cohort. Information on comorbidities, socio-demographic, and clinical variables were obtained from self-reported questionnaires and the cancer registry. Comorbidities were analyzed individually, and comorbidity burden was categorized as low (0-1), moderate (2-3) or high (≥4). We used logistic regression analysis to evaluate factors associated with receipt of local treatment (surgery ± radiation; N = 1156), hormonal (N = 848), and chemotherapy (N = 680). Adjusted models included variables selected a priori that were significant predictors in univariate analysis. RESULTS: Receipt of treatment was categorized into local (82.6%), hormonal (73.7%), and/or chemotherapy (79.9%). Prior history of arthritis and depression were both associated with a lower likelihood to receive local treatment, [odds ratio (OR), 95% confidence interval (CI), 0.66, 0.47-0.93, and 0.53, 0.36-0.78], respectively. Obesity was associated with higher likelihood of receiving hormonal therapy (OR: 1.64, 95% CI: 1.19, 2.26), and heart failure a lower likelihood (OR: 0.46, 95% CI: 0.23, 0.90). Older age (Ptrend <0.01) and increasing co-morbidity burden (Ptrend = 0.02) were associated with lower likelihood of receiving chemotherapy. CONCLUSION: History of prior co-morbidities has a potentially detrimental influence on receipt of recommended cancer-directed treatment among women with Stage I-III breast cancer.

Use of electronic cigarettes among African American cancer survivors.

BACKGROUND: The use of electronic cigarettes (e-cigarettes) is increasing rapidly in the United States, although the negative health outcomes associated with these products are still unknown. Emerging research has examined the use of e-cigarettes in the cancer survivor population as a whole, yet none has focused on e-cigarette use in the African American (AA) cancer survivor population. METHODS: The authors used data from the Detroit Research on Cancer Survivors cohort study, comprised of AA adult cancer survivors. Logistic regression models were used to evaluate factors potentially associated with e-cigarette ever use and current use. RESULTS: Of 4443 cancer survivors who completed a baseline interview, 8.3% (n = 370) reported ever using e-cigarettes, and 16.5% (n = 61) of those reporting ever use also reported current use of e-cigarettes. Ever users and current users were on average younger than those who did not use e-cigarettes (57.5 vs. 61.2 years; p < .001). Current cigarette smokers were >20 times more likely (odds ratio, 20.75; 95% confidence interval, 12.84-33.55) and former smokers were almost 10 times more likely (odds ratio, 9.50; 95% confidence interval, 6.03-14.97) to have ever used e-cigarettes than never-smokers. Preliminary data suggested that ever use of e-cigarettes is associated with later stage at diagnosis for breast and colorectal cancers. CONCLUSIONS: As the use of e-cigarettes increases in the general population, it is important to continue to monitor their use in cancer survivors and to gain more insight as it pertains to the AA cancer survivor population. Elucidation of the factors associated with e-cigarette use in this population may help inform comprehensive cancer survivorship recommendations and interventions.

Evaluation of health behaviors and overall quality of life in younger adult African American cancer survivors.

BACKGROUND: Epidemiological studies of cancer survivors have predominantly focused on non-Hispanic White, elderly patients, despite the observation that African Americans have higher rates of mortality. Therefore, we characterized cancer survivorship in younger African American survivors using the Detroit Research on Cancer Survivors (ROCS) study to assess health behaviors and quality of life. METHODS: Five hundred and seventeen patients diagnosed with any cancer between the ages of 20-49 (mean age: 42 years; SD: 6.7 years) completed a survey to identify important clinical, behavioral, and sociodemographic characteristics, measures of health literacy, and experiences of discrimination. Quality of life outcomes were evaluated in patients using FACT-G, FACT-Cog, and PROMIS® Anxiety and Depression scales. Stepwise linear and logistic regression were used to assess the association between quality of life measures and participant characteristics. RESULTS: The mean FACT-G score was 74.1 (SD: 21.3), while the FACT-Cog was 55.1 (SD: 17.1) (FACT-G range 0-108 with higher scores indicating better function; elderly cancer patient mean: 82.2; FACT-Cog 18-item range 0-72 points with higher scores indicating better perceived cognitive functioning; scores <54 indicating cognitive impairment). In addition, 27.1% and 21.6% of patients had a score indicative of moderate or severe anxiety and depression, respectively. Perceived discrimination and the number of discriminatory events were significantly associated with reductions in three of the four quality of life measures. Health literacy was positively associated with all four health measures, while total comorbidity count was negatively associated with three of the four measures. CONCLUSION: Younger adult African American cancer survivors who report experiencing discrimination and suffer from multiple comorbid conditions have poorer mental and overall health. Understanding the unique clinical and socioeconomic stressors that influence this patient population is essential for reducing health disparities and improving long-term survivorship.

Caregiver costs and financial burden in caregivers of African American cancer survivors.

PURPOSE: People with cancer commonly rely on loved ones as informal caregivers during and after treatment. Costs related to caregiving and their association with caregiver financial burden are not well understood. METHODS: Results include data from 964 caregivers of African American cancer survivors in the Detroit Research on Cancer Survivors (ROCS) cohort. Caregiving costs include those related to medications, logistics (e.g., transportation), and medical bills. Financial burden measures included caregiver financial resources, strain, and difficulty paying caregiving costs. Prevalence ratios (PR) and 95% confidence intervals (CI) of associations between costs and high financial burden were calculated using modified Poisson models controlling for caregiver characteristics. RESULTS: Caregivers included spouses (36%), non-married partners (8%), family members (48%), and friends (9%). Nearly two-thirds (64%) of caregivers reported costs related to caregiving. Logistical costs were the most common (58%), followed by medication costs (35%) and medical bills (17%). High financial hardship was reported by 38% of caregivers. Prevalence of high financial hardship was 52% (95% CI: 24%, 86%) higher among caregivers who reported any versus no caregiver costs. Associations between caregiver costs and high financial burden were evident for costs related to medications (PR: 1.33, 95% CI: 1.12, 1.58), logistics (PR: 1.57, 95% CI: 1.29, 1.92), and medical bills (PR: 1.57, 95% CI: 1.28, 1.92). CONCLUSIONS: Most caregivers experienced costs related to caregiving, and these costs were associated with higher prevalence of high caregiver financial burden. IMPLICATIONS FOR CANCER SURVIVORS: Informal caregivers experience financial hardship related to cancer along with cancer survivors.

Financial Hardship and Quality of Life among African American and White Cancer Survivors: The Role of Limiting Care Due to Cost.

BACKGROUND: Financial hardship is common among cancer survivors and is associated with both limiting care due to cost and with poor health-related quality of life (HRQOL). This study estimates the association between limiting care due to cost and HRQOL in a diverse population of cancer survivors and tests whether limiting care mediates the association between financial hardship and HRQOL. METHODS: We used data from 988 participants (579 African American, 409 white) in the Detroit Research on Cancer Survivors (ROCS) pilot, a hospital-based cohort of breast, colorectal, lung, and prostate cancer survivors. We assessed associations between financial hardship, limiting care, and HRQOL [measured by the Functional Assessment of Cancer Therapy-General (FACT-G)] using linear regression and mediation analysis controlling for demographic, socioeconomic, and cancer-related variables. RESULTS: FACT-G scores were 4.2 [95% confidence interval (CI), 2.0-6.4] points lower among survivors who reported financial hardship compared with those who did not in adjusted models. Limiting care due to cost was associated with a -7.8 (95% CI, -5.1 to -10.5) point difference in FACT-G scores. Limiting care due to cost explained 40.5% (95% CI, 25.5%-92.7%) of the association between financial hardship and HRQOL overall, and 50.5% (95% CI, 29.1%-188.1%) of the association for African American survivors. CONCLUSIONS: Financial hardship and limiting care due to cost are both associated with lower HRQOL among diverse cancer survivors, and this association is partially explained by limiting care due to cost. IMPACT: Actions to ensure patients with cancer can access appropriate care could lessen the impact of financial hardship on HRQOL.