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Background: Large segments of the US population do not receive quality cancer care due to pervasive and systemic inequities, which can increase morbidity and mortality. Multicomponent, multilevel interventions can address inequities and improve care, but only if they reach communities with suboptimal access. Intervention studies often underenroll individuals from historically excluded groups. Methods: The Alliance to Advance Patient-Centered Cancer Care includes 6 grantees across the United States who implemented unique multicomponent, multilevel intervention programs with common goals of reducing disparities, increasing engagement, and improving the quality of care for targeted populations. The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework informed the evaluation efforts across sites. Each Alliance site identified their intended populations, which included underrepresented minorities (eg, Black and Latinx persons), individuals who prefer a language other than English, and rural residents. We evaluated the demographic characteristics of participants to determine program reach. Results: Between 2018 and 2020, a total of 2,390 of 5,309 potentially eligible participants were enrolled across the 6 sites. The proportion of enrolled individuals with selected characteristics included 38% (n=908) Black adults, 24% (n=574) Latinx adults, 19% (n=454) preferring a language other than English, and 30% (n=717) rural residents. The proportion of those enrolled who were the intended population was commensurate to the proportion with desired characteristics in those identified as potentially eligible. Conclusions: The grantees met or exceeded enrollments from their intended populations who have been underserved by quality cancer care into patient-centered intervention programs. Intentional application of recruitment/engagement strategies is needed to reach individuals from historically underserved communities.

Health-related quality of life (HRQoL) among patients with localized prostate cancer (PC) on active surveillance (AS) and whether it may be improved through lifestyle-focused interventions remain underdefined.To assess longitudinal changes in HRQoL in patients who received and those who did not receive a behavioral intervention that increased vegetable intake.A secondary analysis of participants in the Men's Eating and Living (MEAL) study (Cancer and Leukemia Group 70807 [Alliance]), a randomized trial of vegetable consumption in patients on AS, was conducted.Patient-reported outcomes (PROs) included the Memorial Anxiety Scale for Prostate Cancer (MAX-PC), the Expanded Prostate Cancer Index Composite 26 (EPIC-26), and the Functional Assessment of Cancer Therapy Scale-Prostate (FACT-P). Areas under the curves (AUCs) were used to summarize serial HRQoL.PROs were completed in 87% (n = 387) of the intention-to-collect population. Baseline characteristics of patients completing HRQoL measures did not differ significantly from the entire study population or between groups. Baseline scores were high for all PROs and remained stable over 24 mo, with no significant differences from baseline at any time point. In adjusted analyses, there were no significant differences in summary AUC measures comparing control with intervention for the total MAX-PC score (p = 0.173); EPIC-26 domains of urinary incontinence (p = 0.210), urinary obstruction (p = 0.062), bowel health (p = 0.607), sexual health (p = 0.398), and vitality (p = 0.363); and total FACT-P scores (p = 0.471).Among men with localized PC on AS enrolled in a randomized trial, HRQoL was high across multiple domains at baseline, remained high during follow-up, and did not change in response to a behavioral intervention that increased vegetable intake.Patients with localized prostate cancer enrolled on active surveillance experience minimal cancer-associated anxiety, suffer low levels of cancer-associated symptoms, and perceive high physical and emotional well-being.

Objectives A comprehensive examination of resilience by race, ethnicity, and neighborhood socioeconomic status (NSES) among women aged ≥80 is needed, given the aging of the U.S. population, increasing longevity, and growing racial and ethnic diversity. Methods Participants were women aged ≥80 enrolled in the Women’s Health Initiative. Resilience was assessed with a modified version of the Brief Resilience Scale. Descriptive statistics and multiple linear regression examined the association of demographic, health, and psychosocial variables with resilience by race, ethnicity, and NSES. Results Participants (n = 29,367, median age = 84.3) were White (91.4%), Black (3.7%), Hispanic (1.9%), and Asian (1.7%) women. There were no significant differences by race and ethnicity on mean resiliency scores (p = .06). Significant differences by NSES were observed regarding mean resiliency scores between those with low NSES (3.94 ± 0.83, out of 5) and high NSES (4.00 ± 0.81). Older age, higher education, higher self-rated health, lower stress, and living alone were significant positive correlates of resilience in the sample. Social support was correlated with resilience among White, Black, and Asian women, but not for Hispanic women. Depression was a significant correlate of lower resilience, except among Asian women. Living alone, smoking, and spirituality were significantly associated with higher resilience among women with moderate NSES. Discussion Multiple factors were associated with resilience among women aged ≥80 in the Women’s Health Initiative. Despite some differing correlates of resilience by race, ethnicity, and NSES, there were many similarities. These results may aid in the design of resilience interventions for the growing, increasingly diverse population of older women.

Older adults with Hematologic Malignancy (HM) are vulnerable to functional decline secondary to disease and treatment. Interventions for physical deconditioning, in concert with routine hematology care are limited. The feasibility of accrual, retention, and demand for an exercise intervention among a high-risk HM population was piloted.Older adults with HM, on active treatment, with functional impairment were recruited prospectively to participate in a 6-month Otago Exercise Programme (OEP). Measures of motivation, self-efficacy, patient identified barriers to exercise, barriers to clinical trial enrollment, study satisfaction, and serious adverse events were captured.63 patients were approached, 18 declined trial enrollment, 45 consented, 30 patients enrolled in the exercise program. The main barrier for trial enrollment was transportation/travel concerns (n = 15). Of the 45 consented participants, 8 (12.7%) dropped out due to clinical deterioration, 5 (7.9%) withdrew, and 2 (3.2%) were ineligible prior to exercise-intervention intiation. The median age was 75.5 years (range 62-83) with plasma cell dyscrasia (63%), non-Hodgkin lymphoma (20%) and leukemia (17%). Retention of the physical therapist (PT) led-OEP was 76.6% of patients (n = 23/30), and end-of-study retention was 66.7% (n = 20/30). Of the evaluable patients, 23/29 completed the PE-led OEP yielding a completion rate of 79%. Participants were extremely motivated (72.4%) and strongly intended (89.7%) to engage in regular physical activity. Exercising when tired increased from a median score of 50 at Visit 1 to 70 at Visit 2, but dropped significantly to 45 at Visit 3 (p 0.001). Participants reported significantly lower self-efficacy to exercise over the next 6 months from Visit 1 to Visit 3 (p = 0.001).Older patients with HM had higher completion of in-person, PT-led exercise compared to at-home, independent exercise. Older adults were motivated and found the program acceptable, yet the ability to sustain a structured exercise program was challenging due to changes in health status. ClinicalTrials.gov Identifier: NCT02791737.

Purpose Early palliative care (PC) with standard oncology care has demonstrated improved patient outcomes, but multiple care delivery models are utilized. This study prospectively evaluated the feasibility of an embedded PC clinic model and collected patient-reported outcomes (PROs) and caregiver needs. Methods In this observational study of embedded outpatient PC for patients with advanced thoracic malignancies treated at The Ohio State University Thoracic Oncology clinic, patients received same-day coordinated oncology and palliative care visits at one clinic location. PC encounters included comprehensive symptom assessment and management, advanced care planning, and goals of care discussion. Multiple study assessments were utilized. We describe the feasibility of evaluating PROs and caregiver needs in an embedded PC model. Results Forty patients and 28 caregivers were enrolled. PROs were collected at baseline and follow-up visits. Over a 12-month follow-up, 36 patients discontinued study participation due to hospice enrollment, death, study withdrawal, or COVID restrictions. At baseline, 32 patients (80%) rated distress as moderate-severe with clinically significant depression (44%) and anxiety (36%). Survey completion rates significantly decreased over time: 3 months (24 eligible, 66% completed), 6 months (17 eligible; 41% completed), 9 months (9 eligible; 44% completed), and 12 months (4 eligible; 50% completed). Conclusion We found that an embedded PC clinic was feasible, although there were challenges encountered in longitudinal collection of PROs due to high study attrition. Ongoing assessment and expansion of this embedded PC model will continue to identify strengths and challenges to improve patient and caregiver outcomes.

Purpose This study examined associations between self-reported cognitive functioning and social support as well as social ties among women with breast cancer. Methods The study included 3351 women from the Women’s Health Initiative Life and Longevity After Cancer cohort who were diagnosed with breast cancer stages I–III. Social support was assessed using a modified Medical Outcomes Study (MOS) Social Support Survey, and marital status was obtained from the baseline questionnaire. We also assessed social ties (e.g., number of friends, relatives, living children) and cognitive function (Functional Assessment of Cancer Therapy-Cognitive Function [FACT-COG]) on the year-1-follow up questionnaire. Multivariable quantile regression was used to estimate the changes in median cognitive scores. Kruskal–Wallis tests were used to assess the association of cognitive function with social ties. Results The majority of participants were non-Hispanic White (93.3%), presently married (49%), with at least a 4-year college degree (53.2%), and had been diagnosed with localized breast cancer (79%). A 10-point higher social support score correlated to a 0.32 higher (better) median cognitive score (p p = 0.01). Significant associations were also present for having close relatives (p p Conclusion Women reporting higher social support and greater numbers of friends or relatives have higher cognitive functioning. Compared to divorced or separated women, married women were likely to have higher cognitive functioning. These findings suggest that social support assessments have the potential to help identify women at higher risk of cognitive decline.

Objective: We aimed to investigate the associations between diet quality, general health, and comorbidities among older female cancer survivors. Methods: Participants ( n = 171) completed one-time surveys to assess health-related quality of life (RAND-36), diet quality (Healthy Eating Index (HEI-2015)), and number of comorbidities. Additional demographic and clinical variables were collected. Descriptive statistics, analysis of covariance, correlations, and linear regressions were utilized. Results: A positive correlation was found between HEI-2015 and general health subscale scores (r = .26, p = .002). A negative correlation was found between the number of comorbidities and general health (r = −.21, p = .02). Being white (β = −.24, p = .02) and having fewer comorbidities (β = −.22, p = .04) were significantly associated with higher general health. Being unmarried (β = .24, p = .02) and having higher education (β = .32, p = .002) were significantly associated with higher HEI-2015 scores. Discussion: Healthcare providers should seek guidance from registered dietitian nutritionists for nutritional education to promote optimal nutritional status, thus contributing to improved general health among this growing population.

We aimed to evaluate the relationship between cumulative endogenous estrogen exposure and fracture risk in 150,682 postmenopausal women (aged 50 to 79 years at baseline) who participated in the Women's Health Initiative. We hypothesized that characteristics indicating lower cumulative endogenous estrogen exposure would be associated with increased fracture risk. We determined ages at menarche and menopause as well as history of irregular menses from baseline questionnaires and calculated years of endogenous estrogen exposure from ages at menarche and menopause. Incident clinical fractures were self-reported over an average 16.7 years of follow-up. We used multivariable proportional hazards models to assess the associations between the estrogen-related variables and incidence of any clinical fracture. In fully adjusted models, those with the fewest years of endogenous estrogen exposure (30) had an 11% higher risk of developing central body fractures and a 9% higher risk of lower extremity fractures than women with 36 to 40 years of endogenous estrogen exposure (the reference category). In contrast, women with the most years of endogenous estrogen exposure (more than 45 years) had a 9% lower risk of lower extremity fractures than the reference category. Women with irregular (not monthly) menstrual cycles were 7% to 8% more likely to experience lower extremity fractures than women with regular monthly cycles. Our findings support the hypothesis that characteristics signifying lower cumulative endogenous estrogen exposure are associated with higher fracture risk. © 2022 American Society for Bone and Mineral Research (ASBMR).

Background Lymphedema affects many women who are treated for breast cancer. We examined the effectiveness of an education-only (EO) versus education plus sleeve compression/exercise intervention (lymphedema education and prevention [LEAP]) on lymphedema incidence and range of motion (ROM) in a group-randomized trial across 38 cooperative group sites. Methods The treating institution was randomly assigned to either EO or LEAP by a study statistician. All patients at a treating institution participated in the same intervention (EO or LEAP) to minimize contamination bias. Participants completed surveys, arm volume measurements, and self-reported ROM assessments before surgery and at 12 and 18 months after surgery. Lymphedema was defined as a ≥10% difference in limb volume at any time post-surgery up to 18 months after surgery or diagnosis by a health provider. Cochran-Mantel-Haenszel tests were used to compare lymphedema-free rates between groups, stratified by lymph node surgery type. Self-reported ROM differences were compared between groups. Results A total of 554 participants (56% LEAP) were included in the analyses. At 18 months, lymphedema-free rates were 58% (EO) versus 55% (LEAP) (P = .37). ROM for both arms was greater in LEAP versus EO at 12 months; by 18 months, most women reported full ROM, regardless of group. In LEAP, only one-third wore a sleeve ≥75% of the time; 50% performed lymphedema exercises at least weekly. Conclusion Lymphedema incidence did not differ by intervention group at 18 months. Poor adherence in the LEAP group may have contributed. However, physical therapy may speed recovery of ROM. Further research is needed to effectively reduce the incidence and severity of lymphedema in patients who have breast cancer.

Background The prevalence and correlates of job and insurance problems were examined among a cohort of young U.S. breast cancer survivors during the first 18-months following diagnosis. Methods Participants were 708 women diagnosed at ≤45 years with stage I-III breast cancer. 90% were non-Hispanic white, 76% were married/partnered and 67% had ≥4-year college degree. Univariable and multivariable logistic regression examined the associations between demographic, lifestyle and clinical factors with job and insurance problems. Results 18-months after diagnosis, 56% of participants worked full-time, 16% part-time, 18% were homemakers and/or students, 4.5% were unemployed, and 2.4% were disabled. The majority (86%) had private insurance. Job-related problems were reported by 40% of women, and included believing they could not change jobs for fear of losing health insurance (35.0%), being fired (2.3%), and being demoted, denied promotion or denied wage increases (7.8%). Greater job-related problems were associated with being overweight vs. under/normal weight (p = 0.006), income p = 0.01), and working full-time vs. part-time (p = 0.003). Insurance problems were reported by 27% of women, and included being denied health insurance (2.6%), health insurance increases (4.3%), being denied health benefit payments (14.8%) or denied life insurance (11.4%). Insurance problems were associated with being under/normal weight vs. obese (p = 0.01), not being on hormone therapy (p 5 cm vs. p = 0.01). Conclusions Young survivors experienced significant job- and insurance-related issues following diagnosis. To the extent possible, work and insurance concerns should be addressed prior to treatment to inform work expectations and avoid unnecessary insurance difficulties.

Background: Side effects of and adherence to aromatase inhibitors in women with ductal carcinoma in situ are not well described. Methods: Postmenopausal women in a prospective phase II study of neoadjuvant letrozole for estrogen receptor positive DCIS completed questionnaires on side effects [Menopause Specific Quality of Life Questionnaire (MENQOL), Brief Pain Inventory-short form (BPI-SF), Arthritis Impact Measurement Scales (AIMS2)], well-being (FACT-G), and adherence [Medication-Taking questionnaire] at baseline, 1, 3 and 6 months (mo), and study completion. We used descriptive statistics and paired t-tests to compare 1, 3 and 6 mo results to baseline. Hierarchical linear mixed modeling, controlling for baseline symptom or well-being level, was used to examine effect of symptoms and well-being on intentional and nonintentional nonadherence, based on the Medication-Taking Questionnaire. Results: Included were 84 women, mean age 63 (39-83) years. In univariate analyses, compared to baseline, menopausal symptoms increased [physical (p=0.001 at 3, p0.05). Lower emotional (p=0.049) and functional (p=0.002) well-being by FACT-G and higher joint pain (p=0.03) by AIMS2 were associated with higher nonintentional nonadherence; higher physical side effects of menopause (p=0.001) by MENQOL were associated with lower intentional nonadherence. Conclusions: Among women taking letrozole for DCIS, menopausal symptoms and joint pain/stiffness increased over time with most differences noted at 3 and 6 mo. Lower well-being and higher symptom levels were associated with higher nonintentional nonadherence. NCT01439711.U10CA180821, U10CA180882, UG1CA189823, Breast Cancer Research Foundation, https://acknowledgments.alliancefound.org. Citation Format: Gretchen Kimmick, Amylou C Dueck, Rebecca Shelby, Michelle Naughton, Abigail Caudle, Briant Fruth, E. Shelley Hwang. Musculoskeletal side effects over time and association with adherence in women taking neoadjuvant letrozole for estrogen receptor positive DCIS: CALGB 40903 (Alliance) [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P5-14-17.

To evaluate sleep and affective (mood/anxiety) disorders as clinical predictors of incident Parkinson's disease (PD) among women ≥65 years of age.We performed secondary analyses with available data from the Women's Health Initiative Clinical Trials and Observational Study linked to Medicare claims. Sleep, mood and anxiety disorders at baseline were defined using diagnostic codes. Incident PD was defined using self-reported PD, first PD diagnosis, use of PD medications, and/or deaths attributed to PD. Cox regression was applied to estimate hazard ratios (HR) with 95 % confidence intervals (CI), controlling for socio-demographic/lifestyle/health characteristics. Time-to-event was calculated from baseline (1993-1998) to year of PD event, loss to follow-up, death, or December 31, 2018, whichever came first.A total of 53,996 study-eligible WHI participants yielded 1756 (3.25 %) PD cases over ~14.39 (±6.18) years of follow-up. The relative risk for PD doubled among women with affective disorders (HR = 2.05, 95 % CI: 1.84, 2.27), mood disorders (HR = 2.18, 95 % CI: 1.97, 2.42) and anxiety disorders (HR = 1.97, 95 % CI: 1.75, 2.22). Sleep disorders alone (without affective) were not significantly associated with PD risk (HR = 0.85, 95 % CI: 0.69, 1.04), whereas affective disorders alone (without sleep) (HR = 1.93, 95 % CI: 1.72, 2.17) or in combination with sleep disorders (HR = 2.18, 95 % CI: 1.85, 2.56) were associated with twice the PD risk relative to no sleep/affective disorders.Observational design; Selection bias; Information bias; Generalizability.Among older women, joint sleep/affective disorders and affective disorders alone are strong clinical predictors of incident PD over 14 years.

Six multidisciplinary cancer centers were selected and funded by the Merck Foundation (2017-2021) to collaborate in the Alliance to Advance Patient-Centered Cancer Care ("Alliance"), an initiative to improve patient access, minimize health disparities, and enhance the quality of patient-centered cancer care. These sites share their insights on implementation and expansion of their patient navigation efforts.Patient navigation represents an evidence-based health care intervention designed to enhance patient-centered care and care coordination. Investigators at 6 National Cancer Institute-designated cancer centers outline their approaches to reducing health care disparities and synthesize their efforts to ensure sustainability and successful transferability in the management of patients with cancer and their families in real-world health care settings.Insights are outlined within the context of patient navigation program effectiveness and supported by examples from Alliance cancer center sites: 1) understand the patient populations, particularly underserved and high-risk patients; 2) capitalize on the existing infrastructure and institutional commitment to support and sustain patient navigation; and 3) build capacity by mobilizing community support outside of the cancer center.This process-level article reflects the importance of collaboration and the usefulness of partnering with other cancer centers to share interdisciplinary insights while undergoing intervention development, implementation, and expansion. These collective insights may be useful to staff at other cancer centers that look to implement, enhance, or evaluate the effectiveness of their patient navigation interventions.

Due to cancer survivors living longer and morbidity associated with cancer treatments, it is necessary to understand symptoms experienced by cancer survivors. This study will analyze the symptom burden among a large cohort of survivors across multiple cancer sites.Data from the Women's Health Initiative (WHI) Life and Longevity After Cancer (LILAC) study were used to examine the symptom burden of older cancer survivors. Poisson regression with robust standard errors was utilized to determine differences in symptoms by cancer site, treatment, and other covariates.The most frequently reported symptoms among cancer survivors were fatigue (15.8%) and feeling sad or depressed (14.1%). Multivariable analyses indicated that more symptoms were reported among survivors who were younger (p = 0.002), divorced or separated (p = 0.03), and had a combination of public and private insurance (p = 0.01). Survivors who received chemotherapy (p 0.001), radiation (p = 0.01), or hormone therapy (p = 0.02) reported more symptoms than survivors who did not receive these treatments. Survivors diagnosed with cancer 5 years ago reported fewer symptoms than longer-term survivors, particularly those diagnosed 10 years ago (p = 0.02).Results indicate that common physical and psychological symptoms are reported across cancer types. Cancer survivors diagnosed with cancer 10 or more years ago reported more symptoms than those recently diagnosed. This suggests that symptoms may remain a problem for some survivors decades after their diagnosis.Future research should focus on implementing active surveillance of cancer survivors. Healthcare providers and those who care for cancer survivors should understand that the symptom burden associated with cancer may persist even decades following diagnosis.

Many prospective biomedical studies collect longitudinal clinical and lifestyle data that are both continuous and discrete. In some studies, there is interest in the association between a binary outcome and the values of these longitudinal measurements at a specific time point. A common problem in these studies is inconsistency in timing of measurements and missing follow-ups which can lead to few measurements at the time of interest. Some methods have been developed to address this problem, but are only applicable to continuous measurements. To address this limitation, we propose a new class of joint models for a binary outcome and longitudinal explanatory variables of mixed types. The longitudinal model uses a latent normal random variable construction with regression splines to model time-dependent trends in mean with a Dirichlet Process prior assigned to random effects to relax distribution assumptions. We also standardize timing of the explanatory variables by relating the binary outcome to imputed longitudinal values at a set time point. The proposed model is evaluated through simulation studies and applied to data from a cancer survivor study of participants in the Women's Health Initiative.

Purpose: Short and long sleep duration and poor sleep quality are risk factors for weight gain and cancer mortality. The purpose of this study is to investigate the relationship between sleep and weight change among postmenopausal breast cancer survivors. Methods: Women participating in the Women’s Health Initiative who were diagnosed with incident breast cancer between year 1 and year 3 were included. Self-reported sleep duration was categorized as ≤5 hours (short), 6 hours, 7-8 hours (optimal), and ≥9 hours (long). Self-reported sleep quality was categorized as poor, average, and above average. Post-diagnosis weight change was the difference of weight closest to, but preceding diagnosis, and year 3 weight. We used linear regression to evaluate sleep duration and sleep quality associations with post-diagnosis weight change adjusted for potential confounders. Results: Among 1,156 participants, 63% were weight stable after diagnosis; average weight gain post cancer diagnosis was 3.2 kg. Six percent of women reported sleeping ≤5 hours, 26% reported 6 hours, 64% reported 7-8 hours, and 4% reported ≥9 hours. There were no differences in adjusted estimates of weight change among participants with short duration (0.37kg; 95%CI -0.88, 1.63), or long duration (-0.56kg; 95% CI -2.03, 0.90) compared to optimal duration, nor was there a difference among poor quality (-0.51kg; 95% CI -1.42, 0.41) compared to above average quality. Conclusion: Among postmenopausal breast cancer survivors, sleep duration and quality were not associated with weight change after breast cancer diagnosis. Future studies should consider capturing change in adiposity and to expand beyond self-reported sleep.

A diagnosis of leukemia can have a profound effect on patients' health-related quality of life (HRQoL), however this has not been measured prospectively in patients with hairy cell leukemia (HCL). At the request of patients living with HCL who had identified this gap in knowledge about the disease, we conducted a longitudinal study of HRQoL among patients enrolled in the HCL Patient Data Registry (PDR). From September 1, 2018 to September 1, 2020, 165 patients were enrolled in the study and completed the baseline survey. The Functional Assessment of Cancer Therapy - Leukemia (FACT-Leu) was used to measure patients' HRQoL. Results show that newly diagnosed HCL patients reported the lowest HRQoL, followed by patients in relapse and those on "watch and wait." Factors associated with higher (better) FACT-Leu total scores in the multivariable analysis included older age, higher social support, and greater physical activity. These same factors were associated with lower levels of fatigue. In rare diseases where it is difficult to perform large prospective studies, patient/researcher collaborations are critical for the identification of studies that are of importance to patients and their families in order to maximize the benefits of the research and improve the lives of patients living with HCL.

Few studies examine the network structure and function of older women's health discussion networks. We sought to assess the feasibility and acceptability of collecting social network data via telephone from 72 women from the Women's Health Initiative study and to describe structural and functional characteristics. Women were socially connected and had dense networks. Women were emotionally close to network members, but their networks were not used to facilitate communication with health-care providers. One-third of network members was not influential on health-related decision-making. Collecting social network data via telephone is feasible and an acceptable, though un-preferred, mode of data collection.

Author(s): Danhauer, SC; Brenes, GA; Levine, BJ; Young, L; Tindle, HA; Addington, EL; Wallace, RB; Naughton, MJ; Garcia, L; Safford, M; Kim, MM; LeBlanc, ES; Snively, BM; Snetselaar, LG; Shumaker, S | Abstract: AIMS:To examine (1) the prevalence of depressive symptoms in women with Type 2 diabetes, (2) the associations between depressive symptoms and the following dependent variables: sleep disturbance; physical activity; physical health-related; and global quality of life, and (3) the potential moderating effects of antidepressants and optimism on the relationship between depressive symptoms and dependent variables. METHODS:Participants in the Women's Health Initiative who had Type 2 diabetes and data on depressive symptoms (N=8895) were included in the analyses. In multivariable linear regression models controlling for sociodemographic, medical and psychosocial covariates, we examined the main effect of depressive symptoms, as well as the interactions between depressive symptoms and antidepressant use, and between depressive symptoms and optimism, on sleep disturbance, physical activity, physical health-related quality of life; and global quality of life. RESULTS:In all, 16% of women with Type 2 diabetes reported elevated depressive symptoms. In multivariable analyses, women with depressive symptoms had greater sleep disturbance (Pl0.0001) and lower global quality of life (Pl.0001). We found evidence of significant statistical interaction in the models for quality-of-life outcomes: the increased risk of poor physical health-related quality of life associated with antidepressant use was stronger in women without vs with depressive symptoms, and the association between greater optimism and higher global quality of life was stronger in women with vs without depressive symptoms. CONCLUSIONS:To improve health behaviours and quality of life in women with Type 2 diabetes, sociodemographic and medical characteristics may identify at-risk populations, while psychosocial factors including depression and optimism may be important targets for non-pharmacological intervention.

Background: Integration of early outpatient palliative care for patients with advanced cancer requires overcoming logistical constraints as well as attitudinal barriers of referring providers. This pilot study assessed provider perception of logistical and attitudinal barriers to outpatient palliative care referral as well as provider acceptability of an embedded onco-palliative clinic model. Methods: This was a cross-sectional survey-based study of medical oncologists, palliative care physicians, advanced practice providers (APP), and oncology nurses at a large U.S. academic center. Participants were invited to participate through anonymous online survey. Participants rank ordered logistical barriers influencing referral to an outpatient palliative clinic. Respondents indicated level of agreement with attitudinal perception of palliative care and acceptability of an embedded palliative clinic model through five-item Likert-like scales. Results: There were a total of 54 study participants (28 oncology physicians/APPs, 15 palliative physicians/APPs, and 11 oncology nurses). Across the three cohorts, most survey respondents ranked "time burden to patients" as the primary logistical barrier to outpatient palliative care referral. Both oncology and palliative providers indicated comfort with primary palliative care skills although palliative providers were more comfortable with symptom management compared with oncology providers (93.3% vs. 32.2%). A majority of participants (94.9%) were willing to refer to a palliative care provider embedded within an oncology clinic. Conclusion: Additional health care time cost to patients is a major barrier to outpatient palliative care referral. Embedding a palliative care provider in an oncology clinic may be an acceptable model to increase patient access to outpatient palliative care while supporting the oncology team.

Purpose To evaluate the feasibility of implementing systematic patient symptom monitoring during treatment using a smartphone. Methods Endometrial [n = 50], ovarian [n = 70] and breast [n = 193] cancer patients participated in text-based symptom reporting for up to 12 months. In order to promote equity, patients without a smartphone were provided with a device, with the phone charges paid by program funds. Each month, patients completed the Patient Health Questionnaire (PHQ-9), and 4 single items assessing fatigue, sleep quality, pain, and global quality of life during the past 7 days rated on a 0 (low) –10 (high) scale. Patients’ responses were captured using REDCap, with oncologists receiving monthly feedback. Lay navigators provided assistance to patients with non-medical needs. Results Patients utilizing this voluntary program had an overall mean age of 60.5 (range 26–87), and 85% were non-Hispanic white. iPhones were provided to 42 patients, and navigation services were used by 69 patients. Average adherence with monthly surveys ranged between 75–77%, with breast patients having lower adherence after 5 months. The most commonly reported symptoms across cancer types were moderate levels (scores of 4–7) of fatigue and sleep disturbance. At 6 months, 71–77% of all patients believed the surveys were useful to them and their health care team. Conclusions We established the feasibility of initiating and managing patients in a monthly text-based symptom-monitoring program. The provision of smartphones and patient navigation were unique and vital components of this program.

Background: Gauging fitness remains a challenge among older adults with hematologic malignancies, and interventions to restore function are lacking. We pilot a structured exercise intervention and novel biologic correlates of aging using epigenetic clocks and markers of immunosenescence to evaluate changes in function and clinical outcomes. Methods: Older adults (n=30) with hematologic malignancy actively receiving treatment were screened and enrolled in a 6-month exercise intervention, the Otago Exercise Programme (OEP). The impact of the OEP on geriatric assessment metrics and health-related quality of life were captured. Clinical outcomes of overall survival and hospital utilization (inpatient length of stay and emergency department use) in relationship to geriatric deficits were analyzed. Results: Older adults (median age, 75.5 years [range, 62–83 years]) actively receiving treatment were enrolled in the OEP. Instrumental activities of daily living and physical health scores (PHS) increased significantly with the OEP intervention (median PHS: visit 1, 55 [range, 0–100]; visit 2, 70 [range, 30–100]; PP=.05). Quality of life (Patient-Reported Outcome Measurement Information System [PROMIS]) improved significantly by the end of the 6-month period (median [range]: visit 1, 32.4 [19.9–47.7]; visit 3, 36.2 [19.9–47.7]; P=.01]. Enhanced measures of gait speed and balance, using the Short Physical Performance Battery scores, were associated with a 20% decrease in risk of death (hazard ratio, 0.80; 95% CI, 0.65–0.97; P=.03) and a shorter hospital length of stay (decrease of 1.29 days; 95% CI, −2.46 to −0.13; P=.03). Peripheral blood immunosenescent markers were analyzed in relationship to clinical frailty and reports of mPhenoAge epigenetic analysis are preliminarily reported. Chronologic age had no relationship to overall survival, length of stay, or emergency department utilization. Conclusions: The OEP was effective in improving quality of life, and geriatric tools predicted survival and hospital utilization among older adults with hematologic malignancies.

Background Increasing attention is being paid to financial burdens of cancer survivorship, but little is known about the prevalence and predictors of these burdens in older, long‐term survivors. Methods We used data from 6012 participants diagnosed with cancer since enrolling in the Women's Health Initiative, and who participated in the Life and Longevity After Cancer (LILAC) ancillary study to estimate prevalence and identify predictors of financial burden. We used logistic regression to identify sociodemographic, socioeconomic, health‐ and cancer‐related factors associated with financial burden and backward selection to build a final multivariable model. Results Average age at LILAC participation was 79 and 9.2 years had elapsed since cancer diagnosis. Overall, 6% experienced some form of financial burden, including having an insurance company refuse a claim (2.6%), being denied loans or insurance due to cancer history (2.2%), or experiencing significant indebtedness (1.8%, including facing large debts or bills or declaring bankruptcy). Eight predictors remained associated (P

Breast cancer survivors frequently report sleep problems, but little research has studied sleep patterns longitudinally. We examined trends in sleep quality and duration up to 15 years before and 20 years after a diagnosis of breast cancer, over time among postmenopausal women participating in the Women’s Health Initiative (WHI). We included 12,098 participants who developed invasive breast cancer after study enrollment. A linear mixed-effects model was used to determine whether the time trend in sleep quality, as measured by the WHI Insomnia Rating Scale (WHIIRS), a measure of perceived insomnia symptoms from the past 4 weeks, changed following a cancer diagnosis. To examine sleep duration, we fit a logistic regression model with random effects for both short (, Epidemiology: Long-term sleep patterns unaffected by breast cancer diagnosis Despite frequent reports of poor sleep among survivors of breast cancer, a large epidemiological study has found no evidence that diagnosis of invasive breast cancer long-term sleep problems. Chloe Beverly of The Ohio State University in Columbus, USA, and colleagues examined long-term patterns in sleep quality, sleep duration and symptoms of depression among more than 12,000 participants of the Women’s Health Initiative who were diagnosed with breast cancer. On the whole, they found that women developed insomnia at a slightly slower rate after their diagnosis and the prevalence of depression went down, with little change in sleep duration. Although some women may experience cancer-related sleep disturbances shortly after their diagnosis and treatment, the findings suggest that, over the long term, most sleep issues remain consistent compared to before diagnosis.

OBJECTIVE: To examine the prevalence of and factors associated with fear of recurrence (FCR) following treatment for breast, ovarian, endometrial, and colorectal cancer among older women. METHODS: Participants were enrolled in the Women’s Health Initiative Life and Longevity After Cancer study. Descriptive statistics and multivariate logistic regression models were used to assess the association of demographic, clinical, and quality of life variables with survivors’ FCR, dichotomized as

Mara Z Vitolins,1 L Douglas Case,1 Stephen R Rapp,2 Mark O Lively,3 Edward G Shaw,4 Michelle J Naughton,5 Jeffrey Giguere,6 Glenn J Lesser7 1Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA; 2Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA; 3Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA; 4Department of Internal Medicine-Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA; 5Department of Internal Medicine, The Ohio State University, Columbus, OH, USA; 6Greenville Community Oncology Research Program of the Carolinas, Greenville, SC, USA; 7Department of Internal Medicine-Hematology and Oncology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA Purpose: Women with breast cancer were randomized to receive coenzyme Q10 (CoQ10) plus Vitamin E or placebo in a clinical trial. The objective of this evaluation is to examine the association between participant self-reported adherence to the study supplements and changes in plasma biomarker levels.Patients and methods: Correlation coefficients quantified the association between changes in alpha-tocopherol and CoQ10 levels and the association between self-reported adherence and changes in biomarkers. Participants were categorized by self-reported adherence; Kruskal–Wallis tests compared changes in alpha-tocopherol and CoQ10 levels between self-reported adherence groups.Results: Women (N=155) provided baseline and post-treatment biomarkers; 147 completed at least one diary. While changes in alpha-tocopherol and CoQ10 levels were moderately correlated, correlations ranged from 0.40 to 0.48, association between self-reported adherence and plasma alpha-tocopherol or CoQ10 levels was weak; correlations ranged from 0.10 to 0.29 at weeks 8, 16, and 24. Some participants with high self-reported adherence actually had decreases in their biomarker levels.Conclusion: These findings support that self-reported adherence is likely to be overestimated. Biological and other measures of adherence that can better identify true adherence to study pills provided in clinical trials are greatly needed as they may assist in improving the interpretation of findings of future clinical trials. Keywords: adherence, self-report, blood biomarkers, clinical trial, CoQ10, alpha-tocopherol

BACKGROUND: Sleep is a crucial factor for optimal health, but breast cancer survivors often report poor sleep quality. It is estimated 20-70% of survivors have at least one sleep problem, which contribute to quality of life and health differences among survivors. Minority groups tend to have poorer sleep quality and shorter sleep duration than Non-Hispanic Whites (NHW). African-Americans (AA) with breast cancer have a poorer prognosis than NHW for each stage-specific diagnosis and are twice as likely as NHW to report short sleep duration, yet survivor studies are still lacking in AA participants. The purpose of this study was to examine sleep quality and duration patterns before and after cancer diagnosis by race/ethnicity among WHI breast cancer survivors. METHODS: There were 12,098 postmenopausal women diagnosed with invasive breast cancer after WHI enrollment who were eligible for this secondary analysis. Baseline demographic and clinical characteristics were described. The WHI Insomnia Rating Scale (WHIIRS) was measured at multiple time points pre- and post-diagnosis. A higher WHIIRS scores (0-20 points) indicates greater sleep disturbance and ≥9 points identifies clinical insomnia. A linear mixed model was fit to the WHIIRS sleep quality data to examine if the trend in sleep quality with time changed following a cancer diagnosis. For short ( RESULTS: The majority of participants were NHW (87.4%), mean age at diagnosis was 70.3 years, and 75% had localized breast cancer at diagnosis. At baseline, 30% of women had insomnia. The lowest average WHIIRS score was 5.6 among Asians, and the highest was 6.6 among American-Indians and NHWs (p=0.02). AAs had the most women sleeping ≤5 hrs/night and NHW had the least (19.6% vs 5.7%, p DISCUSSION: Sleep is an appealing area to target for improvement due to the multiple ways it can be treated. With increasing survival rates, there is an emphasis on improving quality of life in survivors. Our results span 20 years pre-diagnosis to 15 years post-diagnosis and are similar to shorter follow-up studies which found most women's sleep problems resolve within a few years of treatment completion. The lack of difference by race was an unexpected finding in another similar longitudinal study, which suggested most differences are seen in cross-sectional sleep studies. This study adds to the literature on longitudinal sleep data, especially to the little data on sleep trajectories in minority breast cancer survivors. Citation Format: Beverly CM, Naughton M, Foraker R, Pennell M, Young G, Hale L, Crane T, Pan K, Danhauer S, Feliciano E, Paskett E. Racial/ethnic differences in sleep quality and duration among breast cancer survivors: Results from the women's health initiative (WHI) [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P6-12-02.

Background The majority of women diagnosed with endometrial cancer (EC) have low cancer-specific mortality; however, a high prevalence of cardiovascular disease (CVD) risk factors places EC patients at high risk of developing CVD. In the Women’s Health Initiative (WHI), we assessed the hypothesis that CVD risk was higher among women who developed EC compared with women who did not develop EC. Methods We compared the incidence of fatal and non-fatal CVD events among 1,179 women who developed Type I EC, 211 women who developed Type II EC, and 92,217 women who did not develop EC. We first estimated univariable cause-specific hazard ratios (CHRs) and 95% confidence intervals (CIs) for the association between an EC diagnosis (overall and by EC type) with CVD risk using Cox proportional hazards regression. Potential confounders were examined using a risk factor modeling approach; final multivariable-adjusted models included covariates that changed univariable CHRs for EC diagnosis by ≥ 5%. Results In multivariable-adjusted models, CVD risk did not significantly differ between women who developed EC compared to women who did not develop EC (CHR = 1.01, 95% CI = 0.87–1.16), particularly for the subgroup of women who developed Type I EC (CHR = 0.98, 95% CI = 0.84–1.14); however, there was a positive but statistically nonsignificant association for Type II EC (CHR = 1.32, 95% CI = 0.88–1.97). Conclusion Despite our null findings, women with EC should still receive counseling and support to make lifestyle changes aimed at reducing weight as appropriate, given the high prevalence of CVD risk factors at diagnosis.

Background: Older adults with hematologic malignancy (HM) are a growing demographic and providing effective treatments that balance toxicity and health related quality-of-life (HRQL) is imperative. The well-studied and utilized chemotherapy toxicity tool, the Cancer and Aging Research Group (CARG) chemotherapy toxicity score, has not been validated in hematologic malignancies. Methods: The primary objective of this study was to validate the predictive ability of the CARG score for grade 3-5 toxicity in newly diagnosed (ND) patients >60 years with HM. This was a prospective longitudinal study with 4 study visits: baseline (pre-therapy), visit 2 (Day 90), visit 3 (Day 180), and end-of-study (EOS) which occurred at the earliest of the following events: progression, transplant, or 1-year from baseline. The CARG score was evaluated at baseline. HRQL (PROMIS-GHS) and physical function measured by short physical performance battery (SPPB) were assessed longitudinally at all visits. Treatment toxicity using the NCI CTCAE (version 5.0) were captured monthly, and the worst grade of each type of chemo-related adverse event (AE) was recorded and summarized for each patient. Wilcoxon signed-rank test was used to test if variables changed significantly across visits. Fine and Gray model was used to associate comprehensive geriatric metrics and CARG score with the development of grade 3-5 chemotherapy-related toxicity with death as the competing risk, and Cox model was used to analyze overall survival (OS). Results: Ninety-seven patients with hematologic malignancy (myeloid n=34, lymphoma n=35, plasma cell n=28) were enrolled. The median age was 70 years (range 60-88) with a median 159 days on study (range 1-435). Baseline evaluations: ECOG PS was 0-1 in 69 (85%), median IADL score was 13 (range 5-14), median MOS physical health score was 44.4 (range 0-100), median self-reported KPS was 80% (50-100%), and median comorbidity score was 6 (range 2-12). PROMIS median scores improved from baseline (32, range: 12-49) to EOS (35, range: 16-47, p=0.05). Median SPPB scores improved significantly from baseline (5, range 0-12) to EOS (9, range 0-12, p=0.005). During the study period, 75 patients had 334 grade 1-2 AEs, and 42 patients had 82 grade 3-5 AEs. Hematologic toxicities were more common with 36 (37%) patients having anemia (30 grade 1-2, and 6 grade 3-5) and 11 (11%) patients having febrile neutropenia (all grade 3-5). In multivariable analysis, significant risk factors associated with grade 3-5 toxicity (p Conclusions: The CARG chemotoxicity score was not predictive of grade 3-5 toxicities in patients ND with HM, but was univariably associated with OS. Higher SPPB scores were strongly associated with OS. Future studies, evaluating modifications of the CARG score are indicated for patients with HM. Objective measures of function, such as the SPPB, may be a reliable method to stratify treatment intensities for older adults with HM. Disclosures Mims: Glycomemetics: Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Aptevo: Research Funding; Leukemia and Lymphoma Society's Beat AML clinical study: Consultancy, Research Funding; Xencor: Research Funding; Kartos Pharmaceuticals: Research Funding; Genentech: Consultancy; Abbvie: Consultancy; BMS: Consultancy; Kura Oncology: Consultancy; Syndax Pharmaceuticals: Consultancy; BMS: Consultancy; Jazz Pharmaceuticals: Consultancy; Aptevo: Research Funding. Woyach: AbbVie Inc, Loxo Oncology Inc, a wholly owned subsidiary of Eli Lilly & Company: Research Funding; AbbVie Inc, ArQule Inc, AstraZeneca Pharmaceuticals LP, Janssen Biotech Inc, Pharmacyclics LLC, an AbbVie Company,: Consultancy; Gilead Sciences Inc: Other: Data & Safety; AbbVie Inc, ArQule Inc, Janssen Biotech Inc, AstraZeneca, Beigene: Other: Advisory Committee.

Sleep disturbance and sexual dysfunction are common in menopause; however, the nature of their association is unclear. The present study aimed to determine whether sleep characteristics were associated with sexual activity and sexual satisfaction.Sexual function in the last year and sleep characteristics (past 4 wk) were assessed by self-report at baseline for 93,668 women age 50 to 79 years enrolled in the Women's Health Initiative (WHI) Observational Study (OS). Insomnia was measured using the validated WHI Insomnia Rating Scale. Sleep-disordered breathing (SDB) risk was assessed using questions adapted from the Berlin Questionnaire. Using multivariate logistic regression, we examined cross-sectional associations between sleep measures and two indicators of sexual function: partnered sexual activity and sexual satisfaction within the last year.Fifty-six percent overall reported being somewhat or very satisfied with their current sexual activity, and 52% reported partnered sexual activity within the last year. Insomnia prevalence was 31%. After multivariable adjustment, higher insomnia scores were associated with lower odds of sexual satisfaction (yes/no) (odds ratio [OR] 0.92, 95% CI, 0.87-0.96). Short sleep duration (7-8 h) was associated with lower odds of partnered sexual activity (yes/no) (≤5 h, OR 0.88, 95% CI, 0.80-0.96) and less sexual satisfaction (≤5 h, OR 0.88, 95% CI, 0.81-0.95).Shorter sleep durations and higher insomnia scores were associated with decreased sexual function, even after adjustment for potential confounders, suggesting the importance of sufficient, high-quality sleep for sexual function. Longitudinal investigation of sleep and its impact on sexual function postmenopause will clarify this relationship.

Chemotherapy-induced peripheral neuropathy (CIPN) is a dose-limiting toxicity of several commonly used chemotherapy drugs including taxanes, vinca alkaloids, and platinum compounds. Development of CIPN is highly variable, both in self-reported symptoms and functional consequences, and can be severe enough to alter dose intensity. To describe the natural histories of both patient-reported symptoms of CIPN and functional impairments in breast cancer patients undergoing taxane-based chemotherapy. Thirty-three breast cancer patients (32 female/1 male; 47.8 ± 11.2 years; n = 17 stage II/n = 16 stage III) were enrolled. Patients completed self-reports of symptoms and function (e.g., EORTC QLQ-CIPN20) and objective measures of physical function (i.e., balance and gait testing) in an outpatient oncology clinic at five timepoints: (1) baseline—prior to starting chemotherapy, (2–4) before starting subsequent chemotherapy cycles, and (5) 1–3 months after receiving their last taxane infusion. Significant negative changes in both patient-reported outcomes and objective functional measures were observed. Decreased balance was observed after the first chemotherapy cycle (28% increase in medial–lateral excursion of the center of pressure, p = 0.016) and progressed with cumulative exposure (43% increase, p

Lymphedema is an adverse effect of breast cancer treatment that causes swelling and pain in the arm and hand. We tested 2 lymphedema prevention interventions and their impact on health-related quality of life (HRQOL) in a group-randomized trial at 38 cooperative group sites within the United States.Patients were recruited before breast surgery. Sites were randomly assigned to education-only (EO) lymphedema prevention or education plus exercise and physical therapy (LEAP). Lymphedema was defined as a ≥10% difference in arm volume at any time from baseline to 18 months postsurgery. HRQOL was assessed using the Functional Assessment of Cancer Therapy-Breast plus 4 lymphedema items (FACT-B+4). Longitudinal mixed model regression analysis, adjusting for key demographic and clinical variables, examined participants' HRQOL by intervention group and lymphedema status.A total of 547 patients (56% LEAP) were enrolled and completed HRQOL assessments. The results revealed no differences between the interventions in preventing lymphedema (P = .37) or HRQOL (FACT-B+4 total score; P = .8777). At 18 months, the presence of lymphedema was associated with HRQOL at borderline significance (P = .0825). However, African American patients reported greater lymphedema symptoms (P = .0002) and better emotional functioning (P = .0335) than patients of other races or ethnicities. Lower HRQOL during the intervention was associated with younger age (P ≤ .0001), Eastern Cooperative Oncology Group performance status0 (P = .0002), ≥1 positive lymph nodes (P = .0009), having no education beyond high school (P.0001), having undergone chemotherapy (P = .0242), and having had only axillary node dissection or sentinel node biopsy versus both (P = .0007).The tested interventions did not differ in preventing lymphedema or in HRQOL outcomes. African American women reported greater HRQOL impacts due to lymphedema symptoms than women of other races or ethnicities.

OBJECTIVE: To examine associations of parental ages at childbirth with healthy survival to age 90 years among older women. STUDY DESIGN: This study included a racially and ethnically diverse sub-cohort of 8,983 postmenopausal women from the larger Women’s Health Initiative population, recruited during 1993–1998 and followed for up to 25 years through 2018. MAIN OUTCOME MEASURES: The outcome was categorized as: 1) healthy survival, defined as survival to age 90 without major morbidities (coronary heart disease, stroke, diabetes, cancer, or hip fracture) or mobility disability; 2) usual survival, defined as survival to age 90 without healthy aging (reference category); or 3) death before age 90. Women reported their own and their parents’ birth years, and parental ages at childbirth were calculated and categorized as

The Women's Health Initiative (WHI), a longitudinal study of more than 161,000 postmenopausal women across the United States, provides an opportunity to investigate the link between sleep health and healthy aging. The purpose of this paper was to systematically review all published WHI articles examining sleep as a predictor of health outcomes and health behaviors/quality of life outcomes. A strength of the WHI is that for most participants, sleep measures were completed before a major health diagnosis, with a significant portion of participants also providing sleep measures after diagnosis. Twenty-three WHI articles were identified and examined for this review. The combination of sleep duration and insomnia symptoms was the most commonly investigated sleep measure. The results indicated that both short (≤6 hours) and long (≥9 hours) sleep duration were associated with a higher risk of cardiovascular disease, colorectal cancer, mortality, cognitive decline, and poor diet. Insomnia symptoms, frequent snoring, and risk of sleep-disordered breathing (SDB) were also associated with increased risk for ischemic stroke and cardiovascular disease. However, many significant results were attenuated after multivariable adjustment. Limitations of these WHI examinations include the use of different categories for sleep measures across studies and a lack of examination by race/ethnicity. Owing to the longitudinal study design, large sample size, and long-term follow-up for health outcomes, the WHI serves as a rich resource for examining associations between sleep characteristics, demographics, and health in postmenopausal women.

Background The number of older adults living to age 80 and older is increasing rapidly, particularly among women. Correlates of quality of life (QOL) in very advanced ages are not known. We examined the association of demographic, social-psychological, lifestyle, and physical health variables with global QOL in a Women's Health Initiative (WHI) cohort of women aged 80 and older. Methods 26,299 WHI participants, who had completed a recent psychosocial and medical update, were included in these analyses. Global QOL was assessed by a single item, asking the women to rate their overall QOL on a scale from 0 to 10. Characteristics of the women were examined by the level of their transformed global QOL scores (≤50, 50-70, ≥70), and multiple regression was used to examine which demographic, social-psychological, lifestyle and health variables were independently associated with higher global QOL. Results Social-psychological and current health variables were more strongly associated with global QOL than a history of selected comorbid conditions. In particular, higher self-rated health and fewer depressive symptoms were the most strongly associated with better global QOL in WHI women ≥80 years. Conclusions Interventions to reduce depressive symptoms and improve health may lead to better self-reported health and global QOL among older women. Physical and mental health screenings followed by evidence-based interventions are imperative in geriatric care.

Background Females 80 years and older comprise 22% of the total U.S. survivor population, yet the impact of cancer on the physical well-being of women is this age group has not been well characterized. Methods We compared women, 80 years of age and older in the Women's Health Initiative extension 2, who did (n = 2,270) and did not (n = 20,272) have an adjudicated history of cancer during Women's Health Initiative enrollment; analyses focused on women >2-years postcancer diagnosis. The physical functioning subscale of the RAND-36 was the primary outcome. Demographic, health-status, and psychosocial covariates were drawn from Women's Health Initiative assessments. Analysis of covariance was used to examine the effect of cancer history on physical function, with and without adjustment for covariates. Results In adjusted models, women with a history of cancer reported significantly lower mean physical functioning (56.6, standard error [SE] 0.4) than those without a cancer history (58.0, SE 0.1), p = .002. In these models, younger current age, lower body mass index, increased physical activity, higher self-rated health, increased reported happiness, and the absence of noncancer comorbid conditions were all associated with higher physical functioning in both women with and without a history of cancer. Conclusions Women older than 80 years of age with a cancer history have only a moderately lower level of physical function than comparably aged women without a cancer history. Factors associated with higher levels of physical functioning were similar in both groups.

Background Intensive dietary intervention programs may lead to benefits in vitality and other components of health quality. The Women's Health Initiative Dietary Modification (DM) intervention includes a large randomized controlled trial of an intensive intervention. Objective To evaluate whether the intervention is associated with improved health-related quality of life (HRQoL) subscales, overall self-reported health, depression symptoms, cognitive functioning, and sleep quality. Design This randomized controlled trial was analyzed as intent to treat. Participants Between 1993 and 1998, 48,835 women aged 50 to 79 years were recruited by 40 clinical centers across the United States. Eligibility included having fat intake at baseline ≥32% of total calories, and excluded women with any prior colorectal or breast cancer, recent other cancers, type 1 diabetes, or medical conditions with predicted survival Intervention Goals were to reduce calories from fat to 20%, increase vegetables and fruit to 5+ servings, and increase grain servings to 6+ servings a day. During the first year, 18 group sessions were held, with quarterly sessions thereafter. Main outcome measures The RAND 36-Item Health Survey was used to assess HRQoL at baseline, Year 1, and close-out (about 8 years postrandomization), and estimate differential HRQoL subscale change scores. Statistical analyses performed Mean change in HRQoL scores (Year 1 minus baseline) were compared by randomization group using linear models. Results At 1 year, there was a differential change between intervention and comparison group of 1.7 units (95% CI 1.5, 2.0) in general health associated with the intervention. DM intervention improved physical functioning by 2.0 units (95% CI 1.7, 2.3), vitality by 1.9 units (95% CI 1.6, 2.2), and global quality of life by 0.09 units (95% CI 0.07, 0.12). With the exception of global quality of life, these effects were significantly modified by body mass index at baseline. Conclusions DM intervention was associated with small, but significant improvements in three HRQoL subscales: general health, physical functioning, and vitality at 1 year follow-up, with the largest improvements seen in the women with the greatest baseline body mass index.

Introduction: Large segments of the United States population do not receive quality cancer care due to pervasive and systemic inequities. Disparate cancer care is associated with increased morbidity and mortality. Multi-component, multi-level interventions can address inequities and improve care, but only if they reach populations of interest. Intervention studies often under-enroll populations of interest, despite having an adequate eligible pool. Procedures: The Alliance to Advance Patient-Centered Cancer Care supports six grantees across the US to implement diverse multi-component (e.g., access, symptom monitoring, wellness, survivorship), multi-level (e.g., patients, clinicians, caregivers) intervention programs with the shared goals of reducing disparities, increasing patient engagement, and improving the quality of cancer care. The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework informs the evaluation efforts across the six sites. An important first step is to reach and enroll individuals who are most in need of cancer screening or access to cancer treatment. Target populations across sites include underrepresented minorities (e.g., Black and Latinx persons), those who speak English as a second language, and rural residents. Each participating site defined the target population(s) for their program. The sites used four key strategies to reach their target populations, which included: lay and clinical navigators, community advisory boards, data algorithms to conduct eligibility screening from the electronic health record, and dynamic community-based participatory research approaches. For years 2018-2019, we evaluated the demographic characteristics of participants recruited to program interventions compared to the overall demographic characteristics of each site’s pool of potentially eligible participants. Summary data: Of 4,692 potentially eligible participants, the six sites have enrolled 1,880 participants to date. Below we report the proportion of individuals with selected characteristics from the total enrolled: Black adults: 39% enrolled, (n=733), Latinx adults: 23% enrolled, (n=432), English as second language speakers: 19% enrolled, (n=357), and rural residents: 25% enrolled, (n=470). These proportions were similar or exceeded the proportions observed across the entire pool of eligible persons. Specifically, of 4,692 eligible persons across all sites, 35% were Black adults, 19% were Latinx adults, 15% spoke English as a second language, and 23% resided in rural areas. Conclusion: The Alliance to Advance Patient-Centered Cancer Care grantees have met or exceeded target enrollments from underserved groups to patient-centered intervention programs. Intentional strategies that include human resources, technology, and community engagement are needed and can be successful in improving access to high-quality cancer screening, treatment, and supportive care. Citation Format: Debra L. Barton, Bidisha Ghosh, Heidi A. Hamann, Sanja Percac-Lima, Adrian S. Dobs, Michelle J. Naughton, Roland P. Matthews, Sheryl Gabram-Mendola, Melissa A. Simon, Yvonne Bueno, Beverly Moy, Electra D. Paskett, Sankirtana M. Danner, Bingxin Chen, Robert J. Ploutz- Snyder, Christopher R. Friese. Strategies to improve the reach of interventions to address inequities in cancer care: Results from a six-site initiative [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr PO-076.

255 Background: With advances in technology, smartphones are being used for multiple research and clinical care functions. However, not all patients have these devices, leading to disparities in participation. We report on a quality improvement program that provided smartphones to patients without these devices. Methods: Gynecologic (n = 120) and breast (n = 193) cancer patients under active treatment were enrolled in a 12-month text-based symptom monitoring program to facilitate communication and optimize patient management. Patients without a smartphone were provided with an iPhone through a partnership with a U.S. wireless company. The company provided smartphone devices at zero cost, and program funds paid for 12 months of phone service. Program staff helped patients set up the iPhones, and provided basic education and ongoing phone support. After 12 months, patients were able to keep their iPhones, but had to secure their own phone plan for calling and texting functions. Results: iPhones were provided to 42 (13.4%) patients across all cancer types. Patients who received iPhones, compared with those who had a smartphone, had incomes below $50,000/year (p = 0.03) and an educational level of < high school (p < 0.0001). Program staff had few difficulties training patients to operate the phones or in patients’ adherence to symptom monitoring after receiving the iPhones. Phone service charges averaged $40 per month or $500 per person for 12 months. Greater than 90% of patients believed the phones enabled them to better communicate with their health care team and family/support networks, and 95% believed the phones had a positive impact on their life. However, only 70% planned on getting a phone service plan at the end of the 12 months, due to cost or believing a smartphone was not a necessity. Conclusions: Providing smartphones to patients enabled them to better communicate with their health care team and families, and participate in remote symptom monitoring during active treatment. Programs such as these are needed to reduce disparities in patient care, and support quality improvement efforts using electronic devices.