Cancer statistics for adults aged 85 years and older, 2019.

Adults aged 85 years and older, the "oldest old," are the fastest-growing age group in the United States, yet relatively little is known about their cancer burden. Combining data from the National Cancer Institute, the North American Association of Central Cancer Registries, and the National Center for Health Statistics, the authors provide comprehensive information on cancer occurrence in adults aged 85 years and older. In 2019, there will be approximately 140,690 cancer cases diagnosed and 103,250 cancer deaths among the oldest old in the United States. The most common cancers in these individuals (lung, breast, prostate, and colorectum) are the same as those in the general population. Overall cancer incidence rates peaked in the oldest men and women around 1990 and have subsequently declined, with the pace accelerating during the past decade. These trends largely reflect declines in cancers of the prostate and colorectum and, more recently, cancers of the lung among men and the breast among women. We note differences in trends for some cancers in the oldest age group (eg, lung cancer and melanoma) compared with adults aged 65 to 84 years, which reflect elevated risks in the oldest generations. In addition, cancers in the oldest old are often more advanced at diagnosis. For example, breast and colorectal cancers diagnosed in patients aged 85 years and older are about 10% less likely to be diagnosed at a local stage compared with those diagnosed in patients aged 65 to 84 years. Patients with cancer who are aged 85 years and older have the lowest relative survival of any age group, with the largest disparities noted when cancer is diagnosed at advanced stages. They are also less likely to receive surgical treatment for their cancers; only 65% of breast cancer patients aged 85 years and older received surgery compared with 89% of those aged 65 to 84 years. This difference may reflect the complexities of treating older patients, including the presence of multiple comorbidities, functional declines, and cognitive impairment, as well as competing mortality risks and undertreatment. More research on cancer in the oldest Americans is needed to improve outcomes and anticipate the complex health care needs of this rapidly growing population.

Equitably improving outcomes for cancer survivors and supporting caregivers: A blueprint for care delivery, research, education, and policy.

Cancer care delivery is being shaped by growing numbers of cancer survivors coupled with provider shortages, rising costs of primary treatment and follow-up care, significant survivorship health disparities, increased reliance on informal caregivers, and the transition to value-based care. These factors create a compelling need to provide coordinated, comprehensive, personalized care for cancer survivors in ways that meet survivors' and caregivers' unique needs while minimizing the impact of provider shortages and controlling costs for health care systems, survivors, and families. The authors reviewed research identifying and addressing the needs of cancer survivors and caregivers and used this synthesis to create a set of critical priorities for care delivery, research, education, and policy to equitably improve survivor outcomes and support caregivers. Efforts are needed in 3 priority areas: 1) implementing routine assessment of survivors' needs and functioning and caregivers' needs; 2) facilitating personalized, tailored, information and referrals from diagnosis onward for both survivors and caregivers, shifting services from point of care to point of need wherever possible; and 3) disseminating and supporting the implementation of new care methods and interventions.

Long-term multimorbidity trajectories in older adults: The role of cancer, demographics, and health behaviors.

BACKGROUND: Multimorbidity is associated with premature mortality and excess health care costs. The burden of multimorbidity is highest among patients with cancer, yet trends and determinants of multimorbidity over time are poorly understood. METHODS: Via Medicare claims linked to Cancer Prevention Study II data, group-based trajectory modeling was used to compare National Cancer Institute comorbidity index score trends for cancer survivors and older adults without a cancer history. Among cancer survivors, multinomial logistic regression analyses evaluated associations between demographics, health behaviors, and comorbidity trajectories. RESULTS: In 82,754 participants (mean age, 71.6 years [SD, 5.1 years]; 56.9% female), cancer survivors (n = 11,265) were more likely than older adults without a cancer history to experience the riskiest comorbidity trajectories: (1) steady, high comorbidity scores (remain high; odds ratio [OR], 1.36; 95% CI, 1.29-1.45), and (2) high scores that increased over time (start high and increase; OR, 1.51; 95% CI, 1.38-1.65). Cancer survivors who were physically active postdiagnosis were less likely to fall into these two trajectories (OR, 0.73; 95% CI, 0.64-0.84, remain high; OR, 0.42; 95% CI, 0.33-0.53, start high and increase) compared to inactive survivors. Cancer survivors with obesity were more likely to have a trajectory that started high and increased (OR, 2.83; 95% CI, 2.32-3.45 vs. normal weight), although being physically active offset some obesity-related risk. Cancer survivors who smoked postdiagnosis were also six times more likely to have trajectories that started high and increased (OR, 6.86; 95% CI, 4.41-10.66 vs. never smokers). CONCLUSIONS: Older cancer survivors are more likely to have multiple comorbidities accumulated at a faster pace than older adults without a history of cancer. Weight management, physical activity, and smoking avoidance postdiagnosis may attenuate that trend.

American Cancer Society/American Society of Clinical Oncology Breast Cancer Survivorship Care Guideline.

Answer questions and earn CME/CNE The purpose of the American Cancer Society/American Society of Clinical Oncology Breast Cancer Survivorship Care Guideline is to provide recommendations to assist primary care and other clinicians in the care of female adult survivors of breast cancer. A systematic review of the literature was conducted using PubMed through April 2015. A multidisciplinary expert workgroup with expertise in primary care, gynecology, surgical oncology, medical oncology, radiation oncology, and nursing was formed and tasked with drafting the Breast Cancer Survivorship Care Guideline. A total of 1073 articles met inclusion criteria; and, after full text review, 237 were included as the evidence base. Patients should undergo regular surveillance for breast cancer recurrence, including evaluation with a cancer-related history and physical examination, and should be screened for new primary breast cancer. Data do not support performing routine laboratory tests or imaging tests in asymptomatic patients to evaluate for breast cancer recurrence. Primary care clinicians should counsel patients about the importance of maintaining a healthy lifestyle, monitor for post-treatment symptoms that can adversely affect quality of life, and monitor for adherence to endocrine therapy. Recommendations provided in this guideline are based on current evidence in the literature and expert consensus opinion. Most of the evidence is not sufficient to warrant a strong evidence-based recommendation. Recommendations on surveillance for breast cancer recurrence, screening for second primary cancers, assessment and management of physical and psychosocial long-term and late effects of breast cancer and its treatment, health promotion, and care coordination/practice implications are made.

COVID-19 and access to cancer care in Kenya: patient perspective.

COVID-19 disruptions severely impacted access to health services for noncommunicable diseases, including cancer, but few studies have examined patient perspectives of COVID-19-induced barriers to care in low/middle-income countries. Data come from a survey completed online, over the phone or in person of 284 adult people with cancer in Kenya. One-third (36%) of participants had primary or no education and 34% had some or complete secondary education. Half of the participants (49%) were aged 40 to 59, 21% were 18 to 39 and 23% were 60 or older. Two-thirds were female (65%) and most visited a national referral hospital in Nairobi to receive care (84%). Mean travel time to Nairobi from the respondent county of residence was 2.47 hours (±2.73). Most participants reported decreased household income (88%) and were worried about their ability to afford cancer treatment due to COVID-19 (79%). After covariate adjustment, participants who lost access to hospitals due to COVID-19 travel restrictions were 15 times more likely to experience a cancer care delay (OR = 14.90, 95% CI: 7.44-29.85) compared to those with continued access to hospitals. Every additional hour of travel time to Nairobi from their county of residence resulted in a 20% increase in the odds of a cancer care delay (OR = 1.20, 95% CI: 1.06-1.36). Transportation needs and uninterrupted access to cancer care and medicines should be accounted for in COVID-19 mitigation strategies. These strategies include permits for cancer patients and caregivers to travel past curfew time or through block posts to receive care during lockdowns, cash assistance and involving patient navigators to improve patient communication.

Cancer health self-efficacy improvement in a randomized controlled trial.

BACKGROUND: eHealth interventions can help cancer survivors self-manage their health outside the clinic. Little is known about how best to engage and assist survivors across the age and cancer treatment spectra. METHODS: The American Cancer Society conducted a randomized controlled trial that assessed efficacy of, and engagement with, Springboard Beyond Cancer, an eHealth self-management program for cancer survivors. Intent-to treat analyses assessed effects of intervention engagement for treatment (on-treatment vs completed) overall (n = 176; 88 control, 88 intervention arm) and separately by age (<60 years vs older). Multiple imputation was used to account for participants who were lost to follow-up (n = 41) or missing self-efficacy data (n = 1) at 3 months follow-up. RESULTS: Self-efficacy for managing cancer, the primary outcome of this trial, increased significantly within the intervention arm and for those who had completed treatment (Cohen's d = 0.26, 0.31, respectively). Additionally, participants with moderate-to-high engagement in the text and/or web intervention (n = 30) had a significantly greater self-efficacy for managing cancer-related issues compared to the control group (n = 68), with a medium effect size (Cohen's d = 0.44). Self-efficacy did not differ between the intervention and control arm at 3 months post-baseline. CONCLUSIONS: Study results suggest that cancer survivors benefit variably from eHealth tools. To maximize effects of such tools, it is imperative to tailor information to a priori identified survivor subgroups and increase engagement efforts.

Pilot Randomized Controlled Trial of Feasibility, Acceptability, and Preliminary Efficacy of a Web-Based Physical Activity and Sedentary Time Intervention for Survivors of Physical Inactivity-Related Cancers.

BACKGROUND: This pilot study explored the feasibility, acceptability, and usability of a web-based intervention for survivors of physical inactivity-related cancers through a two-arm, 12-week randomized controlled trial. Secondarily, this study tested the change in physical activity (PA) and sedentary time with intervention exposure. METHODS: Prior to randomization to the intervention (n = 45) or behavior "as usual" wait-listed control (n = 40) groups, participants completed baseline surveys and an accelerometer protocol. The intervention focused on increasing PA and decreasing sedentary time through social cognitive theory techniques. Follow-up acceptability/usability surveys (intervention group only) and accelerometers were sent after the intervention period. Information on intervention completion, adverse events, and user statistics were collected to determine feasibility. Median login time and mean acceptability/usability scores were calculated. RESULTS: Participants (mean age = 60 ± 7 years) included female (n = 80, 94%) and male survivors of breast (82%), colon (6%), endometrial (6%), bladder (4%), and kidney (2%) cancer. Seventy-eight (91.7%) participants returned partially or fully complete post-intervention data. There were no reported injuries or safety concerns. Intervention participants logged into the website for a total of 95 min (Q1, Q3 = 11, 204). System usability scores (72 ± 3) indicated above average usability of the website. Changes in time spent active and sedentary were not statistically significantly different between groups (p = 0.45), but within-group changes suggested intervention group participants spent more time active and less time sedentary after the intervention. CONCLUSION: Results of this pilot study suggest its feasibility and acceptability for survivors of several inactivity-related cancers. Additional research to determine long-term efficacy is warranted. This low-cost online-only intervention has the potential to have a very broad reach. TRIAL REGISTRATION: Clinical Trials Number: NCT03983083. Date registered: June 12th, 2019.

Use and Perceptions of Opioids Versus Marijuana among Cancer Survivors.

Public health concerns regarding opioids and marijuana have implications for their medical use. This study examined use motives and perceived barriers in relation to opioid and marijuana use and interest in use among US adult cancer survivors. Self-administered surveys were distributed using social media to assess use motives and perceived barriers among participants living with cancer. Overall, 40.9% of cancer survivors reported current (past 30-day) use of opioids, 42.5% used marijuana, and 39.7% used both. The most common use motives for either/both drugs were to cope with pain and stress/anxiety (>70%). Highest-rated barriers to using either/both drugs were missing symptoms of worsening illness and not wanting to talk about their symptoms. Controlling for sociodemographics, binary logistic regression indicated that current opioid use was associated with reporting greater barriers to use (OR = 1.17, p = .011; Nagelkerke R-square = .934) and that current marijuana use was associated with reporting greater barriers to use (OR = 1.37, p = .003; Nagelkerke R-square = .921). Cancer survivors report various use motives and barriers to use regarding opioids and marijuana. While use motives and barriers for both drugs were similar, these constructs were differentially associated with use and interest in use across drugs. Understanding patients' perceptions about opioids and marijuana is an essential component to effectively manage symptoms related to a cancer diagnosis and improve quality of life for cancer survivors.

Self-reported physical activity, sitting time, and mental and physical health among older cancer survivors compared with adults without a history of cancer.

BACKGROUND: To the authors' knowledge, few studies to date have examined associations between moderate to vigorous physical activity (MVPA) and sitting time with quality of life in cancer survivors compared with a cancer-free group. The current study examined differences in global mental health (GMH) and global physical health (GPH) across levels of MVPA and sitting among cancer survivors and cancer-free participants. METHODS: Cancer Prevention Study II participants (59.9% of whom were female with an age of 77.8 ± 5.8 years) were grouped as: 1) survivors who were 1 to 5 years after diagnosis (3718 participants); 2) survivors who were 6 to 10 years after diagnosis (4248 participants); and 3) cancer-free participants (ie, no history of cancer; 69,860 participants). In 2009, participants completed MVPA, sitting, and Patient-Reported Outcomes Measurement Information System GMH/GPH surveys. Mean differences in GMH and GPH T scores across MVPA (none, 0 to <7.5, 7.5 to <15, 15 to <22.5, and ≥22.5 metabolic equivalent [MET]-hours/week) and sitting (0 to <3, 3 to <6, and ≥6 hours/day) were assessed using multivariate generalized linear models. RESULTS: The mean GMH and GPH scores were statistically significantly higher in cancer-free participants compared with cancer survivor groups, although the differences were not clinically meaningful (mean difference of 0.52 for GMH and 0.88 for GPH). More MVPA was associated with higher GMH and GPH scores for all 3 groups (P for trend <.001), and differences between the least and most active participants were found to be clinically meaningful (mean differences of ≥4.34 for GMH and ≥6.39 for GPH). Similarly, a lower duration of sitting was associated with higher GMH and GPH scores for all groups (P for trend <.001), with clinically meaningful differences observed between the least and most sedentary participants (mean differences of ≥2.74 for GMH and ≥3.75 for GPH). CONCLUSIONS: The findings of the current study provide evidence of the importance of increased MVPA and decreased sitting for improved health in older adults with or without a prior cancer diagnosis.

Cancer survivor worries about treatment disruption and detrimental health outcomes due to the COVID-19 pandemic.

PURPOSE: We examined cancer survivor worries about treatment, infection, and finances early in the U.S. COVID-19 pandemic. DESIGN: Closed- and open-ended online survey questions were collected from adult cancer survivors (N = 972). METHODS: Logistic regression identified factors associated with treatment, infection, and financial worry. Thematic qualitative analysis generated information around participants' experiences and worries related to COVID-19 and healthcare. FINDINGS: Characteristics including marital status, race/ethnicity, cancer type, time since last treatment, education, and age were associated with health and healthcare worry outcomes. Survivors commonly expressed uncertainty about future care, fears about in-person appointments, rationed COVID-19 care, recurrence due to care delays, and distress about untreated symptoms, including mental health issues. CONCLUSIONS: Early in the pandemic, survivors worried about and experienced cancer care delays, COVID infection, and how the pandemic would affect their prognosis. IMPLICATIONS: Healthcare professionals need to be aware of cancer survivors' concerns and uncertainties to provide appropriate care.

Examining the impact of cancer on survivors' religious faith: A report from the American Cancer Society study of cancer survivors-I.

OBJECTIVES: The impact of religion/spirituality (R/S) on cancer outcomes, including health-related quality of life (HRQoL), has been the topic of much investigation. Reports of the opposite, that is, the impact of cancer on R/S and associations with HRQoL, are few. The current study sought to explore the positive and negative impacts of cancer on the religious faith of survivors as well as the associations of such impacts with HRQoL. METHODS: Participants included 2309 9-year survivors of cancer from the American Cancer Society's Studies of Cancer Survivors-I. The impact of cancer on R/S was measured using items from the Patient-Reported Outcomes Measurement Information System (PROMIS) psychosocial impact of illness-faith, and HRQoL was measured with the 12-item short form (SF-12). Hierarchical regressions were used to examine the impact of cancer on R/S controlling for medical and demographic covariates. RESULTS: Consistent with hypotheses, the majority of survivors (70%) reported that cancer had a positive impact on religious faith, while the negative impact of cancer on religious faith was relatively rare (17%). In multivariable models, the negative impact of cancer on faith was associated with poorer HRQoL, both mental and physical, while the positive impact of cancer on faith was associated with greater mental well-being. CONCLUSIONS: Cancer has a negative impact on religious faith for a minority of survivors. However, when it is reported, such negative impact is indicative of poorer mental and physical well-being. As such, it is important to identify those survivors at risk early in survivorship and provide support and intervention as needed.

Research Participants' Perspectives on Using an Electronic Portal for Engagement and Data Collection: Focus Group Results From a Large Epidemiologic Cohort.

BACKGROUND: Epidemiologic cohort studies have begun to leverage electronic research participant portals to facilitate data collection, integrate wearable technologies, lower costs, and engage participants. However, little is known about the acceptability of portal use by research participants. OBJECTIVE: The aim of this study is to conduct focus groups among a sample of Cancer Prevention Study-3 (CPS-3) participants to better understand their preferences and concerns about research portals. METHODS: CPS-3 participants were stratified based on sex, race and ethnicity, age, and cancer status, and randomly invited to participate. Focus groups used an exploratory case design with semistructured guides to prompt discussion. Using a constant comparison technique, transcripts were assigned codes to identify themes. RESULTS: Participants (31/59, 52% women; 52/59, 88% White/non-Latinx) were favorably disposed toward using a research participant portal to take surveys, communicate with the study staff, and upload data. Most participants indicated that a portal would be beneficial and convenient but expressed concerns over data safety. Participants stressed the importance of an easy-to-use and trustworthy portal that is compatible with mobile devices. CONCLUSIONS: In addition to being beneficial to researchers, portals may also benefit participants as long as the portals are secure and simple. Participants believe that portals can provide convenient ways to report data and remain connected to the study.

Association of First Primary Cancer With Risk of Subsequent Primary Cancer Among Survivors of Adult-Onset Cancers in the United States.

Importance: The number of cancer survivors who develop new cancers is projected to increase, but comprehensive data on the risk of subsequent primary cancers (SPCs) among survivors of adult-onset cancers are limited. Objective: To quantify the overall and cancer type-specific risks of SPCs among adult-onset cancer survivors by first primary cancer (FPC) types and sex. Design, Setting, and Participants: A retrospective cohort study from 12 Surveillance, Epidemiology, and End Results registries in the United States, that included 1 537 101 persons aged 20 to 84 years diagnosed with FPCs from 1992-2011 (followed up until December 31, 2017) and who survived at least 5 years. Exposures: First primary cancer. Main Outcomes and Measures: Incidence and mortality of SPCs per 10 000 person-years; standardized incidence ratio (SIR) and standardized mortality ratio (SMR) compared with those expected in the general population. Results: Among 1 537 101 survivors (mean age, 60.4 years; 48.8% women), 156 442 SPC cases and 88 818 SPC deaths occurred during 11 197 890 person-years of follow-up (mean, 7.3 years). Among men, the overall risk of developing any SPCs was statistically significantly higher for 18 of the 30 FPC types, and risk of dying from any SPCs was statistically significantly higher for 27 of 30 FPC types as compared with risks in the general population. Among women, the overall risk of developing any SPCs was statistically significantly higher for 21 of the 31 FPC types, and risk of dying from any SPCs was statistically significantly higher for 28 of 31 FPC types as compared with risks in the general population. The highest overall SIR and SMR were estimated among survivors of laryngeal cancer (SIR, 1.75 [95% CI, 1.68-1.83]; incidence, 373 per 10 000 person-years) and gallbladder cancer (SMR, 3.82 [95% CI, 3.31-4.39]; mortality, 341 per 10 000 person-years) among men, and among survivors of laryngeal cancer (SIR, 2.48 [95% CI, 2.27-2.72]; incidence, 336 per 10 000 person-years; SMR, 4.56 [95% CI, 4.11-5.06]; mortality, 268 per 10 000 person-years) among women. Substantial variation existed in the associations of specific types of FPCs with specific types of SPC risk; however, only a few smoking- or obesity-associated SPCs, such as lung, urinary bladder, oral cavity/pharynx, colorectal, pancreatic, uterine corpus, and liver cancers constituted considerable proportions of the total incidence and mortality, with lung cancer alone accounting for 31% to 33% of mortality from all SPCs. Conclusions and Relevance: Among survivors of adult-onset cancers in the United States, several types of primary cancer were significantly associated with greater risk of developing and dying from an SPC, compared with the general population. Cancers associated with smoking or obesity comprised substantial proportions of overall SPC incidence and mortality among all survivors and highlight the importance of ongoing surveillance and efforts to prevent new cancers among survivors.

Understanding Long-Term Cancer Survivors' Preferences for Ongoing Medical Care.

BACKGROUND: Due to risk for treatment-related late effects and concerns about cancer recurrence, long-term cancer survivors have unique medical needs. Survivors' preferences for care may influence adherence and care utilization. OBJECTIVE: To describe survivors' preferences for care and factors associated with preferred and actual care. DESIGN: Cross-sectional analysis of participants in a longitudinal study using mailed questionnaires. PARTICIPANTS: Survivors of ten common cancers (n = 2,107, mean years from diagnosis 8.9). MAIN MEASURES: (1) Survivors' preferences for primary care physician (PCP) and oncologist responsibilities across four types of care: cancer follow-up, cancer screening, preventive health, and comorbid conditions. (2) Survivor-reported visits to PCPs and oncologists. KEY RESULTS: The response rate was 42.1%. Most long-term survivors preferred PCPs and oncologists share care for cancer follow-up (63%) and subsequent screening (65%), while preferring PCP-led preventive health (77%) and comorbid condition (83%) care. Most survivors (88%) preferred oncologists involved in cancer follow-up care, but only 60% reported an oncologist visit in the previous 4 years, and 96% reported a PCP visit in the previous 4 years. In multivariable regressions, those with higher fear of cancer recurrence were less likely to prefer PCP-led cancer follow-up care (OR = 0.96, CI = 0.93-0.98), as did survivors with advanced cancer stage (OR = 0.56, CI = 0.39-0.79). Those with higher fear of recurrence (OR = 1.03, CI = 1.01-1.04) or who preferred oncologist-led cancer follow-up care (OR = 2.08, CI = 1.63-2.65) had greater odds of seeing an oncologist in the last 4 years. CONCLUSIONS: Most cancer survivors preferred PCPs and oncologists share care for cancer follow-up and screening, yet many had not seen an oncologist recently. Survivors preferred PCP-led care for other preventive services and management of comorbid conditions. These findings highlight the important role PCPs could play in survivor care, suggesting the need for PCP-oriented education and health system policies that support high-quality PCP-led survivor care.

A user centered design approach to development of an online self-management program for cancer survivors: Springboard Beyond Cancer.

OBJECTIVE: The American Cancer Society and the National Cancer Institute launched and evaluated a personalized online program leveraging behavioral science principles to help people self-manage physical and emotional symptoms, improve communication skills, and lead healthier lives during and after a cancer diagnosis. METHODS: Cancer survivors were recruited from an academic medical and a community clinical setting (N = 40) to complete in-person user testing of the Springboard Beyond Cancer website, which included action decks and content to promote self-management. Action decks were printable or savable collections of information and action steps related to a cancer topic or treatment side effect. Participants performed structured tasks to evaluate the program's content and usability. Comments and reactions were recorded, and qualitative thematic analyses were conducted. RESULTS: Most participants successfully found information about fatigue (95%), pain (83%), sexual side effects (90%), and support groups (85%). Survivors, particularly those in treatment, found information on the site to be clear, concise, and meeting their needs. Use of action decks to create self-management plans was inconsistent. Survivors reported needing more instruction and support within the program on how to best utilize enhanced functionality in action decks to prioritize their most pressing concerns. CONCLUSIONS: Early stakeholder engagement throughout the multiple phases of prototyping and deployment are needed to fully maximize end user engagement. Providing actionable self-management content and activating tools to cancer survivors via an eHealth program is a feasible and scalable approach to increasing access to self-management tools and addressing cancer survivor needs.

Disentangling Efficacy and Expectations: A Prospective, Cross-lagged Panel Study of Cancer Survivors' Physical Activity.

Background: Despite demonstrated utility of Bandura's social cognitive theory for increasing physical activity among cancer survivors, the validity of the originally hypothesized relationships among self-efficacy, outcome expectations, and physical activity behavior continues to be debated. Purpose: To explore the temporal ordering of outcome expectations and self-efficacy as they relate to moderate-to-vigorous physical activity behavior. Methods: Longitudinal data from cancer survivors (N = 1,009) recently completing treatment were used to fit six cross-lagged panel models, including one parent model, one model representing originally hypothesized variable relationships, and four alternative models. All models contained covariates and used full information maximum likelihood and weighted least squares mean and variance adjusted estimation. Tests of equal fit between the parent model and alternative models were conducted. Results: The model depicting Bandura's originally hypothesized relationships showed no statistically significant relationship between outcome expectations and physical activity (p = .18), and was a worse fit to the data, compared with the parent model [Χ2 (1) = 5.92, p = .01]. An alternative model showed evidence of a reciprocal relationship between self-efficacy and outcome expectations, and was statistically equivalent to the parent model [Χ2(1) = 2.01, p = .16]. Conclusions: This study provides evidence against Bandura's theoretical assertions that (a) self-efficacy causes outcome expectations and not vice versa, and (b) outcome expectation has a direct effect on physical activity. Replication within population subgroups and for other health behaviors will determine whether the social cognitive theory needs modification. Future trials should test whether differential construct ordering results in clinically meaningful differences in physical activity behavior change.

Obesity, physical activity, and breast cancer survival among older breast cancer survivors in the Cancer Prevention Study-II Nutrition Cohort.

PURPOSE: Nearly half of the 3.5 million female breast cancer survivors in the US are aged 65 years or older at diagnosis, yet little is known about associations of obesity and physical activity with breast cancer-specific mortality (BCSM) among older survivors. METHODS: Between 1992 and 2013, 5254 women in the Cancer Prevention Study-II Nutrition Cohort were diagnosed with local or regional breast cancer among whom 1771 deaths (505 breast cancer deaths) occurred. Multivariable Cox proportional hazards regression models were used to examine associations of pre- and post-diagnosis body mass index (BMI) and moderate-vigorous physical activity (MET-hours/week) with mortality outcomes stratified by age at diagnosis (<65, ≥65 years). RESULTS: Among women ≥65 years of age at diagnosis (n = 4226), pre- and post-diagnosis BMI (per 5 kg/m2) were associated with a higher risk of BCSM (pre-diagnosis, HR 1.27, 95% CI 1.14-1.41; post-diagnosis, HR 1.19, 95% CI 1.04, 1.36); neither pre- nor post-diagnosis physical activity was associated with BCSM. Among women <65 years of age at diagnosis (n = 1028), BMI at both time points were not significantly associated with BCSM; however, there was a significant inverse trend of post-diagnosis physical activity with BCSM (P-trend = 0.01). Among both age groups, BMI and physical activity, regardless of when assessed, were significantly associated with all-cause mortality. CONCLUSIONS: Higher BMI, pre- or post-diagnosis, was associated with a higher risk of BCSM in older patients, independent of comorbidities and stage at diagnosis. Weight management should be discussed even with women aged 65 years or older to lower rates of BCSM.

Physical Activity in Cancer Survivors During "Re-Entry" Following Cancer Treatment.

INTRODUCTION: The transition from active cancer treatment into survivorship, known as re-entry, remains understudied. During re-entry, clinicians can educate survivors on the benefits of healthy behaviors, including physical activity, as survivors adjust to life after cancer. We examine the prevalence of adherence to established aerobic physical activity guidelines (≥150 minutes of moderate-intensity physical activity per week) in addition to related medico-demographic factors among cancer survivors during re-entry. METHODS: Data from 1,160 breast, colorectal, and prostate cancer survivors participating in the American Cancer Society's National Cancer Survivor Transition Study were examined. Multinomial logistic regression was used to calculate adjusted odds ratios (AOR) for various medico-demographic variables in relation to 4 established levels of physical activity (inactive, insufficiently active, 1-<2 times the guideline level, and ≥2 times the guideline level [referent group]). RESULTS: Overall, 8.1% were inactive, 34.1% were insufficiently active, 24.3% were within 1 to less than 2 times the guidelines, and 33.4% exceeded guidelines by 2 or more times. Inactive people had significantly higher odds of being women (AOR, 1.88; 95% confidence interval [CI], 1.10-3.23) and having lower education levels (AOR, 2.02; 95% CI, 1.21-3.38) compared with those who exceeded guidelines by 2 or more times. Each additional comorbidity was associated with a 26% increase in odds of inactivity (AOR, 1.26; 95% CI, 1.08-1.47). CONCLUSION: Patient education on the benefits of regular physical activity is important for all cancer survivors and may be especially important to review after treatment completion to promote healthy habits during this transition period. Survivors who are women, are less educated, and have comorbid conditions may be less likely to be compliant with physical activity guidelines.

Preparedness and Cancer-Related Symptom Management among Cancer Survivors in the First Year Post-Treatment.

BACKGROUND: Many cancer survivors feel unprepared for the physical and psychosocial challenges that accompany the post-treatment care transition (i.e., re-entry phase), including management of cancer-related symptoms. Few studies have investigated personal and contextual factors associated with the extent of preparedness for re-entry or how they are related to cancer-related symptom management. PURPOSE: Data from the American Cancer Society's Cancer Survivor Transition Study examined (1) characteristics of breast, prostate, and colorectal cancer survivors (n = 1188) within the first year of completing treatment who are most and least prepared for re-entry; and (2) how preparedness level and other characteristics are related to cancer-related symptom management. METHODS: Stanton and colleagues' [1] conceptual model of survivorship guided the selection of interpersonal/environmental, individual, and disease/treatment-related characteristics as potential contributors to levels of preparedness and cancer-related symptom management using regression tree and multivariate linear regression analyses. RESULTS: Survivors, on average, felt moderately prepared for the transition to post-treatment care. Lowest levels of preparedness were found among survivors with relatively high depressive symptoms, low perceived quality of oncology-provided survivorship care, and limited discussion about potential side effects with a health professional. Poorer symptom management was associated with younger age, having more comorbid conditions, and lower preparedness, social support, and spirituality. CONCLUSION: Survivors who feel unprepared for the transition to post-treatment care report poorer cancer-related symptom management. Identification of factors associated with low perceived preparedness and poor cancer-related symptom management will assist in risk stratification and development of tailored interventions to meet the needs of cancer survivors during re-entry.