Purpose The aim of this study is to compare health behaviors between breast, prostate, female, and male colorectal cancer survivors to noncancer controls, stratified by short- and long-term survivors, and between cancer types and genders. Methods A 3:1 population-based sample of breast (6,259), prostate (3,609), female colorectal (1,082), and male colorectal (816) cancer survivors from the 2009 Behavioral Risk Factor Surveillance System survey were matched to noncancer controls on age, gender, race/ethnicity, income, insurance, and region of the US. The likelihood of flu immunization, physical check-up, cholesterol check, body mass index (BMI), physical activity, diet (5-A-Day), smoking, and alcohol use were compared between groups using binomial logistic regression models. Results Short-term breast cancer survivors were significantly more likely to meet multiple behavioral recommendations, than controls, but the likelihood decreased in the long term. Breast and female colorectal cancer survivors were up to 2.27 (95 % CI 1.90, 2.71) and 1.89 times more likely (95 % CI 1.60, 2.24) to meet the 5-A-Day and BMI recommendations, up to 0.54 times less likely (95 % CI 0.46, 0.64) to drink any alcohol, but were 0.68 times less likely (95%CI 0.49, 0.95) to meet the physical activity recommendation, compared to prostate and male colorectal cancer survivors. Conclusions Some cancer survivors may engage in better health behaviors shortly after diagnosis, but the majority of cancer survivors do not have better health behaviors than individuals without a history of cancer. However, a consistent pattern of behavioral differences exist between male and female cancer survivors. Implications for Cancer Survivors Gender differences in health behaviors among cancer survivors may be influenced by perceptions of masculinity/femininity and disease risk. Ongoing health behavioral promotion and disease prevention efforts could be improved by addressing these perceptions.

The objectives of this study were to evaluate the characteristics (demographic, access to care, health-related behavioral, self and family medical history, psychosocial) of women age 40 years and above who participated in a mobile mammography screening program conducted throughout West Virginia (WV) to determine the factors influencing their self-reported adherence to mammography screening guidelines. Data were analyzed using the Andersen Behavioral Model of Healthcare Utilization framework to determine the factors associated with adherence to mammography screening guidelines in these women. Of the 686 women included in the analysis, 46.2% reported having had a mammogram in the past 2 years. Bivariate analyses showed predisposing factors such as older age and unemployed status, visit to a obstetrician/gynecologist (OB/GYN) in the past year (an enabling factor) and need-related factors such as having a family history of breast cancer (BC), having had breast problems in the past, having had breast biopsy in the past, having had a Pap test in past 2 years, and having had all the screenings for cholesterol, blood glucose, bone mineral density and high blood pressure in past 2 years to be significant predictors of self-reported adherence to mammography guidelines. In the final model, being above 50 years (OR=2.132), being morbidly obese (OR=2.358), having BC-related events and low knowledge about mammography were significant predictors of self-reported adherence. Breast cancer related events seem to be associated with mammography screening adherence in this rural Appalachian population. Increasing adherence to mammography screening may require targeted, community-based educational interventions that precede and complement visits by the mobile mammography unit.

Background Objectives were to compare health-related quality of life (HRQoL) between breast cancer survivors, prostate cancer survivors (PCS), and colorectal cancer survivors (CCS) to matched controls, stratified by short and long-term survivors, by cancer type, and gender. Methods By using the 2009 Behavioral Risk Factor Surveillance System, propensity scores matched three controls to adult survivors >1 year past diagnosis (N = 11,964) on age, gender, race/ethnicity, income, insurance status, and region of the USA Chi-square tests and logistic regression models compared HRQoL outcomes (life satisfaction, activity limitations, sleep quality, emotional support, general, physical, and mental health). Results Although all cancer survivors reported worse general health (p < 0.000) and more activity limitations (p < 0.004) than controls, these disparities decreased among long-term survivors. Short-term PCS and male CCS were more likely to report worse outcomes across additional domains of HRQoL than controls, but PCS were 0.61, 0.63, and 0.70 times less likely to report activity limitations, fair/poor general health, and 1–15 bad physical health days in the past month than male CCS. Breast cancer survivors and female CCS were 2.12 and 3.17, 1.58 and 1.86, and 1.49 and 153, respectively, times more likely to report rarely/never receiving needed emotional support, 1–15 bad mental health days in the past month, and not receiving enough sleep 1–15 days in the past month than PCS and male CCS. Conclusions Cancer survivors experience worse HRQoL than similar individuals without a history of cancer and the severity of affected HRQoL domains differ by time since diagnosis, cancer type, and gender.

This study examined receipt of guideline-concordant care (GCC) according to evidence-based treatment guidelines and quality measures and specific types of treatment among older women with breast cancer. A total of 142,433 patients aged ≥66 years diagnosed with stage I-III breast cancer between 2007 and 2011 were identified in the SEER-Medicare linked database. Algorithms considering cancer characteristics and the appropriate course of care as per guidelines versus actual care received determined receipt of GCC. Multivariable logistic regression estimated the likelihood of GCC and specific types of treatment for women aged ≥75 versus 66 to 74 years. Overall, 39.7% of patients received GCC. Patients diagnosed at stage II or III, with certain preexisting conditions, and of nonwhite race were less likely to receive GCC. Patients with hormone-negative tumors, higher grade tumors, and greater access to oncology care resources were more likely to receive GCC. Patients aged ≥75 years were approximately 40% less likely to receive GCC or adjuvant endocrine therapy, 78% less likely to have any surgery, 61% less likely to have chemotherapy, and about half as likely to have radiation therapy than those aged 66 to 74 years. Fewer than half of older women with breast cancer received GCC, with the lowest rates observed among the oldest age groups, racial/ethnic minorities, and women with later-stage cancers. However, patients with more aggressive tumor characteristics and greater access to oncology resources were more likely to receive GCC. Considering that older women have the highest incidence of breast cancer and that many are diagnosed at stages requiring more aggressive treatment, efforts to increase rates of earlier stage diagnosis and the development of less toxic treatments could help improve GCC and survival while preserving quality of life.

Evidence from some studies suggest that osteoarthritis (OA) patients are often prescribed non-steroidal anti-inflammatory drugs (NSAIDs) that are not in accordance with their cardiovascular (CV) or gastrointestinal (GI) risk profiles. However, no such study has been carried out in the United States. Therefore, we sought to examine the prevalence and predictors of potentially inappropriate NSAIDs use in older adults (age > 65) with OA using machine learning with real-world data from Optum De-identified Clinformatics® Data Mart. We identified a retrospective cohort of eligible individuals using data from 2015 (baseline) and 2016 (follow-up). Potentially inappropriate NSAIDs use was identified using the type (COX-2 selective vs. non-selective) and length of NSAIDs use and an individual’s CV and GI risk. Predictors of potentially inappropriate NSAIDs use were identified using eXtreme Gradient Boosting. Our study cohort comprised of 44,990 individuals (mean age 75.9 years). We found that 12.8% individuals had potentially inappropriate NSAIDs use, but the rate was disproportionately higher (44.5%) in individuals at low CV/high GI risk. Longer duration of NSAIDs use during baseline (AOR 1.02; 95% CI:1.02–1.02 for both non-selective and selective NSAIDs) was associated with a higher risk of potentially inappropriate NSAIDs use. Additionally, individuals with low CV/high GI (AOR 1.34; 95% CI:1.20–1.50) and high CV/low GI risk (AOR 1.61; 95% CI:1.34–1.93) were also more likely to have potentially inappropriate NSAIDs use. Heightened surveillance of older adults with OA requiring NSAIDs is warranted.

Risk perceptions are motivating factors for engaging in preventive health behaviors. Yet, almost one third of women attending a mobile mammography program targeted to rural and medically underserved Appalachian women respond “don’t know” to their perceived 5-year risk of breast cancer. This study used cross-sectional data from women aged ≥40 years participating in Bonnie’s Bus Mammography Screening and Preventive Care Survey from 2009 to 2011 to identify factors associated with “don’t know” responses and accuracy of perceived risk according to constructs of the health belief model and sociodemographic characteristics. Women who responded “don’t know” were more likely to be less educated, of lower income, insured by Medicaid, and less knowledgeable about breast cancer. Conversely, women who accurately perceived their risk were more likely to be of higher education, more knowledgeable about breast cancer, and have a family history of breast cancer. However, women with a high objective 5-year risk of breast cancer and older age at childbirth or were nulliparous were less likely to accurately perceive their risk. These findings suggest that women who indicate “don’t know” responses and hold inaccurate risk perceptions are a population vulnerable to health disparities and may benefit from educational interventions focused on improving breast cancer knowledge and perceptions to empower them to take an active role in their preventive health and make informed decisions based on their individual level of risk.

Purpose This study aims to evaluate the associations between switching from warfarin to non-vitamin K oral anticoagulants (NOACs), exposure to potential drug-drug interactions (DDIs), and major bleeding events in working-age adults with atrial fibrillation (AF). Methods We conducted a retrospective cohort study using the claims database of commercially insured working-age adults with AF from 2010 to 2015. Switchers were defined as patients who switched from warfarin to NOAC; non-switchers were defined as those who remained on warfarin. We developed novel methods to calculate the number and proportion of days with potential DDIs with NOAC/warfarin. Multivariate logistic regressions were utilized to evaluate the associations between switching to NOACs, exposure to potential DDIs, and major bleeding events. Results Among a total of 4126 patients with AF, we found a significantly lower number of potential DDIs and the average proportion of days with potential DDIs in switchers than non-switchers. The number of potential DDIs (AOR 1.14, 95% CI 1.02–1.27) and the HAS-BLED score (AOR 1.64, 95% CI 1.48–1.82) were significantly and positively associated with the likelihood of a major bleeding event. The proportion of days with potential DDIs was also significantly and positively associated with risk for bleeding (AOR 1.42, 95% CI 1.03, 1.96). We did not find significant associations between switching to NOACs and major bleeding events. Conclusions The number and duration of potential DDIs and patients’ comorbidity burden are important factors to consider in the management of bleeding risk in working-age AF adults who take oral anticoagulants.

Over half of older women with ESBC initially receive BCS+RT. The likelihood for mastectomy and BCS only increases with age, comorbidity, and vulnerable socio-demographic characteristics. Findings demonstrate continued treatment disparities among certain vulnerable populations.