Evaluating the relationship between physical activity and quality of life in a racially diverse sample of breast cancer survivors.

PURPOSE: Physical activity (PA) has been shown to improve quality of life (QoL) in predominantly White cancer survivors. Very few studies have examined the association between PA and QoL among Black breast cancer survivors (BCS). We investigated the association between PA and multiple QoL domains and the effects of race on the proposed association in a racially diverse group of BCS. METHODS: This was an exploratory study using secondary data from a completed 12-month randomized controlled  trial (RCT). Mixed effects models were tested on a subset of participants in the control and exercise groups of the RCT. The primary outcomes were changes in the QoL domains (baseline to 12 months post baseline). RESULTS: There were 173 participants included in this analysis, averaging 59 years of age; about 33% of the participants were Black women. There were no significant differences in the QoL outcomes between the control and exercise groups at 12 months post baseline. Race was not a significant moderator. Exercise improved emotional/mental wellbeing and body image as it relates to social barriers at 12 months post baseline in Black and White BCS, but the changes in these outcomes were only statistically significant in White BCS (p < 0.05). CONCLUSIONS: Results show that exercise can improve multiple QoL domains over time in Black BCS. However, the significance of the effect on QoL was isolated to White BCS. The small sample size in Black women could constrain the statistical significance of observed effects. Future studies are warranted to assess associations between exercise and QoL in larger samples of Black women.

Exploring Quality of Life Experiences and Concerns of Black Breast Cancer Survivors: a Narrative Approach.

Black breast cancer survivors (BCS) in comparison with White BCS are more likely to experience suboptimal quality of life (QoL). QoL is a multi-dimensional concept that focuses on different aspects of well-being (e.g., emotional well-being). There is limited evidence on the perspectives and experiences of QoL (e.g., the influence of breast cancer on QoL) and the QoL concerns (e.g., negative perceptions of body appearance) among Black BCS. The purpose of this study was to explore the QoL experiences and QoL concerns of Black BCS. Primary data was collected in semi-structured interviews and analyzed using a thematic analysis. A narrative approach (detailed stories or life experiences of a small group of people) was used to better understand the research topic among the target group. Ferrell's Conceptual Framework on QoL in Breast Cancer was used to guide the development of the interview questions, codes, and themes. There were 10 Black BCS, averaging 58 years of age. Two coders achieved a moderate level of agreement (i.e., Kappa) of 0.77. Five major themes were identified: defining QoL (what QoL means to them), behavioral changes (e.g., altering behaviors due to cancer), phases of cancer (e.g., breast cancer diagnosis), QoL experiences and factors affecting QoL, and impactful statements from cancer survivors (other meaningful information shared by the participants). The survivors reported multiple QoL concerns and body image issues. The study findings warrant cancer education interventions or programs to address the relevant survivorship issues of Black BCS.

Training the Next Generation of Local Public Health Leaders: A Case Study of Community Health Organizers in Pennsylvania.

Few short-term training programs exist for persons with limited experience or training in public health to support public health initiatives. We describe a public health training designed by the Pennsylvania (PA) Training Center for Health Equity for the PA Community Health Organizer (CHO) program. The CHO program was created to address the immediate needs of underserved communities and promote lasting health equity during the pandemic. CHOs are professionals who promote community action and align efforts with local organizations to build sustainable public health infrastructure and apply evidence-based practices to program policy, planning, and development. The training content, delivered by Project Extension for Community Healthcare Outcomes (ECHO) in 12 monthly sessions, focused upon foundational public health concepts in a novel community case study approach. The ECHO All Teach, All Learn training model was successful in providing relevant public health information to this new workforce, and the pre-/post-training evaluation demonstrated a positive increase in knowledge across all domains.

Evaluation of the Spanish-Language Cancer Educational Webinar Series "Vamos a educarnos contra el cáncer" with the RE-AIM Framework.

The COVID-19 pandemic disrupted healthcare for patients with chronic diseases, including cancer. Barriers to healthcare increased, especially for racial and ethnic minorities. While many institutions developed webinars to educate community members, few webinars used a community-based participatory approach, employed a theory-based engagement design, and were evaluated. This manuscript reports the outcomes of "Vamos a educarnos contra el cáncer," a 2021 webinar series. Monthly educational webinars were conducted in Spanish on cancer-related topics. The presentations were delivered by Spanish-speaking content experts from different organizations. Webinars were conducted using the video conferencing platform Zoom. Polls were launched during the webinar to collect data and evaluate each webinar. The RE-AIM model of reach, effectiveness, adoption, implementation, and maintenance was used to evaluate the series. The SAS Analytics Software was used for analysis and data management. Two hundred ninety-seven people participated with over 3000 views of the webinar recordings (Reach); 90% rated the sessions as good or excellent (Effectiveness); 86% agreed to adopt or improve a cancer-related behavior, and 90% reported willingness to adopt or improve a cancer-related action for someone else (Adoption); 92% reported feeling engaged (Implementation). The series has produced a resource library, manual of operations, and agreement of the Hispanic/Latino Cancer Community Advisory Board (CAB) to continue the webinar series in the future (Maintenance). Overall, these results highlight the impact of this webinar series and provide a standard approach to planning, delivering, and evaluating webinars as a strategy for cancer prevention and control in a culturally appropriate manner.

Behaviors and Advocacy Related to COVID-19 among Cancer Patients: The Health Belief Model and Opportunities for Messaging and Education.

Cancer patients have an increased risk of severe COVID-19 outcomes and were recommended to be vaccinated, wear a mask, practice social distancing, and increase hand hygiene. We used the Health Belief Model (HBM) to identify constructs that were associated with the likelihood of adhering to and advocating for CDC COVID-19 prevention recommendations. We surveyed adult cancer patients who had an onsite appointment at the Penn State Cancer Institute or at the Hematology and Oncology Associates of Northeastern Pennsylvania. Survey measures included adherence to and informing others of COVID-19 recommendations as well as HBM constructs. Relationships between HBM constructs and outcomes were assessed with Spearman's correlation and multivariable ordinal logistic regression. Of the 106 participants who completed the survey for our objectives of interest, 76% always wore a mask, 29% always practiced social distancing, and 24% washed their hands at least 10 times a day. Limited advocacy behaviors were captured for the COVID-19 vaccine (30%), social distancing (36%), and wearing masks (27%). Perceived benefits, perceived barriers, and cues-to-action were positively associated with the likelihood of adherence or advocacy of COVID-19 recommendations among cancer patients, whereas perceived susceptibility and self-efficacy were negatively associated with the likelihood of adherence or advocacy of COVID-19 recommendations among cancer patients. Perceived benefits may be the strongest predictor for adherence and advocacy for specific COVID-19 guidelines. Future messaging and educational campaigns focused on improving adherence to or advocacy of specific health behaviors should be informed by the HBM and originate from multiple outlets.

Temporal and spatial trends and determinants of aggressive prostate cancer among Black and White men with prostate cancer.

PURPOSE: Few studies have reported temporal and spatial trends of aggressive prostate cancer (PC) among black men who are known to have more aggressive disease. We examined these trends for highly aggressive PC at diagnosis among black and white men in Pennsylvania (PA). METHODS: Men, aged ≥ 40 years, with a primary, clinical PC diagnosis were identified from the Pennsylvania Cancer Registry, 2004-2014. Joinpoint analysis was used to evaluate the temporal trend of highly aggressive PC (clinical/pathologic Gleason score ≥ 7 [4 + 3], clinical/pathologic tumor stage ≥ T3, or distant metastasis) and identify change points by race in which annual percent change (APC) was calculated. Logistic regression analyses were used to examine the association between race and highly aggressive PC, after adjusting for covariates with and without spatial dependence. RESULTS: There were 89,133 PC cases, which included 88.7% white and 11.3% black men. The APC of highly aggressive PC was 8.7% from 2011 to 2014 among white men and 3.6% from 2007 to 2014 among black men (p values ≤ 0.01). The greatest odds of having highly aggressive PC among black compared to white men were found in counties where the black male population was ≤ 5.3%. CONCLUSIONS: Highly aggressive PC increased for both black and white men in PA between 2004 and 2014. Black men had more aggressive disease, with the greatest odds in counties where the black male population was small. The increase in highly aggressive PC may be due to less screening for PC, resulting in more advanced disease at diagnosis.

Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004-2014.

BACKGROUND: Spatial heterogeneity of prostate cancer-specific mortality in Pennsylvania remains unclear. We utilized advanced geospatial survival regressions to examine spatial variation of prostate cancer-specific mortality in PA and evaluate potential effects of individual- and county-level risk factors. METHODS: Prostate cancer cases, aged ≥40 years, were identified in the 2004-2014 Pennsylvania Cancer Registry. The 2018 County Health Rankings data and the 2014 U.S. Environmental Protection Agency's Environmental Quality Index were used to extract county-level data. The accelerated failure time models with spatial frailties for geographical correlations were used to assess prostate cancer-specific mortality rates for Pennsylvania and by the Penn State Cancer Institute (PSCI) 28-county catchment area. Secondary assessment based on estimated spatial frailties was conducted to identify potential health and environmental risk factors for mortality. RESULTS: There were 94,274 cases included. The 5-year survival rate in PA was 82% (95% confidence interval, CI: 81.1-82.8%), with the catchment area having a lower survival rate 81% (95% CI: 79.5-82.6%) compared to the non-catchment area rate of 82.3% (95% CI: 81.4-83.2%). Black men, uninsured, more aggressive prostate cancer, rural and urban Appalachia, positive lymph nodes, and no definitive treatment were associated with lower survival. Several county-level health (i.e., poor physical activity) and environmental factors in air and land (i.e., defoliate chemical applied) were associated with higher mortality rates. CONCLUSIONS: Spatial variations in prostate cancer-specific mortality rates exist in Pennsylvania with a higher risk in the PSCI's catchment area, in particular, rural-Appalachia. County-level health and environmental factors may contribute to spatial heterogeneity in prostate cancer-specific mortality.

Rural-urban differences in meeting physical activity recommendations and health status in cancer survivors in central Pennsylvania.

PURPOSE: This study explored rural-urban differences in meeting physical activity (PA) recommendations and health status in cancer survivors in central Pennsylvania and associations between PA and health status. METHODS: Cancer survivors (N = 2463) were identified through a state cancer registry and mailed questionnaires assessing PA and health status. Rural-urban residence was based on county of residence at diagnosis. Participants self-reported frequency and duration of leisure-time PA and were classified as meeting: (1) aerobic recommendations (≥ 150 min/week), (2) muscle-strengthening recommendations (≥ 2 times/week), (3) both aerobic and muscle-strengthening recommendations, or (4) neither recommendation. Logistic regression models examined associations between rural-urban residence and meeting PA recommendations and associations between PA and health status, adjusting for age, cancer type, gender, and income. RESULTS: Nearly 600 (N = 591, 24.0%) cancer survivors returned completed questionnaires (rural 9.5%, urban 90.5%). Half (50.0%) of rural cancer survivors reported no leisure-time PA compared to 35.2% of urban cancer survivors (p = 0.020), and urban cancer survivors were 2.6 times more likely to meet aerobic PA recommendations (95% CI 1.1-6.4). Odds of reporting good physical and mental health were 2.3 times higher among survivors who reported meeting aerobic recommendations compared to those who did not meet PA recommendations (95% CI 1.1-4.5), adjusting for rurality and covariates. CONCLUSIONS: Results demonstrate persistent rural-urban differences in meeting PA recommendations in cancer survivors and its association with self-reported health. IMPLICATIONS FOR CANCER SURVIVORS: Findings underscore the need for interventions to increase PA in rural cancer survivors in an effort to improve health status and reduce cancer health disparities.

Rural-urban differences in the association between individual, facility, and clinical characteristics and travel time for cancer treatment.

BACKGROUND: Greater travel time to cancer care has been identified as a potential barrier to care as well as associated with worse health outcomes. While rural cancer patients have been shown to travel farther for care, it is not known what patient, facility, and clinical characteristics may differentially be associated with greater roundtrip travel times for cancer patients by rurality of residence. Identifying these factors will help providers understand which patients may be most in need of resources to assist with travel. METHODS: Using 2010-2014 Pennsylvania Cancer Registry data, we examined the association between patient, facility, and clinical characteristics with roundtrip patient travel time using multivariate linear regression models. We then estimated separate models by rural residence based on the Rural-Urban Continuum Code (RUCC) of a patient's county of residence at diagnosis to understand how the association of each factor with travel time may vary for patients separated into metro residents (RUCC 1-3); and two categories of non-metro residents (RUCC 4-6) and (RUCC 7-9). RESULTS: In our sample (n = 197,498), we document large differences in mean roundtrip travel time-mean 41.5 min for RUCC 1-3 patients vs. 128.9 min for RUCC 7-9 patients. We show cervical/uterine and ovarian cancer patients travel significantly farther; as do patients traveling to higher volume and higher-ranked hospitals. CONCLUSIONS: To better understand patient travel burden, providers need to understand that factors predicting longer travel time may vary by rurality of patient residence and cancer type.

Diabetes Status and Being Up-to-Date on Colorectal Cancer Screening, 2012 Behavioral Risk Factor Surveillance System.

INTRODUCTION: Although screening rates for colorectal cancer are increasing, 22 million Americans are not up-to-date with recommendations. People with diabetes are an important and rapidly growing group at increased risk for colorectal cancer. Screening status and predictors of being up-to-date on screening are largely unknown in this population. METHODS: This study used logistic regression modeling and data from the 2012 Behavioral Risk Factor Surveillance System to examine the association between diabetes and colorectal cancer screening predictors with being up-to-date on colorectal cancer screening according to criteria of the US Preventive Services Task Force for adults aged 50 or older. State prevalence rates of up-to-date colorectal cancer screening were also calculated and mapped. RESULTS: The prevalence of being up-to-date with colorectal cancer screening for all respondents aged 50 or older was 65.6%; for respondents with diabetes, the rate was 69.2%. Respondents with diabetes were 22% more likely to be up-to-date on colorectal cancer screening than those without diabetes. Among those with diabetes, having a routine checkup within the previous year significantly increased the odds of being up-to-date on colorectal cancer screening (odds ratio, 1.90). Other factors such as age, income, education, race/ethnicity, insurance status, and history of cancer were also associated with up-to-date status. CONCLUSION: Regardless of diabetes status, people who had a routine checkup within the past year were more likely to be up-to-date than people who had not. Among people with diabetes, the duration between routine checkups may be of greater importance than the frequency of diabetes-related doctor visits. Continued efforts should be made to ensure that routine care visits occur regularly to address the preventive health needs of patients with and patients without diabetes.

Using client reminders to increase colorectal cancer screening in Montana, 2012.

BACKGROUND: Colorectal cancer (CRC) is the third leading cause of cancer death for men and women in the United States. CRC screening can save lives by detecting precancerous polyps that are then removed or by detecting cancer early when treatment is most effective. COMMUNITY CONTEXT: CRC screening participation in Montana is low. To increase screening participation among Montanans with health insurance, the Montana Cancer Control Programs (MCCP) partnered with a small association health organization (AHO). This partnership implemented a postcard campaign to increase CRC screening participation among the AHO's enrollees. METHODS: Postcards were sent to 1,011 people insured through the AHO; 504 people were mailed 1 postcard and 507 people were mailed 2 postcards. Evaluation of the campaign assessed recall of the campaign among people who received 1 postcard versus people who received 2 postcards. OUTCOME: Women were 60% more likely to recall receiving the postcards than were men. People who received 2 postcards were 2.3 times as likely to recall receiving them as were people who received 1 postcard. INTERPRETATION: The MCCP considers this collaborative project with an AHO a promising approach to implementing evidence-based colorectal cancer screening interventions. The MCCP plans to partner with additional AHOs in Montana to evaluate CRC screening participation among their enrollees.

Prevalence of diabetes and associated obesity in Pennsylvania adults, 1995-2010.

INTRODUCTION: This study examined trends in the prevalence and sociodemographic distributions of diabetes and the associations of diabetes with obesity over time in adult Pennsylvanians from 1995 through 2010. METHODS: We used Behavioral Risk Factor Surveillance Survey data collected from 1995 through 2010. Diabetes prevalence was assessed by self-report of physician diagnosis. Obesity was assessed by body mass index computed from self-report of height and weight. State-level data for diabetes and associated obesity prevalence from 1995 through 2010 were collected for each year. Data on sociodemographic factors (age, sex, race, income, education) and 1 known disease risk factor (obesity) were also collected. Logistic regression modeling was used to examine associations between diabetes, sociodemographic factors, and obesity. RESULTS: Diabetes prevalence in Pennsylvania, which increased from 5.6% in 1995 to 10.5% in 2010, followed national trends but exceeded the national prevalence each year by approximately 0.6 percentage points for 12 of the 16 years. The increase in prevalence was not equal across all socioeconomic groups. Obesity became a more dominant risk factor for diabetes during these 16 years. CONCLUSION: The burden of diabetes and obesity in Pennsylvania is substantial and increasing. Program managers and policy makers in Pennsylvania should consider these trends when allocating limited resources and designing programs for reducing diabetes-related illness. Other states may consider similar studies to monitor the prevalence of diabetes and determine whether disparities are changing and whether programs and resources should also shift.

Patterns of Cancer-Related Healthcare Access across Pennsylvania: Analysis of Novel Census Tract-Level Indicators of Persistent Poverty.

BACKGROUND: Persistent poverty census tracts have had ≥20% of the population living below the federal poverty line for 30+ years. We assessed the relationship between persistent poverty and cancer-related healthcare access across census tracts in Pennsylvania. METHODS: We gathered publicly available census tract-level data on persistent poverty, rurality, and sociodemographic variables, as well as potential access to healthcare (i.e., prevalence of health insurance, last-year check-up), realized access to healthcare (i.e., prevalence of screening for cervical, breast, and colorectal cancers), and self-reported cancer diagnosis. We used multivariable spatial regression models to assess the relationships between persistent poverty and each healthcare access indicator. RESULTS: Among Pennsylvania's census tracts, 2,789 (89.8%) were classified as non-persistent poverty, and 316 (10.2%) were classified as persistent poverty (113 did not have valid data on persistent poverty). Persistent poverty tracts had lower prevalence of health insurance [estimate = -1.70, standard error (SE) = 0.10], screening for cervical cancer (estimate = -4.00, SE = 0.17) and colorectal cancer (estimate = -3.13, SE = 0.20), and cancer diagnosis (estimate = -0.34, SE = 0.05), compared with non-persistent poverty tracts (all P < 0.001). However, persistent poverty tracts had higher prevalence of last-year check-up (estimate = 0.22, SE = 0.08) and screening for breast cancer (estimate = 0.56, SE = 0.15; both P < 0.01). CONCLUSIONS: Relationships between persistent poverty and cancer-related healthcare access outcomes differed in direction and magnitude. Health promotion interventions should leverage data at fine-grained geographic units (e.g., census tracts) to motivate focus on communities or outcomes. IMPACT: Future studies should extend these analyses to other states and outcomes to inform public health research and interventions to reduce geographic disparities.

Relationship Between Availability of Urologists and Primary Care Providers and Stage of Diagnosis for Invasive Urinary Bladder Cancer.

INTRODUCTION: With no recommended screening approach, urinary bladder cancer patients rely on referral to urologists to ensure timely diagnosis of bladder cancer. This requires coordination between primary and specialty care. We provide estimates of the relative association between primary care physician and urologist density on stage of urinary bladder cancer diagnosis. METHODS: We used 2010 to 2016 Pennsylvania Cancer Registry data to identify all adult patients diagnosed with bladder cancer. Our primary outcome was locoregional stage of diagnosis, since treatment modality changes and prognosis worsens beyond this stage. Based on patient's residential location at the time of diagnosis we defined both density of urologists and number of primary care providers (defined as providers per population) within the patient's county. We used univariate and multivariate logistic regression to estimate the association between provider density and likelihood of locoregional stage of diagnosis. We also controlled for age, sex, race/ethnicity, insurance type, and year. RESULTS: Our sample included 11,771 urinary bladder cancer patients with 10,607 diagnosed at locoregional stage and 1164 at distant stage. Multivariate regression results show primary care density was associated with significantly higher odds of locoregional stage of diagnosis (odds ratio of 1.05 [95% CI: 1.02-1.08]) while urologist density was associated with significantly lower odds of locoregional stage (odds ratio of 0.65 [95% CI: 0.48-0.89]). CONCLUSIONS: We found primary care density but not urologist density was associated with earlier stage of diagnosis, highlighting the importance of access to primary care and need for timely referral to urologic care.

Adaptation of an evidence-based intervention for Appalachian women: new STEPS (Strength Through Education, Physical fitness and Support) for breast health.

Appalachia is characterized by a high prevalence of individual-level risks for breast cancer, including physical inactivity and postmenopausal obesity. The availability of local, evidence-based programs to improve physical fitness is limited. We adapted an evidence-based intervention, StrongWomen, to improve physical fitness and increase breast cancer knowledge among women 40 years and older in Appalachian Pennsylvania. Utilizing a multi-site, community-based design, we tested the adapted 12-week, supervised program-New STEPS (Strength Through Education, Physical fitness and Support)-among 139 women. The completion rate was 67.6 %. Pre/post scores improved for each of six fitness assessments (P<0.01). We found differences in overall fitness by study site (P<0.001), but no differences by age (P=0.13) or by previous breast cancer diagnosis (P=0.73). New STEPS is an adapted, evidence-based program that can improve physical fitness and breast cancer awareness among women in Appalachian Pennsylvania. New STEPS may help fill a void in local fitness programs for Appalachian women at risk for breast cancer or breast cancer recurrence.

Responses to a theoretically adapted clinical trial education session: faith-based sites versus rural work site dissemination.

The process for advancing biomedical knowledge depends upon recruiting an adequate and representative sample of individuals to voluntarily participate in research studies. A consistent personal barrier to cancer clinical trial participation is the lack of awareness and understanding related to trial availability, and the prevention and treatment roles participation represents. In particular, comprehensive community-based approaches to recruit and educate rural residents are needed. Moreover, consistent under representation of priority populations should be addressed with innovative outreach to collaborate in identifying culturally meaningful approaches. A theoretically adapted version of a component of the National Cancer Institute's "Clinical Trial Education Series" was assessed via educational sessions delivered through work sites and churches. From eight focus groups with 90 participants, we found that church leaders, congregants, and community members were receptive to education on cancer research, increased their short-term knowledge about it, and intent to participate in cancer studies, decreased their current anxiety about clinical trials participation, and provided specific suggestions for further adapting the educational session to be even more culturally relevant. These outcomes provide evidence to support the effectiveness of future customized recruitment strategies embedded within a community or faith-based environment that may increase knowledge, decrease anxiety and intent to actual participation in cancer studies, as well as impact study representativeness and address causes of health disparities.

LionVu: A Data-Driven Geographical Web-GIS Tool for Community Health and Decision-Making in a Catchment Area.

In 2018, the Penn State Cancer Institute developed LionVu, a web mapping tool to educate and inform community health professionals about the cancer burden in Pennsylvania and its catchment area of 28 counties in central Pennsylvania. LionVu, redesigned in 2023, uses several open-source JavaScript libraries (i.e., Leaflet, jQuery, Chroma, Geostats, DataTables, and ApexChart) to allow public health researchers the ability to map, download, and chart 21 publicly available datasets for clinical, educational, and epidemiological audiences. County and census tract data used in choropleth maps were all downloaded from the sources website and linked to Pennsylvania and catchment area county and census tract geographies, using a QGIS plugin and Leaflet JavaScript. Two LionVu demonstrations are presented, and 10 other public health related web-GIS applications are reviewed. LionVu fills a role in the public health community by allowing clinical, educational, and epidemiological audiences the ability to visualize and utilize health data at various levels of aggregation and geographical scales (i.e., county, or census tracts). Also, LionVu is a novel application that can translate and can be used, for mapping and graphing purposes. A dialog to demonstrate the potential value of web-based GIS to a wider audience, in the public health research community, is needed.

Assessing the Feasibility of a Faith-Based Colorectal Cancer Education and Screening Intervention for Latino Men in Pennsylvania.

Introduction: Limited health knowledge, literacy, engagement in preventive health services, participation in health promotion behaviors, and cultural factors place Latino men at high risk for colorectal cancer (CRC). This pilot study aimed to determine the feasibility and acceptability of a faith-based cancer education intervention focusing on Latino men between 45 and 74 years old. Methods: This pilot study used a single group pre- and post-intervention research design to compare changes in knowledge, perceived benefit of screening, perceived susceptibility and severity of CRC, and the completion of CRC screening after the intervention. Results: In this study, Latino men were willing to participate in a CRC educational intervention supported by a faith-based institution. The participants had limited knowledge about CRC, yet most recognized that screening is beneficial and that getting CRC is serious. Sixty percent of the participants completed the fecal immunochemical screening test, which showed that the intervention impacted the screening uptake among this group. Conclusion: The findings of this study support the further development of faith-based interventions focusing on Latino men.

The Impact of the COVID-19 Pandemic on Cancer Mortality in Pennsylvania: A Retrospective Study with Geospatial Analysis.

BACKGROUND: We sought to quantify the impact of the COVID-19 pandemic on cancer mortality and identify associated factors in Pennsylvania. METHODS: The retrospective study analyzed cross-sectional cancer mortality data from CDC WONDER for 2015 through 2020 for Pennsylvania and its 67 counties. The spatial distributions of 2019, 2020, and percentage change in age-adjusted mortality rates by county were analyzed via choropleth maps and spatial autocorrelation. A Wilcoxon Signed Rank Test was used to analyze whether the rates differed between 2019 and 2020. Quasi-Poisson and geographically weighted regression at the county level were used to assess the association between the 2019 rates, sex (percent female), race (percent non-White), ethnicity (percent Hispanic/Latino), rural-urban continuum codes, and socioeconomic status with the 2020 rates. RESULTS: At the state level, the rate in 2020 did not reflect the declining annual trend (-2.7 per 100,000) in the rate since 2015. Twenty-six counties had an increase in the rate in 2020. Of the factors examined, the 2019 rates were positively associated with the 2020 rates, and the impact of sociodemographic and geographic factors on the 2020 rates varied by county. CONCLUSIONS: In Pennsylvania, the 2020 cancer mortality rates did not decline as much as reported before the COVID-19 pandemic. The top five cancer types by rate were the same type for 2019 and 2020. Future cancer control efforts may need to address the impact of the COVID-19 pandemic on trends and geospatial distribution in cancer mortality.

Current Approaches to Serving Catchment Areas in Cancer Centers: Insights from the Big Ten Cancer Research Consortium Population Science Working Group.

In 2021, the NCI issued updated guidance clarifying the mission and organizational structure for Community Outreach and Engagement (COE) for Cancer Center Support Grants. These guidelines outlined how cancer centers should address the cancer burden of the catchment area (CA) and define how COE would partner with the community to inform cancer research and implement programs to reduce the cancer burden. In this paper, the Common Elements Committee of the Population Science Working Group in the Big Ten Cancer Research Consortium describes their respective approaches to implementing these guidelines. We discuss our definitions and rationales for each CA, data sources used, and our approach to assessing the impact of COE efforts on the burden of cancer in our respective CA. Importantly, we describe methods of translating unmet CA needs into our cancer-relevant outreach activities, and cancer research addressing the needs of respective CAs. Implementing these new guidelines is a challenge, and we hope that sharing approaches and experiences will foster cross-center collaborations that may more effectively reduce the burden of cancer in the US and meet the mission of the NCI's Cancer Center Program.