A tale of many neighborhoods: Latent profile analysis to derive a national neighborhood typology for the US.

INTRODUCTION: Neighborhoods are complex and multi-faceted. Analytic strategies used to model neighborhoods should reflect this complexity, with the potential to better understand how neighborhood characteristics together impact health. We used latent profile analysis (LPA) to derive a residential neighborhood typology applicable for census tracts across the US. METHODS: From tract-level 2015-2019 American Community Survey (ACS) five-year estimates, we selected five indicators that represent four neighborhood domains: demographic composition, commuting, socioeconomic composition, and built environment. We compared model fit statistics for up to eight profiles to identify the optimal number of latent profiles of the selected neighborhood indicators for the entire US. We then examined differences in national tract-level 2019 prevalence estimates of physical and mental health derived from CDC's PLACES dataset between derived profiles using one-way analysis of variance (ANOVA). RESULTS: The 6-profile LPA model was the optimal categorization of neighborhood profiles based on model fit statistics and interpretability. Neighborhood types were distinguished most by demographic composition, followed by commuting and built environment domains. Neighborhood profiles were associated with meaningful differences in the prevalence of health outcomes. Specifically, tracts characterized as "Less educated non-immigrant racial and ethnic minority active transiters" (n = 3,132, 4%) had the highest poor health prevalence (Mean poor physical health: 18.6 %, SD: 4.30; Mean poor mental health: 19.6 %, SD: 3.85), whereas tracts characterized as "More educated metro/micropolitans" (n = 15, 250, 21%) had the lowest prevalence of poor mental and physical health (Mean poor physical health: 10.6 %, SD: 2.41; Mean poor mental health: 12.4 %, SD: 2.67; p < 0.001). CONCLUSION: LPA can be used to derive meaningful and standardized profiles of tracts sensitive to the spatial patterning of social and built conditions, with observed differences in mental and physical health by neighborhood type in the US.

Age at diagnosis and social risks among Black cancer survivors: Results from the Detroit Research on Cancer Survivors cohort.

BACKGROUND: Social risks are common among cancer survivors who have the fewest financial resources; however, little is known about how prevalence differs by age at diagnosis, despite younger survivors' relatively low incomes and wealth. METHODS: The authors used data from 3703 participants in the Detroit Research on Cancer Survivors (ROCS) cohort of Black cancer survivors. Participants self-reported several forms of social risks, including food insecurity, housing instability, utility shut-offs, not getting care because of cost or lack of transportation, and feeling unsafe in their home neighborhood. Modified Poisson models were used to estimate prevalence ratios and 95% confidence intervals (CIs) of social risks by age at diagnosis, controlling for demographic, socioeconomic, and cancer-related factors. RESULTS: Overall, 35% of participants reported at least one social risk, and 17% reported two or more risks. Social risk prevalence was highest among young adults aged 20-39 years (47%) followed by those aged 40-54 years (43%), 55-64 years (38%), and 65 years and older (24%; p for trend < .001). Compared with survivors who were aged 65 years and older at diagnosis, adjusted prevalence ratios for any social risk were 1.75 (95% CI, 1.42-2.16) for survivors aged 20-39 years, 1.76 (95% CI, 1.52-2.03) for survivors aged 40-54 years, and 1.41 (95% CI, 1.23-1.60) for survivors aged 55-64 years at diagnosis. Similar associations were observed for individual social risks and experiencing two or more risks. CONCLUSIONS: In this population of Black cancer survivors, social risks were inversely associated with age at diagnosis. Diagnosis in young adulthood and middle age should be considered a risk factor for social risks and should be prioritized in work to reduce the financial effects of cancer on financially vulnerable cancer survivors.

Prevalence Estimates of Arthritis and Activity-Limiting Pain Among Family Caregivers to Older Adults.

BACKGROUND AND OBJECTIVES: Little is known about the prevalence of physical pain among family caregivers to older adults. We used national survey data to assess the relative prevalence of caregivers' arthritis and activity-limiting bothersome pain by caregiver and care-recipient characteristics to identify which caregivers may be at a higher risk for physical pain. RESEARCH DESIGN AND METHODS: We analyzed data collected from 1,930 caregivers who participated in the National Study on Caregiving (2017). We utilized modified Poisson models to estimate adjusted associations of caregiver and care-recipient characteristics with the relative prevalence of arthritis and bothersome pain. RESULTS: Forty percent of caregivers had a lifetime diagnosis of arthritis. Seventy-five percent of caregivers with arthritis reported bothersome pain, nearly 30% of whom endorsed bothersome pain that limited their activities on most or every day of the previous month (i.e., activity-limiting bothersome pain). Regardless of whether they had arthritis, 51% of the sample reported bothersome pain in the previous month, 24% of whom indicated activity-limiting bothersome pain. Caregivers who were older or more highly educated had a higher prevalence of arthritis. Black caregivers had a lower prevalence of arthritis and activity-limiting bothersome pain compared to White caregivers. Caregivers with physical difficulty providing care had a higher prevalence of arthritis and activity-limiting bothersome pain than caregivers without physical difficulty providing care. DISCUSSION AND IMPLICATIONS: Arthritis and activity-limiting bothersome pain are highly prevalent among caregivers. Given increased prevalence of pain among certain caregivers, it may be efficient to target these groups for pain management interventions.

Housing instability and psychological distress in African American cancer survivors: findings from the Detroit Research on Cancer Survivors study.

PURPOSE: As health care systems seek to screen for and address housing instability in patient populations, robust evidence linking unstable housing to patient-reported outcomes is needed. Housing instability may increase psychological distress in cancer survivors, potentially more so among African American cancer survivors who are also likely to experience disproportionate burden of housing instability. The purpose of this analysis was to estimate associations between housing instability and psychological distress in African Americans diagnosed with cancer. METHODS: We included survey responses from 2875 African American cancer survivors in the Detroit Research on Cancer Survivors (ROCS) study. We examined how housing instability at enrollment, using an item adapted from the Health Leads Screening Toolkit, related to psychological distress at enrollment, using Patient Reported Outcomes Measurement System (PROMIS) 4-item anxiety and depression short forms. Linear regression models adjusted for sociodemographic factors were used to estimate associations overall and stratified by stage at diagnosis. RESULTS: Approximately 12% of participants reported being unstably housed. Housing instability was associated with significant differences in PROMIS scores for both anxiety (difference: 6.79; 95% CI: 5.57-8.01) and depression (difference: 6.16; 95% CI: 4.99-7.34). We did not find meaningful differences stratifying by disease stage. CONCLUSION: Housing instability was experienced by over a tenth of this cohort of African American cancer survivors and was related to statistically and clinically meaningful differences in psychological distress even following adjustment for sociodemographics. IMPLICATIONS FOR CANCER SURVIVORS: These findings provide evidence supporting screening of housing instability in cancer survivors, especially those from medically underserved populations.

Effects of Medical Cannabis Certification on Hospital Use by Individuals with Sickle Cell Disease.

Context: Retrospective study of 36 individuals with sickle cell disease (SCD) certified for medical cannabis. Objective: We sought to examine whether medical cannabis certification was associated with a change in utilization of acute care medical services for patients with SCD. Methods: We identified patients with SCD certified for medical cannabis use between July 2014 and December 2021 using the New York State Prescription Monitoring Program (NYS PMP) and cross-matching to our electronic medical record. We estimated the mean incidences of Emergency Department (ED) visits, hospital admissions, inpatient days, and total acute encounters for SCD-related pain per month pre- and post-medical cannabis certification and used paired t-tests to assess the statistical significance of changes in hospital use. We stratified incidence based on whether patients had received a bone marrow transplant (BMT) at any point before or during the research period, since BMT is potentially an important covariate. Recertification rates and patients' reasons for choosing to recertify were qualitatively investigated through retrospective chart review. Results: The incidence of ED visits, hospital admissions, and total acute encounters per month for SCD-related pain decreased pre- to post-certification (p=0.02; p=0.02; p=0.01). These decreases lost statistical significance after stratifying patients based on BMT history. There was no statistically significant change in the number of days per month patients spent hospitalized in either the primary analysis or after stratification by BMT status. Forty-four percent of patients chose to be recertified. Thirty-six percent of patients cited concerns regarding the cost of medical cannabis. Conclusion: Our study did not show a statistically significant relationship between certification for medical cannabis and hospital use after addressing BMT history as a potentially important covariate. However, we were likely underpowered to detect any existing difference after patient data were stratified due to our small sample size. Regardless, 44% of patients chose to be recertified, indicating a perceived benefit and utility in further investigation of medical cannabis for this population with a larger analytic sample. Patient-reported benefits were improvement of pain and other symptoms, decreased opiate requirements, and decreased side effects compared to opiates.

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

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

Neighborhood walkability and body mass index in African American cancer survivors: The Detroit Research on Cancer Survivors study.

BACKGROUND: Extant evidence links neighborhood walkability with obesity-related health in the general population. This association likely exists in cancer survivors, but research is limited. Furthermore, a disproportionate obesity burden in African American cancer survivors warrants subgroup-specific analyses. METHODS: This study analyzed data from 2089 African American cancer survivors participating in the Detroit Research on Cancer Survivors (ROCS) cohort. On the basis of built environment data summarized within 1-km radial buffers around census block centroids, a multidimensional neighborhood walkability index (NWI) was constructed. Survivors' residential addresses at Detroit ROCS enrollment were geocoded, and addresses were linked to NWI scores via the census block of residence. At study enrollment, survivors reported height and weight; these data were used to calculate their body mass index (BMI). Associations between NWI quartiles and BMI overall and by cancer type, biological sex, and physical activity engagement were evaluated. RESULTS: BMI was found to be inversely associated with increasing NWI quartile (P for trend < .01). This inverse relationship was observed in men (P for trend < .01) and in survivors reporting any regular physical activity (P for trend < .01). CONCLUSIONS: This study's findings suggest that among African American cancer survivors, higher neighborhood walkability is associated with lower BMI. As health care systems in the United States increasingly consider the role of the neighborhood environment in their patients' health, these findings provide additional evidence supporting health systems' incorporation of neighborhood walkability as an obesity-related health indicator for this cancer survivor subgroup and potentially for cancer survivors from other vulnerable populations.

Associations of Household Income with Health-Related Quality of Life Following a Colorectal Cancer Diagnosis Varies With Neighborhood Socioeconomic Status.

BACKGROUND: Existing evidence indicates household income as a predictor of health-related quality of life (HRQoL) following a colorectal cancer diagnosis. This association likely varies with neighborhood socioeconomic status (nSES), but evidence is limited. METHODS: We included data from 1,355 colorectal cancer survivors participating in the population-based Puget Sound Colorectal Cancer Cohort (PSCCC). Survivors reported current annual household income; we measured HRQoL via the Functional Assessment of Cancer Therapy - Colorectal (FACT-C) tool. Using neighborhood data summarized within a 1-km radial buffer of Census block group centroids, we constructed a multidimensional nSES index measure. We employed survivors' geocoded residential addresses to append nSES score for Census block group of residence. With linear generalized estimating equations clustered on survivor location, we evaluated associations of household income with differences in FACT-C mean score, overall and stratified by nSES. We used separate models to explore relationships for wellbeing subscales. RESULTS: We found lower household income to be associated with clinically meaningful differences in overall FACT-C scores [<$30K: -13.6; 95% confidence interval (CI): -16.8 to -10.4] and subscale wellbeing after a recent colorectal cancer diagnosis. Relationships were slightly greater in magnitude for survivors living in lower SES neighborhoods. CONCLUSIONS: Our findings suggest that recently diagnosed lower income colorectal cancer survivors are likely to report lower HRQoL, and modestly more so in lower SES neighborhoods. IMPACT: The findings from this work will aid future investigators' ability to further consider the contexts in which the income of survivors can be leveraged as a means of improving HRQoL.

Prediagnosis social support, social integration, living status, and colorectal cancer mortality in postmenopausal women from the women's health initiative.

BACKGROUND: We evaluated associations between perceived social support, social integration, living alone, and colorectal cancer (CRC) outcomes in postmenopausal women. METHODS: The study included 1431 women from the Women's Health Initiative who were diagnosed from 1993 through 2017 with stage I through IV CRC and who responded to the Medical Outcomes Study Social Support survey before their CRC diagnosis. We used proportional hazards regression to evaluate associations of social support (tertiles) and types of support, assessed up to 6 years before diagnosis, with overall and CRC-specific mortality. We also assessed associations of social integration and living alone with outcomes also in a subset of 1141 women who had information available on social ties (marital/partner status, community and religious participation) and living situation. RESULTS: In multivariable analyses, women with low (hazard ratio [HR], 1.52; 95% CI, 1.23-1.88) and moderate (HR, 1.21; 95% CI, 0.98-1.50) perceived social support had significantly higher overall mortality than those with high support (P [continuous] < .001). Similarly, women with low (HR, 1.42; 95% CI, 1.07-1.88) and moderate (HR, 1.28; 95% CI, 0.96-1.70) perceived social support had higher CRC mortality than those with high social support (P [continuous] = .007). Emotional, informational, and tangible support and positive interaction were all significantly associated with outcomes, whereas affection was not. In main-effects analyses, the level of social integration was related to overall mortality (P for trend = .02), but not CRC mortality (P for trend = .25), and living alone was not associated with mortality outcomes. However, both the level of social integration and living alone were related to outcomes in patients with rectal cancer. CONCLUSIONS: Women with low perceived social support before diagnosis have higher overall and CRC-specific mortality.

Leptin gene variants and colorectal cancer risk: Sex-specific associations.

BACKGROUND: High levels of serum leptin and low levels of serum adiponectin are strongly correlated with obesity, a well-established risk factor for colorectal cancer (CRC). Growing evidence suggests that dysregulation of leptin and adiponectin levels may play an etiological role in colorectal carcinogenesis. We evaluated 20 candidate variants in 4 genes previously shown to alter serum leptin and adiponectin levels for associations with obesity (BMI>30 kg/m2) and CRC risk. METHODS: We analyzed 6,246 CRC cases and 7,714 population-based controls from 11 studies within the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Associations of each variant with obesity or CRC were evaluated using multivariate logistic regression models stratified by sex and adjusted for age, a study variable, and the first three principal components of genetic ancestry. Gene-specific False Discovery Rate (FDR)-adjusted p-values <0.05 denoted statistical significance. RESULTS: Two variants in the leptin gene showed statistically significant associations with CRC among women: LEP rs2167270 (OR = 1.13, 95% CI: 1.06-1.21) and LEP rs4731426 (OR = 1.09, 95% CI: 1.02-1.17). These associations remained significant after adjustment for obesity, suggesting that leptin SNPs may influence CRC risk independent of obesity. We observed statistically significant interactions of the leptin variants with hormone replacement therapy (HRT) for CRC risk; these variant associations were strengthened when analyses were restricted to post-menopausal women with low estrogen exposure, as estimated by 'never use' of HRT and/or non-obese BMI. No variants were associated with CRC among men. CONCLUSIONS: Leptin gene variants may exhibit sex-specific associations with CRC risk. Endogenous and exogenous estrogen exposure may modify the association between these variants, leptin levels, and CRC risk.

Stage IV colorectal cancer primary site and patterns of distant metastasis.

BACKGROUND: Although colorectal cancer (CRC) usually metastasizes to the liver and/or lungs, factors influencing the anatomic pattern of metastases remain poorly understood. METHODS: We assessed the relationship between primary CRC site and pattern of synchronous metastasis among 1202 individuals diagnosed with incident metastatic CRC between 2010 and 2014 and identified through the Seattle-Puget Sound Surveillance, Epidemiology, and End Results (SEER) registry. Polytomous logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for the association between primary tumor site and synchronous metastatic pattern. RESULTS: Compared to patients with proximal colon primaries, patients with rectal primaries were more likely to present with lungs-only or liver and lungs metastases versus liver-only metastases (ORlungs-onlyvs.liver-only: 2.39, 95% CI: 1.35-4.24, ORliver+lungsvs.liver-only: 2.20, 95% CI: 1.46-3.32). CONCLUSION: These findings suggest that patients with rectal primaries are more likely than patients with colon primaries to present with synchronous lung metastases.

Prediagnostic alcohol consumption and colorectal cancer survival: The Colon Cancer Family Registry.

BACKGROUND: Although previous studies have noted an increased risk of colorectal cancer (CRC) among moderate to heavy alcohol consumers in comparison with nondrinkers, the relation between alcohol consumption and CRC survival remains unclear. METHODS: Cases of incident invasive CRC diagnosed between 1997 and 2007 were identified via population-based cancer registries at 4 study sites in the Colon Cancer Family Registry. Study participants completed a risk-factor questionnaire on prediagnostic behaviors, including wine, beer, and liquor consumption, at the baseline. Prospective follow-up for survival was conducted for 4966 CRC cases. Cox regression was used to compare nondrinkers with individuals who consumed, on average, 1 or more servings of alcohol per day in the years preceding their CRC diagnosis with respect to overall and disease-specific survival. Separate analyses by beverage type, stratified by patient and tumor attributes, were also performed. All models were adjusted for the age at diagnosis, sex, study site, year of diagnosis, smoking history, body mass index, and education. RESULTS: Prediagnostic beer and liquor consumption was not associated with CRC survival; however, higher levels of wine consumption were modestly associated with a better prognosis overall (CRC-specific hazard ratio [HR], 0.70, 95% confidence interval [CI], 0.48-1.03; overall HR, 0.70; 95% CI, 0.53-0.94). Similar patterns were noted in stratified analyses. CONCLUSIONS: These findings suggest that prediagnostic wine consumption is modestly associated with more favorable survival after CRC. Cancer 2017;123:1035-43. © 2016 American Cancer Society.

Using MapMyFitness to Place Physical Activity into Neighborhood Context.

It is difficult to obtain detailed information on the context of physical activity at large geographic scales, such as the entire United States, as well as over long periods of time, such as over years. MapMyFitness is a suite of interactive tools for individuals to track their workouts online or using global positioning system in their phones or other wireless trackers. This method article discusses the use of physical activity data tracked using MapMyFitness to examine patterns over space and time. An overview of MapMyFitness, including data tracked, user information, and geographic scope, is explored. We illustrate the utility of MapMyFitness data using tracked physical activity by users in Winston-Salem, NC, USA between 2006 and 2013. Types of physical activities tracked are described, as well as the percent of activities occurring in parks. Strengths of MapMyFitness data include objective data collection, low participant burden, extensive geographic scale, and longitudinal series. Limitations include generalizability, behavioral change as the result of technology use, and potential ethical considerations. MapMyFitness is a powerful tool to investigate patterns of physical activity across large geographic and temporal scales.