Abstract PR04: Engaging in physical activity after a cancer diagnosis: A Detroit ROCS study

Background: The benefit of regular exercise in improving cancer outcomes is well established. In 2012, the American Cancer Society (ACS) released a recommendation statement that cancer survivors should engage in regular physical activity (PA) as soon as possible after a cancer diagnosis with the goal of engaging in at least 150 minutes per week of moderate to vigorous PA (1). However, few cancer survivors report meeting this recommendation (2). Using data from the Detroit Research on Cancer Survivors (ROCS) study, we examined the patterns of PA and its association with health-related quality of life (HRQOL) in a cohort of African American cancer survivors.

Methods: Detroit ROCS participants complete baseline and yearly follow-up surveys to update their health and provide information on health behaviors including PA, using the International Physical Activity Questionnaire-short form. We assessed the number of survivors who reported participating in regular PA and those who reported ≥150 minutes of moderate to vigorous PA per week by select characteristics and reported HRQOL measured using the Functional Assessment in Cancer Therapy (FACT) and Patient-Reported Outcomes Measurement Information System (PROMIS) instruments.

Results: Among the first 1,000 ROCS participants, 58% reported participating in regular PA with just 22% reporting engaging in ≥150 minutes of PA per week. While there were no differences by sex, prostate cancer survivors were the most likely to report participating in regular PA while lung cancer survivors were the least likely (p=0.009). There was a positive relationship between self-reported education and area-level affluence based on US census data with PA (p<0.001 and p=0.019, respectively). Survivors who reported participating in regular PA also reported higher HRQOL (p<0.001) and lower depression (p=0.036). The same patterns were observed among those reporting ≥150 minutes of PA per week, and additionally we found lower reported anxiety among survivors who report meeting ACS guidelines (PROMIS-Cancer anxiety score, p<0.001). Among survivors who completed their first follow-up survey (N=389), a higher proportion of survivors reported participating in regular PA (71%, p<0.001) and getting ≥150 minutes of PA per week (32%, p<0.001).

Conclusions: Fewer than 25% of African American cancer survivors reported meeting the ACS guidelines for PA at baseline recruitment; however, it was encouraging to see significant increases in PA engagement over time. Given the established benefits associated with regular exercise and cancer outcomes, and the positive correlation on HRQOL and inverse relationship with depression observed in this study, identifying, understanding, and eliminating barriers to regular moderate to vigorous PA among African American cancer survivors is critical. Future study of ROCS subjects will attempt to establish the temporality of these relationships.

This abstract is also being presented as Poster C048.

Citation Format: Julie J. Ruterbusch, Ann G. Schwartz, Terrance Albrecht, Tara Baird, Dave Finlay, Felicity Harper, Stephanie Pandolfi, Julia Mantey, Andrew G. Rundle, Jennifer L. Beebe-Dimmer. Engaging in physical activity after a cancer diagnosis: A Detroit ROCS study [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr PR04.

Spatial predictive properties of built environment characteristics assessed by drop-and-spin virtual neighborhood auditing

Background

Virtual neighborhood audits have been used to visually assess characteristics of the built environment for health research. Few studies have investigated spatial predictive properties of audit item responses patterns, which are important for sampling efficiency and audit item selection. We investigated the spatial properties, with a focus on predictive accuracy, of 31 individual audit items related to built environment in a major Metropolitan region of the Northeast United States.

Methods

Approximately 8000 Google Street View (GSV) scenes were assessed using the CANVAS virtual audit tool. Eleven trained raters audited the 360^° view of each GSV scene for 10 sidewalk-, 10 intersection-, and 11 neighborhood physical disorder-related characteristics. Nested semivariograms and regression Kriging were used to investigate the presence and influence of both large- and small-spatial scale relationships as well as the role of rater variability on audit item spatial properties (measurement error, spatial autocorrelation, prediction accuracy). Receiver Operator Curve (ROC) Area Under the Curve (AUC) based on cross-validated spatial models summarized overall predictive accuracy. Correlations between predicted audit item responses and select demographic, economic, and housing characteristics were investigated.

Results

Prediction accuracy was better within spatial models of all items accounting for both small-scale and large- spatial scale variation (vs large-scale only), and further improved with additional adjustment for rater in a majority of modeled items. Spatial predictive accuracy was considered ‘Excellent’ (0.8 ≤ ROC AUC < 0.9) for full models of all but four items. Predictive accuracy was highest and improved the most with rater adjustment for neighborhood physical disorder-related items. The largest gains in predictive accuracy comparing large- + small-scale to large-scale only models were among intersection- and sidewalk-items. Predicted responses to neighborhood physical disorder-related items correlated strongly with one another and were also strongly correlated with racial-ethnic composition, socioeconomic indicators, and residential mobility.

Conclusions

Audits of sidewalk and intersection characteristics exhibit pronounced variability, requiring more spatially dense samples than neighborhood physical disorder audits do for equivalent accuracy. Incorporating rater effects into spatial models improves predictive accuracy especially among neighborhood physical disorder-related items.

Ridesharing and motor vehicle crashes: a spatial ecological case-crossover study of trip-level data

BACKGROUND

Ridesharing services (eg, Uber, Lyft) have facilitated over 11 billion trips worldwide since operations began in 2010, but the impacts of ridesharing on motor vehicle injury crashes are largely unknown.

- METHODS

This spatial ecological case-cross over used highly spatially and temporally resolved trip-level rideshare data and incident-level injury crash data for New York City (NYC) for 2017 and 2018. The space-time units of analysis were NYC taxi zone polygons partitioned into hours. For each taxi zone-hour we calculated counts of rideshare trip origins and rideshare trip destinations. Case units were taxi zone-hours in which any motor vehicle injury crash occurred, and matched control units were the same taxi zone from 1 week before (-168 hours) and 1 week after (+168 hours) the case unit. Conditional logistic regression models estimated the odds of observing a crash (separated into all injury crashes, motorist injury crashes, pedestrian injury crashes, cyclist injury crashes) relative to rideshare trip counts. Models controlled for taxi trips and other theoretically relevant covariates (eg, precipitation, holidays).

RESULTS

Each additional 100 rideshare trips originating within a taxi zone-hour was associated with 4.6% increased odds of observing any injury crash compared with the control taxi zone-hours (OR=1.046; 95% CI 1.032 to 1.060). Associations were detected for motorist injury and pedestrian injury crashes, but not cyclist injury crashes. Findings were substantively similar for analyses conducted using trip destinations as the exposure of interest.

CONCLUSIONS

Ridesharing contributes to increased injury burden due to motor vehicle crashes, particularly for motorist and pedestrian injury crashes at trip nodes.

Tracking of Obesity in Childhood into Adulthood: Effects on Body Mass Index and Fat Mass Index at Age 50

Background: Obesity is present in 17% of US youth, age 2-19 years, but the extent to which obesity in childhood is associated with higher BMI and fat mass in middle age is unclear. In this study, links between childhood body size and BMI and body composition at age ∼50 were assessed. Methods: Child Health and Development Studies participants, born between 1960 and 1963 in Alameda County, and still living in California, from whom anthropometric data were collected at age 5, 9-11, and/or 15-17 years were followed-up at age ∼50 for anthropometric outcomes (251 women; 249 men). Linear regression analyses assessed whether overweight (85th to <95th BMI percentile) or obesity (≥95th BMI percentile) at age 5 were associated with BMI, fat mass index (FMI), and lean mass index (LMI) at age ∼50. Results: At age 50, participants with obesity at age 5 had BMI scores that were 6.51 units higher [95% confidence interval (CI) = 3.67-9.35] than participants who were normal weight at age 5; FMI and LMI scores were 4.15 (95% CI = 1.98-6.32) and 2.36 (95% CI = 1.45-3.26) units higher, respectively. However, obesity experienced at age 5 had only a modest positive predictive value for predicting the presence of obesity at age 50 (67%), whereas obesity present at age 15-17 had a higher positive predictive value (86%). Conclusions: The experience of obesity at age 5 for members of this birth cohort was associated with significantly higher BMI, FMI, and LMI at age ∼50.

Prepregnancy obesity is associated with lower psychomotor development scores in boys at age 3 in a low-income, minority birth cohort

Whether maternal obesity and gestational weight gain (GWG) are associated with early-childhood development in low-income, urban, minority populations, and whether effects differ by child sex remain unknown. This study examined the impact of prepregnancy BMI and GWG on early childhood neurodevelopment in the Columbia Center for Children's Environmental Health Mothers and Newborns study. Maternal prepregnancy weight was obtained by self-report, and GWG was assessed from participant medical charts. At child age 3 years, the Psychomotor Development Index (PDI) and Mental Development Index (MDI) of the Bayley Scales of Infant Intelligence were completed. Sex-stratified linear regression models assessed associations between prepregnancy BMI and pregnancy weight gain z-scores with child PDI and MDI scores, adjusting for covariates. Of 382 women, 48.2% were normal weight before pregnancy, 24.1% overweight, 23.0% obese, and 4.7% underweight. At 3 years, mean scores on the PDI and MDI were higher among girls compared to boys (PDI: 102.3 vs. 97.2, P = 0.0002; MDI: 92.8 vs. 88.3, P = 0.0001). In covariate-adjusted models, maternal obesity was markedly associated with lower PDI scores in boys [b = -7.81, 95% CI: (-13.08, -2.55), P = 0.004], but not girls. Maternal BMI was not associated with MDI in girls or boys, and GWG was not associated with PDI or MDI among either sex (all-P > 0.05). We found that prepregnancy obesity was associated with lower PDI scores at 3 years in boys, but not girls. The mechanisms underlying this sex-specific association remain unclear, but due to elevated obesity exposure in urban populations, further investigation is warranted.

Drop-And-Spin Virtual Neighborhood Auditing: Assessing Built Environment for Linkage to Health Studies

INTRODUCTION

Various built environment factors might influence certain health behaviors and outcomes. Reliable, resource-efficient methods that are feasible for assessing built environment characteristics across large geographies are needed for larger, more robust studies. This paper reports the item response prevalence, reliability, and rating time of a new virtual neighborhood audit protocol, drop-and-spin auditing, developed for assessment of walkability and physical disorder characteristics across large geographic areas.

METHODS

Drop-and-spin auditing, a method where a Google Street View scene was rated by spinning 360° around a point location, was developed using a modified version of the virtual audit tool Computer Assisted Neighborhood Visual Assessment System. Approximately 8,000 locations within Essex County, New Jersey were assessed by 11 trained auditors. Using a standardized protocol, 32 built environment items per a location within Google Street View were audited. Test-retest and inter-rater κ statistics were from a 5% subsample of locations. Data were collected in 2017-2018 and analyzed in 2018.

RESULTS

Roughly 70% of Google Street View scenes had sidewalks. Among those, two thirds were in good condition. At least 5 obvious items of garbage or litter were present in 41% of Google Street View scenes. Maximum test-retest reliability indicated substantial agreement (κ ≥0.61) for all items. Inter-rater reliability of each item, generally, was lower than test-retest reliability. The median time to rate each item was 7.3 seconds.

CONCLUSIONS

Compared with segment-based protocols, drop-and-spin virtual neighborhood auditing is quicker and similarly reliable for assessing built environment characteristics. Assessment of large geographies may be more feasible using drop-and-spin virtual auditing.

Prenatal exposure to airborne polycyclic aromatic hydrocarbons and childhood growth trajectories from age 5-14 years

There is evidence that exposures to polycyclic aromatic hydrocarbons (PAH) and fine particles in air pollution are associated with higher childhood body mass index (BMI). Birth cohort analyses of prenatal exposures to PAH and child BMI Z-scores from age 5-14 years were conducted. African-American and Hispanic children born in the Bronx or Northern Manhattan, New York (1998-2006), whose mothers underwent personal air monitoring for airborne PAH exposure during pregnancy, were followed up with measurements of height and weight at approximate ages 5, 7, 9, 10, 11, 12.5 and 13.5 years. Multivariable generalized estimating equation analyses were used to relate prenatal airborne PAH exposures to child BMI Z-scores through time. The analyses adjusted for many known risk factors for childhood obesity and included interactions terms between age and exposure tertiles and age squared and exposure tertiles. In total, 535 children had at least one height and weight measure during follow-up. The prevalence of obesity was 20.6% at age 5 and increased across follow-ups until age 11 when it was 33.0%. At age 5, BMI Z-scores were significantly greater for children in the third tertile of exposure relative to the first tertile (0.35 Z-score units, 95% CI 0.09, 0.61, p = 0.007) and were non-significantly higher for the second tertile of exposure compared to the first tertile (0.25 Z-score units, 95% CI -0.02, 0.52, P = 0.075). The trajectories of BMI Z-scores by tertiles of exposure converged as the children aged, such that by age 11 years the estimated mean BMI Z-scores associated with each tertile of exposure were not different. Prenatal exposures to airborne PAH were associated with higher childhood BMI Z-scores at a young age, but growth trajectories converged by age 11 years. Accordingly, highly exposed children spend a greater proportion of their childhood with higher BMI Z-scores.

Association Between Hospital Financial Distress and Immediate Breast Reconstruction Surgery After Mastectomy Among Women With Ductal Carcinoma In Situ

Importance

Hospital financial distress (HFD) is a state in which a hospital is at risk of closure because of its financial condition. Hospital financial distress may reduce the services a hospital can offer, particularly unprofitable ones. Few studies have assessed the association of HFD with quality of care.

Objective

To examine the association between HFD and receipt of immediate breast reconstruction surgery after mastectomy among women diagnosed with ductal carcinoma in situ (DCIS).

Design, Setting, and Participants

This retrospective cohort study assessed data from the Nationwide Inpatient Sample of 5760 women older than 18 years (mean [SD] age: 57.5 [13.2]) with DCIS who underwent mastectomy in 2008-2012 at hospitals categorized by financial distress. Women treated at 1156 hospitals located in 538 different counties across Arkansas, Arizona, California, Colorado, Connecticut, Florida, Iowa, Kentucky, Massachusetts, Maryland, Missouri, North Carolina, New Hampshire, New Jersey, Nevada, New York, Oregon, Pennsylvania, Rhode Island, Utah, Virginia, Vermont, Washington, Wisconsin, West Virginia, and Wyoming were included. Of these, 2385 women (41.4%) underwent immediate breast reconstruction surgery. Women with invasive cancer were excluded. The database included unique hospital identification variables, and participants were identified using International Classification of Diseases, Ninth Revision, Clinical Modification codes. Data were analyzed from January 1, 2012, to February 28, 2014.

Main Outcomes and Measures

The primary outcome was the adjusted association between HFD and receipt of immediate breast reconstruction surgery after mastectomy.

Results

In this analysis of database information, 2385 of 5760 women (41.4%) received immediate breast reconstruction surgery. Of these, 693 (36.7%) were treated at a hospital under high HFD and received immediate breast reconstruction surgery compared with 863 (44.0%) treated at a hospital under low HFD (P < .001). Reconstruction surgery was associated with younger age, white race, private insurance, treatment at a teaching and cancer hospital, private hospital ownership, and the percentage of individuals in the county with insurance. After adjustment, women treated at hospitals under high HFD (OR, 0.79; 95% CI, 0.62-0.99) and medium HFD (OR, 0.76; 95% CI, 0.61-0.94) were significantly less likely to receive reconstruction than women treated at hospitals with low to no HFD.

Conclusions and Relevance

The financial strength of the hospital where a patient receives treatment is associated with receipt of immediate breast reconstruction surgery. In addition to focusing on patient-related factors, efforts to improve quality should also focus on hospital-related factors.

Development of a Neighborhood Walkability Index for Studying Neighborhood Physical Activity Contexts in Communities across the U.S. over the Past Three Decades

To examine how urban form shapes physical activity and health over time, a measure of neighborhood walkability is needed that can be linked to cohort studies with participants living across the United States (U.S.) that have been followed over the past decades. The Built Environment and Health-Neighborhood Walkability Index (BEH-NWI), a measure of neighborhood walkability that can be calculated for communities across the United States between 1990 and 2015, was conceptualized, developed, and tested using data from the New York City Tri-State Area. BEH-NWI measures were created for 1990 and 2010 using historical data on population density, street intersection density, density of rail stops, and density of pedestrian trip generating/supporting establishments. BEH-NWI scores were calculated for 1-km buffers around the 1990 residences of NYU Women's Health Study (NYUWHS) participants and NYC Department of Health and Mental Hygiene's Physical Activity and Transit (PAT) survey participants enrolled in 2011. Higher neighborhood BEH-NWI scores were significantly associated with greater self-reported walking per week (+ 0.31 MET-hours/week per unit BEH-NWI, 95% CI 0.23, 0.36) and lower body mass index (- 0.17 BMI units per unit BEH-NWI, 95% - 0.23, - 0.12) among NYUWHS participants. Higher neighborhood BEH-NWI scores were associated with significantly higher accelerometer-measured physical activity among PAT survey participants (39% more minutes of moderate-intensity equivalent activity/week across the interquartile range of BEH-NWI, 95% CI 21%, 60%). The BEH-NWI can be calculated using historical data going back to 1990, and BEH-NWI scores predict BMI, weekly walking, and physical activity in two NYC area datasets.

Disparities in trajectories of changes in the unhealthy food environment in New York City: A latent class growth analysis, 1990-2010

Disparities in availability of food retailers in the residential environment may help explain racial/ethnic and socio-economic differences in obesity risk. Research is needed that describes whether food environment dynamics may contribute to equalizing conditions across neighborhoods or to amplifying existing inequalities over time. This study improves the understanding of how the BMI-unhealthy food environment has evolved over time in New York City. We use longitudinal census tract-level data from the National Establishment Time-Series (NETS) for New York City in the period 1990-2010 and implement latent class growth analysis (LCGA) to (1) examine trajectories of change in the number of unhealthy food outlets (characterized as selling calorie-dense foods such as pizza and pastries) at the census tract-level, and (2) examine how trajectories are related to socio-demographic characteristics of the census tract. Overall, the number of BMI-unhealthy food outlets increased between 1990 and 2010. We summarized trajectories of evolutions with a 5-class model that indicates a pattern of fanning out, such that census tracts with a higher initial number of BMI-unhealthy food outlets in 1990 experienced a more rapid increase over time. Finally, fully adjusted logistic regression models reveal a greater increase in BMI-unhealthy food outlets in census tracts with: higher baseline population size, lower baseline income, and lower proportion of Black residents. Greater BMI-unhealthy food outlet increases were also noted in the context of census tracts change suggestive of urbanization (increasing population density) or increasing purchasing power (increasing income).

Body mass index across the life course: emergence of race-by-sex disparities in early childhood

PURPOSE

The purpose of this study was to assess when in the life-course race-by-sex disparities in body mass index (BMI) emerge.

METHODS

Child Health and Development Studies participants, from whom height and weight data were collected at ages 5, 9-11, and 15-17 years, were followed up at the age of 50 years for anthropometric outcomes. Follow-up was completed for 605 subjects, 460 of whom were assessed for height and weight at the age of 50 years, had at least one available childhood BMI measure, and self-identified as either non-Hispanic black or non-Hispanic white. Linear regression analyses were conducted to determine whether interactions existed between race (black vs. white) and sex for predicting BMI at ages 5, 9-11, 15-17, and 50 years.

RESULTS

At age 5 years, BMI was independent of sex for both blacks and whites, but by the age of 9-11 years, BMI was sex-dependent in blacks, with higher BMI observed among black females. This sex dependence for BMI among blacks persisted at ages 15-17 years and age 50 years. The race-by-sex interaction was significant at ages 9-11, 15-17, and 50 years (P for interaction = 0.001, 0.002, and 0.01, respectively).

CONCLUSIONS

Race-by-sex disparities in body size were observed by the age of 9-11 years and persisted until the age of 50 years.

Air pollution, urgent asthma medical visits and the modifying effect of neighborhood asthma prevalence

BACKGROUND

Social and environmental stressors may modify associations between environmental pollutants and asthma symptoms. We examined if neighborhood asthma prevalence (higher: HAPN vs. lower: LAPN), a surrogate for underlying risk factors for asthma, modified the relationship between pollutants and urgent asthma visits.

METHODS

Through zip code, home addresses were linked to New York City Community Air Survey's land use regression model for street-level, annual average nitrogen dioxide (NO2), particulate matter (PM2.5), elemental carbon (EC), summer average ozone (O3), winter average sulfur dioxide (SO2) concentrations. Poisson regression models were fit to estimate the association (prevalence ratio, PR) between pollutant exposures and seeking urgent asthma care.

RESULTS

All pollutants, except O3 were higher in HAPN than LAPN (P < 0.01). Neighborhood asthma prevalence modified the relationship between pollutants and urgent asthma (P-interaction < 0.01, for NO2 and SO3). Associations between pollutants and urgent asthma were observed only in LAPN (NO2: PR = 1.38, P = 0.01; SO3: PR = 1.85, P = 0.04). No association was observed between pollutants and urgent asthma among children in HAPN (P > 0.05).

CONCLUSIONS

Relationships between modeled street-level pollutants and urgent asthma were stronger in LAPN compared to HAPN. Social stressors that may be more prevalent in HAPN than LAPN, could play a greater role in asthma exacerbations in HAPN vs. pollutant exposure alone.

Infant rhinitis and watery eyes predict school-age exercise-induced wheeze, emergency department visits and respiratory-related hospitalizations

BACKGROUND

Rhinitis and conjunctivitis are often linked to asthma development through an allergic pathway. However, runny nose and watery eyes can result from nonallergic mechanisms. These mechanisms can also underlie exercise-induced wheeze (EIW), which has been associated with urgent medical visits for asthma, independent of other indicators of asthma severity or control.

OBJECTIVE

To test the hypothesis that rhinitis or watery eyes without cold symptoms (RWWC) in infancy predict development of EIW and urgent respiratory-related medical visits at school age, independent of seroatopy.

METHODS

Within a prospective birth cohort of low-income, urban children (n = 332), RWWC was queried during the first year of life. Relative risks (RRs) for EIW, emergency department (ED) visits, and hospitalizations for asthma and other breathing difficulties at 5 to 7 years of age were estimated with multivariable models. Seroatopy was determined at 7 years of age.

RESULTS

Infant RWWC was common (49% of children) and predicted school-age EIW (RR, 2.8; P < .001), ED visits (RR, 1.8; P = .001), and hospitalizations (RR, 9.8; P = .002). These associations were independent of infant wheeze. They were also independent of birth order, an indicator of increased risk of exposure to viruses in infancy, and infant ear infections, an indicator of sequelae of upper airway infections. The association between infant RWWC and ED visits at 5 to 7 years of age was attenuated (RR, 1.2; P = .23) when EIW at 5 to 7 years of age was included in the model, suggesting EIW mediates the association. Adjustment for seroatopy did not diminish the magnitudes of any of these associations.

CONCLUSION

These findings suggest a nonallergic connection between infant nonwheeze symptoms and important consequences of urban respiratory health by school age through EIW.

Assessment of exposure to air pollution in children: Determining whether wearing a personal monitor affects physical activity

Personal air pollution monitoring in research studies should not interfere with usual patterns of behavior and bias results. In an urban pediatric cohort study we tested whether wearing an air monitor impacted activity time based on continuous watch-based accelerometry. The majority (71%) reported that activity while wearing the monitor mimicked normal activity. Correspondingly, variation in activity while wearing versus not wearing the monitor did not differ greatly from baseline variation in activity (P = 0.84).

Association between cadmium and androgen receptor protein expression differs in prostate tumors of African American and European American men

Cadmium is a known carcinogen that has been implicated in prostate cancer, but how it affects prostate carcinogenesis in humans remains unclear. Evidence from basic science suggests that cadmium can bind to the androgen receptor causing endocrine disruption. The androgen receptor is required for normal prostate development and is the key driver of prostate cancer progression. In this study, we examined the association between cadmium content and androgen receptor protein expression in prostate cancer tissue of African American (N = 22) and European American (N = 30) men. Although neither overall tumor cadmium content (log transformed) nor androgen receptor protein expression level differed by race, we observed a race-cadmium interaction with regard to androgen receptor expression (P = 0.003) even after accounting for age at prostatectomy, smoking history, and Gleason score. African American men had a significant positive correlation between tumor tissue cadmium content and androgen receptor expression (Pearson correlation = 0.52, P = 0.013), while European Americans showed a non-significant negative correlation between the two (Pearson correlation = -0.19, P = 0.31). These results were unchanged after further accounting for tissue zinc content or dietary zinc or selenium intake. African American cases with high-cadmium content (>median) in tumor tissue had more than double the androgen receptor expression (0.021 vs. 0.008, P = 0.014) of African American men with low-cadmium level. No difference in androgen receptor expression was observed in European Americans by cadmium level (high 0.015 vs. low 0.011, P = 0.30). Larger studies are needed to confirm these results and if upheld, determine the biologic mechanism by which cadmium increases androgen receptor protein expression in a race-dependent manner. Our results suggest that cadmium may play a role in race disparities observed in prostate cancer.

Longitudinal Patterns of Physical Activity Among Older Adults: A Latent Transition Analysis

Most epidemiologic studies of physical activity measure either total energy expenditure or engagement in a single type of activity, such as walking. These approaches may gloss over important nuances in activity patterns. We performed a latent transition analysis to identify patterns of activity, as well as neighborhood and individual determinants of changes in those activity patterns, over 2 years in a cohort of 2,023 older adult residents of New York, New York, surveyed between 2011 and 2013. We identified 7 latent classes: 1) mostly inactive, 2) walking, 3) exercise, 4) household activities and walking, 5) household activities and exercise, 6) gardening and household activities, and 7) gardening, household activities, and exercise. The majority of subjects retained the same activity patterns between waves (54% unchanged between waves 1 and 2, 66% unchanged between waves 2 and 3). Most latent class transitions were between classes distinguished only by 1 form of activity, and only neighborhood unemployment was consistently associated with changing between activity latent classes. Future latent transition analyses of physical activity would benefit from larger cohorts and longer follow-up periods to assess predictors of and long-term impacts of changes in activity patterns.

Associations of Residential Socioeconomic, Food, and Built Environments With Glycemic Control in Persons With Diabetes in New York City From 2007-2013

In the present study, we examined the longitudinal associations between residential environmental factors and glycemic control in 182,756 adults with diabetes in New York City from 2007 to 2013. Glycemic control was defined as a hemoglobin A1c (HbA1c) level less than 7%. We constructed residential-level measures and performed principle component analysis to formulate a residential composite score. On the basis of this score, we divided residential areas into quintiles, with the lowest and highest quintiles reflecting the least and most advantaged residential environments, respectively. Several residential-level environmental characteristics, including more advantaged socioeconomic conditions, greater ratio of healthy food outlets to unhealthy food outlets, and residential walkability were associated with increased glycemic control. Individuals who lived continuously in the most advantaged residential areas took less time to achieve glycemic control compared with the individuals who lived continuously in the least advantaged residential areas (9.9 vs. 11.5 months). Moving from less advantaged residential areas to more advantaged residential areas was related to improved diabetes control (decrease in HbA1c = 0.40%, 95% confidence interval: 0.22, 0.55), whereas moving from more advantaged residential areas to less advantaged residential areas was related to worsening diabetes control (increase in HbA1c = 0.33%, 95% confidence interval: 0.24, 0.44). These results show that residential areas with greater resources to support healthy food and residential walkability are associated with improved glycemic control in persons with diabetes.

Street Audits to Measure Neighborhood Disorder: Virtual or In-Person?

Neighborhood conditions may influence a broad range of health indicators, including obesity, injury, and psychopathology. In particular, neighborhood physical disorder-a measure of urban deterioration-is thought to encourage crime and high-risk behaviors, leading to poor mental and physical health. In studies to assess neighborhood physical disorder, investigators typically rely on time-consuming and expensive in-person systematic neighborhood audits. We compared 2 audit-based measures of neighborhood physical disorder in the city of Detroit, Michigan: One used Google Street View imagery from 2009 and the other used an in-person survey conducted in 2008. Each measure used spatial interpolation to estimate disorder at unobserved locations. In total, the virtual audit required approximately 3% of the time required by the in-person audit. However, the final physical disorder measures were significantly positively correlated at census block centroids (r = 0.52), identified the same regions as highly disordered, and displayed comparable leave-one-out cross-validation accuracy. The measures resulted in very similar convergent validity characteristics (correlation coefficients within 0.03 of each other). The virtual audit-based physical disorder measure could substitute for the in-person one with little to no loss of precision. Virtual audits appear to be a viable and much less expensive alternative to in-person audits for assessing neighborhood conditions.

Neighborhood Disadvantage and Life-Space Mobility Are Associated with Incident Falls in Community-Dwelling Older Adults

OBJECTIVES

To determine the relationship between neighborhood-level socioeconomic characteristics, life-space mobility, and incident falls in community-dwelling older adults.

DESIGN

Prospective, observational cohort study with a baseline in-home assessment and 6-month telephone follow-up.

SETTING

Central Alabama.

PARTICIPANTS

Community-dwelling adults aged 65 and older recruited from a random sample of Medicare beneficiaries (N = 1,000).

MEASUREMENTS

Neighborhood disadvantage was measured using a composite index derived from baseline neighborhood-level residential census tract socioeconomic variables. Data on individual-level socioeconomic characteristics, clinical variables, and life-space collected at baseline were included as covariates in a multivariate model using generalized estimating equations to assess the association with incident falls in the 6 months after baseline.

RESULTS

Of the 940 participants who completed baseline and follow-up assessments, 126 (13%) reported one or more new falls in the 6 months after baseline. There was an independent nonlinear association between neighborhood disadvantage (according to increasing quartiles of disadvantage) and incident falls after adjusting for confounders: The lowest quartile served as reference; 2nd quartile odds ratio (OR) = 2.4, 95% confidence interval (CI) = 1.2-4.6; 3rd quartile OR = 1.9, 95% CI = 1.0-3.7; 4th quartile OR = 3.2, 95% CI = 1.7-6.0. Each 10-point decrement in life-space (OR = 1.2, 95% CI = 1.0-1.3) was associated with a higher risk of falls.

CONCLUSION

Greater neighborhood disadvantage was associated with greater risk of falls. Life-space also contributes separately to fall risk. Community-dwelling older adults in disadvantaged neighborhoods, particularly those with limited mobility, may benefit from a more-rigorous assessment of their fall risk by healthcare providers. Neighborhood level socioeconomic characteristics should also be an important consideration when identifying vulnerable populations that may benefit the most from fall prevention programs.