se than younger patients based on validated GC scores. PATIENT SUMMARY The presented clinical-genomic data demonstrate that elderly patients with low-risk prostate cancer might harbor more aggressive disease than their younger counterparts. This suggests that standard well-accepted paradigm of elderly prostate cancer patients not being aggressively treated, based solely on their chronological age, might need to be reconsidered. INTRODUCTION Cigarette smoking remains more common among individuals with depression. This study investigates whether cigarette quit ratios and cigarette use prevalence have changed differentially by depression status during the past decade. METHODS National Survey on Drug Use and Health data (2005-2017) were analyzed in 2019. Respondents aged ≥12 years were included in analyses of smoking prevalence (n=728,691) and respondents aged ≥26 years were included in analyses of quit ratio (n=131,412). Time trends in smoking prevalence (current, daily, and nondaily) and quit ratio (former/lifetime smokers) were estimated, stratified by past-year depression. Adjusted analyses controlled for demographics. RESULTS Smoking prevalence was consistently higher among those with depression than those without depression. From 2005 to 2017, nondaily smoking did not significantly change among individuals with depression (9.25% to 9.40%; AOR=0.995, 95% CI=0.986, 1.005), whereas it decreased from 7.02% to 5.85% among those without depression (AOR=0.986, 95% CI=0.981, 0.990). By contrast, daily smoking declined among individuals with (25.21% to 15.11%; AOR=0.953, 95% CI=0.945, 0.962) and without depression (14.94% to 9.76%; AOR=0.970, 95% CI=0.967, 0.973). The quit ratio increased among individuals with (28.61% to 39.75%; AOR=1.036, 95% CI=1.021, 1.052) and without depression (47.65% to 53.09%; AOR=1.013, 95% CI=1.009, 1.017), yet quit ratios were consistently lower for those with depression than those without depression. CONCLUSIONS Quit ratios are increasing and smoking prevalence is decreasing overall, yet disparities by depression status remain significant. Disparities in quit ratio may be one contributing factor to the elevated prevalence of smoking among those with depression. Innovative tobacco control approaches for people with depression appear long overdue. INTRODUCTION Suicidality is higher for gender minorities than the general population, yet little is known about suicidality in disabled or older adult gender minorities. METHODS This study used 2009-2014 Medicare claims to identify people with gender identity-related diagnosis codes (disabled, n=6,678; older adult, n=2,018) and compared their prevalence of suicidality with a 5% random non-gender minority beneficiary sample (disabled, n=535,801; older adult, n=1,700,008). Correlates of suicidality were assessed (via chi-square) for each of the 4 participant groups separately, and then disparities within eligibility status (disabled or older adult) were assessed using logistic regression models, adjusting first for age and mental health chronic conditions and then additionally for Medicaid eligibility, race/ethnicity, or U.S. region (each separately). The primary hypotheses were that gender minority beneficiaries would have higher suicidality but that suicidality disparities would persist after adjusting for covariates. Data were analyzed between 2017 and 2019. RESULTS Gender minority beneficiaries had higher unadjusted suicidality than non-gender minority beneficiaries in the disabled cohort (18.5% vs 7.1%, p less then 0.001). Significant suicidality predictors in all 4 groups included the following age (except in older adult gender minorities), Medicaid eligibility, depression or behavioral health conditions, avoidable hospitalizations, and violence victimization. In age- and mental health-adjusted logistic regression models, gender minorities had higher odds of suicidality than non-gender minority beneficiaries (disabled, OR=1.95, p less then 0.0001; older adult, OR=2.10, p less then 0.0001). Disparities were not attenuated after adjusting for Medicaid eligibility, race/ethnicity, or region. CONCLUSIONS Heightened suicidality among identified gender minority Medicare beneficiaries highlights a pressing need to identify and reduce barriers to wellness in this population. CONTEXT This scoping review examines the literature as it relates to autonomous vehicles and impact on movement behavior (i.e., physical activity, sedentary behavior, and sleep) or mode choice (e.g., public transit), beliefs about movement behavior or mode choice, or impact on environments that may influence movement behavior or mode choice. EVIDENCE ACQUISITION A search was conducted in June 2018 and updated in August 2019 of numerous databases (e.g., SPORTDiscuss, PubMed, and Scopus) and hand searching using terms such as autonomous cars and walking. Documents were included if they were databased studies, published in English, and related to the research question. They were then coded by 6 reviewers for characteristics of the document, design, sample, autonomous vehicles, movement behavior, and findings. The coding and analysis were conducted between August 2018 and September 2019. EVIDENCE SYNTHESIS Of 1,262 possible studies, 192 remained after a title and abstract scan, and 70 were included after a full-article scan. BL918 Most of the studies were conducted in Europe (42%) or North America (40%), involved simulation modeling (50%) or cross-sectional (34%) designs, and were published mostly in transportation (83%) journals or reports. Of the 252 findings, 61% related to movement behavior or mode choice. Though the findings were equivocal in some cases, impacts included decreased demand for active transportation, increased demand for autonomous vehicles, increased sitting and sleeping, and reduced walking. CONCLUSIONS Though no experimental or longitudinal studies have been published to date, the available research suggests that autonomous vehicles will impact aspects of mode choice and the built environment of people residing in much of the developed world, resulting in reduced walking and more sitting.