Faculty Bibliography

BACKGROUND/OBJECTIVES/OBJECTIVE:Cannabis use among older adults is increasing sharply in the United States. While the risks and benefits of cannabis use remain unclear, it is important to monitor risk factors for use, including low perception of harm. The objective of this study was to estimate recent national trends in perceived risk associated with cannabis use among older adults. DESIGN/METHODS:Trend analysis. SETTING/PARTICIPANTS/METHODS:A total of 18,794 adults aged 65 and older participating in the 2015-2019 National Survey on Drug Use and Health, a cross-sectional nationally representative survey of non-institutionalized individuals in the United States. MEASUREMENTS/METHODS:We estimated the prevalence of older adults who believe that people who smoke cannabis once or twice a week are at great risk of harming themselves physically and in other ways. This was examined across cohort years and stratified by demographic characteristics, diagnosis of chronic disease, past-month tobacco and binge alcohol use, and all-cause emergency department use. RESULTS:Between 2015 and 2019, perceived risk associated with regular use decreased from 52.6% to 42.7%, an 18.8% relative decrease (p < 0.001). Decreases in perceived risk were detected in particular among those never married (a 32.6% relative decrease), those who binge drink (a 31.3% relative decrease), use tobacco (a 26.8% relative decrease), have kidney disease (a 32.1% relative decrease), asthma (a 31.7% relative decrease), heart disease (a 16.5% relative decrease), chronic obstructive pulmonary disease (a 21.5% relative decrease), two or more chronic conditions (a 20.2% relative decrease), and among those reporting past-year emergency department use (a 21.0% relative decrease) (ps < 0.05). CONCLUSIONS:The perceived risk of regular cannabis use is decreasing among older adults. We detected sharp decreases in risk perception among those with chronic disease and high-risk behaviors, including tobacco and binge alcohol use. As the number of older adults who use cannabis increases, efforts are needed to raise awareness of the possible adverse effects with special emphasis on vulnerable groups.

Physical activity and social support are associated with better outcomes after surviving acute myocardial infarction (AMI), and greater walkability has been associated with activity and support. We used data from the SILVER-AMI study (November 2014-June 2017), a longitudinal cohort of community-living adults ≥ 75 years hospitalized for AMI to assess associations of neighborhood walkability with health outcomes, and to assess whether physical activity and social support mediate this relationship, if it exists. We included data from 1345 participants who were not bedbound, were discharged home, and for whom we successfully linked walkability scores (from Walk Score®) for their home census block. Our primary outcome was hospital-free survival time (HFST) at six months after discharge; secondary outcomes included physical and mental health at six months, assessed using SF-12. Physical activity and social support were measured at baseline. Covariates included cognition, functioning, comorbidities, participation in rehabilitation or physical therapy, and demographics. We employed survival analysis to examine associations between walkability and HFST, before and after adjustment for covariates; we repeated analyses using linear regression with physical and mental health as outcomes. In adjusted models, walkability was not associated with physical health (ß = 0.010; 95% CI: -0.027, 0.047), mental health (ß = -0.08; 95% CI: -0.175, -0.013), or HFST (ß = 0.008; 95% CI: -0.023, 0.009). Social support was associated with mental health in adjusted models. Neighborhood walkability was not predictive of outcomes among older adults with existing coronary disease, suggesting that among older adults, mobility limitations may supercede neighborhood walkability.

OBJECTIVE:To assess current practice patterns with respect to protocols used for incidental pancreatic cyst follow-up, management guidelines, and template reporting. METHODS:The Society of Abdominal Radiology Disease Focused Panel on intraductal pancreatic neoplasms distributed an anonymous 14-question survey to its members in June 2018 that focused on current utilization of incidental pancreatic cyst guidelines, protocols, and template reporting. RESULTS:Among the 1,390 e-mail invitations, 323 responded and 94.7% (306 of 323) completed all questions. Respondents were mainly radiologists (93.8%, 303 of 323) from academic institutions (74.7%, 227 of 304) in North America (93.7%, 286 of 305). Of respondents, 42.5% (136 of 320) preferred 2017 ACR recommendations, 17.8% (57 of 320) homegrown systems, 15.0% (48 of 320) Fukuoka guidelines, and 7.8% (25 of 320) American Gastroenterological Association guidelines. The majority (68.7%, 222 of 323) agreed or strongly agreed that developing a single international consensus recommendation for management was important, and most radiologists preferred to include them in reports (231 of 322, 71.7%); yet only half included recommendations in >75% of reports (161 of 321). Magnetic resonance cholangiopancreatography was the modality of choice for follow-up of <2.5 cm cysts. Intravenous contrast was routinely used by 69.7% (212 of 304). Standardized reporting templates were rarely used in practice (12.8% 39 of 306). CONCLUSIONS:Nearly 7 of 10 radiologists desire a unified international consensus recommendation for management of incidental cystic pancreatic lesions; ACR 2017 recommendations are most commonly used, followed by homegrown systems and Fukuoka guidelines. The majority of radiologists routinely use magnetic resonance cholangiopancreatography with intravenous contrast for follow-up of incidental cystic lesions, but template reporting is rarely used.

OBJECTIVES/OBJECTIVE:The role of overcrowded and multigenerational households as a risk factor for COVID-19 remains unmeasured. The objective of this study is to examine and quantify the association between overcrowded and multigenerational households and COVID-19 in New York City (NYC). STUDY DESIGN/METHODS:Cohort study. METHODS:We conducted a Bayesian ecological time series analysis at the ZIP Code Tabulation Area (ZCTA) level in NYC to assess whether ZCTAs with higher proportions of overcrowded (defined as the proportion of the estimated number of housing units with more than one occupant per room) and multigenerational households (defined as the estimated percentage of residences occupied by a grandparent and a grandchild less than 18 years of age) were independently associated with higher suspected COVID-19 case rates (from NYC Department of Health Syndromic Surveillance data for March 1 to 30, 2020). Our main measure was an adjusted incidence rate ratio (IRR) of suspected COVID-19 cases per 10,000 population. Our final model controlled for ZCTA-level sociodemographic factors (median income, poverty status, White race, essential workers), the prevalence of clinical conditions related to COVID-19 severity (obesity, hypertension, coronary heart disease, diabetes, asthma, smoking status, and chronic obstructive pulmonary disease), and spatial clustering. RESULTS: = 0.99, 95% CI: 0.99-1.00). CONCLUSIONS:Overcrowdedness and multigenerational housing are independent risk factors for suspected COVID-19. In the early phase of the surge in COVID cases, social distancing measures that increase house-bound populations may inadvertently but temporarily increase SARS-CoV-2 transmission risk and COVID-19 disease in these populations.

OBJECTIVE: AYAs with cancer have unique psychosocial needs, with reproductive health being a primary concern. Additionally, health disparities exist among SGM AYAs and there is a gap in clinician training. The NCI-funded >=25 Enriching Communication Skills for Health Professionals in Oncofertility (ECHO) provides reproductive health communication training to allied health professionals, including social workers, psychologists, nurses, and physicians assistants, who provide care for AYAs with cancer. The ECHO curriculum expanded to include the LGBT Oncofertility Education (LOvE) module. The module aims to improve knowledge on providing inclusive and affirming care, including collecting information about sexual orientation and gender identity, discussing reproductive health, and minimizing personal bias. The objective of this project is to evaluate the role of the module in improving reproductive health communication for the care of SGM AYAs with cancer. MATERIALS AND METHODS: Module participants completed a 10- item multiple-choice pretest and posttest assessing knowledge of providing affirming reproductive health care to SGM AYAs with cancer. Total knowledge scores ranged from 0 (no correct responses) to 10 (all correct responses). A post-module survey assessed relevance of the module, quality, and appropriateness to professional practice on a 5-point scale of strongly agree to strongly disagree. Six open-ended items invited respondents to describe integrating this knowledge into their practice, barriers for implementation, and suggestions for improving training in SGM AYA cancer care. Paired t-tests were used to analyze changes in knowledge before and after the module. Content analysis was applied to qualitative responses.
RESULT(S): Of the 37 respondents completing both the pretest and posttest (73% of pretest group), 8.1% correctly answered all pretest questions. This is compared to 59.5% who correctly answered all posttest questions. The average pretest score was 8.3; the average posttest score was 9.5 (DELTA=-1.2, t(36)=4.55, p<.0001). Eighty-nine percent of respondents strongly agreed that LOvE ECHO was relevant to their work and 95% strongly agreed that it was easy to understand and navigate. Open-ended responses focused on how the module helped respondents to strengthen the provider-patient relationship in the context of oncofertility, to create a safe space for patients, and to understand the relevance of educational materials about fertility to SGM patients.
CONCLUSION(S): Our findings demonstrate significant improvement in knowledge of inclusive and affirming care for SGM AYAs with cancer after completing the LOvE ECHO module. IMPACT STATEMENT: Improving provider knowledge may subsequently improve confidence in providing inclusive and affirming care for SGM AYA patients with cancer, resulting in improved whole person care

Latino people in the US are experiencing higher excess deaths during the COVID-19 pandemic than any other racial/ethnic group, but it is unclear which sociodemographic subgroups within this diverse population are most affected. Such information is necessary to target policies that prevent further excess mortality and reduce inequities. Using death certificate data for January 1, 2016 through February 29, 2020 and time-series models, we estimated the expected weekly deaths among Latino people in California from March 1 through October 3, 2020. We quantified excess mortality as observed minus expected deaths and risk ratios (RR) as the ratio of observed to expected deaths. We considered subgroups categorized by age, sex, nativity, country of birth, educational attainment, occupation, and combinations of these factors. Our results indicate that during the first seven months of the pandemic, Latino deaths in California exceeded expected deaths by 10,316, a 31% increase. Excess death rates were greatest for individuals born in Mexico (RR 1.44; 95% PI, 1.41, 1.48) or a Central American country (RR 1.49; 95% PI, 1.37, 1.64), with less than a high school degree (RR 1.41; 95% PI, 1.35, 1.46), or in food-and-agriculture (RR 1.60; 95% PI, 1.48, 1.74) or manufacturing occupations (RR 1.59; 95% PI, 1.50, 1.69). Immigrant disadvantages in excess death were magnified among working-age Latinos in essential occupations. In sum, the COVID-19 pandemic has disproportionately impacted mortality among Latino immigrants, especially those in unprotected essential jobs. Interventions to reduce these inequities should include targeted vaccination, workplace safety enforcement, and expanded access to medical care and economic support.

Active-duty Army personnel can be exposed to traumatic warzone events and are at increased risk for developing post-traumatic stress disorder (PTSD) compared with the general population. PTSD is associated with high individual and societal costs, but identification of predictive markers to determine deployment readiness and risk mitigation strategies is not well understood. This prospective longitudinal naturalistic cohort study-the Fort Campbell Cohort study-examined the value of using a large multidimensional dataset collected from soldiers prior to deployment to Afghanistan for predicting post-deployment PTSD status. The dataset consisted of polygenic, epigenetic, metabolomic, endocrine, inflammatory and routine clinical lab markers, computerized neurocognitive testing, and symptom self-reports. The analysis was computed on active-duty Army personnel (N = 473) of the 101st Airborne at Fort Campbell, Kentucky. Machine-learning models predicted provisional PTSD diagnosis 90-180 days post deployment (random forest: AUC = 0.78, 95% CI = 0.67-0.89, sensitivity = 0.78, specificity = 0.71; SVM: AUC = 0.88, 95% CI = 0.78-0.98, sensitivity = 0.89, specificity = 0.79) and longitudinal PTSD symptom trajectories identified with latent growth mixture modeling (random forest: AUC = 0.85, 95% CI = 0.75-0.96, sensitivity = 0.88, specificity = 0.69; SVM: AUC = 0.87, 95% CI = 0.79-0.96, sensitivity = 0.80, specificity = 0.85). Among the highest-ranked predictive features were pre-deployment sleep quality, anxiety, depression, sustained attention, and cognitive flexibility. Blood-based biomarkers including metabolites, epigenomic, immune, inflammatory, and liver function markers complemented the most important predictors. The clinical prediction of post-deployment symptom trajectories and provisional PTSD diagnosis based on pre-deployment data achieved high discriminatory power. The predictive models may be used to determine deployment readiness and to determine novel pre-deployment interventions to mitigate the risk for deployment-related PTSD.

BACKGROUND:Supervised exercise training improves outcomes in patients with pulmonary arterial hypertension (PAH). The effect of an unsupervised activity intervention has not been tested. RESEARCH QUESTION:Can a text-based mobile health intervention increase step counts in patients with PAH? STUDY DESIGN AND METHODS:We performed a randomized, parallel arm, single-blind clinical trial. We randomized patients to usual care or a text message-based intervention for 12 weeks. The intervention arm received three automated text messages per day with real-time step count updates and encouraging messages rooted in behavioral change theory. Individual step targets increased by 20% every 4 weeks. The primary end point was mean week 12 step counts. Secondary end points included the 6-min walk test, quality of life, right ventricular function, and body composition. RESULTS:Among 42 randomized participants, the change in raw steps between baseline and week 12 was higher in the intervention group (1,409 steps [interquartile range, -32 to 2,220] vs -149 steps [interquartile range, -1,010 to 735]; P = .02), which persisted after adjustment for age, sex, baseline step counts, and functional class (model estimated difference, 1,250 steps; P = .03). The intervention arm took a higher average number of steps on all days between days 9 and 84 (P < .05, all days). There was no difference in week 12 six-minute walk distance. Analysis of secondary end points suggested improvements in the emPHasis-10 score (adjusted change, -4.2; P = .046), a reduction in visceral fat volume (adjusted change, -170 mL; P = .023), and nearly significant improvement in tricuspid annular plane systolic excursion (model estimated difference, 1.2 mm; P = .051). INTERPRETATION:This study demonstrated the feasibility of an automated text message-based intervention to increase physical activity in patients with PAH. Additional studies are warranted to examine the effect of the intervention on clinical outcomes. CLINICAL TRIAL REGISTRATION:ClinicalTrials.gov; No. NCT03069716; URL: www.clinicaltrials.gov.

BACKGROUND:Little is known about disparities in pain treatment associated with weight status despite prior research on weight-based discrepancies in other realms of healthcare and stigma among clinicians. OBJECTIVE:To investigate the association between weight status and the receipt of prescription analgesics in a nationally representative sample of adults with back pain, adjusting for the burden of pain. DESIGN/METHODS:Cross-sectional analyses using the Medical Expenditure Panel Survey (2010-2017). PARTICIPANTS/METHODS:Five thousand seven hundred ninety-one civilian adults age ≥ 18 with back pain. MAIN MEASURES/METHODS:We examine the odds of receiving prescription analgesics for back pain by weight status using logistic regression. We study the odds of receiving (1) any pain prescription, (2) three pain prescription categories (opioid only, non-opioid only, the combination of both), and (3) opioids conditional on having a pain prescription. KEY RESULTS/RESULTS:The odds of receiving pain prescriptions increase monotonically across weight categories, when going from normal weight to obesity II/III, despite adjustments for the burden of pain. Relative to normal weight, higher odds of receiving any pain prescription is associated with obesity I (OR = 1.30 [95% CI = 1.04-1.63]) and obesity II/III (OR = 1.72 [95% CI = 1.36-2.18]). Obesity II/III is also associated with higher odds of receiving opioids only (OR = 1.53 [95% CI = 1.16-2.02]), non-opioids only (OR = 1.77 [95% CI = 1.21-2.60]), and a combination of both (OR = 2.48 [95% CI = 1.44-4.29]). Obesity I is associated with increased receipt of non-opioids only (OR = 1.55 [95% CI = 1.07-2.23]). Conditional on having a pain prescription, the odds of receiving opioids are comparable across weight categories. CONCLUSIONS:This study suggests that, relative to those with normal weight, adults with obesity are more likely to receive prescription analgesics for back pain, despite adjustments of the burden of pain. Hence, the possibility of weight-based undertreatment is not supported. These findings are reassuring because individuals with obesity generally experience a higher prevalence of back pain. The possibility of over-treatment associated with obesity, however, may warrant further investigation.

INTRODUCTION/BACKGROUND:Neighborhood walkability has been established as a potentially important determinant of various health outcomes that are distributed inequitably by race/ethnicity and sociodemographic status. The objective of this study is to assess the differences in walkability across major urban centers in the U.S. METHODS:City- and census tract-level differences in walkability were assessed in 2020 using the 2019 Walk Score across 500 large cities in the U.S. RESULTS:At both geographic levels, high-income and majority White geographic units had the lowest walkability overall. Walkability was lower with increasing tertile of median income among majority White, Latinx, and Asian American and Native Hawaiian and Pacific Islander neighborhoods. However, this association was reversed within majority Black neighborhoods, where tracts in lower-income tertiles had the lowest walkability. Associations varied substantially by region, with the strongest differences observed for cities located in the South. CONCLUSIONS:Differences in neighborhood walkability across 500 U.S. cities provide evidence that both geographic unit and region meaningfully influence associations between sociodemographic factors and walkability. Structural interventions to the built environment may improve equity in urban environments, particularly in lower-income majority Black neighborhoods.