Faculty Bibliography

Background. Reference life expectancies inform frequently used health metrics, which play an integral role in determining resource allocation and health policy decision making. Existing reference life expectancies are not able to account for variation in geographies, populations, and disease states. Using a computer simulation, we developed a reference life expectancy estimation that considers competing causes of mortality, and is tailored to population characteristics. Methods. We developed a Monte Carlo microsimulation model that explicitly represented the top causes of US mortality in 2014 and the risk factors associated with their onset. The microsimulation follows a birth cohort of hypothetical individuals resembling the population of the United States. To estimate a reference life expectancy, we compared current circumstances with an idealized scenario in which all modifiable risk factors were eliminated and adherence to evidence-based therapies was perfect. We compared estimations of years of potential years life lost with alternative approaches. Results. In the idealized scenario, we estimated that overall life expectancy in the United States would increase by 5.9 years to 84.7 years. Life expectancy for men would increase from 76.4 years to 82.5 years, and life expectancy for women would increase from 81.3 years to 86.8 years. Using age-75 truncation to estimate potential years life lost compared to using the idealized life expectancy underestimated potential health gains overall (38%), disproportionately underestimated potential health gains for women (by 70%) compared to men (by 40%), and disproportionately underestimated the importance of heart disease for white women and black men. Conclusion. Mathematical simulations can be used to estimate an idealized reference life expectancy among a population to better inform and assess progress toward targets to improve population health.

Adults ≥50 years of age have high rates of prescription opioid use. The purpose of this study is to estimate the prevalence and correlates of prescription opioid misuse among middle-aged and older adults in the United States who use prescription opioids. Data from adults age ≥ 50 from the two most recent cohorts (2015 and 2016) of the National Survey of Drug Use and Health were examined (N = 17,608). Characteristics of past-year prescription opioid misusers, including demographics, substance use, depression, chronic disease, and emergency department (ED) use, were compared to adults who used prescription opioids as prescribed in the past year and non-users. We used multivariable logistic regression to determine correlates of prescription opioid misuse among adults who used prescription opioids. Among the entire sample, 61.4% reported no past-year prescription opioid use, 36.0% reported past-year prescription opioid use without misuse, and 2.5% reported past-year prescription opioid misuse. Among past-year prescription opioid users, 6.6% reported misuse. Past-year misuse was higher among males, adults age 50-64, misusers of prescription sedatives, stimulants, and tranquilizers, users of other substances (i.e., tobacco, marijuana, cocaine), and those with alcohol use disorder. Past-year misuse was lower among adults with 2 or more chronic diseases. Past-year prescription misuse of sedatives (AOR 4.08 [95% CI 2.05-8.12]), stimulants (AOR 3.88 [95% CI 2.00-7.53]), and tranquilizers (AOR 10.02 [95% CI 6.48-15.50]) were all associated with past-year opioid misuse. Characteristics of opioid misusers determined in this study-particularly misuse of other substances-may help determine middle-aged and older adults at risk for prescription opioid misuse.

Attendance at well-child visits (WCVs) is a sine qua non of preventive care. We hypothesized that Reach Out and Read (ROR) would be associated with better WCV attendance. Parents of children 76 to 72 months at 8 clinics who did not yet have ROR reported how many WCVs their child had attended in the previous year; separate samples at the same clinics were interviewed 16 months after the ROR program was instituted. Comparing 267 parents before ROR and 254 after, the percentage who had attended the minimum number of WCVs required by the American Academy of Pediatrics periodicity schedule rose from 67.4% (180/267) to 78.3% (199/254; P < .01). This difference remained significant after controlling for multiple potential confounding factors (estimated odds ratio = 2.1, 95% confidence interval = 1.3-3.5). The largest differences were among Latino children and children of less-educated parents. Programs to enhance early literacy may increase attendance at WCVs among at-risk families.

Lead represents a highly prevalent metal toxicant with potential to alter human biology in lasting ways. A population segment that is particularly vulnerable to the negative consequences of lead exposure is the human fetus, as exposure events occurring before birth are linked to varied and long-ranging negative health and behavioral outcomes. An area that has yet to be addressed is the potential that lead exposure during pregnancy alters brain development even before an individual is born. Here, we combine prenatal lead exposure information extracted from newborn bloodspots with the human fetal brain functional MRI data to assess whether neural network connectivity differs between lead-exposed and lead-naïve fetuses. We found that neural connectivity patterns differed in lead-exposed and comparison groups such that fetuses that were not exposed demonstrated stronger age-related increases in cross-hemispheric connectivity, while the lead-exposed group demonstrated stronger age-related increases in posterior cingulate cortex (PCC) to lateral prefrontal cortex (PFC) connectivity. These are the first results to demonstrate metal toxicant-related alterations in human fetal neural connectivity. Remarkably, the findings point to alterations in systems that support higher-order cognitive and regulatory functions. Objectives for future work are to replicate these results in larger samples and to test the possibility that these alterations may account for significant variation in future child cognitive and behavioral outcomes.

INTRODUCTION/BACKGROUND:Disparities in survival for bladder and kidney cancer among the genders and patients with varying insurance coverage have been identified. Microhematuria (MH), a potential early clinical sign of genitourinary malignancy, should prompt a standardized diagnostic evaluation. However, many patients do not complete a full evaluation and may be at risk of a missed or delayed identification of genitourinary pathology. METHODS:Patients 35 and older with a new diagnosis of MH between 2007 and 2015 were retrospectively identified at a large health system. Our primary outcome of interest was completion of cystoscopy and imaging. Regression modeling was used to assess associations between gender and insurance status with completion of a MH evaluation, adjusted for clinical factors, urinalysis data, and patient demographics. RESULTS:Of 15,161 patients with MH, only 1,273 patients (8.4%) completed upper tract imaging and a cystoscopy; 899 (5.9%) within 1 year. Median time to imaging was 75 days and 68.5 days for cystoscopy. Of those with an incomplete evaluation, 23.7% underwent cystoscopy and 76.3% underwent imaging. Male gender, private insurance, and increased MH severity on UA were associated with a complete evaluation. More patients who completed an evaluation were diagnosed with bladder (4.8% vs. 0.3%) and kidney cancer (3.1% vs. 0.4%) when compared to those who did not. CONCLUSION/CONCLUSIONS:Few patients complete a timely evaluation of MH. Women and underinsured patients are disproportionately less likely to complete a work-up for microhematuria and this may have downstream implications for diagnosis.

Objectives: Tobacco use may be related to financial strain in people with depression. This study explored the relationship among tobacco expenditures, financial distress, and smoking-induced deprivation (SID) in smokers with and without depression. Methods: Adult tobacco users in the United States (N = 234) completed a survey assessing depression (PHQ-8≥10), sociodemographics, tobacco use and spending, financial satisfaction and distress, and SID. Regression models controlling for income compared outcomes between participants with (N = 96) and without (N = 138) depression. Results: Participants with depression were 4 times more likely to report SID (32% vs 8%, p = .00). Smokers with depression had lower financial satisfaction, greater worry about being able to meet monthly living expenses, higher frequency of being unable to afford a leisure activity, higher frequency living paycheck to paycheck, and lower confidence in finding money for an emergency (p < .01). In smokers with depression, higher tobacco expenditures were independently associated with greater odds of SID and higher levels of financial distress (p < .01). Conclusions: About one-third of smokers with depression forego essentials to pay for tobacco. Tobacco interventions may alleviate financial strain in people with depression.

BACKGROUND:The need for mentorship in aging research among postdoctoral trainees and junior faculty across medical disciplines and subspecialties is increasing, yet senior personnel with expertise in aging are lacking to fulfill the traditional dyadic mentorship role. Facilitated peer mentorship is grounded in collaborative work among peers with the guidance of a senior mentor. METHODS AND RESULTS/RESULTS:We evaluated the Columbia University Mentor Peer Aging Research (CoMPAdRE) program, an interprofessional facilitated peer mentorship program for early stage investigators, using the Reach Effectiveness Adoption Implementation and Maintenance framework (RE-AIM). Reach: A total of 15 participants, of which 20% were women, from five states and across six medical specialties participated. Effectiveness: Participants published 183 papers, of which more than 20% were collaborative papers between CoMPAdRE mentees or mentees-mentor. Participants reported developing skills in negotiation, navigating the academic role, organizing a seminar, management, and leadership over the course of the program. According to the qualitative findings, the most important components of the program included alignment around the aging, learning from national leaders, developing leadership skills and career networking. Adoption: Individual-level factors included selecting participants with a research track record, willingness to sign a compact of commitment and involvement in shaping the program. An institutional-level factor that facilitated program adoption included strong commitment from department leaders. IMPLEMENTATION/METHODS:The program cost $3,259 per participant. Maintenance: CoMPAdRE is being maintained and currently incorporating a second cohort of mentees. CONCLUSION/CONCLUSIONS:This RE-AIM evaluation provides lessons learned and strategies for future adoption, implementation, and maintenance of an aging-focused facilitated peer mentorship program.

BACKGROUND:Emerging research is using global positioning system (GPS) and ecological momentary assessment (EMA) methods among sexual minority men (SMM), a population that experiences multiple health disparities. However, we are not aware of any research that has combined these approaches among SMM, highlighting the need for acceptability and feasibility research. The purpose of this study was to examine the acceptability of implementing GPS and EMA research protocols using smartphone applications among SMM as well as related socio-demographic correlates. METHODS:Data come from a sample of SMM on a popular geosocial-networking app in Paris, France (n = 580). We assessed the acceptability of implementing GPS and EMA research protocols on smartphone apps as well as socio-demographic characteristics (i.e., age, sexual orientation, country of origin, employment status, and relationship status). We examined the anticipated acceptability of GPS and EMA data collection methods as well as socio-demographic correlates of acceptability of GPS and EMA methods. RESULTS:We found that over half (54.1%) of the sample was willing to download a smartphone app for GPS-based research and we found that almost 60% of the participants were willing to download a smartphone app for EMA-based research. In total, 44.0% reported that they were willing to download both GPS and EMA apps. In addition, we found that older participants were less willing to download a smartphone app for EMA research than younger participants aged 18-24 (40-49 years: aPR = 0.40; 95% CI = 0.20, 0.78) and students were more willing to download smartphone apps for both GPS and EMA research (aPR = 1.41; 95% CI = 1.02, 1.95). CONCLUSION/CONCLUSIONS:Results from this study suggest that using smartphone apps to implement GPS and EMA methods among some SMM are acceptable. However, care should be taken as segments of SMM are less likely to be willing to engage in this type of research.