Faculty Bibliography

Air quality management is increasingly focused not only on across-the-board reductions in ambient pollution concentrations but also on identifying and remediating elevated exposures that often occur in traditionally disadvantaged communities. Remote sensing of ambient air pollution using data derived from satellites has the potential to better inform management decisions that address environmental disparities by providing increased spatial coverage, at high-spatial resolutions, compared to air pollution exposure estimates based on ground-based monitors alone. Daily PM2.5 estimates for 2015"“2018 were estimated at a 1 km2 resolution, derived from NASA"™s Moderate Resolution Imaging Spectroradiometer (MODIS) satellite instrument and the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm in order to assess the utility of highly refined spatiotemporal air pollution data in 92 California cities and in the 13 communities included in the California Community Air Protection Program. The identification of pollution hot-spots within a city is typically not possible relying solely on the regulatory monitoring networks; however, day-to-day temporal variability was shown to be generally well represented by nearby ground-based monitoring data even in communities with strong spatial gradients in pollutant concentrations. An assessment of within-ZIP Code variability in pollution estimates indicates that high-resolution pollution estimates (i.e., 1 km2) are not always needed to identify spatial differences in exposure but become increasingly important for larger geographic areas (approximately 50 km2). Taken together, these findings can help inform strategies for use of remote sensing data for air quality management including the screening of locations with air pollution exposures that are not well represented by existing ground-based air pollution monitors.

BACKGROUND:In the United States, New York State's health care system experienced unprecedented stress as an early epicenter of the coronavirus disease 2019 (COVID-19) pandemic. This study aims to assess the level of hopelessness in New York State physicians working on the frontlines during the first wave of the COVID-19 outbreak. METHODS:A confidential online survey sent to New York State health care workers by the state health commissioner's office was used to gather demographic and hopelessness data as captured by a brief Hopelessness Scale. Adjusted linear regression models were used to assess the associations of physician age, sex, and number of triage decisions made, with level of hopelessness. RESULTS:In total, 1330 physicians were included, of whom 684 were male (51.4%). Their average age was 52.4 years (SD=12.7), with the majority of respondents aged 50 years and older (55.2%). Almost half of the physician respondents (46.3%) worked directly with COVID-19 patients, and 163 (12.3%) were involved in COVID-19-related triage decisions. On adjusted analysis, physicians aged 40 to 49 years had significantly higher levels of hopelessness compared with those aged 50 years or more (μ=0.441, SD=0.152, P=0.004). Those involved in 1 to 5 COVID-19-related triage decisions had a significantly lower mean hopelessness score (μ=-0.572, SD=0.208, P=0.006) compared with physicians involved in none of these decisions. CONCLUSION/CONCLUSIONS:Self-reported hopelessness was significantly higher among physicians aged 40 to 49 years and those who had not yet been involved in a life or death triage decision. Further work is needed to identify strategies to support physicians at high risk for adverse mental health outcomes during public health emergencies such as the COVID-19 pandemic.

RATIONALE/BACKGROUND:To date, there is no published local epidemiological evidence documenting the respiratory health effects of source specific air pollution in South Asia, where PM2.5 composition is different from past studies. Differences include more biomass and residue crop-burning emissions, which may have differing health implications. OBJECTIVES/OBJECTIVE:We assessed PM2.5 associations with respiratory emergency department (ED) visits in a biomass-burning dominated high pollution region, and evaluated their variability by pollution source and composition. METHODS:Time-series regression modeling was applied to daily ED visits from January 2014 through December 2017. Air pollutant effect sizes were estimated after addressing long-term trends and seasonality, day-of-week, holidays, relative humidity, ambient temperature, and the effect modification by season, age, and sex. RESULTS:PM2.5 yielded a significant association with increased respiratory ED visits [0.84% (95% CI: 0.33%, 1.35%)] per 10 μg/m3 increase. The PM2.5 health effect size varied with season, the highest being during monsoon season, when fossil-fuel combustion sources dominated exposures. Results from a source-specific health effect analysis was also consistent with fossil-fuel PM2.5 having a larger effect size per 10 μg/m3 than PM2.5 from other sources [fossil-fuel PM2.5: 2.79% (0.33% to 5.31%), biomass-burning PM2.5: 1.27% (0% to 2.54%), and other-PM2.5: 0.95% (0.06% to 1.85%)]. Age-specific associations varied, with children and older adults being disproportionately affected by the air pollution, especially by the combustion-related particles. CONCLUSIONS:This study provided novel and important evidence that respiratory health in Dhaka is significantly affected by particle air pollution, with a greater health impact by fossil-fuel combustion derived PM2.5.

OBJECTIVE:Children in low-income Hispanic families are at high risk of obesity and are more likely to live with grandparents than their non-Hispanic white counterparts. We aimed to determine if grandparent coresidence (prenatal through age two years) was associated with: 1) obesogenic feeding practices; and 2) child weight outcomes from birth to three years. METHODS:We analyzed data from 267 low-income, Hispanic mother-infant pairs in the control group of an obesity prevention trial in New York City. Linear and logistic regression tested differences in obesogenic feeding practices and weight outcomes at two and three years, dependent upon grandparent coresidence. Multilevel modeling tested associations between grandparent coresidence and WFAz over time. RESULTS:Persistent grandparent coresidence (versus none) was associated with putting cereal in the bottle (adjusted odds ratio [aOR] 3.46; 95% confidence interval [CI] 1.43, 8.40). Persistent grandparent coresidence (versus none) was associated with higher mean WFAz (2 years: B 0.83; 95% CI 0.41, 1.25; 3 years: B 0.79; 95% CI 0.32, 1.25) and higher odds of child overweight/obesity risk (two years: aOR 4.38; 95% CI 1.64, 11.69; three years: aOR 3.15; 95% CI 1.19, 8.36). In multilevel models, more occasions of grandparent coresidence were associated with higher WFAz. CONCLUSIONS:Grandparent coresidence may be associated with higher risk of child overweight/obesity in low-income, Hispanic families. Further research is needed to elucidate mechanisms of these associations and to inform obesity prevention strategies in the context of multigenerational families.

Rationale & Objective/UNASSIGNED:Posttransplant diabetes mellitus (DM) after kidney transplantation increases morbidity and mortality, particularly in older and obese recipients. We aimed to examine the impact of immunosuppression selection on the risk of posttransplant DM among both older and obese kidney transplant recipients. Study Design/UNASSIGNED:Retrospective database study. Setting & Participants/UNASSIGNED:Kidney-only transplant recipients aged ≥18 years from 2005 to 2016 in the United States from US Renal Data System records, which integrate Organ Procurement and Transplantation Network/United Network for Organ Sharing records with Medicare billing claims. Exposures/UNASSIGNED:Various immunosuppression regimens in the first 3 months after transplant. Outcomes/UNASSIGNED:Development of DM >3 months-to-1 year posttransplant. Analytical Approach/UNASSIGNED:We used multivariable Cox regression to compare the incidence of posttransplant DM by immunosuppression regimen with the reference regimen of thymoglobulin (TMG) or alemtuzumab (ALEM) with tacrolimus + mycophenolic acid + prednisone using inverse propensity weighting. Results/UNASSIGNED:(aHR, 0.63; 95% CI, 0.46-0.87). Limitations/UNASSIGNED:Retrospective study and lacked data on immunosuppression levels. Conclusions/UNASSIGNED:The beneficial impact of steroid avoidance using tacrolimus on posttransplant DM appears to differ by patient age and induction regimen.

To mitigate the negative impact of resource needs on child health, practices serving low-income immigrant families have implemented screening programs to connect families to community resources. Little is known about how duration of US residence relates to patterns of resource needs and indicators of acculturation such as community resource knowledge/experience or self-efficacy. We conducted a cross-sectional analysis of a convenience sample of immigrant families with young children at an urban primary care clinic. These families were seen 5/2018-1/2020 for well child care, screening positive for ≥1 social need using a tool derived from Health Leads. Analysis of 114 families found that newly arrived families with a shorter duration of US residence (≤5 years) were more likely to report immediate material hardships like food insecurity and need for essential child supplies. Newly arrived families were also less likely to have access to technology resources such as a computer or smartphone. Long-term families with a longer duration of US residence (≥15 years) were more likely to report chronic needs like poor housing conditions, but also reported increased community resource knowledge/experience and increased self-efficacy. Primary care pediatric practices should assess immigration contextual factors to identify subgroups such as newly arrived families with young children to target resources (e.g., increase screening frequency) or enhance services (e.g., patient navigators) to relieve resource needs.

INTRODUCTION/BACKGROUND:Smoking is independently associated with erectile dysfunction and cardiovascular disease. Given existing similarities in the constituents of e-cigarettes or ENDS and cigarettes, this study examines the association between ENDS use and erectile dysfunction. METHODS:Data from Wave 4 (2016-2018) of the Population Assessment of Tobacco and Health study were analyzed in 2020. Male participants aged ≥20 years who responded to the erectile dysfunction question were included. Multivariable logistic regression models examined the association of ENDS use with erectile dysfunction within the full sample and in a restricted sample (adults aged 20-65 years with no previous cardiovascular disease diagnosis) while adjusting for multiple risk factors. RESULTS:The proportion of erectile dysfunction varied from 20.7% (full sample) to 10.2% (restricted sample). The prevalence of current ENDS use within the full and restricted samples was 4.8% and 5.6%, respectively, with 2.1% and 2.5%, respectively, reporting daily use. Current daily ENDS users were more likely to report erectile dysfunction than never users in both the full (AOR=2.24, 95% CI=1.50, 3.34) and restricted (AOR=2.41, 95% CI=1.55, 3.74) samples. In the full sample, cardiovascular disease history (versus not present) and age ≥65 years (versus age 20-24 years) were associated with erectile dysfunction (AOR=1.39, 95% CI=1.10, 1.77; AOR= 17.4, 95% CI=12.15, 24.91), whereas physical activity was associated with lower odds of erectile dysfunction in both samples (AOR range=0.44-0.58). CONCLUSIONS:The use of ENDS seems to be associated with erectile dysfunction independent of age, cardiovascular disease, and other risk factors. While ENDS remain under evaluation for harm reduction and smoking-cessation potential, ENDS users should be informed about the possible association between ENDS use and erectile dysfunction.

Unhealthy alcohol and drug use are among the top 10 causes of preventable death in the United States, but they are infrequently identified and addressed in medical settings. Guidelines recommend screening adult primary care patients for alcohol and drug use, and routine screening should be a component of high-quality clinical care. Brief, validated screening tools accurately detect unhealthy alcohol and drug use, and their thoughtful implementation can facilitate adoption and optimize the quality of screening results. Recommendations for implementation include patient self-administered screening tools, integration with electronic health records, and screening during routine primary care visits.