Faculty Bibliography

Perfluoroalkyl substances (PFAS) were among various persistent organic pollutants suspected to have been released during the collapse of the World Trade Center (WTC) on 9/11. Evidence on the association between prenatal PFAS exposure and child neurodevelopment is limited and inconsistent. This study evaluated the association between prenatal PFAS exposure and child cognitive outcomes measured at 5 different time points in a population prenatally exposed to the WTC disaster. The study population included 302 pregnant women in the Columbia University WTC birth cohort enrolled between December 13, 2001 and June 26, 2002 at three hospitals located near the WTC site: Beth Israel, St. Vincent's, and New York University Downtown. We evaluated the association between prenatal exposure to four PFAS (perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorohexanesulfonic acid (PFHxS), perfluorononanoic acid (PFNA)) and child neurodevelopment measured using the Bayley Scales of Infant Development (BSID-II) at approximately 1, 2 and 3 years of age and using The Wechsler Preschool and Primary Scale of Intelligence (WPPSI) at approximately 4 and 6 years of age. Geometric mean (range) concentrations of PFAS were 6.03 (1.05, 33.7), 2.31 (0.18, 8.14), 0.43 (<LOQ, 10.3) and 0.67 (<LOQ, 15.8) ng/mL for PFOS, PFOA, PFNA and PFHxS, respectively. Several PFAS were associated with increases in cognitive outcomes in females and overall (males and females combined). Child sex modified the association between PFOS and the mental development index measured using BSID-II, with the observed relationship being positive for females and negative for males. Through principal component analyses, we observed a negative relationship between PFNA and the psychomotor development index measured using BSID-II and the verbal IQ measured using WPPSI. Our results suggest a sex- and compound-specific relationship between prenatal PFAS exposures and childhood neurodevelopment.

Background We developed a risk model to predict hospitalization for bleeding within 6 months of discharge in older adults hospitalized for acute MI (AMI) and discharged on dual antiplatelet therapy (DAPT). Methods SILVER-AMI is a cohort study of 3041 patients age >=75 hospitalized with AMI at 96 U.S. hospitals. Participants underwent in-hospital functional assessment (cognition, vision, hearing, unintentional weight loss, ADLs, grip strength, functional mobility, falls). These analyses focused on participants discharged on DAPT (N=1858). Our outcome was rehospitalization for bleeding within 6 months. We used Bayesian model averaging to develop a risk model with split sample validation. Results Mean age was 81.5 years. Compared with participants not prescribed DAPT, those prescribed DAPT had slightly better functional mobility and lower cognitive impairment. Overall, 150 (8.1%) participants on DAPT experienced hospitalization for bleeding within 6 months; nearly half (48.7%) were gastrointestinal. Rates of functional impairments were similar among participants who did and did not experience bleeding. The final risk model included 8 predictors (Table), had moderate discrimination (C-statistic = 0.66), and good calibration (Hosmer-Lemeshow P value > 0.05). Conclusion Hospitalization for bleeding within 6 months of discharge on DAPT among older AMI patients was not predicted by aging-related functional impairments, but 8 other clinically plausible predictors were identified. [Figure presented]
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Background We sought to examine whether people with a diagnosis of cardiovascular disease (CVD) experienced a greater incidence of subsequent cognitive impairment (CI) compared to people without CVD, as suggested by prior studies, using a large longitudinal cohort. Methods We used biennial data collected on adults age >=50 from the Health and Retirement Study (HRS) to compare the incidence of CI over 8 years in 1,931 participants newly diagnosed with CVD vs. 3,862 age- and gender-matched controls. Diagnosis of CVD was adjudicated with an established HRS methodology. CI was defined as <=11 on the 27-point Telephone Interview for Cognitive Status, based on a previously accepted clinical cutpoint. To examine the incidence of CI, we used a cumulative incidence function accounting for competing risk of death. Results Mean age at study entry was 70 years, and 55% were female. CI developed in 1,335 participants over 8 years. Death was more common among participants with incident CVD (20.4% vs. 13.4%, p <.001). Cumulative incidence analysis for CI, after adjusting for death, showed no significant difference in incidence of cognitive impairment between the CVD and control groups at the end of the study period (Figure). Conclusion We found no increased risk of subsequent cognitive impairment among participants with CVD (compared with no CVD), despite previous research indicating that CVD accelerates cognitive decline. This finding may be due to appropriately accounting for the competing risk of death. [Figure presented]
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(1) Background: Variants of the interleukin-1 receptor antagonist (IL1RN) gene, encoding an anti-inflammatory cytokine, are associated with asthma. Asthma is a chronic inflammatory disease of the airway influenced by interactions between genetic variants and environmental factors. We discovered a gene-environment interaction (GEI) of IL1RN polymorphisms with childhood environmental tobacco smoke (ETS) exposure on asthma susceptibility in an urban adult population. (2) Methods: DNA samples from the NYU/Bellevue Asthma Registry were genotyped for tag SNPs in IL1RN in asthma cases and unrelated healthy controls. Logistic regressions were used to study the GEI between IL1RN variants and childhood ETS exposures on asthma and early onset asthma, respectively, adjusting for population admixture and other covariates. (3) Results: Whereas the rare genotypes of IL1RN SNPs (e.g., GG in SNP rs2234678) were associated with decreased risk for asthma among those without ETS exposure (odds ratio OR = 0.215, p = 0.021), they are associated with increased risk for early onset asthma among those with childhood ETS (OR = 4.467, p = 0.021). (4) Conclusions: We identified a GEI between polymorphisms of IL1RN and childhood ETS exposure in asthma. Analysis of GEI indicated that childhood ETS exposure disrupted the protective effect of some haplotypes/genotypes of IL1RN for asthma and turned them into high-risk polymorphisms for early onset asthma.

From April 2016 to June 2017, the Health + Housing Project employed four community health workers who engaged residents of two subsidized housing buildings in New York City to address individuals' broadly defined health needs, including social and economic risk factors. Following the intervention, we observed significant improvements in residents' food security, ability to pay rent, and connection to primary care. No immediate change was seen in acute health care use or more narrowly defined health outcomes. (Am J Public Health. Published online ahead of print March 19, 2020: e1-e4. doi:10.2105/AJPH.2019.305544).

INTRODUCTION:Though many interventions have been shown to be effective in helping smokers quit, outcomes may differ between light and heavy smokers. We identified differences in baseline characteristics and post-intervention cessation rates among smoker groups at two safety-net hospitals. METHODS:We retrospectively analyzed cessation rates in 1604 patients randomized to either a quitline referral (1-2 telephone counseling sessions) or intensive counseling program (seven telephone sessions). Participants were stratified into light-intermittent (smoked on ≤24 of last 30 days), light-daily (smoked on >24/30 days, 1-9 cigarettes per day [CPD]), or heavy smokers (smoked on >24/30 days, ≥10 CPD). We compared baseline characteristics between smoker types using chi-squared tests, then identified predictors of 30-day abstinence using a multivariable model. RESULTS:Compared with light-daily and light-intermittent smokers, heavy smokers were more likely to be white, male, concomitant e-cigarette users, to have high-risk alcohol use, to have used quitting aids previously, to have current or lifetime substance use (excluding cannabis), and have lower confidence in quitting. However, in multivariable analysis, smoker type was not significantly associated with cessation. The statistically significant predictors of cessation at 6 months were higher confidence in quitting and enrollment in the intensive counseling intervention. CONCLUSIONS:Smoker type (light-intermittent, light-daily, or heavy) does not independently predict success in a cessation program. However, smoker type is strongly associated with patients' confidence in quitting, which may be one predictor of cessation. IMPLICATIONS:This study of two safety-net hospitals emphasizes that the number of cigarettes smoked per day does not independently predict smoking cessation. Additionally, heavy smokers are at highest risk for the detrimental health effects of tobacco, yet have lower confidence and motivation to quit. Confidence in quitting may be one factor that affects cessation rates; however, further study is needed to identify which other attributes predict cessation. These findings suggest that smoker type may still be a useful proxy for predicting cessation and that interventions specifically designed for and validated in heavy smokers are needed to better aid these individuals.

BACKGROUND:Becoming a parent is a time of both joy and stress. Associations between exposure to postnatal depression and negative child outcomes underscore the importance of understanding trajectories and correlates of perinatal depression and anxiety. METHODS:In a study of 438 expectant couples (from the UK, USA and Netherlands) tracked across four time-points (third trimester, 4, 14 and 24 months), we used dyadic latent growth curve modeling (LGCM) of self-reported symptoms of anxiety and depression (CES-D, GHQ, STAI) to investigate the affective impact of becoming a parent. RESULTS:Confirmatory factor analyses of anxious-depressive symptoms revealed a single latent factor with measurement invariance across time and parent. Dyadic LGCM intercepts showed greater prenatal problems in mothers compared with fathers. LGCM slopes revealed stable maternal problems but worsening paternal problems. Both intercepts and slopes showed significant within-couple associations. Controlling for prenatal salivary cortisol levels and perinatal couple relationship quality, support from friends attenuated mothers' psychological distress and support from family reduced fathers' psychological distress across the transition to parenthood. LIMITATIONS:Our sample was low risk (i.e., predominantly well-educated and affluent and no history of serious mental illness), limiting the generalizability of findings. In addition, the inverse association between psychological distress and social support may, in part, reflect the use of self-report for both measures. CONCLUSIONS:The international dyadic longitudinal design strengthens conclusions regarding variation in trajectories of psychological distress in both mothers and fathers. Crucially, social support appears pivotal in enabling new parents to flourish.

BACKGROUND:Despite the large body of literature evaluating interventions to improve hypertension management, few studies have addressed seasonal variation in blood pressure (BP) control. This underreported phenomenon has implications for interpreting study findings and informing clinical care. We share a methodology that accounts for BP seasonality, presented through a case study - HealthyHearts NYC, an intervention aimed at increasing adherence to the Million Hearts BP control evidence-based guidelines in primary care practices. METHODS:We used a randomized stepped-wedge design (n = 257 practices). Each intervention included 13 visits from practice facilitators trained in improving practice-level BP control over 12 months. Two models were used to assess the intervention effect-one that did not account for seasonality (Model 1) and one that did (Model 2). Model 2 was a re-specification of Model 1 to include our proposed two fixed-effects terms to address BP seasonality. RESULTS:Model 1 showed a significant negative association between the intervention and BP control (IRR=0.98, 95% CI=0.96-0.99, p=<.05). In contrast, Model 2, which did address seasonality, showed no intervention effect on BP control (IRR = 0.99, 95% CI=0.97-1.01, p=.19). CONCLUSIONS:These findings reveal that analyses that do not account for BP seasonality may not present an accurate picture of intervention effects. In our case study, accounting for BP seasonality turned a negative association into a null association. We recommend that when evaluating BP control, studies compare outcome measures across similar seasons and that the measurement period last long enough to account for seasonal effects. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT02646488.

Using data from the United States Behavioral Risk Factor Surveillance System (2003-2012; N = 3,397,124 adults), we estimated associations between prevalent diabetes and four county-level exposures (fast food restaurant density, convenience store density, unemployment, active commuting). All associations confirmed our a priori hypotheses in conventional multilevel analyses that pooled across years. In contrast, using a random-effects within-between model, we found weak, ambiguous evidence that within-county changes in exposures were associated with within-county change in odds of diabetes. Decomposition revealed that the pooled associations were largely driven by time-invariant, between-county factors that may be more susceptible to confounding versus within-county associations.