Faculty Bibliography

INTRODUCTION: Waterpipe smoking has become increasingly popular in adolescents. We examined the association of waterpipe smoking with cigarette smoking susceptibility and nicotine dependence among adolescents in Hong Kong. METHODS: We analyzed the data of School-based Survey on Smoking among Students 2012/13 from a representative sample of 45,857 secondary school students (US grades 7-12) in Hong Kong. Among never cigarette smokers (n=37,740), we conducted chi-square test to compare cigarette smoking susceptibility by current (past 30-day) waterpipe smoking status, and used multivariate logistic regression to examine the association between current waterpipe smoking and cigarette smoking susceptibility controlling for age, sex, peer cigarette smoking, and living with a cigarette smoker. Then we conducted chi-square test and multivariate logistic regression among current cigarette smokers (n=1694) to examine the relationship of current waterpipe smoking with two nicotine dependence outcomes, including heavier smoking (>/=5 cigarettes/day) and first cigarette within 30min of waking, controlling for demographics and the number of smoking days in the past 30days. RESULTS: Among never cigarette smokers, current waterpipe use was associated with cigarette smoking susceptibility (adjusted odds ratio [AOR]=3.58, 95% confidence interval [CI]: 1.61-7.97). Of current cigarette smokers, waterpipe use was associated with heavier smoking (AOR=1.56, 95% CI: 1.00-2.43) and first cigarette within 30min of waking (AOR=2.08, 95% CI: 1.35-3.19). CONCLUSIONS: Surveillance, prevention, and intervention programs should address waterpipe use in addition to cigarette smoking. Educational programs need to inform youth about the harmful and addictive effects of waterpipe smoking. Public health campaigns deglamourizing waterpipe use may help reduce waterpipe smoking among youth.

The period immediately after release from prison or jail carries increased mortality risk. This study sought to better understand postrelease death by matching electronic health records from those incarcerated in New York City jails between 2011 and 2012 with vital statistics records. The in-jail and 6-week postrelease mortality rates were estimated to be 1.39 and 5.89 per 1,000 person-years, respectively. Of 59 deaths occurring within 6 weeks of release from jail, the causes included opioid overdose (37.3%), other drugs (8.5%), chronic disease (25.4%), assaultive trauma (20.3%), and other trauma (8.5%). These data confirm that overdose death accounts for the most frequent cause of postrelease death. Matching between correctional health systems and vital statistics can inform quality improvement efforts in jail health care delivery.

OBJECTIVE: Determine maternal and infant characteristics associated with adding cereal into the bottle. DESIGN: Secondary data analysis. PARTICIPANTS: Study participants were immigrant, low-income, urban mother-infant dyads (n = 216; 91% Hispanic, 19% US-born) enrolled in a randomized controlled trial entitled the Bellevue Project for Early Language, Literacy and Education Success. MAIN OUTCOME MEASURES: Maternal characteristics (age, marital status, ethnicity, primary language, country of origin, education, work status, income, depressive symptoms, and concern about infant's future weight) and infant characteristics (gender, first born, and difficult temperament). ANALYSIS: Fisher exact test, chi-square test, and simultaneous multiple logistic regression of significant (P < .05) variables identified in unadjusted analyses. RESULTS: Twenty-seven percent of mothers added cereal into the bottle. After adjusting for confounding variables identified in bivariate analyses, mothers who were single (P = .02), had moderate to severe depressive symptoms (P = .01) and perceived their infant had a difficult temperament (P = .03) were more likely to add cereal into the bottle. Conversely, mothers who expressed concern about their infants becoming overweight were less likely to add cereal (P = .02). CONCLUSIONS AND IMPLICATIONS: Health care providers should screen for adding cereal in infant bottles. Further research is needed to investigate the impact of adding cereal into the bottle on weight trajectories over time. Causal associations also need to be identified to effectively prevent this practice.

Longitudinal studies of cognitive performance are sensitive to dropout, as participants experiencing cognitive deficits are less likely to attend study visits, which may bias estimated associations between exposures of interest and cognitive decline. Multiple imputation is a powerful tool for handling missing data, however its use for missing cognitive outcome measures in longitudinal analyses remains limited. We use multiple imputation by chained equations (MICE) to impute cognitive performance scores of participants who did not attend the 2011-2013 exam of the Atherosclerosis Risk in Communities Study. We examined the validity of imputed scores using observed and simulated data under varying assumptions. We examined differences in the estimated association between diabetes at baseline and 20-year cognitive decline with and without imputed values. Lastly, we discuss how different analytic methods (mixed models and models fit using generalized estimate equations) and choice of for whom to impute result in different estimands. Validation using observed data showed MICE produced unbiased imputations. Simulations showed a substantial reduction in the bias of the 20-year association between diabetes and cognitive decline comparing MICE (3-4 % bias) to analyses of available data only (16-23 % bias) in a construct where missingness was strongly informative but realistic. Associations between diabetes and 20-year cognitive decline were substantially stronger with MICE than in available-case analyses. Our study suggests when informative data are available for non-examined participants, MICE can be an effective tool for imputing cognitive performance and improving assessment of cognitive decline, though careful thought should be given to target imputation population and analytic model chosen, as they may yield different estimands.

The American Thoracic Society has previously published statements on what constitutes an adverse effect on health of air pollution in 1985 and 2000. We set out to update and broaden these past statements that focused primarily on effects on the respiratory system. Since then, many studies have documented effects of air pollution on other organ systems, such as on the cardiovascular and central nervous systems. In addition, many new biomarkers of effects have been developed and applied in air pollution studies.This current report seeks to integrate the latest science into a general framework for interpreting the adversity of the human health effects of air pollution. Rather than trying to provide a catalogue of what is and what is not an adverse effect of air pollution, we propose a set of considerations that can be applied in forming judgments of the adversity of not only currently documented, but also emerging and future effects of air pollution on human health. These considerations are illustrated by the inclusion of examples for different types of health effects of air pollution.

BACKGROUND: Almost half of adult men in Vietnam are current cigarette smokers. Recent surveys also suggest a high prevalence of water pipe use, particularly in rural areas. Yet services to treat tobacco dependence are not readily available. The purpose of this study was to characterize current tobacco use treatment patterns among Vietnamese health care providers and factors influencing adherence to recommended guidelines for tobacco use screening and cessation interventions for water pipe, cigarette and dual users. METHODS: We conducted cross sectional surveys of 929 male current tobacco users immediately after they completed a primary care visit at one of 18 community health centers. RESULTS: Thirty-four percent of smokers used cigarettes only, 24% water pipe only, and 42% were dual users. Overall 12% of patients reported that a provider asked them if they used tobacco products during the visit. Providers were significantly more likely to screen cigarette smokers compared with water pipe or dual users (16%, 9% and 11% respectively). Similarly, 9% of current cigarette smokers received advice to quit compared to 6% of water pipe and 5% of dual users. No patients reported that their health care provider offered them assistance to quit (e.g., self-help materials, referral). CONCLUSION: Despite ratifying the Framework Convention on Tobacco Control, Vietnam has not made progress in implementing policies and systems to ensure smokers are receiving evidence-based treatment. High rates of water pipe and dual use indicate a need for health care provider training and policy changes to facilitate treatment for both cigarette and water pipe use.

PURPOSE: To examine if there was spatial misclassification in exposure to neighborhood noise complaints among a sample of low-income housing residents in New York City, comparing home-based spatial buffers and Global Positioning System (GPS) daily path buffers. METHODS: Data came from the community-based NYC Low-Income Housing, Neighborhoods and Health Study, where GPS tracking of the sample was conducted for a week (analytic n = 102). We created a GPS daily path buffer (a buffering zone drawn around GPS tracks) of 200 m and 400 m. We also used home-based buffers of 200 m and 400 m. Using these "neighborhoods" (or exposure areas), we calculated neighborhood exposure to noisy events from 311 complaints data (analytic n = 143,967). Friedman tests (to compare overall differences in neighborhood definitions) were applied. RESULTS: There were differences in neighborhood noise complaints according to the selected neighborhood definitions (P < .05). For example, the mean neighborhood noise complaint count was 1196 per square kilometer for the 400-m home-based and 812 per square kilometer for the 400-m activity space buffer, illustrating how neighborhood definition influences the estimates of exposure to neighborhood noise complaints. CONCLUSIONS: These analyses suggest that, whenever appropriate, GPS neighborhood definitions can be used in spatial epidemiology research in spatially mobile populations to understand people's lived experience.

Data from a cross-sectional study of a clinic-based sample of older people living with HIV (PLWH; n = 100) were used to examine associations between biomarkers of physical health and neurocognitive impairment (NCI). In this sample, anemia, chronic kidney disease (CKD) stages 4-5, and hypocalcemia were associated with impairment in executive functioning or processing speed. Furthermore, participants with anemia were more likely to have CD4+ T cell counts <200 cells/mm3 (chi2 [1] = 19.57, p < .001); hypocalcemia (chi2 [1] = 17.55, p < .001); and CKD 4-5 (chi2 [2] = 10.12, p = .006). Black and Hispanic participants were more likely to be anemic compared to other races and ethnicities (chi2 [3] = 12.76, p = .005). Common medical conditions (e.g., anemia, hypocalcemia, CKD) should be investigated as potential contributors to NCI in older PLWH. Additionally, laboratory testing in racial/ethnic minority PLWH may help inform NCI screening.

BACKGROUND/OBJECTIVES: Maternal obesity may influence neonatal and childhood morbidities through increased inflammation and/or altered immune response. Less is known about paternal obesity. We hypothesized that excessive parental weight contributes to elevated inflammation and altered immunoglobulin (Ig) profiles in neonates. SUBJECTS/METHODS: In the Upstate KIDS Study maternal pre-pregnancy body mass index (BMI) was obtained from vital records and paternal BMI from maternal report. Biomarkers were measured from newborn dried blood spots (DBS) among neonates whose parents provided consent. Inflammatory scores were calculated by assigning one point for each of five pro-inflammatory biomarkers above the median and one point for an anti-inflammatory cytokine below the median. Linear regression models and generalized estimating equations were used to estimate mean differences (beta) and 95% confidence intervals (CI) in the inflammatory score and Ig levels by parental overweight/obesity status compared with normal weight. RESULTS: Among 2974 pregnancies, 51% were complicated by excessive maternal weight (BMI>25), 73% by excessive paternal weight and 28% by excessive gestational weight gain. Maternal BMI categories of overweight (BMI 25.0-29.9) and obese class II/III (BMI>/=35) were associated with increased neonatal inflammation scores (beta=0.12, 95% CI: 0.02, 0.21; P=0.02 and beta=0.13, CI: -0.002, 0.26; P=0.05, respectively) but no increase was observed in the obese class I group (BMI 30-34.9). Mothers with class I and class II/III obesity had newborns with increased IgM levels (beta=0.11, CI: 0.04, 0.17; P=0.001 and beta=0.12, CI: 0.05, 0.19); P<0.001, respectively). Paternal groups of overweight, obese class I and obese class II/III had decreased neonatal IgM levels (beta=-0.08, CI: -0.13,-0.03, P=0.001; beta=-0.07, CI: -0.13, -0.01, P=0.029 and beta=-0.11, CI:-0.19,-0.04, P=0.003, respectively). CONCLUSIONS: Excessive maternal weight was generally associated with increased inflammation and IgM supporting previous observations of maternal obesity and immune dysregulation in offspring. The role of paternal obesity requires further study.