Faculty Bibliography

Background Metabolic syndrome (MetS) is associated with increased risk for cardiovascular disease, but there is heterogeneity in this risk. We evaluated whether high-sensitivity troponin T (hs-cTnT), a marker associated with cardiovascular disease, can stratify risk in MetS. Methods We evaluated associations between MetS (and groups with similar number of MetS components) and incident heart failure hospitalization, coronary heart disease, stroke and death using hs-cTnT categories after adjusting for risk factors/markers between 1996 and 2011 in 8204 individuals in the Atherosclerosis Risk In Communities study. Results The mean age of the population was 63 years (56% women, 19% Blacks). hs-cTnT levels were higher with MetS and with increasing MetS components. In individuals with MetS, higher hs-cTnT levels were associated with increased hazard ratios for heart failure, coronary heart disease and death. Within each number of MetS components, higher hs-cTnT was associated with progressively higher heart failure, coronary heart disease and death hazards. The association was particularly strong for heart failure. With increasing hs-cTnT categories, the hazard ratios (95% confidence interval) for heart failure in individuals with MetS increased gradually from 1.68 (1.31-2.16) to 3.76 (2.69-5.26) ( p-trend < 0.001) compared with those with MetS and hs-cTnT < 5 ng/l; and respective hazard ratios with increasing hs-cTnT categories in those with all five MetS components ranged from 2.22 (1.17-4.21) to 4.23 (1.89-9.50) ( p-trend 0.004) compared with those with all five MetS components and hs-cTnT < 5 ng/l. However, mostly there were no significant interactions of hs-cTnT with MetS or its components. Conclusion hs-cTnT is useful for identifying MetS patients with increased hazards for coronary heart disease, death and particularly heart failure.

Socioeconomic disadvantage is consistently linked with higher risk for internalizing problems, and stress is likely one important mechanism explaining this increased risk. Few studies have examined socioeconomic differences in hair cortisol, a novel biomarker of long-term adrenocortical activity and chronic stress. Moreover, no studies have examined whether differences in hair cortisol might explain socioeconomic disparities in internalizing problems. To address these gaps, we first examined relations of socioeconomic status (SES; family income and parental education) to variation in both parents' and children's hair cortisol concentrations (HCC) and then tested whether HCC and perceptions of stress mediated relations of SES to parents' and children's internalizing symptoms. Participants were a socioeconomically diverse sample of 35 parents and 26 children (ages 5-7). Parents completed questionnaires, and hair samples were collected from parents and children. Parents reported on children's internalizing symptoms on average 2 years after the initial visit. Results demonstrated that lower parental education was associated with higher HCC for both parents and children. Effects for child HCC held even after controlling for parent HCC. Lower family income was associated with higher parent HCC, but not child HCC. This relation was nonlinear, such that the relation between HCC and income was strongest among the most disadvantaged parents. Furthermore, associations of SES with parental anxiety were significantly mediated by parental perceptions of stress and marginally mediated by parent HCC. These findings suggest that socioeconomic disadvantage is associated with greater accumulation of cortisol in hair in parents and children, and that both perceived and biological markers of stress capture important facets of the experiences that underlie socioeconomic disparities in adult anxiety.

OBJECTIVE: We examined whether the negative relation between television viewing that exceeds the recommendations of the American Academy of Pediatrics (AAP) and school readiness varied by family income. METHODS: Data were collected from 807 children from diverse backgrounds. Parents reported hours of television viewing, as well as family income. Children were assessed using measures of math, knowledge of letters and words, and executive function (EF). RESULTS: Television viewing was negatively associated with math and EF but not with letter and word knowledge. An interaction between television viewing and family income indicated that the effect of television viewing in excess of the AAP recommended maximum had negative associations with math and EF that increased as a linear function of family income. Furthermore, EF partially mediated the relation between television viewing and math. CONCLUSION: Television viewing is negatively associated with children's school readiness skills, and this association increased as family income decreased. Active efforts to reinforce AAP guidelines to limit the amount of television children watch should be made, especially for children from middle- to lower-income families.

BACKGROUND:Motor vehicle traffic (MVT) crashes kill or seriously injure approximately 4250 people in New York City (NYC) each year. Traditionally, NYC surveillance practices use hospitalization and crash data separately to monitor trends in MVT-related injuries, but key information linking crash circumstances to health outcomes is lost when analyzing these data sources in isolation. Our objective was to match crash reports to hospitalization records to create a traffic injury surveillance dataset that can be used to describe crash circumstances and related injury outcomes. The linkage of the two systems presents a unique challenge since the system tracking crashes and the system tracking hospitalizations and emergency department (ED) visits lack key identifying data such as names and dates of birth. METHODS:NYC Department of Transportation provided electronic records based on reports of motor vehicle crashes submitted to the New York State Department of Motor Vehicles for all crashes occurring in NYC from 2009 to 2013. New York Statewide Planning and Research Cooperative System (SPARCS) ED and hospitalization administrative data from NYC hospitals were used to identify unintentional MVT-related injuries using external cause of injury codes. Since the two systems do not share unique individual identifiers, probabilistic record linkage was conducted using LinkSolv9.0. Sensitivity/specificity calculations and chi-square analyses of linkage rates were conducted to assess linkage results. RESULTS:From 2009-2013, there were 1,054,344 individuals involved in MVT crashes in NYC and 280,340 ED visits and hospitalizations from MVT-related injuries. There were 145,003 linked pairs, giving a linkage rate of 52% of the total MVT-related hospital records. This linkage had a sensitivity of 74% and a specificity of 93%. Linkage rates were comparable by age, sex, crash role, collision type, hospital county, injury location, hospital type, and hospital status, indicating no apparent biases in the match by these variables. CONCLUSIONS:Performing a probabilistic linkage between MVT crash reports and hospitalization records is possible with a limited set of identifying variables. These linked data will inform traffic safety policies by providing new information on how crash circumstances translate to health outcomes.