Faculty Bibliography

Although pediatricians routinely counsel parents about preventing childhood injuries, we know little about parents' locus of control (LOC) in regards to preventing their children from being injured. We performed an observational analysis of sociodemographic differences in LOC for injury prevention, as measured by four items adapted from the Parental Health Beliefs Scales, in English- and Spanish-speaking parents of infants participating in the treatment arm of an obesity prevention study. First, we examined associations of parental LOC for injury prevention at the time their children were 2 months old with parents' age, race/ethnicity, income, and education. Next, we analyzed time trends for repeated LOC measures when the children were 2, 6, 9, 12, and 24 months old. Last, we examined the association between injury-related LOC items and children's injury (yes/no) at each time point. Of 452 parents, those with lower incomes had both lower internal and higher external LOC. Lower educational achievement was associated with higher external LOC. Both internal and external LOC scores decreased over time. Injuries were more common in children whose parents endorsed low internal and high external LOC. Future studies should examine whether primary care-based interventions can increase parents' sense of control over their children's safety and whether that, in turn, is associated with lower injury rates.Clinical Trial Registration: NCT01040897.

OBJECTIVE:Electronic health records (EHRs) have become a common data source for clinical risk prediction, offering large sample sizes and frequently sampled metrics. There may be notable differences between hospital-based EHR and traditional cohort samples: EHR data often are not population-representative random samples, even for particular diseases, as they tend to be sicker with higher healthcare utilization, while cohort studies often sample healthier subjects who typically are more likely to participate. We investigate heterogeneities between EHR- and cohort-based inferences including incidence rates, risk factor identifications/quantifications, and absolute risks. MATERIALS AND METHODS/METHODS:This is a retrospective cohort study of older patients with type 2 diabetes using EHR from New York University Langone Health ambulatory care (NYULH-EHR, years 2009-2017) and from the Health and Retirement Survey (HRS, 1995-2014) to study subsequent cardiovascular disease (CVD) risks. We used the same eligibility criteria, outcome definitions, and demographic covariates/biomarkers in both datasets. We compared subsequent CVD incidence rates, hazard ratios (HRs) of risk factors, and discrimination/calibration performances of CVD risk scores. RESULTS:The estimated subsequent total CVD incidence rate was 37.5 and 90.6 per 1000 person-years since T2DM onset in HRS and NYULH-EHR respectively. HR estimates were comparable between the datasets for most demographic covariates/biomarkers. Common CVD risk scores underestimated observed total CVD risks in NYULH-EHR. DISCUSSION AND CONCLUSION/CONCLUSIONS:EHR-estimated HRs of demographic and major clinical risk factors for CVD were mostly consistent with the estimates from a national cohort, despite high incidences and absolute risks of total CVD outcome in the EHR samples.

BACKGROUND:The purpose of this study was to compare the effects of cognitive-behavioral therapy (CBT) and yoga on late-life worry, anxiety, and sleep; and examine preference and selection effects on these outcomes. METHODS:A randomized preference trial of CBT and yoga was conducted in community-dwelling adults 60 years or older, who scored 26 or above on the Penn State Worry Questionnaire-Abbreviated (PSWQ-A). CBT consisted of 10 weekly telephone sessions. Yoga consisted of 20 biweekly group yoga classes. The primary outcome was worry (PSWQ-A); the secondary outcomes were anxiety (PROMIS-Anxiety) and sleep (Insomnia Severity Index [ISI]). We examined both preference effects (average effect for those who received their preferred intervention [regardless of whether it was CBT or yoga] minus the average for those who did not receive their preferred intervention [regardless of the intervention]) and selection effect (which addresses the question of whether there is a benefit to getting to select one intervention over the other, and measures the effect on outcomes of self-selection to a specific intervention). RESULTS:Five hundred older adults were randomized to the randomized trial (125 each in CBT and yoga) or the preference trial (120 chose CBT; 130 chose yoga). In the randomized trial, the intervention effect of yoga compared with CBT adjusted for baseline psychotropic medication use, gender, and race was 1.6 (-0.2, 3.3), p = .08 for the PSWQ-A. Similar results were observed with PROMIS-Anxiety (adjusted intervention effect: 0.3 [-1.5, 2.2], p = .71). Participants randomized to CBT experienced a greater reduction in the ISI compared with yoga (adjusted intervention effect: 2.4 [1.2, 3.7], p < .01]). Estimated in the combined data set (N = 500), the preference and selection effects were not significant for the PSWQ-A, PROMIS-Anxiety, and ISI. Of the 52 adverse events, only two were possibly related to the intervention. None of the 26 serious adverse events were related to the study interventions. CONCLUSIONS:CBT and yoga were both effective at reducing late-life worry and anxiety. However, a greater impact was seen for CBT compared with yoga for improving sleep. Neither preference nor selection effects was found.

BACKGROUND:Powered, two-wheeled transportation devices like electric bicycles (E-bikes) and scooters are increasingly popular, but little is known about their relative injury risk compared to pedal operated bicycles. METHODS:Descriptive and comparative analysis of injury patterns and trends associated with E-bikes, powered scooters and pedal bicycles from 2000 to 2017 using the US National Electronic Injury Surveillance System. RESULTS:While persons injured using E-bikes were more likely to suffer internal injuries (17.1%; 95% CI 5.6 to 28.6) and require hospital admission (OR=2.8, 95% CI 1.3 to 6.1), powered scooter injuries were nearly three times more likely to result in a diagnosis of concussion (3% of scooter injuries vs 0.5% of E-bike injuries). E-bike-related injuries were also more than three times more likely to involve a collision with a pedestrian than either pedal bicycles (OR=3.3, 95% CI 0.5 to 23.6) or powered scooters (OR=3.3, 95% CI 0.3 to 32.9), but there was no evidence that powered scooters were more likely than bicycles to be involved in a collision with a pedestrian (OR=1.0, 95% CI 0.3 to 3.1). While population-based rates of pedal bicycle-related injuries have been decreasing, particularly among children, reported E-bike injuries have been increasing dramatically particularly among older persons. CONCLUSIONS:E-bike and powered scooter use and injury patterns differ from more traditional pedal operated bicycles. Efforts to address injury prevention and control are warranted, and further studies examining demographics and hospital resource utilisation are necessary.

Multiple clinical guidelines recommend an ACE (angiotensin-converting enzyme) inhibitor or angiotensin II receptor blocker (ARB) in patients with elevated albuminuria, which can be measured through urine albumin-to-creatinine ratio (ACR), protein-to-creatinine ratio, or dipstick. However, how albuminuria test results relate to the prescription of ACE inhibitor/ARB is uncertain. We identified individuals with an ACR measurement between January 1, 2004, and June 30, 2018, and no contraindications or allergy to ACE inhibitor/ARB. We performed multivariable logistic regression analyses to evaluate the association between ACR level and prescription of ACE inhibitor/ARB within 6 months after the test. We applied similar methods to investigate the association of protein-to-creatinine ratio and dipstick measurement results with the prescription of ACE inhibitor/ARB. Among 67 237 individuals with an ACR measurement, 47.7% were already taking an ACE inhibitor or ARB at the time of first ACR measurement. Among the 35 138 individuals who were not on ACE inhibitor/ARB, those with higher ACR levels were more likely to be prescribed ACE inhibitor/ARB in the following 6 months, with steep increases in prescriptions until ACR 300 mg/g, after which the association plateaued. The majority (80.9%) of ACE inhibitor/ARB prescriptions were made by family medicine and internal medicine. A similar pattern held in the cohorts tested by protein-to-creatinine ratio and dipstick measurement. Our study provides evidence that albuminuria test results change patient care, suggesting that adherence to albuminuria testing is a key step in optimal medical management.

Food carts are common along streets in cities throughout the world. In North America, food cart vendors generally use propane, charcoal, or both propane and charcoal (P and C) for food preparation. Although cooking emissions are known to be a major source of indoor air pollution, there is limited knowledge on outdoor cooking's impact on the ambient environment and, in particular, the relative contribution of the different cooking fuels. This field study investigated the air pollution the public is exposed to in the micro-environment around 19 food carts classified into 3 groups: propane, charcoal, and P and C carts. Concentrations near the food carts were measured using both real-time and filter-based methods. Mean real-time concentrations of PM_2.5, BC_2.5, and particle counts were highest near the charcoal food carts: 196 μg/m³, 5.49 μg/m³, and 69,000 particles/cm³, respectively, with peak exposures of 1520 μg/m³, 67.9 μg/m³, and 235,000 particles/cm³, respectively. In order of pollution emission impacts: charcoal > P and C > propane carts. Thus, significant differences in air pollution emissions occurred in the vicinity of mobile food carts, depending on the fuel used in food preparation. Local air pollution polices should consider these emission factors in regulating food cart vendor operations.