Faculty Bibliography

As many as 50% of people satisfying diagnostic criteria for dementia are undiagnosed. A team-based training program for dementia screening and management was developed targeting four professions (medicine, nursing, pharmacy, social work) whose scope of practice involves dementia care. An interprofessional group of 10 faculty members was trained to facilitate four interactive competency stations on dementia screening, differential diagnoses, dementia management and team care planning, and screening for and managing caregiver stress. Registrants were organized into teams of five members, with at least one member of each profession per team. The teams rotated through all stations, completing assigned tasks through interprofessional collaboration. A total of 117 professionals (51 physicians, 11 nurses, 20 pharmacists, 24 social workers, 11 others) successfully completed the program. Change scores showed significant improvements in overall competence in dementia assessment and intervention (very low = 1; very high = 5; average change 1.12, P < .001), awareness of importance of dementia screening (average change 0.85, P < .001), and confidence in managing medication (average change 0.86, P < .001). Eighty-seven participants (82.9%) reported feeling confident or very confident using the dementia toolkit at their home institution. In a survey administered 3 months after the session, 48 respondents reported that they had changed their approach to administering the Mini-Cog test (78%), differential diagnosis (49%), assessment of caregiver stress (74%), and accessing community support and services (69%). In conclusion, team-based interprofessional competency training is a team teaching model that can be used to enhance competency in dementia screening and management in medical, nursing, pharmacy, and social work practitioners.

Early stress exposure is proposed to have significant lasting effects on cognitive development. The glucocorticoid hormone cortisol, a product of the hypothalamic-pituitary-adrenal (HPA) axis, is a particular focus of research, however, the majority of past research has been based on studies of older children and adults. Evidence linking cortisol levels in infancy with cognitive development is lacking. In a large cohort sample of infants (N = 1,091) oversampled for psychosocial risk, we tested whether basal cortisol levels and cortisol reactivity to emotional stressors administered at 7 and 15 months of age were associated with cognitive development measured at 15 months. Cognitive development was measured using the Mental Development Index of the Bayley Scales of Infant Development. Multiple regression analyses indicated that basal cortisol levels at 15 months, and to a lesser extent at 7 months, were inversely associated with infant cognitive development after adjusting for psychosocial and obstetric risk. The findings provide some of the first evidence that HPA axis activity in infancy is associated with early cognitive development.

Executive functions are thinking skills that assist with reasoning, planning, problem solving, and managing one's life. The brain areas that underlie these skills are interconnected with and influenced by activity in many different brain areas, some of which are associated with emotion and stress. One consequence of the stress-specific connections is that executive functions, which help us to organize our thinking, tend to be disrupted when stimulation is too high and we are stressed out, or too low when we are bored and lethargic. Given their central role in reasoning and also in managing stress and emotion, scientists have conducted studies, primarily with adults, to determine whether executive functions can be improved by training. By and large, results have shown that they can be, in part through computer-based videogame-like activities. Evidence of wider, more general benefits from such computer-based training, however, is mixed. Accordingly, scientists have reasoned that training will have wider benefits if it is implemented early, with very young children as the neural circuitry of executive functions is developing, and that it will be most effective if embedded in children's everyday activities. Evidence produced by this research, however, is also mixed. In sum, much remains to be learned about executive function training. Without question, however, continued research on this important topic will yield valuable information about cognitive development. For further resources related to this article, please visit the WIREs website.

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.

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.

BACKGROUND: Public schools provide students with opportunities to participate in many discretionary, unmandated wellness programs. Little is known about the number of these programs, their distribution across schools, and the kinds of students served. We provide evidence on these questions for New York City (NYC) public schools. METHODS: Data on wellness programs were collected from program websites, NYC's Office of School Food and Wellness, and direct contact with program sponsors for 2013. Programs were grouped into categories, nutrition, fitness, and comprehensive, and were combined with data on school characteristics available from NYC's Department of Education. Numbers of programs and provision of programs were analyzed for relationships with demographic and school structural characteristics, using descriptive statistics and multiple regression. RESULTS: Discretionary wellness programs are numerous, at 18 programs. Little evidence supports inequity according to student race/ethnicity, income, or nativity, but high schools, new schools, co-located schools, small schools, and schools with larger proportions of inexperienced teachers are less likely to provide wellness programs. CONCLUSIONS: Opportunities exist to further the reach of wellness programs in public schools by modifying them for high school adoption and building capacity in schools less likely to have the administrative support to house them.

BACKGROUND: While primary care work conditions are associated with adverse clinician outcomes, little is known about the effect of work condition interventions on quality or safety. DESIGN: A cluster randomized controlled trial of 34 clinics in the upper Midwest and New York City. PARTICIPANTS: Primary care clinicians and their diabetic and hypertensive patients. INTERVENTIONS: Quality improvement projects to improve communication between providers, workflow design, and chronic disease management. Intervention clinics received brief summaries of their clinician and patient outcome data at baseline. MAIN MEASURES: We measured work conditions and clinician and patient outcomes both at baseline and 6-12 months post-intervention. Multilevel regression analyses assessed the impact of work condition changes on outcomes. Subgroup analyses assessed impact by intervention category. KEY RESULTS: There were no significant differences in error reduction (19 % vs. 11 %, OR of improvement 1.84, 95 % CI 0.70, 4.82, p = 0.21) or quality of care improvement (19 % improved vs. 44 %, OR 0.62, 95 % CI 0.58, 1.21, p = 0.42) between intervention and control clinics. The conceptual model linking work conditions, provider outcomes, and error reduction showed significant relationships between work conditions and provider outcomes (p