Faculty Bibliography

BACKGROUND:Because of the strong link between childhood obesity and adulthood obesity comorbidities, and the difficulty in decreasing body mass index (BMI) later in life, effective strategies are needed to address this condition in early childhood. The ability to predict obesity before age five could be a useful tool, allowing prevention strategies to focus on high risk children. The few existing prediction models for obesity in childhood have primarily employed data from longitudinal cohort studies, relying on difficult to collect data that are not readily available to all practitioners. Instead, we utilized real-world unaugmented electronic health record (EHR) data from the first two years of life to predict obesity status at age five, an approach not yet taken in pediatric obesity research. METHODS AND FINDINGS/RESULTS:We trained a variety of machine learning algorithms to perform both binary classification and regression. Following previous studies demonstrating different obesity determinants for boys and girls, we similarly developed separate models for both groups. In each of the separate models for boys and girls we found that weight for length z-score, BMI between 19 and 24 months, and the last BMI measure recorded before age two were the most important features for prediction. The best performing models were able to predict obesity with an Area Under the Receiver Operator Characteristic Curve (AUC) of 81.7% for girls and 76.1% for boys. CONCLUSIONS:We were able to predict obesity at age five using EHR data with an AUC comparable to cohort-based studies, reducing the need for investment in additional data collection. Our results suggest that machine learning approaches for predicting future childhood obesity using EHR data could improve the ability of clinicians and researchers to drive future policy, intervention design, and the decision-making process in a clinical setting.

Background/UNASSIGNED:Goals for Eating and Moving (GEM) is a technology-assisted health coaching intervention to improve weight management in primary care at the Veterans Health Administration (VHA) that we designed through prior rigorous formative studies. GEM is integrated within the patient-centered medical home and utilizes student health coach volunteers to counsel patients and encourage participation in VHA's intensive weight management program, MOVE!. The primary aim of this study was to determine the feasibility and acceptability of GEM when compared to Enhanced Usual Care (EUC). Our secondary aim was to test the impact of GEM on weight, diet and physical activity when compared to EUC. Methods/UNASSIGNED: = 23). We collected process measures (e.g. number of coaching calls completed, number and types of lifestyle goals, counseling documentation) and qualitative feedback on quality of counseling and acceptability of call duration. We also measured weight and behavioral outcomes. Results/UNASSIGNED: = 21) tended to lose more weight at 3-, 6-, and 12-months as compared to EUC, but this was not statistically significant. There were no significant differences in diet or physical activity. Conclusions/UNASSIGNED:We found that a technology assisted health coaching intervention delivered within primary care using student health coaches was feasible and acceptable to Veteran patients. This pilot study helped elucidate challenges such as low provider engagement, difficulties with health coach continuity, and low patient attendance in MOVE! which we have addressed and plan to test in future studies. Trial registration/UNASSIGNED:NCT03006328 Retrospectively registered on December 30, 2016.

Background/UNASSIGNED:Despite evidence that biological and genetic factors contribute strongly to obesity, many healthcare providers still attribute obesity more to controllable behavioral issues rather than factors outside a person's control. We evaluated whether medical school students' beliefs about obesity correlate with ability to effectively counsel patients with obesity. Methods/UNASSIGNED:Clerkship-year medical students at NYU School of Medicine completed an Objective Structured Clinical Experience (OSCE) that tests ability to effectively counsel standardized actor-patients with obesity. We surveyed these students to evaluate their beliefs about the causes of obesity and their attitudes towards people with obesity. We analyzed correlations between student beliefs, negative obesity attitudes, and OSCE performance. Results/UNASSIGNED: < 0.05). Conclusions/UNASSIGNED:Attribution of obesity to external factors correlated with greater ability to counsel patients with obesity, suggesting that educating providers on the biological causes of obesity could help reduce bias and improve provider care.

: media-1vid110.1542/5839981580001PEDS-VA_2018-0290Video Abstract OBJECTIVES: To determine the association of antibiotic use with weight outcomes in a large cohort of children.

OBJECTIVES/OBJECTIVE:The National Patient-Centered Clinical Research Network (PCORnet) supports observational and clinical research using healthcare data. The PCORnet Antibiotics and Childhood Growth Study is one of PCORnet's inaugural observational studies. The objectives of this manuscript are to describe (1) the processes used to integrate and analyze data from children across 36 participating institutions and (2) the cohort characteristics and prevalence of antibiotic use. METHODS:percentile. RESULTS:681,739 children met the cohort inclusion criteria and were racially/ethnically diverse (24.9% black, 17.5% Hispanic). Before 24 months, 55.2% of children received at least one antibiotic prescription; 21.3% received a single antibiotic prescription, 14.3% received four or more, and 33.3% received a broad spectrum antibiotic. Overweight and obesity prevalence was 27.6% at 4 to <6 years of age (n=362,044) and 36.2% at 9 to <11 years (n=58,344). CONCLUSION/CONCLUSIONS:The PCORnet Antibiotics study is a large, national longitudinal observational study in a diverse population that will examine the relationship between early antibiotic use and subsequent growth patterns in children.

OBJECTIVE:This study compared health care access and utilization among adults with serious psychological distress by race-ethnicity and gender in years surrounding implementation of the Affordable Care Act. METHODS:Data for adults ages 18 to 64 with serious psychological distress in the 2006-2015 National Health Interview Survey (N=8,940) were analyzed by race-ethnicity and gender on access and utilization indicators: health insurance coverage, insufficient money to buy medications, delay in health care, insufficient money for health care, visited a doctor more than ten times in the past 12 months, change in place of health care, change in place of health care because of insurance, saw a mental health provider in the past 12 months, and insufficient money for mental health care. RESULTS:The proportions of white and black adults with serious psychological distress were largest in the South, the region with the largest proportion of persons with serious psychological distress and no health coverage. Multivariate models that adjusted for health coverage, sociodemographic characteristics, health conditions, region, and year indicated that whites were more likely than blacks to report insufficient money for medications and mental health care and delays in care. A greater proportion of whites used private coverage, compared with blacks and Hispanics, and blacks were more likely than all other racial-ethnic groups to have Medicaid. CONCLUSIONS:More research is needed on health care utilization among adults with serious psychological distress. In this group, whites and those with private coverage reported poor utilization, compared with other racial-ethnic groups and those with Medicaid, respectively.