Faculty Bibliography

Objective: This study introduces the Mobile Universal Lexicon Evaluation System (MULES), a new vision-based test of rapid picture naming, in a cohort of youth and collegiate athletes at pre-season concussion testing. Background: Vision-based measures of rapid number naming (King-Devick [K-D]) have improved the sensitivity of sports-related concussion screening. K-D requires saccades and vergence, measuring aspects of frontal, parietal and brainstem centers. We developed the MULES to capture a more extensive vision network, integrating saccades, color perception, and object identification. Design/Methods: We administered MULES and K-D to youth and collegiate athletes during pre-season baseline testing. Sports for 2016-17 included ice hockey, football, soccer, volleyball and wrestling. Test administration order was randomized. Results: Among 165 athletes (age 14+/-5 years, range 6-24, 25% female), average K-D times (59.9+/-29.7 seconds) were similar to MULES (57.9+/-20.4 seconds). Higher K-D times predicted greater MULES times, accounting for age (p<0.001, linear regression). Age was itself a predictor of K-D and MULES time scores, with longer times noted for younger participants (p<0.001). Faster times with increasing age were noted primarily among athletes <16 years for K-D and <15 years for MULES. MULES showed greater degrees of improvement between two baseline trials (57.9 vs. 51.2 seconds, p<0.0001, paired t-test), vs. K-D (59.9 vs. 58.3 seconds, p=0.01). Conclusions: A complex task, the MULES test of rapid picture naming involves a more extensive visual network that captures not only rapid saccades but color perception and the characterization of objects. Color recognition is early in object processing and requires area V4 and the inferior temporal projections. In contrast, rapid number naming appears to engage a specific area of the inferior temporal cortex. Both tests use the centers responsible for initiating and sequencing saccadic eye movements, and will be further examined in our youth and collegiate cohorts during this athletic season for their ability to detect concussion

AIM: The objective of the study was to compare the diagnosis of dysglycemic states by conventional oral glucose tolerance test (OGTT) criteria (fasting and 2-h plasma glucose) with the 1-h post-load plasma glucose level. MATERIAL AND METHODS: 34 individuals (mean age: 55+/-13years; BMI: 27.7+/-6.3kg/m2) at risk for prediabetes were administered a 75g OGTT. Individuals with normal glucose tolerance (NGT) or prediabetes were identified according to fasting and/or 2-h plasma glucose (PG) concentrations. Subsequently, subjects were divided in 2 groups: group 1 (n=21) with a 1-h PG<155mg/dl and group 2 (n=13) with a 1-h PG>/=155mg/dl. HOMA was performed to assess beta-cell function and insulin sensitivity. RESULTS: NGT or prediabetes based on conventional criteria correlated with the 1-h PG/=155mg/dl (p<0.001). Moreover, the 1-h PG>/=155mg/dl was associated with higher HbA1c levels (6.1+/-0.5 vs. 5.5+/-0.3%, p<0.001) and significantly impaired insulin secretion and hyperbolic product (BxS) on HOMA test vs. 1-h PG<155mg/dl. CONCLUSION: The 1-h post-load plasma glucose value >/=155mg/dl is strongly associated with conventional criteria for (pre)diabetes and alterations of beta-cell function.

BACKGROUND: Obesity is under-treated and primary care teams find it difficult to provide effective lifestyle-based weight management counseling. Further, only 10% of eligible patients attendMOVE!, theVAweight management and health promotion program. We developed an intervention called Goals for Eating and Moving (GEM) to improve counseling within primary care (PC) and increase attendance in intensive weight management programs such as MOVE!. METHODS: Veterans with a Body Mass Index of greater than or equal to 30 or between 25 and 29.99 with at least one comorbidity were recruited by phone and randomized toGEMor "Enhanced Usual Care" (EUC). GEMutilizes the Patient Aligned Care Teams (PACTs) within the VA to deliver 5As counseling (Assess, Advise, Agree, Assist and Arrange) to promote modest weight loss and behavior change. Participants use a goal-setting tool to generate tailored materials, which facilitates in-person and phone counseling with health coaches. Coaches support PACTcounseling during regular PC visits and encourage participants to join VA weight management services. Veterans in GEM received the intervention and Veterans in EUC met with a coach to receive the VA "healthy living messages" pamphlet. At baseline and 3 months, participants had weight measurements and completed surveys. We used the Paffenbarger Physical Activity Questionnaire and a 17-item screener to derive fruit and vegetable intake, energy from fat, and dietary fiber. Vegetable intake (leafy greens/salad) and sugar-sweetened beverage were measured as individual items. We performed per-protocol analyses (Wilcoxon Rank sums test and Spearman Correlation) to assess the relationship between GEM and different variables. RESULTS: Thirty-one Veterans (mean age = 53.48, 63% male, mean BMI = 31.72) enrolled and 25 returned at 3-months (1 dropped out and 5 were lost-tofollow up). Those in GEM lost significantly more weight at 3-months (-1.59 kg, SD = 1.76) than those in EUC (-0.63 kg, SD = 3.42, p = 0.03). There were no statistically significant differences in diet and physical activity. For Veterans that received GEM, higher number of phone coaching sessions was correlated with weight loss (Spearman Correlation -0.58, p = 0.09). CONCLUSIONS: This early analysis indicates that GEM promotes small but significant (p = 0.03) weight loss at 3-months and identified the need for high patient retention and engagement, since the number of health coaching calls may correlate with weight loss. Based on this we have refined protocols for phone coaching to ensure that scheduling and reminder calls are patientcentered. This pilot study informed the development of a multi-site cluster- RCT of GEM to begin in June 2017 (NIH # 1R01 DK111928-01)

BACKGROUND: Food insecurity (FI) occurs when individuals or households have limited or uncertain access to adequate food. People with FI may find it particularly difficult to eat a balanced diet and manage weight. Individuals who report FI are 1.4 times more likely to have obesity. U.S. Veterans have a greater prevalence of FI compared with the general population (24% vs. 19%). As part of a pilot randomized controlled trial to test the impact of an obesity intervention for Veterans, we explored the prevalence of FI in our sample and assessed the impact of FI on weight outcomes. METHODS: Veterans with a Body Mass Index of greater than or equal to 30 or between 25 and 29.99 with at least one comorbidity were recruited by phone for a pilot study. Participants randomized to the intervention received a technology-assisted health coaching session and follow-up coaching calls; control participants received a VA "healthy living messages" pamphlet. At baseline and 3 months, participants had weight measurements and completed surveys. To measure FI, we used a 6-item Household Food Security Scale (FI = 2 or more affirmative responses). We assessed the impact of FI on variables independent of arm assignment in participants who returned for a 3-month measurement visit (Wilcoxon rank sum tests and Fisher's Exact Test). We also analyzed the role of FI as a moderator between arm and study variables using ANOVA. RESULTS: Out of 31 Veterans who enrolled in the study (Mean age = 53.48, 63% male, mean BMI = 31.72), 10 demonstrated FI at baseline and 25 participants completed 3 month measurements. Independent of the intervention, those with FI (n = 10) lost .01 kg of weight and those without FI (n = 15) lost 1.69 kg at 3-months but the difference was not significant (p = 0.2). Similarly, 0/10 Veterans with FI achieved 2.5% weight loss, compared to 4/15 of those without FI (p = 0.12). Those with FI in the control group gained weight when compared to those without FI (1.04 kg, SD = 1.41 vs. -1.75, SD = 3.96) and those with FI in the intervention lost the same amount of weight as those without FI (-1.59 kg, SD = 0.83, vs. -1.59, SD = 2.27; p = 0.24 for the interaction (not significant)). CONCLUSIONS: FI in Veterans enrolled in a weight management study is high. Participants with FI in the control arm may have gained weight when compared to non-FI participants, while intervention arm participants with FI lost similar amounts of weight to those without FI. This suggests that the intervention may reduce the negative impact of FI. While this pilot study was not powered to show a significant difference, we have amended health coaching protocols to better address FI in our intervention (e.g. screening for FI and linking participants with Supplemental Nutrition Assistance Program (SNAP) benefits and similar resources) hoping to maximize its effectiveness

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.

STATEMENT OF PROBLEM OR QUESTION (ONE SENTENCE): T2D patients needing insulin adjustments require multiple clinic visits for titration, but face barriers (missed work, transportation costs, clinic co-pays) all of which disproportionately affect vulnerable populations. OBJECTIVES OF PROGRAM/INTERVENTION (NO MORE THAN THREE OBJECTIVES): MITI aims to be clinically efficacious, patientcentered, and highly accessible (only requires text messaging and phone calls). DESCRIPTION OF PROGRAM/INTERVENTION, INCLUDING ORGANIZATIONAL CONTEXT (E.G. INPATIENT VS. OUTPATIENT, PRACTICE OR COMMUNITY CHARACTERISTICS): MITI is an efficacious, patient-centered, accessible program that remotely guides T2D patients to their correct basal insulin dose (glargine, detemir). Eligible patients have T2D, an A1c >8%, a phone that can text, and need titration of basal insulin. Patients referred by their providers are enrolled on a secure website which sends a weekday text message asking 'What was your fasting blood sugar this morning?' Each day the MITI nurse checks the website for alarm values (extreme high or low values). Once a week, the MITI nurse calls patients and, using the MITI titration algorithm, advises them on dose adjustments. The goal of the program is to find the optimal basal insulin dose (OID), which is the dose that achieves a fasting blood sugar between 80 and 130 (or the maximal dose of 50 units). MITI lasts a maximum of 12 weeks. When the program ends, patients return to usual care. MEASURES OF SUCCESS (DISCUSS QUALITATIVE AND/OR QUANTITATIVE METRICS WHICH WILL BE USED TO EVALUATE PROGRAM/INTERVENTION): Using a single-group, quasiexperimental approach, we examined the proportion of patients reaching OID within 12 weeks, the mean number of days required to reach OID, and reductions in fasting glucose and A1c. We described participant response rates, staff time required to deliver the intervention, and patient time saved. Qualitative interviews were also conducted. FINDINGS TO DATE (IT IS NOT SUFFICIENT TOSTATE FINDINGS WILL BE DISCUSSED): Of the 71 participants who completed the program, 86% reached OID, 5.6% did not reach OID, and 8.5% terminated the program early. Those reaching OID did so in a mean of 21 (SD 21) days. Fasting glucose levels decreased from 209 (SD 77) mg/dl to 140 (SD 45), and mean A1c (for those with follow up labs thus far) decreased from 11.6% (SD 1.9) to 10.0% (SD 2.2). Ninety-one percent of text prompts received a response from the participant. Mean staff time required to deliver MITI was 16 min (SD 5) per participant per week, and patients reported a mean time saving of 150 (SD 74) min each time an in-person visit was averted. Qualitative interviews suggest that clinical staff perceived MITI to be a preferred alternative to clinic-based insulin titration, one that resulted in good care without interfering with clinic flow. Patients reported that the enrollment process was easy and that MITI motivated them to eat healthier food, take their insulin, and check their blood sugars. Because of MITI they reported feeling more connected to their medical team. KEYLESSONS FORDISSEMINATION(WHAT CANOTHERS TAKE AWAY FOR IMPLEMENTATION TO THEIR PRACTICE OR COMMUNITY?): MITI is a clinically efficacious, patient-centered and accessible program for the titration of basal insulin for T2D patients. By eliminating the need for in-person access, MITI proves especially helpful for vulnerable populations. Patients and staff found MITI to be convenient, time-saving, and motivating for patients

To date, various dimensions of body image and their associations with condom use have not been studied among men who have sex with men (MSM) who use geosocial-networking smartphone applications ("apps") to meet new sexual partners. The purpose of the current study was to evaluate associations between weight perception, body dissatisfaction, and self-objectification with sexual behaviors among a sample of MSM (n = 92) recruited from Grindr, an app popular among MSM, to complete an online survey. Obese participants scored significantly higher on measures of body dissatisfaction and lower on measures of sexual sensation seeking. Decreased propensities to seek sexual sensations were associated with fewer sexual partners. By assessing associations between dimensions of body dissatisfaction and sexual risk behaviors, this study adds support to a theory of syndemics among MSM, which suggests that synergistically related biological, psychological, social, and behavioral factors disproportionately affect health and health-related behaviors in this population.

Medical case management has improved in the past few decades, changing the dynamic interaction between depression and prevalent medical diseases. It is relevant to describe the comorbidity between depression and medical diseases to further improve the effectiveness of case management. We analyzed the data of adults aged 20 years and older, who completed depression screening as a part of the National Health and Nutrition Examination Survey, 2005 to 2012. Depression was ascertained using the Patient Health Questionnaire, a 9-item screening instrument asking about the frequency of depression symptoms over the past 2 weeks. Comorbid diseases were assessed in a self-reported personal interview on doctor-diagnosed health conditions. The associations between depression and medical diseases were limited to the diseases with painful somatic symptoms. Reported from 19.78% of men and 27.84% of women, arthritis was the most prevalent chronic disease, and was the only one consistently associated with depression. The odds ratio of moderate to severe depression was 1.65 (95% confidence interval = 1.12-2.44) for men and 2.11 (1.63-2.99) for women with arthritis compared with their counterparts free of arthritis. Moderate/severe depression was associated with a history of heart disease among men (2.45 [1.19-5.06]) and angina/angina pectoris among women (2.13 [1.07-4.26]). No associations were found between depression and cancer/malignancy, either among men or women. The potential impact of pain management on depression prevention among general population is substantial; more efforts are needed to assess chronic pain to facilitate timely prevention and treatment of depression and comorbid medical conditions.

OBJECTIVE: To use novel geographic methods and large-scale claims data to identify the local distribution of pediatric chronic diseases in New York City. METHODS: Using a 2009 all-payer emergency claims database, we identified the proportion of unique children aged 0 to 17 with diagnosis codes for specific medical and psychiatric conditions. As a proof of concept, we compared these prevalence estimates to traditional health surveys and registry data using the most geographically granular data available. In addition, we used home addresses to map local variation in pediatric disease burden. RESULTS: We identified 549,547 New York City children who visited an emergency department at least once in 2009. Though our sample included more publicly insured and uninsured children, we found moderate to strong correlations of prevalence estimates when compared to health surveys and registry data at prespecified geographic levels. Strongest correlations were found for asthma and mental health conditions by county among younger children (0.88, P = .05 and 0.99, P < .01, respectively). Moderate correlations by neighborhood were identified for obesity and cancer (0.53 and 0.54, P < .01). Among adolescents, correlations by health districts were strong for obesity (0.95, P = .05), and depression estimates had a nonsignificant, but strong negative correlation with suicide attempts (-0.88, P = .12). Using SaTScan, we also identified local hot spots of pediatric chronic disease. CONCLUSIONS: For conditions easily identified in claims data, emergency department surveillance may help estimate pediatric chronic disease prevalence with higher geographic resolution. More studies are needed to investigate limitations of these methods and assess reliability of local disease estimates.

OBJECTIVE:To examine adherence to guideline-concordant hypertension treatment practices at community health centers (CHCs) compared with private physicians' offices. DATA SOURCES/STUDY SETTING/METHODS:National Ambulatory Medical Care Survey from 2006 to 2010. STUDY DESIGN/METHODS:We examined four guideline-concordant treatment practices: initiation of a new medication for uncontrolled hypertension, use of fixed-dose combination drugs for patients on multiple antihypertensive medications, use of thiazide diuretics among patients with uncontrolled hypertension on ≥3 antihypertensive medications, and use of aldosterone antagonist for resistant hypertension, comparing use at CHC with private physicians' offices overall and by payer group. DATA COLLECTION/EXTRACTION METHODS/METHODS:We identified visits of nonpregnant adults with hypertension at CHCs and private physicians' offices. PRINCIPAL FINDINGS/RESULTS:Medicaid patients at CHCs were as likely as privately insured individuals to receive a new medication for uncontrolled hypertension (AOR 1.0, 95 percent CI: 0.6-1.9), whereas Medicaid patients at private physicians' offices were less likely to receive a new medication (AOR 0.3, 95 percent CI: 0.1-0.6). Use of fixed-dose combination drugs was lower at CHCs (AOR 0.6, 95 percent CI: 0.4-0.9). Thiazide use for patients was similar in both settings (AOR 0.8, 95 percent CI: 0.4-1.7). Use of aldosterone antagonists was too rare (2.1 percent at CHCs and 1.5 percent at private clinics) to allow for statistically reliable comparisons. CONCLUSIONS:Increasing physician use of fixed-dose combination drugs may be particularly helpful in improving hypertension control at CHCs where there are higher rates of uncontrolled hypertension.