Faculty Bibliography

BACKGROUND:Headache diaries are a mainstay of migraine management. While many commercial smartphone applications (apps) have been developed for people with migraine, little is known about how well these apps protect patient information and whether they are secure to use. OBJECTIVE:We sought to assess whether there are privacy issues surrounding apps so that physicians and patients could better understand what medical information patients are providing to the app companies, and the potential privacy implications of how the app companies (and other third parties) might use that information. METHODS:We conducted a systematic search of the most popular "headache" and "migraine" apps and developed a database of the types of data the apps requested for input by the user and whether the apps had clear privacy policies. We also examined the content of the privacy policies. RESULTS:Twenty-nine apps were examined (14 diary apps, 15 relaxation apps). Of the diary applications, 79% (11/14) had visible privacy policies. Of the diary apps with privacy policies, all (11/11) stated whether or not the app collects and stores information remotely. A total of 55% (6/11) stated that some user data were used to serve targeted advertisements. A total of 11/15 (73%) of the relaxation apps had privacy policies. CONCLUSIONS:Headache apps shared information with third parties, posing privacy risks partly because there are few legal protections against the sale or disclosure of data from medical apps to third parties.

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.

PURPOSE/OBJECTIVE:Despite higher rates of modifiable risk factors for cardiovascular disease (CVD) in gay and bisexual men, few studies have examined sexual orientation differences in CVD among men. The purpose of this study was to examine sexual orientation differences in modifiable risk factors for CVD and CVD diagnoses in men. METHODS:A secondary analysis of the National Health and Nutrition Examination Survey (2001-2012) was conducted. Multiple imputation was performed for missing values. Differences across four distinct groups were analyzed: gay-identified men, bisexual-identified men, heterosexual-identified men who have sex with men (MSM), and heterosexual-identified men who denied same-sex behavior (categorized as exclusively heterosexual). Multiple logistic regression models were run with exclusively heterosexual men as the reference group. RESULTS:The analytic sample consisted of 7731 men. No differences between heterosexual-identified MSM and exclusively heterosexual men were observed. Few differences in health behaviors were noted, except that, compared to exclusively heterosexual men, gay-identified men reported lower binge drinking (adjusted odds ratio [AOR] 0.58, 95% confidence interval [CI] = 0.37-0.85). Bisexual-identified men had higher rates of mental distress (AOR 2.39, 95% CI = 1.46-3.90), obesity (AOR 1.69, 95% CI = 1.02-2.72), elevated blood pressure (AOR 2.30, 95% CI = 1.43-3.70), and glycosylated hemoglobin (AOR 3.01, 95% CI = 1.38-6.59) relative to exclusively heterosexual men. CONCLUSIONS:Gay-identified and heterosexual-identified MSM demonstrated similar CVD risk to exclusively heterosexual men, whereas bisexual-identified men had elevations in several risk factors. Future directions for sexual minority health research in this area and the need for CVD and mental health screenings, particularly in bisexual-identified men, are highlighted.

OBJECTIVE:Focusing health interventions in places with suboptimal glycemic control can help direct resources to neighborhoods with poor diabetes-related outcomes, but finding these areas can be difficult. Our objective was to use indirect measures versus a gold standard, population-based A1C registry to identify areas of poor glycemic control. RESEARCH DESIGN AND METHODS/METHODS:Census tracts in New York City were characterized by race, ethnicity, income, poverty, education, diabetes-related emergency visits, inpatient hospitalizations, and proportion of adults with diabetes having poor glycemic control, based on A1C >9.0% (75 mmol/mol). Hot spot analyses were then performed, using the Getis-Ord Gi* statistic for all measures. We then calculated the sensitivity, specificity, positive and negative predictive values, and accuracy of using the indirect measures to identify hot spots of poor glycemic control found using the A1C Registry data. RESULTS:Using A1C Registry data, we identified hot spots in 42.8% of 2,085 NYC census tracts analyzed. Hot spots of diabetes-specific inpatient hospitalizations, diabetes-specific emergency visits, and age-adjusted diabetes prevalence estimated from emergency department data, respectively, had 88.9, 89.6, and 89.5% accuracy for identifying the same hot spots of poor glycemic control found using A1C Registry data. No other indirect measure tested had accuracy >80% except for the proportion of minority residents, which was 86.2%. CONCLUSIONS:Compared with demographic and socioeconomic factors, health care utilization measures more accurately identified hot spots of poor glycemic control. In places without a population-based A1C Registry, mapping diabetes-specific health care utilization may provide actionable evidence for targeting health interventions in areas with the highest burden of uncontrolled diabetes.

Ultra-processed foods provide 58 % of energy intake and 89 % of added sugars in the American diet. Nevertheless, the association between ultra-processed foods and excess weight has not been investigated in a US sample. The present investigation therefore aims to examine the association between ultra-processed foods and excess weight in a nationally representative sample of US adults. We performed a cross-sectional analysis of anthropometric and dietary data from 15 977 adults (20-64 years) participating in the National Health and Nutrition Examination Survey 2005-2014. Dietary data were collected by 24-h recall. Height, weight and waist circumference (WC) were measured. Foods were classified as ultra-processed/non-ultra-processed according to the NOVA classification. Multivariable linear and logistic regression was used to evaluate the association between ultra-processed food consumption (% energy) and BMI, WC and odds of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity (men: WC≥102 cm, women: WC≥88 cm). Prevalence of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity was 69·2, 36·1 and 53·0 %, respectively. Consuming ≥74·2 v. ≤36·5 % of total energy from ultra-processed foods was associated with 1·61 units higher BMI (95 % CI 1·11, 2·10), 4·07 cm greater WC (95 % CI 2·94, 5·19) and 48, 53 and 62 % higher odds of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity, respectively (OR 1·48; 95 % CI 1·25, 1·76; OR 1·53; 95 % CI 1·29, 1·81; OR 1·62; 95 % CI 1·39, 1·89, respectively; P for trend<0·001 for all). A significant interaction between being female and ultra-processed food consumption was found for BMI (F 4,79=4·89, P=0·002), WC (F 4,79=3·71, P=0·008) and BMI≥25 kg/m2 (F 4,79=5·35, P<0·001). As the first study in a US population, our findings support that higher consumption of ultra-processed food is associated with excess weight, and that the association is more pronounced among women.

BACKGROUND:Nearly half of Americans with diagnosed hypertension have uncontrolled blood pressure (BP) while some integrated healthcare systems, such as Kaiser Permanente Northern California, have achieved control rates upwards 90%. METHODS AND RESULTS:<0.01). CONCLUSIONS:Evidence-based system approaches to improving BP control can be implemented in safety-net settings and could play a pivotal role in achieving improved population BP control and reducing hypertension disparities.