Faculty Bibliography
Searched for:
school:SOM
Department/Unit:Population Health
Total Results:
12781
Predicting childhood obesity using electronic health records and publicly available data
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.
PMID: 31009509
ISSN: 1932-6203
CID: 3821342
Financial Hardship, Motivation to Quit and Post-Quit Spending Plans among Low-Income Smokers Enrolled in a Smoking Cessation Trial
Background/UNASSIGNED:Tobacco spending may exacerbate financial hardship in low-income populations by using funds that could go toward essentials. This study examined post-quit spending plans among low-income smokers and whether financial hardship was positively associated with motivation to quit in the sample. Methods/UNASSIGNED:= 410). Linear regression was used to examine the relationship between financial distress, food insecurity, smoking-induced deprivation (SID) and motivation to quit (measured on a 0-10 scale). We performed summative content analyses of open-ended survey questions to identify the most common plans among participants with and without SID for how to use their tobacco money after quitting. Results/UNASSIGNED:The top three spending plans among participants with and without SID were travel, clothing and savings. There were three needs-based spending plans unique to a small number of participants with SID: housing, health care and education. Conclusions/UNASSIGNED:Financial distress and food insecurity did not enhance overall motivation to quit, while smokers with SID were less motivated to quit. Most low-income smokers, including those with SID, did not plan to use their tobacco money on household essentials after quitting.
PMCID:6785910
PMID: 31636481
ISSN: 1178-2218
CID: 4153522
Correction:Â Predicting childhood obesity using electronic health records and publicly available data
[This corrects the article DOI: 10.1371/journal.pone.0215571.].
PMID: 31589654
ISSN: 1932-6203
CID: 4129312
Smoking patterns and preferences for technology assisted smoking cessation interventions among adults with opioid and alcohol use disorders
Background/UNASSIGNED:Smoking remains a major public health burden among persons with opioid and/or alcohol use disorder. Methods/UNASSIGNED:A 49-item semi-structured survey was conducted among urban, inpatient detoxification program patients eliciting demographic and clinical characteristics, smoking profile, technology use patterns, and preferences for adopting technology-based smoking cessation interventions. Multivariate logistic regression models further evaluated the association between participant demographic and clinical characteristics and technology preferences. Results/UNASSIGNED:Participants were mostly male (91%), and admitted for detoxification for alcohol (47%), heroin (31%), or both alcohol and heroin (22%). Past 30-day smoking was reported by 78% of the sample. Mobile phone ownership was common (89%); with an average past-year turnover of 3 mobile phones and 3 phone numbers. Computer ownership was low (28%) and one third reported daily internet use (34%). Telephone (41%) and text message-based interventions (40%) were the most popular platforms to facilitate smoking cessation. Conclusions/UNASSIGNED:Despite concurrent AUD-OUD, most respondents had attempted to quit smoking in the last year and preferred telephone- and text message-based interventions to facilitate smoking cessation. High turnover of mobile phones, phone numbers, and limited access to computers pose barriers to dissemination of technology-based smoking cessation interventions in this vulnerable population.
PMCID:7500477
PMID: 32952442
ISSN: 1465-9891
CID: 4605342
Peripapillary Vessel Density as a Glaucoma Biomarker throughout the Glaucoma Severity Spectrum [Meeting Abstract]
ISI:000488628107168
ISSN: 0146-0404
CID: 4154342
Albuminuria Testing by Race and Ethnicity among Patients with Hypertension with and without Diabetes
BACKGROUND:Detection of chronic kidney disease (CKD) with urine albumin-to-creatinine ratio (UACR) among patients with hypertension (HTN) provides an opportunity for early treatment, potentially mitigating risk of CKD progression and cardiovascular complications. Differences in UACR testing patterns among racial/ethnic populations at risk for CKD could contribute to known disparities in CKD complications. METHODS:We examined the prevalence of UACR testing among low-income adult primary care patients with HTN, defined by a new administrative code for HTN or 2 clinic blood pressures >140/90 mm Hg between January 1, 2014, and January 1, 2017, in one public health-care delivery system with a high prevalence of end-stage kidney disease among race/ethnic minorities. Logistic regression was used to identify odds of UACR testing within 1 year of a HTN diagnosis, overall, and by racial/ethnic subgroup, adjusted for demographic factors, estimated glomerular filtration rate, and HTN severity. Models were also stratified by diabetes status. RESULTS:The cohort (n = 16,414) was racially/ethnically diverse (16% White, 21% Black, 34% Asian, 19% Hispanic, and 10% other) and 51% female. Only 35% of patients had UACR testing within 1 year of a HTN diagnosis. Among individuals without diabetes, odds of UACR testing were higher among Asians, Blacks, and Other subgroups compared to Whites (adjusted OR [aOR] 1.19; 95% CI 1.00-1.42 for Blacks; aOR 1.33; 1.13-1.56 for Asians; aOR 1.30; 1.04-1.60 for Other) but were not significantly different between Hispanics and Whites (aOR 1.17; 0.97-1.39). Among individuals with diabetes, only Asians had higher odds of UACR testing compared to Whites (aOR 1.35; 1.12-1.63). CONCLUSIONS:Prevalence of UACR testing among low-income patients with HTN is low in one public health-care delivery system, with higher odds of UACR testing among racial/ethnic minority subgroups compared to Whites without diabetes and similar odds among those with diabetes. If generalizable, less albuminuria testing may not explain higher prevalence of kidney failure in racial/ethnic minorities.
PMCID:6620121
PMID: 31167180
ISSN: 1421-9670
CID: 5234162
Disparities in Healthcare Utilization Among Adults with Obesity in the United States, Findings from the NHIS: 2006-2015
ISI:000468608900005
ISSN: 0167-5923
CID: 4136032
Altered dynamics of visual contextual interactions in Parkinson's disease
Over the last decades, psychophysical and electrophysiological studies in patients and animal models of Parkinson's disease (PD), have consistently revealed a number of visual abnormalities. In particular, specific alterations of contrast sensitivity curves, electroretinogram (ERG), and visual-evoked potentials (VEP), have been attributed to dopaminergic retinal depletion. However, fundamental mechanisms of cortical visual processing, such as normalization or "gain control" computations, have not yet been examined in PD patients. Here, we measured electrophysiological indices of gain control in both space (surround suppression) and time (sensory adaptation) in PD patients based on steady-state VEP (ssVEP). Compared with controls, patients exhibited a significantly higher initial ssVEP amplitude that quickly decayed over time, and greater relative suppression of ssVEP amplitude as a function of surrounding stimulus contrast. Meanwhile, EEG frequency spectra were broadly elevated in patients relative to controls. Thus, contrary to what might be expected given the reduced contrast sensitivity often reported in PD, visual neural responses are not weaker; rather, they are initially larger but undergo an exaggerated degree of spatial and temporal gain control and are embedded within a greater background noise level. These differences may reflect cortical mechanisms that compensate for dysfunctional center-surround interactions at the retinal level.
PMCID:6609710
PMID: 31286057
ISSN: 2373-8057
CID: 4090962
Multimodal Hippocampal Subfield Grading For Alzheimer's Disease Classification
ISI:000487586600036
ISSN: 2045-2322
CID: 4155602
Associations of Adolescent Exposure to Severe Violence with Substance Use From Adolescence into Adulthood: Direct Versus Indirect Exposures
BACKGROUND:While previous research has documented the impact of violence on substance use, none has looked longitudinally across the lifespan to measure independent effects of direct and indirect violence exposure. OBJECTIVE:To examine independent associations between adolescent experiences of violence and subsequent substance use in adolescence and adulthood in the United States. METHOD/METHODS:Using the National Longitudinal Study of Adolescent to Adult Health (N = 12,288), we examined being shot or stabbed ("experienced"), being threatened with a knife or gun ("threatened"), and seeing someone either shot or stabbed ("witnessed") during adolescence (Wave I) as correlates of substance use in adolescence and adulthood (Wave IV) via logistic regression. RESULTS:Violence exposure was a significant correlate of drug use in adolescence and several associations remained significant in adulthood. Witnessing violence had the highest point estimates in the adjusted models in adolescence for each substance use outcome (e.g., Cocaine-Adjusted Odds Ratios [AOR] = 2.59, 95% confidence interval [CI] = 1.21, 5.54). However, the point estimates for threatened with violence or experienced violence were highest in three out of the four drug outcomes in adulthood (e.g., Threatened with violence: Binge drinking-AOR = 1.41, 95% CI = 1.08, 1.83). Conclusion/Importance: Adolescent exposure to witnessing violence had stronger effects on substance use in adolescence, while experiencing and being threatened with violence in adolescence had stronger effects on substance use in adulthood. Violence prevention efforts targeted toward adolescents may lead to a reduction in substance use throughout the life-course, and clinicians and policy makers should be aware of the downstream effects of violence experienced in adolescence.
PMID: 30541369
ISSN: 1532-2491
CID: 3563122
