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Neighborhood Environment And Poor Maternal Glycemic Control-Associated Complications Of Gestational Diabetes Mellitus, Leela V. Thomas, Claudine T. Jurkovitz, Zugui Zhang, Mitchell R. Fawcett, M. James Lenhard
Neighborhood Environment And Poor Maternal Glycemic Control-Associated Complications Of Gestational Diabetes Mellitus, Leela V. Thomas, Claudine T. Jurkovitz, Zugui Zhang, Mitchell R. Fawcett, M. James Lenhard
Department of Medicine Faculty Papers
INTRODUCTION: Risk of complications due to gestational diabetes mellitus is increasing in the U.S., particularly among individuals from racial minorities. Research has focused largely on clinical interventions to prevent complications, rarely on individuals' residential environments. This retrospective cohort study aims to examine the association between individuals' neighborhoods and complications of gestational diabetes mellitus.
METHODS: Demographic and clinical data were extracted from electronic health records and linked to American Community Survey data from the U.S. Census Bureau for 2,047 individuals who had 2,164 deliveries in 2014-2018. Data were analyzed in 2021-2022 using Wilcoxon rank sum test and chi-square test for bivariate …
Evaluating The Efficacy Of Chatgpt In Navigating The Spanish Medical Residency Entrance Examination (Mir): Promising Horizons For Ai In Clinical Medicine., Francisco Guillen-Grima, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Rosa Alas-Brun, Luc Onambele, Wilfrido Ortega, Rocio Montejo, Enrique Aguinaga-Ontoso, Paul Barach, Ines Aguinaga-Ontoso
Evaluating The Efficacy Of Chatgpt In Navigating The Spanish Medical Residency Entrance Examination (Mir): Promising Horizons For Ai In Clinical Medicine., Francisco Guillen-Grima, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Rosa Alas-Brun, Luc Onambele, Wilfrido Ortega, Rocio Montejo, Enrique Aguinaga-Ontoso, Paul Barach, Ines Aguinaga-Ontoso
Department of Medicine Faculty Papers
UNLABELLED: The rapid progress in artificial intelligence, machine learning, and natural language processing has led to increasingly sophisticated large language models (LLMs) for use in healthcare. This study assesses the performance of two LLMs, the GPT-3.5 and GPT-4 models, in passing the MIR medical examination for access to medical specialist training in Spain. Our objectives included gauging the model's overall performance, analyzing discrepancies across different medical specialties, discerning between theoretical and practical questions, estimating error proportions, and assessing the hypothetical severity of errors committed by a physician.
MATERIAL AND METHODS: We studied the 2022 Spanish MIR examination results after excluding …
Overcrowded Housing Increases Risk For Covid-19 Mortality: An Ecological Study, Karan Varshney, Talia Glodjo, Jenna R Adalbert
Overcrowded Housing Increases Risk For Covid-19 Mortality: An Ecological Study, Karan Varshney, Talia Glodjo, Jenna R Adalbert
College of Population Health Faculty Papers
Objectives: Overcrowded housing is a sociodemographic variable associated with increased infection and mortality rates from communicable diseases. It is not well understood if this association exists for COVID-19. Our objective was hence to determine the association between household overcrowding and risk of mortality from COVID-19, and this was done by performing bivariable and multivariable analyses using COVID-19 data from cities in Los Angeles County.
Results: Bivariate regression revealed that overcrowded households were positively associated with COVID-19 deaths (standardized β = 0.863, p < 0.001). COVID-19 case totals, people aged 60+, and the number of overcrowded households met conditions for inclusion in the backwards stepwise linear regression model. Analysis revealed all independent variables were positively associated with mortality rates, primarily for individuals 60 + (standardized β1 = 0.375, p = 0.001), followed by overcrowded households (standardized β2 = 0.346, p = 0.014), and total COVID-19 cases (standardized β3 = 0.311, p < 0.001). Our findings highlight that residing in overcrowded households may be an important risk factor for COVID-19 mortality. Public health entities should consider this population when allocating resources for prevention and control of COVID-19 mortality and future disease outbreaks.
Overcrowded Housing Increases Risk For Covid-19 Mortality: An Ecological Study., Karan Varshney, Talia Glodjo, Jenna Adalbert
Overcrowded Housing Increases Risk For Covid-19 Mortality: An Ecological Study., Karan Varshney, Talia Glodjo, Jenna Adalbert
College of Population Health Faculty Papers
OBJECTIVES: Overcrowded housing is a sociodemographic variable associated with increased infection and mortality rates from communicable diseases. It is not well understood if this association exists for COVID-19. Our objective was hence to determine the association between household overcrowding and risk of mortality from COVID-19, and this was done by performing bivariable and multivariable analyses using COVID-19 data from cities in Los Angeles County.
RESULTS: Bivariate regression revealed that overcrowded households were positively associated with COVID-19 deaths (standardized β = 0.863, p < 0.001). COVID-19 case totals, people aged 60+, and the number of overcrowded households met conditions for inclusion in the backwards stepwise linear regression model. Analysis revealed all independent variables were positively associated with mortality rates, primarily for individuals 60 + (standardized β
Nutritional Counseling At Jeffhope, Cara Siegel, Msii, Anita Modi, Msiii, Amy Tressan, Msi
Nutritional Counseling At Jeffhope, Cara Siegel, Msii, Anita Modi, Msiii, Amy Tressan, Msi
CwiC-PH
INTRODUCTION
Obesity is a major national public health concern and is strongly associated with increased morbidity and mortality.1 Specifically, obesity is correlated to increased frequency in coronary artery disease2, type two diabetes3, some cancers4, and other serious health conditions5. An epidemiological study of 21 developed countries found that increased waist size, weight, and BMI were all associated with low income.7 Importantly, obesity has a high prevalence among the homeless population, one study finding 42.8% of homeless women obese.17 It has been reported that 39% of sheltered homeless Americans are …