keyword
https://read.qxmd.com/read/37011880/psychosis-among-individuals-with-methamphetamine-use-disorder-is-associated-with-elevated-rates-of-hospitalizations-and-emergency-department-visits-across-an-academic-health-care-system
#21
JOURNAL ARTICLE
Michael F Zito, Zhe Fei, Yuhui Zhu, Sarah Clingan, Stephen R Marder, Larissa J Mooney
INTRODUCTION: Methamphetamine (MA) is increasingly available in the United States and manufactured with increasing potency. Although psychosis is a known harm related to MA use, we know little about the clinical outcomes and prognosis of individuals who use MA and experience psychosis. Some evidence exists that psychosis among people who use methamphetamine leads to a high utilization of emergency and acute inpatient services, but the extent of this use is unclear. METHODS: Using an electronic health record (EHR) database, this study assessed acute care visits of individuals receiving diagnostic codes of the following disorders: methamphetamine use disorder with undifferentiated psychosis (MUDp), schizophrenia (MUDs) and no history of psychosis (MUD) in addition to individuals without MUD diagnosis but with diagnoses of either undifferentiated psychosis (Psy) or schizophrenia (Scz) from 2006 to 2019...
April 1, 2023: J Subst Use Addict Treat
https://read.qxmd.com/read/36997854/association-between-any-underlying-health-condition-and-covid-19-associated-hospitalization-by-age-group-washington-state-2020-2021-a-retrospective-cohort-study
#22
JOURNAL ARTICLE
Kate H McConnell, Anjum Hajat, Coralynn Sack, Stephen J Mooney, Christine M Khosropour
BACKGROUND: Presence of at least one underlying health condition (UHC) is positively associated with severe COVID-19, but there is limited research examining this association by age group, particularly among young adults. METHODS: We examined age-stratified associations between any UHC and COVID-19-associated hospitalization using a retrospective cohort study of electronic health record data from the University of Washington Medicine healthcare system for adult patients with a positive SARS-CoV-2 test from February 29, 2020, to March 13, 2021...
March 30, 2023: BMC Infectious Diseases
https://read.qxmd.com/read/36931986/characterizing-female-firearm-suicide-circumstances-a-natural-language-processing-and-machine-learning-approach
#23
JOURNAL ARTICLE
Evan V Goldstein, Stephen J Mooney, Julian Takagi-Stewart, Brianna F Agnew, Erin R Morgan, Miriam J Haviland, Weipeng Zhou, Laura C Prater
INTRODUCTION: Since 2005, female firearm suicide rates increased by 34%, outpacing the rise in male firearm suicide rates over the same period. The objective of this study was to develop and evaluate a natural language processing pipeline to identify a select set of common and important circumstances preceding female firearm suicide from coroner/medical examiner and law enforcement narratives. METHODS: Unstructured information from coroner/medical examiner and law enforcement narratives were manually coded for 1,462 randomly selected cases from the National Violent Death Reporting System...
March 16, 2023: American Journal of Preventive Medicine
https://read.qxmd.com/read/36852306/associations-between-observed-neighborhood-physical-disorder-and-health-behaviors-new-jersey-behavioral-risk-factor-surveillance-system-2011-2016
#24
JOURNAL ARTICLE
Jesse J Plascak, Tatyana Desire-Brisard, Darren Mays, Brittney Keller-Hamilton, Andrew G Rundle, Emma Rose, Electra D Paskett, Stephen J Mooney
This study tested associations between observed neighborhood physical disorder and tobacco use, alcohol binging, and sugar-sweetened beverage consumption among a large population-based sample from an urban area of the United States. Individual-level data of this cross-sectional study were from adult respondents of the New Jersey Behavioral Risk Factor Surveillance System, 2011-2016 (n = 62,476). Zip code tabulation area-level observed neighborhood physical disorder were from virtual audits of 23,276 locations...
April 2023: Preventive Medicine Reports
https://read.qxmd.com/read/36777794/registry-data-in-injury-research-study-designs-and-interpretation
#25
JOURNAL ARTICLE
Stephen J Mooney, Andrew G Rundle, Christopher N Morrison
PURPOSE OF REVIEW: Injury data is frequently captured in registries that form a census of 100% of known cases that meet specified inclusion criteria. These data are routinely used in injury research with a variety of study designs. We reviewed study designs commonly used with data extracted from injury registries and evaluated the advantages and disadvantages of each design type. RECENT FINDINGS: Registry data are suited to 5 major design types: (1) Description, (2) Ecologic (with Ecologic Cohort as a particularly informative sub-type), (3) Case-control (with location-based and culpability studies as salient subtypes), (4) Case-only (including case-case and case-crossover subtypes), and (5) Outcomes...
December 2022: Current Epidemiology Reports
https://read.qxmd.com/read/36730091/variation-in-tracheostomy-placement-and-outcomes-following-pediatric-trauma-among-adult-pediatric-and-combined-trauma-centers
#26
JOURNAL ARTICLE
Elizabeth Y Killien, Kalee L Grassia, Elissa K Butler, Stephen J Mooney, R Scott Watson, Monica S Vavilala, Frederick P Rivara
BACKGROUND: Tracheostomy placement is much more common in adults than children following severe trauma. We evaluated whether tracheostomy rates and outcomes differ for pediatric patients treated at trauma centers that primarily care for children versus adults. METHODS: We conducted a retrospective cohort study of patients <18 years in the National Trauma Data Bank from 2007-2016 treated at a Level I/II pediatric, adult, or combined adult/pediatric trauma center, ventilated >24 hours, and who survived to discharge...
November 28, 2022: Journal of Trauma and Acute Care Surgery
https://read.qxmd.com/read/36674225/reproducibility-and-scientific-integrity-of-big-data-research-in-urban-public-health-and-digital-epidemiology-a-call-to-action
#27
JOURNAL ARTICLE
Ana Cecilia Quiroga Gutierrez, Daniel J Lindegger, Ala Taji Heravi, Thomas Stojanov, Martin Sykora, Suzanne Elayan, Stephen J Mooney, John A Naslund, Marta Fadda, Oliver Gruebner
The emergence of big data science presents a unique opportunity to improve public-health research practices. Because working with big data is inherently complex, big data research must be clear and transparent to avoid reproducibility issues and positively impact population health. Timely implementation of solution-focused approaches is critical as new data sources and methods take root in public-health research, including urban public health and digital epidemiology. This commentary highlights methodological and analytic approaches that can reduce research waste and improve the reproducibility and replicability of big data research in public health...
January 13, 2023: International Journal of Environmental Research and Public Health
https://read.qxmd.com/read/36531864/chemotherapy-dose-shapes-the-expression-of-immune-interacting-markers-on-cancer-cells
#28
JOURNAL ARTICLE
Alexander J Najibi, Kerry Larkin, Zhaoqianqi Feng, Nicholas Jeffreys, Mason T Dacus, Yashika Rustagi, F Stephen Hodi, David J Mooney
INTRODUCTION: Tumor and immune cells interact through a variety of cell-surface proteins that can either restrain or promote tumor progression. The impacts of cytotoxic chemotherapy dose and delivery route on this interaction profile remain incompletely understood, and could support the development of more effective combination therapies for cancer treatment. METHODS AND RESULTS: Here, we found that exposure to the anthracycline doxorubicin altered the expression of numerous immune-interacting markers (MHC-I, PD-L1, PD-L2, CD47, Fas, and calreticulin) on live melanoma, breast cancer, and leukemia cells in a dose-dependent manner in vitro ...
December 2022: Cellular and Molecular Bioengineering
https://read.qxmd.com/read/36512356/assessment-of-the-accuracy-of-firearm-injury-intent-coding-at-3-us-hospitals
#29
JOURNAL ARTICLE
Matthew Miller, Deborah Azrael, Ravali Yenduri, Catherine Barber, Andrew Bowen, Erin MacPhaul, Stephen J Mooney, Li Zhou, Eric Goralnick, Ali Rowhani-Rahbar
IMPORTANCE: The absence of reliable hospital discharge data regarding the intent of firearm injuries (ie, whether caused by assault, accident, self-harm, legal intervention, or an act of unknown intent) has been characterized as a glaring gap in the US firearms data infrastructure. OBJECTIVE: To use incident-level information to assess the accuracy of intent coding in hospital data used for firearm injury surveillance. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional retrospective medical review study was conducted using case-level data from 3 level I US trauma centers (for 2008-2019) for patients presenting to the emergency department with an incident firearm injury of any severity...
December 1, 2022: JAMA Network Open
https://read.qxmd.com/read/36462172/advancing-national-animal-health-and-welfare-policy
#30
JOURNAL ARTICLE
Helen A Graham, Michael L Doherty, Simon J More, Stephen V Gordon, Eamonn P Gormley, Carmel T Mooney, Alison J Hanlon, Siobhan M Mullan, Finola C Leonard, Conor G McAloon
No abstract text is available yet for this article.
November 28, 2022: American Journal of Veterinary Research
https://read.qxmd.com/read/36399341/cumulative-payments-through-the-earned-income-tax-credit-program-in-childhood-and-criminal-conviction-during-adolescence-in-the-us
#31
JOURNAL ARTICLE
Caitlin A Moe, Nicole L Kovski, Kimberly Dalve, Christine Leibbrand, Stephen J Mooney, Heather D Hill, Ali Rowhani-Rahbar
Importance: Childhood poverty is associated with poor health and behavioral outcomes. The Earned Income Tax Credit (EITC), first implemented in 1975, is the largest cash transfer program for working families with low income in the US. Objective: To assess whether cumulative EITC payments received during childhood are associated with the risk of criminal conviction during adolescence. Design, Setting, and Participants: In this cohort study, the analytic sample consisted of US children enrolled in the 1979 National Longitudinal Study of Youth...
November 1, 2022: JAMA Network Open
https://read.qxmd.com/read/36108079/hepatitis-b-virus-flares-following-nucleot-s-ide-analogue-cessation-are-associated-with-activation-of-tlr-signalling-pathways
#32
JOURNAL ARTICLE
Samuel Al Hall, Gareth S Burns, Benjamin J Mooney, Rosemary Millen, Rachel Morris, Sara Vogrin, Vijaya Sundararajan, Dilip Ratnam, Miriam T Levy, John S Lubel, Amanda J Nicoll, Simone I Strasser, William Sievert, Paul V Desmond, Meng C Ngu, Peter Angus, Marie Sinclair, Christopher Meredith, Gail Matthews, Peter A Revill, Kathy Jackson, Margaret Littlejohn, Scott Bowden, Stephen A Locarnini, Alexander J Thompson, Kumar Visvanathan
BACKGROUND AND AIMS: We evaluated the patterns of peripheral TLR signalling activity and the expression of TLRs and NK cell activation in a cohort of patients experiencing severe hepatitis flares after stopping NA therapy. METHODS: Samples were collected longitudinally from CHB patients enrolled in a prospective study of NA discontinuation. Patients experiencing hepatitis flares were compared to patients with normal ALT. PBMC were stimulated with TLR ligands and cytokine secretion in the cell culture supernatant measured...
September 15, 2022: Journal of Infectious Diseases
https://read.qxmd.com/read/36027739/micro-scale-pedestrian-streetscapes-and-physical-activity-in-hispanic-latino-adults-results-from-hchs-sol
#33
JOURNAL ARTICLE
James F Sallis, Jordan A Carlson, Adrian Ortega, Matthew A Allison, Carrie M Geremia, Daniela Sotres-Alvarez, Marta M Jankowska, Stephen J Mooney, Earle C Chambers, David B Hanna, Krista M Perreira, Martha L Daviglus, Linda C Gallo
We examined associations of micro-scale environment attributes (e.g., sidewalks, street crossings) with three physical activity (PA) measures among Hispanic/Latino adults (n = 1776) living in San Diego County, CA. Systematic observation was used to quantify micro-scale environment attributes near each participant's home. Total PA was assessed with accelerometers, and PA for transportation and recreation were assessed by validated self-report. Although several statistically significant interactions between individual and neighborhood characteristics were identified, there was little evidence micro-scale attributes were related to PA...
August 23, 2022: Health & Place
https://read.qxmd.com/read/35917082/earned-income-tax-credit-and-youth-violence-findings-from-the-youth-risk-behavior-surveillance-system
#34
JOURNAL ARTICLE
Kimberly Dalve, Caitlin A Moe, Nicole Kovski, Frederick P Rivara, Stephen J Mooney, Heather D Hill, Ali Rowhani-Rahbar
Family- and neighborhood-level poverty are associated with youth violence. Economic policies may address this risk factor by reducing parental stress and increasing opportunities. The federal Earned Income Tax Credit (EITC) is the largest cash transfer program in the US providing support to low-income working families. Many states have additional EITCs that vary in structure and generosity. To estimate the association between state EITC and youth violence, we conducted a repeated cross-sectional analysis using the variation in state EITC generosity over time by state and self-reported data in the Youth Risk Behavior Surveillance System (YRBSS) from 2005 to 2019...
August 2, 2022: Prevention Science: the Official Journal of the Society for Prevention Research
https://read.qxmd.com/read/35877997/microscale-pedestrian-environment-surrounding-pedestrian-injury-sites-in-washington-state-2015-2020
#35
JOURNAL ARTICLE
Julian Takagi-Stewart, Amy Muma, Christina V Umali, Michaela Nelson, Ishan Bansal, Sejal Patel, Monica S Vavilala, Stephen J Mooney
OBJECTIVE: While microscale pedestrian environment features such as sidewalks and crosswalks can affect pedestrian safety, it is challenging to assess microscale environment associated risk across locations or at scale. Addressing these challenges requires an efficient auditing protocol that can be used to assess frequencies of microscale environment features. For this reason, we developed an eight-item pedestrian environment virtual audit protocol and conducted a descriptive epidemiologic study of pedestrian injury in Washington State, USA...
July 25, 2022: Traffic Injury Prevention
https://read.qxmd.com/read/35817965/mechanical-checkpoint-regulates-monocyte-differentiation-in-fibrotic-niches
#36
JOURNAL ARTICLE
Kyle H Vining, Anna E Marneth, Kwasi Adu-Berchie, Joshua M Grolman, Christina M Tringides, Yutong Liu, Waihay J Wong, Olga Pozdnyakova, Mariano Severgnini, Alexander Stafford, Georg N Duda, F Stephen Hodi, Ann Mullally, Kai W Wucherpfennig, David J Mooney
Myelofibrosis is a progressive bone marrow malignancy associated with monocytosis, and is believed to promote the pathological remodelling of the extracellular matrix. Here we show that the mechanical properties of myelofibrosis, namely the liquid-to-solid properties (viscoelasticity) of the bone marrow, contribute to aberrant differentiation of monocytes. Human monocytes cultured in stiff, elastic hydrogels show proinflammatory polarization and differentiation towards dendritic cells, as opposed to those cultured in a viscoelastic matrix...
August 2022: Nature Materials
https://read.qxmd.com/read/35789918/machine-learning-approaches-for-measuring-neighborhood-environments-in-epidemiologic-studies
#37
REVIEW
Andrew G Rundle, Michael D M Bader, Stephen J Mooney
Purpose of review: Innovations in information technology, initiatives by local governments to share administrative data, and growing inventories of data available from commercial data aggregators have immensely expanded the information available to describe neighborhood environments, supporting an approach to research we call Urban Health Informatics. This review evaluates the application of machine learning to this new wealth of data for studies of the effects of neighborhood environments on health...
2022: Current Epidemiology Reports
https://read.qxmd.com/read/35789666/opportunities-and-challenges-of-using-social-media-big-data-to-assess-mental-health-consequences-of-the-covid-19-crisis-and-future-major-events
#38
JOURNAL ARTICLE
Martin Tušl, Anja Thelen, Kailing Marcus, Alexandra Peters, Evgeniya Shalaeva, Benjamin Scheckel, Martin Sykora, Suzanne Elayan, John A Naslund, Ketan Shankardass, Stephen J Mooney, Marta Fadda, Oliver Gruebner
The present commentary discusses how social media big data could be used in mental health research to assess the impact of major global crises such as the COVID-19 pandemic. We first provide a brief overview of the COVID-19 situation and the challenges associated with the assessment of its global impact on mental health using conventional methods. We then propose social media big data as a possible unconventional data source, provide illustrative examples of previous studies, and discuss the advantages and challenges associated with their use for mental health research...
2022: Discov Ment Health
https://read.qxmd.com/read/35719848/examining-the-built-environment-for-healthy-living-via-virtual-street-audits
#39
JOURNAL ARTICLE
Matthew Fifolt, Stephen J Mooney, Meena Nabavi, Maryam Karimi, Ariann Nassel, Lisa C McCormick
During the fall 2019 and spring 2020 semesters, 156 MPH students enrolled in the Integrative Learning Experience at the University of Alabama at Birmingham School of Public Health explored concepts of the built environment and health by auditing 2500 street segments in 4 urban neighborhoods in Birmingham, Alabama. In teams of 4 to 5, in-class and online students worked collaboratively to assess 63 built environment variables related to transportation, land use, advertisement, and neighborhood physical disorder...
2022: Environmental Health Insights
https://read.qxmd.com/read/35691640/validating-a-spatio-temporal-model-of-observed-neighborhood-physical-disorder
#40
JOURNAL ARTICLE
Jesse J Plascak, Stephen J Mooney, Mario Schootman, Andrew G Rundle, Adana A M Llanos, Bo Qin, Chi-Chen Hong, Kitaw Demissie, Elisa V Bandera, Xinyi Xu
This study tested spatio-temporal model prediction accuracy and concurrent validity of observed neighborhood physical disorder collected from virtual audits of Google Street View streetscapes. We predicted physical disorder from spatio-temporal regression Kriging models based on measures at three dates per each of 256 streestscapes (n = 768 data points) across an urban area. We assessed model internal validity through cross validation and external validity through Pearson correlations with respondent-reported perceptions of physical disorder from a breast cancer survivor cohort...
June 2022: Spatial and Spatio-temporal Epidemiology
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