Medicine and Health Sciences Commons^™

Implicit Bias Among Health Professionals, Kimora H. Toussaint, Javiela Evangelista

Publications and Research

Racism and implicit bias are prevalent in healthcare, which may affect patient well-being. One way implicit bias is most evident is in language. Negative descriptors, such as “sickler”—a term used for those diagnosed with Sickle Cell Disease (SCD), influence how health providers view their patients and determine pain medication prescriptions (Goddu et al.). Patient experience, such as prior use of opioids or using words that imply substance abuse, may block patients from accessing prescriptions and proper care. Black, Indigenous, and People of Color (BIPOC) are disproportionately affected by such negative descriptors (Sun et al., 2022). Among other adverse impacts, treating …

Examining The Evidence Base For Burnout, Renzo Bianchi, Irvin Sam Schonfeld

Publications and Research

Burnout has elicited growing interest among occupational health specialists in recent decades. Since 2019, the World Health Organization has characterized burnout as a syndrome resulting from chronic, unmanageable workplace stress. According to the ICD-11, three symptoms define the entity: feelings of exhaustion, increased mental distance from one’s job, and a sense of ineffectiveness at work, all of which correspond to the structure of the Maslach Burnout Inventory. The ICD-11 includes burnout among the factors that influence health status. This paper calls into question that conceptualization based on a number of lines of evidence. The evidence includes the following: burnout was …

Longitudinal Trends (2011–2020) Of Premature Mortality And Years Of Potential Life Loss (Ypll) And Associated Covariates Of The 62 New York State Counties, Maria-Isabel Roldos, John Orazem, Talita Fortunato-Tavares

Publications and Research

Background

New York State (NYS) is the 27th largest state and the 4th most populous state in the U.S., with close to 20 million people in 62 counties. Territories with diverse populations present the best opportunity to study health outcomes and associated covariates, and how these differ across different populations and groups. The County Health Ranking and Roadmaps (CHR&R) ranks counties by linking the population’s characteristics and health outcomes and contextual factors in a synchronic approach.

Methods

The goal of this study is to analyze the longitudinal trends in NYS counties of age‑adjusted premature mortality rate and years of potential …

Longitudinal Trends (2011–2020) Of Premature Mortality And Years Of Potential Life Loss (Ypll) And Associated Covariates Of The 62 New York State Counties, Maria-Isabel Roldos, John Orazem, Talita Fortunato-Tavares

Publications and Research

Background

New York State (NYS) is the 27th largest state and the 4th most populous state in the U.S., with close to 20 million people in 62 counties. Territories with diverse populations present the best opportunity to study health outcomes and associated covariates, and how these differ across different populations and groups. The County Health Ranking and Roadmaps (CHR&R) ranks counties by linking the population’s characteristics and health outcomes and contextual factors in a synchronic approach.

Methods

The goal of this study is to analyze the longitudinal trends in NYS counties of age-adjusted premature mortality rate and years of potential …

The Compound Risk Of Heat And Covid-19 In New York City: Riskscapes, Physical And Social Factors, And Interventions, Janelle Knox-Hayes, Juan Camilo Osorio, Natasha Stamler, Maria Dombrov, Rose Winer, Mary Hannah Smith, Reginald Blake, Cynthia Rosenzweig

Publications and Research

Climate change is disrupting the fundamental conditions of human life and exacerbating existing inequity by placing further burdens on communities that are already vulnerable. Risk exposure varies by where people live and work. In this article, we examine the spatial overlap of the compound risks of COVID-19 and extreme heat in New York City. We assess the relationship between socio-demographic and natural, built and social environmental characteristics, and the spatial correspondence of COVID-19 daily case rates across three pandemic waves. We use these data to create a compound risk index combining heat, COVID-19, density and social vulnerability. Our findings demonstrate …

Validation Of The Occupational Depression Inventory In Brazil: A Study Of 1,612 Civil Servants, Renzo Bianchi, Danísio Calixto Cavalcante, Cristina Queirós, Blezi Daiana Menezes Santos, Jay Verkuilen, Irvin Sam Schonfeld

Publications and Research

Objective: The Occupational Depression Inventory (ODI) assesses work-attributed depressive symptoms. The ODI has demonstrated robust psychometric and structural properties. To date, the instrument has been validated in English, French, and Spanish. This study examined the psychometric and structural properties of the ODI's Brazilian-Portuguese version.

Methods: The study involved 1612 civil servants employed in Brazil (MAGE = 44, SDAGE = 9; 60% female). The study was conducted online across all Brazilian states.

Results: Exploratory structural equation modeling (ESEM) bifactor analysis indicated that the ODI meets the requirements for essential unidimensionality. The general factor accounted for 91% of the common variance extracted. …

The Pandemic Anxiety Inventory: A Validation Study, Irvin Sam Schonfeld, Tasmyn Prytherch, Mark Cropley, Renzo Bianchi

Publications and Research

The Pandemic Anxiety Inventory (PAI) assesses anxiety symptoms individuals attribute to the presence of a pandemic. We conducted this study of 379 British adults during the COVID-19 pandemic and found that the PAI exhibited excellent reliability and solid criterion validity. Pandemic anxiety was associated with reduced social support, anticipated life changes, financial strain, job loss, economic insecurity, and the hospitalization or death of a close friend or relative. Using correlational and bifactor analyses, we found that the PAI demonstrated solid convergent and discriminant validity. The findings suggest that the PAI can be used in research and clinical practice.

The Pandemic Anxiety Inventory: A Validation Study, Irvin Sam Schonfeld, Tasmyn Prytherch, Mark Cropley, Renzo Bianchi

Publications and Research

The Pandemic Anxiety Inventory (PAI) assesses anxiety symptoms individuals attribute to the presence of a pandemic. We conducted this study of 379 British adults during the COVID-19 pandemic and found that the PAI exhibited excellent reliability and solid criterion validity. Pandemic anxiety was associated with reduced social support, anticipated life changes, financial strain, job loss, economic insecurity, and the hospitalization or death of a close friend or relative. Using correlational and bifactor analyses, we found that the PAI demonstrated solid convergent and discriminant validity. The findings suggest that the PAI can be used in research and clinical practice.

Serum Cotinine As A Predictor Of Lipid-Related Indices In Turkish Immigrants With Type 2 Diabetes: A Clinic-Based Cross-Sectional Study, Shiryn D. Sukhram, Gustavo G. Zarini, Lemia H. Shaban, Joan A. Vaccaro, Avinash R. Sukhram, Fatma G. Huffman

Publications and Research

Background: Turkish immigrants form the largest ethnic minority group in the

Netherlands and show a higher prevalence of (i) cardiovascular disease (CVD),

(ii) cigarette smoking, and (iii) type 2 diabetes (T2D) as compared to the native

Dutch. This study examines the association of CVD risk factors: serum cotinine, as

an indicator of cigarette smoke, and lipid-related indices among first-generation

(foreign-born) Turkish immigrants with T2D living in deprived neighbourhoods in the

Netherlands.

Methods: A total of 110 participants, physician-diagnosed with T2D, aged 30 years

and older, were recruited by convenience sampling from the Schilderswijk

neighbourhood of The Hague in a clinic-based …

Toward A New Approach To Job-Related Distress: A Three-Sample Study Of The Occupational Depression Inventory, Renzo Bianchi, James Sowden, Jay Verkuilen, Irvin Sam Schonfeld

Publications and Research

The Occupational Depression Inventory (ODI) was recently developed to assess depressive symptoms that individuals specifically attribute to their work. One purpose of the ODI is to respond to limitations of current assessments of job-related distress, most notably, assessments relying on the burnout construct. In this study, we conducted a thorough examination of the psychometric and structural properties of the ODI using exploratory structural equation modelling bifactor analysis and Mokken scale analysis. The study involved three samples of employed individuals, recruited in France (N = 3454), Switzerland (N = 1971), and Australia (N = 1485). Results were consistent across the three …

Soft X-Ray And Susceptibility Based Magnetic Resonance Imaging To Map Iron Distribution In Apples: Initial Results To Model Iron Storage In Water-Deficient Or Dehydrated Biological Tissue, Subhendra N. Sarkar, Eric Lobel, Evans Lespinasse, Zoya Vinokur, Analia Basilicata, Sonia Orellana, Maria Orellana, Aaliyah Salmon, Joanna Syska, Aravis Mcbroom, Jian Wang, Anam Riaz, Jodi-Ann Douglas

Publications and Research

Radiology departments have contributed significantly to greenhouse gases including release of toxic imaging contrast media to environment. We feel Radiology also has several spectroscopy and imaging tools that may apply to monitor and support cleaner environmental goals. The current manuscript is one of the firsts to prompt Radiology to move in that direction by non invasive imaging of bio metals that are less abundant in biological tissues but play key roles as co-factors in tissue structure and function. Conventional analytical tools are mostly invasive and cannot characterize the native oxidation states of bio metals. We chose carbohydrate matrix of metal-rich …