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Diseases Commons

Open Access. Powered by Scholars. Published by Universities.®

Public Health

Rowan University

2023

New Jersey

Articles 1 - 4 of 4

Full-Text Articles in Diseases

What More Can Be Done? Childhood Obesity In Glassboro, Nj, N. Mirmanesh, Seth Spicer, Stephen Acheampong, Mary K. Duggan May 2023

What More Can Be Done? Childhood Obesity In Glassboro, Nj, N. Mirmanesh, Seth Spicer, Stephen Acheampong, Mary K. Duggan

Rowan-Virtua Research Day

Childhood obesity is a growing public health concern in the United States, with an estimated 20% of American children being obese. In New Jersey (NJ), 9% of high school students are obese, and there are disparities in obesity rates based on gender, sexual identity, and race/ethnicity. In Gloucester County, NJ, limited data is available on childhood obesity rates, but 36.4% of adults are obese, and lower SES is related to higher rates of obesity in youth. To address this issue, this research poster proposes a partnership with the Boys and Girls Club of Glassboro to provide nutritional resources and create …


Breaking Down Barriers: Investigating Structural And Systemic Factors That Contribute To Covid-19 Disparities In African American Communities In New Jersey, Fazal Choudhary, Suraj Pothineni May 2023

Breaking Down Barriers: Investigating Structural And Systemic Factors That Contribute To Covid-19 Disparities In African American Communities In New Jersey, Fazal Choudhary, Suraj Pothineni

Rowan-Virtua Research Day

Background: The COVID-19 pandemic has affected the lives of millions of Americans; however, minority communities have been hit the hardest as infection rates continue to sky rocket and new variants arise. As of October 5, 2021, the CDC reports that African Americans make up a similar share of cases relative to the overall population, at about 12%, but have a significantly higher rate of deaths compared to the population, at approximately14%. African American communities are being disproportionately affected because of higher incidence of chronic diseases, inadequate access to health care, and poorer living and working conditions, which increases their vulnerability …


Exploring Risk Factors For Major Depressive Disorder For Female Patients Aged 18 Or Older Living In Ocean County, New Jersey, James Mack May 2023

Exploring Risk Factors For Major Depressive Disorder For Female Patients Aged 18 Or Older Living In Ocean County, New Jersey, James Mack

Rowan-Virtua Research Day

Background: The incidence and prevalence of major depressive disorder has been increasing worldwide, in the United States of America, and on a local level. The population of Ocean County, New Jersey, a predominantly Caucasian, female, middle-aged population, may be at increased risk of developing major depressive disorder.

Purpose: To explore the social determinants of health and risk factors for major depressive disorder for female patients aged 18 or older living in Ocean County, New Jersey.

Methods: This literature review mainly used PubMed and Scopus for journal articles and utilized governmental databases for additional population data.

Results: Analyses conducted on social …


Comorbidities, Behaviors, And Socioeconomic Factors And Mortality From Diseases Of The Heart In New Jersey, Matthew Guariglia, Stephen Poos, Ahmed Gawash, David Lo, Aayush Visaria May 2023

Comorbidities, Behaviors, And Socioeconomic Factors And Mortality From Diseases Of The Heart In New Jersey, Matthew Guariglia, Stephen Poos, Ahmed Gawash, David Lo, Aayush Visaria

Rowan-Virtua Research Day

Mortality from diseases of the heart claimed the lives of 186,074 New Jerseyans from 2010 to 2019. This study aims to establish correlations between each of health-related risk factors and death from heart disease in each of six New Jersey counties. Each of the counties ranked by age-adjusted mortality per 100,000 from diseases of the heart. The six counties were divided by the least (Hunterdon, Somerset, Bergen) and greatest (Cape May, Salem, and Cumberland) mortality rates from heart disease. Additionally, this data was broken down into three main categories that include comorbidities, socioeconomic status, and behavior patterns. Each main category …