Purpose: This study explores whether nativity differences in health care and sociodemographic factors help to account for nativity differences in low birth weight (LBW) when comparing US-born Black women (USBW) to Black Immigrant women (BIW).
Methods: Bivariate analyses and multinomial nested logit (MNL) models were performed using the National Survey of Family Growth (NSFG) dataset.
Results: Statistically significant nativity differences between USBW and BIW were found across variables of LBW (p = .
Background: Numerous studies have been conducted to seek a better understanding of disparities in adverse pregnancy outcomes. The present study aimed to explore racial differences in influential socio-demographic, economic, and environmental factors in women who have had a low birth weight (LBW) infant (outcome variable).
Study Design: A cross-sectional study.
COVID-19 was recognized as a pandemic in the United States in March 2020. Since the emergence, research has explored conditions associated with the illness; however, racial disparities remain underexplored. The purpose of this paper is to explore disparities in conditions associated with an increased severity risk of COVID-19 including race, personal factors, healthcare accessibility, and affordability.
View Article and Find Full Text PDFThis paper explores racial disparities and risk factors of adverse pregnancy outcomes in Black and White pregnant women in the US. The study uses a cross-sectional approach to explore Black and White disparities using data from the 2012 National Survey on Drug Use and Health (NSDUH), which collects interview data from approximately 70,000 randomly selected participants. We included several self-reported conditions that we categorised as individual and social stressors (e.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
June 2016
Objective: This paper describes racial disparities in low birthweight (LBW) risk between Black women and White women and examines the relationship between race and stressors such as socioeconomic factors, access to health care, and social and health characteristics.
Methods: We analyzed data from the National Survey of Family Growth dataset collected in the USA between 2006 and 2010 (N = 1516). Multivariate logistic regression models were performed.
Disabil Rehabil Assist Technol
February 2016
Purpose: To examine the relationships among Assistive Technology (AT) use, race, type of disability and selected other demographic characteristics.
Method: Using 2009 National Health Interview Survey, descriptive statistics, statistical interactions and binary logistic regression were performed to identify, contrast and predict the likelihood of using AT based on the type of disability among African Americans (AAs) and European Americans (EAs).
Results: We found that more AAs (10% within group proportion of total AAs) used AT compared to EAs (7.
Aim: This study examines the role of stress in low birthweight (LBW) risk in Black and White women in the United States.
Methods: Data from the 1998-2000 Fragile Family and Child Wellbeing Study were used (n = 3869). We included several self-reported conditions which we categorised as stressors (i.