Background First trimester prenatal care (FTPNC) is associated with improved birth outcomes. U.S.-Mexico border Hispanic women have lower FTPNC than non-border or non-Hispanic women. This study aimed to identify (1) what demographic, knowledge and care-seeking factors influence FTPNC among Hispanic women in border counties served by five Healthy Start sites, and (2) what FTPNC barriers may be unique to this target population. Healthy Starts work to eliminate disparities in perinatal health in areas with high poverty and poor birth outcomes. Methods 403 Hispanic women of reproductive age in border communities of California, Arizona, New Mexico and Texas were surveyed on knowledge and behaviors related to prenatal care (PNC) and basic demographic information. Chi square analyses and logistic regressions were used to identify important relationships. Results Chi square analyses revealed that primiparous women were significantly less likely to start FTPNC than multiparous women (χ = 6.8372, p = 0.0089). Women with accurate knowledge about FTPNC were more likely to obtain FTPNC (χ = 29.280, p < .001) and more likely to have seen a doctor within the past year (χ = 5.550, p = .018). Logistic regression confirmed that multiparity was associated with FTPNC and also that living in Texas was negatively associated with FTPNC (R = 0.066, F(9,340) = 2.662, p = .005). Among 27 women with non-FTPNC, barriers included late pregnancy recognition (n = 19) and no medical insurance (n = 5). Conclusions This study supports research that first time pregnancies have lower FTPNC, and demonstrated a strong association between delayed PNC and late pregnancy recognition. Strengthened investments in preconception planning could improve FTPNC in this population.
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http://dx.doi.org/10.1007/s10995-017-2374-0 | DOI Listing |
Background: Polycystic ovary syndrome (PCOS) is a complex endocrinopathy, which leads to ovulation dysfunction and infertility, as well as metabolic and mental disorders. Women with PCOS exhibit several characteristic symptoms, with marked heterogeneity across different races and ethnicities.
Methods: In this review, the author outlines the phenotypic disparities of PCOS among various racial and ethnic populations.
Adv Radiat Oncol
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Division of Epidemiology and Social Sciences, Institute for Health and Equity, Medical College of Wisconsin.
Purpose: Improving locoregional control for breast cancer (BC) results in better overall survival. Contemporary redlining is associated with worse BC survival in older patients. Self-reported race is associated with survival, redlining, and access to care.
View Article and Find Full Text PDFBMJ Case Rep
January 2025
Department of Internal Medicine, University of Kentucky, Lexington, Kentucky, USA.
BCR::ABL1-like B-lymphoblastic leukaemia (B-ALL) neoplasms lack the BCR::ABL1 translocation but have a gene expression profile like BCR::ABL1 positive B-ALL. This includes alterations in cytokine receptors and signalling genes, such as and Cases with CRLF2 rearrangements account for approximately 50% of cases of Philadelphia-like acute lymphoblastic leukaemia (Ph-like ALL), and the frequency of specific genomic lesions varies with ethnicity such that IGH::CRLF2 translocations are more common in Hispanics and Native Americans.We report two cases of BCR::ABL1-like ALL, with significant eosinophilia.
View Article and Find Full Text PDFCancer Epidemiol
January 2025
Florida International University Herbert Wertheim College of Medicine, Miami, FL, USA. Electronic address:
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View Article and Find Full Text PDFUrogynecology (Phila)
February 2025
Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.
Importance: Women who identify as Black or African American are underrepresented in research about pelvic floor disorders.
Objectives: The objectives of this study were to describe the prevalence of and factors associated with urinary incontinence (UI) and UI care-seeking among adult women in a Wisconsin household survey.
Study Design: This was a cross-sectional analysis of data collected by the Survey of the Health of Wisconsin (SHOW).
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