Background: Little is known about prostate and colorectal cancer knowledge, attitudes, and screening practices among U.S. Latino men. Even less is known about the population's subgroup variations. This study assessed predictors of having obtained digital rectal examinations (DREs) among four Latino subgroups.
Methods: Findings in this report are based on a cross-sectional telephone survey conducted between October 1993 and June 1994 as part of a multisite demonstration project for cancer prevention and control. The survey was conducted in eight U.S. cities identified via census data as having relatively high concentrations of targeted Latino subgroups. The analysis included 1499 Latino men aged > or = 40 who self-identified as Central American, Cuban American, Mexican American, or Puerto Rican.
Results: Overall, 53% of the sample reported ever having had a DRE and 68% reported ever having heard of the procedure. For all subgroups, the only significant predictor for obtaining a DRE was "ever heard of DRE." "Having your doctor discuss DRE" was a significant factor for Mexican Americans and Puerto Ricans.
Conclusions: The lack of a universal DRE cancer-screening model among Latino groups highlights the need to address barriers in the context of the population's diversity. Ecologic approaches and clinician communication with Latinos need to be tailored to accommodate subgroup differences in knowledge, attitude, and practices related to DRE.
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http://dx.doi.org/10.1016/s0749-3797(01)00401-9 | DOI Listing |
JMIR Form Res
January 2025
1, Department of Health Administration, College of Software and Digital Healthcare Convergence, Yonsei University, Changjogwan, Yonseidae-gil 1, Wonju, 26493, Republic of Korea, +82 (0) 33-760-2257.
Background: Diabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population.
Objective: This study determined diabetes risk factors among older adults aged ≥60 years using machine learning algorithms and selected an optimized prediction model.
Methods: This cross-sectional study was conducted on 3084 older adults aged ≥60 years in Seoul from January to November 2023.
J Neuroimaging
January 2025
Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.
Background And Purpose: Prolonged length of stay (LOS) following a stroke is associated with unfavorable clinical outcomes. Factors predicting LOS in medium vessel occlusion (MeVO), impacting up to 40% of acute ischemic stroke (AIS) cases, remain underexplored. This study aims to investigate the predictors of LOS in AIS-MeVO.
View Article and Find Full Text PDFCureus
December 2024
Clinical Neurosciences and Mental Health Laboratory, Hassan II University, Faculty of Medicine and Pharmacy, Casablanca, MAR.
Background The transformative potential of technology in addressing mental healthcare challenges is more widely acknowledged in Morocco. The government has taken active measures to address persistent mental health challenges and provide better care by exploring innovative digital solutions. Several e-health services initiatives have been implemented, including electronic health record systems, telemedicine services, e-appointment systems, and mobile health applications.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Background: We systematically reviewed neuroimaging predictors for malignant brain oedema (MBE) after thrombectomy in patients with ischemic stroke.
Methods: We searched MEDLINE and EMBASE in November 2023 for studies of patients with ischemic stroke. We included studies investigating neuroimaging predictors or prediction models for MBE after thrombectomy.
BMC Med Imaging
January 2025
Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324 Jingwu Road, Jinan, Shandong, 251200, China.
Background: The purpose of our study was to investigate the association between non-alcoholic fatty liver disease (NAFLD) and abdominal aortic aneurysms (AAA) progression using non-enhanced computed tomography (CT) and CT angiography (CTA).
Methods: Patients with AAA and age- and sex-matched healthy subjects who underwent abdominal CTA and non-enhanced CT examination between January 2015 and January 2023 from four hospitals were retrospectively analyzed. Patients with AAA were divided into progression (growth rate > 10 mL/year) and non-progression groups, as well as those with NAFLD and without NAFLD, based on abdominal CT results.
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