Age-expectations of 611 non-Latino white, African-American, and Latino seniors recruited at 14 community-based senior centers in the greater Los Angeles region were compared. Participants completed the Expectations Regarding Aging (ERA-38) Survey, a self-administered instrument with previously demonstrated reliability and validity for measuring age-expectations. Analysis of variance was used to compare unadjusted differences between scores across ethnic groups. To examine whether observed differences persisted after adjusting for health and sociodemographic characteristics, a series of linear regression models was constructed, with the dependent variable being total ERA-38 score and the primary independent variables being African-American and Latino ethnicity (reference group=white), adjusting for age, sex, physical and mental health-related quality of life (HRQoL), medical comorbidity, activity of daily living (ADL) impairments, depression, and education. Latinos had significantly lower overall age-expectations than non-Latino whites or African Americans after adjusting for age and sex (parameter estimate=-3.4, P=.01); this difference persisted after adjusting for health variables including medical comorbidity, HRQoL, ADL impairments, and depression. After adjusting for education, being Latino was no longer significantly associated with lower age-expectations (parameter estimate=-1.9, P=.18). Being African American was not significantly associated with age-expectations in any of the adjusted models. Younger age and better HRQoL were associated with higher age-expectations in all models. In conclusion, of these 611 older adults recruited at senior centers in the greater Los Angeles region, Latinos had significantly lower age-expectations than non-Latino whites and African Americans, even after adjusting for health characteristics, but differences in educational levels explained this difference.
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http://dx.doi.org/10.1111/j.1532-5415.2006.00834.x | DOI Listing |
Ann Intern Med
January 2025
Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts (R.J.D., N.K.C., N.H., J.C.L.).
Background: The evidence informing the harms of gabapentin use are at risk of bias from comparing users with nonusers.
Objective: To describe the risk for fall-related outcomes in older adults starting treatment with gabapentin versus duloxetine.
Design: New user, active comparator study using a target trial emulation framework.
JMIR Med Inform
January 2025
Medical Big Data Research Center, Chinese PLA General Hospital, Beijing, China.
Background: Machine learning models can reduce the burden on doctors by converting medical records into International Classification of Diseases (ICD) codes in real time, thereby enhancing the efficiency of diagnosis and treatment. However, it faces challenges such as small datasets, diverse writing styles, unstructured records, and the need for semimanual preprocessing. Existing approaches, such as naive Bayes, Word2Vec, and convolutional neural networks, have limitations in handling missing values and understanding the context of medical texts, leading to a high error rate.
View Article and Find Full Text PDFHum Reprod
January 2025
Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
Study Question: Are empirically derived adolescent overweight/obesity phenotypes differentially associated with polycystic ovary syndrome (PCOS) in young adulthood?
Summary Answer: Self-reported PCOS diagnosis risk in young adulthood varied by empirically derived adolescent overweight/obesity phenotypes, with the highest risk observed among those in the 'mothers with obesity' and 'early puberty' phenotypes.
What Is Known Already: Overweight and obesity during puberty are postulated to promote the development of PCOS. Much of the prior literature in this area is cross-sectional and defines weight status based solely on BMI, yet emerging research suggests that not all people with overweight/obesity have the same risk for chronic health conditions, including PCOS.
JCO Oncol Pract
January 2025
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA.
Purpose: National Comprehensive Cancer Network Guidelines recommend initiating postoperative radiation therapy (PORT) within 6 weeks of surgery for patients with head and neck squamous cell carcinoma (HNSCC), but delays affect 50% of patients, disproportionately burden minoritized groups, and contribute to worse oncologic outcomes. This trial evaluates the efficacy of Navigation for Disparities and Untimely Radiation thErapy (NDURE), an enhanced navigation-based intervention, relative to usual care (UC) patient navigation for starting timely PORT.
Methods: Adults with locally advanced HNSCC planning to undergo surgery and PORT were randomly assigned 1:1 to standard multidisciplinary head and neck oncology care and either NDURE, a multilevel navigation-based intervention to enhance key processes of care and overcome barriers to timely PORT, or UC, which consisted of standard patient navigation.
J Comput Assist Tomogr
November 2024
From the Carl E. Ravin Advanced Imaging Labs, Center for Virtual Imaging Trials, Department of Radiology.
Objective: Patient characteristics, iodine injection, and scanning parameters can impact the quality and consistency of contrast enhancement of hepatic parenchyma in CT imaging. Improving the consistency and adequacy of contrast enhancement can enhance diagnostic accuracy and reduce clinical practice variability, with added positive implications for safety and cost-effectiveness in the use of contrast medium. We developed a clinical tool that uses patient attributes (height, weight, sex, age) to predict hepatic enhancement and suggest alternative injection/scanning parameters to optimize the procedure.
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