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The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets.
JMIR Med Inform
January 2025
Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.
View Article and Find Full Text PDFSex Differences in Early/Unplanned Separation Among US Service Members With a History of Mild Traumatic Brain Injury.
J Head Trauma Rehabil
January 2025
Author Affiliations: Program Executive Office, Defense Healthcare Management Systems, Arlington, Virginia (Ms Wal and Dr Caban); National Center for Collaborative Healthcare Innovation (NCCHI), VA Palo Alto Health Care System, Palo Alto, California (Mr Hoover); Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, Massachusetts (Dr Adams); Veterans Health Administration Rocky Mountain Mental Illness Research Education and Clinical Center, Aurora, Colorado (Drs Adams and Forster); Department of Physical Medicine & Rehabilitation, University of Colorado, Anschutz Medical Campus, Aurora, Colorado (Dr Forster); and Uniformed Services University of the Health Sciences, Graduate School of Nursing, Bethesda, Maryland (Dr Engler).
Objective: To investigate the incidence of early/unplanned (E/U) separations following mild traumatic brain injury (mTBI) and assess whether sex impacts the hazard of separation.
Setting: Military Health System (MHS).
Participants: Active duty service members (N = 75,730) with an initial mTBI diagnosis in military records between January 2011 and January 2018.
Cardiovascular Implications of Non-steroidal Anti-inflammatory Drugs: A Comprehensive Review, with Emphasis on Patients with Rheumatoid Arthritis.
Eur Cardiol
December 2024
REMEDY Center for Treatment of Rheumatic and Musculoskeletal Diseases, Diakonhjemmet Hospital Oslo, Norway.
This review examines the cardiovascular risks associated with the use of non-steroidal anti-inflammatory drugs (NSAIDs), both traditional NSAIDs and cyclooxygenase-2 selective inhibitors (COXIBs). It describes the history of traditional NSAIDs and the development of COXIBs to explain why their cardiovascular side effects were unnoticed for many decades. Further, the review presents the mechanism of action of NSAIDs, to elucidate the possible underlying basis for why they are associated with an increased risk of cardiovascular disease.
View Article and Find Full Text PDFInvesting in equitable healthy aging: Why Africa must reform social pension schemes to improve Alzheimer's disease and dementia outcomes.
Alzheimers Dement
January 2025
Brain and Mind Institute, Aga Khan University, Nairobi, Kenya.
The eligibility criteria for social pension schemes in Africa hinder equitable and healthy aging. In 2019, women in 14 sub-Saharan African countries had an average life expectancy of 67 years but a healthy life expectancy of only 57 years, leaving them 5 years in poor health before receiving a pension at age 62. Men had a similar situation-a life expectancy of 62 years and a healthy life expectancy of 53 years, spending 10 years in poor health before becoming eligible for pensions at age 63.
View Article and Find Full Text PDFThe biological intersection between chemotherapy-related cognitive impairment and Alzheimer's disease.
Am J Pathol
January 2025
Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Alzheimer's disease (AD) is the most common type of dementia and one of the leading causes of death in elderly patients. The number of patients with AD in the United States is projected to double by 2060. Thus, understanding modifiable risk factors for AD is an urgent public health priority.
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