Introduction: Persons with military involvement may be more likely to have Parkinson's disease (PD) risk factors. As PD is rare, case finding remains a challenge, contributing to our limited understanding of PD risk factors. Here, we explore the validity of case-finding strategies and whether military employment is associated with PD.
Materials And Methods: We identified Adult Changes in Thought (ACT) study participants reporting military employment as their longest or second longest occupation. We used self-report and prescription fills to identify PD cases and validated this case-finding approach against medical record review.
Results: At enrollment, 6% of 5,125 eligible participants had military employment and 1.8% had prevalent PD; an additional 3.5% developed PD over follow-up (mean: 8.3 years). Sensitivity of our case-finding approach was higher for incident (80%) than prevalent cases (54%). Specificity was high (>97%) for both. Military employment was not associated with prevalent PD. Among nonsmokers, point estimates suggested an increased risk of incident PD with military employment, but the result was non-significant and based on a small number of cases.
Conclusions: Self-report and prescription medications can accurately identify incident PD cases relative to the reference method of medical record review. We found no association between military employment and PD.
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http://dx.doi.org/10.1080/02699052.2022.2158234 | DOI Listing |
Ann Gen Psychiatry
December 2024
Tuscaloosa VA Medical Center, 3701 Loop Rd, Tuscaloosa, AL, 35404, USA.
Opioid Use Disorder (OUD) is a pervasive and devastating public health crisis that continues to take a heavy toll on individuals and communities across the United States. In 2021, approximately 473,000 veterans misused opioids in the past year. In the context of their military service and post-service life, Veterans with OUD often encounter unique barriers to recovery, including the reintegration into civilian society and the pursuit of stable, meaningful employment.
View Article and Find Full Text PDFHeliyon
December 2024
School of Medical Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
Background: The convergence of healthcare and artificial intelligence (AI) introduces a transformative era in medical practice. However, the knowledge and attitudes of healthcare workers concerning the adoption of artificial intelligence in healthcare are currently unknown.
Aims: The primary objective was to investigate the knowledge and attitudes of healthcare professionals in Dhaka city, Bangladesh, regarding the adoption of AI in healthcare.
Int J Eat Disord
December 2024
Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Objective: The COVID-19 pandemic caused millions of deaths worldwide and significantly impacted people with eating disorders, exacerbating symptoms and limiting access to care. This study examined the association between COVID-19 death-related loss-defined as the death of a family member, friend, or acquaintance due to COVID-19-and mental health among people with preexisting eating disorders in the United States (US), the Netherlands, and Sweden.
Method: Participants with a history of eating disorders completed a baseline survey early in the pandemic (US: N = 511; Netherlands: N = 510; Sweden: N = 982) and monthly (US, the Netherlands) or biannual (Sweden) follow-ups from April 2020 to May 2021.
Int J Popul Data Sci
December 2024
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Introduction: In the UK, mental disorders are one of the most common reasons for claiming a benefit relating to unemployment, income, sickness and disability. Limited information exists regarding the demographic characteristics and psychiatric profiles of working age individuals claiming benefits in London. Until recently, detailed data on both mental disorders and benefit receipt were unavailable.
View Article and Find Full Text PDFCochrane Database Syst Rev
November 2024
Neuroscience and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
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