Background: Some patients with Parkinson Disease (PD) report double vision, but its prevalence and determinants are unknown.
Objectives: To determine the prevalence and risk factors for diplopia in PD.
Methods: Using data from 26,790 PD patients and 9257 controls in the Fox Insight Study, we compared the prevalence of diplopia using the Non-Movement Symptom Questionnaire. Associations with age, race, gender, disease duration, and scores on MDS-UPDRS part II, and Penn Parkinson's Daily Activity Questionnaire were assessed with generalized estimating equations.
Results: The point prevalence of diplopia was higher in PD (18.1%) than controls (6.3%, < 0.001) at baseline, and 28.2% of all PD patients reported diplopia at least once during the study (period prevalence). PD patients with diplopia were more likely to be older, non-white, have greater disease duration, and report greater motor, non-motor, and daily activity limitations.
Conclusions: Diplopia is common and associates with motor and non-motor severity in PD.
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http://dx.doi.org/10.1002/mdc3.13220 | DOI Listing |
Am J Trop Med Hyg
January 2025
Department of Pediatrics, National School of Tropical Medicine, Section of Tropical Medicine, Baylor College of Medicine, Houston, Texas.
The burden of pathogenic enteric protozoa and soil-transmitted helminths among impoverished populations living on the Texas-Mexico border is unclear. We conducted a cross-sectional study on an ongoing longitudinal cohort of 616 adults residing in Starr County, Texas. A total of 359 adults were screened for four protozoa and five soil-transmitted helminths by using real-time polymerase chain reaction.
View Article and Find Full Text PDFJ Occup Environ Hyg
January 2025
Human and Environmental Physiology Research Unit, School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada.
With mines extending deeper and rising surface temperatures, workers are exposed to hotter environments. This study aimed to characterize heat stress and strain in the Canadian mining industry and evaluate the utility of the Heat Strain Score Index (HSSI), combined with additional self-reported adverse health outcomes. An exploratory web-based survey was conducted among workers ( = 119) in the Canadian mining industry.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Background: Despite the increasing popularity of electronic devices, the longitudinal effects of daily prolonged electronic device usage on brain health and the aging process remain unclear.
Objective: The aim of this study was to investigate the impact of the daily use of mobile phones/computers on the brain structure and the risk of neurodegenerative diseases.
Methods: We used data from the UK Biobank, a longitudinal population-based cohort study, to analyze the impact of mobile phone use duration, weekly usage time, and playing computer games on the future brain structure and the future risk of various neurodegenerative diseases, including all-cause dementia (ACD), Alzheimer disease (AD), vascular dementia (VD), all-cause parkinsonism (ACP), and Parkinson disease (PD).
JMIR Res Protoc
January 2025
Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA, United States.
Background: Low back pain (LBP) is highly prevalent and disabling, especially in agriculture sectors. However, there is a gap in LBP prevention and intervention studies in these physically demanding occupations, and to date, no studies have focused on horticulture workers. Given the challenges of implementing interventions for those working in small businesses, self-management offers an attractive and feasible option to address work-related risk factors and manage LBP.
View Article and Find Full Text PDFPurpose: To determine the status of depression and its key influencing factors among Chinese older adults in different living situations.
Method: Data of 7,092 older adults were obtained from the China Health and Retirement Longitudinal Survey. This study analyzed key variables influencing depressive symptoms using random forest modeling and logistic regression.
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