The present study is based on a retrospective analysis of archive data of the Clinical Department of the Urals Research Center for Radiation Medicine that has been established to examine and treat accidentally exposed residents of the Urals Region. All individuals included in this study were examined by an ophthalmologist. The study of cataract incidence has been conducted retrospectively for the period from 1951 till 2000 among chronically exposed residents of the Techa riverside villages (6343 persons). Individual accumulated absorbed doses to soft tissues (analogue of eye dose) reached 1.18 Gy (mean 0.12 Gy) while for 88.9% of the study group the dose did not exceed 0.1 Gy. There was no evidence of the influence of low-dose and low-dose rate on cataract incidence. Excess relative risk of cataract formation per 1 Gy was 0.40 (95% CI -0.43; 1.47). It is noted that 15% of all excess cases were registered in persons with soft tissue dose above 0.3 Gy, though their fraction among all examined persons was only 4.1%. Risk of cataract development significantly increased in exposed individuals with retinal angiosclerosis, diabetes and arterial hypertension.
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http://dx.doi.org/10.1007/s00411-017-0702-9 | DOI Listing |
Front Behav Neurosci
December 2024
Center for Neuropsychology and Consciousness, Miami, FL, United States.
While PTSD continues to be researched in great depth, less attention has been given to the continuum of traumatic responses that resides outside this diagnosis. This investigation begins with a literature review examining the spectrum of responses through the lens of the default mode network (DMN). To build upon this literature, a systematic exploratory study was incorporated, examining DMN-related neuropsychological functioning of 27 participants (16 trauma-exposed, and 11 non-trauma-exposed), with a subset (15 participants) completing neuroimaging.
View Article and Find Full Text PDFBMC Med
January 2025
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Background: Over the past decades, the prevalence of obesity among adults has rapidly increased, particularly in socioeconomically deprived urban neighbourhoods. To better understand the complex mechanisms behind this trend, we created a system map exposing the underlying system driving obesity prevalence in socioeconomically deprived urban neighbourhoods over the last three decades in the Netherlands.
Methods: We conducted Group Model Building (GMB) sessions with a group of thirteen interdisciplinary experts to develop a Causal Loop Diagram (CLD) of the obesogenic system.
Top Companion Anim Med
January 2025
Vet-OncoNet, Population Studies Department, ICBAS - Instituto de Ciências Biomédicas Abel Salazar-, University of Porto, Rua de Jorge Viterbo Ferreira, 228 4050-313, Porto, Portugal.
Environmental factors, largely influenced by human behavior, account for approximately 80% of malignant tumors. Risk factors associated with non-Hodgkin's lymphoma (NHL) have been identified in various countries among both humans and domestic animals. This study aimed to investigate potential risk factors for NHL in dogs residing in the district of Porto, Portugal.
View Article and Find Full Text PDFHealth Econ
January 2025
School of International Trade and Economics, University of International Business and Economics, Beijing, China.
While the direct health impacts of air pollution are widely discussed, its indirect effects, particularly during pandemics, are less explored. Utilizing detailed individual-level data from all designated hospitals in Wuhan during the initial COVID-19 outbreak, we examine the impact of air pollution exposure on treatment costs and health outcomes for COVID-19 patients. Our findings reveal that patients exposed more intensively to air pollution, identified by their residence in downwind areas of high-polluting enterprises, not only had worsened health outcomes but also consumed more medical resources.
View Article and Find Full Text PDFCognition
January 2025
Department of Psychology, University of Waterloo, Waterloo, ON, Canada.
How do we infer the beliefs of an entire group (e.g., Democrats) after being exposed to the beliefs of only a handful of group members? What if we know that the beliefs we encountered were selected in a biased manner? Across two experiments, we recruited 640 U.
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