The purpose of this study was to evaluate the hematotoxic, hepatotoxic and nephrotoxic responses following lead exposure among battery workers. . Seventy-eight battery workers exposed to lead and 78 non-exposed subjects were studied. Fasting blood samples were collected to assess kidney and liver function and hematological parameters. To determine the breathing zone and blood lead levels (BLLs), the samples were analyzed in accordance with NIOSH methods 7082 and 8003, respectively. . The battery workers had significantly higher breathing zone lead and BLLs than the non-exposed group. In battery workers, most hematological parameters, including red blood cells, hemoglobin, mean corpuscular volume, mean corpuscular hemoglobin and mean corpuscular hemoglobin concentration, have significantly decreased. In contrast, the white blood cell count has shown a significant increase as compared to the controls. The mean levels of alanine aminotransferase and aspartate aminotransferase as biomarkers of liver damage and the creatinine serum levels as a result of renal failure were significantly higher in the exposed group than in the non-exposed group. These observations indicate that occupational exposure to lead exceeding its current threshold limit value and biological exposure index is associated with hematological symptoms and liver and kidney dysfunction.
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http://dx.doi.org/10.1080/10803548.2022.2064090 | DOI Listing |
Int J Occup Saf Ergon
January 2025
Department of Physical Therapy and Rehabilitation, Süleyman Demirel University, Turkey.
. This study aimed to analyze the effects of musculoskeletal disorders (MSDs) on the work performance, musculoskeletal fitness and quality of life of female office workers employed at a university. .
View Article and Find Full Text PDFNeurobiol Sleep Circadian Rhythms
May 2025
Division of Geriatrics, University of São Paulo Medical School, São Paulo, Brazil.
Background: Although sleep duration and sleep-related breathing disorders were associated with dementia previously, few studies examined the association between circadian rhythm association and cognitive status.
Objective: We aimed to investigate the association of rest and activity rhythm with cognitive performance in older people with cognitive complaints and less education.
Methods: Activity rhythm was evaluated with wrist actigraphy in 109 community-dwelling older people with cognitive complaints without diagnosed dementia.
Soc Forces
March 2025
Brown University, Department of Sociology, Providence, RI, 02912, United States.
In the United States, exclusionary public policies generate inequalities within and across labor, financial, and legal status hierarchies, which together undermine immigrant well-being. But can inclusive public policies improve immigrant health? We examine whether and how an immigrant-inclusive federal program, Federally Qualified Health Centers (FQHCs), shaped health care access and use among farmworkers over nearly three decades, paying particular attention to disparities at the intersection of nativity and legal status. Linking historical administrative data on the location and funding of FQHCs with the National Agricultural Workers Survey from 1989-2017, we first document trends in farmworkers' county-level proximity to FQHCs and identify a steady increase in FQHC access among undocumented farmworkers following the Affordable Care Act.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Psychology, Guizhou Normal University, Huaxi University Town, Guiyang, Guizhou, 550025, China.
Background: Previous research paid more attention to the negative effects of the bullying on psychological distress, such as anxiety and depression. However, few studies explored the underlying mechanism between bullying and mathematics achievement. The purpose of this study was to explore the direct and indirect effects of school bullying on mathematics achievement among Chinese eighth grade students.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Instituto de Estudios de Género, Universidad Carlos III de Madrid, Calle Madrid, 126, 28903 Getafe, Spain.
Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (affective computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. In this sense, there are applications related to the safety and well-being of people (sexual assaults, gender-based violence, children and elderly abuse, mental health, etc.) that require even more improvements.
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