Purpose: Noise, a common physical hazard in many workplaces, may affect different aspects of human cognitive function. In this study, the effect of exposure to noise on some aspects of cognitive function was assessed in industrial workers.
Materials And Methods: This was a cross-sectional study on 84 individuals exposed to noise level higher than 85 dBA in a metal industry (noise group), comparing a group of workers from the same industry (n = 80) with exposure to noise level lower than 80 dBA (control group). The individuals in the noise group were classified as well according to noise intensity into: high exposure (90 dBA and higher) and low exposure (between 85 and 90 dBA). Selective attention score, divided attention score, selective response time, divided response time, and memory scale were measured before and after work shift. Data were analyzed by SPSS (Ver. 16) using Kolmogorov-Smirnov test, paired t test, Student's t test and Mann-Whitney U test were used to compare mean difference of the variables between two groups. p < 0.05 was considered as significant.
Results: All measured cognitive functions were significantly changed after work shift in the noise group and the difference was statistically significant between noise and control group. Exposure to higher noise intensity caused more change in cognitive function.
Conclusion: Exposure to noise higher than 85 dBA affects some aspects of cognitive function (reaction time, attention and memory).
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00420-018-1361-0 | DOI Listing |
JMIR Form Res
January 2025
College of Nursing, The Ohio State University, Columbus, OH, United States.
Background: Researchers have encountered challenges in recruiting unpaid caregivers of people living with Alzheimer disease and related dementias for intervention studies. However, little is known about the reasons for nonparticipation in in-home smart health interventions in community-based settings.
Objective: This study aimed to (1) assess recruitment rates in a smart health technology intervention for caregivers of people living with Alzheimer disease and related dementias and reasons for nonparticipation among them and (2) discuss lessons learned from recruitment challenges and strategies to improve recruitment.
Water Res
January 2025
College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China.
Monitoring the quantity and quality of karst springs is essential for groundwater resource management. However, it is challenging to robustly forecast the karst spring discharge and pollutant concentration due to the high complexity and heterogeneity of karst aquifers. Few researchers have addressed the long-term prediction of hourly spring quantity and quality, which is crucial for emergency management.
View Article and Find Full Text PDFSci Data
January 2025
Department of Earth and Environmental Engineering, Columbia University, New York, USA.
The Gravity Recovery and Climate Experiment (GRACE) and its follow-on (GRACE-FO) missions have provided estimates of Terrestrial Water Storage Anomalies (TWSA) since 2002, enabling the monitoring of global hydrological changes. However, temporal gaps within these datasets and the lack of TWSA observations prior to 2002 limit our understanding of long-term freshwater variability. In this study, we develop GRAiCE, a set of four global monthly TWSA reconstructions from 1984 to 2021 at 0.
View Article and Find Full Text PDFInt Psychogeriatr
January 2025
Department of Psychology, Lehman College/City University of New York, Bronx, NY 10468, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address:
Objectives: Depression is a chronic disorder that significantly affects functional decline in older adults, especially those with type 2 diabetes (T2D). Ethnic groups may experience different depression risks and severities, yet the effect of ethnicity on depression trajectories and specific dimensions in older adults with T2D remains largely unexamined. We examined the longitudinal associations of ethnicity with depression and its specific dimensions over time in older Ashkenazi and non-Ashkenazi Jews with T2D.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
February 2025
Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA. Electronic address:
Background: Protein abundance levels, sensitive to both physiological changes and external interventions, are useful for assessing the Alzheimer's disease (AD) risk and treatment efficacy. However, identifying proteomic prognostic markers for AD is challenging by their high dimensionality and inherent correlations.
Methods: Our study analyzed 1128 plasma proteins, measured by the SOMAscan platform, from 858 participants 55 years and older (mean age 63 years, 52.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!