Introduction: In Brazil, social service employees are exposed to poor work conditions, mental strain, and there is a lack of workforce, which contributes for the accumulation of tasks and to work overload.
Objectives: To describe the prevalence of socioeconomic and occupational characteristics, working conditions and self-reported health of social service employees; and verify the relationship between working conditions and the workers self-reported health.
Methods: The cross-sectional study evaluated sociodemographic and occupational characteristics, lifestyle and health information of social service employees; and used the Working Environment Assessment Protocol to assess their working conditions. The data was analyzed descriptively and by the chi-square test.
Results: A total of 41 employees participated in this study, which corresponds to 60.3% of the total number of social service employees in the city. The majority was female (65.9%), aged 40.72 (standard deviation = 14.83), more than 8 years of schooling (82.9%), and occupying higher level functions (psychologists and social workers). Regarding health characteristics, 56.1% of participants practiced physical activities; 70.7% evaluated their own health as good or very good; and 43.9% related musculoskeletal pain. Not having a dining room; and temperature, ventilation, equipment, material resources and furniture were the most reported working conditions as inadequate. There was also an association between episodes of aggression and insecurity with self-perception of health.
Conclusions: The results suggest that there could be a relationship between precarious working conditions and health. Specifically, this study indicated an association between poor working conditions and negative self-perception of health, insecurity and episodes of violence at work.
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http://dx.doi.org/10.47626/1679-4435-2023-1150 | DOI Listing |
Am J Ind Med
January 2025
EHS Department, M&M SBG, L&T Construction (Larsen &Toubro), Kolkata, West Bengal, India.
Background: Globally, construction jobs are associated with serious occupational safety and health (OSH) risks. In large construction projects, managing OSH risks is challenging due to a multitude of factors, and it is important to have sound management strategies and innovative solutions to tackle these ever-evolving OSH risks. Safety surveillance plays a pivotal role in accident prevention in the construction industry.
View Article and Find Full Text PDFJ Physiol Anthropol
January 2025
Faculty of Health Sciences, Hokkaido University, Kita 12, Nishi 5, Kita-Ku, Sapporo, Hokkaido, 060-0812, Japan.
Background: Napping during night shifts is a countermeasure against fatigue and sleepiness, which both impact patient safety. However, there is insufficient evidence on how nurses nap, especially concerning their napping quality. This study explored night-shift napping and its associated factors among nurses, considering napping quantity and quality, to mitigate fatigue and sleepiness.
View Article and Find Full Text PDFSci Rep
January 2025
School of Mechanical & Electronical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
In this study, the effects of six operating conditions on the performance of a 3 kW- ORC (organic Rankine cycle) system were investigated. The results of experiments show that, despite differences in the physical parameters of the three working fluids used, the performance of the ORC system was similar. Further, the cooling water temperature (CWT) was strictly controlled, but the experimental results were affected by the condensation temperature, however the experimental system can maintain stable operation.
View Article and Find Full Text PDFSci Rep
January 2025
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China.
Bearings are critical in mechanical systems, as their health impacts system reliability. Proactive monitoring and diagnosing of bearing faults can prevent significant safety issues. Among various diagnostic methods that analyze bearing vibration signals, deep learning is notably effective.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Infection and HIV Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK
Objectives: To assess the prevalence of UK healthcare workers (HCWs) who reported symptoms of COVID-19 lasting for longer than 5 weeks and examine associated factors with experiencing long COVID in an ethnically diverse cohort.
Design: A cross-sectional study using data from the UK Research study into Ethnicity And COVID-19 Outcomes in HCWs cohort study.
Setting: Data were collected electronically between December 2020 and March 2021.
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