Objective: To show the prevalence of precarious employment in Catalonia (Spain) for the first time and its association with mental and self-rated health, measured with a multidimensional scale.
Method: A cross-sectional study was conducted using data from the II Catalan Working Conditions Survey (2010) with a subsample of employed workers with a contract. The prevalence of precarious employment using a multidimensional scale and its association with health was calculated using multivariate log-binomial regression stratified by gender.
Results: The prevalence of precarious employment in Catalonia was high (42.6%). We found higher precariousness in women, youth, immigrants, and manual and less educated workers. There was a positive gradient in the association between precarious employment and poor health.
Conclusions: Precarious employment is associated with poor health in the working population. Working conditions surveys should include questions on precarious employment and health indicators, which would allow monitoring and subsequent analyses of health inequalities.
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http://dx.doi.org/10.1016/j.gaceta.2015.04.002 | DOI Listing |
Front Public Health
December 2024
Asian Demographic Research Institute, School of Sociology and Political Sciences, Shanghai University, Shanghai, China.
Background: The rising prevalence of depression in China, coupled with a tightening job market, highlights concern for the workforce's mental health. Although socioeconomic inequalities in depression have been well documented in high-income countries, the association between socioeconomic status (SES) and depression, along with its work-related mediators, has not been sufficiently studied in China.
Methods: The study participants are 6,536 non-agriculturally employed working adults from the 2020 China Family Panel Studies (CFPS).
Nurs Rep
December 2024
Postgraduate Nursing Program, Faculty of Medicine of São José do Rio Preto, Av. Brigadeiro Faria Lima, 5416, São José do Rio Preto 15090-000, Brazil.
Background And Aims: The COVID-19 pandemic significantly impacted the mental health of healthcare professionals, especially those working in Psychosocial Care Centers (CAPS), which are crucial services in the Brazilian mental health system. This study aimed to investigate the association between job satisfaction, workload, and psychological distress among CAPS professionals during the pandemic.
Methods: A cross-sectional study was conducted with 53 professionals from seven CAPS.
Nurs Rep
December 2024
Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway.
Aim: To explore the challenges and strategies among new and experienced nursing leaders in mental healthcare; furthermore, to identify factors that support or hinder their leadership roles.
Background: Strong nursing leadership is crucial for the quality of patient care and is associated with higher job security and better patient outcomes. Understanding what factors contribute to effective leadership is essential for the development of future leaders.
Occup Environ Med
December 2024
Unit of Occupational Medicine, Karolinska Institutet, Stockholm, Sweden.
Objectives: To investigate the effect of precarious employment (PE) on the risk of diagnosed chronic musculoskeletal disorders (MSDs) among Swedish workers in occupations with strenuous working conditions.
Methods: This nationwide register-based cohort study included workers registered as living in Sweden in 2005, aged 21-60 at the 2010 baseline. Three samples were included: workers with high biomechanical workload (n=680 841), repetitive work (n=659 422) or low job control (n=703 645).
Diabetes Res Clin Pract
December 2024
Population Health Research Institute, St George's School of Health and Medical Sciences, City St George's, University of London, London, UK.
Aims: Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retinopathy as accurately as human graders, but it is not yet licensed in the NHS Diabetic Eye Screening Programme (DESP) in England. This study aims to assess perceptions of People Living with Diabetes (PLD) and Healthcare Practitioners (HCP) towards AI's introduction in DESP.
Methods: Two online surveys were co-developed with PLD and HCP from a diverse DESP in North East London.
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