Purpose: The aim of this study was to examine the prevalence of depressive symptoms and related factors among workers in care institutions for older persons in Japan. In addition, we sought to identify the relationships between high (i.e., ≥ 16) Center for epidemiologic studies depression scale (CES-D) scores, sociodemographic characteristics, and occupational variables.
Methods: Care institutions for older persons in Akita prefecture were randomly selected to participate in the survey. Participants were recruited by their employers and were invited to complete the survey. In total, 197 care institutions for older persons in Akita prefecture agreed to participate in the study. Of the 2727 workers who were invited to participate, 2404 returned complete questionnaires. The CES-D was used to determine the prevalence and severity of depressive symptoms.
Results: Data for 2088 employees showed that 44.3% had high CES-D scores. Sociodemographic characteristics and occupational factors associated with a high risk of depression included young age, short sleep duration on weeknights, and working for more than 45 h per week.
Conclusions: To prevent depression, care workers should be aware of the effects of long working hours and lack of sleep. In addition, special attention should be paid to young workers as a high-risk group.
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http://dx.doi.org/10.1007/s41999-019-00241-w | DOI Listing |
Nurs Res Pract
January 2025
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Unlabelled: Artificial intelligence (AI) is constantly improving the quality of medical procedures. Despite the application of AI in the healthcare industry, there are conflicting opinions among professionals, and limited research on its practical application in Saudi Arabia was conducted.
Aim: To assess the nurses' knowledge regarding the application of AI in practice at one of the Ministry of Health hospitals in Saudi Arabia.
Int J Chron Obstruct Pulmon Dis
January 2025
Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany.
Background: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Methods: In this single centre study, non-consecutive COPD patients were prospectively recruited for comparing their speech characteristics during and after an acute COPD exacerbation.
Int J Chron Obstruct Pulmon Dis
January 2025
School of Translational Medicine, Monash University, Melbourne, VIC, Australia.
Purpose: Oral corticosteroids (OCS) are recommended for the treatment of exacerbations in people with COPD; however, high cumulative lifetime doses (≥1000mg prednisolone-equivalent) are associated with adverse health effects. This issue is well defined in asthma but is less well understood in COPD. The aim of this study was to examine cumulative OCS dispensed to people with COPD over 12 months.
View Article and Find Full Text PDFEClinicalMedicine
February 2025
Institute of Laboratory Medicine and Pathobiochemistry, Molecular Diagnostics, Philipps University Marburg, Marburg, Germany.
Unlabelled: Non-communicable diseases (NCDs) characterised by type 2 inflammation, including asthma, allergic rhinitis, chronic rhinosinusitis with nasal polyps, atopic dermatitis, food allergies and eosinophilic esophagitis, are increasing in prevalence worldwide. Currently, there is a major paradigm shift in the management of these diseases, towards the concept of disease modification and the treatment goal remission, regardless of severity and age. Remission as a treatment goal in chronic inflammatory NCDs was first introduced in rheumatoid arthritis, and then adopted in other non-type 2 inflammatory diseases.
View Article and Find Full Text PDFAim: After the Fukushima nuclear accident in 2011, several municipal offices were forced to evacuate, and municipal public employees (MPEs) had to perform many administrative tasks related to the disaster. Typhoons and the COVID-19 pandemic also affected the area afterwards. We conducted a survey for MPEs to investigate the mental health impacts and related factors.
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