Objectives: Maintenance and promotion of employees' work ability is one of the important social goals. This study is aimed at investigating psychometric properties of the Persian translation of work ability index (WAI).
Methods: A total number of 750 employees were randomly selected from car manufacturing and petrochemical industries. Reliability of the questionnaire was determined using test-retest and Cronbach alpha coefficient. Factor analysis was used for assessing construct validity. To determine discriminant validity, the mean score of total WAI was compared between workers with high and low sick leave rate.
Results: Intraclass correlation coefficients for its seven dimensions were estimated higher than 0.7. The questionnaire showed a good internal consistency, Cronbach α = 0.78. Factor analysis showed a three-factor structure model for Persian translation of WAI including: mental resources, self-perceived work ability, and presence of disease and health-related limitation. A good level of discriminant validity was observed for all WAI dimensions except the item "work ability regarding work demands."
Discussion: The study findings indicate that the Persian version of WAI questionnaire has good psychometric properties of internal consistency and test-retest showed a good reliability of WAI questionnaire, which is in line with those found in previous studies. Therefore, this tool can be considered as a reliable instrument for assessing work ability.
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http://dx.doi.org/10.1002/1348-9585.12028 | DOI Listing |
Sci Rep
December 2024
Department of Pathology, The Tumor Immuno-Pathology Laboratory, Erasmus University Medical Center, Wytemaweg 80, 3000 DR, Rotterdam, The Netherlands.
In previous work we discovered that T lymphocytes play a prominent role in the rise of brain metastases of ER-negative breast cancers. In the present study we explored how T lymphocytes promote breast cancer cell penetration through the blood brain barrier (BBB). An in vitro BBB model was employed to study the effects of T lymphocytes on BBB trespassing capacity of three different breast carcinoma cell lines.
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December 2024
School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Autonomous vehicles, often known as self-driving cars, have emerged as a disruptive technology with the promise of safer, more efficient, and convenient transportation. The existing works provide achievable results but lack effective solutions, as accumulation on roads can obscure lane markings and traffic signs, making it difficult for the self-driving car to navigate safely. Heavy rain, snow, fog, or dust storms can severely limit the car's sensors' ability to detect obstacles, pedestrians, and other vehicles, which pose potential safety risks.
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December 2024
Sys2Diag, UMR9005 CNRS/ALCEN, Cap Gamma, Parc Euromédecine, 1682 Rue de la Valsière, CS 40182, 34184, Montpellier Cedex 4, France.
Extracellular vesicles (EVs), crucial mediators in cell-to-cell communication, are implicated in both homeostatic and pathological processes. Their detectability in easily accessible peripheral fluids like saliva positions them as promising candidates for non-invasive biomarker discovery. However, the lack of standardized methods for salivary EVs isolation greatly limits our ability to study them.
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December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFBMC Complement Med Ther
December 2024
Department of Pharmaceutical Biotechnology, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Background: A precise observation is that the cervix's solid tumors possess hypoxic regions where the oxygen concentration drops below 1.5%. Hypoxia negatively impacts the host's immune system and significantly diminishes the effectiveness of several treatments, including radiotherapy and chemotherapy.
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