Publications by authors named "Angela Di Donato"

Article Synopsis
  • The study investigates job stress among workers in a high fashion clothing company, focusing on upper limb biomechanical overload caused by repetitive and forceful manual activities.
  • The OCRA Checklist was used to analyze and partly reduce biomechanical risk, with 518 workers surveyed for anxiety, occupational stress, and symptom perception.
  • Findings indicated that while high-risk jobs were not prevalent (except cutting), there was significant job strain linked to low decision latitude, leading to increased perception of symptoms, suggesting a need for further analysis of musculoskeletal overload.
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The immune system, in cooperation with neuroendocrine functions, defends from cancer and infections mainly by the activity of blood natural killer (NK) cells. Blood NK activity may be influenced by the type of employment since work is the central part of life; moreover, job stress is a situation affecting both neuroendocrine and immune systems. This study examines anxiety (by STAI 1 and 2), job strain (by the Karasek's JCQ) and blood NK activity (by an in vitro radio-isotopic method) of 134 male workers.

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Purpose: To study job stress and upper limb biomechanical overload due to repetitive and forceful manual activities in a factory producing high fashion clothing.

Methods: A total of 518 workers (433 women and 85 men) were investigated to determine anxiety, occupational stress (using the Italian version of the Karasek Job Content Questionnaire) and perception of symptoms (using the Italian version of the Somatization scale of Symptom Checklist SCL-90). Biomechanical overload was analyzed using the OCRA Check list.

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Purpose: To examine the immune response to job strain and insecurity of 88 men working in a university, divided according to age and type of employment.

Methods: Anxiety, job strain, job insecurity and subjective symptoms were measured by questionnaires. Blood NK cytotoxic activity was determined by an in vitro method and lymphocyte subpopulations by flow-cytometry analysis.

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