Selected article for: "hierarchical analysis and linear regression"

Author: Tsantaki, Efthymia; Smyrnakis, Emmanouil; Constantinidis, Theodoros C; Benos, Alexis
Title: Indoor air quality and sick building syndrome in a university setting: a case study in Greece.
  • Cord-id: vkzgcqq9
  • Document date: 2020_7_7
  • ID: vkzgcqq9
    Snippet: The perceived Indoor Air Quality (IAQ), the prevalence of Sick Building Syndrome (SBS) symptoms and its contributing risk factors were assessed in a university during the period of the economic crisis in Greece. Data was collected from 613 employees via questionnaires. Hierarchical linear regression analysis was performed. The most prevalent perceived IAQ complaints were 'Dust and dirt' (63.2%), 'Room temperature too low' (24.9%) and 'Varying room temperature' (24.4%). The most frequently report
    Document: The perceived Indoor Air Quality (IAQ), the prevalence of Sick Building Syndrome (SBS) symptoms and its contributing risk factors were assessed in a university during the period of the economic crisis in Greece. Data was collected from 613 employees via questionnaires. Hierarchical linear regression analysis was performed. The most prevalent perceived IAQ complaints were 'Dust and dirt' (63.2%), 'Room temperature too low' (24.9%) and 'Varying room temperature' (24.4%). The most frequently reported SBS symptom was 'Fatigue' (34.1%). The prevalence of General, Mucosal and Dermal symptoms was 40.8%, 19.8% and 8.1%, respectively. Several contributing risk factors were identified, such as IAQ Discomfort Scale, atopy, sleep problems, female, exposure to biological and chemical agents, PC-use, Psychosocial Work Scale and job satisfaction. Poor perceived IAQ and high prevalence of SBS symptoms were reported from the university staff in a temperate climate country. SBS seemed to be multifactorial.

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