Factors associated with poor sleep quality among construction workers in Arba Minch town, Ethiopia: A cross‐sectional study

Autor: Debisa E. Wendimu, Solomon G. Meshesha
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Health Science Reports, Vol 6, Iss 11, Pp n/a-n/a (2023)
Druh dokumentu: article
ISSN: 2398-8835
DOI: 10.1002/hsr2.1715
Popis: Abstract Background and Aims Sleep is critical for human physical and cognitive health. Even though poor sleep quality had a major negative impact on workers' health and safety, there is a scarcity of study that attempts to demonstrate its magnitude and causative factors in labor‐intensive environments. Methods A cross‐sectional study design was employed. A total of 423 individuals were selected using a simple random sampling technique, starting from April 1, 2020 to May 1, 2020. Interviews were administered using the validated and pretested Pittsburgh Sleep Quality Index (PSQI) tool. EpiData version 4.4.3.1 was used for data entry and SPSS version 25 for analysis. To associate factors with poor sleep quality binary logistic regression model was fitted at 95% confidence interval (CI). A p
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