ArticleInternational journal of environmental research and public health2021
Factors Associated with Poor Quality of Sleep in Construction Workers: A Secondary Data Analysis.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Occupational heat risk perceptions and behavioral adaptation strategies among construction and welding workers in Bangladesh.Scientific reports · 2026Article
- Article
- Factors associated with poor sleep quality among construction workers in Arba Minch town, Ethiopia: A cross-sectional study.Health science reports · 2023Article
- Article
- Prevalence and factors associated with depression, anxiety and stress symptoms among construction workers in Nepal.PloS one · 2023Article
- Development of an integrated fatigue measurement system for construction workers: a feasibility study.BMC public health · 2022Article
- Working hours impact on the sleep quality and oral health status among migrant construction workers in Chennai.Journal of family medicine and primary care · 2022Article
- Modelling the Relationship between the Nature of Work Factors and Driving Performance Mediating by Role of Fatigue.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
This study aimed to explore factors associated with poor quality of sleep in construction workers. This study was cross-sectional, correlational in design and used secondary data from fatigue instrument development study. We analyzed the data from 206 participants aged over 19 years who worked at construction sites for more than 6 months. We used multivariate binary logistic regression to identify the factors associated with poor quality of sleep. We classified the two sleep quality groups based on the Pittsburgh Sleep Quality Index (PSQI) score, and almost 63% of them were classified as the poor quality of sleep group. Based on multivariate binary logistic regression (Cox and Snell R
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