Factors Associated with Poor Quality of Sleep in Construction Workers: A Secondary Data Analysis

Youkyung Kim, Sangeun Lee, Jeeyeon Lim, Soyeon Park, Sojeong Seong, Youngshin Cho and Heejung Kim
Additional contact information
Youkyung Kim: College of Nursing, Yonsei University, Seoul 03722, Korea
Sangeun Lee: College of Nursing, University of Illinois at Chicago, Chicago, IL 60602, USA
Jeeyeon Lim: College of Nursing, Yonsei University, Seoul 03722, Korea
Soyeon Park: Department of Smart City Engineering, Hanyang University, Seoul 15588, Korea
Sojeong Seong: Department of Smart City Engineering, Hanyang University, Seoul 15588, Korea
Youngshin Cho: College of Nursing, Yonsei University, Seoul 03722, Korea
Heejung Kim: College of Nursing, Yonsei University, Seoul 03722, Korea

IJERPH, 2021, vol. 18, issue 5, 1-12

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 2 = 0.317, Nagelkerke R 2 = 0.429), the poor quality of sleep group tended to sleep for a shorter duration before the working day, and not only showed lower sleep latency and higher levels of daytime dysfunction and discomfort in daily life, but also had more chronic disease, depressive symptoms, and higher physical fatigue. Our study findings support that there are many modifiable factors associated with poor sleep and a high rate of poor quality of sleep occurred in construction workers. Thus, clinicians should consider providing diverse options for applying interventions to ensure better sleep, fatigue management, and depression prevention in construction workers after considering their unique characteristics.

Keywords: sleep quality; construction worker; fatigue; depression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/5/2279/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/5/2279/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:5:p:2279-:d:505780

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().