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

Author

Listed:
  • 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
    Mo-Im Kim Nursing Research Institute, Yonsei University, Seoul 03722, Korea)

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.

Suggested Citation

  • Youkyung Kim & Sangeun Lee & Jeeyeon Lim & Soyeon Park & Sojeong Seong & Youngshin Cho & Heejung Kim, 2021. "Factors Associated with Poor Quality of Sleep in Construction Workers: A Secondary Data Analysis," IJERPH, MDPI, vol. 18(5), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2279-:d:505780
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    References listed on IDEAS

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    1. Mohammed Al-Bouwarthan & Margaret M. Quinn & David Kriebel & David H. Wegman, 2020. "Risk of Kidney Injury among Construction Workers Exposed to Heat Stress: A Longitudinal Study from Saudi Arabia," IJERPH, MDPI, vol. 17(11), pages 1-16, May.
    2. María Teresa Rodríguez-González-Moro & José Miguel Rodríguez-González-Moro & José Miguel Rivera-Caravaca & Tomás Vera-Catalán & Agustín Javier Simonelli-Muñoz & Juana Inés Gallego-Gómez, 2020. "Work Shift and Circadian Rhythm as Risk Factors for Poor Sleep Quality in Public Workers from Murcia (Spain)," IJERPH, MDPI, vol. 17(16), pages 1-8, August.
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    4. Sangeun Lee & Sojeong Seong & Soyeon Park & Jeeyeon Lim & Soyun Hong & Youngshin Cho & Heejung Kim, 2021. "Korean Version of the Swedish Occupational Fatigue Inventory among Construction Workers: Cultural Adaptation and Psychometric Evaluation," IJERPH, MDPI, vol. 18(8), pages 1-12, April.
    5. Yuan-yuan Ye & Yuan-feng Zhang & Jia Chen & Juan Liu & Xun-jun Li & Ya-zhen Liu & Ying Lang & Ling Lin & Xin-Ju Yang & Xiao-Jiang Jiang, 2015. "Internet-Based Cognitive Behavioral Therapy for Insomnia (ICBT-i) Improves Comorbid Anxiety and Depression—A Meta-Analysis of Randomized Controlled Trials," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-11, November.
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