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

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 R2 = 0.317, Nagelkerke R2 = 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.

An assessment of prevalence of poor sleep quality among construction workers in Southern India

“…, 2019). Kim et al. (2021) identified the following factors as influencing sleep quality among workers: age, gender, marital status, living arrangement, level of education, socio-economic status, Body Mass Index (BMI), smoking, alcohol consumption, regular exercise, self-rated health, number of chronic diseases, work type, working hours per day as well as work intensity.…”

Development of an integrated fatigue measurement system for construction workers: a feasibility study

“…However, several methodological issues were identified in this study, which provide valuable information for the further development of fatigue measurement systems for construction workers. Sleep is an important factor that affects workers’ fatigue [ 47 ], but collecting sleep data using a smartwatch causes battery discharge problems. In this study, 27.5% of the participants did not wear smartwatches while sleeping, and they reported the inconvenience of wearing a smartwatch while sleeping, followed by the lack of battery charging time.…”

Older Male Construction Workers and Sustainability: Work-Related Risk Factors and Health Problems

“…Previous findings indicate that older workers are vulnerable to musculoskeletal pain [8,10,16], and are prone to fatigue, sleep-related problems, and depression due to job insecurity and lack of social support [7,12,17,29]. If the occurrence characteristics of musculoskeletal disorders and depression in elderly workers differ according to age, it is important to understand the characteristics of the occurrence of the elderly in order to establish customized preventive measures.…”

“…They are often faced with problems such as changing workplaces, subcontracting, turnover, and short-term employment [4,6]. These physically and psychologically hazardous situations influence many aspects of occupational injuries or health-related problems [12][13][14][15][16][17][18][19][20][21][22]. Thus, they are highly likely to experience fatigue, sleep-related problem, or depression [12,13,17,19,21,22].…”