Sleep quality among industrial workers: related factors and impact

Abstract

Purpose The purpose of this paper is to explore the prevalence and determinants of poor sleep quality among industrial workers in Thailand. Additionally, the authors assess the risk of work-related injuries associated with poor sleep quality. Design/methodology/approach A descriptive correlational research was implemented. A total of 472 workers from the northern region of Thailand contributed to this study. Sleep quality was assessed by the Thai version of the Pittsburgh Sleep Quality Index (Thai-PSQI). The score of more than five indicated poor sleep quality. Participants completed self-administered demographic, work characteristics and work-related injury questionnaires. Data were analyzed by applying descriptive and logistic regression statistical techniques. Findings More than one-third of the workers had reported poor sleep quality. Results from multivariable logistic regression analysis yielded male gender (OR = 2.74, 95% CI 1.46–5.17), alcohol drinking (OR=2.1, 95% CI 1.24–3.35), pain (OR=2.05, 95% CI 1.32–3.17) and rotating shift work (OR=1.94, 95% CI 1.23–3.05) increased the risk of poor sleep quality. Furthermore, poor sleep quality was statistically significantly associated with the risk of work-related injuries (OR = 3.98, 95% CI = 2.39–6.66). Originality/value Findings of this study indicate that the prevalence of poor sleep quality is high among industrial workers. Work characteristics and health behaviors were associated with poor sleep quality which increases the risk of work-related injuries. Modification of work environment and personal life style choices can improve quality of sleep among workers and consequently lower incidence of work-related injuries.

“My young life, finished already?”: A qualitative study of embedded social stressors and their effects on mental health of low-wage migrant workers in Singapore

“…Overcrowded living conditions and impacted sleep quality contributed to chronic fatigue. Poor sleep quality has been associated with higher risks of workplace injuries, in particular, falls from heights, fractures and dislocations among migrant workers (54)(55)(56)(57). For instance, in Singapore, a total of 11 fatal falls among migrant workers were reported in 2020 with the construction industry accounting for most fatalities despite safety measures, raising alarm over the workplace safety of migrant workers (58).…”

“…For instance, in Singapore, a total of 11 fatal falls among migrant workers were reported in 2020 with the construction industry accounting for most fatalities despite safety measures, raising alarm over the workplace safety of migrant workers (58). Poor sleep quality has been linked to depressive symptoms and psychological distress among migrant workers as well (55,57,59). In addition to affecting sleep quality, overcrowded living environments contributed to the rapid spread of COVID-19 in purpose-built dormitories in Singapore, resulting in migrant workers accounting for more than 90% of the total COVID-19 caseload in 2021 (60).…”

Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia

“…The sample size was determined using a single population proportion formula. By taking the 33.7% prevalence of poor sleep quality among industrial workers [ 29 ], with the following assumptions: level of significance () = 5% (at a confidence level of 95%), marginal error d = 5%, and p = 0.337, the z value is 1.96 (n = sample size, p = proportion, and d = marginal error). …”

“…While poor sleep quality is considered a public health concern, it typically remains unnoticed, is underreported, and has significant economic consequences [ 7 , 14 ]. Although the manufacturing industry has been identified as a workplace associated with a high risk of poor sleep quality [ 29 ], little research has been conducted to quantify the prevalence and risk factors of poor sleep quality among the textile and garment population in low and middle-income countries, including Ethiopia [ 30 , 31 ]. As a result, this study was conducted to assess the prevalence and associated determinants of sleep quality among the garment and textile sectors in Addis Ababa, Ethiopia.…”

Prevalence and associated factors of poor sleep quality among industrial workers in Addis Ababa, Ethiopia: findings from a cross-sectional study

“…Workers with poor sleep quality experience various physical and mental health problems, including abnormal vital signs, mood disorders, poor quality of life, frequent injuries at work, work-related errors and reduced overall work performance. Poor sleep quality also increases the overall rate of premature mortality 3–7. The WHO has classified poor sleep quality as a public health issue that exacerbates the risk of disease and death 8.…”