This research analysed the impact of work-related factors (work period, work shift, overtime work, material weight and noise) and non-work-related factors (age, history of disease, marital status, sleep quality, nutritional status and commute time of fatigue in production shift workers. The present study was conducted during the period March 2017-May 2017 with 105 stamping section workers in PT. X. The research was designed as a cross-sectional study that used questionnaires and the checklist individual strength (CIS) for fatigue variables. The data were analysed via the chi-square method to determine any correlations between fatigue and the independent variables, and multivariate logistic regression was used to determine which variables cause or contribute to worker fatigue. The research demonstrated that 52.4 percent of the evaluated workers experienced fatigue. In addition, the study revealed no significant relationships between work-related factors and fatigue. In contrast, the study concluded that two non-work-related factors, sleep quality and commute time, do contribute to fatigue. The factor that most affected the occurrence of fatigue was the workers' sleep quality (pÂ = 0.002), OR = 3.0917, indicating that workers who experience poor sleep quality are three times more at risk of fatigue than workers with good sleep quality (CI 95%: 1.617 - 9.179).
|Publication status||Published - 2018|
|Event||International Conference of Occupational Health and Safety (ICOHS 2017) - ID, Bali, Indonesia|
Duration: 1 Jan 2018 → …
|Conference||International Conference of Occupational Health and Safety (ICOHS 2017)|
|Period||1/01/18 → …|
- Fatigue, sleep quality, commute time, checklist individual strength (CIS), questionnaire, production worker.