Fatigue and poor sleep are associated with driving risk among Korean occupational drivers

Kwon, Soo-Young; Kim, Gwang Suk; Cho, Eunhee

doi:10.1016/j.jth.2019.100572

Cited by 45 publications

(32 citation statements)

References 42 publications

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“…The good quality of sleep group had PSQI ≤ 5, while the poor quality of sleep group had PSQI > 5 [ 22 , 23 , 24 ]. The Cronbach’s α coefficient was reported to be 0.83 in the original study [ 22 ], 0.80 in a study on Korean occupational drivers [ 25 ], and 0.65 in our study.…”

Section: Methodssupporting

confidence: 53%

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

Kim

Lee

Lim

et al. 2021

IJERPH

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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.

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Section: Methodssupporting

confidence: 53%

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

Kim

Lee

Lim

et al. 2021

IJERPH

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“…Given that Lyft and Uber have recently become publicly owned companies, one of our reviewers pondered whether share-holders have any concerns over the importance of drivers' health and work conditions? Fatigue and poor sleep also affect professional drivers' health adversely, with poor sleep being associated with a higher incidence of a crash in the last year (Kwon et al, 2019). Kwon and colleagues also found several factors related to risky driving by professional drivers.…”

Section: The Health Of Driversmentioning

confidence: 99%

Cycling, driving, and injuries

Mindell¹

2019

Journal of Transport & Health

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Broadening the range of people who cycleIn the 1960s, Dutch cities were increasingly car-focussed. Cycle trip share in Amsterdam fell from 80% in 1950s to 20% in the 1970s (van der Zee, 2015. Child traffic deaths were the catalyst to reduce car use and promote cycling (Wardlaw, 2014). Road travel deaths peaked in 1971 at 3,300, of whom more than 400 were children (van der Zee, 2015). Campaigners pioneered street closure days to allow children to play in the streets. Eventually, the 'woonerf' [homezone] was developed, followed by car-free Sundays. Nowadays, there are extensive networks of segregated cycle paths; more than a quarter of trips in the Netherlands are cycled, and almost two-fifths of trips in Amsterdam. However, in other countries, such as New Zealand, opposition to cycle lanes can be very vocal, particularly from local businesses (Field et al., 2018). We know that cyclists, like pedestrians, visit local businesses more frequently and, over a period of time, spend more money locally than drivers do (Mindell, 2015). A recent study has shown that increased cycling is associated with new businesses opening (Klemmer et al., 2018).

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“…It is thus necessary to adjust the workload and improve the safety of any working environment in a timely manner. Kwon et al 12 explored the relationship between the fatigue driving risk index and sleep of Korean professional drivers via logistic regression analyses. The results showed that working hours exceeding 12 hours per day and excessive daytime sleepiness are significantly associated with continued dangerous driving.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding the methods of discussing work safety and health issues, most research has used regression analysis and statistical sampling analysis, employing static models. 8 , 10 , 12 , 20 Past research has lacked dynamic time analysis, failed to understand the sustainable development of society and economy, and did not consider welfare factors and environmental pollution issues that affect the overall society. Therefore, this study proposes a modified undesirable two-stage dynamic exogenous DEA model to explore the economic, social, medical, and environmental efficiencies of 30 provinces in China.…”

Section: Introductionmentioning

confidence: 99%

Economic, Social, Medical, Work Injury, and Environmental Efficiency Assessments

Fang

Chiu

Lin

et al. 2020

INQUIRY

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Improving the management efficiency of industrial accidents is significant for stabilizing social order and improving production efficiency. Although many previous studies have discussed the impact of work injury on different occupations from the work safety and health perspectives, few have jointly discussed economic, social, medical, and environmental pollution issues, and those that do mostly employ static models, failing to take into account welfare factors and environmental pollution issues that affect society. Therefore, in order to understand the dynamic evolution trend between social and economic activities and environmental issues, this study utilizes a modified undesirable two-stage dynamic exogenous data envelopment analysis (DEA) model to explore the economic, social, medical, and environmental efficiencies of 30 provinces in China to fill the gap in the literature. In terms of work injury insurance expenditure efficiency, the results show that the air quality index (AQI) impacts the ranking of China’s 30 provincial regions, with Fujian, Ningxia, Qinghai, Shandong, Tianjin, and Xinjiang being greatly affected. AQI significantly influences overall factor efficiency, rescue invalid deaths, and the work-related injuries in the various regions. AQI also has a relatively small effect on the efficiency of work injury insurance benefits. Based on this, we offer suggestions for policy makers to evaluate the social benefits of environmental governance and the efficiency of human capital.

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Fatigue and poor sleep are associated with driving risk among Korean occupational drivers

Cited by 45 publications

References 42 publications

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

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

Cycling, driving, and injuries

Economic, Social, Medical, Work Injury, and Environmental Efficiency Assessments

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