Factors associated with sleep quality of Thai intercity bus          drivers

Chaiard, Jindarat; Deeluea, Jirawan; Suksatit, Benjamas; Songkham, Wanpen

doi:10.2486/indhealth.2018-0168

Cited by 16 publications

(13 citation statements)

References 36 publications

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“…[25] A growing body of literature has evaluated the potential factors correlated with poor sleep quality among drivers, including fatigue, shift work, smoking, history of pulmonary disease, occupational stress, and driving times in a day. [23,[26][27][28][29]. In addition to forenamed factors, our analysis has also revealed a signi cant correlation between poor sleep quality and driving at night, which could be due to the interference of night shifts with circadian rhythm and following hormonal imbalances.…”

Section: Discussionmentioning

confidence: 92%

“…[22] Also, the same high prevalence of poor sleep quality has been reported in a similar study in the population of Thailand intercity bus drivers. [23] Reviewing seven sub-items of poor sleep quality, each of the components shows various rates of prevalence among drivers. In the literature, Sleep duration, in comparison to sleep quality, was better associated with accidents and accident risk [24].…”

Section: Discussionmentioning

confidence: 99%

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The Relationship between Adult Attention-Deficit/Hyperactivity Disorder and anxiety, Depression, Stress and Sleep in Professional Drivers in southern Iran

Kamali¹,

Khatami²,

Estedlal³

et al. 2020

Preprint

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Background: Adult Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the neurodevelopmental disorders which is characterized by low focused concentration, distractibility, reduced self-regulation, and hyperactivity. They experience high rates of sleep and mental problems. Accordingly, the aim of this study was to investigate anxiety, depression, stress, and sleep among professional adult drivers with ADHD in an Iranian sample.Method: in this cross-sectional study, 547 professional adults drivers with ADHD that affirm their disorders by Conner adult ADHD rating scale (CAARS) complete survey that provides demographic data, Pittsburgh Sleep Quality Index (PSQI) for assessing quality of sleep, and DASS 21 survey to evaluate Depression, Anxiety and Stress Scale.Results: professional adult drivers with ADHD reveals a significant association of anxiety, depression, stress with poor sleep quality. Among these drivers, Poor quality of sleep was substantially associated with driving at night (P=0.039), but no substantial correlation was found with age, marital status, education, a model of car, and daytime driving (P>0.05). Conclusion: Given the significant correlation of anxiety, depression, stress, and ADHD with low quality of sleep, ADHD drivers may be a potential preventive measure that contributes to the identification of vulnerable drivers in terms of psychological state and improvement of their quality of sleep by setting acceptable rules for juggling working hours and supporting acts.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

The Relationship between Adult Attention-Deficit/Hyperactivity Disorder and anxiety, Depression, Stress and Sleep in Professional Drivers in southern Iran

Kamali¹,

Khatami²,

Estedlal³

et al. 2020

Preprint

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“…This leads to dangerous situations for the drivers themselves as well as for other drivers, with high mortality rates and damage to infrastructure (Lyznicki et al, 1998). Some studies have found that bus drivers experience poor sleep quality, which is of great concern for public safety and passengers alike (Chaiard et al, 2019;Diez et al, 2011;Sunwoo et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Predictive variables for sleep quality in professional drivers

et al. 2021

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Antecedentes: Los conductores profesionales suelen padecer problemas para dormir o descansar correctamente. Esto puede deberse a diversos factores tanto personales como específicos de las condiciones laborales. En el presente trabajo nos hemos planteado desarrollar un modelo predictivo sobre la calidad del sueño en conductores profesionales utilizando los indicadores siguientes: Edad, Género, Confort del asiento, suspensión del asiento, Soporte lumbar ajustable del asiento del conductor, Horas de conducción, Problemas musculoesqueléticos, Drivers Stress, Irritación, Personalidad resistente, Burnout, conductas de seguridad e Impulsividad. Método: Los participantes han sido 369 conductores profesionales, de distintos sectores del transporte, obtenidos mediante un muestreo no probabilístico. Se han utilizado el programa SPSS 25.0. Resultados: Se determina la capacidad predictiva de algunas variables que afectan a los conductores sobre la calidad del sueño. Conclusiones: La calidad del sueño se puede predecir a través de determinadas variables, siendo la mejor predictora Exhaustion (Burnout). Esta investigación contribuye a un mayor conocimiento de la calidad del sueño y a la mejora de la salud de los conductores profesionales. Background: Professional drivers often have problems sleeping or resting properly. This may be due to various factors, both personal and specific to their working conditions. In this study, we set out to develop a predictive model for the quality of sleep in professional drivers using the following indicators: Age, Gender, Seat Comfort, Seat Suspension, Adjustable Lumbar Support of the Driver’s Seat, Driving Hours, Musculoskeletal Problems, Driver Stress, Irritation, Resistant Personality, Burnout, Safety Behaviors and Impulsivity. Method: The participants were 369 professional drivers from different transport sectors, obtained through non-probabilistic sampling. The SPSS 25.0 program was used for statistical analysis. Results: The predictive capacity of certain variables that affect drivers’ sleep quality is determined. Conclusions: Sleep quality can be predicted by means of certain variables, the best predictor of which is Exhaustion (Burnout). This research contributes to the body of knowledge on sleep quality and on improving the health of professional drivers.

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“…Bus drivers have self-reported that some of the main contributing factors to bus driver sleepiness are unrealistic scheduling, tight route schedules, turn-around and shift irregularity, and extended shift cycles (Biggs, Dingsdag & Stenson, 2006. Additionally, questionnaire data has revealed that sleepiness is a particular problem for those working night shifts or rotating shifts (Chaiard, Deeluea, Suksatit, & Songkham, 2019) and those working split shifts (Ihlström, Kecklund & Anund, 2017;Sando, Mtoi, & Moses, 2010).…”

Section: Introductionmentioning

confidence: 99%