Impact of overnight traffic noise on sleep quality, sleepiness, and vigilant attention in long-haul truck drivers: Results of a pilot study

Popp, Roland; Maier, Stefanie; Rothe, Siegfried; Zulley, Jürgen; Crönlein, Tatjana; Wetter, Thomas C.; Rupprecht, Rainer; Hajak, Göran

doi:10.4103/1463-1741.169698

Cited by 13 publications

(10 citation statements)

References 38 publications

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“…Most of the drivers had the opportunity to sleep at home, which is not possible for all long-haul truck drivers. It has been reported that sleeping, e.g., in the truck sleeper cabs or at motorway rest areas may result in disrupted sleep (Popp et al 2015). Second, the accumulation of sleep loss across the study period was operationalized as the sum of daily sleep compared to self-reported sleep need.…”

Section: Discussionmentioning

confidence: 99%

Accumulation of sleep loss among shift-working truck drivers

Onninen

Pylkkönen

Tolvanen

et al. 2021

Chronobiology International

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Sleep loss is known to contribute to road traffic accidents. Professional drivers are vulnerable to curtailment of sleep due to long driving bouts and shift work. To fill in the gap in the literature related to the build-up of sleep loss in irregular shift systems, we recorded the sleep and working hours of 47 shift-working long-haul truck drivers during a twoweek period. Sleep (time in bed) was verified by actigraphy and sleep logs. Sleepiness was measured using the Karolinska Sleepiness Scale (KSS). Individual sleep need was based on self-assessments. We examined the accumulated sleep versus self-reported sleep need across the study period, using midnights as points of observation, and the accumulated sleep loss within 72h prior to shift end (sleep versus need, SVN72). Across the study period, the drivers' sleep was close to their self-reported sleep need, but 45% of the drivers showed accumulated sleep loss of >6h at least once. SVN72 averaged -1.5h and was 2.87h shorter in connection with morning shifts compared to day or evening shifts. Night shifts showed no such difference. During days off, sleep exceeded sleep need by 1.13h and was not dependent on the type of preceding work shift. SVN72showed small-to-medium negative associations with on-duty KSS even after accounting for sleep within the 24h prior to shift end. Our results show that long-haul truck drivers are exposed to severe levels of accumulated sleep loss while working irregular shifts, but they can catch up on their lost sleep especially during days off.

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Section: Discussionmentioning

confidence: 99%

Accumulation of sleep loss among shift-working truck drivers

Onninen

Pylkkönen

Tolvanen

et al. 2021

Chronobiology International

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“…For instance, it was recently reported that nights with rather low levels (35–45 dB L AEq,indoor,night ) of ground-borne low-frequency noise from railway tunnels led to a reduction in total REM time of around 5–7 min compared to a quiet control night [ 50 ]. Longer REM latencies have been observed during nights with road or rail traffic noise [ 61 , 62 ], although other studies have found shorter REM latencies or no effect [ 63 , 64 ]. The precise function(s) of REM sleep remains controversial, but it may be important for cognition, consolidation of procedural and declarative memories, and synaptic pruning and strengthening [ 65–67 ].…”

Section: Discussionmentioning

confidence: 99%

A laboratory study on the effects of wind turbine noise on sleep: results of the polysomnographic WiTNES study

Smith

Ögren

Thorsson

et al. 2020

Sleep

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Study Objectives Assess the physiologic and self-reported effects of wind turbine noise (WTN) on sleep. Methods Laboratory sleep study (n = 50 participants: n = 24 living close to wind turbines and n = 26 as a reference group) using polysomnography, electrocardiography, salivary cortisol, and questionnaire endpoints. Three consecutive nights (23:00–07:00): one habituation followed by a randomized quiet Control and an intervention night with synthesized 32 dB LAEq WTN. Noise in WTN nights simulated closed and ajar windows and low and high amplitude modulation depth. Results There was a longer rapid eye movement (REM) sleep latency (+16.8 min) and lower amount of REM sleep (−11.1 min, −2.2%) in WTN nights. Other measures of objective sleep did not differ significantly between nights, including key indicators of sleep disturbance (sleep efficiency: Control 86.6%, WTN 84.2%; wakefulness after sleep onset: Control 45.2 min, WTN 52.3 min; awakenings: Control n = 11.4, WTN n = 11.5) or the cortisol awakening response. Self-reported sleep was consistently rated as worse following WTN nights, and individuals living close to wind turbines had worse self-reported sleep in both the Control and WTN nights than the reference group. Conclusions Amplitude-modulated continuous WTN may impact on self-assessed and some aspects of physiologic sleep. Future studies are needed to generalize these findings outside of the laboratory and should include more exposure nights and further examine possible habituation or sensitization.

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“…Xu et al 35 pointed out that SWS gradually decreased with the increase of CO 2 concentration. Popp et al 62 found out that SE significantly increased in silent condition compared to noise condition. Based on the research conducted above, four initial linear structure models were determined.…”

Section: Three Lessons Conducive To Improving Small Determination Coe...mentioning

confidence: 98%

Discussion on regression analysis with small determination coefficient in human‐environment researches

Lian

2022

Indoor Air

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As the main indicator for assessing the explanatory strength of regression model, there is no denying that a bigger value of determination coefficient (R‐squared, R2) is the consistent pursuit of researchers in human‐environment field, but whether to abandon or apply the model with a small value of R2 is an ongoing argument. This paper summarizes three characteristics of human‐environment researches (large number of various variables, large mathematical sample size, and polynomial regression model). Based on the mathematical mechanism of regression analysis, theoretical analysis and case study are combined to point out the misconceptions that are easy to step into and the corresponding suggested methods from three perspectives: selection of determination coefficients, consideration of independent variables, and application of regression models. An extraordinary important point is, if the regression model passes the significance test, even with a small coefficient of determination, it can still quantitatively explain the impact extent of independent variables on dependent variables, but cannot comprehensively and accurately predict the specific value of dependent variable based on existing independent variables; moreover, the larger the sample size, the closer the interpretation of dependent variables in local model to ideal model. It is expected that these cases and lessons could help researchers to better apply regression analysis in human‐environment researches, and that the small value of R2 would not be an excessive restriction affecting the development of scientific research in this field.

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Impact of overnight traffic noise on sleep quality, sleepiness, and vigilant attention in long-haul truck drivers: Results of a pilot study

Cited by 13 publications

References 38 publications

Accumulation of sleep loss among shift-working truck drivers

Accumulation of sleep loss among shift-working truck drivers

A laboratory study on the effects of wind turbine noise on sleep: results of the polysomnographic WiTNES study

Discussion on regression analysis with small determination coefficient in human‐environment researches

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