0000000000131579

AUTHOR

Tarja Hakola

showing 6 related works from this author

Corrigendum to ‘Sleep and sleepiness in shift-working tram drivers’[Applied Ergonomics Sleep and sleepiness in shift-working tram drivers 88 (2020) 1…

2021

medicine.medical_specialtyPhysical medicine and rehabilitationmedicineHuman factors and ergonomicsPhysical Therapy Sports Therapy and RehabilitationHuman Factors and ErgonomicsSafety Risk Reliability and QualityPsychologyEngineering (miscellaneous)Sleep in non-human animalsApplied Ergonomics
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The effects of using participatory working time scheduling software on sickness absence: A difference-in-differences study.

2020

Abstract Background Participatory working time scheduling is a collaborative approach to scheduling shift work. As a potential way of improving work time control, it may provide a means to reducing sickness absence in shift work. So far, experimental and quasi-experimental studies on the effects of increased work time control on sickness absence are lacking. Objective To investigate the effects of using digital participatory working time scheduling software on ward-level sickness absence among Finnish hospital employees. Participants and methods This quasi-experimental study compared the amount of sickness absence in hospital wards using a participatory working time scheduling software (n=1…

Personnel Staffing and Schedulingwork time controlsairauspoissaolotScheduling (computing)Shift work03 medical and health sciences0302 clinical medicineSoftwarenursingHealth careHumansOperations management030212 general & internal medicineGeneral NursingFinlandajanhallintaself-rostering030504 nursingbusiness.industryCitizen journalismsickness absencehealth careWorking timeDifference in differencesPersonnel Hospitaltyöaikashift workvuorotyöFemaleSick Leave0305 other medical sciencebusinessPsychologySoftwarehoitotyöPanel dataInternational journal of nursing studies
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Sleep and sleepiness in shift-working tram drivers

2020

Driver sleepiness contributes to traffic accidents. However, sleepiness in urban public transport remains an understudied subject. To fill this gap, we examined the sleepiness, sleep, and on-duty sleepiness countermeasures (SCMs) in 23 tram drivers working morning, day, and evening shifts for three weeks. Sleepiness was measured using Karolinska Sleepiness Scale (KSS). Nocturnal total sleep time (TST) was measured with wrist actigraphy. SCMs and naps were self-reported with a smartphone application. Caffeine and napping were considered effective SCMs. Severe sleepiness (KSS >= 7) was observed in 22% of shifts with no differences between shift types. Rest breaks were associated with slight r…

MaleSleepinessTime FactorsväsymysTransportationAudiologySmartphone applicationFATIGUEunettomuusROAD0302 clinical medicineWork Schedule Tolerance11. SustainabilityMedicineSafety Risk Reliability and Quality050107 human factorsSleep lossMorningRISKkuljettajatraitiovaununkuljettajatREST05 social sciencesAccidents TrafficHAULMiddle Aged030210 environmental & occupational health3142 Public health care science environmental and occupational healthvuorotyöFemaleSleep (system call)Sleep lossAdultAutomobile DrivingCAFFEINEmedicine.medical_specialtyEvening515 Psychologyurban transportationPhysical Therapy Sports Therapy and RehabilitationHuman Factors and ErgonomicsINDIVIDUAL-DIFFERENCESsleep lossuni (lepotila)03 medical and health sciencesSleep Disorders Circadian RhythmCOUNTERMEASURESHumans0501 psychology and cognitive sciencesdriver fatigueEngineering (miscellaneous)unihäiriötbusiness.industryUrban transportationActigraphySleep timeDriver fatigueUrban transportationkaupunkiliikenneliikenneonnettomuudetSleepbusiness
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The self-reported stress and stressors in tram and long-haul truck drivers

2022

Work stress may compromise professional drivers’ health and driving capacity. Differences between driver groups in terms of on-duty stress are understudied. Therefore, we examined self-reported stress (Stockholm University Stress Scale) of shift-working tram and long-haul truck drivers (n = 75) across 2–3 weeks. Furthermore, stressors were self-reported retrospectively and categorised as related to the job, driving conditions, personal, or other causes. Stress levels were generally low, but moderate to high stress (≥6) was more frequently reported among the tram drivers. Stressors related to the job (54%) and driving conditions (19% of all shifts) were frequently reported among the tram and…

Automobile DrivingShift work515 PsychologyPhysical Therapy Sports Therapy and RehabilitationHuman Factors and ErgonomicsStressFATIGUEstressdrivingMANAGEMENTHumansOccupationsSafety Risk Reliability and QualityEngineering (miscellaneous)Retrospective StudiesraitiovaununkuljettajatWORKtyöterveysrekka-autonkuljettajatstressiRECOVERYSLEEPTRANSPORTEXPERIENCESJOB STRAINMotor Vehiclesshift workvuorotyöTRAFFIC CONGESTIONSelf ReportHEALTHhuman activitiestyöterveyspsykologiaDriving
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The effects of using participatory working time scheduling software on working hour characteristics and wellbeing : a quasi-experimental study of irr…

2020

Background: Studies in the health care sector indicate that good work time control is associated with better perceived wellbeing but also with non-ergonomic work schedules, such as compressed work schedules. Participatory working time scheduling is a collaborative approach to scheduling shift work. Currently, there is a lack of information on whether working hour characteristics and employees' wellbeing in irregular shift work change after implementing participatory working time scheduling. Objective: To investigate the effects of using digital participatory working time scheduling software on working hour characteristics and well-being among Finnish hospital employees. Participants and met…

Shift workIMPACTComputer scienceNursesCAREER SATISFACTIONLogistic regressionwork time controlScheduling (computing)Work time controlShift work0302 clinical medicinenursingWork Schedule ToleranceHealth care030212 general & internal medicinehospital employeesGeneral NursingFinlandosallistuminenself-rostering030504 nursingShift Work ScheduleASSOCIATIONWorking timehealth carevuorotyöBALANCE8. Economic growthworking time autonomySelf-rosteringHEALTHHospital employees health care316 Nursing0305 other medical scienceEMPLOYEE CONTROLtyöhyvinvointiStaffingPersonnel Staffing and SchedulingNursing03 medical and health sciencesHumansOperations managementajanhallintaGeneral linear modelbusiness.industryWorking time autonomySLEEP DISTURBANCESRepeated measures designtyöaikashift workhoitohenkilöstöbusinessSoftwarehoitotyö
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The self-reported causes of sleepiness in shift-working tram and truck drivers

2021

Identifying the causes of sleepiness in various safety-critical work environments is neces-sary for implementing more efficient fatigue management strategies. In transportation, little is known about drivers' own perceptions of these causes. Therefore, we instructed shift-working tram (n = 23) and long-haul truck drivers (n = 52) to report at the end of their shifts what made them sleepy if they felt so. These self-reports, measured on-duty sleepiness, and sleep amounts were recorded on every shift over a period of 2-3 weeks per driver. The causes of sleepiness were queried with smartphone applications and sleep logs. Sleepiness was measured with the Karolinska Sleepiness Scale (KSS) and sl…

Truckkuorma-autonkuljettajatmedicine.medical_specialtyautonkuljettajatEvening515 PsychologyväsymyslepoALERTNESSTransportationAudiologySmartphone applicationFATIGUEunivajeTime of dayliikenne0502 economics and businessMANAGEMENTmedicineliikenneturvallisuus0501 psychology and cognitive sciencestauotEXPOSUREvuorokaudenajatPerceived fatiguealertness050107 human factorsApplied PsychologyvuorokausirytmiCivil and Structural EngineeringMorningtransportationOBJECTIVE MEASURESRISK050210 logistics & transportationbusiness.industry05 social sciencesTRANSPORT3142 Public health care science environmental and occupational healthROAD ENVIRONMENTCOUNTERMEASUREAutomotive Engineeringperceived fatigueSleep (system call)businessDRIVING PERFORMANCEhuman activitiesSleep lossTransportation Research Part F: Traffic Psychology and Behaviour
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