Patterns of working hour characteristics and risk of sickness absence among shift-working hospital employees: a data-mining cohort study

Rosenström, Tom; Härmä, Mikko; Kivimäki, Mika; Ervasti, Jenni; Virtanen, Marianna; Hakola, Tarja; Koskinen, Aki; Ropponen, Annina

doi:10.5271/sjweh.3957

Cited by 14 publications

(18 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The frequency of sick days rose during the pandemic, in 2021, which is in line with the findings of Rosenström et al [46], which stated that the strongest predictors of increased sick leave during the pandemic were having a pre-existing illness, exhaustion and fear of becoming infected. We could not find any significant correlation between demographic and schedule characteristics with regard to the variable "sick days".…”

Section: Resultssupporting

confidence: 88%

Working Hour and Schedule Characteristics among Nurses: A Retrospective Study

Peršolja¹

2022

austinjnurshealthcare

View full text Add to dashboard Cite

Introduction: To describe and compare characteristics of working hours and work schedules among nurses in 2019 and 2021. Evidence about the association regarding the relationship between nurses’ working hours and schedules with the COVID-19 pandemic is limited. Materials and Methods: The research was conducted at a medical unit of a secondary care regional hospital in Slovenia. Of 71 employees who were eligible, 24 fulfilled the criteria and their data were included in the study. Results and Discussion: There were substantial differences in working hour and schedule characteristics between 2019 and 2021. Compared to 2019, nurses in 2021 worked more hours, more long shifts, had fewer free weekends and education days, and almost double the number of sick days. Conclusion: While the nurse manager managed some of the working hour and schedule characteristics appropriately, additional awareness raising, and implementation of a related computer program, are suggested to optimize and develop work schedules.

show abstract

Section: Resultssupporting

confidence: 88%

Working Hour and Schedule Characteristics among Nurses: A Retrospective Study

Peršolja¹

2022

austinjnurshealthcare

View full text Add to dashboard Cite

show abstract

“…Exposure to light at night during night work is the major reason for circadian disruption in shift work and an important candidate for a possible cancer pathway due to changes in melatonin patterns, including sex hormones, oxidative stress, and genetic and immunological functions. 2 25 26 However, there is also evidence that shift work without night shifts-that is, alternating morning and evening work with variable and irregular shift start and end times-and insufficient resting time between shifts could be a stress factor, increasing sickness absence 27 and reducing opportunities for sleep and recovery. 12 The main strengths of this study include the large sample size and the long follow-up time from several survey waves with high response rates, as well as data on several potential confounders for breast cancer.…”

Section: Discussionmentioning

confidence: 99%

Shift work with and without night shifts and breast cancer risk in a cohort study from Finland

et al. 2022

Self Cite

View full text Add to dashboard Cite

ObjectivesTo examine the association of shift work with and without night work with breast cancer among women in the public sector.MethodsUsing the Finnish Public Sector cohort study (N=33 359, mean age of 40.6 years at baseline), we investigated the associations of shift work and potential confounders with incident breast cancer. Exposure to permanent day work or shift work was defined from first two consecutive surveys from 2000, 2004, 2008 or 2012 and past information on exposure in a subcohort (n=20 786). Incident cases of breast cancer (n=1129) were retrieved from the National Cancer Register and the cohort members were followed to the end of 2016. HR and 95% CI from Cox proportional hazard regression models were calculated.ResultsShift work with and without night shifts was not overall associated with breast cancer. When stratified according to age, both shift work without nights (HR 2.01, 95% CI 1.12 to 3.60) and shift work with nights (OR 2.05, 95% CI 1.04 to 4.01) were associated with an increased risk after a period of 10 years or more follow-up among women aged 50 years or older, when adjusted for age, socioeconomic status, children, smoking, alcohol and body mass index. In a subgroup with past information on exposure to shift work, the increased risk by longer exposure to shift work was not significant.ConclusionsThis study provides support for an increased risk of breast cancer among elderly shift workers. However, insufficient information on exposure and intensity of night work may attenuate the risk estimates.

show abstract

“…The foregoing only scratches the surface of the diverse range of methodical approaches and measurement techniques available to shift work researchers. Other innovative methods applied to the study of shift schedule characteristics include deriving exposure through job exposure metrics (eg, 19) and through data mining techniques (20), and using co-twin designs to evaluate familial confounding in the impact of nightwork (eg, 21). In addition, increasingly sophisticated wearable technology is available for the intensive measurement of sleep and physiological functioning in field studies (22).…”

Section: Scientific Challenges Of Studying Shift Schedule Designmentioning

confidence: 99%

Scientific challenges of studying shift schedule design

Tucker¹

2022

Scand J Work Environ Health

View full text Add to dashboard Cite

Patterns of working hour characteristics and risk of sickness absence among shift-working hospital employees: a data-mining cohort study

Cited by 14 publications

References 26 publications

Working Hour and Schedule Characteristics among Nurses: A Retrospective Study

Working Hour and Schedule Characteristics among Nurses: A Retrospective Study

Shift work with and without night shifts and breast cancer risk in a cohort study from Finland

Scientific challenges of studying shift schedule design

Contact Info

Product

Resources

About