The associations of working hour characteristics with short sickness absence among part- and full-time retail workers

Sickness absence among blue-collar workers in the retail and wholesale industry during the COVID-19 pandemic; a longitudinal cohort study

Sickness absence (SA) changed in various occupations during the COVID-19 pandemic. The aim was to investigate the prevalence of all-cause sickness absence (SA) during the COVID-19 pandemic in relation to in the preceding years, as well as factors associated with all-cause SA and SA due to COVID-19 and COVID-like diagnoses during the COVID-19 pandemic among blue-collar workers in the retail and wholesale industry. A population-based longitudinal cohort study using microdata linked from nationwide registers in Sweden. All 297 378 blue-collar employees aged 18-67 years in wholesale and retail in 2019 were followed during 2016-2021 regarding SA in spells > 14 days. Yearly prevalence rates were calculated for all-cause SA in sociodemographic and occupational groups. Logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI) for all-cause SA and SA due to COVID-19 or COVID-like diagnoses in 2020 and 2021. The annual prevalences of SA were 7.5-8% in 2016-2018, 10% in 2020, and 9% in 2021. The prevalence of SA due to COVID-19 or COVID-like diagnoses was 2.1% in 2020 and 1.6% in 2021. The OR was higher in the older age groups (OR age 55-64 = 2.38, 95% CI 2.20-2.57 compared to age 25-34). There were few significant occupational differences, however, warehouse and terminal staff had a higher OR (1.37, 1.27-1.48) than sales assistants, daily goods. While SA rates increased during the COVID-19 pandemic, the distribution of SA between sociodemographic or occupational groups did not change markedly. The distribution of SA due to COVID-19 and COVID-like diagnoses was similar to all-cause SA.

Evaluating quick return restrictions on sickness absence in healthcare employees: A difference-in-differences study

BACKGROUND

Short intervals between shifts, known as quick returns, have been linked to adverse health effects, and increased risk of occupational accidents, particularly among healthcare employees. To safeguard employee health, the 2020 reform of Working Time Act in Finland limited rest periods under 11 h in irregular shift work.

OBJECTIVE

To evaluate the changes in quick returns following the 2020 reform of the Working Time Act in Finland and their association with sickness absence among public healthcare employees.

DESIGN AND METHODS

This observational longitudinal study, analysed as a quasi-experiment used a difference-in-differences regression analysis with unit and time fixed effects and robust standard errors. We assessed changes in sickness absence from 2019 to 2021 across hospital work units. The study compared units mandated to limit quick returns (Treatment group; 416 units, over 20,500 employees, 72 % in nursing) with units that had low levels of quick returns prior the reform and did not need to limit quick returns (Control group; 37 units, over 1700 employees, 70 % in nursing). The analysis considered local agreements permitting quick returns, using both intention-to-treat and per-protocol approaches. Sensitivity analysis included regression models with unit level covariates and inverse probability weighting to adjust for initial differences.

RESULTS

The per-protocol approach and simple regression analysis with fixed effects for unit and time over 2019-2020 showed a less pronounced increase in sickness absence by -0.7 percentage points (95 % confidence interval [CI]: -1.3 to -0.1) for the treatment group compared to the control group, indicating a 13 % lower rate of sickness absence. For the period 2019-2021, the estimate was -0.5 percentage points (95 % CI: -1.0 to 0.0). When incorporating covariates and inverse probability weighting, the estimates were more substantial with narrower confidence intervals: -0.9 percentage points (95 % CI: -1.4 to -0.3) for 2019-2020, and - 0.6 percentage points (95 % CI: -1.2 to -0.1) for 2019-2021. The estimates from the intention-to-treat approach were consistent with the per-protocol results.

CONCLUSION

The Working Time Act reform reduced quick returns, and after the reform, the reduction was associated with a smaller increase in sickness absence among healthcare employees. Policymakers and nursing managers should evaluate and adjust the frequency of quick returns to achieve the potential effects on employee well-being, health, and operational efficiency, which in this study was indicated by the reduction in sickness absence.

Airport security personnel's working hour characteristics and associations with sickness absence-a retrospective cohort study in 2016-2019

We aimed to investigate the associations of working hour characteristics based on the international and local definitions with sickness absence (SA) among airport security personnel. The payroll-based registry data of daily working hours for 2016-2019 at one airport was limited to those with ≥30 work shifts in a year (n=377-687 employees). The conditional Poisson model for incidence rate ratios (IRR) with 95% confidence intervals (CI) was used for analyses. Based on the international definitions, only a few associations were found: each one-unit increase in weekly working hours and the number of consecutive working days were associated with a lower likelihood of SA. The local definitions were more consistently associated with SA: Each one-unit increase in shift length and time between shifts, higher variation in shift length, and the number of consecutive evening and night shifts were associated with a higher likelihood of SA. To conclude, especially the local definitions of working hour characteristics seem to be important limits for short SA. Thus, high variability of shift lengths and prolonged shifts could be avoided to reduce the risk of SA. Overall, keeping the working hours within any of the recommendations among airport security personnel could support well-being and health.

Concurrent Trajectories of Objectively Measured Insufficient Recovery and Workload Among a Cohort of Shift Working Hospital Employees: Quantitative Empirical Research

AIM

To investigate concurrent changes in short shift intervals (< 11 h) and workload among hospital employees.

DESIGN AND DATA SOURCES

This cohort study of 1904 employees in one hospital district in Finland utilised data on employees' working hours for short shift intervals and workload based on the patient classifications aggregated to a 3-week period level across 2 years, 2018-2019. The data was analysed by group-based trajectory modelling and multinominal regression models.

RESULTS

The seven trajectories model had the best fit to the data-Group 1: very few short shift intervals that are decreasing and low workload (15.0%); Group 2: a low amount of short shift intervals that are decreasing and stable low workload (14.2%); Group 3: moderate amount of short shift intervals that are slightly increasing and low workload (25.1%); Group 4: a low amount of short shift intervals that are slightly decreasing and stable low workload that is slightly increasing (12.1%): Group 5: a moderate amount of both short shift intervals and workload (19.8%): Group 6: short shift intervals that are clearly decreasing, with higher than the average workload decreasing (5.6%); Group 7: moderate amount of short shift intervals and very high workload (8.3%).

CONCLUSIONS

Only a minority of hospital employees were found to have both high workloads and insufficient recovery possibilities, but the time-related increases in objective workload were not compensated by better recovery possibilities in working hours. For shift scheduling, it is noteworthy that older employees might seek to work at units in which the workload is lower, which could be considered to support workability.

REPORTING METHOD

Record.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

Differential impacts of reduced worktime on work-life balance in Korea

This study analyzes the heterogenous effects of reducing weekly work hour on workers' quality of life in Korea. Using longitudinal household data from the Korean Labor and Income Panel Study (KLIPS) from 2001 to 2017, this study aims to shed light on how the work hour reduction policy may differently affect workers with different levels of resources and support by demographic and socioeconomic status. Our estimates from the difference-in-differences approach exploiting the staggered implementation of the work hour reduction policy indicate that the policy increased leisure satisfaction of female workers with low educational level and female workers in regular or inflexible work setting. Given Korea's exceedingly long working hours and inequities in the labor market, a better understanding of the complex factors that affect work-life balance can be helpful in developing policies supportive of healthy work-life balance for workers. This study, to our knowledge, is the first to investigate the composition of workers in the Korean labor market and examine differential impacts of the workhour reduction policy by demographic and socioeconomic status.

Night and evening shifts and risk of calling in sick within the next two days - a case-crossover study design based on day-to-day payroll data

OBJECTIVE

Night and evening work is associated with risk of sickness absence, but little is known about the acute effects of these types of shifts on sickness absence. The aim of the current study is therefore to examine the risk of calling in sick within two days after a night or an evening shift.

METHODS

By use of a case-crossover design, odds of calling in sick within two days after a night or an evening shift compared to day shifts were analyzed within the same person. Day-to-day information on shifts and sickness absence were derived from the Danish Working Hour Database on 44 767 cases. Data were analyzed using conditional logistic regression. The analyses were supplemented by extensive testing of methodological choices.

RESULTS

Analyses showed higher odds of calling in sick after a night shift [odds ratio (OR) 1.22, 95% confidence intervak (CI) 1.14-1.30] and lower odds after an evening shift (OR 0.89, 95% CI 0.84-0.93) compared to day shifts within the same person. Testing of methodological choices suggested that in particular the duration of case and control periods, time between these periods along with the number of control periods affected the results.

CONCLUSION

This large and unique within-person study among Danish hospital employees indicate that the risk of calling in sick is affected by the types of shifts, independently of sex, age, and time-invariant confounding. Extensive testing identified important methodological choices eg, length and number of included periods to consider when choosing the case-crossover design.

Protocol for a systematic review and meta-analysis on the associations between shift work and sickness absence

BACKGROUND

Shift work, i.e., non-standard work hours, has been associated with both short- and long-term sickness absence. However, findings are inconsistent and inconclusive. Thus far, no comprehensive meta-analytic synthesis on the relationship between shift work and sickness absence has been published. The aims of the planned systematic review and meta-analysis are (1) to establish whether shift work is associated with sickness absence, (2) to determine if specific shift work characteristics relate to sickness absence (e.g., length and frequency of spells), and (3) to identify moderating factors affecting the relationship between shift work and sickness absence.

METHODS

Eligible studies will be identified using a predefined search strategy in several electronic databases (MEDLINE, Web of Science, PsychInfo, EMBASE, and ProQuest) and comprise peer-reviewed papers reporting original empirical findings on the association between shift work and sickness absence. Mainly observational studies with cross-sectional, prospective, or retrospective research design and case-control studies will be included. Risk of bias will be assessed using an adapted checklist previously employed to evaluate studies on sickness absence. To carry out the meta-analytic synthesis, a random effects meta-analysis will be conducted using the Comprehensive Meta-Analysis software. The review and meta-analysis will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Heterogeneity will be evaluated by Cochran's Q test and the I² statistics.

DISCUSSION

The review and meta-analysis will be the first to conduct a meta-analytic synthesis of the evidence on the association between exposure to shift work and sickness absence, as well as identify relevant moderators affecting the relationship between shift work and sickness absence. Aggregation of the existing evidence will improve the knowledge on the association between shift work and sickness absence. Such knowledge can be used to guide scheduling of shift work to promote work schedules that are less detrimental to health and contribute to reduced sickness absence and higher work- and leisure-time productivity.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022301200.

A survey of train driver schedules, sleep, wellbeing, and driving performance in Australia and New Zealand

Train drivers work long hours on 24 h schedules and many factors impact their fatigue risk at work, creating a clear imperative for good rostering practice. Adopting a systems approach, this study investigated the relationship between multiple interrelated factors (train drivers’ schedule, sleep, wellbeing, and fatigue) and the perceived influence of these factors on train driving performance and safety using an online survey distributed in Australia and New Zealand. In addition to demographics and work schedule, passenger and freight train drivers (n = 751) answered questions about: (1) Sleep duration; (2) wellbeing, including physical and mental health, the extent to which shiftwork causes sleep, social, domestic, and work problems, and (3) the extent to which ten fatigue, health and wellbeing factors in the work and home environment negatively impact their driving performance. The key factor that emerged from analyses, with the largest and most consistent negative effects (and controlling for other factors) was schedule irregularity. Approved rosters were ranked as having the most important impact on day-to-day driving performance, followed by physical and mental health, and outside work factors. Results also suggested that schedule irregularity may amplify the negative impacts of the roster, impaired physical and mental health, and outside work factors on driving performance. As shift variability and schedule irregularity are often poorly represented in existing industry guidance, these results provide evidence for increased reflection on current fatigue management guidelines for train drivers and suggest a need for greater focus on schedule irregularity through the lens of a systems approach.

Association between split shift work and work-related injury and disease absence

Background

Shift work (particularly split shifts) has been noted among the working conditions that hinder sustainable work. However, little is known regarding the effects of split shifts on health. This study aimed to investigate the association between split shift work and work-related injury and disease absence.

Methods

This study used data from the fifth Korean Working Conditions Survey and included 4,042 paid shift workers. Shift work type and self-reported work-related injury and disease absence were investigated using a questionnaire. Logistic regression analysis was performed to investigate the association between split shift work and work-related absence with rotating shift worker as the reference group.

Results

Of the 4,042 shift workers, 980 (24.3%) were split shift workers. The adjusted odds ratio (aOR) of split shift for absence due to work-related injury was high at 2.94 (95% confidence interval [CI]: 1.85-4.68) and the aOR of split shift for absence due to work-related disease was also high at 1.58 (95% CI: 1.09-2.29) compared to rotating shift.

Conclusions

Split shift work leads to an increased risk of absences due to work-related injury and disease.