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Purpose: Though individuals with depression and those with poor working conditions are more likely to be on long-term sickness absence (LTSA), less is known about how working conditions may modify the associations between depression status and LTSA. This study aims to examine the association between depression and LTSA among Swedish workers with different levels of job strain and its individual components (job demands and job control). Methods: All Swedish workers 30 − 60 years old (N = 3,065,258) were studied in 2005. At baseline (2005–2010), workers were categorized as: without depression, being prescribed antidepressants, and being in inpatient/outpatient care. Job strain was measured using a Swedish Job Exposure Matrix, and data on LTSA were obtained from 2011 to 2021. The association between depression and LTSA was assessed using Cox proportional-hazards regression stratified by categories of job strain. Results: Compared to workers without depression, workers with depression had higher risk of LTSA across all job strain levels. Depression was associated with the highest hazards of LTSA in active jobs, but a similar population attributable fraction (PAF) was found across categories of job strain, indicating similarities between the different categories. Conclusion: There was evidence of a moderating effect of job strain in the relationship between depression and LTSA, but also evidence that this was due to differences in baseline depression prevalence in the different job strain categories. Future research is needed to determine alternative factors which could be relevant for reducing LTSA among those who have already developed depression. [ABSTRACT FROM AUTHOR]

Objective: The aim of the study is to examine the association between work ability andwork nonparticipation, including long-termsickness absence (LTSA), unemployment (UE), and disability pension/early retirement (ER). Methods:We conducted a questionnaire-based 5-year follow-up study on a representative sample of the German working population (n = 2426). We used a two-partmodel to examine the association of continuousWork Ability Index (WAI) scores with the probability of events of work nonparticipation and the duration thereof. Results: Higher WAI scores were protective against total work nonparticipation (an index combining the three indicators), LTSA, ER and UE, the latter among males only. HigherWAI scores were protective also against duration of totalwork nonparticipation and LTSA, but not against duration of UE and ER among males and duration of UE among females. Conclusions: Higher WAI scores have a protective role against work nonparticipation. [ABSTRACT FROM AUTHOR]

Abstract Background Managing long-term sickness absence is challenging in countries where employers and managers have the main responsibility to provide return to work support, particularly for workers with poor mental health. Whilst long-term sick leave and return to work frameworks and guidance exist for employers, there are currently no structured return to work protocols for employers or for their workers encompassing best practice strategies to support a positive and timely return to work outcome. Purpose To utilise the intervention mapping (IM) protocol as a framework to develop return to work toolkits that are underpinned by relevant behaviour change theory targeting mental health to promote a positive return to work experiensce for workers on long-term sick leave. Methods This paper provides a worked example of intervention mapping (IM) to develop an intervention through a six-step process to combine theory and evidence in the development of two toolkits – one designed for managers and one to be used by workers on long-term sick leave. As part of this process, collaborative planning techniques were used to develop the intervention. A planning group was set up, through which researchers would work alongside employer, worker, and mental health professional representatives to develop the toolkits. Additionally, feedback on the toolkits were sought from the target populations of workers and managers and from wider employer stakeholders (e.g., human resource specialists). The implementation and evaluation of the toolkits as a workplace intervention were also planned. Results Two toolkits were designed following the six steps of intervention mapping. Feedback from the planning group (n = 5; psychologist, psychiatrist, person with previous experience of poor mental health, employer and charity worker) and participants (n = 14; employers = 3, wellbeing director = 1; human resources = 2, managers = 2, employees with previous experience of poor mental health = 5) target populations indicated that the toolkits were acceptable and much needed. Conclusions Using IM allowed the development of an evidence-based practical intervention, whilst incorporating the views of all the impacted stakeholder groups. The feasibility and acceptability of the toolkits and their supporting intervention components, implementation process and methods of assessment will be evaluated in a feasibility pilot randomised controlled trial.

Return to work from long-term sick leave is influenced by personal and social factors, which can be measured by resilience, a construct that describe healthy adaptation against adversity. This study aimed to validate the validity and psychometric properties of the resilience scale for adults in a sample of long-term sick-listed individuals, and to investigate measurement invariance when compared with a university student sample. Confirmatory factor analysis was used on a sick-listed sample (n = 687) to identify the scale?s factor structure, and comparison with a university student sample (n = 241) was utilized to determine measurement invariance. Results show that a slightly modified factor structure, in accordance with previous research, achieved acceptable fit in the sick-listed sample, while comparisons with the student sample supported measurement invariance. This means that the study to a large degree support the factor structure of the resilience scale for adults in long-term sick-listed. Furthermore, the results indicate that the scale is similarly understood among long-term sick-listed as in a previously validated student sample. Thus, the resilience scale for adults can be a valid and reliable measure of protective factors in the long-term sickness absence and return to work context, and the subscale and total score can be interpreted similarly in long-term sick-listed as in other populations. [ABSTRACT FROM AUTHOR]

Abstract Background Return-to-work (RTW) process often includes many phases. Still, multi-state analyses that follow relevant labour market states after a long-term sickness absence (LTSA), and include a comprehensive set of covariates, are scarce. The goal of this study was to follow employment, unemployment, sickness absence, rehabilitation, and disability pension spells using sequence analysis among all-cause LTSA absentees. Methods Register data covered full-time and partial sickness allowance, rehabilitation, employment, unemployment benefits, and permanent and temporary disability pension (DP), retrieved for a 30% representative random sample of Finnish 18–59 years old persons with a LTSA in 2016 (N = 25,194). LTSA was defined as a ≥ 30-day-long full-time sickness absence spell. Eight mutually exclusive states were constructed for each person and for 36 months after the LTSA. Sequence analysis and clustering were used to identify groups with different labour market pathways. In addition, demographic, socioeconomic, and disability-related covariates of these clusters were examined using multinomial regressions. Results We identified five clusters with emphases on the different states: (1) rapid RTW cluster (62% of the sample); (2) rapid unemployment cluster (9%); (3) DP after a prolonged sickness absence cluster (11%); (4) immediate or late rehabilitation cluster (6%); (5) other states cluster (6%). Persons with a rapid RTW (cluster 1) had a more advantaged background than other clusters, such as a higher frequency of employment and less chronic diseases before LTSA. Cluster 2 associated especially with pre-LTSA unemployment and lower pre-LTSA earnings. Cluster 3 was associated especially with having a chronic illness before LTSA. Those in cluster 4 were on average younger and had a higher educational level than others. Especially clusters 3 and 4 were associated with a LTSA based on mental disorders. Conclusions Among long-term sickness absentees, clear groups can be identified with both differing labour market pathways after LTSA and differing backgrounds. Lower socioeconomic background, pre-LTSA chronic diseases and LTSA caused by mental disorders increase the likelihood for pathways dominated by long-term unemployment, disability pensioning and rehabilitation rather than rapid RTW. LTSA based on a mental disorder can especially increase the likelihood for entering rehabilitation or disability pension.

Background: Managing long-term sickness absence is challenging in countries where employers and managers have the main responsibility to provide return to work support, particularly for workers with poor mental health. Whilst long-term sick leave and return to work frameworks and guidance exist for employers, there are currently no structured return to work protocols for employers or for their workers encompassing best practice strategies to support a positive and timely return to work outcome. Purpose: To utilise the intervention mapping (IM) protocol as a framework to develop return to work toolkits that are underpinned by relevant behaviour change theory targeting mental health to promote a positive return to work experiensce for workers on long-term sick leave. Methods: This paper provides a worked example of intervention mapping (IM) to develop an intervention through a six-step process to combine theory and evidence in the development of two toolkits – one designed for managers and one to be used by workers on long-term sick leave. As part of this process, collaborative planning techniques were used to develop the intervention. A planning group was set up, through which researchers would work alongside employer, worker, and mental health professional representatives to develop the toolkits. Additionally, feedback on the toolkits were sought from the target populations of workers and managers and from wider employer stakeholders (e.g., human resource specialists). The implementation and evaluation of the toolkits as a workplace intervention were also planned. Results: Two toolkits were designed following the six steps of intervention mapping. Feedback from the planning group (n = 5; psychologist, psychiatrist, person with previous experience of poor mental health, employer and charity worker) and participants (n = 14; employers = 3, wellbeing director = 1; human resources = 2, managers = 2, employees with previous experience of poor mental health = 5) target populations indicated that the toolkits were acceptable and much needed. Conclusions: Using IM allowed the development of an evidence-based practical intervention, whilst incorporating the views of all the impacted stakeholder groups. The feasibility and acceptability of the toolkits and their supporting intervention components, implementation process and methods of assessment will be evaluated in a feasibility pilot randomised controlled trial. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Forward bending of the back is common in many jobs and a risk factor for sickness absence. However, this knowledge is based on self-reported forward bending that is generally imprecise. Thus, we aimed to investigate the dose–response relation between device-measured forward bending at work and prospective register-based risk of long-term sickness absence (LTSA). METHODS: At baseline, 944 workers (93% from blue-collar jobs) wore accelerometers on their upper back and thigh over 1–6 workdays to measure worktime with forward bending (>30˚ and >60˚) and body positions. The first event of LTSA (≥6 consecutive weeks) over a 4-year follow-up were retrieved from a national register. Compositional Cox proportional hazard analyses were used to model the association between worktime with forward bending of the back in an upright body position and LTSA adjusted for age, sex, body mass index (BMI), occupational lifting/carrying, type of work, and, in an additional step, for leisure time physical activity (PA) on workdays. RESULTS: During a mean worktime of 457 minutes/day, the workers on average spent 40 and 10 minutes on forward bending >30˚ and >60˚ in the upright position, respectively. Five more minutes forward bending >30˚ and >60˚ at work were associated with a 4% [95% confidence interval (CI) 1.01–1.07] and 8% (95% CI 1.01–1.16) higher LTSA risk, respectively. Adjustment for leisure-time PA did not influence the results. CONCLUSION: We found a dose–response association between device-measured forward bending of the back and prospective LTSA risk. This knowledge can be integrated into available feasible methods to measure forward bending of the back for improved workplace risk assessment and prevention.

Background: Return-to-work (RTW) process often includes many phases. Still, multi-state analyses that follow relevant labour market states after a long-term sickness absence (LTSA), and include a comprehensive set of covariates, are scarce. The goal of this study was to follow employment, unemployment, sickness absence, rehabilitation, and disability pension spells using sequence analysis among all-cause LTSA absentees. Methods: Register data covered full-time and partial sickness allowance, rehabilitation, employment, unemployment benefits, and permanent and temporary disability pension (DP), retrieved for a 30% representative random sample of Finnish 18–59 years old persons with a LTSA in 2016 (N = 25,194). LTSA was defined as a ≥ 30-day-long full-time sickness absence spell. Eight mutually exclusive states were constructed for each person and for 36 months after the LTSA. Sequence analysis and clustering were used to identify groups with different labour market pathways. In addition, demographic, socioeconomic, and disability-related covariates of these clusters were examined using multinomial regressions. Results: We identified five clusters with emphases on the different states: (1) rapid RTW cluster (62% of the sample); (2) rapid unemployment cluster (9%); (3) DP after a prolonged sickness absence cluster (11%); (4) immediate or late rehabilitation cluster (6%); (5) other states cluster (6%). Persons with a rapid RTW (cluster 1) had a more advantaged background than other clusters, such as a higher frequency of employment and less chronic diseases before LTSA. Cluster 2 associated especially with pre-LTSA unemployment and lower pre-LTSA earnings. Cluster 3 was associated especially with having a chronic illness before LTSA. Those in cluster 4 were on average younger and had a higher educational level than others. Especially clusters 3 and 4 were associated with a LTSA based on mental disorders. Conclusions: Among long-term sickness absentees, clear groups can be identified with both differing labour market pathways after LTSA and differing backgrounds. Lower socioeconomic background, pre-LTSA chronic diseases and LTSA caused by mental disorders increase the likelihood for pathways dominated by long-term unemployment, disability pensioning and rehabilitation rather than rapid RTW. LTSA based on a mental disorder can especially increase the likelihood for entering rehabilitation or disability pension. [ABSTRACT FROM AUTHOR]

OBJECTIVE: This study aimed to investigate the importance of combined psychosocial work factors for the risk of long-term sickness absence (LTSA). METHODS: We followed 69 371 employees in the general working population (Work Environment and Health in Denmark study 2012–2018), without LTSA during the preceding year, for up to two years in the Danish Register for Evaluation of Marginalization. Using k-means cluster analyses and weighted Cox-regression controlling for age, gender, survey year, education, health-behaviors, and physical work demands, we determined the prospective association of 11 identified clusters – based on the combination of nine psychosocial work factors (recognition, quantitative demands, work pace, emotional demands, influence, justice, role clarity, role conflicts, and support from colleagues) – with the risk of LTSA. RESULTS: During 124 045 person-years of follow-up, 6197 employees developed LTSA (weighted 8.5%). Using the cluster with the most favorable psychosocial scores as reference, clusters scoring poorly on several combined psychosocial factors had increased risk of LTSA. The cluster scoring poor on all nine psychosocial factors exhibited the highest risk [hazard ratio (HR) 1.68, 95% confidence interval (CI) 1.45–1.94]. Scoring poorly on one or two psychosocial factors did not increase the risk of LTSA when combined with favorable scores on the other psychosocial factors. Interaction analyses showed that gender, but not age and education, modified the association between cluster and LTSA. CONCLUSION: Scoring poorly on several combined psychosocial work factors plays an important role in the risk of LTSA. Scoring favorably on several psychosocial factors outweighed the potentially adverse effects of scoring poorly on one or two factors.

OBJECTIVE: This study tested and validated an existing tool for its ability to predict the risk of long-term (ie, ≥6 weeks) sickness absence (LTSA) after four days of sick-listing. METHODS: A 9-item tool is completed online on the fourth day of sick-listing. The tool was tested in a sample (N=13 597) of food retail workers who reported sick between March and May 2017. It was validated in a new sample (N=104 698) of workers (83% retail) who reported sick between January 2020 and April 2021. LTSA risk predictions were calibrated with the Hosmer-Lemeshow (H-L) test; non-significant H-L P-values indicated adequate calibration. Discrimination between workers with and without LTSA was investigated with the area (AUC) under the receiver operating characteristic (ROC) curve. RESULTS: The data of 2203 (16%) workers in the test sample and 14 226 (13%) workers in the validation sample was available for analysis. In the test sample, the tool together with age and sex predicted LTSA (H-L test P=0.59) and discriminated between workers with and without LTSA [AUC 0.85, 95% confidence interval (CI) 0.83–0.87]. In the validation sample, LTSA risk predictions were adequate (H-L test P=0.13) and discrimination was excellent (AUC 0.91, 95% CI 0.90–0.92). The ROC curve had an optimal cut-off at a predicted 36% LTSA risk, with sensitivity 0.85 and specificity 0.83. CONCLUSION: The existing 9-item tool can be used to invite sick-listed retail workers with a ≥36% LTSA risk for expedited consultations. Further studies are needed to determine LTSA cut-off risks for other economic sectors.

OBJECTIVE: This study aimed to examine the association between work-unit level leadership quality and individual-level long-term sickness absence (LTSA) in the hospital sector and effect modification by chronic disorders. METHODS: This longitudinal analysis included 33 025 Danish public hospital employees who were followed-up for one year after baseline in March 2014. Leadership quality was assessed by questionnaire with mean responses aggregated by work-unit and characterized in tertiles. LTSA during follow-up was determined from employer records. Chronic disorders at baseline was assessed from the Danish hospital and prescription registers. We performed multilevel logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) adjusting for potential confounders. We evaluated interaction between chronic illness and low leadership quality on multiplicative and additive scales. RESULTS: We identified employees as healthy (60.8%) or with somatic (31.6%), mental (3.3%), or both somatic and mental (4.3%) disorders. During follow-up, 6% of employees registered a LTSA. Medium and high leadership quality were associated with lower risk of LTSA with OR of 0.84 (95% CI 0.76–0.94) and 0.73 (95% CI 0.65–0.82) respectively, compared to low leadership quality. Associations were similar for healthy employees and employees with only somatic disorders, whereas no association was observed for employees with mental disorders (in presence or absence of somatic disorders). No statistically significant (α=0.05) interactions between leadership quality and chronic disorders on LTSA were observed. CONCLUSION: The findings suggest that the quality of leadership in work units is associated with risk of long-term sick leave in the Danish public hospital sector and that strong leadership protects employees against LTSA.

Abstract Background The cost of sickness absence has major social, psychological and financial implications for individuals and organisations. Return-to-work (RTW) interventions that support good quality communication and contact with the workplace can reduce the length of sickness absence by between 15 and 30 days. However, initiatives promoting a sustainable return to work for workers with poor mental health on long-term sickness absence across small, medium and large enterprises (SMEs and LEs) are limited. This paper describes the protocol of a pilot randomised controlled trial (RCT) to test the feasibility of implementing a RTW intervention across SMEs and LEs across all sectors. Methods and design A two-arm feasibility RCT with a 4-month intervention will be conducted in SMEs and LE enterprises from the Midlands region, UK. At least 8 organisations (4 controls and interventions), and at least 60 workers and/or managers, will be recruited and randomised into the intervention and control group (30 interventions, 30 controls). Workers on long-term sickness absence (LTSA) (between 8 and 50 days) and managers with a worker on LTSA will be eligible to participate. The intervention is a behavioural change programme, including a managers and workers RTW toolkit, focused on supporting sickness absence and RTW through the provision of knowledge, problem-solving, action planning, goal setting and positive communication that leads to a sustainable RTW. Organisations assigned to the control group will continue with their usual practice. Measurements of mental health, RTW, work outcomes, quality-of-life, workplace support and communication and other demographic data will be taken at baseline, 2 months and 4 months. Feasibility will be assessed based on recruitment, retention, attrition, completion of measures and intervention compliance for which specific process and research outcomes have been established. A process evaluation will explore the experiences and acceptability of the intervention components and evaluation measures. Exploratory economic evaluation will be conducted to further inform a definitive trial. Discussion This is a novel intervention using a worker-manager approach to promote a sustainable return to work of workers on long-term sick leave due to poor mental wellbeing. If this intervention is shown to be feasible, the outcomes will inform a larger scale randomised control trial. Trial registration ISRCTN90032009 (retrospectively registered, date registered 15th December 2020)

Purpose Return to work is a complex and challenging process which takes various forms in different contexts. The aim of this study is to explore and compare cross-country differences in stakeholders' experiences and views on actors, policies and practices relevant for return to work after long-term sickness absence. The comparative exploration is done in six countries with various legislative backgrounds, welfare and social dialogue systems. Methods Using a purposive sample, six multidisciplinary stakeholders group discussions were conducted in six countries: Belgium, Estonia, Ireland, Italy, Romania and Slovakia. A total of 51 individuals comprised of social partners, policymakers or representatives of public bodies and patient associations participated. An interpretative phenomenological analysis was employed to derive the most important themes in the discussions. Results Five major themes emerged from the group discussions. A graphic model is proposed to emphasize the variety of frameworks and processes across countries. Conclusions The core part of the return to work process is the dynamic relation between legislation, stakeholders and practices, which is influenced by broader national and societal factors. The cross-country variation in legislations, stakeholders and practices can be understood as a continuum, from low to high structuring, development and comprehensiveness. Although social dialogue appears to have a role in return to work process with variation across countries, it is not always on top of the agenda of social partners. [ABSTRACT FROM AUTHOR]

Sickness absences are a significant public health and economic problem worldwide. However, sickness absence diagnoses and trends have not been reported in much detail in Japan. This study was a retrospective cohort study. We examined data on certified diagnoses and the durations of sickness absence lasting over 90 days (long-term sickness absence) from 2009–2018 among city public servants in Japan. We found that 1) “Mental and behavioral disorders” (495.0– 780.6 per 100,000 employees) was the most prevalent reason for long-term sickness absence, and “Mood disorders” (318.6–584.3 per 100,000 employees) was the most prevalent mental disorders diagnosis in each study year; 2) the prevalence of long-term sickness absence for mental disorders showed decreasing trends (781/100,000 in 2009 to 622/100,000 in 2018; [p=0.005, for the trend test]); 3) the trends differed by gender (p<0.05) and age (p<0.001); and 4) the duration of long-term sickness absence related to mental disorders (13.2 ± 9.0 months) was longer than long-term sickness absence resulting from all physical disorders except for diseases of the circulatory system (15.1 ± 11.6 months). Increased focus on significant depressive and neurotic disorders is needed when promoting mental health in the workplace. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Elevated arm work is prevalent in many jobs. Feasible device-based methods are available to measure elevated arm work. However, we lack knowledge on the association between device-measured elevated arm work and prospective risk of long-term sickness absence (LTSA). We aimed to investigate this association. METHODS: At baseline, 937 workers wore accelerometers on the right arm and thigh over 1–5 workdays to measure work time spent with elevated arms in an upright position. Between baseline and 4-year prospective follow-up in the national registers, we obtained information on the individuals` first event of LTSA (≥6 consecutive weeks). We performed compositional Cox proportional hazard analyses to model the association between work time with arm elevation >30˚, >60˚, or >90˚ and the probability of LTSA. RESULTS: Workers spent 21% of their work time with >30˚ arm elevation, 4% with >60˚ arm elevation, and 1% with >90˚ arm elevation; in the upright body position. We found a positive dose–response association between work time spent with elevated arm work and the risk of LTSA. Specifically, we found that increasing two minutes of work time spent with arm elevation at (i) >90˚ increased the risk of LTSA by 14% [hazard ratio (HR) 1.14, 95% confidence intervals (95% CI 1.04–1.25)] (ii) >60˚ increased the LTSA risk by 3% (HR 1.03, 95% CI 1.03–1.06), and (iii) >30˚ increased the LTSA risk by 1% (HR 1.01, 95% CI 1.00–1.02). CONCLUSION: Device-measured elevated arm work is associated with increased prospective LTSA. This information ought to be brought into preventive workplace practice by accessible and feasible device-based methods of elevated arm work.

Background: The cost of sickness absence has major social, psychological and financial implications for individuals and organisations. Return-to-work (RTW) interventions that support good quality communication and contact with the workplace can reduce the length of sickness absence by between 15 and 30 days. However, initiatives promoting a sustainable return to work for workers with poor mental health on long-term sickness absence across small, medium and large enterprises (SMEs and LEs) are limited. This paper describes the protocol of a pilot randomised controlled trial (RCT) to test the feasibility of implementing a RTW intervention across SMEs and LEs across all sectors. Methods and design: A two-arm feasibility RCT with a 4-month intervention will be conducted in SMEs and LE enterprises from the Midlands region, UK. At least 8 organisations (4 controls and interventions), and at least 60 workers and/or managers, will be recruited and randomised into the intervention and control group (30 interventions, 30 controls). Workers on long-term sickness absence (LTSA) (between 8 and 50 days) and managers with a worker on LTSA will be eligible to participate. The intervention is a behavioural change programme, including a managers and workers RTW toolkit, focused on supporting sickness absence and RTW through the provision of knowledge, problem-solving, action planning, goal setting and positive communication that leads to a sustainable RTW. Organisations assigned to the control group will continue with their usual practice. Measurements of mental health, RTW, work outcomes, quality-of-life, workplace support and communication and other demographic data will be taken at baseline, 2 months and 4 months. Feasibility will be assessed based on recruitment, retention, attrition, completion of measures and intervention compliance for which specific process and research outcomes have been established. A process evaluation will explore the experiences and acceptability of the intervention components and evaluation measures. Exploratory economic evaluation will be conducted to further inform a definitive trial. Discussion: This is a novel intervention using a worker-manager approach to promote a sustainable return to work of workers on long-term sick leave due to poor mental wellbeing. If this intervention is shown to be feasible, the outcomes will inform a larger scale randomised control trial. Trial registration: ISRCTN90032009 (retrospectively registered, date registered 15th December 2020) [ABSTRACT FROM AUTHOR]

OBJECTIVES: This prospective cohort study aimed to investigate gender harassment and sexual harassment as risk factors for prospective long-term sickness absence (LTSA, ≥21 days). Furthermore, support from colleagues was investigated as a moderating factor of this association. METHODS: Information on gender harassment, sexual harassment and support by colleagues were derived from the biannual Swedish Work Environment Survey 1999–2013, a representative sample of the Swedish working population (N=64 297). Information on LTSA as well as demographic and workplace variables were added from register data. Relative rates of LTSA the year following the exposure were determined using modified Poisson regression. RESULTS: Monthly to daily exposure to gender harassment was a risk factor for prospective LTSA among women [rate ratio (RR) 1.04, 95% confidence interval (CI) 1.02–1.05] and men (RR 1.07, 95% CI 1.04–1.10). Monthly to daily exposure to sexual harassment was also a risk factor for LTSA among women (RR 1.05, 95% CI 1.01–1.10) and men (RR 1.07, 95% CI 1.02–1.13). Exposure to sexual or gender harassment once in the last 12 months was not associated with LTSA. There was no support for an interaction between either of the exposures and support from colleagues in relation to LTSA. CONCLUSIONS: Sexual harassment and gender harassment appear to contribute to a small excess risk for LTSA among women and men. For both kinds of offensive behaviors, the pervasiveness appears to be important for the outcome. The role of support by colleagues was inconclusive and needs further investigation.

Objective Elevated arm work is prevalent in many jobs. Feasible device-based methods are available to measure elevated arm work. However, we lack knowledge on the association between device-measured elevated arm work and prospective risk of long-term sickness absence (LTSA). We aimed to investigate this association. Methods At baseline, 937 workers wore accelerometers on the right arm and thigh over 1-5 workdays to measure work time spent with elevated arms in an upright position. Between baseline and 4-year prospective follow-up in the national registers, we obtained information on the individuals' first event of LTSA (≥6 consecutive weeks). We performed compositional Cox proportional hazard analyses to model the association between work time with arm elevation >30°, >60°, or >90° and the probability of LTSA. Results Workers spent 21% of their work time with >30° arm elevation, 4% with >60° arm elevation, and 1% with >90° arm elevation; in the upright body position. We found a positive dose--response association between work time spent with elevated arm work and the risk of LTSA. Specifically, we found that increasing two minutes of work time spent with arm elevation at (i) >90° increased the risk of LTSA by 14% [hazard ratio (HR) 1.14, 95% confidence intervals (95% CI 1.04-1.25)] (ii) >60° increased the LTSA risk by 3% (HR 1.03, 95% CI 1.03-1.06), and (iii) >30° increased the LTSA risk by 1% (HR 1.01, 95% CI 1.00-1.02). Conclusion Device-measured elevated arm work is associated with increased prospective LTSA. This information ought to be brought into preventive workplace practice by accessible and feasible device-based methods of elevated arm work. [ABSTRACT FROM AUTHOR]

OBJECTIVES: This study determined the prospective relation between physical workload and long-term sickness absence (LTSA) and examined if work-unit social capital may buffer the effect of high physical workload on LTSA. METHODS: We included 28 925 participants from the Danish Well-being in HospitAL Employees (WHALE) cohort, and followed them for two years. Physical workload and social capital were self-reported and categorized into low, medium, and high. Physical workload was analyzed on the individual level, whereas social capital was analyzed on the work-unit level. LTSA data were obtained from the employers’ payroll system. We performed two-level logistic regression analyses: joint-effect and stratified analyses adjusted for baseline covariates. RESULTS: High versus low physical workload was associated with a higher risk of LTSA [odds ratio (OR) 1.55, 95% confidence interval (CI) 1.40–1.72]. There was a multiplicative interaction (P=0.007) and a tendency of sub-additive interaction [relative excess risk due to interaction (RERI) -0.49, 95% CI -1.03–0.06] between physical workload and social capital. Doubly exposed employees had the highest risk of LTSA (OR 2.45; 95% CI 2.02–2.98), but this effect was smaller than expected from the sum of their main effects. CONCLUSIONS: We found a prospective relation between physical workload and LTSA but no evidence of high social capital buffering the effect of high physical workload. High physical workload was a risk factor for LTSA at all levels of social capital and employees exposed to both exposures had the highest risk of LTSA. Interventions should aim at both improving social capital and reducing physical workload in order to efficiently prevent LTSA.

Abstract Background Societal expenditures on work-disability benefits is high in most Western countries. As a precursor of long-term work restrictions, long-term sickness absence (LTSA) is under continuous attention of policy makers. Different healthcare professionals can play a role in identification of persons at risk of LTSA but are not well trained. A risk prediction model can support risk stratification to initiate preventative interventions. Unfortunately, current models lack generalizability or do not include a comprehensive set of potential predictors for LTSA. This study is set out to develop and validate a multivariable risk prediction model for LTSA in the coming year in a working population aged 45–64 years. Methods Data from 11,221 working persons included in the prospective Study on Transitions in Employment, Ability and Motivation (STREAM) conducted in the Netherlands were used to develop a multivariable risk prediction model for LTSA lasting ≥28 accumulated working days in the coming year. Missing data were imputed using multiple imputation. A full statistical model including 27 pre-selected predictors was reduced to a practical model using backward stepwise elimination in a logistic regression analysis across all imputed datasets. Predictive performance of the final model was evaluated using the Area Under the Curve (AUC), calibration plots and the Hosmer-Lemeshow (H&L) test. External validation was performed in a second cohort of 5604 newly recruited working persons. Results Eleven variables in the final model predicted LTSA: older age, female gender, lower level of education, poor self-rated physical health, low weekly physical activity, high self-rated physical job load, knowledge and skills not matching the job, high number of major life events in the previous year, poor self-rated work ability, high number of sickness absence days in the previous year and being self-employed. The model showed good discrimination (AUC 0.76 (interquartile range 0.75–0.76)) and good calibration in the external validation cohort (H&L test: p = 0.41). Conclusions This multivariable risk prediction model distinguishes well between older workers with high- and low-risk for LTSA in the coming year. Being easy to administer, it can support healthcare professionals in determining which persons should be targeted for tailored preventative interventions.

OBJECTIVE: The aim of this study was to determine the association of physical capability with health-related labor market outcomes among older workers. METHODS: The prospective risk of disability pension and long-term sickness absence (LTSA) of ≥6 weeks was estimated from physical capability on 5076 older workers (age 49–63 years) from the Copenhagen Aging and Midlife Biobank (CAMB). Physical capability was objectively measured through nine different tests (jump performance, postural balance, chair-rise, explosive muscle strength, maximal strength of the hand, back and abdominal muscles, lung capacity, and aerobic fitness) and linked to a high-quality register on social transfer payments among all Danish residents. Cox-regression analyses estimated the association of physical capability with risk of disability pension and LTSA. RESULTS: For all measures, low physical capability [≥1 standard deviation (SD) below the mean for each gender] was associated with increased risk of disability pension and/or LTSA, whereas high physical capability (≥1 SD above the mean for each gender) was not. A capability−response association was observed between the number of tests with low capability and disability pension and LTSA (P40% of premature exits from the labor market.

Abstract Background Increasing rates of long-term sickness absence are a worldwide problem. Belgium is the first country in Europe that aims to screen its entire population of sick leavers (sick leave > 6 weeks) for the risk of long-term sickness absence in order to focus resources on the high-risk group and to provide adequate return-to-work support. Our aim was to investigate content and face validity of a newly designed questionnaire (Quickscan) using item prioritization of patients and professionals in the field of long-term sickness absence. This questionnaire was developed based on a review of the literature and existing instruments (Goorts et al, J Public Health Res 7:1419, 2018). Methods Qualitative data were collected using the nominal group technique. The data were gathered exploring factors that influence return-to work restrictions or opportunities. Results Participants indicated 20 out of 21 of the questionnaire factors as important reasons that might influence the return-to-work process. Additionally, 16 factors were discussed that were not yet included in the Quickscan but that might provide useful information on return-to-work issues, according to the participants. In the prioritization of items, we found considerable diversity among participants. Conclusions Our findings demonstrate the validity of the Quickscan items to ask patients about important return-to-work barriers or opportunities. However, additional factors were identified that may improve the assessment of risk for long-term sickness absence.

OBJECTIVES: Previous studies mainly based on the public sector show that organizational justice is associated with a lower risk of sickness absence (SA). The purpose of this study is to analyze this association with multi-cohort data from different employment sectors and to discover whether the association varies according to the general economic context or financial situation of the workplace. METHODS: Cross-sectional Finnish Quality of Work Life surveys from 1997, 2003, and 2008 were combined with data on long-term SA obtained from the Finnish Social Security Institution. The associations between SA periods in the three years following each survey and perceived relational justice, general economic context, and the perceived financial situation of the workplace were analyzed with negative binomial regression. RESULTS: Higher level of relational justice was statistically significantly associated with lower rate of SA after controlling for baseline health, but not after controlling for job control and job demands. An interaction was found with relational justice and the financial situation of the workplace. Higher level of relational justice was related to a lower risk of SA when the financial situation of the workplace was stable, but there was a higher risk of SA when the financial situation was insecure. CONCLUSIONS: The association between relational justice and a lower risk of SA is in line with previous studies when the financial situation of the workplace is stable. In unstable economic conditions, employees may have the courage to take sick leave when they are ill if they are fairly treated by their supervisor.

OBJECTIVES: Little is known about the employment prospects of formerly deployed soldiers (FDS) after returning from military deployment. The few studies that exist reported mixed results, and even fewer undertook comparisons with a civilian control population. This study compared labor market transitions of FDS within five years of returning from their first international deployment with those of a closely matched general-population control group. METHODS: Danish FDS (N=6653) returning from their first ever peacekeeping in Kosovo or Iraq, or more intense combat in Afghanistan (period 2002–2012), were matched with non-deployed controls from the general population (N=62 281). We modelled time-to-event using Cox models, for transitioning from employed to unemployed and back, and from work to long-term sickness absence and back. Each analysis adjusted for age and level of education and was stratified for the region of residence and the underlying period. RESULTS: Independent of deployment country, FDS had a lower risk of becoming unemployed [hazard ratio (HR) 0.55–0.73] and a higher chance of obtaining employment (HR 1.19–1.31) than matched controls. FDS returning from Afghanistan had a higher risk of long-term sickness absence (HR 1.66), while those returning from Kosovo had a higher chance of returning to work (HR 1.24). CONCLUSION: Independent of deployment country, FDS fared better in the labor market within five years of returning home compared to non-deployed controls. However, deployment to Afghanistan was related to a higher risk of long-term sickness absence, suggesting that some soldiers have worse outcomes than the general population.

In this study, we explore whether education–occupation mismatch in the form of over-education and under-education affects the risk of long-term sickness absence. We use register data covering the Norwegian population in the period 2003–2013, containing 13,628,079 person-year observations (2,059,989 persons). To account for selection, we controlled for unobserved occupational and individual heterogeneity. This has been lacking in previous studies of mismatch and health outcomes. Our results show that over-education increases, and under-education reduces, the probability of long-term sickness absence. Controlling for selection reduces the associations substantially. The associations also diminish with experience. These results hold across two different measures of mismatch. Furthermore, both time spent in a mismatched status and specifications of mismatch alter the probability of LTSA. We conclude that education–occupation mismatch is associated with long-term sickness absence but underscore the need for adequate controls for selection. [ABSTRACT FROM AUTHOR]

OBJECTIVES: This study aimed to develop and validate a risk prediction model for long-term sickness absence. METHODS: Survey responses on work- and lifestyle-related questions from 65 775 public-sector employees were linked to sickness absence records to develop a prediction score for medically-certified sickness absence lasting >9 days and ≥90 days. The score was externally validated using data from an independent population-based cohort of 13 527 employees. For both sickness absence outcomes, a full model including 46 candidate predictors was reduced to a parsimonious model using least-absolute-shrinkage-and-selection-operator (LASSO) regression. Predictive performance of the model was evaluated using C-index and calibration plots. RESULTS: Variance explained in ≥90-day sickness absence by the full model was 12.5%. In the parsimonious model, the predictors included self-rated health (linear and quadratic term), depression, sex, age (linear and quadratic), socioeconomic position, previous sickness absences, number of chronic diseases, smoking, shift work, working night shift, and quadratic terms for body mass index and Jenkins sleep scale. The discriminative ability of the score was good (C-index 0.74 in internal and 0.73 in external validation). Calibration plots confirmed high correspondence between the predicted and observed risk. In >9-day sickness absence, the full model explained 15.2% of the variance explained, but the C-index of the parsimonious model was poor (

Purpose Today, decreasing numbers of workers in Europe are employed in standard employment relationships. Temporary contracts and job insecurity have become more common. This study among workers without an employment contract aimed to (i) predict risk of long-term sickness absence and (ii) identify distinct subgroups of sick-listed workers. Methods 437 individuals without an employment contract who were granted a sickness absence benefit for at least two weeks were followed for 1 year. We used registration data and self-reported questionnaires on sociodemographics, work-related, health-related and psychosocial factors. Both were retrieved from the databases of the Dutch Social Security Institute and measured at the time of entry into the benefit. We used logistic regression analysis to identify individuals at risk of long-term sickness absence. Latent class analysis was used to identify homogenous subgroups of individuals. Results Almost one-third of the study population (n = 133; 30%) was still at sickness absence at 1-year follow-up. The final prediction model showed fair discrimination between individuals with and without long-term sickness absence (optimism adjusted AUC to correct for overfitting = 0.761). Four subgroups of individuals were identified based on predicted risk of long-term sickness absence, self-reported expectations about recovery and return to work, reason of sickness absence and coping skills. Conclusion The logistic regression model could be used to identify individuals at risk of long-term sickness absence. Identification of risk groups can aid professionals to offer tailored return to work interventions. [ABSTRACT FROM AUTHOR]

Purpose: To determine the prospective relation between workplace violence and the risk of long-term sickness absence (LTSA), and study if work-unit social capital could buffer this effect. As an explorative analysis, the association between work-unit social capital and workplace violence is also tested. Methods: The study is based on the Well-being in HospitAL Employees (WHALE) cohort, including healthcare employees in Denmark. The study sample consisted of 30,044 employees nested within 2304 work-units. Exposure to workplace violence and threats of violence during the past 12 months was measured by self-report. Work-unit social capital was computed by aggregating the mean individual responses within work-units. LTSA was defined as one or more episodes of ≥ 29 consecutive sickness absence days initiated within 2 years following baseline. Results: Employees experiencing workplace violence had a higher risk of LTSA (OR = 1.55; 95% CI 1.39–1.72), but there was no evidence in support of work-unit social capital buffering the effect of workplace violence on LTSA (RERI = 0.24; 95%CI: − 0.36 to 0.84; p = 0.12 for multiplicative interaction). High compared to low work-unit social capital was associated with a lower prevalence of workplace violence (OR = 0.47; 95% CI 0.36–0.61). Conclusion: There was a prospective association between workplace violence and LTSA, but work-unit social capital did not buffer this effect. Furthermore, the results revealed an inverse association between work-unit social capital and workplace violence. The findings indicate that in order to effectively reduce LTSA, preventive interventions need to both prevent workplace violence and strengthen social capital. [ABSTRACT FROM AUTHOR]

Aims: The study aim was to identify prototypical labour-market trajectories following a first incidence of long-term sickness absence (LTSA), and to assess whether baseline socio-demographic characteristics are associated with the return-to-work (RTW) process and labour-market attachment (LMA). Methods : This prospective study used Norwegian administrative registers with quarterly information on labour-market participation to follow all individuals born 1952–1978 who underwent a first LTSA during the first quarter of 2004 (n =9607) over a 10-year period (2004–2013). Sequence analysis was used to identify prototypical labour-market trajectories and LMA; trajectory membership was examined with multinomial logistic regression. Results : Sequence analysis identified nine labour-market trajectories illustrating the complex RTW process, with multiple states and transitions. Among this sample, 68.2% had a successful return to full-time work, while the remaining trajectories consisted of part-time work, unemployment, recurrence of LTSA, rehabilitation and disability pension (DP). A higher odds ratio (OR) for membership to trajectories of weaker LMA was found for females and older participants, while being married/cohabitating, having children, working in the public sector, and having a higher education, income and occupational class were associated with a lower OR of recurrence, unemployment, rehabilitation and DP trajectories. These results are consistent with three LMA indicators. Conclusions : Sequence analysis revealed prototypical labour-market trajectories and provided a holistic overview of the heterogeneous RTW processes. While the most frequent outcome was successful RTW, several unfavourable labour-market trajectories were identified, with trajectory membership predicted by socio-demographic measures. [ABSTRACT FROM AUTHOR]

OBJECTIVES: The aim of this study was to determine the prospective association of cumulative mechanical exposure during working life with health-related labor market outcomes. METHODS: This prospective cohort study combines data from 5076 older workers (age 49–63 years) from the Copenhagen Aging and Midlife Biobank with a job exposure matrix and a national register containing information on social transfer payment. By coding individual job histories from the Danish version of ISCO-codes (International Standard Classification of Occupations), we calculated cumulative occupational mechanical exposures from a JEM for ton-years (lifting 1000 kg each day in one year), lifting-years (lifting loads weighing ≥20 kg >10 times each day in one year), kneeling-years (kneeling for one hour each day in one year) and vibration-years (whole-body vibration for one hour each day in one year). Cox-regression analyses estimated the relative risk of register-based long-term sickness absence (LTSA) and disability pension with cumulative occupational mechanical exposures throughout working life. Analyses were censored for competing events and adjusted for multiple confounders. RESULTS: During the follow-up period, 970 persons (19.3%) had ≥1 episode of LTSA and 85 persons (1.7%) were granted a disability pension. Number of ton-, lifting- and kneeling-years showed an exposure–response association with increased risk of LTSA (P

OBJECTIVES: The aim of this study was to determine the joint association of multimorbidity and work ability with the risk of long-term sickness absence (LTSA) in the general working population. METHODS: Cox regression analysis censoring for competing events (statutory retirement, early retirement, disability pension, immigration, or death) was performed to estimate the joint association of chronic diseases and work ability in relation to physical and mental demands of the job with the prospective risk for LTSA (defined as ≥6 consecutive weeks during 2-year follow-up) among 10 427 wage earners from the general working population (2010 Danish Work Environment Cohort Study). Control variables were age, gender, psychosocial work environment, smoking, leisure physical activity, body mass index, job group, and previous LTSA. RESULTS: Of the 10 427 respondents, 56.8% had experienced ≥1 chronic disease at baseline. The fully adjusted model showed an association between number of chronic diseases and risk of LTSA. This association was stronger among employees with poor work ability (either physical or mental). Compared to employees with no diseases and good physical work ability, the risk estimate for LTSA was 1.95 [95% confidence interval (95% CI) 1.50–2.52] for employees with ≥3 chronic diseases and good physical work ability, whereas it was 3.60 (95% CI 2.50–5.19) for those with ≥3 chronic diseases and poor physical work ability. Overall, the joint association of chronic disease and work ability with LTSA appears to be additive. CONCLUSIONS: Poor work ability combined with ≥1 chronic diseases is associated with high risk of long-term sickness absence in the general working population. Initiatives to improve or maintain work ability should be highly prioritized to secure sustainable employability among workers with ≥1 chronic diseases.

Although only a relatively small percentage of workers report sick for longer than a few days or weeks, it should be noted that long-term sickness absence constitutes the major part of the already substantial costs of sickness absence for companies and society (1). Moreover, long-term absence from work has been associated with a further detrimental impact on the mental health and wellbeing of the workers involved (2). These adverse effects, on top of the diminished social contacts with colleagues and coworkers and related alienation from work, often result in a return-to-work (RTW) barrier that grows as the duration since reporting sick from work increases. Moreover, the tendency of human beings to try to stick to the existing circumstances in uncertain situations (3), such as persisting sickness behavior, might further hamper the RTW process. Taken together, all these factors can lead to a downward spiral of deteriorating health and increased difficulties with reintegrating back into work. And as such, the process of long-term sickness absence can lead to permanent work disability. So its prevention should be an important component of occupational health policy, not only to reduce sickness-absence-related costs but also to improve workers’ health and eventually avoid work disability. Establishing evidence-based models that depict the process leading up to long-term sickness is a logical and important step in establishing and improving preventive strategies. Most of the formulated current sickness absence models have a strong focus on health (4, 5) but other factors – often work-related or addressing social protection – have also been included. The large, multinational study by Mortensen et al (6) in this issue of the Scandinavian Journal of Work, Environment and Health contributes to the Literature as it considers the relevance of a factor outside the domain of work and health, namely informal caregiving (ie, unpaid assistance with the daily activities of sick, disabled, or elderly relatives), as a predictor of long-term sickness absence. The authors report that informal caregiving was associated with a higher risk of sickness absence among women [hazard ratio (HR) 1.13, 95% CI 1.04–1.23]. Mortensen et al opted for the inclusion of their underlying theoretical causal model in the form of a directed acyclic graph (DAG), a graphical representation of the assumed causal associations introduced by Robins (7). A DAG not only provides relevant and graphically illustrated information on the underlying theoretical model, but it also guides the statistical analyses and selection of potential confounders, as well as possibly preventing the reporting of spurious associations due the inclusion of colliding factors. A stimulating and helpful discussion for further use of the DAG, and its associated collider bias, can be found in the work of Glymour et al (8), for example. As presented by Mortensen et al (6), the DAG might be the starting point for others to discuss and elaborate on models of long-term sickness absence, and Scand J Work Environ Health might be a platform to facilitate and document this process. As a starting point for the discussion on the predictive models for long-term sickness absence, there are two relevant issues that remain undervalued and can be illustrated by Mortensen et al’s findings. The first is that cultural and legal differences potentially have a strong mediating effect on the reported ­associations with long-term sickness absence. For example, with regards to informal caregiving, not only do legal differences exist – as the authors mention (6) – but cultural differences can also be observed in the expectancies and perception of caregiving roles, and these might add to the considerable differences between various national and cultural groups. Note that one might assume these disparities are further amplified by differences in (expected) gender/social roles in both the informal caregiving as well as work. So a spectrum of legal and cultural differences might add to the possible explanations for the noticeable divergence in the reported associations between the different cohorts included in the Mortensen et al study (6). Moreover, the flexibility of working time and provisions to enable or support caregiving (as facilitated by the employer through legislation or labor agreements) can differ extensively between employers, trades, sectors, and countries, and, as such, might have an additional modifying impact on the association between caregiving, job strain and long-term sickness absence, which necessitates the development of more elaborate sickness absence models. A second issue relates to the presented causal mode. The effect of job strain and informal long-term sickness absence caregiving are indicated as part of the pathway via the deterioration of health. But the impact of many factors (in or outside work) on long-term sickness absence do not necessarily follow the pathway directly from health deterioration to sickness absence. As indicated by Wikman et al (9), other factors beyond health can be associated with long-term sickness absence. For example, Benavides (4) has emphasized the role of policies and job security. Furthermore, in some cases, sickness absence can also be employed as a coping mechanism, for example to cope with demanding conflicts between work and family (10) where informal caregiving, as studied by Mortensen (6), might be an important factor necessitating sickness absence as a way to cope with fluctuations in demands of the caregiving role. In that respect, health should be regarded as only one of the many factors leading up to sick leave. And as such it has been often noted that participation problems (such as sickness absence) may originate from a specific disease, but – in a clinical context – it is often observed that individuals with exactly the same injury or pathology will have widely differing responses to their symptoms and show disparities in sickness absence and productivity (11). This means that not only work-related factors but also personal, contextual and other non-work related factors (such as caregiving roles) can all be relevant in explaining these differences (12). A model which might be a useful framework for addressing the complex pathway towards long-term sickness absence could be based on the International Classification of Functioning (ICF) (13). Heerkens et al (14) have described a way to incorporate the complex role of work-related factors in this model to better understand the broad concept of health, which also includes functioning (14). Due to the graying of the working populations in many western countries, the process where the focus within occupational health should shift towards the participation of workers, with or without an illness, becomes even more important in light of the increasing number of workers with a chronic health condition (15). It is one thing to elaborate and establish evidence-based models to explain long-term sickness absence risk, but quite another to translate and integrate this knowledge into successful preventive strategies. Until now, many preventive actions addressing sickness absence have focused on health protection and disease promotion by addressing health and work-related factors. However, there might be substantial room for improvement when factors beyond disease and illness, such as personal and (work-related) environmental factors, are also considered for preventive action. Identifying factors causally associated with the increased risk of long-term sickness absence is therefore an important starting point in developing targeted interventions. Knowing causal risk factors, however, is not enough to guide preventive interventions as identified risk factors might be impossible or very hard to address or modify. One such factor could be informal caregiving, which Mortensen and colleagues have shown to be related to long-term sickness absence (6), but is probably hard to tackle directly in preventive strategies for long-term sickness absence. Another preventive approach, based on the principles of indicated prevention, might successfully use information on a broad spectrum of risk factors. To date, most efforts to address long-term sickness absence within occupational health concern ­primary prevention and optimizing the RTW process. As indicated prevention follows a different strategy, it might be of additional added value. For example, high-risk workers can be detected using a screening instrument, based on prediction models, and subsequently offered a specific intervention before sickness absences occurs. Taimela et al (16) found that indicated prevention can be successful in preventing sickness absence in their study of workers with a combination of health- and workability-related issues who were offered an occupational health intervention. And, in an earlier study, we have shown that the inclusion of private and contextual factors is of substantial added value for the development of models predicting whether a worker reports sick for >28 days or not (17). For these comprehensive prediction models, it has been shown that the risk of long-term sickness absence in identified, high-risk workers can successfully be reduced (18, 19). Mortensen et al’s study (6) reinforces the importance of including factors outside health, work and workability when considering the prediction of long-term sickness. And this in turn might lead to further optimization and broader implementation of preventive programs to reduce long-term sickness absence and as such contribute to a healthy and productive workforce. Furthermore, such an approach based on indicated prevention can also contribute to improved labor participation of workers with chronic conditions. Although contextual factors have been considerably less-well studied, they can nevertheless provide crucial information on the actions needed to increase the participation of older workers in working life and prevent work disability (15, 20). To conclude, the study of Mortensen et al (6) can be regarded as an essential step in the unravelling of the complex pathway towards the improved functioning of workers and the prevention of long-term sickness absence and eventually also work disability.

OBJECTIVES: The aim of this study was to investigate the individual, joint and interactive effects of job strain and informal caregiving on long-term sickness absence with special attention to gender differences. METHODS: The study comprised a prospective cohort study of 6798 working adults from France, 14 727 from Finland, and 5275 from the UK. A total of 26 800 participants, age 52 (interquartile range 47–56) years participated in the study. Job strain was assessed using the demand–control model. Informal caregiving was defined as care for a sick, disabled, or elderly person. Long-term sickness absence spells defined as absence >14 consecutive days were registered during two years follow-up. We used recurrent-events Cox regression in random-effects meta-analyses. RESULTS: A total of 12% men and 21% women had ≥1 long-term sickness absence spell. Among women, both high job strain [hazard ratio (HR) 1.08, 95% confidence interval (95% CI) 1.00–1.17] and informal caregiving (HR 1.13, 95% CI 1.04–1.23) were associated with a modestly higher risk of sickness absence. Women doubly exposed to high job strain and informal caregiving also showed a moderately higher risk of sickness absence (HR 1.20, 95% CI 1.03–1.41), but the excess risk was not more than expected from joint exposure to caregiving and job strain. Neither job strain nor informal caregiving predicted sickness absence for men. CONCLUSIONS: High job strain and informal caregiving predicted long-term sickness absence among women. However there was no noticeable interaction in the presence of both exposures.

Background: Increasing rates of long-term sickness absence are a worldwide problem. Belgium is the first country in Europe that aims to screen its entire population of sick leavers (sick leave > 6 weeks) for the risk of long-term sickness absence in order to focus resources on the high-risk group and to provide adequate return-to-work support. Our aim was to investigate content and face validity of a newly designed questionnaire (Quickscan) using item prioritization of patients and professionals in the field of long-term sickness absence. This questionnaire was developed based on a review of the literature and existing instruments (Goorts et al, J Public Health Res 7:1419, 2018).Methods: Qualitative data were collected using the nominal group technique. The data were gathered exploring factors that influence return-to work restrictions or opportunities.Results: Participants indicated 20 out of 21 of the questionnaire factors as important reasons that might influence the return-to-work process. Additionally, 16 factors were discussed that were not yet included in the Quickscan but that might provide useful information on return-to-work issues, according to the participants. In the prioritization of items, we found considerable diversity among participants.Conclusions: Our findings demonstrate the validity of the Quickscan items to ask patients about important return-to-work barriers or opportunities. However, additional factors were identified that may improve the assessment of risk for long-term sickness absence. [ABSTRACT FROM AUTHOR]

Objectives: The aims were to examine (1) the prospective association between perceived stress and sickness absence, and if this association (2) differed by sex, and (3) was stronger when only long-term sickness absence (≥ 31 days) instead of all-length sickness absence (≥ 1 day) was included. Moreover, different cut-points for the length of the sickness absence periods were applied. Methods: We followed respondents (10,634 women and 7161 men) from the 'Work Environment and Health in Denmark' 2014-survey for up to 18 months in the 'Register of Work Absences' from Statistics Denmark. Perceived stress was measured by a single question: "In the last 2 weeks, how often have you felt stressed?" We used Cox-regression with repeated events, adjusted for age, sector, education, and previous sickness absence. Results: The hazard ratio (HR) for all-length sickness absence (≥ 1 day) for "Often/Always" stress compared to "Seldom/Never" stress was statistically significant among both men (HR = 1.25 [1.13–1.38]) and women (HR = 1.43 [1.34–1.51]). The HR was statistically significant for women (HR = 2.26 [1.89–2.70]), but not for men (HR = 1.22 [0.86–1.73]), when the analyses were restricted to long-term sickness absence (≥ 31 days). The sex-difference was statistically significant. Additional analyses with cut-points at ≥ 2, ≥ 4, ≥ 6, ≥ 8, ≥ 11, ≥ 15, ≥ 20, and ≥ 25 sickness absence days showed that among women, the HR increased gradually with increasing lengths of the sickness absence periods. Conclusions: The prospective association of perceived stress with risk of sickness absence was stronger among women than men. Among women, perceived stress was more strongly associated with long-term sickness absence than with all-length sickness absence. [ABSTRACT FROM AUTHOR]

While there is increasing evidence that graded return-to-work is an effective tool for the rehabilitation of sick-listed workers, little is known on the optimal timing and level of grading in return-to-work trajectories. We use administrative data from a Dutch private workplace reintegration provider to fill this gap. In order to correct for the selection bias inherent to the evaluation of activation strategies, we exploit the discretionary room of the case managers in setting up treatment plans. We find that graded return-to-work has the potential to speed up the recovery process, but does not necessarily help rehabilitate workers who would otherwise have not rehabilitated. Work resumption can be achieved faster when graded return-to-work is started earlier and may permanently increase when started at a higher rate of work resumption. These findings however do not hold for individuals who have problems related to mental health. [ABSTRACT FROM AUTHOR]

Background: Stress-related disorders are leading causes of long-term sickness absence (SA) and there is a great need for decision support tools to identify patients with a high risk for long-term SA due to them.Aims: To develop a clinically implementable prediction model for the duration of SA due to stress-related disorders.Methods: All new SA spells with F43 diagnosis code lasting >14 days and initiated between 2010-01-01 and 2012-06-30 were identified through data from the Social Insurance Agency. Information on baseline predictors was linked on individual level from other nationwide registers. Piecewise-constant hazard regression was used to predict the duration of the SA. Split-sample validation was used to develop and validate the model, and c-statistics and calibration plots to evaluate it.Results: Overall 83,443 SA spells, belonging to 77,173 individuals were identified. The median SA duration was 55 days (10% were >365 days). Age, sex, geographical region, employment status, educational level, extent of SA at start and SA days, outpatient healthcare visits, and multi-morbidity in the preceding 365 days were selected to the final model. The model was well calibrated. The overall c-statistics was 0.54 (95% confidence intervals: 0.53-0.54) and 0.70 (95% confidence intervals: 0.69-0.71) for predicting SA spells >365 days.Limitations: The heterogeneity of the F43-diagnosis and the exclusive use of register-based predictors limited our possibility to increase the discriminatory accuracy of the prediction.Conclusion: The final model could be implementable in clinical settings to predict duration of SA due to stress-related disorders and could satisfyingly discriminate long-term SA. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to examine the prospective associations between baseline job strain and 10-year cumulative incidence of longterm sickness absence (LTSA) in the German workforce. Methods: This study used longitudinal data from the 2001 to 2011 waves of The German Socio-Economic Panel (SOEP) (n = 9794). Kaplan-Meier survival curves and Cox proportional hazard regression models were used to examine the prospective association between job strain and incidence of LTSA. Results: High strain [hazard ratio (HR) = 1.28, 95% confidence interval (95% CI) = 1.12 to 1.46] and passive jobs (H R = 1.14, 95% C I= 1.01 to 1.30) were significantly associated with LTSA after full adjustment for covariates, with greater risk in the older participants (>45) in passive (HR = 1 .3 3, 95% CI = 1 .0 8 to 1.63) and high strain (HR = 1.56, 95% CI = 1.27 to 1.92) jobs. Conclusion: Jobs with low control over work were associated with LTSA in German workers. More studies using longitudinal employment data, and more detailed job strain measures are warranted. [ABSTRACT FROM AUTHOR]

OBJECTIVES: Sleep problems and adverse psychosocial working conditions are associated with increased risk of long-term sickness absence. Because sleep problems affect role functioning they may also exacerbate any effects of psychosocial working conditions and vice versa. We examined whether sleep problems and psychosocial working conditions interact in their associations with long-term sickness absence. METHODS: We linked questionnaire data from participants to two surveys of random samples of the Danish working population (N=10 752) with registries on long-term sick leave during five years after questionnaire response. We defined sleep problems by self-reported symptoms and/or register data on hypnotics purchases of hypnotics. Psychosocial working conditions included quantitative and emotional demands, influence, supervisor recognition and social support, leadership quality, and social support from colleagues. Using time-to-event models, we calculated hazard ratios (HR) and differences and examined interaction as departure from multiplicativity and additivity. RESULTS: During 40 165 person-years of follow-up, we identified 2313 episodes of long-terms sickness absence. Sleep problems predicted risk of long-term sickness absence [HR 1.54, 95% confidence interval (95% CI) 1.38–1.73]. This association was statistically significantly stronger among participants with high quantitative demands and weaker among those with high supervisor recognition (P

Abstract Background The current understanding of the relationship between unwanted sexual attention at work and long-term sickness absence (LTSA) is limited for three reasons: 1) the under-researched role of unwanted sexual attention perpetrated by individuals outside the work organization; 2) a widespread use of self-reported measures of sickness absence, with an unclear identification of sickness absence episodes of long duration; 3) the cross-sectional design of most existing studies. The aim of this study was therefore to investigate the relationship between self-reported unwanted sexual attention at work and subsequent LTSA (≥3 weeks), stratifying by gender and source of exposure (i.e., colleagues, managers and/or subordinates vs. clients/customers/patients). Methods This prospective study is based on a pooled sample of 14,605 employees from three Danish surveys conducted in 2000, 2004 and 2005, providing a total of 19,366 observations. A single questionnaire-based item was used to assess exposure to unwanted sexual attention. The pooled dataset was merged with Danish register data on LTSA. The risk of first-onset episode of LTSA (up to 18 months after baseline) in connection with unwanted sexual attention was examined using Cox proportional hazards models. We estimated Hazard ratios (HR) and 95 % confidence intervals (95 % CI) adjusted for age, influence at work, work pace, occupational group and mode of data collection. We also adjusted for repeated measures from individual respondents by stratifying the Cox models by wave of survey. Results Unwanted sexual attention from colleagues, managers and/or subordinates predicted LTSA among men (HR 2.66; 95 % CI 1.42-5.00). Among women, an elevated but non-statistically significant risk of LTSA (HR 1.18; 95 % CI 0.65-2.14) was found. Unwanted sexual attention from clients/customers/patients did not predict LTSA, neither among men nor among women. Conclusions The findings indicate a significantly elevated risk of LTSA, among men only, in relation to exposure to unwanted sexual attention from colleagues, managers and/or subordinates. This study therefore suggests both individual and organizational costs associated with unwanted sexual attention at work. Due to the low prevalence of unwanted sexual attention, larger studies with more statistical power are needed to confirm (or disconfirm) the present findings.

Background: Long-term sickness absence is a growing concern in Belgium and other European countries. Since 2017, Belgian physicians of the sickness funding organisations are required to assess the re-integration possibilities within the first two months of sickness absence. Given the shortage of physicians in the assessment of work disability and the growing number of people in sickness absence, there is a need for a triage tool, allowing to assign return-to work support to patients having a high-risk profile not to resume work. Methods/design: The current study comprises a comprehensive validation process of a screening tool that supports Belgian physicians in guiding people back to work. The study consists of a theoretical construct validation (face validity and content validity), and an empirical construct validation (concurrence validity, factorial validity, predictive validity, hypothesis testing validity and known- group validity). Expected impact of the study for Public Health: The screening instrument assessing the risk for long-term sickness absence is a tool developed to support physicians who work for sickness funds and for occupational health and safety organisations. Both professionals play an important role in the return to work process and the prevention of long-term sickness absence. The screening tool aims at making a distinction between people who will resume their work independently and people who will need support to do so. Generation of this prediction model will help physicians to focus effort and resources in the high-risk group. Results may also help understand the relationship between the biopsychosocial model and long-term sick-leave.

OBJECTIVES: The aim of this study was to investigate the Work Ability Index (WAI) as a tool to screen for risk of different durations of long-term sickness absence (LTSA) among manual and office workers. METHODS: The prospective study comprised a cohort of 3049 (1710 manual and 1339 office) workers participating in occupational health surveys between 2010–2012. The survey date was set as baseline and incident LTSA episodes of different duration (>14, >28, >42, >60, and >90 days) were retrieved from an occupational health register in the year following the survey. Baseline WAI scores were associated with LTSA episodes occurring (no/yes) during one-year follow-up by logistic regression analysis in a random sample (N=1000) of the cohort. Predictions of LTSA risk were then validated among the workers not included in the random sample. RESULTS: The odds of LTSA episodes at follow-up decreased with increasing baseline WAI scores (ie, better work ability). The WAI accurately predicted the risk of future LTSA episodes >28, >42, >60 days, but over-predicted the risk of LTSA episodes >14 and >90 days. The WAI discriminated between workers at high and low risk of LTSA episodes of all durations. Office workers had higher WAI scores than manual workers. Consequently, false-negative rates were higher among office workers and false-positive rates were higher among manual workers at each WAI cut-off point. CONCLUSION: The WAI could be used to screen both manual and office workers for risk of LTSA episodes lasting >28, >42, >60 days. WAI cut-off points depend on the objectives of screening and may differ for manual and office workers.

This study investigates whether the risk of long-term sickness absence among professionals depends upon their socioeconomic position and whether they do caring work. It also explores whether the variation in risk can be attributed to sociodemographic and labor market factors. The event history analysis is based on longitudinal register data from the entire population of Norwegian professionals from 2003 to 2013. The results showed that both low socioeconomic position and being a care worker was associated with long-term sickness absence. The group with the highest risk was professionals of lower socioeconomic position doing caring work. While the results were similar for men and women, the relative risk of sickness absence was higher for male professionals. Sociodemographic and labor market factors partly explained the observed association, and even more so for men. Several candidate explanations for the remaining association as well as potential implications for social policy are discussed. [ABSTRACT FROM AUTHOR]

Aims: The aim of this study was to explore the relationship between leisure-time physical inactivity and long-term sickness absence in a representative sample of individuals aged 16-54 years, within the labour market and in good health. It was hypothesised that physically inactive individuals have a higher risk of long-term sickness absence and longer duration of sickness absence. Methods: The study population was identified from the National Health and Morbidity Survey, 2010. Weekly data on long-term sickness absence were obtained from the National Register on Social Transfer Payments (the DREAM registry). The association of incidence and duration of long-term sickness absence with physical inactivity was explored using logistic and Poisson regression. Data were fitted to models with levels of physical activity, demographic, social and lifestyle characteristics as independent variables. A combined hurdle model was used to estimate the difference in mean number of absence weeks. Results: Logistic regression showed that physically inactive individuals had a 27% higher incidence of long-term sickness absence compared with physically active individuals. The Poisson regression showed that long-term sickness absence was only slightly shorter (1 week less) for moderately active individuals compared with inactive individuals. The hurdle model estimated longer absence periods for inactive individuals (additional 2.5 weeks) in comparison with moderately and highly active individuals. Conclusions: The study showed that physically inactive individuals have a higher incidence of long-term absence and that physically inactive individuals have longer periods with sickness absence than moderately and highly active individuals. When adjustments for social and health behaviour were included, the estimated associations became statistically insignificant. [ABSTRACT FROM AUTHOR]

Objectives This study aimed to develop and validate a risk prediction model for long-term sickness absence. Methods Survey responses on work- and lifestyle-related questions from 65 775 public-sector employees were linked to sickness absence records to develop a prediction score for medically-certified sickness absence lasting >9 days and ≥90 days. The score was externally validated using data from an independent population-based cohort of 13 527 employees. For both sickness absence outcomes, a full model including 46 candidate predictors was reduced to a parsimonious model using least-absolute-shrinkage-and-selection-operator (LASSO) regression. Predictive performance of the model was evaluated using C-index and calibration plots. Results Variance explained in ≥90-day sickness absence by the full model was 12.5%. In the parsimonious model, the predictors included self-rated health (linear and quadratic term), depression, sex, age (linear and quadratic), socioeconomic position, previous sickness absences, number of chronic diseases, smoking, shift work, working night shift, and quadratic terms for body mass index and Jenkins sleep scale. The discriminative ability of the score was good (C-index 0.74 in internal and 0.73 in external validation). Calibration plots confirmed high correspondence between the predicted and observed risk. In >9-day sickness absence, the full model explained 15.2% of the variance explained, but the C-index of the parsimonious model was poor (<0.65). Conclusions Individuals' risk of a long-term sickness absence that lasts ≥90 days can be estimated using a brief risk score. The predictive performance of this score is comparable to those for established multifactorial risk algorithms for cardiovascular disease, such as the Framingham risk score. [ABSTRACT FROM AUTHOR]

Background: Long-term sickness absence is a growing concern in Belgium and other European countries. Since 2017, Belgian physicians of the sickness funding organisations are required to assess the re-integration possibilities within the first two months of sickness absence. Given the shortage of physicians in the assessment of work disability and the growing number of people in sickness absence, there is a need for a triage tool, allowing to assign return-to work support to patients having a high-risk profile not to resume work. Methods/design: The current study comprises a comprehensive validation process of a screening tool that supports Belgian physicians in guiding people back to work. The study consists of a theoretical construct validation (face validity and content validity), and an empirical construct validation (concurrence validity, factorial validity, predictive validity, hypothesis testing validity and known- group validity). Expected impact of the study for Public Health: The screening instrument assessing the risk for long-term sickness absence is a tool developed to support physicians who work for sickness funds and for occupational health and safety organisations. Both professionals play an important role in the return to work process and the prevention of long-term sickness absence. The screening tool aims at making a distinction between people who will resume their work independently and people who will need support to do so. Generation of this prediction model will help physicians to focus effort and resources in the high-risk group. Results may also help understand the relationship between the biopsychosocial model and long-term sick-leave. [ABSTRACT FROM AUTHOR]

Aim: To examine if non-bullied employees at work units (WUs) with workplace bullying have more long-term sickness absence (LTSA) than employees in non-bullying WUs. Methods: We included 7229 public health employees from 302 WUs and 3158 responders to a questionnaire on working conditions and health in 2007. WUs were classified into three categories of WUs; (1) no bullying (0% bullied); (2) moderate prevalence of bullying (less than 10% bullied); and (3) high prevalence of bullying (more than or equal to 10% bullied). LTSA (more than or equal to 30 consecutive days of sickness absence) during the following 2 years was obtained by linkage to the Danish register of sickness absence compensation benefits and social transfer payments. Results: Non-bullied coworkers in WUs, where bullying was reported had 15% to 22% more LTSA compared with nonbullying WUs. Conclusion: Workplace bullying may be associated with LTSA in the entire WU. [ABSTRACT FROM AUTHOR]