As disasters increase due to climate change, population density, epidemics, and technology, information is needed about postdisaster consequences for people\'s mental health and how stress-related mental disorders affect multiple spheres of life, including labor-market attachment. We tested the causal hypothesis that individuals who developed stress-related mental disorders as a consequence of their disaster exposure experienced subsequent weak labor-market attachment and poor work-related outcomes. We leveraged a natural experiment in an instrumental variables model, studying a 2004 fireworks factory explosion disaster that precipitated the onset of stress-related disorders (posttraumatic stress disorder, anxiety, and depression) among individuals in the local community (N = 86,726). We measured labor-market outcomes using longitudinal population-level administrative data: sick leave, unemployment benefits, early retirement pension, and income from wages from 2007 to 2010. We found that individuals who developed a stress-related disorder after the disaster were likely to go on sickness benefit, both in the short- and long-term, were likely to use unemployment benefits and to lose wage income in the long term. Stress-related disorders did not increase the likelihood of early retirement. The natural experiment design minimized the possibility that omitted confounders biased these effects of mental health on work outcomes. Addressing the mental health and employment needs of survivors after a traumatic experience may improve their labor-market outcomes and their nations\' economic outputs.

OBJECTIVE: The aim of the study is to predict employees\' long-term sick leave due to psychiatric disorders using the national psychological stress screening program.
METHODS: University employees who took long-term psychiatric sick leave in 2016-2018 were assigned as cases. Those who were present at work and matched for sex, age, and occupation type were assigned as controls. Answers in a 57-item questionnaire were analyzed by multivariable regression, and a prediction model was developed. It was validated in cases and matched controls in 2019.
RESULTS: Six items were identified as independent predictors by multivariable regression and included in a prediction model. The area under the receiver-operating characteristics curve was 0.768 (95% confidence interval: 0.723-0.813). This finding was similar to that in the validation sample.
CONCLUSIONS: The performance of the prediction model was modest and the national Stress Check Program should be further refined.

Premature mortality, frequent relapse that easily leads to hospitalization, and discontinuous employment are key challenges for the treatment of schizophrenia. We evaluated risk factors for important clinical outcomes (death, hospitalization, resignation, and sick leave from work) in patients with schizophrenia in Japan.
A nested case-control study was conducted for patients with schizophrenia identified in a Japanese claims database. For each outcome, the case was matched with up to four controls of the same age, sex, index year, and enrollment status (employee or dependent family). Potential risk factors were defined by prescriptions or diagnoses within 3 months prior to or in the month of the event. The association among potential risk factors and each outcome was evaluated using multivariable conditional logistic regression analysis with stepwise variable selection.
The number of cases and eligible patients for each outcome were 144 and 38,451 (death), 1,520 and 35,225 (hospitalization), 811 and 18,770 (resignation), and 4,590 and 18,770 (sick leave), respectively. Depression was a risk factor for death (odds ratio [OR]: 1.92; 95% confidence interval [CI]: 1.12, 3.29), hospitalization (OR: 1.22; 95% CI: 1.05, 1.42), and sick leave from work (OR: 1.46; 95% CI: 1.36, 1.57). Other risk factors for death were hospitalization history, Charlson Comorbidity Index (CCI) score, and prescription for laxatives. Prescriptions for hypnotics, laxatives, and anticholinergics were risk factors for hospitalization. Prescriptions for hypnotics and anticholinergics were risk factors for resignation. CCI score, prescription for hypnotics, laxatives, and antidiabetics were risk factors for sick leave from work.
Our findings suggest that depression and some physical symptoms, such as constipation and extrapyramidal symptoms, are risk factors for important clinical outcomes in patients with schizophrenia. Attention should be paid to both depression and physical symptoms for the treatment of schizophrenia.

Air pollution\'s short-term effects on a wide range of health outcomes have been studied extensively, primarily focused on vulnerable groups (e.g., children and the elderly). However, the air pollution effects on the adult working population through sick leave have received little attention. This study aims to 1) estimate the associations between particulate matter ≤2.5 μm3 (PM2.5) and sick leave episodes and 2) calculate the attributable number of sick leave days and the consequential productivity loss in the City of Stockholm, Sweden. Individual level daily sick leave data was obtained from Statistics Sweden for the years 2011-2019. Daily average concentrations of PM2.5 were obtained from the main urban background monitoring station in Stockholm. A case-crossover study design was applied to estimate the association between short-term PM2.5 and onset of sick leave episodes. Conditional logistic regression was used to estimate the relative increase in odds of onset per 10 μg/m3 of PM2.5, adjusting for temperature, season, and pollen. A human capital method was applied to estimate the PM2.5 attributable productivity loss. In total, 1.5 million (M) individual sick leave occurrences were studied. The measured daily mean PM2.5 concentration was 4.2 μg/m3 (IQR 3.7 μg/m3). The odds of a sick leave episode was estimated to increase by 8.5% (95% CI: 7.8-9.3) per 10 μg/m3 average exposure 2-4 days before. Sub-group analysis showed that private sector and individuals 15-24 years old had a lower increase in odds of sick leave episodes in relation to PM2.5 exposure. In Stockholm, 4% of the sick leave episodes were attributable to PM2.5 exposure, corresponding to €17 M per year in productivity loss. Our study suggests a positive association between PM2.5 and sick leave episodes in a low exposure area.

BACKGROUND: This longitudinal register study aimed to investigate the association between gambling disorder (GD) and work disability and to map work disability in subgroups of individuals with GD, three years before and three years after diagnosis.
METHODS: We included individuals aged 19-62 with GD between 2005 and 2018 (n = 2830; 71.1% men, mean age: 35.1) and a matched comparison cohort (n = 28 300). Work disability was operationalized as the aggregated net days of sickness absence and disability pension. Generalized estimating equation models were used to calculate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for the risk of long-term work disability (>90 days of work disability/year). Secondly, we conducted Group-based Trajectory Models on days of work disability.
RESULTS: Individuals with GD showed a four-year increased risk of long-term work disability compared to the matched cohort, peaking at the time of diagnosis (AOR = 1.89; CI 1.67-2.13). Four trajectory groups of work disability days were identified: constant low (60.3%, 5.6-11.2 days), low and increasing (11.4%, 11.8-152.5 days), medium-high and decreasing (11.1%, 65.1-110 days), and constant high (17.1%, 264-331 days). Individuals who were females, older, with prior psychiatric diagnosis, and had been dispensed a psychotropic medication, particularly antidepressants, were more likely to be assigned to groups other than the constant low.
CONCLUSIONS: Individuals with GD have an increased risk of work disability which may add financial and social pressure and is an additional incentive for earlier detection and prevention of GD.

OBJECTIVE: This study evaluates the six-month cost-effectiveness and cost-benefits of motivational interviewing (MI) or a stratified vocational advice intervention (SVAI) added to usual case management (UC) for workers on sick leave due to musculoskeletal disorders.
METHODS: This study was conducted alongside a three-arm RCT including 514 employed workers on sick leave for at least 50% for ≥ 7 weeks. All participants received UC. The UC + MI group received two MI sessions, and the UC + SVAI group received 1-4 SVAI sessions. Sickness absence days, quality-adjusted life-years (QALYs), and societal costs were measured between baseline and six months.
RESULTS: Adding MI to UC, resulted in incremental cost-reduction of -2580EUR (95%CI -5687;612), and a reduction in QALYs of -0.001 (95%CI -0.02;0.01). Secondly, adding MI to UC resulted in an incremental cost-reduction of -538EUR (95%CI -1358;352), and reduction of 5.08 (95%CI -3.3;13.5) sickness-absence days. Financial return estimates were positive, but not statistically significant. Adding SVAI to UC, resulted in an incremental cost-reduction of -2899 EUR (95% CI -5840;18), and a reduction in QALYs of 0.002 (95% CI -0.02;0.01). Secondly, adding SVAI to UC resulted in an statistically significant incremental cost-reduction of -695 EUR (95% CI -1459;-3), and a reduction of 7.9 (95% CI -0.04;15.9) sickness absence days. Financial return estimates were positive and statistically significant. The probabilities of cost-effectiveness for QALYs were high for adding MI or SVAI (ceiling ratio 0.90).
CONCLUSIONS: In comparison to UC only, adding MI to UC tends to be cost-effective. Adding SVAI to UC is cost-effective for workers on sick leave due to musculoskeletal disorders.
BACKGROUND: ClinicalTrials.gov (identifier: NCT03871712).

OBJECTIVE: To determine the intermethod agreement of self-reported vs. register data of \'sickness absence\' (SA) and \'return to work\' (RTW) outcome measurements.
METHODS: We conducted a systematic review and a meta-analysis of studies reporting mean differences (MDs) and sensitivity and specificity for self-report vs. register data and an inductive analysis of the self-report question formulations. An information specialist searched Medline, Embase, PsycINFO for studies published from inception to November 2022. Screening and data extraction was done by two authors independently.
RESULTS: Twenty-three studies were included of which eighteen with an overall high risk of bias. Self-reports had a pooled MD of 1.84 SA days (95% confidence interval [CI] 0.26-3.41, I2 98%, 18 studies, 38,716 participants) compared to registries which varied among studies from 204 more to 17 days less. The median average sick leave in studies in the self-report group was 8 days (interquartile range 4-23 days). Being absent from work measured with self-report had a sensitivity of 0.83 (0.76-0.88 95% CI) and a specificity of 0.92 (0.88-0.94 95% CI) compared to registry data. The high heterogeneity amongst the studies could not be explained by recall time, gender, register type, prospective or retrospective self-reports, health problem, SA at baseline or risk of bias. Studies lacked standard outcome reporting, had unclearly formulated questions in self-reports and there was little information on the registers\' quality.
CONCLUSIONS: Current self-reports may differ from register-based absence data but in an inconsistent way. Due to inconsistency and high risk of bias the evidence is judged to be of very low certainty. Further research is needed to develop clear standard questions which can be used for SA and RTW self-reports. Quality of registers needs to be better evaluated. Percentage positive and negative agreement, MDs and 2 × 2 tables should be reported for studies investigating agreement between SA and RTW outcome measures.

BACKGROUND: Many ENT day-case procedures are performed on otherwise healthy individuals in employment. We hypothesised patients\' type of employment may affect the amount of time taken off work following such procedures. We aimed to disprove the hypothesis that there is no difference in time taken off between employees and self-employed individuals.
METHODS: We prospectively collected data on working adult patients undertaking elective day-case procedures at our department. Collected information included basic patient demographics and type of employment. A telephone call was made to collect data on actual period of time taken off work, 5-6 weeks later.
RESULTS: 23% of patients were self-employed, the rest were employees. 92% of self-employed patients received no pay during their time off. This compared with 10% of employed patients receiving no pay. 77% of employed patients received full pay. Although mean time taken off work was less if the patient was self-employed (9.5 days vs 10.63), this was not found to be statistically significant.
CONCLUSIONS: Our study demonstrates time off work following day-case ENT procedures places a higher financial burden on self-employed patients. This should inform patient counselling prior to operations. We demonstrated no statistically significant difference in time off work post-surgery between the 2 groups. There was a possible trend towards less time off in self-employed individuals and we speculate that further research with more patients may demonstrate a statistically significant difference in time off work. Perhaps most importantly is for doctors to consider how long an individual needs off after a given procedure, after taking account of their individual patient needs, rather than defaulting to a standard 2-weeks.

UNASSIGNED: Sickness absence is a phenomenon that has an impact on productivity, costs, and the working environment.
UNASSIGNED: To understand the patterns of sickness absence by gender, age, and occupation, as well as its association with cost in a service company.
UNASSIGNED: We conducted a cross-sectional study based on the sick leave data for 889 employees in one service company. The total number of sick leave notifications registered was 156. We performed a t-test for gender and a non-parametric test for the mean differences related to cost.
UNASSIGNED: We found that women registered more sick days than men, accounting for 68.59% of all sick days recorded. Absence due to sickness was more common in the age range of 35-50 years for both men and women. The mean number of days lost was 6, and the average cost was 313 U.S. dollars. Chronic disease was the main cause of sick leave, representing 66.02% of all absent days. There were no differences in the mean number of days of sick leave between men and women.
UNASSIGNED: There is no statistical difference in the number of days of sick leave between men and women. The costs of absence related to chronic disease are higher than those for other causes, so it is good practice to try developing health promotion programs in the workplace to prevent chronic disease in the working age population and reduce its associated costs.
UNASSIGNED: A licença médica é um fenômeno que afeta a produtividade, os custos e o ambiente de trabalho.
UNASSIGNED: O objetivo deste estudo é compreender os padrões de licença médica por sexo, idade, ocupação e sua relação com os custos de uma empresa de serviços.
UNASSIGNED: Realizamos um estudo transversal com base nos dados de licença médica de 889 funcionários de uma empresa de serviços. Registraram-se 156 notificações de licença médica. Realizamos um teste t por sexo e um teste não paramétrico para testar as diferenças médias relacionadas aos custos.
UNASSIGNED: Verificamos que as mulheres registraram mais dias de licença médica (68,59%) do que os homens. A licença médica foi mais comum na faixa etária de 35-50 anos, tanto para homens quanto para mulheres. O número médio de faltas foi de 6 dias e os custos médios foram de 313 dólares americanos. As doenças crônicas foram a principal causa de licença médica (66,02%). Não houve diferença da média de dias de licença médica entre homens e mulheres.
UNASSIGNED: Não houve diferença estatística de dias de licença médica entre homens e mulheres. Os custos de licença médica relacionados a doenças crônicas são mais altos do que os de outras causas, portanto constitui boa prática tentar desenvolver programas de promoção da saúde no ambiente de trabalho, para prevenir doenças crônicas na população economicamente ativa e reduzir seus custos associados.

To evaluate if adding motivational interviewing (MI) or a stratified vocational advice intervention (SVAI) to usual case management (UC), reduced sickness absence over 6 months for workers on sick leave due to musculoskeletal disorders.
We conducted a three-arm parallel pragmatic randomised controlled trial including 514 employed workers (57% women, median age 49 (range 24-66)), on sick leave for at least 50% of their contracted work hours for ≥7 weeks. All participants received UC. In addition, those randomised to UC+MI were offered two MI sessions from social insurance caseworkers and those randomised to UC+SVAI were offered vocational advice from physiotherapists (participants with low/medium-risk for long-term sickness absence were offered one to two sessions, and those with high-risk were offered three to four sessions).
Median sickness absence was 62 days, (95% CI 52 to 71) in the UC arm (n=171), 56 days (95% CI 43 to 70) in the UC+MI arm (n=169) and 49 days (95% CI 38 to 60) in the UC+SVAI arm (n=169). After adjusting for predefined potential confounding factors, the results showed seven fewer days in the UC+MI arm (95% CI -15 to 2) and the UC+SVAI arm (95% CI -16 to 1), compared with the UC arm. The adjusted differences were not statistically significant.
The MI-NAV trial did not show effect on return to work of adding MI or SVAI to UC. The reduction in sickness absence over 6 months was smaller than anticipated, and uncertain due to wide CIs.
NCT03871712.