COVID-19 and Sick Leave: An Analysis of the Ibermutua Cohort of Over 1,651,305 Spanish Workers in the First Trimester of 2020

Objectives: The worldwide SARS-COV2 pandemic has impacted the health of workers and companies. The aim is to quantify it according to sick leave. Methods: Using ICD-9 codes, we analyzed Ibermutua records of all sick leaves during the first trimester of 2020, compared to during the same months of 2017, 2018, and 2019. We stratified the analysis by causes, patient sex, activity sectors, and regional data. All sick leaves were adjusted by the number of Ibermutua-affiliated persons in each period. Results: In March 2020, there was an unprecedented (116%) increase in total sick leaves, mainly due to infectious and respiratory diseases. Men and women were equally affected. All activity sectors were impacted, with the highest increase (457%) observed among health-related workers, especially due to contagious disease. The incidences of sick leaves were heterogeneous among different regions. Cost-analysis of sick leaves during the first trimester of 2020 compared with in previous years showed 40.3% increment (mean 2,813 vs. 2,005 euro per 100 affiliated workers). Conclusions: The SARS-COV2 pandemic is having a huge impact on workers' health, as shown by data regarding sick leaves in March 2020. This is associated with greater economic burden for companies, both due to the cost associated with sick leaves and the losses in productivity due to confinement

Influence of high cardiovascular risk in asymptomatic people on the duration and cost of sick leave: results of the ICARIA study.

AIMS: We investigated the potential influence of a moderate-to-high cardiovascular (CV) risk (CVR) (defined as a Systematic COronary Risk Evaluation model, or SCORE ≥ 4%), in the absence of an established CV disease, on the duration and cost of CV and non-CV sick leave (SL) resulting from common and occupational accidents or diseases. METHODS AND RESULTS: We conducted a prospective cohort study on 690 135 workers with a 1-year follow-up and examined CV- and non-CV-related SL episodes. To obtain baseline values, CVR factors were initially assessed at the beginning of the year during routine medical examination. The CVR was calculated with the SCORE charts for all subjects. Moderate-to-high CVR was defined as SCORE ≥ 4%. A baseline SCORE ≥ 4% was associated with a higher risk for long-term CV and non-CV SL, as revealed by follow-up assessment. This translated into an increased cost, estimated at euro5 801 464.18 per year. Furthermore, pharmacological treatment for hypertension or hyperlipidaemia was significantly associated with longer SL duration. CONCLUSION: Moderate-to-high CVR in asymptomatic subjects was significantly associated with the duration and cost of CV and non-CV SL. These results constitute the first body of evidence that the SCORE charts can be used to identify people with a non-established CV disease, which might ultimately translate into more lost workdays and therefore increased cost for society

Occupation-Related Differences in the Prevalence of Metabolic Syndrome

OBJECTIVE—To investigate the prevalence of metabolic syndrome in the Spanish working population and determine how the prevalence varies according to occupation and sex

Measuring multimorbidity in a working population: the effect on incident sickness absence.

PURPOSE: Multimorbidity research typically focuses on chronic and common diseases in patient and/or older populations. We propose a multidimensional multimorbidity score (MDMS) which incorporates chronic conditions, symptoms, and health behaviors for use in younger, presumably healthier, working populations. METHODS: Cross-sectional study of 372,370 Spanish workers who underwent a standardized medical evaluation in 2006. We computed a MDMS (range 0-100) based on the sex-specific results of a multicorrespondence analysis (MCA). We then used Cox regression models to assess the predictive validity of this MDMS on incident sickness absence (SA) episodes. RESULTS: Two dimensions in the MCA explained about 80 % of the variability in both sexes: (1) chronic cardiovascular conditions and health behaviors, and (2) pain symptoms, in addition to sleep disturbances in women. More men than women had at least one condition (40 vs 15 %) and two or more (i.e., multimorbidity) (12 vs 2 %). The MDMS among those with multimorbidity ranged from 16.8 (SD 2.4) to 51.7 (SD 9.9) in men and 18.5 (SD 5.8) to 43.8 (SD 7.8) in women. We found that the greater the number of health conditions, the higher the risk of SA. A higher MDMS was also a risk factor for incident SA, even after adjusting for prior SA and other covariates. In women, this trend was less evident. CONCLUSIONS: A score incorporating chronic health conditions, behaviors, and symptoms provides a more holistic approach to multimorbidity and may be useful for defining health status in working populations and for predicting key occupational outcomes.This study was partially supported by the Plan Estatal de I+D+i 2013–2016 and the ISCIII-Subdirección General de Evaluación y Fomento de la Investigación (Grant PI13/00749) and FEDER, by the CIBER of Epidemiology and Public Health in Spain and by discretionary funds from The University of Texas School of Public Health (UTSPH), under a joint Letter of Agreement between Universitat Pompeu Fabra and the UTSPH