Background: The Work Ability Index (WAI) identifies non-sicklisted workers at risk of future long-term sickness absence (LTSA). The WAI is a complicated instrument and inconvenient for use in large-scale surveys. We investigated whether shortened versions of the WAI identify non-sicklisted workers at risk of LTSA.
Methods: Prospective study including two samples of non-sicklisted workers participating in occupational health checks between 2010 and 2012. A heterogeneous development sample (N= 2899) was used to estimate logistic regression coefficients for the complete WAI, a shortened WAI version without the list of diseases, and single-item Work Ability Score (WAS). These three instruments were calibrated for predictions of different (≥2, ≥4 and ≥6 weeks) LTSA durations in a validation sample of non-sicklisted workers (N= 3049) employed at a steel mill, differentiating between manual (N= 1710) and non-manual (N= 1339) workers. The discriminative ability was investigated by receiver operating characteristic analysis.
Results: All three instruments under-predicted the LTSA risks in both manual and non-manual workers. The complete WAI discriminated between individuals at high and low risk of LTSA ≥2, ≥4 and ≥6 weeks in manual and non-manual workers. Risk predictions and discrimination by the shortened WAI without the list of diseases were as good as the complete WAI. The WAS showed poorer discrimination in manual and non-manual workers.
Conclusions: The WAI without the list of diseases is a good alternative to the complete WAI to identify non-sicklisted workers at risk of future LTSA durations ≥2, ≥4 and ≥6 weeks.
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http://dx.doi.org/10.1093/eurpub/ckv198 | DOI Listing |
Langenbecks Arch Surg
January 2025
Stockholm University, Stockholm, Sweden.
Introduction: Imposter syndrome (IS) refers to the psychological experience of imagining that one's achievements do not originate from one's own authentic competence. Surgeons are constantly faced with life-threatening decisions and can easily feel inadequate or insecure despite their years of training and experience. Imposter syndrome can distress surgeons at all career stages and has profound psychological and professional consequences.
View Article and Find Full Text PDFEur J Prev Cardiol
January 2025
Department of Occupational and Environmental Medicine, Bispebjerg Hospital, Copenhagen, Denmark.
Aims: Exposure to air pollution including diesel engine exhaust (DEE) is associated with increased risk of acute myocardial infarction (AMI). Few studies have investigated the risk of AMI according to occupational exposure to DEE. The aim of this study was to evaluate the association between occupational exposure to DEE and the risk of first-time AMI.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Indiana University School of Medicine, 410 W 10th St, Suite 2000A, Indianapolis, IN, 46202, USA.
Background: Individuals with Sickle Cell Disease (SCD) are a minoritized and marginalized community that have disparate health outcomes as a result of systemic racism and disease-related stigma. The purpose of this study was to determine the psychosocial risk factors for families caring for children with SCD at a pediatric SCD center through use of the Psychosocial Assessment Tool (PAT), a validated caregiver-report screener.
Methods: The PAT was administered annually during routine clinical visits and scored by the SCD Social Worker to provide tailored resources to families.
J Gen Intern Med
January 2025
Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Background: COVID-19 increased the burden of childcare on parents, leaving women vulnerable to increased disparities in the division of domestic labor. Women healthcare workers may be at heightened risk of worsening gender parity in the workplace as a result.
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Sci Data
January 2025
Division of Trauma and Burn Surgery, Children's National Hospital, Washington, DC, 20010, USA.
Proper personal protective equipment (PPE) use is critical to prevent disease transmission to healthcare providers, especially those treating patients with a high infection risk. To address the challenge of monitoring PPE usage in healthcare, computer vision has been evaluated for tracking adherence. Existing datasets for this purpose, however, lack a diversity of PPE and nonadherence classes, represent single not multiple providers, and do not depict dynamic provider movement during patient care.
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