Objective: This study provides the global-, regional- and country-level estimates on the work-related burden of diseases and accidents for 2019, including deaths, disability adjusted life years (DALY) and economic losses.
Methods: Data on occupational illnesses and injuries from international organizations, institutions, and public websites were used. Risk ratios (RR) and population attributable fractions (PAF) for the risk factor-outcome pairs were derived from the literature. Estimated mortality and DALY for a group of seven major diseases covering 120 risk-outcome pairs attributable to work were calculated for 181 countries.
Results: Globally, 2.9 million deaths were attributed to work, with 2.58 million deaths due to work-related diseases and 0.32 million related to occupational injuries. Globally, work-related diseases with a long latency period are increasing, while the number of occupational injuries has decreased. Work-related circulatory diseases were the major cause of 912 000 deaths globally, followed by 843 000 work-related malignant neoplasms. In high-income, American, Eastern European and Western Pacific World Health Organization (WHO) regions, however, work-related malignant neoplasms comprised the biggest disease group. DALY attributable to work were estimated to be 180 million in 2019, with an associated economic loss of 5.8% of global GDP. New estimates of psychosocial factors increased the global loss.
Conclusions: The burden of work-related diseases and injuries increased by 26% from 2.3 million annual deaths in 2014 to 2.9 million in 2019. The DALY attributable to work have also substantially increased from 123 million in 2014 to 180 million in 2019 (47% increase). We found large regional and country variations.
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http://dx.doi.org/10.5271/sjweh.4132 | DOI Listing |
PEC Innov
December 2024
Indiana University School of Medicine, Indianapolis, IN, USA.
Objective: Mailed letters to women identified as being at high-risk for developing breast cancer were not having the desired effect for encouraging appointments with prevention-focused providers at a large Midwest healthcare system. A partnership with communication scholars sought to revise the letter to increase awareness, intentions, and appointments.
Methods: Guided by the Extended Parallel Process Model, survey responses were collected from letter recipients over the course of two years, both pre and post letter revision.
J Gen Fam Med
January 2025
Background: Deprescribing is a critical component of clinical practice, especially in geriatric medicine. Nevertheless, the attributes of patients who are prepared for, interested in, and could potentially benefit from deprescribing have not been well examined. The Patient Perceptions of Deprescribing (PPoD) evaluates patients' overall readiness for deprescribing and is complemented by an 11-item validated short form (SF-PPoD).
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Baylor Scott and White Health, Fort Worth, USA.
Unlike other skin and soft tissue infections, necrotizing fasciitis (NF) is a rare and potentially life-threatening condition. It is usually caused by polymicrobial infections or monomicrobial gram-positive organisms, mainly and . Monomicrobial gram-negative () NF is a rare form of NF, primarily reported in patients with underlying comorbidities or immunocompromised states.
View Article and Find Full Text PDFCureus
December 2024
Biostatistics, The Oxford Center, Brighton, USA.
Using simulated data with duplicate observational data points, this research aims to highlight the notable efficiency of repeated measures analysis of variance (ANOVA) compared to one-way ANOVA as a more powerful statistical model. One of the principal advantages of repeated measures ANOVA is its design, in which each subject acts as their own control. This methodology allows for the statistical mitigation of individual differences among subjects, thereby reducing extraneous variability (noise) that can obscure the effects of the experimental conditions under investigation.
View Article and Find Full Text PDFMultiple physiological changes occur during the menstrual cycle; many are attributed to fluctuations in estrogen, luteinizing hormone, follicle-stimulating hormone, and progesterone. These hormones differentially affect the menstrual cycle's follicular, ovulation, and luteal phases. Skin is one of the organs affected by changes in a woman's menstrual cycle.
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