Rapid office strain assessment (ROSA): Cross cultural validity, reliability and structural validity of the Brazilian-Portuguese version.

Forty-three occupational health professionals (observers) and 90 workers were enrolled in this study to perform the cross-cultural adaptation of the Rapid Office Strain Assessment into Brazilian Portuguese (ROSA-Br) and evaluate its psychometric properties. After cross-cultural adaptation, the measurement properties were checked in three stages: study 1: pre-testing (27 observers rated 15 office worker videos), study 2: intra- and inter-observer reliability (26 observers rated 15 office worker videos), and study 3: validity and accuracy of ROSA-Br final scores (90 office workers). For the ROSA scores, acceptable intraclass correlation coefficients were found for 75% and 86% of the intra-observer reliability comparisons for non-trained and trained observers, respectively, and for 100% of the inter-observer reliability comparisons (0.

Differences in ergonomic and workstation factors between computer office workers with and without reported musculoskeletal pain.

Background: Some studies have suggested a causal relationship between computer work and the development of musculoskeletal disorders. However, studies considering the use of specific tools to assess workplace ergonomics and psychosocial factors in computer office workers with and without reported musculoskeletal pain are scarce.

Objective: The aim of this study was to compare the ergonomic, physical, and psychosocial factors in computer office workers with and without reported musculoskeletal pain (MSP).

[Spatial analysis of infant mortality and the adequacy of vital information: a proposal for defining priority areas].

This is an ecological study that sought to assess the relationship between the spatial clustering of infant mortality and the adequacy of vital information. The adequacy of information from the Brazilian Live Birth Database (SINASC) and Mortality Database (SIM) were examined using a validated method that uses five indicators calculated by municipality and population size. Municipalities were classified as either having consolidated data, data currently being consolidated, or not having consolidated data.