Musculoskeletal disorders and functional characteristics of the neck and shoulder: Comparison between office workers using a laptop or desktop computer.

Background: Using a laptop for work is gaining rapid popularity, but there is little evidence of how it influences musculoskeletal disorders (MSDs) and functional characteristics of the neck and shoulder area.

Objective: This study aimed to compare the prevalence of upper body MSDs and functional characteristics of the neck between office workers using a laptop or desktop computer.

Methods: A total of 110 office workers with a mean age of 41±10 years participated.

Musculoskeletal disorders and associated factors among office workers in an activity-based work environment.

This study aimed to evaluate the prevalence of musculoskeletal disorders (MSDs) and associated factors among office workers working in the activity-based workplace (ABW). Forty-two office workers with an ABW and 68 office workers as controls participated. The Nordic musculoskeletal questionnaire, the Baecke physical activity questionnaire, the Copenhagen psychosocial questionnaire III and the fear-avoidance beliefs questionnaire were used and the pain pressure threshold (PPT) was measured.

Effects of the COVID-19 lockdown on musculoskeletal pain, physical activity, and work environment in Estonian office workers transitioning to working from home.

Background: COVID-19 lockdown caused a sudden change in the work culture and environment.

Objective: The aim of this study was to evaluate the impact of COVID-19 lockdown caused changes in musculoskeletal pain (MSP), physical activity (PA), workplace properties, and their in-between relationships among office workers.

Methods: A total of 161 office workers (64.

Development of structure-activity relationship rules for predicting carcinogenic potential of chemicals.

Since the inception of Section 5 (Premanufacturing/Premarketing Notification, PMN) of the Toxic Substances Control Act (TSCA), structure-activity relationship (SAR) analysis has been effectively used by U.S. Environmental Protection Agency's (EPA) Structure Activity Team (SAT) in the assessment of potential carcinogenic hazard of new chemicals for which test data are not available.

Assessment of carcinogenic hazard of chemical mixtures through analysis of binary chemical interaction data.

Assessment of the potential health hazard of environmental complex chemical mixtures is one of the most difficult and challenging problems in toxicology. In this article, we describe the development of an innovative computerized system for ranking and predicting potential cancer hazard of chemical mixtures. We take into consideration both the additive risk of individual carcinogens present and the projected overall interaction effect of the mixture based on analyzing and integrating the possible interaction effects of all binary pairs of individual constituents of the mixture.