Categorization of continuous covariates and complex regression models-friends or foes in intersectionality research.

Objectives: To reduce health inequities, it is important to identify intersections in characteristics of individuals subject to privilege or disadvantage. Different proposals for that have recently been published. One approach (1) considers models specified with first- and all second-order effects and another (2) the stratification based on multiple covariates; both categorize continuous covariates.

Severity of disability related to road traffic crashes in the Spanish adult population.

Background: The severity of disability related to road traffic crashes has been little studied, despite the significant health and socio-economic impacts that determine victims' quality of life.

Objective: To estimate the consequences of road traffic crashes on the severity of disability, in terms of individuals' capacity to execute activities and perform tasks in their current environment, using aids.

Methods: Cross-sectional study conducted on community-dwelling participants in the "2008 National Survey of Disability", with data on 91,846 households having 20,425 disabled persons, 443 of whom had disability due to road traffic crashes.