Health promotion, behavioural insights and inequalities
This research group aims to understand the health determinants across lifespan. In particular it focuses on describing and predicting how people behave and make decisions, as well as change the public's health, regarding the health needs of most vulnerable populations and reducing health inequalities. Within a participatory and multidisciplinary approach, and a translational component, it is dedicated to gain accurate evidence through cutting-edge, high quality and impactful research.
It also seeks to apply this knowledge in planning, designing, implementing and evaluating health promotion policies, programmes and interventions that address complex health issues in an innovative, tailored, effective and sustainable way.
In terms of methodology, the types of studies most commonly used by the research group are complex intervention, cross-sectional, longitudinal, and experimental studies, including RCTs. Systematic and integrative literature reviews are also performed.
The most commonly used quantitative approaches are descriptive and inferential analyses using parametric and nonparametric tests, generalized linear models, and analysis of the psychometric characteristics of scales. The most used tools are SPSS and R software.
The most commonly used qualitative approaches are descriptive analysis, narrative analysis, using content analysis, textual and lexical analyses, employing techniques such as interviews, focus groups, non-participant and participant observation, and field notes. The most used tools are NVivo, Alceste, Trideux and Iramuteq software.