LAUSR

When compared to the general population, socioeconomically disadvantaged communities frequently experience compromised health. Monitoring the divide is challenging since standardized biomedical tests are linguistically and culturally inappropriate. The aim of this study was to develop and test a unique mobile biomedical testbed based on non-invasive analysis, as well as to explore the relationships between the objective health measures and subjective health outcomes, as evaluated with the World Health Organization Quality of Life survey. The testbed was evaluated in a socioeconomically disadvantaged neighborhood in Malmö, which has been listed as one of the twelve most vulnerable districts in Sweden. The study revealed that compared to conventional protocols the less intrusive biomedical approach was highly appreciated by the participants. Surprisingly, the collected biomedical data illustrated that the apparent health of the participants from the ethnically diverse low-income neighborhood was comparable to the general Swedish population. Statistically significant correlations between perceived health and biomedical data were disclosed, even though the dependences found were complex, and recognition of the manifest complexity needs to be included in further research. Our results validate the potential of non-invasive technologies in combination with advanced statistical analysis, especially when combined with linguistically and culturally appropriate healthcare methodologies, allowing participants to appreciate the significance of the different parameters to evaluate and monitor aspects of health.