Assessing the impact of socioeconomic and environmental factors on mental health during the COVID-19 pandemic based on GPS-enabled mobile sensing and survey data.

This study examines the impact of individual socioeconomic factors, living environment factors (e.g., housing conditions), and environmental exposures (e.g., greenspace) on people's mental health during the COVID-19 pandemic in Hong Kong. We measured the environmental exposures to greenspace, noise and air pollution using GPS tracking and mobile sensing data collected from survey participants, in addition to obtaining socioeconomic and living environment data from them using conventional survey questionnaires. We used an ordinal logistic regression model to determine the socioeconomic and environmental factors that are significantly associated with mental health outcomes. The results show that increased greenspace exposure is associated with a higher likelihood of better mental health outcomes, while both lower income level and home ownership with a mortgage are linked to lower odds of better mental health outcomes during the COVID-19 pandemic in Hong Kong. This research contributes to the existing literature by identifying the specific socioeconomic and environmental factors that significantly affect mental health outcomes during the COVID-19 pandemic.