Plastic chemicals are numerous and ubiquitous in modern life and pose significant risks to human health. Observational epidemiological studies have been instrumental in identifying consistent and statistically significant associations between exposure to certain chemicals and adverse health outcomes. However, these studies often fail to establish causality due to the complexity of real-world chemical mixtures, confounding factors, reverse causation, and study designs that lack measures reflecting underlying genetic and cellular mechanisms indicating causal pathways to harm. Addressing these limitations requires moving beyond traditional ‘black-box’ epidemiology, which mainly focuses on the strength of associations. We propose adopting hybrid epidemiological methodologies that incorporate genetic susceptibility and molecular mechanisms to uncover biological pathways, combined with machine learning and statistical analysis of chemical mixtures, to strengthen the causal evidence linking exposure to harm. By integrating observational multi-omics data with experimental and mechanistic models, hybrid epidemiology offers a transformative path to improve causal evidence and public health interventions. In addition, machine learning and statistical methods provide a more nuanced understanding of the health effects of exposures to plastic chemical mixtures, facilitating the identification of interactions within chemical mixtures and the influence of biological pathways. This paradigm shift is critical addressing the complex challenges of plastic exposure and protecting human health.

This preliminary study sought to explore the link between depression, experiential avoidance and mindfulness in people with a spinal cord injury (SCI). We surveyed patients listed on the SCI database at Royal Perth Hospital who had experienced an injury over the last 10 years. Respondents (62) completed a questionnaire including the depression subscale of the Depression Anxiety Stress Scale, the Acceptance and Action Questionnaire (AAQ-2; Bond et al., 2007) and the Mindful Attention Awareness Scale (MAAS; Brown & Ryan, 2003). Thirty per cent of participants scored above the cut-off for possible depression, with equal numbers experiencing mild, moderate or severe depression. Mindfulness and experiential avoidance were significantly associated with depression, and were intercorrelated. Further, regression analysis indicated that experiential avoidance mediated the relationship between depression and mindfulness. Our preliminary data suggest that individuals with SCI who are more mindful use less avoidance and have a more positive mood. These results indicate further work in this area is warranted.

This study examined barriers to physical activity reported individuals with spinal cord injury (SCI) and the degree to which these barriers differed across varying degrees of independence. Participants were 65 individuals recruited from the Western Australian Spinal Cord Injury database. Data on physical activity participation and perceived barriers to physical activity participation were collected using a cross-sectional survey and analysed using independent samples t-tests. We found that, regardless of level of ambulation or ability to transfer, few participants reported being physically active. While there were no significant differences in the amount of barriers reported by individuals with different levels of independence, the type of barriers reported varied across groups.