Association between sensory processing sensitivity and quality of life among cancer patients: a mediation and moderation of resilience and social determinants.

Background: Individuals with sensory processing sensitivity (SPS) tend to be overreactive in response to negative environmental stimuli. More is known about the positive relationship between SPS and quality of life (QoL); nevertheless, less is known regarding the roles of resilience and social determinants in this association. This research aimed to investigate the potential mediation effect of resilience and the moderation effect of social determinants on the relationship between SPS and QoL in a large sample of Chinese cancer patients.
Methods: We used the most recent datasets from an ongoing project conducted in southwest China. A two-stage random sampling strategy with a probability proportionate to sample size (PPS) design was adopted. The associations between resilience, SPS, and QoL were evaluated using a linear regression model. Path analysis was adopted to examine the mediation of resilience.
Results: Resilience was positively associated with quality of life, while increased sensory processing sensitivity was negatively associated with quality of life. The restricted cubic spline analysis revealed that as resilience increased, the coefficients of quality of life rapidly increased across all domains. Conversely, the coefficients for quality of life gradually decreased with the escalation of sensory processing sensitivity. Resilience was a significant mediator, accounting for 21.88% of the total SPS-QoL association. The mediation effect of resilience varied across ethnicity and sex.
Conclusion: Sensory processing sensitivity was significantly associated with quality of life in cancer patients, and promoting resilience could mitigate this negative impact. However, the effect of resilience varies across sex and ethnicity. Therefore, targeted resilience promotion interventions, especially those integrating social characteristics, should be considered for implementation.
(© 2024. The Author(s).)