Moderating effects of individual factors on the relationship between inflammation and psychophysiological states in...

Systemic inflammation affects psychological processes. Although the association between inflammation and psychophysiological state has been extensively investigated in patients with depression or inflammatory disease, how this relationship manifests in healthy individuals is not clearly known. Not all individuals exhibit distress in response to elevated inflammatory markers, suggesting the presence of psychological moderators. Elucidating the effect of elevated inflammatory markers on healthy adults would broaden the understanding of the relationship between inflammation and psychophysiological state. We investigated the moderating effect of individual factors, including emotion regulation, sleep quality, and interoceptive awareness, on the relationship between inflammatory markers and psychophysiological states in healthy adults. A total of 155 participants aged 30-59 years were assessed for inflammatory markers, individual factors, and subjective psychological and physical symptoms. Hierarchical regression and interaction models revealed that individuals with poor emotion regulation or low-quality sleep showed stronger associations between inflammatory markers and symptoms such as fatigue, somatic complaints, depression, and anxiety. Conversely, individuals with effective emotion regulation or high-quality sleep exhibited attenuated or even reversed associations, suggesting protective effects. Interoceptive awareness showed weaker and more context-dependent moderating effects. These results highlight the importance of psychological traits in modulating the effects of inflammation on mental and physical well-being in clinically healthy adults. Targeted interventions for enhancing emotion regulation and sleep quality may mitigate the psycho-physiological burden of inflammation and reduce the risk of future disease onset. The findings underscore the need for individualized psychoneuroimmunological models that incorporate trait-level moderators to explain variability in stress-related health outcomes.