Key result
Recurrence quantification analysis (RQA) metrics of affect predictability predicted depressive and somatic symptoms above and beyond mean levels and variability of affect over time.
Why the study?
Does recurrence quantification analysis (RQA) better predict health outcomes compared to standard measures of affect variability?
Observational
Does recurrence quantification analysis (RQA) better predict health outcomes compared to standard measures of affect variability?
Recurrence quantification analysis provides a useful metric for understanding how temporal patterns and predictability of affective experiences relate to health outcomes.
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May refine affect-health research beyond variability metrics; leaves open whether RQA patterns predict outcomes or alter care.
Jenkins et al. (2019) conducted an observational in Depressive and somatic symptoms. Recurrence quantification analysis (RQA) metrics of affect predictability vs. Mean levels and variability of affect was evaluated on Depressive and somatic symptoms. Recurrence quantification analysis (RQA) metrics of affect predictability predicted depressive and somatic symptoms above and beyond mean levels and variability of affect over time.
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