Examining time-varying dynamics of co-occurring depressed mood and anxiety.

Autor: Piccirillo ML; University of Washington, Department of Psychology, United States of America; Rutgers Robert Wood Johnson Medical School, Department of Psychiatry, United States of America. Electronic address: Marilyn.piccirillo@rutgers.edu., Frumkin MR; Washington University in St. Louis, Department of Psychology and Brain Sciences, United States of America; Massachusetts General Hospital, Department of Psychiatry, United States of America., Spink KM; University of Washington, Department of Psychology, United States of America., Tonge NA; George Mason University, Department of Psychology, United States of America., Foster KT; University of Washington, Department of Psychology, United States of America; University of Washington, Department of Global Health, United States of America.
Jazyk: angličtina
Zdroj: Journal of affective disorders [J Affect Disord] 2024 Oct 01; Vol. 362, pp. 24-35. Date of Electronic Publication: 2024 Jun 19.
DOI: 10.1016/j.jad.2024.06.064
Abstrakt: Background: Dimensional frameworks of psychopathology call for multivariate approaches to map co-occurring disorders to index what symptoms emerge when and for whom. Ecological momentary assessment (EMA) offers a method for assessing and differentiating the dynamics of co-occurring symptoms with greater temporal granularity and naturalistic context. The present study used multivariate mixed effects location-scale modeling to characterize the time-varying dynamics of depressed mood and anxiety for women diagnosed with social anxiety disorder (SAD) and major depression (MDD).
Methods: Women completed five daily EMA surveys over 30 days (150 EMA surveys/woman, T ≈ 5250 total observations) and two clinical diagnostic and retrospective self-report measures administered approximately two months apart.
Results: There was evidence of same-symptom lagged effects (bs = 0.08-0.09), but not cross-symptom lagged effects (bs < 0.01) during EMA. Symptoms co-varied such that momentary spikes from one's typical level of anxiety were associated with increases in momentary depressed mood (b = 0.19) and greater variability of depressed mood (b = 0.06). Similarly, spikes from one's typical levels of depressed mood were associated with increases in momentary anxiety (b = 0.19). Furthermore, the presence and magnitude of effects demonstrated person-specific heterogeneity.
Limitations: Our findings are constrained to the dynamics of depressed and anxious mood among cisgender women with primary SAD and current or past MDD.
Conclusions: Findings from this work help to characterize how daily experiences of co-occurring mood and anxiety fluctuate and offer insight to aid the development of momentary, person-specific interventions designed to regulate symptom fluctuations.
Competing Interests: Declaration of competing interest None.
(Copyright © 2024. Published by Elsevier B.V.)
Databáze: MEDLINE
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