Network analysis of ecological momentary assessment identifies frustration as a central node in irritability.


Journal

Journal of child psychology and psychiatry, and allied disciplines
ISSN: 1469-7610
Titre abrégé: J Child Psychol Psychiatry
Pays: England
ID NLM: 0375361

Informations de publication

Date de publication:
08 2023
Historique:
accepted: 20 02 2023
medline: 7 7 2023
pubmed: 29 3 2023
entrez: 28 3 2023
Statut: ppublish

Résumé

Irritability presents transdiagnostically, commonly occurring with anxiety and other mood symptoms. However, little is known about the temporal and dynamic interplay among irritability-related clinical phenomena. Using a novel network analytic approach with smartphone-based ecological momentary assessment (EMA), we examined how irritability and other anxiety and mood symptoms were connected. Sample included 152 youth ages 8-18 years (M ± SD = 12.28 ± 2.53; 69.74% male; 65.79% White) across several diagnostic groups enriched for irritability including disruptive mood dysregulation disorder (n = 34), oppositional defiant disorder (n = 9), attention-deficit/hyperactivity disorder (n = 47), anxiety disorder (n = 29), and healthy comparisons (n = 33). Participants completed EMA on irritability-related constructs and other mood and anxiety symptoms three times a day for 7 days. EMA probed symptoms on two timescales: "since the last prompt" (between-prompt) versus "at the time of the prompt" (momentary). Irritability was also assessed using parent-, child- and clinician-reports (Affective Reactivity Index; ARI), following EMA. Multilevel vector autoregressive (mlVAR) models estimated a temporal, a contemporaneous within-subject and a between-subject network of symptoms, separately for between-prompt and momentary symptoms. For between-prompt symptoms, frustration emerged as the most central node in both within- and between-subject networks and predicted more mood changes at the next timepoint in the temporal network. For momentary symptoms, sadness and anger emerged as the most central node in the within- and between-subject network, respectively. While anger was positively related to sadness within individuals and measurement occasions, anger was more broadly positively related to sadness, mood lability, and worry between/across individuals. Finally, mean levels, not variability, of EMA-indexed irritability were strongly related to ARI scores. This study advances current understanding of symptom-level and temporal dynamics of irritability. Results suggest frustration as a potential clinically relevant treatment target. Future experimental work and clinical trials that systematically manipulate irritability-related features (e.g. frustration, unfairness) will elucidate the causal relations among clinical variables.

Sections du résumé

BACKGROUND
Irritability presents transdiagnostically, commonly occurring with anxiety and other mood symptoms. However, little is known about the temporal and dynamic interplay among irritability-related clinical phenomena. Using a novel network analytic approach with smartphone-based ecological momentary assessment (EMA), we examined how irritability and other anxiety and mood symptoms were connected.
METHODS
Sample included 152 youth ages 8-18 years (M ± SD = 12.28 ± 2.53; 69.74% male; 65.79% White) across several diagnostic groups enriched for irritability including disruptive mood dysregulation disorder (n = 34), oppositional defiant disorder (n = 9), attention-deficit/hyperactivity disorder (n = 47), anxiety disorder (n = 29), and healthy comparisons (n = 33). Participants completed EMA on irritability-related constructs and other mood and anxiety symptoms three times a day for 7 days. EMA probed symptoms on two timescales: "since the last prompt" (between-prompt) versus "at the time of the prompt" (momentary). Irritability was also assessed using parent-, child- and clinician-reports (Affective Reactivity Index; ARI), following EMA. Multilevel vector autoregressive (mlVAR) models estimated a temporal, a contemporaneous within-subject and a between-subject network of symptoms, separately for between-prompt and momentary symptoms.
RESULTS
For between-prompt symptoms, frustration emerged as the most central node in both within- and between-subject networks and predicted more mood changes at the next timepoint in the temporal network. For momentary symptoms, sadness and anger emerged as the most central node in the within- and between-subject network, respectively. While anger was positively related to sadness within individuals and measurement occasions, anger was more broadly positively related to sadness, mood lability, and worry between/across individuals. Finally, mean levels, not variability, of EMA-indexed irritability were strongly related to ARI scores.
CONCLUSIONS
This study advances current understanding of symptom-level and temporal dynamics of irritability. Results suggest frustration as a potential clinically relevant treatment target. Future experimental work and clinical trials that systematically manipulate irritability-related features (e.g. frustration, unfairness) will elucidate the causal relations among clinical variables.

Identifiants

pubmed: 36977629
doi: 10.1111/jcpp.13794
pmc: PMC10615387
mid: NIHMS1918659
doi:

Banques de données

ClinicalTrials.gov
['NCT00018057', 'NCT00025935']

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1212-1221

Subventions

Organisme : NIMH NIH HHS
ID : R00 MH110570
Pays : United States
Organisme : Intramural NIH HHS
ID : Z99 MH999999
Pays : United States
Organisme : Intramural NIH HHS
ID : ZIA MH002969
Pays : United States

Informations de copyright

© 2023 Association for Child and Adolescent Mental Health.

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Auteurs

Wan-Ling Tseng (WL)

Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA.

Reut Naim (R)

Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.

Amanda Chue (A)

Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.

Shannon Shaughnessy (S)

Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.

Jennifer Meigs (J)

Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.

Daniel S Pine (DS)

Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.

Ellen Leibenluft (E)

Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.

Katharina Kircanski (K)

Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.

Melissa A Brotman (MA)

Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.

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Classifications MeSH