[article]
Titre : |
Network analysis of ecological momentary assessment identifies frustration as a central node in irritability |
Type de document : |
Texte imprimé et/ou numérique |
Auteurs : |
Wan-Ling TSENG, Auteur ; Reut NAIM, Auteur ; Amanda CHUE, Auteur ; Shannon SHAUGHNESSY, Auteur ; Jennifer MEIGS, Auteur ; Daniel S. PINE, Auteur ; Ellen LEIBENLUFT, Auteur ; Katharina KIRCANSKI, Auteur ; Melissa A. BROTMAN, Auteur |
Article en page(s) : |
p.1212-1221 |
Langues : |
Anglais (eng) |
Mots-clés : |
Irritability frustration anger mood anxiety ecological momentary assessment network analysis |
Index. décimale : |
PER Périodiques |
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. |
En ligne : |
https://doi.org/10.1111/jcpp.13794 |
Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508 |
in Journal of Child Psychology and Psychiatry > 64-8 (August 2023) . - p.1212-1221
[article] Network analysis of ecological momentary assessment identifies frustration as a central node in irritability [Texte imprimé et/ou numérique] / Wan-Ling TSENG, Auteur ; Reut NAIM, Auteur ; Amanda CHUE, Auteur ; Shannon SHAUGHNESSY, Auteur ; Jennifer MEIGS, Auteur ; Daniel S. PINE, Auteur ; Ellen LEIBENLUFT, Auteur ; Katharina KIRCANSKI, Auteur ; Melissa A. BROTMAN, Auteur . - p.1212-1221. Langues : Anglais ( eng) in Journal of Child Psychology and Psychiatry > 64-8 (August 2023) . - p.1212-1221
Mots-clés : |
Irritability frustration anger mood anxiety ecological momentary assessment network analysis |
Index. décimale : |
PER Périodiques |
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. |
En ligne : |
https://doi.org/10.1111/jcpp.13794 |
Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508 |
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