Discovering different profiles in the dynamics of depression based on real–time monitoring of mood: a first exploration
| Autor: | Heleen Riper, Claire van Genugten, Jan H. Smit, Adriaan W. Hoogendoorn, Josien Schuurmans, Wouter van Ballegooijen |
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| Přispěvatelé: | APH - Mental Health, Psychiatry, APH - Methodology, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Global Health |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
AIC
Akaike information criterion M mean VAS Visual analogue scale Mood instability Population LMRA-LRT Lo-Mendell-Rubin adjusted likelihood ratio test Mood dynamics Health Informatics Information technology behavioral disciplines and activities BLRT bootstrapped likelihood ratio test Cluster analysis mental disorders Psychology DSM-5 Diagnostic manual of mental disorders 5th edition SD Standard deviation education Ecological momentary assessment VAS - Visual analogue scale Depression (differential diagnoses) IQR interquartile range LPA latent profile analysis education.field_of_study EMA ecological momentary assessment Depression BIC Bayesian information criterion T58.5-58.64 CES-D Center for Epidemiological Studies Depression Scale Full length Article BF1-990 AC autocorrelation Clinical Practice Negative mood Mood PHQ-9 Patient Health Questionnaire Heterogeneity Depressed mood Mdn median Clinical psychology |
| Zdroj: | Internet Interventions, 26:100437. Elsevier BV van Genugten, C R, Schuurmans, J, van Ballegooijen, W, Hoogendoorn, A W, Smit, J H & Riper, H 2021, ' Discovering different profiles in the dynamics of depression based on real–time monitoring of mood: a first exploration ', Internet Interventions, vol. 26, 100437 . https://doi.org/10.1016/j.invent.2021.100437 Internet Interventions van Genugten, C R, Schuurmans, J, van Ballegooijen, W, Hoogendoorn, A W, Smit, J H & Riper, H 2021, ' Discovering different profiles in the dynamics of depression based on real–time monitoring of mood : a first exploration ', Internet Interventions, vol. 26, 100437 . https://doi.org/10.1016/j.invent.2021.100437 Internet Interventions, Vol 26, Iss, Pp 100437-(2021) |
| ISSN: | 2214-7829 |
| DOI: | 10.1016/j.invent.2021.100437 |
| Popis: | Background Although depression is typically characterized by a persistent depressed mood, mood dynamics do seem to vary across a depressed population. Heterogeneity of mood variability (magnitude of changes) and emotional inertia (speed at which mood shifts) is seen in clinical practice. However, studies investigating the heterogeneity of these mood dynamics are still scarce. The aim of the present study is to explore different distinctive profiles in real-time monitored mood dynamics among depressed persons. Methods After completing baseline measures, mildly-to-moderately depressed persons (n = 37) were prompted to rate their current mood (1–10 scale) on their smartphones, 3 times a day for 7 consecutive days. Latent profile analyses were applied to identify profiles based on average mood, variability of mood and emotional inertia as reported by the participants. Results Two profiles were identified in this sample. The overwhelming majority of the sample belonged to profile 1 (n = 31). Persons in profile 1 were characterized by a mood just above the cutoff for positive mood (M = 6.27), with smaller mood shifts (lower variability [SD = 1.05]) than those in profile 2 (n = 6), who displayed an overall negative mood (M = 4.72) and larger mood shifts (higher variability [SD = 1.95]) but at similar speed (emotional inertia) (AC = 0.19, AC = 0.26, respectively). Conclusions The present study provides preliminary indications for patterns of average mood and mood variability, but not emotional inertia, among mildly-to-moderately depressed persons. Highlights • Mood dynamics might be the key to untangling the heterogeneity of depression • This is the first attempt to create homogeneous profiles of mood dynamics • The results revealed two homogeneous profiles of mood dynamics • Profiles differed in average mood and mood variability, but not emotional inertia |
| Databáze: | OpenAIRE |
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