Classifying Mood Symptom Trajectories in Adolescents With Bipolar Disorder

被引:13
|
作者
Weintraub, Marc J. [1 ]
Schneck, Christopher D. [2 ]
Axelson, David A. [3 ,4 ]
Birmaher, Boris [5 ]
Kowatch, Robert A. [3 ,4 ]
Miklowitz, David J. [1 ]
机构
[1] Univ Calif Los Angeles, Semel Inst Neurosci & Human Behav, Los Angeles, CA USA
[2] Univ Colorado, Sch Med, Aurora, CO USA
[3] Nationwide Childrens Hosp, Columbus, OH USA
[4] Ohio State Univ, Coll Med, Columbus, OH 43210 USA
[5] Univ Pittsburgh, Med Ctr, Pittsburgh, PA 15260 USA
关键词
latent class growth analysis; quality of life; early-onset; euthymic; recovery; SCHOOL-AGE-CHILDREN; FAMILY-FOCUSED TREATMENT; EXPRESSED EMOTION; NATURAL-HISTORY; DEVELOPMENTAL SUBTYPE; EARLY-ONSET; I DISORDER; SCHIZOPHRENIA; MANIA; SCHEDULE;
D O I
10.1016/j.jaac.2019.04.028
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Objective: The Course and Outcome of Bipolar Youth study found that children and adolescents with bipolar spectrum disorders followed 1 of 4 distinct mood trajectories over 8 years of follow-up, with as many as 25% of participants showing a predominantly euthymic course. We evaluated whether similar patterns of illness course are observed in adolescents with bipolar I and II disorder who participated in a 2-year clinical trial. Method: A total of 144 adolescents with bipolar I or II disorder, identified shortly after a mood episode, were assessed over a 2-year period. Participants were randomly assigned to one of 2 psychosocial family treatments during the first 9 months of the study, and pharmacotherapy was provided throughout the 2 years. Using latent class growth analyses, we classified participants into distinct courses of illness based on mood ratings collected over the 2 years. We examined demographic and illness variables as predictors of these course classifications. Results: Latent class growth analyses indicated four mood trajectories: "predominantly euthymic" (29.9% of sample), "ill with significantly improving course" (11.1%), "moderately euthymic" (26.4%), and "ill with moderately improving course" (32.6%). Adolescents in these classes were euthymic 77.7%, 53.6%, 44.1%, and 18.6% of the weeks of follow-up, respectively. Psychosocial treatment condition and baseline medication exposure were not associated with trajectories. However, youth with more severe baseline depressive symptoms, suicidality, lower quality of life scores, and minority race/ethnicity had more symptomatic courses of illness over time. Conclusion: A substantial proportion (25%-30%) of youth with bipolar I or II disorder maintain euthymic states over extended periods of follow-up. Identifying youth who are more and less likely to remain stable over time may help guide psychosocial and pharmacological treatments after an illness episode.
引用
收藏
页码:381 / 390
页数:10
相关论文
共 50 条
  • [21] Correlates of disruptive mood dysregulated disorder (DMDD) phenotype among adolescents with bipolar disorder
    Mitchell, R. H. B.
    Iskric, A.
    Scavone, A.
    Timmins, V.
    Goldstein, B.
    BIPOLAR DISORDERS, 2015, 17 : 105 - 105
  • [22] Dynamic time warp analysis of individual symptom trajectories in individuals with bipolar disorder
    Mesbah, R.
    Koenders, M. A.
    Spijker, A. T.
    de Leeuw, M.
    van Hemert, A. M.
    Giltay, E. J.
    BIPOLAR DISORDERS, 2024, 26 (01) : 44 - 57
  • [23] Dynamic time warp analysis of individual symptom trajectories in patients with bipolar disorder
    Mesbah, R.
    Koenders, M.
    Spijker, A. T.
    de Leeuw, M.
    van Hemert, A. M.
    Giltay, E. J.
    EUROPEAN PSYCHIATRY, 2023, 66 : S578 - S579
  • [24] Dynamic time warp analysis of individual symptom trajectories in patients with bipolar disorder
    Mesbah, R.
    Koenders, M.
    Spijker, A. T.
    de Leeuw, M.
    van Hemert, A. M.
    Giltay, E. J.
    EUROPEAN PSYCHIATRY, 2023, 66 : S578 - S579
  • [25] Sleep quality predicts future mood symptoms in adolescents with bipolar disorder
    Stepan, Michelle E.
    Franzen, Peter L.
    Teresi, Giana I.
    Rode, Noelle
    Goldstein, Tina R.
    JOURNAL OF AFFECTIVE DISORDERS, 2024, 361 : 664 - 673
  • [26] Network analysis of mood symptoms in adolescents with or at high risk for bipolar disorder
    Weintraub, Marc J.
    Schneck, Christopher D.
    Miklowitz, David J.
    BIPOLAR DISORDERS, 2020, 22 (02) : 128 - 138
  • [27] Sleep in Adolescents With Bipolar I Disorder: Stability and Relation to Symptom Change
    Gershon, Anda
    Singh, Manpreet K.
    JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, 2017, 46 (02): : 247 - 257
  • [28] Children and adolescents with bipolar spectrum disorder: symptom description and functional outcome
    Calvo, A.
    Mayoral, M.
    Sanchez, T.
    Vidal, J.
    Miguelez, C.
    Serrano, E.
    Espliego, A.
    Moreno, L.
    Moreno, C.
    EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, 2015, 24 : S187 - S188
  • [29] Mood instability as a predictor of clinical and functional outcomes in adolescents with bipolar I and bipolar II disorder
    O'Donnell, Lisa A.
    Ellis, Alissa J.
    Van de Loo, Margaret M.
    Stange, Jonathan P.
    Axelson, David A.
    Kowatch, Robert A.
    Schneck, Christopher D.
    Miklowitz, David J.
    JOURNAL OF AFFECTIVE DISORDERS, 2018, 236 : 199 - 206
  • [30] Longitudinal trajectories of mood symptoms and global functioning in youth at high risk for bipolar disorder
    Weintraub, Marc J.
    Schneck, Christopher D.
    Walshaw, Patricia D.
    Chang, Kiki D.
    Sullivan, Aimee E.
    Singh, Manpreet K.
    Miklowitz, David J.
    JOURNAL OF AFFECTIVE DISORDERS, 2020, 277 : 394 - 401