Greta A Bushnell1, Ardesheer Talati2,3, Priya J Wickramaratne2,3,4, Marc J Gameroff2,3, Myrna M Weissman1,2,3. 1. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York. 2. Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York. 3. Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York. 4. Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York.
Abstract
BACKGROUND: The course of anxiety disorders during childhood is heterogeneous. In two generations at high or low risk, we described the course of childhood anxiety disorders and evaluated whether parent or grandparent major depressive disorder (MDD) predicted a persistent anxiety course. METHODS: We utilized a multigenerational study (1982-2015), following children (second generation, G2) and grandchildren (third generation, G3) of generation 1 (G1) with either moderate/severe MDD or no psychiatric illness. Psychiatric diagnoses were based on diagnostic interviews. Using group-based trajectory models, we identified clusters of children with similar anxiety disorder trajectories (age 0-17). RESULTS: We identified three primary trajectories in G2 (N = 275) and G3 (N = 118) cohorts: "no/low anxiety disorder" during childhood (G2 = 66%; G3 = 53%), "nonpersistent" with anxiety during part of childhood (G2 = 16%; G3 = 21%), and "persistent" (G2 = 18%; G3 = 25%). Childhood mood disorders and substance use disorders tended to be more prevalent in children in the persistent anxiety trajectory. In G2 children, parent MDD was associated with an increased likelihood of being in the persistent (84%) or nonpersistent trajectory (82%) versus no/low anxiety trajectory (62%). In G3 children, grandparent MDD, but not parent, was associated with an increased likelihood of being in the persistent (83%) versus nonpersistent (48%) and no/low anxiety (51%) trajectories. CONCLUSION: Anxiety trajectories move beyond what is captured under binary, single time-point measures. Parent or grandparent history of moderate/severe MDD may offer value in predicting child anxiety disorder course, which could help clinicians and caregivers identify children needing increased attention and screening for other psychiatric conditions.
BACKGROUND: The course of anxiety disorders during childhood is heterogeneous. In two generations at high or low risk, we described the course of childhood anxiety disorders and evaluated whether parent or grandparent major depressive disorder (MDD) predicted a persistent anxiety course. METHODS: We utilized a multigenerational study (1982-2015), following children (second generation, G2) and grandchildren (third generation, G3) of generation 1 (G1) with either moderate/severe MDD or no psychiatric illness. Psychiatric diagnoses were based on diagnostic interviews. Using group-based trajectory models, we identified clusters of children with similar anxiety disorder trajectories (age 0-17). RESULTS: We identified three primary trajectories in G2 (N = 275) and G3 (N = 118) cohorts: "no/low anxiety disorder" during childhood (G2 = 66%; G3 = 53%), "nonpersistent" with anxiety during part of childhood (G2 = 16%; G3 = 21%), and "persistent" (G2 = 18%; G3 = 25%). Childhood mood disorders and substance use disorders tended to be more prevalent in children in the persistent anxiety trajectory. In G2 children, parent MDD was associated with an increased likelihood of being in the persistent (84%) or nonpersistent trajectory (82%) versus no/low anxiety trajectory (62%). In G3 children, grandparent MDD, but not parent, was associated with an increased likelihood of being in the persistent (83%) versus nonpersistent (48%) and no/low anxiety (51%) trajectories. CONCLUSION:Anxiety trajectories move beyond what is captured under binary, single time-point measures. Parent or grandparent history of moderate/severe MDD may offer value in predicting childanxiety disorder course, which could help clinicians and caregivers identify children needing increased attention and screening for other psychiatric conditions.
Authors: J Kaufman; B Birmaher; D Brent; U Rao; C Flynn; P Moreci; D Williamson; N Ryan Journal: J Am Acad Child Adolesc Psychiatry Date: 1997-07 Impact factor: 8.829
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Authors: Angelica Cerveira de Baumont; Mauricio Scopel Hoffmann; Andressa Bortoluzzi; Gabriel R Fries; Patrícia Lavandoski; Lucas K Grun; Luciano S P Guimarães; Fátima T C R Guma; Giovanni Abrahão Salum; Florencia M Barbé-Tuana; Gisele G Manfro Journal: Sci Rep Date: 2021-04-08 Impact factor: 4.379