Literature DB >> 31740109

Impact of age at onset on the phenomenology of depression in treatment-seeking adults in the STAR*D trial.

Lara Michelle Baez1, Aaron Shain Heller2.   

Abstract

BACKGROUND: - Adolescence is characterized by biological, emotional, and behavioral changes. The onset of depression during this vulnerable time may confer specific risks. This study examined whether symptoms of depression were associated with age at onset (AAO), and whether AAO impacted depression symptom networks in adulthood.
METHODS: - Data were from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial. 3,184 depressed participants were included in analyses. A series of multiple regressions examined whether pretreatment differences in depression item-level symptom severity varied by AAO. Participants were divided into four groups based on AAO; GLASSO networks of depressive symptoms were estimated in each group and tests of differences between networks were performed.
RESULTS: - Earlier AAO was associated with more severe symptom levels, with the exception of sleep-which increased with AAO, and loss of libido, psychomotor disturbance, and appetite-weight disturbance, which were invariant with AAO. In network analyses, the adolescent AAO symptom network significantly differed from the young adult and middle age AAO networks in structure and strength. In contrast, the child AAO network differed from the middle age AAO network in strength only. LIMITATIONS: - Age at onset was recalled retrospectively and may be subject to bias. Future prospective studies should be conducted to address this limitation.
CONCLUSIONS: - Adolescence stands out as a time when onset of depression is associated with specific network characteristics. The unique severity of symptoms and network strength and structure caused by onset of depression during adolescence highlights the long-lasting impact of depression on the developing brain.
Copyright © 2019 Elsevier B.V. All rights reserved.

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Mesh:

Year:  2019        PMID: 31740109      PMCID: PMC6917830          DOI: 10.1016/j.jad.2019.10.036

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  37 in total

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