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Distinct latent symptom profiles in late-onset depressive symptoms in community-dwelling older adults

Distinct latent symptom profiles in late-onset depressive symptoms in community-dwelling older... Abstract Objectives To examine the symptom profiles of late-onset depressive symptoms in a sample of older adults. Method The sample included 1,192 participants from the National Alzheimer’s Coordinating Center Data Set. Participants were ≥65 years old, community-dwelling, and without cognitive impairment or a prior history of depression. Depressive symptoms were assessed using the Geriatric Depression Scale, 15-item (GDS-15). Latent class analysis (LCA) was used to identify and group participants based on profiles of depressive symptoms. Results LCA revealed three distinct symptom profiles: (1) an Anhedonia/Amotivation profile with a higher probability of endorsing a combination of low positive emotion and amotivation (6%), (2) an Amotivation/Withdrawal profile with a high probability of endorsing only amotivational depressive symptoms (35%), and (3) an asymptomatic profile with no probability of endorsing any depressive symptoms (59%). Amotivational depressive symptoms were observed across both symptomatic profiles, while depressed mood (e.g. sadness) did not predominantly characterize any profile in this sample. There were also significant differences among symptom profiles in terms of demographic and clinical characteristics. Conclusions Findings highlight the importance of understanding depression at the symptom pattern level. A profile-based diagnostic approach may help improve the recognition of depressive symptoms in older adults. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Aging & Mental Health Taylor & Francis

Distinct latent symptom profiles in late-onset depressive symptoms in community-dwelling older adults

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References (66)

Publisher
Taylor & Francis
Copyright
© 2023 Informa UK Limited, trading as Taylor & Francis Group
ISSN
1364-6915
eISSN
1360-7863
DOI
10.1080/13607863.2023.2211545
Publisher site
See Article on Publisher Site

Abstract

Abstract Objectives To examine the symptom profiles of late-onset depressive symptoms in a sample of older adults. Method The sample included 1,192 participants from the National Alzheimer’s Coordinating Center Data Set. Participants were ≥65 years old, community-dwelling, and without cognitive impairment or a prior history of depression. Depressive symptoms were assessed using the Geriatric Depression Scale, 15-item (GDS-15). Latent class analysis (LCA) was used to identify and group participants based on profiles of depressive symptoms. Results LCA revealed three distinct symptom profiles: (1) an Anhedonia/Amotivation profile with a higher probability of endorsing a combination of low positive emotion and amotivation (6%), (2) an Amotivation/Withdrawal profile with a high probability of endorsing only amotivational depressive symptoms (35%), and (3) an asymptomatic profile with no probability of endorsing any depressive symptoms (59%). Amotivational depressive symptoms were observed across both symptomatic profiles, while depressed mood (e.g. sadness) did not predominantly characterize any profile in this sample. There were also significant differences among symptom profiles in terms of demographic and clinical characteristics. Conclusions Findings highlight the importance of understanding depression at the symptom pattern level. A profile-based diagnostic approach may help improve the recognition of depressive symptoms in older adults.

Journal

Aging & Mental HealthTaylor & Francis

Published: Nov 2, 2023

Keywords: Late-onset depression; symptom profile; older adult; depressive symptoms; latent class analysis

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