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

被引:0
|
作者
Taiwo, Zinat [1 ,2 ]
Tighe, Elizabeth L. L. [3 ]
Tone, Erin B. B. [3 ]
Light, Sharee N. N. [4 ]
Dotson, Vonetta M. M. [3 ,5 ]
机构
[1] Inst Rehabil & Res TIRR Mem Hermann, Dept Rehabil Psychol & Neuropsychol, Houston, TX 77030 USA
[2] Baylor Coll Med, Dept Phys Med & Rehabil, Houston, TX 77030 USA
[3] Georgia State Univ, Dept Psychol, Atlanta, GA 30302 USA
[4] LSU Hlth Shreveport Sch Med, Shreveport, LA USA
[5] Georgia State Univ, Gerontol Inst, Atlanta, GA 30302 USA
基金
美国国家卫生研究院;
关键词
Late-onset depression; symptom profile; older adult; depressive symptoms; latent class analysis; LATE-LIFE DEPRESSION; SUBTHRESHOLD DEPRESSION; PREVALENCE; HEALTH; SAMPLE; AGE; ACCURACY; SADNESS; TRENDS;
D O I
10.1080/13607863.2023.2211545
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
ObjectivesTo examine the symptom profiles of late-onset depressive symptoms in a sample of older adults.MethodThe 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.ResultsLCA 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.ConclusionsFindings 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.
引用
收藏
页码:2202 / 2210
页数:9
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