Journal
INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY
Volume 33, Issue 2, Pages 405-413Publisher
WILEY
DOI: 10.1002/gps.4761
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Funding
- NCATS NIH HHS [UL1 TR001863] Funding Source: Medline
- NIMH NIH HHS [R01 MH104459, K01 MH092681] Funding Source: Medline
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ObjectiveDepressive and anxiety symptoms are common in older adults, significantly affect quality of life, and are risk factors for Alzheimer's disease. We sought to identify the determinants of predominant trajectories of depressive and anxiety symptoms in cognitively normal older adults. MethodFour hundred twenty-three older adults recruited from the general community underwent A positron emission tomography imaging, apolipoprotein and brain-derived neurotrophic factor genotyping, and cognitive testing at baseline and had follow-up assessments. All participants were cognitively normal and free of clinical depression at baseline. Latent growth mixture modeling was used to identify predominant trajectories of subthreshold depressive and anxiety symptoms over 6years. Binary logistic regression analysis was used to identify baseline predictors of symptomatic depressive and anxiety trajectories. ResultsLatent growth mixture modeling revealed two predominant trajectories of depressive and anxiety symptoms: a chronically elevated trajectory and a low, stable symptom trajectory, with almost one in five participants falling into the elevated trajectory groups. Male sex (relative risk ratio (RRR)=3.23), lower attentional function (RRR=1.90), and carriage of the brain-derived neurotrophic factor Val66Met allele in women (RRR=2.70) were associated with increased risk for chronically elevated depressive symptom trajectory. Carriage of the apolipoprotein epsilon 4 allele (RRR=1.92) and lower executive function in women (RRR=1.74) were associated with chronically elevated anxiety symptom trajectory. ConclusionOur results indicate distinct and sex-specific risk factors linked to depressive and anxiety trajectories, which may help inform risk stratification and management of these symptoms in older adults at risk for Alzheimer's disease. Copyright (c) 2017 John Wiley & Sons, Ltd.
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