Appetite and Weight Loss Symptoms in Late-Life Depression Predict Dementia Outcomes.

Published

Journal Article

OBJECTIVE:Identify depression symptoms during active late-life depression (LLD) that predict conversion to dementia. METHODS:The authors followed a cohort of 290 participants from the Neurocognitive Outcomes of Depression in the Elderly study. All participants were actively depressed and cognitively normal at enrollment. Depression symptom factors were derived from prior factor analysis: anhedonia and sadness, suicidality and guilt, appetite and weight loss, sleep disturbance, and anxiety and tension. Cox regression analysis modeled time to Alzheimer disease (AD) and non-AD dementia onset on depression symptom factors, along with age, education, sex, and race. Significant dementia predictors were tested for interaction with age at depression onset. RESULTS:Higher scores on the appetite and weight loss symptom factor were associated with an increased hazard of both AD and non-AD dementia. This factor was moderated by age at first depression onset, such that higher scores were associated with higher risk of non-AD dementia when depression first occurred earlier in life. Other depression symptom factors and overall depression severity were not related to risk of AD or non-AD dementia. CONCLUSION:Results suggest greater appetite/weight loss symptoms in active episodes of LLD are associated with increased likelihood of AD and non-AD dementia, but possibly via different pathways moderated by age at first depression onset. Results may help clinicians identify individuals with LLD at higher risk of developing AD and non-AD dementia and design interventions that reduce this risk.

Full Text

Duke Authors

Cited Authors

  • Saha, S; Hatch, DJ; Hayden, KM; Steffens, DC; Potter, GG

Published Date

  • October 2016

Published In

Volume / Issue

  • 24 / 10

Start / End Page

  • 870 - 878

PubMed ID

  • 27555110

Pubmed Central ID

  • 27555110

Electronic International Standard Serial Number (EISSN)

  • 1545-7214

International Standard Serial Number (ISSN)

  • 1064-7481

Digital Object Identifier (DOI)

  • 10.1016/j.jagp.2016.05.004

Language

  • eng