Carol K Chan1, Anja Soldan2, Corinne Pettigrew2, Mei-Cheng Wang3, Jiangxia Wang3, Marilyn S Albert2, Paul B Rosenberg1. 1. Department of Psychiatry,Johns Hopkins University School of Medicine,Baltimore, MD,USA. 2. Department of Neurology,Johns Hopkins University School of Medicine,Baltimore, MD,USA. 3. Department of Biostatistics,Johns Hopkins University School of Public Health,Baltimore, MD,USA.
Abstract
ABSTRACTObjective:There is increasing evidence of an association between depressive symptoms and mild cognitive impairment (MCI) in cross-sectional studies, but the longitudinal association between depressive symptoms and risk of MCI onset is less clear. The authors investigated whether baseline symptom severity of depression was predictive of time to onset of symptoms of MCI. METHOD: These analyses included 300 participants from the BIOCARD study, a cohort of individuals who were cognitively normal at baseline (mean age = 57.4 years) and followed for up to 20 years (mean follow-up = 2.5 years). Depression symptom severity was measured using the Hamilton Depression Scale (HAM-D). The authors assessed the association between dichotomous and continuous HAM-D and time to onset of MCI within 7 years versus after 7 years from baseline (reflecting the mean time from baseline to onset of clinical symptoms in the cohort) using Cox regression models adjusted for gender, age, and education. RESULTS: At baseline, subjects had a mean HAM-D score of 2.2 (SD = 2.8). Higher baseline HAM-D scores were associated with an increased risk of progression from normal cognition to clinical symptom onset ≤ 7 years from baseline (p = 0.043), but not with progression > 7 years from baseline (p = 0.194). These findings remained significant after adjustment for baseline cognition. CONCLUSIONS: These results suggest that low levels of depressive symptoms may be predictive of clinical symptom onset within approximately 7 years among cognitively normal individuals and may be useful in identifying persons at risk for MCI due to Alzheimer's disease.
ABSTRACTObjective:There is increasing evidence of an association between depressive symptoms and mild cognitive impairment (MCI) in cross-sectional studies, but the longitudinal association between depressive symptoms and risk of MCI onset is less clear. The authors investigated whether baseline symptom severity of depression was predictive of time to onset of symptoms of MCI. METHOD: These analyses included 300 participants from the BIOCARD study, a cohort of individuals who were cognitively normal at baseline (mean age = 57.4 years) and followed for up to 20 years (mean follow-up = 2.5 years). Depression symptom severity was measured using the Hamilton Depression Scale (HAM-D). The authors assessed the association between dichotomous and continuous HAM-D and time to onset of MCI within 7 years versus after 7 years from baseline (reflecting the mean time from baseline to onset of clinical symptoms in the cohort) using Cox regression models adjusted for gender, age, and education. RESULTS: At baseline, subjects had a mean HAM-D score of 2.2 (SD = 2.8). Higher baseline HAM-D scores were associated with an increased risk of progression from normal cognition to clinical symptom onset ≤ 7 years from baseline (p = 0.043), but not with progression > 7 years from baseline (p = 0.194). These findings remained significant after adjustment for baseline cognition. CONCLUSIONS: These results suggest that low levels of depressive symptoms may be predictive of clinical symptom onset within approximately 7 years among cognitively normal individuals and may be useful in identifying persons at risk for MCI due to Alzheimer's disease.
Authors: Carol K Chan; Anja Soldan; Corinne Pettigrew; Jiangxia Wang; Marilyn Albert; Paul B Rosenberg Journal: Alzheimers Dement (Amst) Date: 2020-09-24
Authors: Carol K Chan; Frederick E Sieber; Kaj Blennow; Sharon K Inouye; Geoffrey Kahn; Jeannie-Marie S Leoutsakos; Edward R Marcantonio; Karin J Neufeld; Paul B Rosenberg; Nae-Yuh Wang; Henrik Zetterberg; Constantine G Lyketsos; Esther S Oh Journal: Am J Geriatr Psychiatry Date: 2021-02-04 Impact factor: 4.105