OBJECTIVE: The objective of this study was to estimate several subtypes of depressive disorders as risk factors for dementia and Alzheimer disease (AD) specifically. METHODS: This is a population-based cohort study using a sample of 451 non-demented older people. Adjusted Cox proportional hazard models were calculated to determine the association of depression with dementia or AD development after 5 years. Baseline evaluation included the Cambridge Mental Disorders of the Elderly Examination (CAMDEX). Depressive disorders (major episode [MD] and minor depressive disorders [MDDIS]) were assessed following DSM-IV criteria and further classified according to the age at onset (early versus late onset). In turn, all late-onset depressions were grouped as with or without depression-executive dysfunction syndrome (DEDS). Dementia (and dementia subtypes) diagnoses were made using the CAMDEX. When the patients were deceased, the Retrospective Collateral Dementia Interview was used. RESULTS: Late-onset depressions (both MD and MDDIS) were associated with increased dementia (hazard ratio [HR] = 2.635; 95% CI = 1.153-6.023; and HR = 2.517; 95% CI = 1.200-5.280, respectively), and AD (HR = 6.262; 95% CI = 2.017-19.446; and HR = 4.208; 95% CI = 1.828-9.685, respectively) after adjustment by age, gender, marital status, education, cognitive impairment, executive function and stroke history. A second model revealed that only late-onset depressions with DEDS increased the risk for both dementia (late-onset MD with DEDS: HR = 6.262; 95% CI = 2.017-19.446; late-onset MDDIS with DEDS: HR = 4.208; 95% CI = 1.828-9.685) and AD (late-onset MD with DEDS: HR = 7.807; 95% CI = 1.567-38.894; late-onset MDDIS with DEDS: HR = 6.099; 95% CI = 2.123-17.524). CONCLUSIONS: Late-onset depressive episodes with DEDS are risk factors for dementia and AD development, regardless of the severity of the depression.
OBJECTIVE: The objective of this study was to estimate several subtypes of depressive disorders as risk factors for dementia and Alzheimer disease (AD) specifically. METHODS: This is a population-based cohort study using a sample of 451 non-demented older people. Adjusted Cox proportional hazard models were calculated to determine the association of depression with dementia or AD development after 5 years. Baseline evaluation included the Cambridge Mental Disorders of the Elderly Examination (CAMDEX). Depressive disorders (major episode [MD] and minor depressive disorders [MDDIS]) were assessed following DSM-IV criteria and further classified according to the age at onset (early versus late onset). In turn, all late-onset depressions were grouped as with or without depression-executive dysfunction syndrome (DEDS). Dementia (and dementia subtypes) diagnoses were made using the CAMDEX. When the patients were deceased, the Retrospective Collateral Dementia Interview was used. RESULTS: Late-onset depressions (both MD and MDDIS) were associated with increased dementia (hazard ratio [HR] = 2.635; 95% CI = 1.153-6.023; and HR = 2.517; 95% CI = 1.200-5.280, respectively), and AD (HR = 6.262; 95% CI = 2.017-19.446; and HR = 4.208; 95% CI = 1.828-9.685, respectively) after adjustment by age, gender, marital status, education, cognitive impairment, executive function and stroke history. A second model revealed that only late-onset depressions with DEDS increased the risk for both dementia (late-onset MD with DEDS: HR = 6.262; 95% CI = 2.017-19.446; late-onset MDDIS with DEDS: HR = 4.208; 95% CI = 1.828-9.685) and AD (late-onset MD with DEDS: HR = 7.807; 95% CI = 1.567-38.894; late-onset MDDIS with DEDS: HR = 6.099; 95% CI = 2.123-17.524). CONCLUSIONS: Late-onset depressive episodes with DEDS are risk factors for dementia and AD development, regardless of the severity of the depression.
Authors: Doyoung Kim; RuoDing Wang; Alex Kiss; Susan E Bronskill; Krista L Lanctot; Nathan Herrmann; Damien Gallagher Journal: Am J Geriatr Psychiatry Date: 2021-01-06 Impact factor: 7.996
Authors: Katharine K Brewster; Mei-Chen Hu; Sigal Zilcha-Mano; Alexandra Stein; Patrick J Brown; Melanie M Wall; Steven P Roose; Justin S Golub; Bret R Rutherford Journal: J Gerontol A Biol Sci Med Sci Date: 2021-04-30 Impact factor: 6.591