OBJECTIVES: To provide age- and gender-specific incidence rates of MCI among elderly general practitioner (GP) patients (75+ years) and to identify risk factors for incident MCI. METHOD: Data were derived from the longitudinal German Study on Ageing, Cognition and Dementia in Primary Care Patients (AgeCoDe). Incidence was calculated according to the 'person-years-at-risk' method. Risk factors were analysed using multivariate logistic regression models. RESULTS: During the 3-year follow-up period, 350 (15.0%) of the 2331 patients whose data were included in the calculation of incidence developed MCI [person-years (PY) = 6198.20]. The overall incidence of MCI was 56.5 (95% confidence interval = 50.7-62.7) per 1000 PY. Older age, vascular diseases, the apoE epsilon4 allele and subjective memory complaints were identified as significant risk factors for future MCI. CONCLUSION: Mild cognitive impairment is frequent in older GP patients. Subjective memory complaints predict incident MCI. Especially vascular risk factors provide the opportunity of preventive approaches.
OBJECTIVES: To provide age- and gender-specific incidence rates of MCI among elderly general practitioner (GP) patients (75+ years) and to identify risk factors for incident MCI. METHOD: Data were derived from the longitudinal German Study on Ageing, Cognition and Dementia in Primary Care Patients (AgeCoDe). Incidence was calculated according to the 'person-years-at-risk' method. Risk factors were analysed using multivariate logistic regression models. RESULTS: During the 3-year follow-up period, 350 (15.0%) of the 2331 patients whose data were included in the calculation of incidence developed MCI [person-years (PY) = 6198.20]. The overall incidence of MCI was 56.5 (95% confidence interval = 50.7-62.7) per 1000 PY. Older age, vascular diseases, the apoE epsilon4 allele and subjective memory complaints were identified as significant risk factors for future MCI. CONCLUSION: Mild cognitive impairment is frequent in older GP patients. Subjective memory complaints predict incident MCI. Especially vascular risk factors provide the opportunity of preventive approaches.
Authors: Minerva M Carrasquillo; Julia E Crook; Otto Pedraza; Colleen S Thomas; V Shane Pankratz; Mariet Allen; Thuy Nguyen; Kimberly G Malphrus; Li Ma; Gina D Bisceglio; Rosebud O Roberts; John A Lucas; Glenn E Smith; Robert J Ivnik; Mary M Machulda; Neill R Graff-Radford; Ronald C Petersen; Steven G Younkin; Nilüfer Ertekin-Taner Journal: Neurobiol Aging Date: 2014-08-04 Impact factor: 4.673
Authors: Nancy J Donovan; Rebecca E Amariglio; Amy S Zoller; Rebecca K Rudel; Teresa Gomez-Isla; Deborah Blacker; Bradley T Hyman; Joseph J Locascio; Keith A Johnson; Reisa A Sperling; Gad A Marshall; Dorene M Rentz Journal: Am J Geriatr Psychiatry Date: 2014-02-26 Impact factor: 4.105
Authors: Heather D Lucas; Jim M Monti; Edward McAuley; Patrick D Watson; Arthur F Kramer; Neal J Cohen Journal: Neuropsychology Date: 2016-04-07 Impact factor: 3.295
Authors: André Hajek; Christian Brettschneider; Annette Ernst; Tina Posselt; Birgitt Wiese; Jana Prokein; Siegfried Weyerer; Jochen Werle; Angela Fuchs; Michael Pentzek; Janine Stein; Steffi G Riedel-Heller; Horst Bickel; Edelgard Mösch; Kathrin Heser; Frank Jessen; Wolfgang Maier; Martin Scherer; Hans-Helmut König Journal: Soc Psychiatry Psychiatr Epidemiol Date: 2015-10-23 Impact factor: 4.328