D Brubacher1, A U Monsch, H B Stähelin. 1. Memory Clinic, Geriatric University Hospital, Basel, Switzerland. dorothee.brubacher@unibas.ch
Abstract
OBJECTIVE: To investigate whether under- or overweight and weight change is associated with cognitive performance of elderly citizens. DESIGN: Explorative analysis out of the Basel Study cohort. SUBJECTS: In all, 531 healthy subjects (445 men/86 women) were assessed with the Consortium to Establish a Registry for Alzheimer's Disease-Neuropsychological Assessment Battery (CERAD-NAB) in 2000 (age: 69.4+/-7.8 y) and weight measurements obtained in 1990 (body mass index (BMI): 25.2+/-3.1 kg/m(2)) and in 2000 (BMI: 25.6+/-3.4 kg/m(2)). METHODS: The predictive power of the annual change in BMI with cognitive performance was investigated by a binary logistic regression analysis (backward) using sex, age, BMI 1990, BMI 2000, diastolic blood pressure, diabetes status, and optimal health status as additional predictors. RESULTS: In the last step, the following variables remained in the model: annual change in BMI (quadratic term; P<0.01); ApoE genotype (P<0.05); and optimal health status (P<0.01). CONCLUSION: The association between the extent of weight change and poorer cognitive performance could be either a consequence of cognitive impairment or an early symptom of neurodegenerative decline.
OBJECTIVE: To investigate whether under- or overweight and weight change is associated with cognitive performance of elderly citizens. DESIGN: Explorative analysis out of the Basel Study cohort. SUBJECTS: In all, 531 healthy subjects (445 men/86 women) were assessed with the Consortium to Establish a Registry for Alzheimer's Disease-Neuropsychological Assessment Battery (CERAD-NAB) in 2000 (age: 69.4+/-7.8 y) and weight measurements obtained in 1990 (body mass index (BMI): 25.2+/-3.1 kg/m(2)) and in 2000 (BMI: 25.6+/-3.4 kg/m(2)). METHODS: The predictive power of the annual change in BMI with cognitive performance was investigated by a binary logistic regression analysis (backward) using sex, age, BMI 1990, BMI 2000, diastolic blood pressure, diabetes status, and optimal health status as additional predictors. RESULTS: In the last step, the following variables remained in the model: annual change in BMI (quadratic term; P<0.01); ApoE genotype (P<0.05); and optimal health status (P<0.01). CONCLUSION: The association between the extent of weight change and poorer cognitive performance could be either a consequence of cognitive impairment or an early symptom of neurodegenerative decline.
Authors: Anna Dahl; Linda B Hassing; Eleonor Fransson; Stig Berg; Margaret Gatz; Chandra A Reynolds; Nancy L Pedersen Journal: J Gerontol A Biol Sci Med Sci Date: 2009-04-06 Impact factor: 6.053
Authors: Darren Haywood; Blake J Lawrence; Frank D Baughman; Barbara A Mullan Journal: Int J Environ Res Public Health Date: 2021-01-13 Impact factor: 3.390