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1.
Neuroepidemiology ; 34(4): 222-9, 2010.
Artigo em Inglês | MEDLINE | ID: mdl-20299802

RESUMO

BACKGROUND: Obesity indices (i.e. BMI, waist-to-hip ratio) show differential relationships to other health outcomes, though their association to neurocognitive outcome is unclear. METHODS: We examined whether central obesity would be more closely associated with cognitive function in 1,703 participants from the Baltimore Longitudinal Study of Aging. RESULTS: Longitudinal mixed-effects regression models showed multiple obesity indices were associated with poorer performance in a variety of cognitive domains, including global screening measures, memory, and verbal fluency tasks. Obesity was associated with better performance on tests of attention and visuospatial ability. An obesity index by age interaction emerged in multiple domains, including memory and attention/executive function. CONCLUSION: Obesity indices showed similar associations to cognitive function, and further work is needed to clarify the physiological mechanisms that link obesity to poor neurocognitive outcome.


Assuntos
Envelhecimento/fisiologia , Transtornos Cognitivos/fisiopatologia , Cognição/fisiologia , Obesidade/fisiopatologia , Idoso , Idoso de 80 Anos ou mais , Envelhecimento/psicologia , Atenção/fisiologia , Baltimore , Índice de Massa Corporal , Transtornos Cognitivos/complicações , Transtornos Cognitivos/psicologia , Função Executiva/fisiologia , Feminino , Humanos , Estudos Longitudinais , Masculino , Memória/fisiologia , Pessoa de Meia-Idade , Testes Neuropsicológicos , Obesidade/complicações , Obesidade/psicologia , Análise de Regressão , Relação Cintura-Quadril
2.
Am J Epidemiol ; 168(10): 1179-89, 2008 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-18835864

RESUMO

Adiposity status and change are potential risk factors for Alzheimer's disease (AD). The authors used data on 2,322 participants in the Baltimore Longitudinal Study of Aging to analyze the relation between AD incidence and adiposity in Cox proportional hazards models, with adjustment for sociodemographic factors and smoking status. Body mass index (BMI; weight (kg)/height (m)(2)) and waist circumference at specific ages were predicted by empirical Bayes estimators from mixed-effects regression models. After a median of 23.4 years of follow-up between 1958 and 2006, 187 participants developed AD. Among men, being underweight (BMI or=30) at age 30, 40, or 45 years and jointly centrally obese (waist circumference >or=80th percentile) at age 30, 35, or 50 years increased AD risk (HR = 6.57, 95% CI: 1.96, 22.02). Women who lost weight (BMI change <10th percentile) between ages 30 and 45 years were also at increased risk (HR = 2.02, 95% CI: 1.06, 3.85). Weight gain among men (BMI change >90th percentile) between ages 30 and 50 years increased AD risk (HR = 3.70, 95% CI: 1.43, 9.56). Future studies should identify age- and gender-specific optimal weights and weight-loss strategies for preventing AD and investigate potential mechanisms.


Assuntos
Adiposidade , Doença de Alzheimer/etiologia , Adulto , Envelhecimento/fisiologia , Doença de Alzheimer/epidemiologia , Baltimore/epidemiologia , Teorema de Bayes , Índice de Massa Corporal , Feminino , Humanos , Incidência , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Fatores de Risco
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