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1.
Neurology ; 78(13): 942-9, 2012 Mar 27.
Article in English | MEDLINE | ID: mdl-22422889

ABSTRACT

OBJECTIVE: To examine the association between retinopathy and cognitive decline or brain lesions and volumes in older women. METHODS: This study included 511 women aged 65 and older who were simultaneously enrolled in the Women's Health Initiative Memory Study and the Sight Examination Study. In this analysis, we examined the link between retinopathy, assessed using fundus photography (2000-2002), cognitive performance over time assessed by the modified Mini-Mental State Examination (3MSE) (1996-2007), and white matter hyperintensities and lacunar infarcts in the basal ganglia. RESULTS: Presence of retinopathy was associated with poorer 3MSE scores (mean difference = 1.01, SE: 0.43) (p = 0.019) over a 10-year follow-up period and greater ischemic volumes in the total brain (47% larger, p = 0.04) and the parietal lobe (68% larger, p = 0.01) but not with measures of regional brain atrophy. CONCLUSIONS: The correspondence we found between retinopathy and cognitive impairment, along with larger ischemic lesion volumes, strengthens existing evidence that retinopathy as a marker of small vessel disease is a risk factor for cerebrovascular disease that may influence cognitive performance and related brain changes. Retinopathy may be useful as a clinical tool if it can be shown to be an early marker related to neurologic outcomes.


Subject(s)
Brain Ischemia/pathology , Cognition Disorders/pathology , Cognition/physiology , Retinal Diseases/pathology , Retinal Vessels/pathology , Women's Health , Aged , Aged, 80 and over , Brain Ischemia/epidemiology , Cognition Disorders/epidemiology , Female , Follow-Up Studies , Humans , Middle Aged , Neuropsychological Tests , Retinal Diseases/epidemiology , Risk Factors , Women's Health/trends
2.
Diabetologia ; 53(8): 1581-9, 2010 Aug.
Article in English | MEDLINE | ID: mdl-20422396

ABSTRACT

AIMS/HYPOTHESIS: To determine the associations of baseline depression symptoms and use of antidepressant medicines (ADMs) with baseline cardiovascular disease (CVD) risk factors in Look AHEAD (Action for Health in Diabetes) trial participants. METHODS: Look AHEAD participants (n = 5,145; age 58.7 +/- 6.8 years; BMI 35.8 +/- 5.8 kg/m(2)) were assessed for CVD risk factors (elevated HbA(1c) or insulin use, elevated BP or antihypertensive use, elevated lipid levels or lipid-lowering medication, current smoking, BMI > or = 30 kg/m(2), lower peak exercise capacity assessed as metabolic equivalents [METs], and ankle-brachial index <0.9 or >1.3). Participants also completed the Beck Depression Inventory (BDI) and reported their use of ADMs. RESULTS: Of the participants, 14.7% had BDI scores > or = 11, consistent with mild-moderate depression, and 16.5% took ADMs; 4.4% had both depression markers (i.e. elevated symptom scores and took ADMs). In logistic regression analyses of CVD risk (elevated risk factor or use of medication to control the risk factor), controlled for demographic factors, continuous BDI scores and ADM use were each independently associated with elevated BP (or medication), current smoking, BMI > or = 30 kg/m(2) and lower MET values. ADM use was also associated with elevated serum lipids or use of lipid-lowering medication. CONCLUSIONS/INTERPRETATION: Among Look AHEAD participants, depression symptoms or ADM use on entry to the study were each independently associated with a wide range of CVD risk factors. Future research should assess the temporal dynamics of the relationships of depression symptoms and ADM use with CVD risk factors. TRIAL REGISTRATION: Clinicaltrials.gov NCT00017953 FUNDING: This study is funded by the National Institutes of Health with additional support from the Centers for Disease Control and Prevention.


Subject(s)
Antidepressive Agents/therapeutic use , Cardiovascular Diseases/etiology , Depression/drug therapy , Diabetes Mellitus, Type 2/complications , Aged , Ankle Brachial Index , Blood Glucose , Chi-Square Distribution , Depression/diagnosis , Diabetes Mellitus, Type 2/therapy , Exercise , Female , Humans , Insulin Resistance , Male , Middle Aged , Obesity/complications , Patient Selection , Regression Analysis , Risk Factors , Weight Loss
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