Walnuts and Healthy Aging
- Conditions
- Age Related Cognitive DeclineAge Related Macular Degeneration
- Interventions
- Other: habitual dietDietary Supplement: Walnuts
- Registration Number
- NCT01634841
- Lead Sponsor
- Loma Linda University
- Brief Summary
This will be a systematic investigation of the role of walnuts in preventing or slowing age related cognitive decline and age related macular degeneration. 700 subjects will be recruited between 2 sites, Loma Linda University in California, USA and Hospital Clinic in Barcelona, Spain. Participants will be randomly assigned to either the walnut group or the control group for a 2 year intervention. Baseline and annual data will be collected and analyzed.
- Detailed Description
Epidemiological studies suggest that nutrients such as n-3 polyunsaturated fatty acid, antioxidants and B-vitamins may protect against age related cognitive decline. Small human studies have shown beneficial effects of polyphenol rich foods on cognition and age related macular degeneration. Walnuts are a rich source of n-3 polyunsaturated fatty acid, alpha-linolenic acid, antioxidants, polyphenols and other bioactive compounds. A 2-year intervention will be conducted with healthy, elderly subjects to investigate the role of walnuts in preventing or slowing age related cognitive decline and age related macular degeneration.
350 subjects, age 63 to 79 years, will be recruited at each of 2 sites, Loma Linda University in California and Hospital Clinic in Barcelona. Participants will be randomly assigned to one of two groups: walnut group (habitual diet with 1 or 2 oz/d walnut supplement) or control group (habitual diet only). At baseline and yearly, cardiometabolic risk factors, red blood cell membrane fatty acids, urinary polyphenols and biomarkers of inflammation and oxidation will be measured. Eye exam, blood pressure and cognitive function tests will be measured at the beginning and end of 2 years. At the Barcelona site only, participants will be given a brain MRI and carotid ultrasound.
Descriptive results will be reported as mean plus/minus standard deviation. Primary analysis will be carried out on the basis of groups as randomly assigned. Results will be presented as appropriate effect sizes with a measure of precision (95% CI). Analysis of covariates gender, age, educational status will be conducted.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 708
- 63 to 79 years old
- healthy men and women
- able to attend clinic at a study sites
- illiteracy or inability to understand the protocol
- unable to undergo neurophysiological tests
- morbid obesity (BMI greater than or equal to ≥ 40 kg/m2)
- uncontrolled diabetes (HbA1c>85)
- uncontrolled hypertension
- prior cerebrovascular accident
- any relevant psychiatric illness, including major depression
- advanced cognitive deterioration, dementia
- other neurodegenerative diseases (i.e. Parkinson's disease)
- any chronic illness expected to shorten survival (heart, liver, cancer, etc)
- bereavement in the first year of loss
- bad dentures unless fixable dental prostheses are used
- allergy to walnuts
- customary us of fish oil or flaxseed oil supplements
- eye related exclusion criteria
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Control group habitual diet This group will eat their habitual diet and refrain from eating walnuts. Walnut group Walnuts This group will have their habitual diet supplemented with 30 to 45g (1 to 1.5 oz) of walnuts daily.
- Primary Outcome Measures
Name Time Method Changes from baseline in global cognitive composite score 2 years The composite score will be calculated using the scores from the tests listed below. We will calculate the standardized scores of each test as the score of each participant minus the group mean and divide by its standard deviation. The composite score is the mean of the standardized scores.
The 12 tests are: Rey Auditory Verbal Learning Test (RAVLT), Rey-Osterrieth Complex Figure (ROCF), Semantic Fluency (Animals), Boston Naming Test (BNT), Visual Object and Space Perception Battery (VOSP), Block Design section from the Wechsler Adult Intelligence Scale (WAIS-III), Trail Making Test (TMT), FAS Word Fluency, Stroop Color Word Test, Symbol Digit Modalities Test (SMDT) Digit Span from the WAIS-III and Conners Continuous Performance Test (CPT-II).Changes from baseline in macular degeneration 2 years This will be assessed: by stereoscopic digitized color fundus images graded by International Classification System for Age-Related Maculopathy (score range. 0 to 4; the higher the score, the worse the condition); by optical coherence tomography (OCT) measurements of macular thickness (in µm); by optical coherence tomography (OCT) measurements of retinal nervous fiber layer thickness (in µm).
- Secondary Outcome Measures
Name Time Method Changes from baseline in brain activation 2 years Changes will be assessed by Functional MRI (fMRI) on a randomly selected subset of participants. Only in Barcelona center. There are no units of measure.
Change from baseline in brain cortical thickness 2 years Changes will be assessed by brain magnetic resonance imaging (MRI) on a randomly selected subset of participants. Only in Barcelona center. Unit of measure is mm2.
Change from baseline in perfusion arterial spin labeling 2 years Changes will be assessed by brain magnetic resonance imaging (MRI) on a randomly selected subset of participants. Only in Barcelona center. Unit of measure is ml/100 g/min.
Change from baseline in voxel-based morphometry 2 years Changes will be assessed by brain magnetic resonance imaging (MRI) using GM density maps on a randomly selected subset of participants. Only in Barcelona center. Unit of measure is GM density.
Change from baseline in white matter hyperintensity volumes 2 years Changes will be assessed by brain magnetic resonance imaging (MRI) on a randomly selected subset of participants. Only in Barcelona center. Unit of measure is mL.
Trial Locations
- Locations (2)
Hospital Clinic, University of Barcelona
🇪🇸Barcelona, Spain
Loma Linda University, Department of Nutrition
🇺🇸Loma Linda, California, United States