Effect of Polyphenol-rich Cocoa Products on Cognitive Function
Study Details
Study Description
Brief Summary
This project aims to investigate whether consumption of cocoa polyphenols has an impact on cognitive function in individuals aged 50 to 60 years of age and if such an improvement is a result of an improvement in risk factors associated with cognitive decline in ageing.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Detailed Description
Healthy cognitive ageing is an important aspect of the ageing process as it involves larger numbers of people compared to those who have already been diagnosed with conditions on the dementia spectrum (Deary et al, 2009). Hence, an active effort looking at potential lifestyle factor modification interventions to help maintain cognitive well-being are warranted.
With an ageing population, the prevalence of cognitive syndromes such as Alzheimer's disease and Parkinson's disease increases (Vauzour, 2012). Nutritional interventions can play a role in successful ageing by helping to delay the onset of age-related conditions (Hendrickx, McEwen & van der Ouderaa, 2005; Brown, Riby & Reay, 2009; Monti, Moulton & Cohen, 2015). Studies have investigated the potential role of polyphenols as part of a neuroprotective lifestyle. Mouse model studies have looked at varying polyphenol sources such as tea (Haque et al., 2006; Kaur et al., 2008), blueberry (Shukitt-Hale et al., 2015; Williams et al., 2008), Gingko Biloba (Shif et al., 2008) and cocoa (Bisson et al., 2008) to mention a few.
Ageing and neurodegenerative diseases are caused by neuronal death which in turn can be triggered by neurotoxins, neuroinflammation and specific genetic mutations (Bishop, Lu & Yankner, 2010). Dietary polyphenols have been observed to provide neuroprotection against cellular alteration by modulating the neuronal function against endogenous neurotoxins and inhibition of glial induced neuroinflammation (Vauzour, 2012).
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Active Comparator: Solid Matrix - Intervention Dietary Supplement: polyphenol rich chocolate bar 17.5g of commercially available dark chocolate will be consumed daily for 8 weeks |
Dietary Supplement: polyphenol rich chocolate bar
High polyphenol content chocolate bar. Each participant will consume 581.4mg of polyphenols
|
Active Comparator: Powder Matrix - Intervention Dietary Supplement: polyphenol rich cocoa powder 6g of commercially available cocoa powder (provided as 6 x 1g gelatine capsules) will be consumed daily for 8 weeks |
Dietary Supplement: polyphenol rich cocoa powder
High polyphenol content cocoa powder. Each participant will consume 6g containing 554mg of polyphenols
|
Placebo Comparator: Solid Matrix Intervention - Placebo Dietary Supplement: low polyphenol chocolate 17.5g of commercially available, nutritionally similar, dark chocolate will be consumed daily for 8 weeks |
Dietary Supplement: low polyphenol content chocolate bar
Low polyphenol content matched chocolate bar. Each participant will consume 198.5mg of polyphenols
|
Placebo Comparator: Powder Matrix - Placebo Dietary Supplement: nutritionally similar low polyphenol cocoa powder 6g of commercially available, nutritionally similar, cocoa powder (provided as 6 x 1g gelatine capsules) will be consumed daily for 8 weeks |
Dietary Supplement: low polyphenol content cocoa powder
Low polyphenol content cocoa powder. Each participant will consume 6g containing 191.2mg of polyphenols
|
Outcome Measures
Primary Outcome Measures
- Cognitive Function [8 weeks]
A test battery consisting of 7 tests will be used to investigate the role of cocoa flavanols on cognitive function in the cohort.
Secondary Outcome Measures
- Blood Pressure [8 weeks]
- Pulse Wave Analysis [8 weeks]
Carotid to femoral Pulse Wave Velocity (PWV) and Augmentation Index (Aix) will be measured using a Vicorder.
- Glycated Haemoglobin (HbA1c) [8 weeks]
- Weight (Kg) [8 weeks]
To allow for BMI measurement
- Height (m) [8 weeks]
To allow for BMI measurement
- Body Fat Percentage [8 weeks]
- Energy intakes (Kj) [8 weeks]
- Flavonoid intakes (mg) [8 Weeks]
Eligibility Criteria
Criteria
Inclusion Criteria:
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Males & Females aged 50-60years of age with normal or corrected to normal vision
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BMI cut off points of ≥18.5 to ≤29.9 kg/m2
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Waist circumference smaller than 102cm for males & smaller than 88cm for women
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Blood pressure of ≥ 90 over 60 and ≤ 120 over 80
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MoCA test score ≥ 26
Exclusion Criteria:
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Allergies to cocoa or any other ingredients commonly found in cocoa confectionary eg: milk, nuts, soya
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Smoker
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Women who are new or expecting mothers, maybe or are currently pregnant and/or breastfeeding
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Taking medications for chronic conditions including (but not limited to) diabetes, heart disease, hypertension
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No previous history of stroke, brain trauma and other head-related injuries
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No diagnosis of depression and/or anxiety
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No previous cancer diagnosis
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Taking antibiotics
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Taking steroids and non-steroidal anti-inflammatory drugs (NSAIDS)
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Women on Hormone Replacement Therapy (HRT)
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Taking medication that can cause drowsiness or affect cognitive functioning
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Taking polyphenol supplements including (but not limited to) green tea extract, acai berry extract
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Taking soy/a supplements
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History of alcohol misuse
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Fear of needles and/or fainting when blood is taken
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Queen Margaret University | Edinburgh | United Kingdom |
Sponsors and Collaborators
- Queen Margaret University
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
- Bishop NA, Lu T, Yankner BA. Neural mechanisms of ageing and cognitive decline. Nature. 2010 Mar 25;464(7288):529-35. doi: 10.1038/nature08983. Review.
- Bisson JF, Nejdi A, Rozan P, Hidalgo S, Lalonde R, Messaoudi M. Effects of long-term administration of a cocoa polyphenolic extract (Acticoa powder) on cognitive performances in aged rats. Br J Nutr. 2008 Jul;100(1):94-101. doi: 10.1017/S0007114507886375. Epub 2008 Jan 8.
- Brown LA, Riby LM, Reay JL. Supplementing cognitive aging: a selective review of the effects of ginkgo biloba and a number of everyday nutritional substances. Exp Aging Res. 2010 Jan-Mar;36(1):105-22. doi: 10.1080/03610730903417960. Review.
- Deary IJ, Corley J, Gow AJ, Harris SE, Houlihan LM, Marioni RE, Penke L, Rafnsson SB, Starr JM. Age-associated cognitive decline. Br Med Bull. 2009;92:135-52. doi: 10.1093/bmb/ldp033.
- Haque AM, Hashimoto M, Katakura M, Tanabe Y, Hara Y, Shido O. Long-term administration of green tea catechins improves spatial cognition learning ability in rats. J Nutr. 2006 Apr;136(4):1043-7.
- Hendrickx H, McEwen BS, Ouderaa Fv. Metabolism, mood and cognition in aging: the importance of lifestyle and dietary intervention. Neurobiol Aging. 2005 Dec;26 Suppl 1:1-5. Epub 2005 Nov 14. Review.
- Kaur T, Pathak CM, Pandhi P, Khanduja KL. Effects of green tea extract on learning, memory, behavior and acetylcholinesterase activity in young and old male rats. Brain Cogn. 2008 Jun;67(1):25-30. Epub 2007 Dec 19.
- Monti JM, Moulton CJ, Cohen NJ. The role of nutrition on cognition and brain health in ageing: a targeted approach. Nutr Res Rev. 2015 Dec;28(2):167-180.
- Shif O, Gillette K, Damkaoutis CM, Carrano C, Robbins SJ, Hoffman JR. Effects of Ginkgo biloba administered after spatial learning on water maze and radial arm maze performance in young adult rats. Pharmacol Biochem Behav. 2006 May;84(1):17-25. Epub 2006 Jun 5.
- Shukitt-Hale B, Bielinski DF, Lau FC, Willis LM, Carey AN, Joseph JA. The beneficial effects of berries on cognition, motor behaviour and neuronal function in ageing. Br J Nutr. 2015 Nov 28;114(10):1542-9. doi: 10.1017/S0007114515003451. Epub 2015 Sep 22.
- Vauzour D. Dietary polyphenols as modulators of brain functions: biological actions and molecular mechanisms underpinning their beneficial effects. Oxid Med Cell Longev. 2012;2012:914273. doi: 10.1155/2012/914273. Epub 2012 Jun 3. Review.
- Williams CM, El Mohsen MA, Vauzour D, Rendeiro C, Butler LT, Ellis JA, Whiteman M, Spencer JP. Blueberry-induced changes in spatial working memory correlate with changes in hippocampal CREB phosphorylation and brain-derived neurotrophic factor (BDNF) levels. Free Radic Biol Med. 2008 Aug 1;45(3):295-305. doi: 10.1016/j.freeradbiomed.2008.04.008. Epub 2008 May 5.
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