ABSTRACT
The aging population is expanding, as is the prevalence of age-related cognitive decline (ARCD). Of the several risk factors that predict the onset and progression of ARCD, 2 important modifiable risk factors are diet and physical activity. Dietary patterns that emphasize plant foods can exert neuroprotective effects. In this comprehensive review, we examine studies in humans of plant-based dietary patterns and polyphenol-rich plant foods and their role in either preventing ARCD and/or improving cognitive function. As yet, there is no direct evidence to support the benefits of a vegetarian diet in preventing cognitive decline. However, there is emerging evidence for brain-health–promoting effects of several plant foods rich in polyphenols, anti-inflammatory dietary patterns, and plant-based dietary patterns such as the Mediterranean diet that include a variety of fruits, vegetables, legumes, nuts, and whole grains. The bioactive compounds present in these dietary patterns include antioxidant vitamins, polyphenols, other phytochemicals, and unsaturated fatty acids. In animal models these nutrients and non-nutrients have been shown to enhance neurogenesis, synaptic plasticity, and neuronal survival by reducing oxidative stress and neuroinflammation. In this review, we summarize the mounting evidence in favor of plant-centered dietary patterns, inclusive of polyphenol-rich foods for cognitive well-being. Randomized clinical trials support the role of plant foods (citrus fruits, grapes, berries, cocoa, nuts, green tea, and coffee) in improving specific domains of cognition, most notably frontal executive function. We also identify knowledge gaps and recommend future studies to identify whether plant-exclusive diets have an added cognitive advantage compared with plant-centered diets with fish and/or small amounts of animal foods.
Keywords: vegetarian diet, plant-based dietary pattern, polyphenols, berries, nuts, walnuts, cognition, cognitive decline, elderly
Introduction
With the rise in the world's aging population, there is a concomitant increase in the prevalence of age-related cognitive decline (ARCD). In 2015, 8.5% of the global population was aged >65 y (∼617 million); that is expected to rise to 12% by 2030 (∼1 billion), and 16.7% by 2050 (almost 1.6 billion) (1). This is paralleled by an increase in the burden of dementia, the majority of cases being of the Alzheimer type (2). There is a normal decline in cognition as we age, but an accelerated decline is seen in the setting of Alzheimer disease (AD). Full-blown disease is preceded by a long asymptomatic preclinical period lasting a decade or more, followed by mild cognitive impairment (MCI) and, ultimately, AD (3).
A continuum exists from normal cognition to dementia, the onset and progression of which is predicted by a number of risk factors including age, gender, education level, and genetic susceptibility (2, 4). Several modifiable factors increase the risk for ARCD, including midlife obesity, hypertension, diabetes, and current smoking. However, physical activity and a healthy diet appear to decrease the risk (4). According to current thinking, an accumulation of β-amyloid peptide and other abnormal proteins causes oxidative stress, inflammation, and vascular impairment leading to neuronal damage and loss (2). Unfortunately, our understanding of the pathophysiological process of cognitive dysfunction remains incomplete, and at present we lack effective methods to prevent or reverse these changes.
Emerging evidence supports a role for antioxidant-rich foods such as fruits, vegetables, and nuts in improving cognitive health by preventing or delaying the onset of cognitive decline during aging (5–7). Dietary patterns such as the Mediterranean diet, the Dietary Approaches to Stop Hypertension Trial (DASH) diet, and the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet have also been associated with neuroprotective effects (8, 9). Additionally, cognitive decline might be slowed with diets having a low Dietary Inflammatory Index (DII) score, characterized by the presence of anti-inflammatory plant foods and phytonutrients (10). All of these dietary patterns, though not exclusively vegetarian, are plant centered, consisting of plant foods abundant in nutrients such as n–3 (ω-3) PUFAs, vitamin E, vitamin C, phytonutrients including polyphenols, and carotenoids. A significant volume of work has demonstrated that plant-based dietary patterns lower the risk for cardiovascular disease (CVD), type 2 diabetes, and other chronic diseases (11–13). Given that there could be shared pathophysiology between these chronic diseases and neurodegenerative disorders, it is biologically plausible that such dietary patterns have a role in preserving cognition.
The objective of this comprehensive review is to examine evidence that vegetarian diets prevent or delay cognitive decline in elderly adults. Given the lack of direct proof, we rely on indirect support by reviewing studies of plant-based dietary patterns and plant-food effects on cognitive well-being in the elderly. Just within the past 5 y, several reviews have been published focusing on dietary patterns, polyphenol-rich plant-foods, nutrients, and cognition in the elderly (6–20). These reviews have focused primarily on summarizing cognitive outcomes and mechanisms of action. In this review, we explore studies of plant-based dietary patterns and polyphenol-rich plant foods, including berries, fruit juices, cocoa, green tea, coffee, and nuts, in preventing ARCD, with attention to the affected cognitive domains. This review is not exhaustive, but rather an extension of previously published work in this field. We also attempt to identify knowledge gaps and opportunities for future research.
Plant-Based Dietary Patterns and Cognition
Mounting evidence supports the beneficial effects of plant-based dietary patterns in preventing ARCD and dementia. Recent reviews of epidemiological studies and intervention trials indicate that plant foods and nutrients emphasized in the Mediterranean, the DASH, and the MIND dietary patterns could play a crucial role in preventing cognitive impairment (8, 9, 14, 16, 19–24). Although these 3 dietary patterns feature a variety of plant foods, dietary patterns of geographically diverse cohorts also reveal commonalities with regard to the emphasis on certain plant foods and their overall favorable influence on cognition (25–33). These results are also broadly consistent with research investigating the DII in relation to cognitive function (10, 34–37).
The association between plant-focused dietary patterns and cognition among several Asian cohorts is reviewed in Table 1. Plant foods commonly consumed by Asians are green leafy and other vegetables, soy, whole grains, green tea, mushrooms, and seaweed (25–30). Consumption of diets featuring many of these plant foods is associated with reduced risk of cognitive impairment (25, 26), slower rate of cognitive decline (27, 28), better scores on logical memory (29), or higher global cognitive assessment scores (30). Elderly adults from other countries (Norway, Australia, Italy) consuming a diet plentiful in fruits, vegetables, and legumes also show improved cognitive outcomes (31–33). Interestingly, colorful vegetables, fruits, nuts, nonsoy legumes, and olive oil predominant in the Mediterranean diet and other dietary patterns are less emphasized in the Asian diets. Food preparation and processing techniques are also important considerations. In some Asian cohorts (26, 29), the diets associated with improved cognitive outcomes feature stir-fried (in oil) and fermented vegetables (pickled cabbage), which could enhance the bioavailability of phytochemicals (38, 39). Similarly, a “multigrain rice” dietary pattern (brown rice, millets, black rice, barley) compared with a “white rice and noodles” dietary pattern was shown to reduce the risk of cognitive impairment in elderly Asians (26), attributed to the higher total polyphenol content in whole grains (40). Thus, the presence of a variety of plant foods rich in bioavailable bioactive compounds rather than any 1 specific food could be important for preventing ARCD (8–24).
TABLE 1.
First author, year (ref.) | Study design, subjects | Dietary patterns/plant foods | Cognitive outcome | Findings |
---|---|---|---|---|
Chan et al., 2014 (25) | Cohort study, Chinese elderly; n = 1926 men, 1744 women; age >65 y | 1. Vegetables-fruits pattern (green leafy vegetables, other vegetables, tomato, cruciferous vegetables, fruits, soy, legumes, mushroom). 2. Snacks-drinks-milk products pattern (condiments, coffee, nuts, potato, dairy, whole grains, sweets, beverages). 3. Meat-fish pattern | Risk of cognitive impairment | Higher vegetables-fruits pattern and Snacks-drinks-milk products pattern scores were associated with reduced risk of cognitive impairment among women |
Qin et al., 2015 (26) | Prospective cohort study, Chinese elderly, n = 1650, age ≥55 y | 1. Wheat-based diet (wheat, nuts, fruits, red meat, poultry, egg, fish, dairy, sugar, vinegar, soy sauce, plant oil). 2. Rice-pork diet | Global cognitive function | Third tertile of the wheat-based pattern was associated with slower rate of cognitive decline |
Kim et al., 2015 (27) | Cross-sectional study, Korean elderly, n = 765, age ≥60 y | 1. MFDF dietary pattern (multigrain rice, fish, dairy, fruits, fruit juices, soy, nuts, green tea). 2. WNC dietary pattern (white rice, noodles, coffee, soy) | Mini-Mental State Examination—Korean version | MFDF dietary pattern showed lower risk of cognitive impairment compared with the WNC dietary pattern |
Tsai, 2015 (28) | Longitudinal study, Taiwanese elderly, n = 4049, age ≥60 y | 1. Western dietary pattern (meat, poultry, eggs). 2. Traditional dietary pattern (≥3 servings beans/legumes, ≥7 servings fruits/vegetables, 1–5 servings fish). 3. Healthy dietary pattern (≥3 servings beans/legumes, ≥10 servings fruits/vegetables, ≥5 servings fish) | Short portable mental state questionnaire | Western dietary pattern increased the risk of cognitive decline over 8 y |
Chen et al., 2017 (29) | Prospective cohort study, Chinese elderly, n = 475, age ≥65 y | 1. Vegetable pattern (green leafy vegetables, vegetables with oil, light-colored vegetables, tuber). 2. Meat pattern. 3. Traditional pattern | Global cognition and domain-specific cognition | Vegetable dietary pattern protected against decline of logical memory; a high-score Meat dietary pattern protected against attention decline; a high-score Traditional dietary pattern protected against logical memory recall |
Okubo et al., 2017 (30) | Cross-sectional, Japanese elderly, n = 635, age 69–71 y | 1. Plant foods and fish pattern (green leafy vegetables, other vegetables, soy, seaweed, mushroom, potato, fruits, fish, green tea). 2. Rice and miso soup pattern. 3. Animal food pattern | Japanese version of the Montreal Cognitive Assessment | Plant foods and fish pattern associated with higher MoCA-J score |
MoCA-J, Japanese version of the Montreal Cognitive Assessment; ref., reference.
Assessing a diet's inflammatory potential is a relatively new concept wherein foods and nutrients are scored for their pro- or anti-inflammatory effect, that is, the DII. Diets that are proinflammatory or have a high DII score are associated with higher risk of MCI or poor cognitive outcomes (10, 34–37). Conversely, adherence to low-DII diets such as the Mediterranean diet that incorporate a variety of plant foods rich in bioactive compounds show favorable cognitive outcomes (41–44). Polyphenol-rich plant foods, a common feature of the Mediterranean, the DASH, and the MIND dietary patterns (8, 9, 19–24), as well as other geographically diverse dietary patterns (25–37), might play a critical role in conferring cognitive benefits by suppressing inflammation (9, 10, 16). Although many cohort studies support an association of plant-based dietary patterns with cognition, to date only the Mediterranean dietary pattern is supported by evidence from randomized clinical trials (RCTs). In both healthy elderly adults and in participants with high vascular risk, supplementing the Mediterranean diet with extra-virgin olive oil (EVOO) improved cognitive function in the short term (45) and favorably influenced gross global cognition (46) in the long term. Both EVOO and mixed nuts added to the Mediterranean diet produced domain-specific effects, with EVOO improving frontal function, and mixed nuts improving memory composite scores (47, 48). In these RCTs, the emphasis was not on the overall dietary pattern, but specifically on increasing the quantity of unsaturated fatty acids and phytonutrients utilizing a single food. That the effects of EVOO and walnuts were demonstrated in patients at high risk of vascular disease as well as healthy subjects speaks to the potential role of vascular risk in precipitating cognitive deficits. It could be that the neurocognitive benefits of the Mediterranean diet are mediated through a reduction in vascular disease risk (49).
Although the presence of anti-inflammatory plant foods seems to have a favorable impact on cognition, the specific cognitive domains affected remain undetermined. This is partly due to inconsistencies across studies with regard to cognitive assessments, which vary from simple determination of risk of cognitive impairment to measures of gross cognition [Mini-Mental State Examination (MMSE), Short Portable Mental State Exam], global cognition scores (Montreal Cognitive Assessment), or a comprehensive domain-specific neurocognitive battery of tests (19–33). Some of the more common cognitive assessments are related to orientation, visuospatial orientation, praxis, abstract thinking, language, executive function, and learning memory. There is some indication that dietary patterns or foods can exert domain-specific effects. In elderly Chinese adults, for example, a “vegetable” dietary pattern protected against decline in verbal memory, but increased the risk of decline in executive function (29). In the same cohort, a “meat” dietary pattern was protective against decline in attention and working memory, but increased the risk of decline in semantic fluency. Such contrasting results might reflect differential effects of dietary patterns on specific areas of cognitive function such that vegetable-rich diets have a stronger relation to mechanisms associated with memory as opposed to frontal-executive function. This highlights the importance of assessing multiple cognitive domains in future studies of diet and cognition. Furthermore, the seemingly ambiguous result in this cohort might be due to an overlap of plant foods between the “vegetable” and “meat” dietary patterns. It could be that the presence of certain plant foods more than the absence of meat is responsible for the observed neurocognitive benefits.
Whereas in Western countries intake of red meat has been associated with poor cognitive outcomes (50), among elderly Asians there seems to be either a beneficial effect on (29) or no association with (25) cognition. This could be due to the low amount of red meat consumed by Asians (35 g/d) (26) compared with Western populations (128 g/d) (51). Unlike red meat, the type of fish rather than the amount seems to matter for cognitive benefit provided the background diet includes a variety of plant-based foods (26, 27, 30). Specifically, consumption of tuna and dark-meat fish has been associated with better verbal-memory scores than consumption of light-meat fish in older women (52). However, when the background diet includes fish but places limited emphasis on plant foods, no cognitive benefits are noted (25). Other nonflesh animal foods like dairy and eggs are not associated with cognitive decline (53) or incident dementia (54). In fact, moderate egg consumption could be beneficial for cognition, attributed partly to the high lutein and zeaxanthin content of eggs. These xanthophylls could influence cognitive health of older adults by improving visual perception and decision-making (55). Whether the presence of fish, egg, or small amounts of red meat in an otherwise plant-abundant diet has a similar or greater effect on cognitive function can only be teased out if we compare vegetarian, vegan, and pesco-vegetarian cohorts sharing similar nondietary lifestyle habits, a consideration for future studies.
The plant-based dietary patterns, although emphasizing a variety of plant foods, typically also limit red meat, butter, stick margarine, whole-fat cheese, pastries, sweets, and fried/fast foods, which increase the intake of saturated fat, trans fat, and arachidonic acid. These unhealthy fats tend to disrupt blood–brain barrier function, increase β-amyloid plaques, and predict cognitive decline (56, 57). Using fMRI, a high–palmitic acid diet was seen to increase brain activation in the basal ganglia during the performance of working tasks, compared with diets high in oleic acid (58). In contrast, specific plant foods rich in antioxidant nutrients and phytonutrients protect the brain by reducing the oxidative burden on neuronal cells and inhibiting the deposition of β-amyloid plaques (18). In summary, the neuroprotective effects of the plant-based dietary patterns and plant foods can be mediated by a reduction in vascular and cardiometabolic risk, and by nonvascular mechanisms such as suppression of oxidative stress and inflammation (7,11–13, 49).
Some of the common plant foods represented in these plant-based dietary patterns have been studied for their effects on cognition in the elderly, including polyphenol-rich fruit juices, berries, cherries, cocoa, green tea, coffee, and nuts. In the next sections we review these foods and identify specific cognitive domains that are most responsive to them.
Polyphenol-Rich Foods and Cognition
Fruit juices
There is substantial evidence from animal studies to support the brain-health–promoting effects of polyphenols (18), and emerging evidence to support the association of polyphenol intake with delayed cognitive decline in older adults (48). In Table 2, studies of polyphenol-rich fruit juices are reviewed. Fruit juices, including orange, grape, and pomegranate juice, appear to have positive effects on cognition, although the number of studies is small. High-flavanone orange juice (OJ) compared with a low-flavanone control (500 mL/d for 8 wk) in healthy older adults improved global cognition, calculated as the mean z-score of multiple tests of executive function and episodic memory (59). Notably, on tests of episodic memory, effects were observed mainly on immediate recall, which tends to reflect frontal executive aspects of attention and memory encoding. There was also a trend toward improved executive function following the high-flavanone OJ consumption. The flavanone hesperidin, the dominant polyphenol in OJ, has been shown in animal models to scavenge free radicals and reduce the oxidative burden in neuronal cells due to brain aging (60).
TABLE 2.
Food | Author, year (ref.) | Study design | Subjects | Duration | Results |
---|---|---|---|---|---|
Orange juice | Kean et al., 2015 (59) | RCT crossover design: high-flavanone (305 mg) 100% orange juice vs. low-flavanone (37 mg) placebo in 2 divided doses daily | 37 healthy older adults (mean age 67 y) | 8 wk.4-wkwash-out | Global cognitive function was significantly improved with high-flavanone orange juice (P < 0.05) |
Pomegranate juice | Bookheimer et al., 2013 (62) | RCT: POM Wonderful pomegranate juice 8 oz daily vs. placebo | 32 older adults, 28 completing (mean age 63.1 ± 8.0 y) with age-related memory decline (not MCI) | 4 wk | Improvement on the Buschke selective reminding test of verbal memory (total recall score P = 0.029, long-term retrieval score P = 0.022) and increased fMRI brain activation on visual and verbal memory tasks (P = 0.05) in the intervention group |
Grape juice, grapes | Krikorian et al., 2010 (63) | RCT: 100% Concord grape juice (6 and 9 mL/kg) vs. placebo (no polyphenols) in 3 divided doses daily | 12 older adults (mean age 78.2 ± 5 y) with MCI | 12 wk | Improved verbal learning on the California Verbal Learning Test in the intervention group (P = 0.04) |
Krikorian et al., 2012 (64) | RCT: 100% Concord grape juice (6.3−7.8 mL/kg) vs. placebo (no polyphenols) in 3 divided doses daily | 21 older adults (mean age 76.9 ± 6.1 y) with MCI | 16 wk | No difference in learning and retention scores, but reduced semantic interference on memory tasks (P < 0.004), and greater activation of portions of the right hemisphere on fMRI with treatment | |
Lee et al., 2017 (65) | RCT: active grape formulation with 36 g freeze-dried grape powder in H2O vs. placebo twice daily | 10 older adults (mean age 72.2 ± 4.7 y) with MCI | 6 mo | Stable brain metabolism in the intervention group vs. declines in areas associated with AD in the placebo group (P < 0.05); no difference in neuropsychological assessments | |
Calapai et al., 2017 (67) | RCT: 250 mg/d grape extract supplement vs. placebo for 12 wk | 111 healthy older adults (mean age 66.9 ± 5.2 y) with MCI | 12 wk | Improved cognitive performance (higher MMSE scores) after intervention and ameliorated negative neuropsychological status (P ≤ 0.0001) |
AD, Alzheimer disease; MCI, mild cognitive impairment; MMSE, Mini-Mental State Examination; RCT, randomized clinical trial; ref., reference.
Pomegranate juice has the highest concentration of phenolics and exhibits the most antioxidant activity among antioxidant-rich beverages in the United States, followed by red wine, Concord grape juice, and blueberry juice (61). The polyphenols in pomegranate juice are predominantly anthocyanins and hydrolysable tannins, including glycosides of ellagic acid. Older adults who consumed pomegranate juice [8 oz/d (225 g/d)] for 4 wk had improved encoding and retrieval on a test of verbal memory compared with the placebo group (62) accompanied by verbal and visual task-specific increases in brain activation on fMRI. Pomegranate polyphenols appeared to increase memory performance through increased task-specific cerebral blood flow.
Four small RCTs compared daily grape consumption (100% Concord grape juice or an active grape formulation of freeze-dried grape powder from California grapes) with a placebo drink in older adults. Daily Concord grape juice consumption (6.3–7.8 mL/kg body weight for 16 wk) led to improvements on the California Verbal Learning Test scores compared with placebo (63) in elderly adults with early memory decline, but not dementia. In a follow-up study (64), no difference was observed on the Verbal Learning Test after 16 wk of daily Concord grape juice, but the intervention reduced semantic interference errors in memory tasks (ability to differentiate learned material from foils), and increased activation of portions of the right cortex during a memory task with fMRI. In a longer trial (65), also in the setting of MCI, daily intake of grape extract (36 g) for 6 mo showed no differences on neuropsychological tests, but was associated with stable brain metabolism compared with declines in areas associated with AD in the placebo group. Such declines are considered a precursor to AD-related neurodegeneration and functional decline (66). Following a 12-wk intervention with a grape extract–based dietary supplement (250 mg/d), healthy elderly participants demonstrated a significant improvement in MMSE scores and domain-specific scores in attention, immediate and delayed memory, and language compared with participants given a placebo (67). Concord grape juice polyphenols include anthocyanins, hydroxycinnamic acids, procyanidins, and flavan-3-ol monomers. Flavonoids in grapes have the potential to suppress oxidative stress and influence signal transduction pathways that enhance the expression of the neurotropic factors such as brain-derived neurotropic factor (BDNF) (18).
Cherries are polyphenol-rich fruit studied for their brain health properties. No acute cognitive effects were observed with either sweet or tart cherry juice at 5 h and 6 h postconsumption in either young or older adults, with or without dementia (68, 69). However, a long-term (12 wk) intervention with cherry juice (200 mL/d) in older adults with mild to moderate Alzheimer-type dementia showed significant improvement in semantic verbal fluency and verbal learning and memory, the functions in which AD patients tend to experience the earliest and most prominent deficits (70). Improvement in systolic blood pressure was seen with both acute and longer-term treatments with cherry juice, and this could be a mediating mechanism for the prevention of cognitive decline (69).
Overall, citrus fruit juices, pomegranate juice, grape juice, and cherry juice, all with large amounts of polyphenols of different subtypes, appear to exert brain-protective effects and improve global or domain-specific cognitive function in as little as 4 wk of intervention. Based on the above studies, acute benefits after a single dose are unlikely and longer-term daily consumption could be necessary to achieve observable effects on cognition. Further, benefits might be less relevant for younger adults and more pronounced in older adults at risk for either age-related or pathological cognitive decline. Specifically, there appears to be most benefit in frontal-executive functions including attention and memory encoding and retrieval. The typical servings used in these studies are reasonable for human consumption. Additionally, polyphenols in 100% fruit juice could inhibit the absorption of some naturally occurring sugars and potentially help substitute nutrient-poor sugar-sweetened beverages. However, a recommendation to increase consumption of fruit juices should include the proviso that they be 100% fruit juice and within acceptable serving sizes. Just one serving [8 oz (225 g)] of fruit juice contains 21–37 g natural sugar depending on the type, and can inadvertently increase sugar intake. Perils of excess sugar include an increase in insulin resistance with concomitant blunting of the immune response, and an increased risk of cardiometabolic and other chronic disease outcomes (71–73). Compared with fruits and fruit juices, vegetables tend to have lower sugar content and a stronger protective effect on cognitive outcomes than fruit intake (5, 74). In fact, deeply pigmented vegetables are more anti-inflammatory and are associated with slower cognitive decline (74–76). Public health recommendations must therefore consider the risk-to-benefit ratio of phytochemical-rich vegetables compared with 100% fruit juice consumption with regards to slowing cognitive decline. Currently, there is a paucity of clinical trials exploring the chronic effects of vegetable consumption on cognition, a consideration for the future. There is also a need for epidemiological and intervention studies to consider the quantity and type of fruits and vegetables (both whole fruit and vegetable and 100% juices) in the context of cognitive functions in the elderly.
Fruits: berries
Following evidence from animal studies supporting the role of berry-rich diets in motor function, working memory, and increased neurogenesis (77, 78), human studies have supported the use of berries to improve cognitive well-being (60, 79–81). In the Nurses’ Health Study, strawberries and blueberries were significantly associated with slower decline in global cognition and verbal memory among older women (61). Three RCTs evaluated the effects on cognition of supplementing various blueberry formulations, and a fourth utilized a mixed-berry drink containing blueberries, blackcurrants, elderberries, lingonberries, strawberries, and tomatoes (82–86) (Table 3). A freeze-dried blueberry supplement (equivalent to ∼150 g fresh blueberries) for 90 d resulted in declines in both repetition errors on a verbal learning test and switching errors on a task-switching test in healthy elderly adults (83). Similarly, intake of blueberry concentrate for 3 mo improved episodic recognition memory and visual working memory performance in healthy older adults (84). In combination with other fruits and berries, blueberries improved working memory in healthy elderly subjects after just 5 wk, though no effects were observed in the areas of selective attention or psychomotor reaction time (85). Enhancement of verbal memory function with blueberry supplementation is also evident among elderly participants with early cognitive decline or more serious cognitive complaints (82, 86–88). According to fMRI, the positive impact on domains of cognition from blueberry supplementation seems to be accompanied by improved brain perfusion and activation of brain areas related to cognitive function (84).
TABLE 3.
Author, year (ref.) | Study design | Subjects | Duration | Results |
---|---|---|---|---|
Whyte et al., 2018 (82) | RCT: whole wild blueberry powder 500 mg or 1000 mg, vs. wild blueberry extract 100 mg vs. placebo for 6 mo | 122 healthy older adults, age range 65–80 y | 6 mo | Wild blueberry extract facilitated better episodic memory performance at 3 mo but not 6 mo, and lower SBP at both time points compared with placebo. No significant effects with blueberry powder |
Miller et al., 2018 (83) | RCT: freeze-dried blueberries 24 g/d (equivalent to 1 cup blueberries; ∼36 mg/g polyphenols, ∼19.2 mg/g anthocyanins) vs. placebo in 2 divided doses daily | 37 healthy older adults aged 60–75 yMean age: blueberry, 67.8 ± 4.6 y; placebo, 67.3 ± 4.8 y | 3 mo | Fewer repetition errors on word list recall in the California Verbal Learning Test II (P = 0.031) and increased accuracy in task switching (P = 0.033) across study visits with the intervention vs. placebo. No differences in gait or balance |
Bowtell et al., 2017 (84) | RCT: blueberry concentrate 30 mL (387 mg anthocyanins) vs. placebo daily | 26 healthy older adults, aged ≥65 yMean age: blueberry, 67.5 ± 0.9 y; placebo, 69.0 ± 0.9 y | 12 wk | Increased resting perfusion of the brain's parietal (P = 0.013) and occipital lobes (P = 0.031) and increased task-related activation in brain areas associated with cognitive function (P < 0.001) with blueberry supplementation only |
Nilsson et al., 2017 (85) | RCT crossover design: mixed berry beverage (150 g blueberries, 50 g each elderberry, lingonberry, strawberry, blackcurrant; 6 g tomato powder; 1% sugar; 795 mg polyphenols) vs. placebo, 600 mL in 3 divided doses daily | 40 healthy adults, aged 50–70 y (mean age 63 ± 0.9 y) | 5 wk + 5-wk wash-out | Modestly better working memory (5%) with the berry beverage vs. control (P < 0.05) |
Krikorian et al., 2010 (86) | Intervention trial: wild blueberry juice 6–9 mL/kg daily (1.056–1.478 g gallic acid equivalent total phenolics, 0.428–0.598 g cyanidin-3-glucoside equivalent anthocyanins)Results were compared with a control group | Intervention group: 9 older adults with MCI (mean age 76.2 ± 5.2 y) Control group: 7 older adults with MCI from companion trial (mean age 80.2 ± 6.3 y) | 12 wk | Memory function improved significantly from baseline with the intervention, as measured by the V-PAL score (P = 0.009) and the CVLT (P = 0.04). Comparing the intervention with placebo, performance was better for both assays, but significant only for the V-PAL (P = 0.03) |
CVLT, California Verbal Learning Test; MCI, mild cognitive impairment; RCT, randomized clinical trial; SBP, systolic blood pressure; V-PAL, verbal paired associate learning.
Berries in general contain large amounts of flavonoids including the flavan-3-ols catechin and epicatechin, the flavanols kaempferol and myricetin, and the anthocyanins delphinidin and petunidin. These flavonoids are neuroprotective and can slow brain aging through a number of postulated mechanisms, including suppression of microglia-mediated inflammation, and reduction of vascular risk through decrease in blood pressure and oxidative stress, facilitated in part through neuronal and inducible nitric oxide production (18, 89, 90).
Cocoa
Cocoa is another polyphenol-rich food studied for its effects on cognition (91–93). In a recent review (94) cognitive benefits were noted following acute treatment with cocoa flavanols, but conflicting results were seen in longer trials. Recent studies have shown promising results, however. A cross-sectional study in adults (aged 23–98 y) found improved cognition in subjects consuming chocolate at least once per week compared with less than once per week for global composite memory and visuospatial memory and organization (92). A prospective cohort study of cognitively healthy older adults found a significantly lower risk of gross cognitive decline (RR of 0.59) among chocolate consumers compared with nonconsumers, but only in participants consuming <1 serving size of chocolate per week (∼120 g chocolate bar or 7 g cocoa powder) and <75 mg of caffeine per day (95). Three RCTs have examined the effects of cocoa flavanols in healthy middle-aged and elderly adults over 4–12 wk (96–98). Intake of cocoa flavanols (993 mg/d) daily for 8 wk improved scores in the Trail Making tests and Verbal Fluency Test compared with placebo (96), implying that cocoa flavanols can support higher processing speeds and better executive function. Whereas a shorter intervention (4 wk) with a lower dose of cocoa flavanols (250 mg/d) did not show cognitive benefits (98), a longer exposure (12 wk) to 900 mg of cocoa flavanols per day improved cognition and blood flow to the dentate gyrus in sedentary older adults (97). The dentate gyrus is the region of the hippocampus most affected in ARCD and affects learning and consolidation of new memories.
Cocoa, from the dried and fermented seeds of Theobroma cacao, is a rich source of flavonoids. In particular, cocoa is rich in the flavan-3-ol epicatechin, as well as catechin and additional oligomeric procyanidins. Epicatechins are not only bioavailable in humans but appear to cross the blood–brain barrier in animals and might act directly on the brain. Flavonoids from cocoa have been implicated in enhancing neuroplasticity through increased neurogenesis, especially proliferation and survival of new hippocampal neurons, and an increase in synaptic growth by stimulation of BDNF (18, 89, 90).
Coffee and tea
Coffee and tea, well-known sources of caffeine, are also both excellent sources of polyphenols. Coffee contains large amounts of phenolic acids, notably the hydroxycinnamic acids 4-caffeoylquinic acid (19 mg/mL) and 5-caffeoylquinic acid (43 mg/mL), as well as some catechols. Green tea contains large amounts of flavanols (catechins, epicatechins, and procyanidins), and lesser amounts of phenolic acids (hydroxybenzoic and hydroxycinnamic acids; 5-caffeoylquinic acid is present at 2.3 mg/100 mL). In many countries, coffee and green teas are the most important food source of polyphenols (99, 100).
Both coffee and tea have cognitive benefits for older adults (Table 4) and have been associated with better cognitive outcomes or lower risk of cognitive disorders (101–105). A dose–response meta-analysis on coffee intake and risk of cognitive disorders (101) found a J-shaped relation: 1–2 cups of coffee per day compared with <1 cup significantly reduced the risk of cognitive impairment, cognitive decline, dementia, and AD, but the risk increased at higher intakes, though the difference between <1 and >3 cups/d was not significant. Most recently, in an RCT that included elderly subjects (aged 61–80 y), consumption of a cup of regular coffee (100 mg caffeine per 220 mL coffee) resulted in immediate improvement in cognitive performance, including faster reaction times and improved attention and alertness (102). A prospective cohort study of cognitively stable elderly subjects (aged 69–86 y) found that subjects in the middle tertile of coffee consumption were less likely to demonstrate deterioration on ≥2 cognitive tests over 3 y (103). In addition, cognitively stable subjects in the second and third tertiles of coffee consumption had better white matter preservation.
TABLE 4.
Food | Author, year (ref.) | Study design | Subjects | Duration | Results |
---|---|---|---|---|---|
Coffee | Wu et al., 2017 (101) | Meta-analysis of 9 prospective cohort studies | 34,282 men and women, baseline age ≥60 y | 1.3–28 y | J-shaped association between coffee intake and incidence of AD, dementia, cognitive impairment, or cognitive decline (RR: 0.82; 95% CI: 0.71, 0.94); nadir at 1–2 cups of coffee per day |
Haskell-Ramsay et al., 2018 (102) | RCT crossover study: regular coffee (100 mg caffeine) vs. decaffeinated coffee (∼5 mg caffeine) vs. placebo (2.5 g coffee flavoring) | 30 healthy older adults aged 61–80 y; 29 healthy young adults aged 20–34 y | 30 min | Regular coffee led to improved (faster) response times in rapid visual information processing and digit vigilance tasks compared with placebo, and better digit vigilance accuracy compared with decaffeinated coffee; cognitive effects did not differ by age or gender | |
Haller et al., 2018 (103) | Prospective cohort study: data from an ongoing population-based Swiss study on healthy aging | 145 healthy older adults aged 69–86 y | 3 y | Moderate coffee drinkers (29–60 cups/mo) were less likely to exhibit deterioration on an extensive battery of neuropsychological tests (−0.5 SD on ≥2 tests) at both 18 and 36 mo (adjusted OR: 0.455; 95% CI: 0.208, 0.995; P = 0.048); moderate to heavy coffee drinkers (61–168 cups/mo) also had better MRI WM preservation (P < 0.05) in cognitively stable participants | |
Tea | Ma et al., 2016 (105) | Systematic review and meta-analysis of observational studies | 52,503 participants in 26 studies | NA | Tea intake significantly lowered risk of cognitive impairment (OR: 0.52; 95% CI: 0.43, 0.62), MCI (OR: 0.64; 95% CI: 0.52, 0.76), cognitive decline (OR: 0.74; 95% CI: 0.58, 0.90), and unclassified cognitive disorder (OR: 0.76; 95% CI: 0.60, 0.91), but not of AD (OR: 0.88; 95% CI: 0.65, 1.12) |
Liu et al., 2017 (106) | Systematic review and meta-analysis of observational studies | 48,435 participants in 17 studies | NA | Green tea but not black/oolong tea was inversely associated with risk of cognitive disorders (OR: 0.64; 95% CI: 0.53, 0.77). Intakes of 100, 300, and 500 mL/d were associated with 6%, 19%, and 29% lower risk |
AD, Alzheimer disease; MCI, mild cognitive impairment; NA, not applicable; RCT, randomized clinical trial; ref., reference; WM, white matter.
Epidemiological studies focused on tea consumption and AD risk have been recently reviewed (104, 105). In a meta-analysis, drinking tea (compared with not drinking or rarely drinking) was associated with a lower risk of cognitive impairment, MCI, cognitive decline (a drop in MMSE scores of 1–2), and unclassified cognitive disorder, but not with dementia or AD. An inverse association between green tea consumption and cognitive disorders including dementia was observed, but no association for black or oolong tea (106). Intakes of 100, 300, and 500 mL/d of green tea were associated with 6%, 19%, and 29% lower risk of cognitive disorders. Green tea catechols such as epigallocatechin gallate in particular, but also epigallocatechin, epicatechin, rutin, and l-theanine, could be involved in reduction of amyloid formation and also amyloid-induced oxidative damage and mitochondrial dysfunction (104). Taken together, chronic intake of both coffee and tea appears to lower the risk of incident cognitive disorders, but the relation is J-shaped for coffee and linear for green tea.
Nuts
Finally, tree nuts and legumes are also rich sources of polyphenols, although few human studies have examined the role of tree nuts on cognition (Table 5). Studies addressing the association of nut intake and cognition in younger adults, or studies that consider postprandial effects are not part of this review.
TABLE 5.
Author, year (ref.) | Study design | Subjects | Duration | Results |
---|---|---|---|---|
O'Brien et al., 2014 (107) | Prospective cohort study: data from the Nurses’ Health Study | 15,467 female nurses aged ≥70 y (mean age 74 y) at time of cognitive testing | 21 y | Increasing nut intakes (<1/mo, 1–3/mo, 1/wk, 2–4/wk, ≥5/wk) were related to better overall cognition: verbal composite score P-trend = 0.005, global composite score P-trend = 0.003, with the difference between highest and lowest intakes equivalent to ∼2 y |
Koyama et al., 2015 (108) | Retrospective cohort study: data from the Health Professionals Follow-Up Study | 1866 older adult men (mean age 71 y; range 63–95 y) | 8 y: nut intake noted in 2006; cognitive testing in 2014 | Higher nut consumption was significantly associated with better overall cognitive performance (>2 servings/wk, 1–2 servings/wk, 1–3 servings/mo, <1 serving/mo), P-trend = 0.02; the highest vs. lowest intakes had cognitive differences equivalent to ∼5 y |
Nooyens et al., 2011 (109) | Prospective cohort study: data from the Doetinchem Cohort Study | 2613 men and women aged 43–70 y (mean ages by quintile of fruit and vegetable intake: 54.3–56.0 y) | 5 y (interval between cognitive tests) | Higher nut consumption was associated with better cognitive function at baseline (P-trend < 0.01); difference between highest and lowest quintiles equivalent to ∼5–8 y; no difference in cognitive change at 5 y |
Arab et al., 2015 (110) | Cross-sectional study; 24-h recall data compared 3 groups:• Walnuts alone• Walnuts with other nuts• No nuts | NHANES1988–1994: age 20–59 y, n = 5662; age ≥60 y, n = 50541999–2002: age ≥60 y, n = 2975 | Not applicable | Positive associations were seen between walnut consumption and cognitive function among all age groups (P < 0.01) |
Katsiardanis et al., 2013 (111) | Cross-sectional study: population based in Velestino, Greece | 557 elderly adults ≥65 y; 50% of men and 67% of women had MCI by MMSE | Not applicable | Intake of pulses, nuts, and seeds (assessed as a group) was associated with a lower likelihood of MCI (MMSE <24) in men only (P = 0.04); no food groups were associated with MCI in women |
Cardoso et al., 2016 (112) | RCT: 1 brazil nut (mean 5 g, ∼288.75 μg selenium) daily vs. control | 31 older adults with MCI (20 completing) (mean age 77 ± 5.3 y) | 6 mo | Overall neuropsychological battery score assessing global cognition did not differ (P = 0.138); however, significant improvements in verbal fluency (P = 0.007) and constructional praxis (P = 0.031) subtests were seen with the intervention |
MCI, mild cognitive impairment; MMSE, Mini-Mental State Examination; RCT, randomized clinical trial; ref., reference.
Elderly (107, 108) and middle-aged (109) adults who consumed nuts ≥5 times per week had better global cognition and verbal memory composite scores than less frequent consumers, although significant protection from ARCD was not seen. In a cross-sectional study, younger and older adults who consumed walnuts frequently had better recall test scores, faster reaction times, and greater single-digit learning scores than nonconsumers (110). Similarly, among elderly participants from Greece, intake of legumes, nuts, and seeds was associated with improved cognition, with frequent consumers having a lower likelihood of poor MMSE scores (111). To date there have been just 2 RCTs on nuts and cognition in the elderly using either Brazil nuts or walnuts. Participants with MCI who consumed 1 Brazil nut daily for 6 mo had better verbal fluency and constructional praxis scores but showed no difference in global cognition compared with controls (112). Brazil nuts contain selenium, an antioxidant mineral utilized in selenoproteins important for brain function (113).
A dual-center RCT on walnut intake (∼30–60 g/d for 2 y) and ARCD in the elderly was recently completed (114). The Walnuts and Healthy Aging (WAHA) study was conducted on 700 elderly participants in 2 geographic locations: Loma Linda, California, and Barcelona, Spain. The cognitive outcomes from this RCT are yet to be published. The neuroprotective effects of walnut bioactive compounds and the overall effect of walnut extract on motor skills and cognition have been demonstrated previously in rats (115) and formed the rationale for the WAHA study. All nuts, and walnuts in particular, have a nutrient-rich matrix consisting of polyunsaturated fats, both linoleic and α-linolenic acid (18:3n−3), and antioxidant polyphenols that might impact neuronal function and promote brain health through additive effects. In vitro, whole walnut extract protected primary neuronal cells against calcium dysregulation–induced oxidative and inflammatory stress suppressing microglial activation (116). There is also evidence to suggest that n–3 PUFAs can induce neuroprotective effects by increasing expression of neurotropic factors such as BDNF that stimulate neuronal growth and survival (117). Other bioactive compounds in walnuts such as arginine, tocopherols, folate, melatonin, and polyphenols support cognitive health by modulating several cardiovascular risk factors (118). Among nuts, walnuts contain the largest amount of free and total polyphenols, followed by Brazil nuts and almonds (61). The predominant polyphenols are proanthocyanidins, a flavan-3-ol type of flavonoid. Walnuts contain a significant amount of ellagic acid, an antioxidant phenolic acid also found in pomegranate, strawberries, and almonds. Additional studies of other nuts and cognition in both cognitively stable and cognitively impaired individuals are urgently needed. Future studies should also consider combining foods such as walnuts and blueberries that have independently demonstrated pronounced effects on cognition (78, 115). Cognitive outcomes from the WAHA study will provide some directions for future research as well.
Summary and Scope for the Future
There is growing support for consumption of 100% fruit juices, berries, cocoa, coffee, green tea, and nuts to improve cognitive function among elderly adults. However, there is less clarity on how cognitive functions are impacted by the dose, the subclasses of polyphenols, and the synergism within and between plant foods. In the Adventist Health Study-2 (AHS-2), the average dietary polyphenol intake (100) was higher among nonvegetarians (662 mg/d) compared with lacto-ovo vegetarians (504 mg/d) and vegans (498 mg/d). Adventists share a number of similar lifestyle factors (119), such as avoiding alcohol, not smoking, and consuming fewer caffeinated drinks, with low intakes of meat (28 g/d) compared with the average intake reported in Western diets (125 g/d). The high polyphenol content among nonvegetarians in the AHS-2 cohort was mainly seen among coffee drinkers. For vegans and vegetarians, polyphenols came from foods such as fruits, vegetables, nuts, legumes, and whole grains. However, unlike with the Mediterranean diet, polyphenol-rich food sources such as olive oil, red wine, and green tea are rarely or less frequently consumed among the Adventists. This highlights the need for future studies to better characterize the role of polyphenol subclasses and food sources on cognition.
Some of the foods richest in polyphenols are cocoa, berries, nuts, pomegranate juice, oranges, apples, and sweet cherries (61). These foods appear to have the most beneficial effects on memory and frontal executive functions such as attention and processing speed. Although it is premature to link polyphenol subclasses to specific cognitive domains in humans, it is plausible that multiple polyphenols work synergistically with each other and other nutrients to produce cognitive benefits. This remains a major gap in the literature and an area of interest for future studies. For example, it would be interesting to compare the cognitive effects of pomegranate, grapes, and blueberries, all of which have been shown to increase brain activation on fMRI. Identification of differential and/or synergistic effects would help us elucidate the actions of specific subclasses of polyphenols.
To further our knowledge in the area of plant-based diets, plant foods, and cognition in the elderly population, we must consider methodological aspects as well. From RCTs it appears that 8–12 wk of exposure to a single food can produce beneficial changes in cognition among healthy elderly subjects (46–48). In some studies interventions >12 wk were needed to induce significant changes in cognition (64). We must also consider the cognitive status of the study population. There is some indication that dietary interventions tend to improve brain health more in cognitively disadvantaged individuals with fewer years of education or lower socioeconomic status (120), or in elderly participants with risk for higher cognitive deficits (46–48). Additionally, cognitive function is sensitive to many factors including sleep, stress, blood pressure, and physical activity (121). Hence, where interventions affect any of these factors, they might also influence cognition. Thus, these factors must be considered when selecting study participants for RCTs, and handled as confounders in observational studies. Another consideration is the overall energy intake of plant-centered diets, which are frequently less calorie dense than Western diets (8–11, 119). Future studies should control for calorie intake and test the effect of polyphenol-rich foods in a dose-dependent manner.
Careful thought must also be given to the type of cognitive test utilized. Although studies have shown favorable outcomes with single screening tests, or tests of global cognition (21, 27, 28, 31), the use of sensitive and demanding neuropsychological tests could be more powerful (45–48). When financially feasible, including fMRI with tasks that support working memory (frontal executive function) can be useful and can corroborate the findings of neuropsychological tests. Finally, positron emission tomography scans are useful biomarkers of AD and have been linked to dietary patterns (122); they could be a valuable addition to future studies exploring the mechanisms of action for the cognitive benefits of plant foods.
Conclusions
Evidence strongly suggests that plant-based dietary patterns that are abundant in fruits, vegetables, nuts, seeds, legumes, and whole grains with less emphasis on animal foods and processed foods (11–13) are a useful and a practical approach to preventing chronic diseases. Such dietary patterns, from plant-exclusive diets to plant-centered diets, are associated with improved long-term health outcomes and a lower risk of all-cause mortality (123, 124). Given that neurodegenerative disorders share many pathophysiological mechanisms with CVD, including oxidative stress, inflammation, and vascular damage, it is reasonable to deduce that plant-based diets can ameliorate cognitive decline as well.
There is general consensus that dietary patterns centered on plant foods, such as the Mediterranean, DASH, and MIND diets, improve overall global cognitive function and prevent ARCD. Several plant foods such as polyphenol-rich berries, fruit juices, coffee, tea, cocoa, and nuts also favorably impact cognitive well-being. Polyphenols seem to exert their protective effects on specific cognitive domains, most notably frontal executive functions such as attention, processing speed, and memory encoding, consolidation, and retrieval. Possible mechanisms underlying the neurocognitive benefits might be related to increased cerebral blood flow, reduced oxidative stress and neuroinflammation, improved neurogenesis, and neuroplasticity (121, 125, 126). Besides polyphenols, other antioxidant micronutrients and n–3 PUFAs might work synergistically to benefit cognitive wellness.
Despite protective effects noted for plant-based dietary patterns and plant foods on cognition, there is still lack of clarity on which cognitive domains are most affected. Some tests such as the screening measure of gross cognition used to screen dementia might not have sufficient sensitivity to detect subtle effects in a healthy, community-dwelling, elderly population. Further, neuroprotective effects of different foods and nutrients might be confined to specific cognitive domains. Plant-based dietary patterns and polyphenol-rich foods appear to influence the verbal memory and frontally mediated executive functions, including working memory and processing speed. Less impact has been found on other cognitive domains such as visuospatial and semantic processing. This is consistent with proposed mechanisms by which plant-based diets and plant foods protect against cognitive decline, namely through reduction of cardiovascular risk, oxidative stress, and neuroinflammation, all which have been linked to cognitive processes specifically associated with memory and executive functions (127, 128). Although there is some evidence linking polyphenol-rich foods to reduced vascular risk by preservation of cerebral blood flow and metabolism (62, 65), additional neuroimaging of small-vessel ischemic disease, infarcts, white matter integrity, and blood–brain barrier integrity could further elucidate the mechanistic relation (129–132). Other markers of oxidative stress and inflammation, such as IL-6, C-reactive protein, and serum amyloid A, would also be informative.
We should acknowledge that besides diet, other lifestyle factors such as adequate sleep, rest, and physical activity play roles in modifying the risk for cognitive decline. A comprehensive approach addressing both diet and lifestyle components known to improve cognition could be the most effective means of reducing the population risk for ARCD. In conclusion, plant-centered dietary patterns focused on polyphenol-rich foods can positively impact the cognitive well-being of the elderly population.
Acknowledgments
The authors’ responsibilities were as follows—SR: developed the outline of the manuscript based on her presentation at the 7th International Congress on Vegetarian Nutrition, February 26–28, Loma Linda, CA; SR: had primary responsibility for the final content; and all authors: read and approved the final manuscript.
Notes
Published in a supplement to Advances in Nutrition. This supplement was sponsored by the Harding-Buller Foundation of Ohio. The contents are solely the responsibility of the authors and do not necessarily represent the official views of the sponsors. Publication costs for this supplement were defrayed in part by the payment of page charges. The opinions expressed in this publication are those of the authors and are not attributable to the sponsors or the publisher, Editor, or Editorial Board of Advances in Nutrition.
Author disclosures: The authors report no conflicts of interest. SR acknowledges the grant support provided by the California Walnut Commission, Folsom, CA, for The Walnuts and Healthy Aging Study.
Abbreviations used: AD, Alzheimer disease; AHS-2, Adventist Health Study-2; ARCD, age-related cognitive decline; BDNF, brain-derived neurotropic factor; CVD, cardiovascular disease; DASH, Dietary Approaches to Stop Hypertension Trial; DII, Dietary Inflammatory Index; EVOO, extra-virgin olive oil; MCI, mild cognitive impairment; MIND, Mediterranean-DASH Intervention for Neurodegenerative Delay; MMSE, Mini-Mental State Examination; OJ, orange juice; RCT, randomized clinical trial; WAHA, The Walnuts and Healthy Aging Study.
References
- 1. Hebert LE, Weuve J, Scherr PA, Evans DA. Alzheimer disease in the United States (210-2050) estimated using the 2010 census. Neurology. 2013;80:1778–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Querfurth HW, LaFerla FM.. Mechanisms of disease: Alzheimer's disease. N Engl J Med. 2010;362:329–44. [DOI] [PubMed] [Google Scholar]
- 3. Sperling RA, Aisen PS, Beckett LA, Bennett DA, Craft S, Fagan AM, Iwatsubo T, Jack CR Jr, Kaye J, Montine TJ et al.. Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging- Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimer Dement. 2011;7(3):280–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Stephan BC, Bravne C.. Risk factors and screening methods for detecting dementia: a narrative review. J Alzheimer's Dis. 2014;42(S4):S329–38. [DOI] [PubMed] [Google Scholar]
- 5. Loef HW, Walach H.. Fruit, vegetables and prevention of cognitive decline or dementia: a systematic review of cohort studies. J Nutr Health Aging. 2012;16(7):626–30. [DOI] [PubMed] [Google Scholar]
- 6. Miller MG, Thangthaeng N, Poulose SM, Shukitt-Hale B. Role of fruits, nuts, and vegetables in maintaining cognitive health. Exp Gerontol. 2017;94:24–8. [DOI] [PubMed] [Google Scholar]
- 7. Gardener SL, Rainey-Smith SR.. The role of nutrition in cognitive function and brain ageing in the elderly. Curr Nutr Rep. 2018;7:139–49. [DOI] [PubMed] [Google Scholar]
- 8. Abbatecola AM, Russo M, Barbieri M. Dietary patterns and cognition in older persons. Curr Opin Clin Nutr Metab Care. 2018;21:10–3. [DOI] [PubMed] [Google Scholar]
- 9. Masana MF, Koyanagi A, Haro JM, Tyrovolas S. n-3 Fatty acids, Mediterranean diet and cognitive function in normal aging: a systematic review. Exp Gerontol. 2017;91:39–50. [DOI] [PubMed] [Google Scholar]
- 10. Frith E, Shivappa N, Mann JR, Hebert JR, Wirth MD, Loprinzi PD. Dietary inflammatory index and memory function: population-based national sample of elderly Americans. Br J Nutr. 2018;119(5):552–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Carlos S, de La Fuente-Arrillaga C, Bes-Rastrollo M, Razquin C, Roci-Campa A, Martinez-Gonzalez MA, Ruiz-Canela M. Mediterranean diet and health outcomes in the SUN cohort. Nutrients. 2018;10(4):E439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Medina-Remon A, Kirwan R, Lamuela-Raventos RM, Estruch R. Dietary patterns and the risk of obesity, type-2 diabetes mellitus, cardiovascular diseases, asthma, and neurodegenerative diseases. Crit Rev Food Sci Nutr. 2018;58(2):262–96. [DOI] [PubMed] [Google Scholar]
- 13. Dinu M, Abbate R, Gensini GF, Casini A, Sofi F. Vegetarian, vegan diets and multiple health outcomes: a systematic review with meta-analysis of observational studies. Crit Rev Food Sci Nutr. 2017;57(17):3640–9. [DOI] [PubMed] [Google Scholar]
- 14. Yannakoulia M, Kontogianni M, Scarmeas N. Cognitive health and Mediterranean diet: just diet or lifestyle pattern? Age Res Rev. 2015;20:74–8. [DOI] [PubMed] [Google Scholar]
- 15. Tucker KL. Nutrient intake, nutritional status, and cognitive function with aging. Ann N Y Acad Sci. 2016;1367:38–49. [DOI] [PubMed] [Google Scholar]
- 16. Petersson SD, Philippou E.. Mediterranean diet, cognitive function, and dementia: a systematic review of the evidence. Adv Nutr. 2016;7:889–904. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Smith PJ, Blumenthal JA. Dietary factors and cognitive decline. J Prev Alzheimers Dis. 2016;3(1):53–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Gildawie KR, Galli RL, Shukkit-Hale B, Carey AN. Protective effects of foods containing flavonoids on age-related cognitive decline. Curr Nutr Rep. 2018;7:39–48. [DOI] [PubMed] [Google Scholar]
- 19. Chen X, Maguire B, Brodaty H, O'Leary F. Dietary patterns and cognitive health in older adults: a systematic review. J Alzheimers Dis. 2019;67(2):583–619. [DOI] [PubMed] [Google Scholar]
- 20. Loughrey DG, Lavecchia S, Brennan S, Lawlor BA, Kelly ME. The impact of the Mediterranean diet on the cognitive functioning of older adults: a systematic review and meta-analysis. Adv Nutr. 2017;8:571–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Berendsen AM, Kang JH, Feskeens EJM, de Groot CPGM, Grodstein F, van de Rest O. Association of long-term adherence to the MIND diet with cognitive function and cognitive decline in American women. J Nutr Health Aging. 2018;22(2):222–9. [DOI] [PubMed] [Google Scholar]
- 22. Berendsen AAM, Kang JH, van de Rest O, Feskens EJM, de Groot LCPGM, Grodstein F. The dietary approaches to stop hypertension diet, cognitive function, and cognitive decline in American older women. J Am Med Dir Assoc. 2017;18(5):427–32. [DOI] [PubMed] [Google Scholar]
- 23. Aridi YS, Walker JL, Wright ORL. The association between the Mediterranean dietary pattern and cognitive health: a systematic review. Nutrients. 2017;9:674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Morris MC, Tangey CC, Wang Y, Sacks FN, Barnes LL, Bennett DA, Aggarwal NT. MIND diet slows cognitive decline with aging. Alzh Dement. 2015;11(9):1015–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Chan R, Chan D, Woo J. A cross-sectional study to examine the association between dietary patterns and cognitive impairment in older Chinese people in Hong-Kong. J Nutr Health Aging. 2014;17:757–65. [DOI] [PubMed] [Google Scholar]
- 26. Qin B, Adair LS, Plasssman BL, Batis C, Edwards LJ, Popkin BM, Mendez MA. Dietary patterns and cognitive decline among Chinese older adults. Epidemiology. 2015;26(5):758–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Kim J, Yu A, Choi BY, Nam JH, Kim MK, Oh DH, Yang YJ. Dietary patterns derived by cluster analysis are associated with cognitive function among Korean older adults. Nutrients. 2015;7(6):4154–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Tsai HJ. Dietary patterns and cognitive decline in Taiwanese aged 65 years and older. Int J Geriatr Psychiatry. 2015;5:523–30. [DOI] [PubMed] [Google Scholar]
- 29. Chen YC, Jung CC, Chen JH, Chiou JM, Chen TF, Chen YF, Tang SC, Yeh SJ, Lee MS. Association of dietary patterns with global and domain specific cognitive decline in Chinese elderly. J Am Geriatric Soc. 2017;65(6):1159–67. [DOI] [PubMed] [Google Scholar]
- 30. Okubo H, Inagaki H, Gondo Y, Kamide K, Ikebe K, Masui Y, Arai Y, Ishizaki T, Sasaki S, Nakagawa T et al.. Association between dietary patterns and cognitive function among 70 year old Japanese elderly: a cross-sectional analysis of the SONIC study. Nutr J. 2017;16(1):56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Nurke E, Refsum H, Dreyon CA, Tell GS, Nygaard HA, Engedal K, Smith AD. Cognitive performance among the elderly in relation to the intake of plant foods. The Hordaland Health Study. Br J Nutr. 2010;104(8):1190–201. [DOI] [PubMed] [Google Scholar]
- 32. Ashby-Mitchell K, Peters A, Anstey KJ. Role of dietary pattern analysis in determining cognitive status in elderly Australian adults. Nutrients. 2015;7:1052–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Mazza E, Fava A, Ferro Y, Moraca M, Rotunda S, Colica C, Provenzano F, Terracciano R, Greco M, Foti D et al.. Impact of legumes and plant proteins consumption on cognitive performances in the elderly. J Transl Med. 2017;15:109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Shin D, Kwon SC, Kim MH, Lee KW, Choi SY, Shivappa N, Hebert JR. Inflammatory potential of diet is associated with cognitive function in older adult Korean population. Nutrition. 2018;55-56:56–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Hayden KM, Beavers DP, Steck SE, Hebert JR, Tabung FK, Shivappa N, Casanova R, Manson JE, Padula CB, Salmoirago-Blotcher E et al.. The association between inflammatory diet and global cognitive function and incident dementia in older women: the women's health initiative memory study. Alzheimer's Dement. 2017;13(11):1187–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Kesse-Guyot E, Assmann KE, Andreeva VA, Touvier M, Neufcourt L, Shivappa N, Hebert JR, Wirth MD, Hercherg S, Galan S et al.. Long-term association between dietary inflammatory index and cognitive functioning: findings from the SU.VI.MAX study. Eur J Nutr. 2017;56:1647–55. [DOI] [PubMed] [Google Scholar]
- 37. Assman KE, Adjibade M, Shivappa N, Hebert JR, Wirth MD, Tourvier M, Akbaraly T, Hercberg S, Galan P, Julia C et al.. The inflammatory potential of the diet at midlife is associated with later healthy aging in French Adults. J Nutr. 2018;148:437–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Bohn T, McDougall J, Alegria A, Alminger M, Arrigoni E, Aura A-M, Brito C, Cilla A, El SN, Karakava S et al.. Mind the gap-deficits in our knowledge of aspects impacting the bioavailability of phytochemicals and their metabolites—a position paper focusing on carotenoids and polyphenols. Mol Nutr Food Res. 2015;59(7):1307–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Wickzkowski W, Szawara-Nowak D, Romaszko J. The impact of red cabbage fermentation on bioavailability of anthocyanins and antioxidant capacity of human plasma. Food Chem. 2016;190:730–40. [DOI] [PubMed] [Google Scholar]
- 40. Goufo P, Trindade H.. Factors influencing antioxidant compounds in rice. Crit Rev Food Sci Nutr. 2017;57(5):893–922. [DOI] [PubMed] [Google Scholar]
- 41. Tangney CC, Kwasny MJ, Li H, Wilson RS, Evans DA, Morris MC. Adherence to a Mediterranean type dietary pattern and cognitive decline in a community population. Am J Clin Nutr. 2011;93:601–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Tsivgoulis G, Judd S, Letter AJ, Alexandrov AV, Howard G, Nahab F, Unverzagt FW, Moy C, Howard VJ, Kissela B et al.. Adherence to a Mediterranean diet and risk of incident cognitive impairment. Neurology. 2013;80:1684–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Feart C, Samieri C, Rondeau V, Amieva H, Portet F, Dartigues JF, Scarmeas N, Barberger-Gateau P. Adherence to a Mediterranean diet, cognitive decline and risk of dementia. J Am Med Assoc. 2009;302:638–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Bhushan A, Fondell E, Ascherioa A, Yuan C, Grodstein F, Willett W. Adherence to Mediterranean diet and subjective cognitive function in men. Eur J Epid. 2018;33(2):223–34. [DOI] [PubMed] [Google Scholar]
- 45. Mazza E, Fava A, Ferro Y, Rotundo S, Romeo S, Bosco D, Pujia A, Montalcini T. Effect of the replacement of dietary vegetable oils with a low dose of extravirgin olive oil in the Mediterranean diet on cognitive functions in the elderly. J Transl Med. 2018;16:10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Martinez-Lapiscina EH, Clavero P, Toledo E, Estruch R, Salas-Salvado J, San Julián B, Sanchez-Tainta A, Ros E, Valls-Pedret C, Martinez-Gonzalez MÁ. Mediterranean diet improves cognition: the PREDIMED-NAVARRA randomized trial. J Neurol Neurosurg Psychiatry. 2013;84:1318–25. [DOI] [PubMed] [Google Scholar]
- 47. Valls-Pedret C, Sala-Vila A, Serra M, Corella D, de la Torre R, Martínez-González MÁ, Martínez-Lapiscina EH, Fitó M, Pérez-Heras A, Salas-Salvadó J et al.. Mediterranean diet and age-related cognitive decline: a randomized clinical trial. JAMA Intern Med. 2015;175(7):1094–103. [DOI] [PubMed] [Google Scholar]
- 48. Valls-Pedret C, Lamuela-Raventos RM, Medina-Remon A, Qunitana M, Corella D, Pinto X, Martinez Gonzalez MA, Estruch R, Ros E. Polyphenol-rich foods in the Mediterranean diet are associated with better cognitive function in elderly subjects at high cardiovascular risk. J Alzheimers Dis. 2012;29(4):773–82. [DOI] [PubMed] [Google Scholar]
- 49. Estruch R, Ros E, Salas-Salvado J, Covas MI, Aros F, Gomez-Gracia E, Ruiz-Gutierrez V, Fiol M, Lapetra J, Lamuela-Raventos RM et al.. Primary prevention of cardiovascular disease with a Mediterranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med. 2018;378(25):e34. [DOI] [PubMed] [Google Scholar]
- 50. Granic A, Davis K, Adamson A, Kirkwood T, Hill TR, Siervo M, Mathers JC, Jagger C. Dietary patterns high in red meat, potato, gravy, and butter are associated with poor cognitive functioning but not with rate of cognitive decline in very old adults. J Nutr. 2016;146(2):265–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Daniel CR, Cross AJ, Koebnick C, Sinha R. Trend in meat consumption in the USA. Public Health Nutr. 2011;14(4):575–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Kim DH, Grodstein F, Rosner B, Kang JH, Cook NR, Manson JE, Buring JE, Willett WC, Okereke OI. Seafood types and age-related cognitive decline in the Women's Health Study. J Gerontol Biol Sci Med Sci. 2013;68(10):1255–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Lee J, Fu Z, Chung M, Jang DJ, Lee HJ. Role of milk and dairy intake in cognitive function in older adults: a systematic review and meta-analysis. Nutr J. 2018;17(1):82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Ylilauri MP, Voutilainen S, Lonnroos E, Mursu J, Virtanen HE, Koskinen TT, Salonen JT, Tuomainen TP, Virtanen JK. Association of dietary cholesterol and egg intakes with the risk of incident dementia or Alzheimer disease: the Kuopio Ischaemic Heart Disease Risk factor Study. Am J Clin Nutr. 2017;105(2):476–84. [DOI] [PubMed] [Google Scholar]
- 55. Mewborn CM, Lindbergh CA, Robinson TL, Gogniat MA, Terry DP, Jean KR, Hammond BR, Renzi-Hammond LM, Miller LS. Lutein and zeaxanthin are positively associated with visual-spatial functioning in older adults: an fMRI study. Nutrients. 2018;10(4):E458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Thomas MH, Pelleieux S, Vitale N, Olivier JL. Dietary arachidonic acid as risk factor for age-associated neurodegenerative diseases: potential mechanisms. Biochimie. 2016;130:168–77. [DOI] [PubMed] [Google Scholar]
- 57. Yuan L, Zhen J, Ma W, Cai C, Huang X, Xiao R. The erythrocyte fatty acid profile and cognitive function in old Chinese adults. Nutrients. 2016;8(7):E385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Dumas JA, Bunn JY, Nickerson J, Crain KI, Ebenstein DB, Tarleton EK, Makarewicz J, Poynter ME, Kien CL. Dietary saturated fat and monounsaturated fat have reversible effects on brain function and the secretion of pro-inflammatory cytokines in young women. Metabolism. 2016;65(10):1582–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Kean RJ, Lamport DJ, Dodd GF, Freeman JE, Williams CM, Ellis JA, Butler LT, Spencer JP. Chronic consumption of flavanone-rich orange juice is associated with cognitive benefits: an 8-wk, randomized, double-blind, placebo-controlled trial in healthy older adults. Am J Clin Nutr. 2015;101(3):506–14. [DOI] [PubMed] [Google Scholar]
- 60. Nones J, E Spohr TC, Gomes FC. Hesperidin, a flavone glycoside, as mediator of neuronal survival. Neurochem Res. 2011;36(10):1776–84. [DOI] [PubMed] [Google Scholar]
- 61. Harnly JM, Doherty RF, Beecher GR, Holden JM, Haytowitz DB, Bhagwat S, Gebhardt S. Flavonoid content of U.S. fruits, vegetables, and nuts. J Agric Food Chem. 2006;54(26):9966–77. [DOI] [PubMed] [Google Scholar]
- 62. Bookheimer SY, Renner BA, Ekstrom A, Li Z, Henning SM, Brown JA, Jones M, Moody T, Small GW. Pomegranate juice augments memory and fMRI activity in middle-aged and older adults with mild memory complaints. Evid Based Complement Alternat Med. 2013;2013:946298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Krikorian R, Nash TA, Shidler MD, Shukitt-Hale B, Joseph JA. Concord grape juice supplementation improves memory function in older adults with mild cognitive impairment. Br J Nutr. 2010;103(5):730–4. [DOI] [PubMed] [Google Scholar]
- 64. Krikorian R, Boespflug EL, Fleck DE, Stein AL, Wightman JD, Shidler MD, Sadat-Hossieny S. Concord grape juice supplementation and neurocognitive function in human aging. J Agric Food Chem. 2012;60(23):5736–42. [DOI] [PubMed] [Google Scholar]
- 65. Lee J, Torosyan N, Silverman DH. Examining the impact of grape consumption on brain metabolism and cognitive function in patients with mild decline in cognition: a double-blinded placebo controlled pilot study. Exp Gerontol. 2017;87(Pt A):121–8. [DOI] [PubMed] [Google Scholar]
- 66. Jack CR Jr, Knopman DS, Jagust WJ, Shaw LM, Aisen PS, Weiner MW, Petersen RC, Trojanowski JQ. Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet. 2010;9:119–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Calapai G, Bonina F, Bonina A, Rizza L, Mannucci C, Arcoraci V, Laganà G, Alibrandi A, Pollicino C, Inferrera S et al.. A randomized double-blinded clinical trial on effects of a Vitis v inifera extract on cognitive function in healthy older adults. Front Pharmacol. 2017;8:776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Caldwell K, Charlton KE, Roodenrys S, Jenner A. Anthocyanin-rich cherry juice does not improve acute cognitive performance on RAVLT. Nutr Neurosci. 2016;19(9):423–4. [DOI] [PubMed] [Google Scholar]
- 69. Keane KM, Haskell-Ramsay CF, Veasey RC, Howatson G. Montmorency Tart cherries (Prunus c erasus L.) modulate vascular function acutely, in the absence of improvement in cognitive performance. Br J Nutr. 2016;116(11):1935–44. [DOI] [PubMed] [Google Scholar]
- 70. Kent K, Charlton K, Roodenrys S, Batterham M, Potter J, Traynor V, Gilbert H, Morgan O, Richards R. Consumption of anthocyanin‐rich cherry juice for 12 weeks improves memory and cognition in older adults with mild‐to‐moderate dementia. Eur J Nutr. 2017;56(1):333–41. [DOI] [PubMed] [Google Scholar]
- 71. Byrd-Bredbenner C, Ferruzzi MG, Fulgoni VL III, Murray R, Pivonka E, Wallace TC. Satisfying America's fruit gap: summary of an expert round table on the role of 100% fruit juice. J Food Sci. 2017;82(7):1523–34. [DOI] [PubMed] [Google Scholar]
- 72. Ferreira-Pago C, Babio N, Bes-Rosreollo M, Corella D, Estruch R, Ros E, Fito M, Serra-Majem L, Aros E, Fiol M et al.. Frequent consumption of sugar- and artificially sweetened beverages and natural and bottled fruit juices is associated with an increased risk of metabolic syndrome in a Mediterranean population at high cardiovascular disease risk. J Nutr. 2016;146(8):1528–36. [DOI] [PubMed] [Google Scholar]
- 73. Michaud DS, Fuchs CS, Liu S, Willett WC, Colditz GA, Giovannucci E. Dietary glycemic load, carbohydrate, sugar, and colorectal cancer risk in men and women. Cancer Epidemiol Biomarkers Prev. 2005;14(1):138–47. [PubMed] [Google Scholar]
- 74. Lamport DJ, Saunders C, Butler LT, Spencer JPE. Fruits, vegetables, 100% juices, and cognitive function. Nutr Rev. 2104;72(12):774–89. [DOI] [PubMed] [Google Scholar]
- 75. Morris MC, Wang Y, Barnes LL, Bennett DA, Dawson-Hughes B, Booth SL. Nutrients and bioactives in green leafy vegetables and cognitive decline. Neurology. 2018;90:e214–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Chen X, Huang Y, Cheng HG. Lower intake of vegetables and legumes associated with cognitive decline among illiterate elderly Chinese: a 3-year cohort study. J Nutr Health Aging. 2012;16(6):549–52. [DOI] [PubMed] [Google Scholar]
- 77. Galli RL, Carey AN, Luskin KA, Bielinski DF. Red raspberries can improve motor function in aged rats. J Berry Res. 2016;6:97–101. [Google Scholar]
- 78. Shukkit-Hale B, Bielinski DF, Lau FC, Willis LM, Carey AN, Joseph JA. The beneficial effects of berries on cognition, motor behavior and neuronal function in aging. Br J Nutr. 2015;114(10):1542–9. [DOI] [PubMed] [Google Scholar]
- 79. Kent K, Charlton KE, Netzel M, Fanning K. Food-based anthocyanin intake and cognitive outcomes in human intervention trials: a systematic review. J Hum Nutr Diet. 2017;30:260–74. [DOI] [PubMed] [Google Scholar]
- 80. Travica N, D'Cunha NM, Naumovski N, Kent K, Mellor DD, Firth J, Georgousopoulou EN, Dean OM, Loughman A, Jacka F et al.. The effect of blueberry interventions on cognitive performance and mood: A systematic review of randomized controlled trials. Brain Behav Immun. 2019, pii: S0889-1591(18):31195-4. [DOI] [PubMed] [Google Scholar]
- 81. Devore EE, Kang JH, Breteler MM, Grodstein F. Dietary intake of berries and flavonoids in relation to cognitive decline. Ann Neurol. 2012;72(1):135–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Whyte AR, Cheng N, Fromentin E, Williams CM. A randomized double blind placebo controlled study to compare the safety and efficacy of low dose enhanced wild blueberry powder and wild blueberry extract in maintenance of episodic and working memory in older adults. Nutrients. 2018;10(6):E660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Miller MG, Hamilton DA, Joseph JA, Shukitt-Hale B. Dietary blueberry improves cognition among older adults in a randomized, double-blind, placebo-controlled trial. Eur J Nutr. 2018;57(3):1169–80. [DOI] [PubMed] [Google Scholar]
- 84. Bowtell JL, Aboo-Bakkar Z, Conway ME, Adlam AR, Fulford J. Enhanced task-related brain activation and resting perfusion in healthy older adults after chronic blueberry supplementation. Appl Physiol Nutr Metab. 2017;42(7):773–9. [DOI] [PubMed] [Google Scholar]
- 85. Nilsson A, Salo I, Plaza M, Bjorck I. Effects of a mixed berry beverage on cognitive functions and cardio metabolic risk markers: a randomized cross-over study in healthy adults. PLoS One. 2017;12(11):e0188173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Krikorian R, Shidler MD, Nash TA, Kalt W, Vingvist-Tymchuk MR, Shukitt-Hale B, Joseph JA. Blueberry supplementation improves memory in older adults. J Agric Food Chem. 2010;58(7):3996–4000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. McNamara RK, Kalt W, Shidler MD, McDonald J, Summer SS, Stein AL, Stover AN, Krikorian R. Cognitive response to fish oil, blueberry, and combined supplementation in older adults with subjective cognitive impairment. Neurobiol Aging. 2018;64:147–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Bensalem J, Dudonne S, Etchamendy N, Pellay H, Amadieu C, Gaudout D, Dubreuil S, Paradis M-E, Pomerleau S, Capuron L et al.. Polyphenols from grape and blueberry improve episodic memory in healthy elderly with lower level of memory performance: a bicentric double blind, randomized, placebo-controlled-clinical study. J Gerontol A Biol Sci Med Sci. 2019;74(7):996–1007. [DOI] [PubMed] [Google Scholar]
- 89. Spagnuolo C, Moccia S, Russo GL. Anti-inflammatory effects of flavonoids in neurodegenerative disorders. Eur J Med Chem. 2018;153:105–15. [DOI] [PubMed] [Google Scholar]
- 90. Poti F, Santi D, Spaggiari G, Zimetti F, Zanotti I. Polyphenol health effects on cardiovascular and neurodegenerative disorders: a review and meta-analysis. Int J Mol Sci. 2019;20(2):E351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Scholey A, Owen L.. Effects of chocolate on cognitive function and mood: a systematic review. Nutr Rev. 2013;71(10):665–81. [DOI] [PubMed] [Google Scholar]
- 92. Crichton GE, Elias MF, Alkerwi A. Chocolate intake is associated with better cognitive function: the Maine-Syracuse Longitudinal Study. Appetite. 2016;100:126–32. [DOI] [PubMed] [Google Scholar]
- 93. Nurk E, Refsum H, Drevon CA, Tell GS, Nygaard HA, Engedal K, Smith AD. Intake of flavonoid rich wine, tea, and chocolate by elderly men and women is associated with better cognitive performance. J Nutr. 2009;139(1):120–7. [DOI] [PubMed] [Google Scholar]
- 94. Fraga CG, Croft KD, Kennedy DO, Tomas-Barberan FA. The effects of polyphenols and other bioactives on human health. Food Funct. 2019;10(2):514–28. [DOI] [PubMed] [Google Scholar]
- 95. Moreira A, Diogenes MJ, de Mendonca A, Lunet N, Barros H. Chocolate consumption is associated with a lower risk of cognitive decline. J Alzheim Dis. 2016;53(1):85–93. [DOI] [PubMed] [Google Scholar]
- 96. Mastroiacovo D, Kwik-Uribe C, Grassi D, Necozione S, Raffaele A, Pistacchio L, Righetti R, Bocale R, Lechiara MC, Marini C et al.. Cocoa flavanol consumption improves cognitive function, blood pressure control, and metabolic profile in elderly subjects: the cocoa, cognition, and aging (CoCoA) study—a randomized controlled trial. Am J Clin Nutr. 2015;101(3):538–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Brickman AM, Khan UA, Provenzano FA, Yeung LK, Suzuki W, Schroeter H, Wall M, Sloan RP, Small SA. Enhancing dentate gyrus function with dietary flavonoids improves cognition in older adults. Nat Neurosci. 2014;17(12):1798–803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Massee LA, Ried K, Pase M, Travica N, Yoganathan J, Scholey A, Macpherson H, Kennedy G, Sali A, Pipingas A. The acute and sub-chronic effects of cocoa flavanols on mood, cognitive and cardiovascular health in young healthy adults: a randomized, controlled trial. Front Pharmacol. 2015;6:93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Zamora-Ros R, Knaze V, Rothwell JA, Hemon B, Moskal A, Overvad K, Tionneland A, Kryo C, Fagherazzi G, Boutron-Ruault MC et al.. Dietary polyphenol intake in Europe: the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Eur J Nutr. 2016;55(4):1359–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Burkholder-Cooley N, Rajaram S, Haddad E, Fraser GE, Sabate J, Jaceldo-Siegl K. Comparison of polyphenol intakes according to distinct patterns and food sources in the Adventist Health Study-2 cohort. Br J Nutr. 2016;115(12):2126–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Wu L, Sun D, He Y. Coffee intake and incident risk of cognitive disorders: a dose-response meta-analysis of nine prospective cohort studies. Clin Nutr. 2017;36:730–6. [DOI] [PubMed] [Google Scholar]
- 102. Haskell-Ramsay CF, Jackson PA, Forster JS, Dodd FI, Bowerbank SL, Kennedy DO. The acute effects of caffeinated black coffee on cognition and mood in healthy young and older adults. Nutrients. 2018;10(10):E1386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. Haller S, Montandon M-L, Rodriguez C, Herrmann FR, Giannakopoulos P. Impact of coffee, wine, and chocolate consumption on cognitive outcome and MRI parameters in old age. Nutrients. 2018;10(10):E1391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. Polito CA, Cai Z-Y, Shi Y-L, Li X-M, Yang R, Shi M, Sheng Q, Ma S-C, Xiang L-P, Wang K-R et al.. Association of tea consumption with risk of Alzheimer's disease and anti-beta amyloid effects of tea. Nutrients. 2018;10(5):E655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Ma Q-P, Huang C, Cui Q-Y, Yang D-J, Sun K, Chen X, Li X-H. Meta-analysis of the association between tea intake and the risk of cognitive disorders. PLoS One. 2016;11(11):e0165861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106. Liu X, Du X, Han G, Gao W. Associations between tea consumption and risk of cognitive disorders: a dose-response meta-analysis of observational studies. Oncotarget. 2017;8(26):43306–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. O'Brien J, Okereke O, Devore E, Rosner B, Breteler M, Grodstein F. Long-term intake of nuts in relation to cognitive function in older women. J Nutr Health Aging. 2014;18(5):496–502. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108. Koyama AK, Hagan KA, Okereke OI, Weisskof MG, Rosner B, Grodstein F. Evaluation of a self-administered computerized cognitive battery in older population. Neuroepidemiology. 2015;45(4):264–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Nooyens AC, Bueno-de-Medquita HB, van Boxtel MP, van Gelder BM, Verhagen H, Verschuren WM. Fruit and vegetable intake and cognitive decline in middle-aged men and women: the Doetinchem cohort study. Br J Nutr. 2011;106(5):752–61. [DOI] [PubMed] [Google Scholar]
- 110. Arab L, Ang A.. A cross sectional study of the association between walnut consumption and cognitive function among adult US populations represented in NHANES. J Nutr Health Aging. 2015;19(3):284–90. [DOI] [PubMed] [Google Scholar]
- 111. Katsiardanis K, Diamantaras AA, Dessypris N, Michaelakos T, Anastasiou A, Katsiardani JKP, Kanavidis P, Papadopoulos FC, Stefanadis C, Panagiotakos DB et al.. Cognitive impairment and dietary habits among elders: the Velestino Study. J Med Food. 2013;16(4):343–50. [DOI] [PubMed] [Google Scholar]
- 112. Cardoso BR, Apolinario D, da Silva Bandeira V, Busse AL, Magaldi RM, Jacob-Filho W, Cozzolino SM. Effects of Brazil nut consumption on selenium status and cognitive performance in older adults with mild cognitive impairment: a randomized controlled pilot trial. Eur J Nutr. 2016;55:107–16. [DOI] [PubMed] [Google Scholar]
- 113. Steinbrenner H, Sies H.. Selenium homeostasis and antioxidant selenoproteins in brain: implications for disorders in the central nervous system. Arch Biochem Biophys. 2013;536(2):152–7. [DOI] [PubMed] [Google Scholar]
- 114. Rajaram S, Valls-Pedret C, Cofan M, Sabate J, Serra-Mir M, Perez-Heras AM, Arechiga A, Casaroli-Marano RP, Alforja S, Sala-Vila A et al.. The Walnuts and Healthy Aging Study (WAHA): protocol for a nutritional intervention trial with walnuts on brain aging. Front Aging Neurosci. 2017;8:333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Poulose SM, Miller MG, Shukkit-Hale B. Role of walnuts in maintaining brain health with age. J Nutr. 2014;144(4S):561S–6S. [DOI] [PubMed] [Google Scholar]
- 116. Thangthaeng N, Poulose SM, Fisher DR, Shukkit-Hale B. Walnut extract modulates activation of microglia through alteration in intracellular calcium concentration. Nutr Res. 2018;49:88–95. [DOI] [PubMed] [Google Scholar]
- 117. Hadjighassem M, Kamalidehghan B, Shekarriz N, Baseerat A, Molavi N, Mehrpour M, Joghataei MT, Tondar M, Ahmadipour F, Meng GY. Oral consumption of α-linolenic acid increases serum BDNF levels in healthy adult humans. Nutr J. 2015;14:20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. Ros E. Nuts and CVD. Br J Nutr. 2015;S2:S111–20. [DOI] [PubMed] [Google Scholar]
- 119. Orlich MJ, Jaceldo-Siegl K, Sabate J, Fan J, Singh PN, Fraser GE. Patterns of food consumption among vegetarians and non-vegetarians. Br J Nutr. 2014;112(10):1644–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Weng PH, Chen JH, Chiou JM, Tu YK, Chen TF, Chiu MJ, Tang Sc, Yeh SJ, Chen YC. The effect of lifestyle on late-life cognitive change under different socioeconomic status. PLoS One. 2018;13(6):e0197676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Joris PJ, Mensink RP, Adam TC, Liu TT. Cerebral blood flow measurements in adults: a review on the effects of dietary factors and exercise. Nutrients. 2018;10(5):E530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Zwilling CE, Talukdar T, Zamroziewicz MK, Barbey AK, Nutrient biomarker patterns, cognitive function, and fMRI measures of network efficiency in the aging brain. Neuroimage. 2018;188:239–51. [DOI] [PubMed] [Google Scholar]
- 123. Kim H, Caulfield LE, Rebholz CM. Healthy plant-based diets are associated with lower risk of all-cause mortality in US adults. J Nutr. 2018;148(4):624–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Papandreou C, Becerra-Tomas N, Bullo M, Martinez-Gonzalez MA, Corella D, Estruch R, Ros E, Arós F, Schroder H, Fitó M et al.. Legume consumption and risk of all-cause, cardiovascular, and cancer mortality in the PREDIMED study. Clin Nutr. 2018;38(1):348–56. [DOI] [PubMed] [Google Scholar]
- 125. Lamport DJ, Pal D, Moutsigna C, Field DT, Williams CM, Spencer JP, Butler LT. The effect of flavanol-rich cocoa on cerebral perfusion in healthy older adults during conscious resting state: a placebo controlled, crossover, acute trial. Psychopharmacology (Berl). 2015;232(17):3227–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126. Flanagan E, Muller M, Hornberger M, Vauzour D. Impact of flavonoids on cellular and molecular mechanisms underlying age-related cognitive decline and neurodegeneration. Curr Nutr Rep. 2018;7(2):49–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. Raz N, Rodriguez KM, Acker JD. Hypertension and the brain: vulnerability of the prefrontal regions and executive functions. Behav Neurosci. 2003;117:1169–80. [DOI] [PubMed] [Google Scholar]
- 128. Hajjar I, Hayek SS, Goldstein FC, Martin G, Jones DP, Quyyumi A. Oxidative stress predicts cognitive decline with aging in healthy adults: an observational study. J Neuroinflammation. 2018;15(1):17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129. Karstens AJ, Tussing-Humphrey L, Zhan L, Rajendran N, Cohen J, Dion C, Zhou XJ, Lamar M. Associations of the Mediterranean diet with cognitive and neuroimaging phenotypes of dementia in healthy older adults. Am J Clin Nutr. 2019;109:361–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130. Kennedy DO. Polyphenols and the human brain: plant “secondary metabolite” ecologic roles and endogenous signaling functions drive benefits. Adv Nutr. 2014;5(5):515–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131. Serino A, Salazar G.. Protective role of polyphenols against vascular inflammation, aging and cardiovascular disease. Nutrients. 2019;11:53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Poulose SM, Miller MG, Scott T, Shukkit-Hale B. Nutritional factors affecting adult neurogenesis and cognitive function. Adv Nutr. 2017;8:804–11. [DOI] [PMC free article] [PubMed] [Google Scholar]