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The Journal of Prevention of Alzheimer's Disease logoLink to The Journal of Prevention of Alzheimer's Disease
. 2021 Apr 10;8(3):313–321. doi: 10.14283/jpad.2021.15

The Epidemiology of Alzheimer's Disease Modifiable Risk Factors and Prevention

X-X Zhang 1, Y Tian 1, Z-T Wang 1, Y-H Ma 1, Lan Tan 1,e, Jin-Tai Yu 2,f
PMCID: PMC12280729  PMID: 34101789

Abstract

Mild Alzheimer's disease is the leading cause of dementia, accounting for 50–70% of cases. Alzheimer's disease is an irreversible neurodegenerative disease, which affects daily life activities and social functioning. As life expectancy increases and demographic ageing occurs, the global prevalence of Alzheimer's disease is expected to continue to rise especially in developing countries, leading to a costly burden of disease. Alzheimer's disease is a complex and multifactorial disorder that is determined by the interaction of genetic susceptibility and environmental factors across the life course. Epidemiological studies have identified potential modifiable risk and protective factors for Alzheimer's disease prevention. Moreover, Alzheimer's disease is considered to start decades earlier before clinical symptoms occur, thus interventions targeting several risk factors in non-demented elderly people even middle-aged population might prevent or delay Alzheimer's disease onset. Here, we provide an overview of current epidemiological advances related to Alzheimer's disease modifiable risk factors, highlighting the concept of early prevention.

Key words: Alzheimer's disease, epidemiology, modifiable risk factors, prevention

Introduction

Alzheimer's disease (AD), as the most prevalent cause of dementia, is defined by deterioration in cognition, function and behavior, which typically begins in memory loss about recent events (1). The decisive pathological features in AD patients' brain tissues are raised levels of both amyloid-β (Aβ) composing of extracellular senile plaques and hyperphosphorylated tau (p-tau) aggregating intracellularly as neurofibrillary tangles (NFTs) (2). About 50 million people are living with dementia around the world, due to the aging population, the number of patients is predicted to triple by 2050, which increases the risk of disability, burden of illness and health care costs (3). Moreover, current treatment strategies only ameliorate symptoms and there is no effective cure for AD. However, AD has a long prodromal period during which early prevention appears to be particularly important to slow down the progression of AD. Therefore, epidemiological investigations are essential to identify risk and protective factors that strongly influence cognitive status. In fact, one-third of AD cases worldwide are attributable to underlying modifiable risk factors (4), which might modulate an individual's risk of developing AD. In this review, we classified these factors into several categories including psychosocial factors, pre-existing diseases, lifestyles and others, exploring the potential effects on cognition to provide better implications for AD prevention.

Descriptive epidemiology of Alzheimer's disease

The number of dementia patients is projected to reach 152 million by mid-century worldwide, with the greatest increase expected in low-and middle-income countries (3). According to 2020 Alzheimer's disease facts and figures, the number of AD patients (≥ 65 years) might increase greatly from 5.8 million to 13.8 million by 2050 in America (5). The obviously increased AD prevalence was found in community-dwelling investigations of Japan and China over the last few decades (6, 7). Particularly, age-specific global prevalence in women was 1.17 times larger than in men and the age-standardized mortality rate of women was also higher than men, suggesting the longer lifespan was not the only determinant of the women dominance (8). In addition, death tolls with AD increased 146.2% from 2000 to 2018 and AD became the fifth-largest cause of death in American old people (5). Notably, caregivers would experience more mental stresses and negative emotional influences (5). Therefore, the social and family burden of caring for AD population will be huge and unsustainable.

Wellbeing is the aim of much of AD care. The AD patients would have perplexing problems and symptoms in many domains. And some epidemiological investigations have provided robust evidence that behavioral and environmental factors have key roles in disease pathogenesis and progression. Especially, preexisting disease is more common in AD patients than others of the same age, it is essential to keep physically healthy to protect the cognition. In addition, many risk factors could contribute to the development of AD and also be regarded as the symptoms of AD simultaneously, the reverse causality might account for this. Therefore, the accurate diagnosis is so important for those individuals suffering from cognitive dysfunction. Though AD is indicated by Aβ and tau biomarkers, some cognitively normal individuals having only these biomarkers never develop AD (9), it means that the pre-symptomatic diagnosis is more difficult to obtain. Future challenges would include discovering less-invasive and more-sensitive biomarkers or methods that can also be used for early screening and diagnosis purposes. Anyway, evidence-based prevention strategies, in line with the potential link between modifiable risk factors and late-onset AD, need to be explored in future studies.

Putative modifiable risk factors and prevention for late-onset Alzheimer's disease

Evidence from observational studies has accumulated during the past few years and shown several potentially modifiable risk factors (Figure 1), concerning AD prevention some potential feasible suggestions are provided (Figure 2).

Figure 1.

Figure 1

Potential modifiable risk factors for Alzheimer's disease

Risk factors mainly included pre-existing diseases, unhealthy lifestyles and environmental exposures, while some factors concerning psychosocial conditions as well as healthy lifestyles might protect against AD. In addition, some factors appeared to be risk factors as well as symptoms of AD, possibly due to the reverse causality, these factors were highlighted in bold. Abbreviation: BP = blood pressure, DASH = Dietary Approach to Stop Hypertension, MIND = Mediterranean-DASH diet Intervention for Neurodegeneration Delay, PUFA = polyunsaturated fatty acid, HDL- cholesterol = high-density lipoprotein cholesterol.

Figure 2.

Figure 2

Implications for preventing Alzheimer's disease and slowing its progression

It is imperative to increase the cognitive reserve mainly via enhancing education attainment and promoting social contact. Additionally, good conditions of body health and healthy lifestyles as well as reducing environmental exposures might be favorable to reduce the neuropathological damage for AD prevention.

Psychosocial factors

Some prospective cohorts have studied whether these psychosocial factors might affect the cognition specifically (Supplemental Table 1).

Educational attainment

Continuing adult education could benefit language processing and intellectual capacities (10), long-term education might also have favorable influences on total brain volume such as elevated cortical surface area and thickness in the prodromal stage of AD (11, 12). Mendelian randomization studies confirmed causal associations between education and reduced AD risk [odds ratio (OR) 0.64, 95% confidence intervals (CI) 0.56–0.74] as well as delayed AD onset [hazard ratio (HR) 0.76, 95% CI 0.67–0.85] (12), which could be mediated by intelligence in part (13). These causal relationships should be delineated profoundly in future studies.

Cognitive activity and bilingualism

Active engagements in cognitive activity were likely to have 46% reduction of AD risk in the Swedish study (14). Specifically, reduced decline in memory ability and cognitive speed among those playing more analog games was reported in the Lothian cohort study (15), which could be explained in part by intensive connectivity between the hippocampus and superior frontal cortex (16). Bilingualism, as a constituent of cognitive reserve, could enhance neural efficiency by increased functional connectivity in the frontoparietal control network for executive control and the default mode network for behavior control (17), certainly, bilinguals had stronger executive and visual-spatial functions than monolinguals (18). Specifically, compared with those only speaking Cantonese or Mandarin, lifelong bilinguals manifested the first symptoms of AD markedly later (19).

Higher educational attainment could delay the onset of AD by building cognitive reserve and brain volume (11). Similarly, cognitive activity and bilingualism were also beneficial to preserve the healthy cognitive functioning (14, 15, 18). Therefore, it is needed to increase access to education especially language and promote cognitive activities in the general population to protect against AD.

Social engagement

Frequent social contact with friends was related to a modestly decrease in dementia risk, owing to the creation of cognitive reserve at the early-stage via regular heathy social engagement (20). Particularly, community cultural activities might also confer benefits to the whole cognitive function (21). A healthy couple relationship might exert greater protective effects on cognition, whereas the widowed, especially those APOE ε4 carriers, had higher risk of AD (OR 7.67, 95% CI 1.6–40.0) than those married people (22). Indeed, among cognitively intact older people, widowed individuals were at higher likelihood of suffering serious Aβ-related cognitive deterioration (23). More social engagements could exercise memory and language which might further increase cognitive reserve (20). Of note, the widowed or the singled seemed to have less communication with others, it is encouraging to establish healthy social relationships and engage more regular social activities.

Depression and stress

Depression was a significant risk for AD (OR 1.65, 95% CI 1.42–1.92) (24). The finding of Australian study further proposed that the dementia odds ratios of mild, moderate to severe depressive symptoms were 1.2 (95% CI 1.0–1.4), 1.7 (95% CI 1.4–2.2) and 2.1 (95% CI 1.4–3.2). In addition, treatment with the citalopram for more than 4 years was strongly linked to a 3-year delay in progression from mild cognitive impairment (MCI) to AD (25). Notably, citalopram could reduce cerebrospinal fluid (CSF) amyloid plaque in experimental transgenic AD mice and healthy volunteers (26), conferring great significance to clinical practice. Besides, greater microglial activation, a symbol of neurodegenerative inflammation, existed in depressive patients not receiving medications (27), thus, reasonable treatment of depression might mean significant to prevent from neurodegeneration. However, depression and AD might have common causes such as inflammation and neurodegeneration, or similar symptoms in the prodromal stage of AD (28), thus depressive symptoms appeared to be a prodromal marker of AD rather than a causal risk factor. Further, the causal association of depression with AD was not supported in a mendelian randomization study (12), therefore, this association should be explored more in detail in future studies.

Higher risk of AD incidence (HR 1.36, 95% CI 1.12–1.67) was found among those individuals with stress-related disorders (29). Chronic work-related stress was also an emerging risk factor for AD (30). Notably, oxidative stress and neuroinflammation could be induced by stress, which could further promote the production of amyloid plaques (31). Regulating stress and adjusting emotions would ameliorate detrimental psychological effects on cognition.

Pre-existing diseases

We concluded detailed discoveries of prospective studies concerning the relationships between all these pre-existing diseases and AD development (Supplemental Table 2).

Diabetes, hypertension and dyslipidemia

Evidence supporting the higher risk of affecting with AD among the diabetics [relative risks (RR) 1.43, 95% CI 1.25–1.62] was based on 24 longitudinal studies (32). Specifically, a steeper fall in perceptual speed and verbal abilities among the diabetics was also found in the Swedish study (33). Interestingly, the interaction of Aβ with islet amyloid polypeptide exacerbating AD pathogenesis might explain the molecular association of diabetes with AD (34). The diabetics without proper treatment had higher CSF p-tau level than those using antidiabetic drugs or euglycemic adults, suggesting tau pathology might be ameliorated with the antidiabetic drugs (35). Moreover, metformin use and treatment with anti-diabetic drugs might slow down the development of cognitive decline and reduce the risk of dementia (36, 37).

A remarkably increase in AD risk (HR 1.73, 95% CI 1.02–2.94) among those with midlife and late-life high systolic pressure has also been reported in the Framingham Offspring Study (38). However, decreased systolic pressure from mid-to late life also contributed to higher risk of AD (HR 2.12, 95% CI 1.12–4.00) (38). Individuals with large blood pressure variability exhibited a larger than 2-fold risk of AD (39), indicating excessive blood pressure variation might partially be responsible for AD deterioration. Fortunately, the AD risk was decreased (RR 0.78, 95% CI 0.66–0.91) because of the treatment of antihypertensives, longer use of these drugs might have significantly protective effects on cognition (40).

Blood lipids such as total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) might play important parts in the process of AD. The Three-City Study reported a significant increase in AD risk among those with hypercholesterolemia, particularly, this association would be weakened after adjusting for APOE ε4 (41). In addition, the cholesterol was divided into two subtypes including HDL-C and non-HDL-C in the Adult Changes in Thought (ACT) Study, the finding revealed a U-shaped association of non-HDL-C level with risk of AD among 60–69 aged individuals, compared with 160 mg/dl non-HDL-C, the HR was 1.29 (95% CI 1.04–1.61) at 120 mg/dl and 1.16 (95% CI 1.01–1.33) at 210 mg/dl (42). Notably, hypercholesterolemia could compromise the integrity of the blood-brain barrier, increase Aβ deposition, as well as cause neuroinflammation, all of which could exacerbate the development of AD (43). In addition, increased LDL-C levels were associated with higher AD risk (41), while HDL-C was likely to be a protective factor against AD (44). There existed no significant association between AD risk and TG level (41). Encouragingly, a meta-analysis indicated that uses of stain drugs were likely to lower the risk of AD (RR 0.86, 95% CI 0.80–0.92) among those with hyperlipidemia in prospective studies, but these beneficial effects were not stronger in randomized controlled trials (40).

Young adults had better stay away from diabetes, hypertension, hypercholesterolemia via healthier lifestyles. Patients could manage these diseases via regular uses of pharmaceuticals. Taking regular antidiabetics was associated with less tau dysfunction delaying the progression of AD (35). The antihypertensive drugs and stain drugs might be favorable to lower the risk of AD among those patients (40, 45). More studies are required to investigate whether particular medications would effectively lower the risk of developing AD.

Obesity

Consistent evidences have proposed a higher risk of developing AD among middle-aged patients with raised body mass index (BMI) whereas overweight or obesity in late-life might have protective effects on cognition (46, 47). Particularly the HR for AD was 0.89 (95% CI 0.81–0.98) among those with high late-life BMI, in contrast, there was 20% increased risk for AD (95% CI 1.09–1.33) among those with greater loss of BMI from midlife to late-life (46). Consistently, the obese elderly tended to have less Aβ load and larger hippocampus volume (47). The underlying mechanism might be partially attributed to the increased leptin produced mainly by adipocytes, leptin could robustly facilitate the neurogenesis of hippocampus in AD mouse models (48). Of note, we should emphasize the role of age in evaluating the association of obesity with AD. Young adults should maintain or lose weight under the healthy range (18.5–24.9 kg/m2) while older individuals should avoid greater weight loss otherwise attention should be focused on this situation.

Cardiovascular diseases

The HR of AD following atrial fibrillation was 1.31 (95% CI 1.20–1.43) in the Korean study (49). In addition, mild reductions in cardiac index were also related to a marked increase in AD risk (HR 2.87, 95% CI 1.21–6.80) over a long period of 7.7 years (50). Cerebral hypoperfusion, caused by lower cardiac output in atrial fibrillation patients, could explain the deteriorations of cortical atrophy and neuropathological features (51). Encouragingly, individuals with atrial fibrillation undergoing oral anticoagulants were at a lower risk of developing AD (HR 0.61, 95% CI 0.54–0.68) (49). Interestingly, compared with medical therapy, the risk of AD was decreased among atrial fibrillation patients treated with catheter ablation (HR 0.77, 95% CI 0.61–0.97) (52).

About 59% elevated risk of AD among stroke patients was well documented in a meta-analysis incorporating six studies (53). Consequently, effective strategies to reduce the extent of brain injury after stroke may help delay or prevent the progression of AD. A markedly increase in AD risk among individuals with multiple cerebral microbleeds has been reported in the Rotterdam Study (HR 2.10, 95% CI 1.21–3.64) (54). Meanwhile, severe cerebral atherosclerosis (OR 1.33, 95% CI 1.11–1.58) and arteriolosclerosis (OR 1.20, 95% CI 1.04–1.40) were also regarded as strong risk factors for AD (55). Neurovascular unit disorder, due to cerebrovascular diseases, could cause decreased cerebral blood flow, induce blood-brain barrier disruptions as well as selective brain atrophies, all of which could result in direct damage to neurons and trigger Aβ accumulation indirectly (56). Thus, better understanding of these relationships may acquire cognitive benefits from appropriate treatment.

Early screening and intervention of vascular risks as well as maintaining good cardiovascular conditions should become the top priority for AD prevention. Pharmaceuticals uses like oral anticoagulants and catheter ablation would significantly lower the risk of AD among atrial fibrillation patients (49, 52).

Traumatic brain injury

Participants exposed to traumatic brain injury (TBI) had increased risk of developing AD in the Danish study (HR 1.16, 95% CI 1.12–1.22) and in a Swedish study (OR 1.58, 95% CI 1.49–1.69), which could be strengthened by some detailed discoveries of TBI such as severe and multiple TBIs, the first few months since the trauma occurrence, younger individuals with the injury as well as TBI involving the skull or spine (57, 58). Particularly, athletes experiencing many years of head injury were more susceptible to die from AD according to their death certificates (59). Furthermore, among the American military veterans, women having TBI were at higher risk of developing dementia (60). Encouragingly, stain medication especially the rosuvastatin, owing to the potential neuroprotective benefits, might reduce the dementia risk among those individuals having a concussion (45). Thus, more studies are required to focus on the risk of TBI individuals to have AD and formulate therapeutic strategies to mitigate the risk and impact of AD. Considering the deleterious effects of TBI on cognition, the public had better take measures to protect the head properly from injuries when engaging in dangerous activities or work.

Hyperhomocysteinemia

A meta-analysis incorporating 5 prospective studies found a linear dose-response relationship between blood homocysteine (Hcy) levels and risk of AD (HR 1.15, 95% CI 1.04–1.26, per 5 µmol/L increment) (61). However, in some findings of longitudinal studies such dose-dependent relationship only existed in the range of high serum Hcy concentrations (about ≥10 µmol/l) (62). These inconsistent exposure-response associations should be further assessed in large-scale prospective studies. In addition, the elevation of Aβ deposition and tau hyperphosphorylation could be modulated by high Hcy levels via γ-secretase pathway and cdk5 kinase in mouse models (63). Additionally, hyperhomocysteinemia could be alleviated via folic acid supplementation (64), improving total homocysteine metabolism may also represent a viable strategy for AD prevention.

Hearing loss and oral diseases

And in a case-control study the OR was 1.39 for AD (95% CI 1.05–1.84) following hearing loss (65). Owing to the awful listening conditions, individuals might have difficulty in understanding speech and experience communication disorders even social isolation, contributing to reduced cognitive stimulation from the acoustic environment (66), which could aggravate cognitive impairment mediated by accelerated brain atrophy. Indeed, individuals with midlife hearing impairment tended to have prominent temporal lobe volume loss (67). Encouragingly, hearing aids and cochlear implants could mitigate some worse listening status, slowing down the rate of cognitive decline (68), early screening and correction of hearing loss might hold significant influence on AD prevention.

Oral diseases particularly tooth loss and chronic periodontitis were great concerns for cognitive dysfunction, probably mediated by local and systemic inflammatory responses (69), tooth loss was a strong risk factor for AD in the Hisayama Study (69). Specifically, individuals with chronic periodontitis were more susceptible to AD (HR 1.707, 95% CI 1.152–2.528) (70), periodontitis might induce peripheral inflammation through byperiodontal pathological bacteria directly or proinflammatory cytokines indirectly (71). Much attention should be attached to oral care especially in developing counties to prevent AD.

Lifestyles

We identified plenty of prospective studies regarding lifestyles related to the risk of cognitive decline and AD (Supplemental Table 3, Supplemental Table 4).

Physical activity

Higher participation in daily physical activity was related to about half decreased risk of AD in the Hisayama Study (72). In addition, cognitive benefits of regular resistance exercise and choreographic intervention could delay the neurodegenerative process especially in those domains related to the conversion to dementia (73, 74). Besides, aerobic exercise was also beneficial to some cognitive domains including executive function and oral fluency (75), possibly due to the protective effects on hippocampus volume and neuronal health (76). After one-year aerobic exercise training, improvements of cardiorespiratory function particularly cerebral perfusion and memory ability were found in a prospective study (77). The neurotrophic effects of active exercise are needed to be further investigated, especially its type, intensity, duration and timing might have greater implications on AD prevention. However, in the Whitehall II study physical activities appeared to have no neuroprotective effects on cognitive functioning, individuals in the preclinical stage of AD tended to have lower physical activity levels than the healthy elderly (78), in other words, reverse causality might account for the relationship between active exercise and reduced risk of AD. It still remains controversial whether reverse causality could explain the favorable effects of physical activity on cognition.

Sleep disturbances

Sleep disturbances (insomnia and sleep disordered breathing) were risk factors for AD, and those with sleep disorders were more likely to experience more accumulation of neurotoxic substances as a result of the decreased metabolite clearance ability (79). There was a 66% (95% CI 1.03–2.68) increased AD risk in participants having severe obstructive sleep apnea (≥30 vs.<5 apnea-hypopnea events/hour) (80). Additionally, individuals with longer sleep length (> 9 hours) showed a greater than 2-fold risk of AD (81), the RR of AD following habitual shorter sleep duration was 1.25 (95% CI 0.88–1.76) (80). Moreover, both short duration (≤6 hours) and long duration (≥8 hours) all had detrimental effects on cognitive function, it further offered a V-shaped association of daily sleep duration with cognitive decline and subsequent risk for dementia (82). Notably, greater amyloid deposition was more common among those who had insufficient or excessive nocturnal sleep time (83). And there existed a causal relationship between sleep length and elevated cortical thickness in a mendelian randomization study (12). There may also exist a bidirectional relationship between sleep dysregulation and AD pathology, sleep disorders could stimulate the accumulation of Aβ and tau, meanwhile the enhanced aggregation of Aβ and tau may exacerbate the progression of sleep disturbances (84). More long-term longitudinal studies are needed to further explore the potential role of sleep dysregulation as a biomarker of AD and the potential bidirectional relationship. High quality sleep is extremely important in maintaining cognition, when having sleep problems patients should consult a doctor and receive therapy in time.

Smoking

Smoking increased the risk of AD (RR 1.40, 95% CI 1.13–1.73), which was also prominent among non-APOE ε4 carriers in a meta-analysis including 37 longitudinal studies (85). Of note, smoking initiation was associated with lower cortical thickness (12). Smoking-related cerebral oxidative stress might facilitate the production of amyloid or tau pathology (86). In contrast, never-smokers had 18% risk reduction of AD than continual smokers (87), indicating that early smoking cessation would confer greater benefits on cognition.

Alcohol consumption

The effects of alcohol intake on cognitive function may remain controversial in many epidemiological findings. The Nord-Trøndelag Health study supported a 47% elevated AD risk (95% CI 1.00–2.16) among frequent alcohol drinkers (≥5 times/two weeks) vs. infrequently drinkers (1–4 times) (88). This relationship was thought to be J-shaped, suitable alcohol intake (<12.0 g/day) could protect against dementia (89, 90), similar with the relationship between coffee intake and AD. It is not advisable to take excessive drinking in daily life, as for the heavy alcohol drinkers, extracellular cold-inducible RNA-binding protein (eCIRP) might mediate tau phosphorylation, leading to the progression of alcohol-induced AD (91). After matured hop bitter acid supplementation from beer, improvement of cognitive status was confirmed in a randomized trial (92). Particularly, alcohol from wine appeared to be stronger inversely related to the risk of dementia (89, 90), polyphenolic and antioxidant contents in wine showed greater protective effects against neurodegeneration (93). More primary studies should be warranted to clarify the underlying mechanism explaining the AD risk related to alcohol intake.

The only established causal relationship between earlier AD onset and alcohol consumption was found in a mendelian randomization study (94), which indicated that moderate alcohol intake might be harmful to the brain health but not beneficial. This study also stressed that potential confounding factors should be seriously taken into consideration, especially the survival bias (94), therefore future studies should delineate this relationship thoroughly and precisely.

Coffee and tea

A J-shaped association of coffee intake with AD was proposed, low (1–2 cups/day) but not high (>3 cups/day) coffee intake was related to a 18% reduction of AD risk (RR 0.82, 95% CI 0.71–0.94, vs. <1 cup/day) (95), which was more pronounced among women (96). However, this gender characteristic was different from tea intake. The protective effects of green tea on cognition were more prominent in men (97, 98). Some neuroprotective components may exist in the coffee or green tea drinking like caffeine and L-theanine (99), anti-amyloid effects of green tea might protect against AD mainly including inhibition of Aβ aggregation and reduction of Aβ-induced oxidative stress (100). Moderate coffee consumption and green tea drinking should be encouraged to the public. There was reduced level of CSF total-tau protein among frequent green tea consumers, probably owing to improved abnormal tau metabolism (98). However, the black tea and oolong tea did not show cognitive benefits in the overall elderly Han study population (97).

Diets

Three dietary patterns including the Mediterranean diet (HR 0.46, 95% CI 0.26–0.79), the DASH (Dietary Approaches to Stop Hypertension) diet (HR 0.61, 95% CI 0.38–0.97) and the MIND (Mediterranean-DASH Intervention for Neurodegenerative Delay) diet (HR 0.47, 95% CI 0.26–0.76), were all inversely associated with the risk of AD (101), the protective effects of these dietary patterns on cognition might be attributed to anti-oxidant, anti-inflammatory, and anti-diabetic effects and enough mono-/poly-unsaturated fats (102). More interestingly, the Three-city study proposed the concept of novel diet pattern, a more diverse diet including vegetables, fresh fruits and seafood, might be particularly beneficial to the cognitive function (103). Particularly, ketogenic diets could reduce the AD risk via altering gut mycobiome (104), while following higher glycemic load intake the HR increased by 27% for AD (105). Additionally, a meta-analysis incorporating 21 cohort studies proposed that higher intake of fish (RR 0.93, 95% CI 0.90–0.95) and marine-derived dietary docosahexaenoic acid (RR 0.63, 95% CI 0.51–0.76) could protect against the risk of developing AD (106). Besides, habitual intake of seafood was associated with lower burden of AD brain pathology among APOE ε4 carriers, which was not affected by higher brain levels of mercury (107).

Severe 25-Hydroxyvitamin D [25(OH)D] deficiency (<25 nmol/L) was related to elevated risk of AD (HR 2.22, 95% CI 1.02–4.83), as was 25(OH)D inadequacy (25–50 nmol/L) (HR 1.69, 95% CI 1.06–2.69), using the level of more than 50 nmol/L as the refence category (108). Persons in early adulthood taking more B vitamins including niacin, folate, vitamin B-6, and vitamin B-12 were likely to acquire better cognitive performance in late life (109). In addition, the potential cognitive benefits of vitamin C were more remarkable among women APOE 4-carriers while higher blood vitamin E level might hold such benefits among APOE 4-negative men (110). Higher flavonoids intake from daily food might reduce the risk of AD incidence by 38% (95% CI 0.39–0.98), which was independent of other lifestyle factors and cardiovascular related diseases (111). Therefore, further studies are required to delineate the potential biologic explanations, and more mendelian randomization studies are needed to elucidate whether these associations of micronutrients intake with the cognition are causal. It is necessary to take certain vitamins and other micronutrients from daily diets properly.

Others

Medications

Current or former nonsteroidal anti-inflammatory drugs (NSAIDs) exposure was associated with a 19% reduction in AD risk (95% CI 0.70–0.94) (112). However, in a randomized placebo-controlled trial, no robust evidence supported that aspirin could effectively lower the risk of AD (113), aligned with the meta-analysis conducted by Veronese et al (114). In this meta-analysis, low-dose aspirin did not seem to improve the cognitive function (114). Therefore, it still remains controversial whether NSAIDs would protect against AD.

The adverse impact of anticholinergic medications on cognition was underscored. Over a long period of 4 years, excess use of anticholinergics was considered as a risk for AD (HR 1.63, 95% CI 1.24–2.14) (115). Minimizing anticholinergic use over time might be important to preserve the cognition.

Pollutions

We identified several longitudinal cohorts studying some environment factors associated with the risk of cognitive decline and AD (Supplemental Table 3). Misfolding and abnormal aggregation of p-tau and Aβ were found in the brainstem of children and young adults exposed to Mexico City's air pollution (116). In a study from Northern Sweden, there was a 38% elevated risk for AD among those exposed to residential traffic-related air pollution (95% CI 0.87–2.19) when comparing the highest with the lowest quartile of NOx (≥26 vs. ≤9 µg/m3) (117). Indeed, Particulate Matter2.5 (PM2.5) relevant with gray matter atrophy indicated higher risk of AD (HR 1.24, 95% CI 1.14–1.34) in older women (118, 119). The adverse effects of air pollutants on cognition might be amplified by cardiovascular diseases including heart failure and ischemic heart disease (120). Crucially, long-term air pollution might accelerate the progression of neurodegeneration via vascular disease, Aβ deposition and neuroinflammation (116, 120). Therefore, reducing the exposures of air pollution seems particularly important for AD prevention. More studies are required to investigate the effects of environmental exposures on AD and the potential mechanisms underlying these relationships.

Conclusions

Many longitudinal studies have identified various risk and protective factors for AD, including some that could be targeted to reduce risk of AD or delay the onset of AD, suitable preventions might help slow down the progress of AD. More policies targeting education popularization and social or cognitive activities promotion should be put forward among the public. Managing the preexisting disease reasonably and maintaining daily healthy lifestyles would protect against AD. Additionally, environment protection especially targeting air pollutants would be of great importance to AD prevention. If possible, more studies should focus on individuals at high risk of AD or in the prodromal stage of AD, among whom daily preventions and neuroprotective interventions are likely to exert greater favorable effects.

Acknowledgements

This study was supported by grants from the National Key R&D Program of China (2018YFC1314700), Shanghai Municipal Science and Technology Major Project (No.2018SHZDZX01) and ZHANGJIANG LAB, Tianqiao and Chrissy Chen Institute, and the State Key Laboratory of Neurobiology and Frontiers Center for Brain Science of Ministry of Education, Fudan University.

Contributor Information

Lan Tan, Email: dr.tanlan@163.com.

Jin-Tai Yu, Email: yu-jintai@163.com.

Electronic supplementary material

Supplementary material is available for this article at https://doi.org/10.14283/jpad.2021.15 and is accessible for authorized users.

Supplementary material, approximately 190 KB.

mmc1.docx (191KB, docx)

Conflicting interests: None.

References

  • 1.Scheltens P, Blennow K, Breteler MM, et al. Alzheimer's disease. Lancet (London, England) 2016;388:505–517. doi: 10.1016/S0140-6736(15)01124-1. 10.1016/S0140-6736(15)01124-1 [DOI] [PubMed] [Google Scholar]
  • 2.Winblad B, Amouyel P, Andrieu S, et al. Defeating Alzheimer's disease and other dementias: a priority for European science and society. The Lancet. Neurology. 2016;15:455–532. doi: 10.1016/S1474-4422(16)00062-4. PubMed PMID: 26987701. [DOI] [PubMed] [Google Scholar]
  • 3.Alzheimer's Disease International; London: 2018. C. P World Alzheimer report 2018. [Google Scholar]
  • 4.Norton S, Matthews FE, Barnes DE, Yaffe K, Brayne C. Potential for primary prevention of Alzheimer's disease: an analysis of population-based data. The Lancet. Neurology. 2014;13:788–794. doi: 10.1016/S1474-4422(14)70136-X. 10.1016/S1474-4422(14)70136-X PubMed PMID: 25030513. [DOI] [PubMed] [Google Scholar]
  • 5.2020 Alzheimer's disease facts and figures. Alzheimer's & Dementia. 2020;16:391–460. doi: 10.1002/alz.12068. [DOI] [PubMed] [Google Scholar]
  • 6.Ohara T, Hata J, Yoshida D, et al. Trends in dementia prevalence, incidence, and survival rate in a Japanese community. Neurology. 2017;88:1925–1932. doi: 10.1212/WNL.0000000000003932. 10.1212/WNL.0000000000003932 PubMed PMID: 28424272. [DOI] [PubMed] [Google Scholar]
  • 7.Chan KY, Wang W, Wu JJ, et al. Epidemiology of Alzheimer's disease and other forms of dementia in China, 1990–2010: a systematic review and analysis. Lancet (London, England) 2013;381:2016–2023. doi: 10.1016/S0140-6736(13)60221-4. 10.1016/S0140-6736(13)60221-4 [DOI] [PubMed] [Google Scholar]
  • 8.Global, regional, and national burden of Alzheimer's disease and other dementias, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. Neurology. 2019;18:88–106. doi: 10.1016/S1474-4422(18)30403-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Livingston G, Huntley J, Sommerlad A, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet (London, England) 2020;396:413–446. doi: 10.1016/S0140-6736(20)30367-6. 10.1016/S0140-6736(20)30367-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Matyas N, Keser Aschenberger F, Wagner G, et al. Continuing education for the prevention of mild cognitive impairment and Alzheimer's-type dementia: a systematic review and overview of systematic reviews. BMJ open. 2019;9:e027719. doi: 10.1136/bmjopen-2018-027719. 10.1136/bmjopen-2018-027719 PubMed PMID: 31270114, PMCID 6609120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Wada M, Noda Y, Shinagawa S, et al. Effect of Education on Alzheimer's Disease-Related Neuroimaging Biomarkers in Healthy Controls, and Participants with Mild Cognitive Impairment and Alzheimer's Disease: A Cross-Sectional Study. Journal of Alzheimer's disease: JAD. 2018;63:861–869. doi: 10.3233/JAD-171168. 10.3233/JAD-171168 PubMed PMID: 29689728. [DOI] [PubMed] [Google Scholar]
  • 12.Andrews SJ, Fulton-Howard B, O'Reilly P, Marcora E, Goate AM. Causal Associations Between Modifiable Risk Factors and the Alzheimer's Phenome. Annals of neurology. 2020 doi: 10.1002/ana.25918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Anderson EL, Howe LD, Wade KH, et al. Education, intelligence and Alzheimer's disease: evidence from a multivariable two-sample Mendelian randomization study. International journal of epidemiology. 2020 doi: 10.1093/ije/dyz280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Najar J, Östling S, Gudmundsson P, et al. Cognitive and physical activity and dementia: A 44-year longitudinal population study of women. Neurology. 2019;92:e1322–e1330. doi: 10.1212/WNL.0000000000007021. 10.1212/WNL.0000000000007021 PubMed PMID: 30787164, PMCID 6511097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Altschul DM, Deary IJ. Playing Analog Games Is Associated With Reduced Declines in Cognitive Function: A 68-Year Longitudinal Cohort Study. The journals of gerontology. Series B, Psychological sciences and social sciences. 2020;75:474–482. doi: 10.1093/geronb/gbz149. 10.1093/geronb/gbz149 PubMed PMID: 31738418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Suo C, Singh MF, Gates N, et al. Therapeutically relevant structural and functional mechanisms triggered by physical and cognitive exercise. Molecular psychiatry. 2016;21:1633–1642. doi: 10.1038/mp.2016.19. 10.1038/mp.2016.19 PubMed PMID: 27001615, PMCID 5078857. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Grady CL, Luk G, Craik FIM, Bialystok E. Brain network activity in monolingual and bilingual older adults. Neuropsychologia. 2015;66:170–181. doi: 10.1016/j.neuropsychologia.2014.10.042. 10.1016/j.neuropsychologia.2014.10.042 PubMed PMID: 25445783. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Estanga A, Ecay-Torres M, Ibañez A, et al. Beneficial effect of bilingualism on Alzheimer's disease CSF biomarkers and cognition. Neurobiology of aging. 2017;50:144–151. doi: 10.1016/j.neurobiolaging.2016.10.013. 10.1016/j.neurobiolaging.2016.10.013 PubMed PMID: 27916386. [DOI] [PubMed] [Google Scholar]
  • 19.Zheng Y, Wu Q, Su F, et al. The Protective Effect of Cantonese/Mandarin Bilingualism on the Onset of Alzheimer Disease. Dementia and geriatric cognitive disorders. 2018;45:210–219. doi: 10.1159/000488485. 10.1159/000488485 PubMed PMID: 29886485. [DOI] [PubMed] [Google Scholar]
  • 20.Sommerlad A, Sabia S, Singh-Manoux A, Lewis G, Livingston G. Association of social contact with dementia and cognition: 28-year follow-up of the Whitehall II cohort study. PLoS medicine. 2019;16:e1002862. doi: 10.1371/journal.pmed.1002862. 10.1371/journal.pmed.1002862 PubMed PMID: 31374073, PMCID 6677303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Fancourt D, Steptoe A, Cadar D. Community engagement and dementia risk: time-to-event analyses from a national cohort study. Journal of epidemiology and community health. 2020;74:71–77. doi: 10.1136/jech-2019-213029. 10.1136/jech-2019-213029 PubMed PMID: 31662344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Håkansson K, Rovio S, Helkala E-L, et al. Association between mid-life marital status and cognitive function in later life: population based cohort study. BMJ (Clinical research ed.) 2009;339:b2462. doi: 10.1136/bmj.b2462. 10.1136/bmj.b2462 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Biddle KD, Jacobs HIL, d'Oleire Uquillas F, et al. Associations of Widowhood and beta-Amyloid With Cognitive Decline in Cognitively Unimpaired Older Adults. JAMA network open. 2020;3:e200121. doi: 10.1001/jamanetworkopen.2020.0121. 10.1001/jamanetworkopen.2020.0121 PubMed PMID: 32101313, PMCID 7099624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Diniz BS, Butters MA, Albert SM, Dew MA, Reynolds CF. Late-life depression and risk of vascular dementia and Alzheimer's disease: systematic review and meta-analysis of community-based cohort studies. The British journal of psychiatry: the journal of mental science. 2013;202:329–335. doi: 10.1192/bjp.bp.112.118307. 10.1192/bjp.bp.112.118307 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bartels C, Wagner M, Wolfsgruber S, Ehrenreich H, Schneider A. Impact of SSRI Therapy on Risk of Conversion From Mild Cognitive Impairment to Alzheimer's Dementia in Individuals With Previous Depression. The American journal of psychiatry. 2018;175:232–241. doi: 10.1176/appi.ajp.2017.17040404. 10.1176/appi.ajp.2017.17040404 PubMed PMID: 29179578. [DOI] [PubMed] [Google Scholar]
  • 26.Sheline YI, West T, Yarasheski K, et al. An antidepressant decreases CSF Aβ production in healthy individuals and in transgenic AD mice. Science translational medicine. 2014;6:236re234. doi: 10.1126/scitranslmed.3008169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Setiawan E, Attwells S, Wilson AA, et al. Association of translocator protein total distribution volume with duration of untreated major depressive disorder: a cross-sectional study. The lancet. Psychiatry. 2018;5:339–347. doi: 10.1016/S2215-0366(18)30048-8. PubMed PMID: 29496589. [DOI] [PubMed] [Google Scholar]
  • 28.Singh-Manoux A, Dugravot A, Fournier A, et al. Trajectories of Depressive Symptoms Before Diagnosis of Dementia: A 28-Year Follow-up Study. JAMA psychiatry. 2017;74:712–718. doi: 10.1001/jamapsychiatry.2017.0660. 10.1001/jamapsychiatry.2017.0660 PubMed PMID: 28514478, PMCID 5710246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Song H, Sieurin J, Wirdefeldt K, et al. Association of Stress-Related Disorders With Subsequent Neurodegenerative Diseases. JAMA neurology. 2020 doi: 10.1001/jamaneurol.2020.0117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Sindi S, Hagman G, Hakansson K, et al. Midlife Work-Related Stress Increases Dementia Risk in Later Life: The CAIDE 30-Year Study. The journals of gerontology. Series B, Psychological sciences and social sciences. 2017;72:1044–1053. doi: 10.1093/geronb/gbw043. PubMed PMID: 27059705. [DOI] [PubMed] [Google Scholar]
  • 31.Greenberg MS, Tanev K, Marin M-F, Pitman RK. Stress, PTSD, and dementia. Alzheimer's & dementia: the journal of the Alzheimer's Association. 2014;10:S155–S165. doi: 10.1016/j.jalz.2014.04.008. [DOI] [PubMed] [Google Scholar]
  • 32.Xue M, Xu W, Ou YN, et al. Diabetes mellitus and risks of cognitive impairment and dementia: A systematic review and meta-analysis of 144 prospective studies. Ageing research reviews. 2019;55:100944. doi: 10.1016/j.arr.2019.100944. 10.1016/j.arr.2019.100944 PubMed PMID: 31430566. [DOI] [PubMed] [Google Scholar]
  • 33.Marseglia A, Dahl Aslan AK, Fratiglioni L, et al. Cognitive Trajectories of Older Adults With Prediabetes and Diabetes: A Population-Based Cohort Study. The journals of gerontology. Series A, Biological sciences and medical sciences. 2018;73:400–406. doi: 10.1093/gerona/glx112. 10.1093/gerona/glx112 PubMed PMID: 28633303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Moreno-Gonzalez I, Edwards G, III, Salvadores N, et al. Molecular interaction between type 2 diabetes and Alzheimer's disease through cross-seeding of protein misfolding. Molecular psychiatry. 2017;22:1327–1334. doi: 10.1038/mp.2016.230. 10.1038/mp.2016.230 PubMed PMID: 28044060, PMCID 5495631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.McIntosh EC, Nation DA. Importance of Treatment Status in Links Between Type 2 Diabetes and Alzheimer's Disease. Diabetes care. 2019;42:972–979. doi: 10.2337/dc18-1399. 10.2337/dc18-1399 PubMed PMID: 30833374, PMCID 6489115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Samaras K, Makkar S, Crawford JD, et al. Metformin Use Is Associated With Slowed Cognitive Decline and Reduced Incident Dementia in Older Adults With Type 2 Diabetes: The Sydney Memory and Ageing Study. Diabetes care. 2020 doi: 10.2337/dc20-0892. [DOI] [PubMed] [Google Scholar]
  • 37.Wium-Andersen IK, Osler M, Jørgensen MB, Rungby J, Wium-Andersen MK. Antidiabetic medication and risk of dementia in patients with type 2 diabetes: a nested case-control study. Eur J Endocrinol. 2019;181:499–507. doi: 10.1530/EJE-19-0259. 10.1530/EJE-19-0259 PubMed PMID: 31437816. [DOI] [PubMed] [Google Scholar]
  • 38.McGrath ER, Beiser AS, DeCarli C, et al. Blood pressure from mid- to late life and risk of incident dementia. Neurology. 2017;89:2447–2454. doi: 10.1212/WNL.0000000000004741. 10.1212/WNL.0000000000004741 PubMed PMID: 29117954, PMCID 5729797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Oishi E, Ohara T, Sakata S, et al. Day-to-Day Blood Pressure Variability and Risk of Dementia in a General Japanese Elderly Population: The Hisayama Study. Circulation. 2017;136:516–525. doi: 10.1161/CIRCULATIONAHA.116.025667. 10.1161/CIRCULATIONAHA.116.025667 PubMed PMID: 28784822, PMCID 5548511. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Larsson SC, Markus HS. Does Treating Vascular Risk Factors Prevent Dementia and Alzheimer's Disease? A Systematic Review and Meta-Analysis. Journal of Alzheimer's disease: JAD. 2018;64:657–668. doi: 10.3233/JAD-180288. 10.3233/JAD-180288 PubMed PMID: 29914039. [DOI] [PubMed] [Google Scholar]
  • 41.Schilling S, Tzourio C, Soumare A, et al. Differential associations of plasma lipids with incident dementia and dementia subtypes in the 3C Study: A longitudinal, population-based prospective cohort study. PLoS medicine. 2017;14:e1002265. doi: 10.1371/journal.pmed.1002265. 10.1371/journal.pmed.1002265 PubMed PMID: 28350817, PMCID 5369688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Marcum ZA, Walker R, Bobb JF, et al. Serum Cholesterol and Incident Alzheimer's Disease: Findings from the Adult Changes in Thought Study. Journal of the American Geriatrics Society. 2018;66:2344–2352. doi: 10.1111/jgs.15581. 10.1111/jgs.15581 PubMed PMID: 30289959, PMCID 6289681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Chew H, Solomon VA, Fonteh AN. Involvement of Lipids in Alzheimer's Disease Pathology and Potential Therapies. Front Physiol. 2020;11:598. doi: 10.3389/fphys.2020.00598. 10.3389/fphys.2020.00598 PubMed PMID: 32581851, PMCID 7296164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Svensson T, Sawada N, Mimura M, et al. The association between midlife serum high-density lipoprotein and mild cognitive impairment and dementia after 19 years of follow-up. Translational psychiatry. 2019;9:26. doi: 10.1038/s41398-018-0336-y. 10.1038/s41398-018-0336-y PubMed PMID: 30659169, PMCID 6338778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Redelmeier DA, Manzoor F, Thiruchelvam D. Association Between Statin Use and Risk of Dementia After a Concussion. JAMA neurology. 2019 doi: 10.1001/jamaneurol.2019.1148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Tolppanen AM, Ngandu T, Kareholt I, et al. Midlife and late-life body mass index and late-life dementia: results from a prospective population-based cohort. Journal of Alzheimer's disease: JAD. 2014;38:201–209. doi: 10.3233/JAD-130698. 10.3233/JAD-130698 PubMed PMID: 23948937. [DOI] [PubMed] [Google Scholar]
  • 47.Sun Z, Wang Z-T, Sun F-R, et al. Late-life obesity is a protective factor for prodromal Alzheimer's disease: a longitudinal study. Aging. 2020;12:2005–2017. doi: 10.18632/aging.102738. 10.18632/aging.102738 PubMed PMID: 31986486, PMCID 7053604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Pérez-González R, Antequera D, Vargas T, et al. Leptin induces proliferation of neuronal progenitors and neuroprotection in a mouse model of Alzheimer's disease. Journal of Alzheimer's disease: JAD. 2011;24(Suppl2):17–25. doi: 10.3233/JAD-2011-102070. 10.3233/JAD-2011-102070 PubMed PMID: 21335656. [DOI] [PubMed] [Google Scholar]
  • 49.Kim D, Yang P-S, Yu HT, et al. Risk of dementia in stroke-free patients diagnosed with atrial fibrillation: data from a population-based cohort. European heart journal. 2019;40:2313–2323. doi: 10.1093/eurheartj/ehz386. 10.1093/eurheartj/ehz386 PubMed PMID: 31212315. [DOI] [PubMed] [Google Scholar]
  • 50.Jefferson AL, Beiser AS, Himali JJ, et al. Low cardiac index is associated with incident dementia and Alzheimer disease: the Framingham Heart Study. Circulation. 2015;131:1333–1339. doi: 10.1161/CIRCULATIONAHA.114.012438. 10.1161/CIRCULATIONAHA.114.012438 PubMed PMID: 25700178, PMCID 4398627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Austin BP, Nair VA, Meier TB, et al. Effects of hypoperfusion in Alzheimer's disease. Journal of Alzheimer's disease: JAD. 2011;26(Suppl3):123–133. doi: 10.3233/JAD-2011-0010. 10.3233/JAD-2011-0010 PubMed PMID: 21971457. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Kim D, Yang P-S, Sung J-H, et al. Less dementia after catheter ablation for atrial fibrillation: a nationwide cohort study. European heart journal. 2020 doi: 10.1093/eurheartj/ehaa726. [DOI] [PubMed] [Google Scholar]
  • 53.Zhou J, Yu JT, Wang HF, et al. Association between stroke and Alzheimer's disease: systematic review and meta-analysis. Journal of Alzheimer's disease: JAD. 2015;43:479–489. doi: 10.3233/JAD-140666. 10.3233/JAD-140666 PubMed PMID: 25096624. [DOI] [PubMed] [Google Scholar]
  • 54.Akoudad S, Wolters FJ, Viswanathan A, et al. Association of Cerebral Microbleeds With Cognitive Decline and Dementia. JAMA neurology. 2016;73:934–943. doi: 10.1001/jamaneurol.2016.1017. 10.1001/jamaneurol.2016.1017 PubMed PMID: 27271785, PMCID 5966721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Arvanitakis Z, Capuano AW, Leurgans SE, Bennett DA, Schneider JA. Relation of cerebral vessel disease to Alzheimer's disease dementia and cognitive function in elderly people: a cross-sectional study. The Lancet. Neurology. 2016;15:934–943. doi: 10.1016/S1474-4422(16)30029-1. 10.1016/S1474-4422(16)30029-1 PubMed PMID: 27312738, PMCID 4969105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Zlokovic BV. Neurovascular pathways to neurodegeneration in Alzheimer's disease and other disorders, Nature reviews. Neuroscience. 2011;12:723–738. doi: 10.1038/nrn3114. 10.1038/nrn3114 PubMed PMID: 22048062, PMCID 4036520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Fann JR, Ribe AR, Pedersen HS, et al. Long-term risk of dementia among people with traumatic brain injury in Denmark: a population-based observational cohort study. The lancet. Psychiatry. 2018;5:424–431. doi: 10.1016/S2215-0366(18)30065-8. PubMed PMID: 29653873. [DOI] [PubMed] [Google Scholar]
  • 58.Nordström A, Nordström P. Traumatic brain injury and the risk of dementia diagnosis: A nationwide cohort study. PLoS medicine. 2018;15:e1002496. doi: 10.1371/journal.pmed.1002496. 10.1371/journal.pmed.1002496 PubMed PMID: 29381704, PMCID 5790223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Mackay DF, Russell ER, Stewart K, et al. Neurodegenerative Disease Mortality among Former Professional Soccer Players. The New England journal of medicine. 2019;381:1801–1808. doi: 10.1056/NEJMoa1908483. 10.1056/NEJMoa1908483 PubMed PMID: 31633894, PMCID 8747032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Yaffe K, Lwi SJ, Hoang TD, et al. Military-related risk factors in female veterans and risk of dementia. Neurology. 2019;92:e205–e211. doi: 10.1212/WNL.0000000000006778. 10.1212/WNL.0000000000006778 PubMed PMID: 30541865, PMCID 6340384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Zhou F, Chen S. Hyperhomocysteinemia and risk of incident cognitive outcomes: An updated dose-response meta-analysis of prospective cohort studies. Ageing research reviews. 2019;51:55–66. doi: 10.1016/j.arr.2019.02.006. 10.1016/j.arr.2019.02.006 PubMed PMID: 30826501. [DOI] [PubMed] [Google Scholar]
  • 62.Chen S, Honda T, Ohara T, et al. Serum homocysteine and risk of dementia in Japan. Journal of neurology, neurosurgery, and psychiatry. 2020;91:540–546. doi: 10.1136/jnnp-2019-322366. 10.1136/jnnp-2019-322366 PubMed PMID: 32234968. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Li J-G, Chu J, Barrero C, Merali S, Praticò D. Homocysteine exacerbates β-amyloid pathology, tau pathology, and cognitive deficit in a mouse model of Alzheimer disease with plaques and tangles. Annals of neurology. 2014;75:851–863. doi: 10.1002/ana.24145. 10.1002/ana.24145 PubMed PMID: 24644038, PMCID 4362695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Kaye AD, Jeha GM, Pham AD, et al. Folic Acid Supplementation in Patients with Elevated Homocysteine Levels. Adv Ther. 2020;37:4149–4164. doi: 10.1007/s12325-020-01474-z. 10.1007/s12325-020-01474-z PubMed PMID: 32845472, PMCID 7497502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Hung S-C, Liao K-F, Muo C-H, et al. Hearing Loss is Associated With Risk of Alzheimer's Disease: A Case-Control Study in Older People. Journal of epidemiology. 2015;25:517–521. doi: 10.2188/jea.JE20140147. 10.2188/jea.JE20140147 PubMed PMID: 25986155, PMCID 4517989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Griffiths TD, Lad M, Kumar S, et al. How Can Hearing Loss Cause Dementia? Neuron. 2020 doi: 10.1016/j.neuron.2020.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Armstrong NM, An Y, Doshi J, et al. Association of Midlife Hearing Impairment With Late-Life Temporal Lobe Volume Loss. JAMA Otolaryngol Head Neck Surg. 2019 doi: 10.1001/jamaoto.2019.1610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Maharani A, Dawes P, Nazroo J, Tampubolon G, Pendleton N. Longitudinal Relationship Between Hearing Aid Use and Cognitive Function in Older Americans. Journal of the American Geriatrics Society. 2018;66:1130–1136. doi: 10.1111/jgs.15363. 10.1111/jgs.15363 PubMed PMID: 29637544. [DOI] [PubMed] [Google Scholar]
  • 69.Takeuchi K, Ohara T, Furuta M, et al. Tooth Loss and Risk of Dementia in the Community: the Hisayama Study. Journal of the American Geriatrics Society. 2017;65:e95–e100. doi: 10.1111/jgs.14791. 10.1111/jgs.14791 PubMed PMID: 28272750. [DOI] [PubMed] [Google Scholar]
  • 70.Chen C-K, Wu Y-T, Chang Y-C. Association between chronic periodontitis and the risk of Alzheimer's disease: a retrospective, population-based, matched-cohort study. Alzheimer's research & therapy. 2017;9:56. doi: 10.1186/s13195-017-0282-6. 10.1186/s13195-017-0282-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Pritchard AB, Crean S, Olsen I, Singhrao SK. Periodontitis, Microbiomes and their Role in Alzheimer's Disease. Frontiers in aging neuroscience. 2017;9:336. doi: 10.3389/fnagi.2017.00336. 10.3389/fnagi.2017.00336 PubMed PMID: 29114218, PMCID 5660720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Kishimoto H, Ohara T, Hata J, et al. The long-term association between physical activity and risk of dementia in the community: the Hisayama Study. European journal of epidemiology. 2016;31:267–274. doi: 10.1007/s10654-016-0125-y. 10.1007/s10654-016-0125-y PubMed PMID: 26857126. [DOI] [PubMed] [Google Scholar]
  • 73.Broadhouse KM, Singh MF, Suo C, et al. Hippocampal plasticity underpins long-term cognitive gains from resistance exercise in MCI. NeuroImage. Clinical. 2020;25:102182. doi: 10.1016/j.nicl.2020.102182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Bisbe M, Fuente-Vidal A, López E, et al. Comparative Cognitive Effects of Choreographed Exercise and Multimodal Physical Therapy in Older Adults with Amnestic Mild Cognitive Impairment: Randomized Clinical Trial. Journal of Alzheimer's disease: JAD. 2020;73:769–783. doi: 10.3233/JAD-190552. 10.3233/JAD-190552 PubMed PMID: 31868666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Guadagni V, Drogos LL, Tyndall AV, et al. Aerobic exercise improves cognition and cerebrovascular regulation in older adults. Neurology. 2020;94:e2245–e2257. doi: 10.1212/WNL.0000000000009478. 10.1212/WNL.0000000000009478 PubMed PMID: 32404355, PMCID 7357295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Firth J, Stubbs B, Vancampfort D, et al. Effect of aerobic exercise on hippocampal volume in humans: A systematic review and meta-analysis. Neuroimage. 2018;166:230–238. doi: 10.1016/j.neuroimage.2017.11.007. 10.1016/j.neuroimage.2017.11.007 PubMed PMID: 29113943. [DOI] [PubMed] [Google Scholar]
  • 77.Thomas BP, Tarumi T, Sheng M, et al. Brain Perfusion Change in Patients with Mild Cognitive Impairment After 12 Months of Aerobic Exercise Training. Journal of Alzheimer's disease: JAD. 2020;75:617–631. doi: 10.3233/JAD-190977. 10.3233/JAD-190977 PubMed PMID: 32310162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Sabia S, Dugravot A, Dartigues JF, et al. Physical activity, cognitive decline, and risk of dementia: 28 year follow-up of Whitehall II cohort study. BMJ (Clinical research ed.) 2017;357:j2709. doi: 10.1136/bmj.j2709. 10.1136/bmj.j2709 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Shi L, Chen S-J, Ma M-Y, et al. Sleep disturbances increase the risk of dementia: A systematic review and meta-analysis. Sleep medicine reviews. 2018;40 doi: 10.1016/j.smrv.2017.06.010. [DOI] [PubMed] [Google Scholar]
  • 80.Lutsey PL, Misialek JR, Mosley TH, et al. Sleep characteristics and risk of dementia and Alzheimer's disease: The Atherosclerosis Risk in Communities Study. Alzheimer's & dementia: the journal of the Alzheimer's Association. 2018;14:157–166. doi: 10.1016/j.jalz.2017.06.2269. 10.1016/j.jalz.2017.06.2269 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Westwood AJ, Beiser A, Jain N, et al. Prolonged sleep duration as a marker of early neurodegeneration predicting incident dementia. Neurology. 2017;88:1172–1179. doi: 10.1212/WNL.0000000000003732. 10.1212/WNL.0000000000003732 PubMed PMID: 28228567, PMCID 5373785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Chen J-C, Espeland MA, Brunner RL, et al. Sleep duration, cognitive decline, and dementia risk in older women. Alzheimer's & dementia: the journal of the Alzheimer's Association. 2016;12:21–33. doi: 10.1016/j.jalz.2015.03.004. 10.1016/j.jalz.2015.03.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Xu W, Tan L, Su B-J, et al. Sleep characteristics and cerebrospinal fluid biomarkers of Alzheimer's disease pathology in cognitively intact older adults: The CABLE study. Alzheimer's & dementia: the journal of the Alzheimer's Association. 2020 doi: 10.1002/alz.12117. [DOI] [PubMed] [Google Scholar]
  • 84.Wang C, Holtzman DM. Bidirectional relationship between sleep and Alzheimer's disease: role of amyloid, tau, and other factors. Neuropsychopharmacology. 2020;45:104–120. doi: 10.1038/s41386-019-0478-5. 10.1038/s41386-019-0478-5 PubMed PMID: 31408876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Zhong G, Wang Y, Zhang Y, Guo JJ, Zhao Y. Smoking is associated with an increased risk of dementia: a meta-analysis of prospective cohort studies with investigation of potential effect modifiers. PloS one. 2015;10:e0118333. doi: 10.1371/journal.pone.0118333. 10.1371/journal.pone.0118333 PubMed PMID: 25763939, PMCID 4357455. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Durazzo TC, Mattsson N, Weiner MW. Smoking and increased Alzheimer's disease risk: a review of potential mechanisms. Alzheimer's & dementia: the journal of the Alzheimer's Association. 2014;10:S122–S145. doi: 10.1016/j.jalz.2014.04.009. 10.1016/j.jalz.2014.04.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Choi D, Choi S, Park SM. Effect of smoking cessation on the risk of dementia: a longitudinal study. Ann Clin Transl Neurol. 2018;5:1192–1199. doi: 10.1002/acn3.633. 10.1002/acn3.633 PubMed PMID: 30349854, PMCID 6186929. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Langballe EM, Ask H, Holmen J, et al. Alcohol consumption and risk of dementia up to 27 years later in a large, population-based sample: the HUNT study, Norway. European journal of epidemiology. 2015;30:1049–1056. doi: 10.1007/s10654-015-0029-2. 10.1007/s10654-015-0029-2 PubMed PMID: 25968174, PMCID 4584101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Xu W, Wang H, Wan Y, et al. Alcohol consumption and dementia risk: a dose-response meta-analysis of prospective studies. European journal of epidemiology. 2017;32:31–42. doi: 10.1007/s10654-017-0225-3. 10.1007/s10654-017-0225-3 PubMed PMID: 28097521. [DOI] [PubMed] [Google Scholar]
  • 90.Handing EP, Andel R, Kadlecova P, Gatz M, Pedersen NL. Midlife Alcohol Consumption and Risk of Dementia Over 43 Years of Follow-Up: A Population-Based Study From the Swedish Twin Registry. The journals of gerontology. Series A, Biological sciences and medical sciences. 2015;70:1248–1254. doi: 10.1093/gerona/glv038. 10.1093/gerona/glv038 PubMed PMID: 25881581. [DOI] [PubMed] [Google Scholar]
  • 91.Sharma A, Brenner M, Wang P. Potential Role of Extracellular CIRP in Alcohol-Induced Alzheimer's Disease. Molecular neurobiology. 2020;57:5000–5010. doi: 10.1007/s12035-020-02075-1. 10.1007/s12035-020-02075-1 PubMed PMID: 32827106, PMCID 7544648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Fukuda T, Ohnuma T, Obara K, et al. Supplementation with Matured Hop Bitter Acids Improves Cognitive Performance and Mood State in Healthy Older Adults with Subjective Cognitive Decline. Journal of Alzheimer's disease: JAD. 2020 doi: 10.3233/JAD-200229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Reale M, Costantini E, Jagarlapoodi S, et al. Relationship of Wine Consumption with Alzheimer's Disease. Nutrients. 2020;12 doi: 10.3390/nu12010206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Andrews SJ, Goate A, Anstey KJ. Association between alcohol consumption and Alzheimer's disease: A Mendelian randomization study. Alzheimer's & dementia: the journal of the Alzheimer's Association. 2020;16:345–353. doi: 10.1016/j.jalz.2019.09.086. 10.1016/j.jalz.2019.09.086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Wu L, Sun D, He Y. Coffee intake and the incident risk of cognitive disorders: A dose-response meta-analysis of nine prospective cohort studies. Clinical nutrition (Edinburgh, Scotland) 2017;36:730–736. doi: 10.1016/j.clnu.2016.05.015. 10.1016/j.clnu.2016.05.015 [DOI] [PubMed] [Google Scholar]
  • 96.Sugiyama K, Tomata Y, Kaiho Y, et al. Association between Coffee Consumption and Incident Risk of Disabling Dementia in Elderly Japanese: The Ohsaki Cohort 2006 Study. Journal of Alzheimer's disease: JAD. 2016;50:491–500. doi: 10.3233/JAD-150693. 10.3233/JAD-150693 PubMed PMID: 26682686. [DOI] [PubMed] [Google Scholar]
  • 97.Xu H, Wang Y, Yuan Y, et al. Gender differences in the protective effects of green tea against amnestic mild cognitive impairment in the elderly Han population. Neuropsychiatric disease and treatment. 2018;14:1795–1801. doi: 10.2147/NDT.S165618. 10.2147/NDT.S165618 PubMed PMID: 30022828, PMCID 6044798. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Ma Y-H, Wu J-H, Xu W, et al. Associations of Green Tea Consumption and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease Pathology in Cognitively Intact Older Adults: The CABLE Study. Journal of Alzheimer's disease: JAD. 2020;77:411–421. doi: 10.3233/JAD-200410. 10.3233/JAD-200410 PubMed PMID: 32804140. [DOI] [PubMed] [Google Scholar]
  • 99.Mancini E, Beglinger C, Drewe J, et al. Green tea effects on cognition, mood and human brain function: A systematic review. Phytomedicine: international journal of phytotherapy and phytopharmacology. 2017;34:26–37. doi: 10.1016/j.phymed.2017.07.008. 10.1016/j.phymed.2017.07.008 [DOI] [PubMed] [Google Scholar]
  • 100.Polito CA, Cai ZY, Shi YL, et al. Association of Tea Consumption with Risk of Alzheimer's Disease and Anti-Beta-Amyloid Effects of Tea. Nutrients. 2018;10 doi: 10.3390/nu10050655. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Morris MC, Tangney CC, Wang Y, et al. MIND diet associated with reduced incidence of Alzheimer's disease. Alzheimer's & dementia: the journal of the Alzheimer's Association. 2015;11:1007–1014. doi: 10.1016/j.jalz.2014.11.009. 10.1016/j.jalz.2014.11.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Chen X, Maguire B, Brodaty H, O'Leary F. Dietary Patterns and Cognitive Health in Older Adults: A Systematic Review. Journal of Alzheimer's disease: JAD. 2019;67:583–619. doi: 10.3233/JAD-180468. 10.3233/JAD-180468 PubMed PMID: 30689586. [DOI] [PubMed] [Google Scholar]
  • 103.Samieri C, Rajendra Sonawane A, Lefèvre-Arbogast S, et al. Using network science tools to identify novel diet patterns in prodromal dementia. Neurology. 2020 doi: 10.1212/WNL.0000000000009399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Nagpal R, Neth BJ, Wang S, et al. Gut mycobiome and its interaction with diet, gut bacteria and alzheimer's disease markers in subjects with mild cognitive impairment: A pilot study. EBioMedicine. 2020;59:102950. doi: 10.1016/j.ebiom.2020.102950. 10.1016/j.ebiom.2020.102950 PubMed PMID: 32861197, PMCID 7475073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Gentreau M, Chuy V, Féart C, et al. Refined carbohydrate-rich diet is associated with long-term risk of dementia and Alzheimer's disease in apolipoprotein E ε4 allele carriers. Alzheimer's & dementia: the journal of the Alzheimer's Association. 2020 doi: 10.1002/alz.12114. [DOI] [PubMed] [Google Scholar]
  • 106.Zhang Y, Chen J, Qiu J, et al. Intakes of fish and polyunsaturated fatty acids and mild-to-severe cognitive impairment risks: a dose-response meta-analysis of 21 cohort studies. The American journal of clinical nutrition. 2016;103:330–340. doi: 10.3945/ajcn.115.124081. 10.3945/ajcn.115.124081 PubMed PMID: 26718417. [DOI] [PubMed] [Google Scholar]
  • 107.Morris MC, Brockman J, Schneider JA, et al. Association of Seafood Consumption, Brain Mercury Level, and APOE epsilon4 Status With Brain Neuropathology in Older Adults. Jama. 2016;315:489–497. doi: 10.1001/jama.2015.19451. 10.1001/jama.2015.19451 PubMed PMID: 26836731, PMCID 5460535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Littlejohns TJ, Henley WE, Lang IA, et al. Vitamin D and the risk of dementia and Alzheimer disease. Neurology. 2014;83:920–928. doi: 10.1212/WNL.0000000000000755. 10.1212/WNL.0000000000000755 PubMed PMID: 25098535, PMCID 4153851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Qin B, Xun P, Jacobs DR, et al. Intake of niacin, folate, vitamin B-6, and vitamin B-12 through young adulthood and cognitive function in midlife: the Coronary Artery Risk Development in Young Adults (CARDIA) study. The American journal of clinical nutrition. 2017;106:1032–1040. doi: 10.3945/ajcn.117.157834. 10.3945/ajcn.117.157834 PubMed PMID: 28768650, PMCID 5611785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Noguchi-Shinohara M, Abe C, Yuki-Nozaki S, et al. Higher Blood Vitamin C Levels are Associated with Reduction of Apolipoprotein E E4-related Risks of Cognitive Decline in Women: The Nakajima Study. Journal of Alzheimer's disease: JAD. 2018;63:1289–1297. doi: 10.3233/JAD-170971. 10.3233/JAD-170971 PubMed PMID: 29758939. [DOI] [PubMed] [Google Scholar]
  • 111.Holland TM, Agarwal P, Wang Y, et al. Dietary flavonols and risk of Alzheimer dementia. Neurology. 2020 doi: 10.1212/WNL.0000000000008981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Zhang C, Wang Y, Wang D, Zhang J, Zhang F. NSAID Exposure and Risk of Alzheimer's Disease: An Updated Meta-Analysis From Cohort Studies. Frontiers in aging neuroscience. 2018;10:83. doi: 10.3389/fnagi.2018.00083. 10.3389/fnagi.2018.00083 PubMed PMID: 29643804, PMCID 5882872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Ryan J, Storey E, Murray AM, et al. Randomized placebo-controlled trial of the effects of aspirin on dementia and cognitive decline. Neurology. 2020 doi: 10.1212/WNL.0000000000009277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Veronese N, Stubbs B, Maggi S, et al. Low-Dose Aspirin Use and Cognitive Function in Older Age: A Systematic Review and Meta-analysis. Journal of the American Geriatrics Society. 2017;65:1763–1768. doi: 10.1111/jgs.14883. 10.1111/jgs.14883 PubMed PMID: 28425093, PMCID 6810633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Gray SL, Anderson ML, Dublin S, et al. Cumulative use of strong anticholinergics and incident dementia: a prospective cohort study. JAMA Intern Med. 2015;175:401–407. doi: 10.1001/jamainternmed.2014.7663. 10.1001/jamainternmed.2014.7663 PubMed PMID: 25621434, PMCID 4358759. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Calderón-Garcidueñas L, González-Maciel A, Reynoso-Robles R, et al. Quadruple abnormal protein aggregates in brainstem pathology and exogenous metal-rich magnetic nanoparticles. The substantia nigrae is a very early target in young urbanites and the gastrointestinal tract likely a key brainstem portal. Environ Res. 2020:110139. doi: 10.1016/j.envres.2020.110139. [DOI] [PubMed] [Google Scholar]
  • 117.Oudin A, Forsberg B, Adolfsson AN, et al. Traffic-Related Air Pollution and Dementia Incidence in Northern Sweden: A Longitudinal Study. Environmental health perspectives. 2016;124:306–312. doi: 10.1289/ehp.1408322. 10.1289/ehp.1408322 PubMed PMID: 26305859. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Younan D, Wang X, Casanova R, et al. PM(2.5) associated with gray matter atrophy reflecting increased Alzheimers risk in older women. Neurology. 2020 doi: 10.1212/WNL.0000000000011149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Cacciottolo M, Wang X, Driscoll I, et al. Particulate air pollutants, APOE alleles and their contributions to cognitive impairment in older women and to amyloidogenesis in experimental models. Translational psychiatry. 2017;7:e1022. doi: 10.1038/tp.2016.280. 10.1038/tp.2016.280 PubMed PMID: 28140404, PMCID 5299391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Grande G, Ljungman PLS, Eneroth K, Bellander T, Rizzuto D. Association Between Cardiovascular Disease and Long-term Exposure to Air Pollution With the Risk of Dementia. JAMA neurology. 2020 doi: 10.1001/jamaneurol.2019.4914. [DOI] [PMC free article] [PubMed] [Google Scholar]

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