Table 1.
Cross-sectional and longitudinal epidemiological studies of early life risk factors and Alzheimer’s Disease
Marker | Ref. | Sampling Method | Study Design | Strengths | Co-variates | Outcome Measure for AD Diagnosis |
Results from fully adjusted model (95% CI) |
Key Limitations |
---|---|---|---|---|---|---|---|---|
Genetics | ||||||||
Cross-Sectional | ||||||||
White matter myelin water fraction and gray matter volume |
9 | Community- based |
Cross-sectional | APO-E4 carrier and non-carrier groups matched for age, gestational duration, birth weight, sex ratio, maternal age, education, and socioeconomic status. |
Age, gestational duration, birth weight, maternal age and SES |
Positive APOE4 genotype |
Infants carrying APOE4 had lower white matter myelin water fraction and gray matter volume than noncarriers (p<0.05) |
Unclear whether these metrics are also lower in APOE4 carriers after infancy (perhaps a temporary effect only) |
Standardized achievement tests and R-O complex figure administered to children |
16 | Community- based |
Retrospective cohort |
Analyzed effects of APOE4 status on cognition in children |
Age | Positive APOE4 genotype and positive family history of AD |
Children with both an APOE4 allele and +FH scored significantly lower on reading (p=0.032), language (p=0.044), and the R-O complex figure test (p=0.015) |
Small sample size (n=109) |
The SORL1 gene and convergent neural risk for Alzheimer’s disease across the human lifespan. |
10 | Community- based |
Cross-sectional | Analyzed white matter microstructure |
Age, APOE4 status, sex |
SORL1 SNP rs689021 |
Lower frontotemporal white matter fractional anisotropy in carriers of the SORL1 SNP (p=0.008) |
Only one metric of white matter integrity used |
Thickness of left entorhinal cortex in adolescence |
13 | Community- based |
Cross-sectional | Use of specific cortical region for thickness measurements |
Age, sex, race | Positive APOE4 genotype |
APOE4 carriers had thicker left entorhinal cortex (3.79 mm) than non-carriers (3.94 mm) (p=0.03) |
High SES of participants could bias results |
Right hippocampal volume |
14 | Clinic-based | Cross-sectional | Use of extensive testing to rule out AD symptoms |
Age, sex, education |
Positive APOE4 genotype |
APOE4 carriers had smaller right hippocampi (P=0.09) |
Hippocampal volume measured in adulthood |
Mitochondrial activity in posterior cingulate cortex |
15 | Population- based |
Case-control | Use of pathological histology for mitochondrial activity |
Age at death and postmortem interval |
Positive APOE4 genotype |
APOE4 carriers had reduced posterior cingulate mitochondria activity (p=0.009) |
None noted. |
Bilateral hippocampal volume in young adults |
18 | Population- based |
Cross-sectional | Large, population- based sample |
Age, sex, total brain volume |
AD-associated SORL1 SNPs |
Individuals with AD-associated SORL1 SNPs had smaller bilateral hippocampal volumes (p=0.01) |
Relatively homogenous Netherlandish population. |
Learning Disability | ||||||||
Cross-Sectional | ||||||||
Self-report: Family history of learning disability |
27 | Community- based |
Case-control | None | McKhann, Neary and Mesulam criteria including consensus of neurologist and a neuropsychologist. |
16% of PPA (of any type) vs. 6% of behavioral variant, 7% typical AD, 5% controls. |
||
Self-reported personal history of delay in speaking or reading |
11 | Clinic-based | Consecutive clinicopathological series |
Age, gender, handedness, scanner and total intracranial volume |
Consensus diagnostic criteria for PPA supported by imaging. |
25% of logopenic PPA patients vs. 3% of semantic and 3% of non-fluent PPA. |
||
Educational and developmental history from neuropsychological evaluation |
30 | Clinic-based | Restrospective case-control |
First to examine connection between LD and atypical dementia |
Age, gender, handedness, education and symptom duration |
Consensus diagnosis of PPA and AD |
Patients with probable learning disability 13 times more likely to be diagnosed with dementia (OR 13.1 95% CI 1.3–128.4) |
Uncertainty of learning disability presence due to self-report of symptoms |
Longitudinal | ||||||||
Self-report: Family history of learning disability |
29 | Clinic-based | Case-control | Use of pathological criteria for AD and FTLD |
Not discussed. | Autopsy-based diagnoses |
LD prevalence in PPA was about 50% with no difference between PPA from AD and FTLD. |
Small sample size and only estimated prevalence. |
Education & Intellect | ||||||||
Cross-Sectional | ||||||||
Self-assessed school performance (“below” or “above” average) |
23 |
Population based |
Case-control | Large sample size; adjusted for presence of APOE4 |
Age, gender, race, presence of APOE4 |
NINCDS / ADRDA criteria and DSM III and IV criteria |
Participants with “below average” self-assessed school performance were more likely to have AD (OR 4.0; 1.2–14 95% CI) |
|
Longitudinal | ||||||||
Young adult (∼22 years) linguistic ability (idea density and grammatical complexity) |
25 |
Community based |
Longitudinal cohort |
Use of neuropathology to confirm AD pathology Dissociation of idea content and grammar |
Age, education occupation |
AD neuropathology at autopsy |
Nuns with AD had decreased idea density (P<0.001) but not decreased grammatical complexity in early writings (P=0.61) |
Catholic nuns are well-educated and thus may not represent the premorbid mental abilities of the general population |
Idea density in handwritten autobiographies from 19 to 32 years old |
24 | Community- based |
Longitudinal | Use of childhood written accounts (rather than self- report) and autopsy pathology |
Age at death and location of convent (population of nuns) |
Neurofibrillary tangle and senile plaque count in frontal, temporal, and parietal lobes |
Greater idea density in childhood writing inversely correlated with neurofibrillary tangle and senile plaque count at autopsy (∼-0.5 for tangles and ∼-0.3 for plaques) (p<0.0001 for tangles and p<0.001 for plaques) |
Only used text analysis for idea density and not for other linguistic or writing measures |
SES | ||||||||
Cross-Sectional | ||||||||
Self-reported childhood rural residence |
32 | Community- based |
Case-Control | Randomized sample | Age, gender, education |
NINCDS-ADRDA criteria |
OR 6.5 (2.6 to 16.7) for low education/rural residence vs. high education/urban residence |
Not adjusted for major medical comorbidities (as would be expected in rural and urban populations). Cutoff for “low education” (grade 6 or lower) may be problematic as effect of education was only seen in rural residents. |
Informant reported mother’s age at subject’s birth, birth order, sibship size, and area of residence before the age of 18 years |
34 | Community- based |
case-control | Stratified by presence of APOE4 Significant linear trend for number of siblings |
Age, gender, education, APOE |
NINCDS/ADRDA or Definite AD by neuropathologic criteria |
OR 1.4 (1.0 to 2.0) for sibship size of five or more; OR 0.5 (0.3 to 0.8) for suburban childhood residence |
Proxies used for both case and control interviews, potentially producing misclassification of information. Greater response rate from cases. |
Father’s occupation, parents’ age, household size, birth order, sibship size, and home ownership |
33 | Community- based |
Case control | Stratified by presence of APOE4. Use of objective data (census and birth certificates) rather than interviews. |
Age, gender, education, APOE |
NINCDS / ADRDA criteria. |
OR 1.8 (1.2 to 2.7). Strong interaction with APOE4. |
Use of father’s occupation as a surrogate for quality of early home environment is limited (analysis did not include maternal occupation, area of residence, etc). |
Longitudinal | ||||||||
Self-reported parental highest years of schooling, paternal occupational prestige, family financial status and cognitive milieu |
35 | Population- based |
Longitudinal Cohort | Longitudinal 5 year follow-up time |
Age, gender, race, education |
Symbol Digit Modalities Test, East Boston Story, MMSE |
No association with cognitive change over time (beta −0.005, p<0.10) |
Self-reported recall of childhood cognitive milieu Even though the follow-up was five years, perhaps a longer period is necessary to show significant decline |
Self-reported parental education, occupational prestige, sibship size |
36 | Community- based |
Longitudinal clinic- pathologic |
Age, gender, education, county-level SES |
NINCDS / ADRDA criteria. |
No association: RR 1.1 (0.9 to 1.4) for higher household SES composite score. |
||
Paternal occupation, number of public rooms in childhood home, and number of people in home per sanitation facility |
37 |
Community based |
Cross-sectional and longitudinal |
Analysis of HPC using volumetric MRI |
Mental ability at 11 years old adult SES gender education |
Hippocampal volume from MRI |
Low childhood SES is associated with lower adult hippocampal volume (p=0.032) |
Individuals with higher mental ability at 11 years selectively participated possibly leading to a systematic bias |
Reading level and early SES |
38 |
Community based |
Prospective cohort |
Adjusted for APOE4 status Use of resilience metric, rather than AD clinical or pathological criteria only |
Age, gender education |
AD pathology at autopsy Cognitive testing for memory Disparity between metrics = “resilience” |
Adult reading level associated with greater resilience (p<0.0001) and accounts for effects of early life SES |
Study population (Caucasian volunteers agreeing to post-mortem examination) may not represent entire aging population |
Body Growth | ||||||||
Cross-sectional | ||||||||
Arm and leg length |
41 | Populatio n-based, |
Case-control | Collected culturally relevant measures of early life environment; MMSE & KDRS scores from t-2 years for 64% of current sample (paired assessment). Observed sex differences in APO-E4 effect: Intrasex group risk difference (inc risk of dementia w e4) for men; intra-sex group risk difference was the opposite for women with e4 providing a protecting factor. Inclusive sampling source; cases and controls screened prior to inclusion. |
Age, gender, education, menarche, menopause |
NINCDS-ADRDA criteria, using two independent teams |
In women only: OR 2.5 (1.6 to 4.0) for 5cm decrease. |
Variable methods for measuring leg length (gold standard?). No assoc of sitting height with dementia. Anthropometric measures were not treated as continuous variables, why? In models adjusted for age, education, female gender, risk of Vas dementia 4x that of men, yet hypertension and diabetes were not associated w risk of dementia in this sample. Report of AD diagnosis: No formal investigation of APO-E4 status, limb length and AD. Reported higher rate of AD than population estimates for East Asia. |
Intracranial area by CT scan |
43 | Clinic- based |
Retrospective case series |
Gender-specific, brain- imaging (MRI/ CT scans) for confirmation of Probable AD. CT scan suitability determined by location of anatomical structures. Brain size correlated positively with age at first symptom. |
Education, height ethnic group |
Self-reported date of onset of symptoms of AD (diagnosed using NINCDS- ADRDA criteria using consensus panel) |
Correlation 0.48, p 0.009 between head size and age of onset |
Use of brain imaging at diagnosis for proxy of pre-morbid brain size; age at first symptom was imputed with no indication of a statistical measure). No accounting for height, weight, or overall volume with respect to brain size. Aside: Wouldn’t bigger brains just produce more plagues and neurofibrillary tangles?? |
Head circumference |
52 | Commun ity-based |
Case-control | sampling from multiple cognitive categories for balancing |
Age, gender, education |
NINCDS-ADRDA criteria |
OR 0.9 (0.3 to 1.9) for HC (treated linearly) |
Statistical manipulation of head circumference and unbalanced weighting of categories, renders findings questionable. `Specific population; Japanese-American. Accuracy of head circumference measurements at birth. Head circumference was not a significant predictor of AD for prevalent AD. Incorrect assumption of head circumference as proxy for cognitive reserve. No adjustment for height or weight. Sub-sample analyses among patients diagnosed with probable AD didn’t attenuate the effect of “THC with CASI score” when adjusted for height. |
Arm length | 42 | Populatio n-based |
cross- sectional |
Population based sample; multi-tier diagnosis of dementia based on cognitive tests and blinded neurological assessments. |
Age, gender, education, smoking, alcohol consumption, pulse pressure, hypertension and diabetes |
NINCDS-ADRDA criteria using consensus between a physician and neurologist; also change in Korean MMSE over three years |
OR 1.2 (1.0 to 1.3) for 1cm decrease in arm length |
None other than weakness of causal or correlative evidence |
Head circumference |
44 | Populatio n-based |
Case-control | Height, weight, education, APOE |
NINCDS-ADRDA criteria |
OR 2.9 (1.4 to 6.1) for women and 2.3 (0.6 to 9.8) for men for lowest quintile |
||
Intracranial volume by CT scan |
54 | Clinic- based |
Clinic-based, case-control |
Use of gold-standard measure of premorbid brain size: total intracranial volume |
Gender | NINCDS-ADRDA criteria with consensus |
No significant differences in intracranial volume |
Why is brain size a proxy for cognitive reserve? While women with AD had smaller head size on average in comparison to female controls, controlling for years of education, decreased that difference. The finding of no association between APO-E4, age, birth year and TIV. Even lowest tertiles of TIV not predictive of AD. |
Intracranial volume by CT scan |
53 | Clinic based |
case-control study |
Matched controls, blinded MRI image analysis, results assessed for inter-tester variability |
Age at scan, gender, familial vs. sporadic AD |
NINCDS-ADRDA criteria |
No significant differences in intracranial volume |
None noted. |
Prenatal sex hormone exposure (measured through 2D:4D length ratio proxy) |
45 | Clinic- based |
Case-control | Gender-specific; determined that high estrogen:testosterone ratios are a risk factor in men but protective in women. Ability to estimate prenatal hormone exposure |
Age and years of education |
NINCDS-ADRDA criteria (consensus diagnosis) |
AD males had higher 2D:4D ratio (high E:T) than controls (p<0.001) AD females had lower 2D:4D ratios (low E:T) than controls (p<0.001) |
Accuracy of 2D:4D ratio as a proxy for prenatal hormone exposure Could not describe effects of estrogen and testosterone individually |
Longitudinal | ||||||||
Height | 47 | Commun ity-based |
Case-control | Longitudinal data on height. |
Age, body mass index, years of childhood lived in Japan, level of education and father’s occupation |
NINCDS-ADRDA criteria using consensus panel (study neurologist and two other dementia experts) |
In men only: Prevalence of AD higher (4.7% vs. 2.9%, p =0.18) in men shorter than 154cm |
Standing height at baseline used as anthropometric measure, with no adjustment for age related changes in height; Japanese heritage vs. multiracial status not addressed. No report on standardization of height for race. |
Head circumference |
55 | Community- based |
Retrospective cohort |
Apoe4 | Age, education, gender |
NINCDS-ADRDA criteria |
Combination of small head circumference and APOE4 positivity predicted earlier onset of AD (p=0.0007) |
|
Head circumference |
56 | Community based |
Prospective Cohort study |
Apoe4; enhanced follow-up for subjects with marked cognitive changes (CASI ≤87) |
Head circumference, height, verbal IQ, income, education, age at growth cessation, household characteristics seated BP, anthropometrics |
APOE 4 Hetero- and homozygosity had a differential effect on AD for men vs women: HRheterozygosity men= 1.9 (95% CI 0.7–5.4) vs HRheterozygositywomen= 4.2 (95% CI 2.1–8.6); HRhomozygositymen = 5.3 (95% CI 0.7–41) vs HRhomozygositywomen = 18.3 (95% CI 2.3–144) |
||
Height | 48 | Community- based, |
Nested case- control |
Blind confirmatory diagnoses of dementia by neurologists + Consensus diagnoses (by a blinded 2nd neurologist) |
Age, gender, education, occupation, and area of birth |
NINCDS-ADRDA criteria |
OR 0.6 (0.4–0.9) for highest quartile vs. lowest quartile |
TICS-m used for initial dementia diagnosis; Healthy volunteer effect (1999 sample overall had lower risks factors) |
BMI and HOMA- IR |
98 | Clinic-based | Prospective cohort | Use of serum-based biomarkers of AD: |
Age, gender, fasting lipid panel, glucose, and WBC |
Aβ-42 and PSEN1 |
RR: 7.1, p-value= 0.002 for Aβ- 42 |
|
Arm length | 49 | Population- based |
Longitudinal (prospective cohort) |
Gold standard assessment tools: MRI, Genetic testing MMSE and 3MSE; Representative cohort (across race and age) |
Age, gender, ethnicity, education, income, self-reported health, APOE4 status |
NINCDS-ADRDA criteria with consensus (one neurologist and one psychiatrist) |
HR 1.7 (1.1–2.6) in women vs. 0.9 (0.8–1.0) in men |
Potential misclassification (non- differential/differential?), Conclusion of lower knee height and arm spans associated with increased risk of dementia troublesome bc: phenomenon seen only among women for knee height and when assessed for lowest quartile of knee height, found not significant. However, arm span was significantly associated with dementia (men and women) and AD (women only) No record of assessment of childhood nutritional deficiencies though! |
Fetal head circumference and adult head circumference |
50 | Community- based |
Prospective case control study |
Comparison of cognitive function at study enrollment and at 3.5 year follow-up |
Age, sex, education, social class at birth, history of cerebrovascular disease, Nottingham Health Profile emotion subscale score, gestational age |
AH4 Intelligence Test, Logical Memory subtest of the Wechsler Memory Scale |
OR for delayed recall 0.3 (0.1 to 0.9) for highest quartile |
Accuracy of childhood head circumference measurements. Categorized adult head circumference and used the lowest quartile as the reference group for effects of the measure on the Logical memory test; once again due to nonstandardization of anthropometric measurements. When comparing furthermore sample size for observed decline in WLM were far to small and unmatched for comparisons. |
Intracranial volume (ICV) and total brain volume (TBV) from MRI |
51 | Clinic-based | Longitudinal cohort | ICV is better predictor of premorbid brain size than head circumference Use of APOE status |
Age, gender, education APOE genotype, CV disease presence |
NINCDS-ADRDA criteria for AD MMSE, ADAS- cog, and CDR scores for longitudinal follow-up |
Atrophy and APOE4 allele had reduced impact on cognitive and clinical decline in MCI with larger ICV (p<0.05) |
ICV measurements taken after diagnosis (not in childhood or mid- adulthood) ICV is an imperfect approximation of premorbid brain size |
Childhood Adversity | ||||||||
Longitudinal | ||||||||
Early parental death and remarriage of widowed parents |
58 |
Population based |
Prospective cohort |
Use of consensus AD diagnosis Large, population based sample |
Age, gender and education |
NINCDS-ADRDA criteria; consensus diagnosis |
Maternal death from age 11 17 associated with 2x risk of AD |
Adjustment for later SES from parental death was difficult due to missing data |