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. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: Neuroepidemiology. 2015 Oct 27;45(4):237–254. doi: 10.1159/000439568

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