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Abstract

Introduction: We examined the extent to which attention-deficit/hyperactivity disorder (ADHD), a neurodevelopmental disorder, is linked with Alzheimer's disease (AD) and any dementia, neurodegenerative diseases, across generations. Methods: A nationwide cohort born between 1980 and 2001 (index persons) were linked to their biological relatives (parents, grandparents, uncles/aunts) using Swedish national registers. We used Cox models to examine the cross-generation associations. Results: Among relatives of 2,132,929 index persons, 3042 parents, 171,732 grandparents, and 1369 uncles/aunts had a diagnosis of AD. Parents of individuals with ADHD had an increased risk of AD (hazard ratio 1.55, 95% confidence interval 1.26-1.89). The associations attenuated but remained elevated in grandparents and uncles/aunts. The association for early-onset AD was stronger than late-onset AD. Similar results were observed for any dementia. Discussion: ADHD is associated with AD and any dementia across generations. The associations attenuated with decreasing genetic relatedness, suggesting shared familial risk between ADHD and AD.
Received: 3 November 2020 Revised: 1 February 2021 Accepted: 30 July 2021
DOI: 10.1002/alz.12462
FEATURED ARTICLE
Attention-deficit/hyperactivity disorder and Alzheimer’s
disease and any dementia: A multi-generation cohort study in
Sweden
Le Zhang1Ebba Du Rietz1Ralf Kuja-Halkola1Maja Dobrosavljevic2
Kristina Johnell1Nancy L. Pedersen1Henrik Larsson1,2Zheng Chang1
1Department of Medical Epidemiology and
Biostatistics, Karolinska Institutet, Stockholm,
Sweden
2School of Medical Sciences, Örebro
University, Örebro, Sweden
Correspondence
Le Zhang and Zheng Chang, Department
of Medical Epidemiology and Biostatistics,
Karolinska Institutet, Nobels väg 12A, 171 65
Stockholm, Sweden.
E-mail: le.zhang@ki.se;zheng.chang@ki.se
Funding information
Swedish Council for Health, Working Life and
Welfare, Grant/AwardNumbers: 2019-00176,
2019-01172; Swedish Research Council,
Grant/AwardNumber: 2018-02599; Swedish
Brain Foundation,Grant/Award Number:
FO2018-0273; European Union’s Horizon
2020 research and innovation programme
under the 274 Marie Skłodowska-Curie,
Grant/AwardNumber: 1754285; Fredrik &
Ingrid Thurings Stiftelse; Karolinska Institutet
Research Foundation
Abstract
Introduction: We examined the extent to which attention-deficit/hyperactivity disor-
der (ADHD), a neurodevelopmental disorder, is linked with Alzheimer’s disease (AD)
and any dementia, neurodegenerative diseases, across generations.
Methods: A nationwide cohort born between 1980 and 2001 (index persons) were
linked to their biological relatives (parents, grandparents, uncles/aunts) using Swedish
national registers. We used Cox models to examine the cross-generation associations.
Results: Among relatives of 2,132,929 index persons, 3042 parents, 171,732 grand-
parents, and 1369 uncles/aunts had a diagnosis of AD. Parents of individuals with
ADHD had an increased risk of AD (hazard ratio 1.55, 95% confidence interval
1.26–1.89). The associations attenuated but remained elevated in grandparents and
uncles/aunts. The association for early-onset AD was stronger than late-onset AD. Sim-
ilar results were observed for any dementia.
Discussion: ADHD is associated with AD and any dementia across generations. The
associations attenuated with decreasing genetic relatedness, suggesting shared famil-
ial risk between ADHD and AD.
KEYWORDS
Alzheimer’s disease, dementia, epidemiology, family design, neurodevelopmental disorder
1INTRODUCTION
Attention-deficit/hyperactivity disorder (ADHD) is a common neu-
rodevelopmental disorder, characterized by impairing levels of poor
sustained attention, impaired impulse control, and hyperactivity.1
Follow-up studies have shown that the disorder often persists into
adulthood, affecting 3% of adults worldwide.2,3 Alzheimer’s disease
(AD) is a neurodegenerative disease characterized by aging-related
progressive deterioration in cognition and ability for independent liv-
ing, and it is the most common subtype of dementia. A meta-analytic
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any
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© 2021 The Authors. Alzheimer’s & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer’s Association
study estimated that the age-standardized prevalence of dementia in
those aged 60 and above ranged from 5% to 7% worldwide.4With the
life expectancy of individuals getting longer, dementia represents an
increasing public health concern.5
Very few studies, with limited sample size, have explored the
association between ADHD and AD, and conflicting results exist.6–8
An ecologic study using state-level hospitalization discharge data
from the United States found that antecedent ADHD significantly
predicted AD with incidence rate increased 15%.6On the other hand,
a case-control study interviewing individuals from a medical insurance
Alzheimer’s Dement. 2021;1–9. wileyonlinelibrary.com/journal/alz 1
2ZHANG ET AL.
group in Buenos Aires, Argentina, suggested that prior ADHD was not
associated with AD (non-significant increased odds 10%).7Similar non-
significant results were found in a retrospective matched-cohort study
using Taiwan’s Health Insurance Research Database.8So far, there are
no large-scale longitudinal studies that have explored the potential
association, as such a study would require very long follow-up from
diagnoses of ADHD, which was not commonly diagnosed until recent
decades,9to diagnoses of AD in older age. Even though the magnitude
of the association between these two conditions remains unclear, a few
potential mechanisms may explain an observed association.10 First,
ADHD could increase the risk of late-life dementia through adverse
health outcomes of ADHD. A review of meta-analyses identified seven
modifiable risk factors associated with dementia, including diabetes
mellitus, midlife hypertension, physical inactivity, depression, smoking,
and low educational attainment;11 each of these risk factors has
been shown to be a consequence of ADHD.12,13 Second, adult ADHD
may mimic cognitive symptoms of AD (including loss of memory and
inattention) as studies have suggested that ADHD is not adequately
and accurately identified in clinics in the context of late-life cognitive
disorders.14,15 Third, ADHD and AD may share genetic risk, as both
ADHD and AD are highly heritable and complex disorders. So far, the
largest genome-wide association studies (GWAS) have failed to detect
any genetic overlap between ADHD and AD,16,17 yet the result is
inconclusive as the genetic variants discovered so far only explained a
relatively small proportion of the heritability.
As ADHD has only been commonly diagnosed in recent decades
and follow-up data of diagnosed individuals into later life is limited, we
performed a longitudinal multi-generation study to explore the cross-
generation (i.e., parents, grandparents, and uncles/aunts) familial co-
aggregation of ADHD with AD and any dementia, using data from the
linkage of Swedish national registers.
2METHODS
2.1 Data sources
We used data from the linkage of several Swedish nationwide regis-
ters through unique personal identification numbers.18 (1) The Med-
ical Birth Register contains information on all births in Sweden since
1973 and pregnancy related factors;19 (2) the Swedish Total Population
Register covers demographic information on all Swedish inhabitants
since 1968;20 (3) the Multi-generation Register contains information
on biological and adoptive relationships on individuals living in Sweden
since 1961;21 (4) the National Patient Register (NPR) contains data on
inpatient diagnoses since 197322 and outpatient diagnoses since 2001
based on the International Classification of Diseases (ICD) in its sev-
enth (ICD-7; before 1969), eighth (ICD-8; 1969–1986), ninth (ICD-9;
1987–1996), and tenth (ICD-10; since 1997) revisions; (5) the Cause
of Death Register (CDR) contains information on all deaths since 1952
(complete coverage since 1961) based on ICD codes, including under-
lying and contributing causes of death;23 (6) the Prescribed Drug Reg-
ister contains information on all prescribed medications dispensed at
pharmacies in Sweden since July 2005, with drug identity defined using
HIGHLIGHTS
This study suggests that attention-deficit hyperactivity
disorder (ADHD) is associated with Alzheimer’s disease
(AD) and any dementia across generations.
The associations attenuated with decreasing genetic relat-
edness (parents >grandparents and uncles/aunts), sug-
gesting shared familial risk between ADHD and AD.
The increased familial risk for early-onset AD, associated
with ADHD, was higher than that for late-onset AD.
RESEARCH IN CONTEXT
1. Systematic review: The authors searched titles and
abstracts indexed on PubMed. Only a few studies
with limited sample size have investigated the asso-
ciation between attention-deficit/hyperactivity disorder
(ADHD) and Alzheimer’s disease (AD). Findings of avail-
able studies are inconsistent.
2. Interpretation: In a large population-based study, we
found that ADHD is associated with AD and any demen-
tia across generations. The associations attenuated with
decreasing genetic relatedness (parents >grandpar-
ents and uncles/aunts), suggesting shared familial risk
between ADHD and AD. The increased familial risk for
early-onset AD, associated with ADHD, was higher than
that for late-onset AD.
3. Future directions: Research on underlying risk factors
contributing to both ADHD and AD are warranted,
including molecular genetic and family studies aiming
to identify attributing pleiotropic genetic variants and
family-wide environmental risk factors. Our study calls
attention to advancing the understanding of ADHD and
cognitive decline in older age, and, if verified, warrants
investigation of treatment of ADHD to prevent or delay
the development of neurodegenerative diseases in indi-
viduals with ADHD and their family members.
Anatomical Therapeutic Chemical (ATC) codes;24 and (7) the Migration
Register records all migration in and out of Sweden.
2.2 Study population
We identified all individuals born in Sweden between 1980 and 2001.
We excluded stillbirths, individuals missing key demographic informa-
tion, and individuals who died or migrated before their 12th birth-
day, by linking to the Total Population Register, Medical Birth Register,
Migration Register, and CDR, respectively. Each individual (referred
ZHANG ET AL.3
TAB L E 1 Descriptive characteristics of the three relative cohorts
Type of individuals Variables Overall Female Male
Index persons No. of index persons 2,132,929 1,037,385 1,095,544
Age, median (IQR)a23 (18–28) 23 (18–28) 23 (18–28)
ADHD, no. (%) 68,379 (3.21) 24,226 (2.34) 44,153 (4.03)
Onset age of ADHD, median (IQR) 16 (12–20) 18 (14–22) 15 (11–19)
Parents No. of parents 2,293,961 1,146,865 1,147,096
Age, median (IQR)a53 (47–59) 51 (46–58) 54 (48–61)
Alzheimer’s disease, no. (%) 3042 (0.13) 980 (0.09) 2062 (0.18)
Any dementia, no. (%) 3792 (0.17) 1114 (0.10) 2678 (0.23)
Onset age of Alzheimer’s disease, median (IQR)b61 (56–67) 57 (53–62) 63 (57–70)
Onset age of any dementia, median (IQR)b59 (54–65) 56 (52–60) 61 (56–67)
Grandparents No. of grandparents 2,518,669 1,275,202 1,243,467
Age, median (IQR)a82 (72–91) 80 (71–90) 83 (73–93)
Alzheimer’s disease, no. (%) 171,732 (6.82) 99,454 (7.80) 72,278 (5.81)
Any dementia, no. (%) 197,843 (7.86) 111,584 (8.75) 86,259 (6.94)
Onset age of Alzheimer’s disease, median (IQR)b78 (73–83) 79 (74–83) 78 (73–82)
Onset age of any dementia, median (IQR)b77 (71–81) 77 (72–82) 76 (70–80)
Uncles/aunts No. of uncles/aunts 933,263 475,793 457,470
Age, median (IQR)a53 (47–60) 53 (47–60) 53 (47–60)
Alzheimer’s disease, no. (%) 1369 (0.15) 743 (0.16) 626 (0.14)
Any dementia, no. (%) 1697 (0.18) 852 (0.18) 845 (0.18)
Onset age of Alzheimer’s disease, median (IQR)b62 (57–67) 62 (56–66) 62 (57–67)
Onset age of any dementia, median (IQR)b60 (55–65) 60 (55–64) 60 (55–65)
Abbreviations: AD, Alzheimer’s disease; ADHD, attention-deficit/hyperactivity disorder; IQR, interquartile range.
aThe age of individuals by the end of study.
bTime of disease onset was estimated as 3 years before the first diagnosis, or 5 years before death (primary and contributing causes), whichever came first.
to as index persons) was linked to their biological relatives—parents,
grandparents, uncles and aunts—through the Medical Birth Register
and Multi-generation Register. All relatives were followed from the
date they turned 50 years of age to onset of dementia, date of first
migration, date of death, or December 31, 2013 (end of study follow-
up), whichever came first. Thus, we generatedthree cohorts of relatives
representing different levels of genetic relatedness: parents who share
50% of their segregating genes with index persons; grandparents who
share 25% of their segregating genes with index persons; uncles and
aunts who share 25% of their segregating genes with index persons. To
ensure the comparability between parents and uncles/aunts cohorts,
for each index person we included one uncle/aunt who had at least one
child and whose birth date was nearest to that of parents of index per-
sons.
2.3 Identification of ADHD
We used information from the NPR to identify ADHD diagnoses among
index persons. In sensitivity analyses, we additionally used information
on prescriptions of ADHD medication from the Prescribed Drug Regis-
ter for case identification (ICD and ATC codes in Table S1 in supporting
information). Our approach of using ADHD medication for case identi-
fication is consistent with prior research.25,26
2.4 Identification of AD and any dementia
We used validated diagnoses from the NPR and CDR to iden-
tify dementia cases among relatives of index persons, including
two definitions: AD and any dementia (including AD).27,28 In line
with previous studies, time of disease onset was estimated as
three years before the first diagnosis (ascertained in the NPR) or
5 years before death (ascertained in the CDR), whichever came
first.27–29 In sensitivity analyses, we additionally used information
on prescriptions of medications for AD, and the time of disease
onset was estimated as the date of the first relevant prescription
recorded in the Prescribed Drug Register, in keeping with previous
studies.29,30
2.5 Statistical analysis
Cox proportional hazards models were used to examine the associa-
tion between ADHD and dementia (AD or any dementia) in each of the
three relative cohorts (parents, grandparents, and uncles/aunts), with
attained age of relatives as the underlying timescale.31–33 Theriskof
having dementia in relatives of individuals with ADHD was compared
to the risk in relatives of individuals without ADHD, and hazard ratios
4ZHANG ET AL.
FIGURE 1 Flowchart of the inclusion of index persons and their biological relatives
(HRs) were estimated with 95% confidence intervals (CIs). Robust
standard errors were used to account for non-independence of data
due to the repeat of individuals in index person–relative pairs. In
adjusted models, HRs were adjusted for birth year of index persons,
birth year of relatives, sex of index persons, and sex of relatives. The
analyses were further stratified by sex of relatives and sex of index
persons.
To test whether the association is moderated by onset age of demen-
tia, HRs were estimated for early-onset dementia (onset before 65
years) and late-onset dementia (onset after 65 years).34 We fitted a
Cox model allowing the HRs to be different for before and after age
65, corresponding to early- and late-onset dementia, in each relative
cohort.
Sensitivity analyses were performed to examine whether the results
were robust with different case and cohort identifications. First, to
improve the coverage of ADHD and AD, we additionally used prescrip-
tions of ADHD and AD medications to identify individuals with ADHD
or AD. Second, we stratified the estimates by birth year of index per-
sons (1980–1989 and 1990–2001). This was done to assess potential
bias due to differences in register coverage and follow-up time for rel-
atives. Third, we additionally adjusted for ADHD status in the relatives
in each of the three relative cohorts. If the HRs remain significant after
adjustment, the contribution of common familial risk factors to ADHD
and AD would be further supported (see further explanation in Figure
S2 in supporting information).
Data management was performed using SAS version 9.4 (SAS Insti-
tute, Inc.) and all analyses were performed using R version 3.6.1.
3RESULTS
We identified 2,224,189 individuals born between 1980 and 2001
from the Medical Birth Register, and 2,132,929 individuals were iden-
tified as eligible index persons after applying the exclusion criteria (Fig-
ure 1). After linking index persons to their biological relatives, the eli-
gible study cohorts contained 2,293,961 parents, 2,518,669 grand-
parents, and 933,263 uncles/aunts, which created 4,246,182 index
person–parent pairs, 7,548,861 index person–grandparent pairs, and
1,838,520 index person–uncle/aunt pairs. Among the index persons,
68,379 (3.21%) were diagnosed with ADHD (44,153 [4.03%] in men,
24,226 [2.34%] in women, Table 1). The relatives were followed for
a median of 8.0 years in parents, 25.0 years in grandparents, and 8.5
years in uncles/aunts. By the end of follow-up, 3042 (0.13%) of parents,
171,732 (6.82%) of grandparents, and 1369 (0.15%) of uncles/aunts
had a diagnosis of AD. The numbers for any dementia were 3792
(0.17%) for parents, 197,843 (7.86%) for grandparents, and 1697
(0.18%) for uncles/aunts (Table 1).
Parents of index persons with ADHD had an increased risk of
AD compared to the parents of index persons without ADHD (HR
1.55, 95% CI 1.26–1.89; Table 2). The associations attenuated with
decreasing genetic relatedness, that is, the association with AD in
grandparents attenuated (1.11, 1.08–1.13), and the association in
uncles/aunts was similar to grandparents but not statistically signifi-
cant (1.15, 0.85–1.56). A similar pattern was observed for any demen-
tia with an increased risk in parents (1.34, 1.11–1.63) and grandpar-
ents (1.10, 1.08–1.12), and a nonsignificant association in uncles/aunts
ZHANG ET AL.5
TAB L E 2 Association between ADHD and Alzheimer’s disease and any dementia in three relative cohorts
Relaves of index
persons
No. of event
(ADHD 0)
Person-years
(ADHD 0)
No. of event
(ADHD 1)
Person-years
(ADHD 1)
Crude hazard rao Adjusted hazard rao
(95% CI)
(95% CI)
Alzheimer’s disease
Parents 3569 17,398,062 110 365,803 1.51 (1.24–1.85) 1.55 (1.26–1.89)
1.77 (1.23–2.54)1.66 (1.16–2.38)141,129357,175,4751128Mother
Father 2441 4,338,978 75 96,100 1.44 (1.13–1.84) 1.46 (1.15–1.86)
1.11 (1.08–1.13)1.08 (1.06–1.11)4,699,59611,665163,361,512464,503Grandparents
Grandmother 257,621 83,608,787 6323 2,392,283 1.09 (1.06–1.12) 1.12 (1.09–1.16)
1.08 (1.05–1.12)1.08 (1.05–1.11)2,307,313534279,752,726206,882Grandfather
Uncles/aunts 1976 8,811,647 46 194,967 1.12 (0.83–1.51) 1.15 (0.85–1.56)
1.13 (0.75–1.72)1.09 (0.72–1.67)98,867254,472,6691091Aunt
Uncle 885 4,338,978 21 96,100 1.15 (0.75–1.77) 1.18 (0.77–1.82)
Anydemena
Parents 4467 17,384,751 120 365,526 1.31 (1.08–1.59) 1.34 (1.11–1.63)
1.45 (1.00–2.13)1.30 (0.89–1.90)98,830324,469,5971266Mother
Father 3201 4,334,740 88 96,017 1.29 (1.03–1.61) 1.31 (1.05–1.63)
1.10 (1.08–1.12)1.05 (1.03–1.07)4,665,58813,590162,075,129537,135Grandparents
Grandmother 289,315 82,952,329 7114 2,375,513 1.05 (1.03–1.08) 1.11 (1.08–1.14)
1.08 (1.05–1.11)1.05 (1.03–1.08)2,290,075647679,122,800247,820Grandfather
Uncles/aunts 2452 8,804,337 51 194,847 0.98 (0.74–1.30) 1.04 (0.79–1.39)
0.96 (0.63–1.48)0.91 (0.59–1.40)98,830244,469,5971241Aunt
Uncle 1211 4,334,740 27 96,017 1.05 (0.72–1.53) 1.13 (0.77–1.65)
Note: No. of events and person-years are shown for index person–relative pairs (not individuals); adjusted hazard ratios were derived from Cox proportional
models adjusted for birth year of index persons, birth year of relatives, sexof index persons, and sex of relatives.
Abbreviation: ADHD, attention-deficit/hyperactivity disorder; CI, confidence interval.
(1.04, 0.79–1.39). Kaplan-Meier curves of time to AD/any dementia
development for relatives of indexpersons with and without ADHD are
shown in Figure S1 in supporting information.
The estimates stratified by sex of the relatives showed that moth-
ers of index persons with ADHD had higher risks for AD (1.77, 1.23–
2.54) than fathers (1.46, 1.16–1.84), though the difference was not sta-
tistically significant (Table 2). Analysis stratified by sex of index per-
son showed similar estimates in parents for male index persons (1.53,
1.18–1.99) and female index persons (1.55,1.16–2.09; Table S2 in sup-
porting information). When considering age of onset, the risk of hav-
ing early-onset AD in relatives of index persons with ADHD was higher
than the risk of having late-onset AD in relatives of index persons with
ADHD (Table 3). In parents, the association with early-onset AD (1.69,
1.34–2.13) was stronger than the association with late-onset AD (1.20,
0.82–1.77). This was also the case with grandparents, that is, the asso-
ciation with early-onset AD (1.27, 1.19–1.36) was stronger than the
association with late-onset AD (1.09, 1.07–1.11). Similar patterns were
observed in uncles/aunts, and for the associations with any dementia.
Sensitivity analyses further included information on prescribed
medications of ADHD and AD for case identification, increased sta-
tistical power generated robust results, that is, the coaggregation of
ADHD and AD in index person–uncle/aunt pairs became significant
(1.28, 1.02–1.61; Table 4). We observed similar results in the subco-
horts of index persons born between 1980 and 1989 and between
1990 and 2001, although parents in the subgroup of index persons
born between 1990 and 2001 were not significant due to low number
of AD cases. Further, the results adjusting for ADHD status of relatives
were similar to the main analyses across relative types.
4DISCUSSION
To the best of our knowledge, this is the first study to explore the
association of ADHD,a neurodevelopmental disorder, with AD and
any dementia, neurodegenerative diseases, across generations. We
observed that relatives of individuals with ADHD had an increased
risk of developing AD and any dementia compared to relatives of indi-
viduals without ADHD. The associations attenuated with decreasing
genetic relatedness (parents >grandparents and uncles/aunts). The
risk of having early-onset AD associated with ADHD was higher than
that for late-onset AD.
The observed familial coaggregation of ADHD in index persons
and AD in relatives can be explained by several potential mechanisms
or their combination. One mechanism is that the observed familial
6ZHANG ET AL.
TAB L E 3 Association between ADHD and Alzheimer’s disease and any dementia stratified by onset age of dementia
Relaves of index
Age at onsetpersons
No. of event
(ADHD =0)
Person-years
(ADHD =0)
No. of event
(ADHD =1)
Person-years Adjusted hazard rao
(95% CI)
(ADHD =1)
Alzheimer’s disease
Parents Early-onset 2562 16,574,683 85 349,912 1.69 (1.34–2.13)
1.20 (0.82–1.77)15,89225823,3791007Late-onset
Grandparents Early-onset 29,950 92,295,850 1147 2,911,247 1.27 (1.19–1.36)
1.09 (1.07–1.11)1,788,34910,51871,065,662434,553Late-onset
Uncles/aunts Early-onset 1431 8,239,251 34 183,840 1.16 (0.81–1.66)
1.13 (0.65–1.98)11,12712572,396545Late-onset
Anydemena
1.40 (1.13–1.74)349,7339716,565,8473489Early-onsetParents
Late-onset 978 818,904 23 15,793 1.15 (0.77–1.70)
1.35 (1.29–1.42)2,907,230203592,199,74851,855Early-onsetGrandparents
Late-onset 485,280 818,904 11,555 15,793 1.06 (1.04–1.08)
1.09 (0.80–1.48)183,757438,234,3831971Early-onsetUncles/aunts
Late-onset 481 569,953 8 11,090 0.86 (0.44–1.71)
Note: No. of events and person-years are shown for index person–relative pairs (not individuals); adjusted hazard ratios were derived from Cox proportional
models adjusted for birth year of index persons, birth year of relatives, sexof index persons, and sex of relatives.
Abbreviation: ADHD, attention-deficit/hyperactivity disorder; CI, confidence interval.
TAB L E 4 Sensitivity analyses of familial coaggregation between ADHD and Alzheimer’s disease
Analysis Type of relatives No. of pairs No. of events Adjusted hazard ratio (95% CI)
Including medication in addition to diagnosis
and cause of death for case identification
Parents 4,246,182 5951 1.44 (1.21–1.71)
Grandparents 7,548,861 571,025 1.09 (1.07–1.11)
Uncles/aunts 1,838,520 2849 1.28 (1.02–1.61)
Subgroup of index persons born 1980–1989 Parents 1,903,623 4128 1.56 (1.25– 1.96)
Grandparents 3,437,638 318,249 1.08 (1.05–1.11)
Uncles/aunts 842,114 1755 1.10 (0.76–1.58)
Subgroup of index persons born 1990–2001 Parents 2,342,559 982 1.48 (0.96–2.28)
Grandparents 4,111,223 193,608 1.13 (1.10– 1.16)
Uncles/aunts 996,406 360 1.30 (0.78–2.15)
Additionally adjust for ADHD diagnosis in the
relatives of the index person
Parents 4,246,182 4400 1.53 (1.25–1.87)
Grandparents 7,548,861 510,759 1.11 (1.08–1.13)
Uncles/aunts 1,838,520 2115 1.15 (0.85–1.56)
Note: No. of events are shown for index person-relative pairs (not individuals); adjusted hazard ratios were derived from Cox proportional models adjusted
for the birth year of index persons, the birth year of relatives, sex of index persons, and sex of relatives.
Abbreviation: ADHD, attention-deficit/hyperactivity disorder; CI, confidence interval.
coaggregation is attributable to familial risk factors shared by the two
conditions within families, including pleiotropic genetic variants and
family-wide environmental factors affecting both conditions. Although
the largest GWAS studies on ADHD and AD to date have failed to
detect any genetic variant in common,16,17 there have been studies
suggesting that the genes SORCS2 and SORCS3 may be implicated in
both ADHD and AD, with amyloid precursor protein (APP) processing,
neuronal development, and plasticity being altered.35,36 Furthermore,
as common genetic variants only explain a moderate proportion of the
heritability of both disorders,16,37 it is possible that there exist other
ZHANG ET AL.7
genetic factors, including rare genetic variants, contributing to both
traits.38 Apart from pleiotropic genetic factors shared within families,
family-wide environmental risk factors such as familial socioeconomic
status may influence the development of both AD39 and ADHD.40
The shared familial risk factors would not only explain the observed
coaggregation across generations, but also indicate an individual-level
association between ADHD and AD. A graphical representation of the
relationship is explained in Figure S2 (path a).
ADHD in the index persons and AD in their relatives could also be
associated through the mediation of genetic or/and environmental risk
factors of ADHD. It is worth noting that these risk factors may rep-
resent factors unique to ADHD (independent of AD), which in turn
increase the risk of ADHD in both the index persons and their relatives,
and further increase the risk of AD via adverse health outcomes trig-
gered by ADHD (path b in Figure S2). For example, ADHD in both chil-
dren and adults has been shown to be associated with obesity/being
overweight,41 while midlife obesity has been suggested to increase
the risk of dementia later in life.42 This explanation also indicates an
individual-level association of two conditions through adverse health
outcomes of ADHD, and is supported by the results from the US study
using hospitalization discharge data, in which a significant individual-
level association between ADHD and AD was observed in the unad-
justed model, while the association disappeared after adjusting for dia-
betes and obesity.6
A third possible mechanism could be implicated by the direct effect
of ADHD in the relatives on ADHD in the index person, as well as
on their own risk of AD.43 For example, poor parenting style of indi-
viduals with ADHD may influence the behavior of one’s child, which
may explain the observed coaggregation in the parent cohort (path c in
Figure S2). However, the cross-generation associations remained after
adjusting for ADHD status in relatives (Table 4), suggesting that such an
effect, if it exists, is unlikely to be the main explanation of the observed
familial coaggregation. Another possible mechanism is indicated by the
direct effect of ADHD in the index person on the development of AD in
his/her relatives. Although there is no direct evidence for this, previous
studies have shown that parents of a child with ADHD may feel power-
less and experience extensive psychological distress.44 This could pos-
sibly contribute to the association in parents (path d in Figure S2), but
is less likely to explain the association in more distant relatives (i.e.,
grandparents and uncles/aunts).
In addition to the main findings, our study found that the familial
coaggregation of ADHD with early-onset AD was stronger than that
with late-onset AD. This could be due to the differences in the etiology
of early-onset versus late-onset AD, as early-onset AD is more strongly
genetically influenced (heritability estimated around92% to 100%45)
than late-onset AD (heritability estimated around61% to 79%45,46).
Previous research findings have suggested that early-onset AD may
have a stronger load of autosomal dominant and recessive causes,45
while late-onset dementia is more of a polygenetic disease.47 Thus,
there might be different genetic factors involved in the association of
ADHD with early-onset and late-onset dementia, which requires fur-
ther investigation.
Our study highlights the importance of advancing the understand-
ing of ADHD in older adults. With further triangulation with other stud-
ies, ADHD could be considered a potential modifiable risk factor for AD
and dementia. A recent meta-analysis found that a considerable num-
ber of older adults presented ADHD symptoms, and only less than half
of older adults with clinically diagnosed ADHD received treatment.48
Research has shown that ADHD medications are effective in reduc-
ing ADHD symptoms as well as adverse outcomes of ADHD, such as
substance abuse, physical injury, and low educational achievement,49
which are well-documented risk factors for AD. Further studies are
warranted to examine whether ADHD medications could alleviate the
risk of AD associated with ADHD.
This is, to our knowledge, the first study explored the familial asso-
ciation of ADHD with AD and any dementia using a large population-
based sample. The use of multi-generational design enables follow-up
from younger elderly to older elderly in different relatives, and pro-
vides insight into the genetic and environmental contribution to the
associations of ADHD with AD and any dementia. The diagnoses of
ADHD and AD were made separately in the index person and rela-
tives, preventing biases from symptom misclassification or preconcep-
tions of patients or clinicians. Our results should also be interpreted in
light of several limitations. First, despite the multi-generation design,
we were only able to follow most of the parents and uncles/aunts until
their sixties; however, the onset of dementia usually peaks around
80 years of age.34 Nonetheless, results from the subcohort of index
persons born between 1980 and 1989 showed similar estimates with
those born between 1990 and 2001, suggesting the length of follow-
up did not bias the estimates. Second, we were not able to exam-
ine the association with specific dementia subtypes other than AD
(e.g., vascular dementia, dementia with Lewy bodies, and frontotem-
poral dementia) due to insufficient statistical power. Future studies
are needed to explore whether the associations are differential across
subtypes as well as if there exist underlying biological mechanisms
specific to associations of certain subtypes. Third, although prior val-
idation studies have reported the diagnoses of dementia in the NPR
and CDR with specificity of 99%, the sensitivity is only 63%.27,28 Such
misclassifications of dementia cases would attenuate the associations
toward the null and thus our estimates are likely to be conservative.
Nonetheless, we additionally used information on prescriptions for AD
in case identification in sensitivity analysis and generated consistent
results. Fourth, using anti-dementia drugs for AD case identification
in the sensitivity analysis would misclassify some cases, because anti-
dementia drugs are also prescribed for other dementias, for exam-
ple, Lewy body dementia and Parkinson’s disease dementia.50 How-
ever, this misclassification should be nondifferential and not substan-
tially influence the association between ADHD and AD, as Lewy body
dementia and Parkinson’s disease dementia constitute only a small pro-
portion of total dementia cases.50 Finally, although the prevalence of
ADHD diagnosis and ADHD medication prescription in Sweden is simi-
lar to many European countries, it is lower than other countries, such as
the United States,51,52 meaning individuals with ADHD in Sweden may
represent more severe cases than those countries. Thus, replications in
8ZHANG ET AL.
other countries are needed to examine to what extent our results gen-
eralize to other settings.
5CONCLUSIONS
We found that ADHD coaggregated with AD and any dementia within
families, and the strength of association attenuated with decreasing
degree of genetic relatedness. Molecular genetic and family studies
aiming to identify pleiotropic genetic variants and family-wide envi-
ronmental risk factors contributing to both conditions are warranted.
GWAS of ADHD and AD based on a larger sample size could provide
the potential for unraveling shared genetic mechanisms between the
disorders through linkage disequilibrium score regression and network
analyses.53 In addition, our study highlights the importance of advanc-
ing the understanding of ADHD and cognitive decline in older age and,
if verified, calls for investigation of early-life psychiatric prevention on
the development of neurodegenerative diseases in older age.
ACKNOWLEDGMENTS
The study was supported by grants from the Swedish Council for
Health, Working Life and Welfare (2019-00176; 2019-01172), the
Swedish Research Council (2018-02599), the Swedish Brain Founda-
tion (FO2018-0273), the European Union’s Horizon 2020 research and
innovation programme under the Marie Skłodowska-Curie (754285),
the Fredrik & Ingrid Thurings Stiftelse, and the Karolinska Institutet
Research Foundation.
CONFLICTS OF INTEREST
EDR has served as a consultant for Shire Sweden AB; HL has served
as a speaker for Evolan Pharma and Shire/Takeda and has received
research grants from Shire/Takeda, all outside the submitted work. All
other authors have no competing interests.
ORCID
Le Zhang https://orcid.org/0000-0002-7290-5103
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SUPPORTING INFORMATION
Additional supporting information may be found in the online version
of the article at the publisher’s website.
How to cite this article: Zhang Le, Rietz EDu, Kuja-Halkola R,
et al. Attention-deficit/hyperactivity disorder and Alzheimer’s
disease and any dementia: A multi-generation cohort study in
Sweden. Alzheimer’s Dement. 2021;1-9.
https://doi.org/10.1002/alz.12462
... A range of covariates were considered as potential mediators or moderators by the authors (Tables S1-S3 in the online supplemental materials). Common factors that influenced both parent-offspring and offspring-parent results were socioeconomic factors, such as parental educational attainment (Appel et al., 2016;Brew et al., 2022;Burrell et al., 2017;Metsä-Simola et al., 2022;Pitkänen et al., 2023), the presence of other parental comorbid conditions (Berg et al., 2014;Berg, Bäck, et al., 2016;Brew et al., 2022;Keskinen et al., 2013), the type of condition individuals were exposed to (Appel et al., 2013;Bell et al., 2019;Feudtner et al., 2021;Haapea et al., 2022;Metsä-Simola et al., 2022;Zhang et al., 2022), and the age at which the parent experienced, or the offspring was exposed to, the TPE (Armfield et al., 2021;Kristiansen, 2021;Levine et al., 2016;Stephansson et al., 2010;. ...
... Studies that investigated offspring health-related turning points on parental outcomes (n = 11) examined cancer (n = 4) (Hiyoshi et al., 2018;Lindahl Norberg et al., 2017;Metsä-Simola et al., 2022;Öhman et al., 2021), life-limiting conditions (n = 2) (Feudtner et al., 2021;Fraser et al., 2021), death (n = 3) (Bolton et al., 2013;Rostila et al., 2018;Wilcox et al., 2015), hospitalization for self-harm (n = 1) (Pitkänen et al., 2023), and diagnosis of attention-deficit/hyperactivity disorder (ADHD) (n = 1) (Zhang et al., 2022). Nine studies investigated the impact of these turning points on parental health outcomes, such as mental disorders and psychotropic medication use (n = 8) (Bolton et al., 2013;Fraser et al., 2021;Metsä-Simola et al., 2022;Öhman et al., 2021;Pitkänen et al., 2023;Rostila et al., 2018;Wilcox et al., 2015;Zhang et al., 2022), health service use (n = 2) (Bolton et al., 2013;Feudtner et al., 2021), and parental and grandparental diagnosis of physical illness (n = 1) (Bolton et al., 2013). ...
... Studies that investigated offspring health-related turning points on parental outcomes (n = 11) examined cancer (n = 4) (Hiyoshi et al., 2018;Lindahl Norberg et al., 2017;Metsä-Simola et al., 2022;Öhman et al., 2021), life-limiting conditions (n = 2) (Feudtner et al., 2021;Fraser et al., 2021), death (n = 3) (Bolton et al., 2013;Rostila et al., 2018;Wilcox et al., 2015), hospitalization for self-harm (n = 1) (Pitkänen et al., 2023), and diagnosis of attention-deficit/hyperactivity disorder (ADHD) (n = 1) (Zhang et al., 2022). Nine studies investigated the impact of these turning points on parental health outcomes, such as mental disorders and psychotropic medication use (n = 8) (Bolton et al., 2013;Fraser et al., 2021;Metsä-Simola et al., 2022;Öhman et al., 2021;Pitkänen et al., 2023;Rostila et al., 2018;Wilcox et al., 2015;Zhang et al., 2022), health service use (n = 2) (Bolton et al., 2013;Feudtner et al., 2021), and parental and grandparental diagnosis of physical illness (n = 1) (Bolton et al., 2013). ...
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Introduction: Some individuals over their life course will experience significant health-related events, such as a physical or mental illness, that can alter their life pathways or trajectories, known as “turning-point” events. This systematic review aimed to synthesize the evidence from population-based data collections for: (a) parent health-related turning point events and the impact of these events on offspring health and social outcomes; and (b) offspring health-related turning point events and the impact of these events on parent health and social outcomes. Method: A review of four databases (MEDLINE, CINAHL, PsycINFO, and Scopus) from January 1, 2010 to February 23, 2023 was conducted. Abstracts and full-text articles were screened by four reviewers and critically appraised. Results: Of 114 articles, 98 (86%) examined the effect of a parental health-related turning point on offspring, 11 (10%) examined the effect of an offspring turning point on parents, and five (4%) investigated bidirectional impacts of a turning point event. For parents and offspring, mental health disorders (50%), physical health (26%), and death (24%) were common turning point events examined. For parents and offspring, common health outcomes included mental disorders (n = 50), physical health (n = 11), substance use (n = 9), and death (n = 7), and common social outcomes included educational performance (n = 14), employment or income level (n = 7), and involvement of child protective services (n = 5). Discussion: The ability to disentangle relationships between turning point events and adverse health and social outcomes is required, as is the development of strategies to disrupt intergenerational disadvantage.
... When considering the articles' discussions, we found that the idea that NDDs could be considered as a risk factor (Cooper, 1997;Dobrosavljevic et al., 2021;Fluegge and Fluegge, 2017;Golimstok et al., 2010;Hand et al., 2020;Klein et al., 2023;Lebowitz et al., 2016;Leffa et al., 2023;Metzler-Baddeley et al., 2008;Miller et al., 2019;Popovitch et al., 1990;Rogalski et al., 2008Rogalski et al., , 2014Tzeng et al., 2017;Vivanti et al., 2021;Zhang et al., 2021) for CBNDs was expressed in 50 % of them (n=16 articles). Some examples include designating NDDs as «an apparent predisposition» (Popovitch et al., 1990) or a «susceptibility marker» (Rogalski et al., 2014) for CBNDs, and describing individuals with a history of NDDs as «more likely to be diagnosed with» (Hand et al., 2020) or as having «an increased risk of developing» CBNDs. ...
... Some examples include designating NDDs as «an apparent predisposition» (Popovitch et al., 1990) or a «susceptibility marker» (Rogalski et al., 2014) for CBNDs, and describing individuals with a history of NDDs as «more likely to be diagnosed with» (Hand et al., 2020) or as having «an increased risk of developing» CBNDs. Numerous authors hypothesized that the association between NDDs and CBNDs could be explained by lower cognitive reserve (Cooper, 1997;Croen et al., 2015;Dobrosavljevic et al., 2021;Popovitch et al., 1990;Rhodus et al., 2020;Tzeng et al., 2017;Vivanti et al., 2021;Zhang et al., 2021) (25 % of articles, n=8). Indeed, NDDs might constitute an «earlier behavioral burden» that «may lower the threshold for onset» of CBNDs , potentially via «co-morbid features that are frequently observed» in NDDs (Vivanti et al., 2021) or via «lifestyle» and «barriers» to satisfying «service need» (Vivanti et al., 2021). ...
... This overlap may also present as «a common neurotransmitter pathway dysfunction» (Golimstok et al., 2010). Sixteen percent of articles (n=5) also mentioned genetics (Cooper, 1997;Croen et al., 2015;Leffa et al., 2023;Rogalski et al., 2008;Zhang et al., 2021) as a potential factor influencing the associations of pairs, considering «genetic liability» for a NDD «as a relevant factor influencing [a CBND] progression» (Leffa et al., 2023) or even that NDDs and CBNDs «may share similar genetic factors» (Croen et al., 2015). Finally, 19 % of discussions (n=6) underlined that the association between NDDs and CBNDs has consequences on healthcare (Cooper, 1997;Lebowitz et al., 2016;Metzler-Baddeley et al., 2008;Rhodus et al., 2020;Tait, 1983;Vivanti et al., 2021), not only because patients with a NDD «are likely to require additional support» (Cooper, 1997), but also because «learning disorder history may increase the likelihood of misdiagnosis» (Lebowitz et al., 2016) by producing «similar behavioral features» (Rhodus et al., 2020) as CBNDs, notably. ...
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This scoping review aims at giving an overview of the possible influence of neurodevelopmental disorders (NDDs) on cognitive-behavioral neurodegenerative diseases (CBNDs). Based on the PRISMA-ScR checklist, it details the methods of NDDs screening, the identified NDDs-CBNDs associations, as well as the criteria and types of association. The last literature search was performed in June 2023. In the final study, 32 articles were included. Analysis first showed that NDDs were mainly detected through medical records screening. Second, the association of specific learning disorders and major or mild neurocognitive disorder due to Alzheimer’s disease was the most investigated. Third, associations were mostly based on prevalence comparisons. Finally, 66 % of studies reported a positive association between NDDs and CBNDs. Notably, up to 67 % of positive associations were observed with atypical forms of certain CBNDs. Authors’ interpretations suggest that NDDs could constitute a risk factor for CBNDs. However, the influence of NDDs on CBNDs still lacks evidence and biological support, possibly due to the heterogeneity of methods and criteria employed. Developing validated assessment tools for all NDDs and conducting cohort studies could be beneficial for research, and clinical practice. Indeed, this review also underlines the importance of adopting a life-span approach regarding CBNDs.
... for parents, an HR of 1.10 with a 95% CI of 1.08-1.12 for grandparents, and a non-significant association for aunts and uncles) [36]. ...
... ( 13 for grandparents, and a non-significant association for aunts and uncles) [36]. Similarly, Leffa et al. found that polygenic risk score for ADHD was associated with longitudinal cognitive decline, particularly in the amnestic domain, in amyloid-␤-positive individuals but not in amyloid-␤-negative individuals (e.g., ␤ of -0.02 with a 95% CI of -0.05 to -0.0001 for the interaction between ADHD polygenic risk score, time, baseline A␤-PET status, and memory testing) [39]. ...
... Our search yielded sixteen studies either assessing whether ADHD is associated with neurocognitive disorders or exploring themes related to both concepts. Fourteen of these studies met the most stringent quality criteria suggested by the authors of the Qual-Syst tool [27]; of these higher quality studies, six found a positive association between ADHD and at least one type of neurocognitive disorder [22,[33][34][35][36]39], three did not find an association between ADHD and neurocognitive disorders [37,40,41], and four discussed themes relevant to both types of disorders without providing a clear mechanism for a possible association between them [43][44][45]47]. ...
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Background Attention-deficit/hyperactivity disorder (ADHD), a common neurodevelopmental condition now recognized to persist into older adulthood, has been postulated to be a risk factor for neurocognitive disorders given the overlap in clinical features and neurobiology, as well as the complex interplay between ADHD and known risk factors for dementia. Studies have emerged assessing this relationship, but there has not yet been a comprehensive systematic review addressing this topic. Objective To assess whether ADHD is a risk factor for neurocognitive disorders and to explore possible mechanisms for such an association. Methods A systematic review of the literature was conducted using Medline, Embase, and PsycINFO from inception until June 4, 2023. Studies were included if they assessed whether or how ADHD may be a risk factor for neurocognitive disorders. Studies were excluded if they were not primary literature, not published in a peer-reviewed journal, not in English, and/or used non-human subjects. Study quality was assessed using the QualSyst tool. Results Sixteen studies met inclusion criteria. Seven studies found a positive association between ADHD and neurocognitive disorders (all-cause dementia in four studies, Alzheimer’s disease in three studies, Lewy body dementia in two studies, and mild cognitive impairment in one study). Four studies did not find an association. Five studies pertained to possible mechanisms for an association, including genetics, with minimal significant findings. Conclusions ADHD may be a risk factor for certain neurocognitive disorders, although the evidence base is limited, and the absolute risk is small. Possible explanations include genetic and lifestyle factors.
... All relatives were followed from the index date until T2DM or end of follow-up (death, emigration from Denmark, or end of 2018). This multigenerational approach is in line with previous multigenerational register-based studies (Zhang et al., 2022). ...
... Shared familial risks include both genetic and environmental factors, which may affect both the risk for T2DM (in relatives) and risk for psychiatric disorders (in probands). Other mechanisms behind the observed familial co-aggregation of disorders have been suggested, including familial co-aggregation of psychiatric disorders and direct associations with T2DM, likely mediated through changes in socioeconomic and lifestyle factors (Zhang et al., 2022). ...
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Background Psychiatric disorders and type 2 diabetes mellitus (T2DM) are heritable, polygenic, and often comorbid conditions, yet knowledge about their potential shared familial risk is lacking. We used family designs and T2DM polygenic risk score (T2DM-PRS) to investigate the genetic associations between psychiatric disorders and T2DM. Methods We linked 659 906 individuals born in Denmark 1990–2000 to their parents, grandparents, and aunts/uncles using population-based registers. We compared rates of T2DM in relatives of children with and without a diagnosis of any or one of 11 specific psychiatric disorders, including neuropsychiatric and neurodevelopmental disorders, using Cox regression. In a genotyped sample (iPSYCH2015) of individuals born 1981–2008 ( n = 134 403), we used logistic regression to estimate associations between a T2DM-PRS and these psychiatric disorders. Results Among 5 235 300 relative pairs, relatives of individuals with a psychiatric disorder had an increased risk for T2DM with stronger associations for closer relatives (parents:hazard ratio = 1.38, 95% confidence interval 1.35–1.42; grandparents: 1.14, 1.13–1.15; and aunts/uncles: 1.19, 1.16–1.22). In the genetic sample, one standard deviation increase in T2DM-PRS was associated with an increased risk for any psychiatric disorder (odds ratio = 1.11, 1.08–1.14). Both familial T2DM and T2DM-PRS were significantly associated with seven of 11 psychiatric disorders, most strongly with attention-deficit/hyperactivity disorder and conduct disorder, and inversely with anorexia nervosa. Conclusions Our findings of familial co-aggregation and higher T2DM polygenic liability associated with psychiatric disorders point toward shared familial risk. This suggests that part of the comorbidity is explained by shared familial risks. The underlying mechanisms still remain largely unknown and the contributions of genetics and environment need further investigation.
... Large-scale epidemiological studies utilizing register data from millions of individuals indicated an increased likelihood of a diagnosis of MCI and dementia (such as AD dementia) among individuals with ADHD. [7][8][9][10] The pathophysiology of AD involves the aggregation of amyloid beta (Aβ) in extracellular neuritic plaques, followed by the accumulation of hyperphosphorylated tau (p-tau) in cell bodies and dendrites as neurofibrillary tangles, which is closely linked to neurodegeneration and cognitive decline. 11 Although the underlying mechanisms linking ADHD and AD remain unclear, recent studies suggest that individuals with ADHD may have reduced resilience to Aβ pathology, leading to a decline in cognition at lower pathological levels. ...
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INTRODUCTION Epidemiological studies indicate a link between attention‐deficit/hyperactivity disorder (ADHD) and elevated risk of dementia. However, the impact of ADHD on cognition and Alzheimer's disease (AD) biomarkers in individuals with cognitive impairment remains unclear. METHODS We computed weighted ADHD polygenic risk scores (ADHD‐PRS) in 938 cognitively impaired participants (674 mild cognitive impairment [MCI] and 264 dementia; mean age 73.5 years). A subset underwent cerebrospinal fluid (CSF) analysis for amyloid beta (Aβ) and phosphorylated tau, as well as fluorodeoxyglucose positron emission tomography ([¹⁸F]FDG‐PET). RESULTS We observed lower executive function in individuals with high ADHD‐PRS for both MCI and dementia participants. Higher levels of CSF phosphorylated tau, but not Aβ, were observed in dementia participants with higher ADHD‐PRS. Increased ADHD‐PRS was associated with glucose hypometabolism in the frontal and parietal cortices. DISCUSSION ADHD‐PRS is associated with a more severe disease presentation in individuals with cognitive impairment due to dementia, characterized by impaired executive function, elevated tau pathology, and hypometabolism in the frontal and parietal cortices. Highlights We calculated the genetic liability for attention‐deficit/hyperactivity disorder (ADHD) using polygenic risk scores (ADHD‐PRS). Elevated ADHD‐PRS was associated with executive function deficits in individuals with mild cognitive impairment (MCI) or Alzheimer's disease (AD) dementia. Higher levels of cerebrospinal fluid (CSF) phosphorylated tau, but not amyloid beta (Aβ), were observed in dementia participants with higher ADHD‐PRS. Higher ADHD‐PRS was associated with brain hypometabolism in individuals with AD dementia. Hypometabolism in the parietal cortex mediated the effects of ADHD‐PRS on executive function.
... Schizophrenia, though not directly linked to amyloid beta pathology, shares a reduction in white matter tract integrity with AD, and patients face higher exposure to risk factors for cognitive decline (39,40). Attention-Deficit and Hyperactivity Disorder (ADHD) has been associated with increased AD risk in epidemiological and genetic studies (41,42), yet the underlying mechanisms remain unclear and require further investigation. ...
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Aim Adult attention deficit hyperactivity disorder (ADHD) may be associated with an increased risk of dementia in old age. Here, we investigated the liability for neurodegenerative brain disease in adult ADHD, possibly reflected by increased brain iron content and associated neuroaxonal vulnerability. Methods Thirty‐two adults with ADHD (35 ± 10 years) and 29 age‐ and sex‐matched controls (32 ± 12 years) underwent magnetic resonance imaging (MRI), standardized psychometric testing and assessment of lifestyle factors. Quantitative susceptibility mapping (QSM) was used to assess magnetic abnormalities indicating local alterations of iron deposition in the brain. By calculating QSM‐maps, local iron deposition was tested for statistically significant differences between ADHD and healthy controls. Plasma neurofilament light chain (NfL) levels were measured as an indicator of neuroaxonal integrity by using a fourth‐generation ELLA immunoassay. Results Brain iron content differed in persons with ADHD, with strongest effects observable in the right precentral cortex (healthy controls: 0.0033 ± 0.0017ppm; ADHD: 0.0048 ± 0.0016ppm; t (59) = 3.56, P < 0.001). Moreover, right precentral cortex iron in persons with ADHD was associated with increased blood NfL levels ( F (1.57) = 13.2, P = 0.001, r 2 = 0.19). Conclusion Our results indicate altered regional iron content in the brains of adults with ADHD. The observed association between increased precentral magnetic susceptibility and increased NfL suggests a connection between local excess of brain iron and neuroaxonal damage in ADHD. Given the limited sample size of the current study and the naturalistic medication plan, further longitudinal studies are needed to establish whether altered brain iron distribution in adults with ADHD may be associated with an increased risk of dementia at old age.
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Abstract The observation that the risk of developing Alzheimer's disease is reduced in individuals with high premorbid cognitive functioning, higher educational attainment, and occupational status has led to the ‘cognitive reserve’ hypothesis. This hypothesis suggests that individuals with greater cognitive reserve can tolerate a more significant burden of neuropathological changes before the onset of cognitive decline. The underpinnings of cognitive reserve remain poorly understood, although a shared genetic basis between measures of cognitive reserve and Alzheimer's disease has been suggested. Using the largest samples to date and novel statistical tools, we aimed to investigate shared genetic variants between Alzheimer's disease, and measures of cognitive reserve; cognition and educational attainment to identify molecular and neurobiological foundations. We applied the causal mixture model (MiXeR) to estimate the number of trait-influencing variants shared between Alzheimer's disease, cognition, and educational attainment, and condFDR/conjFDR to identify shared loci. To provide biological insights loci were functionally characterized. Subsequently, we constructed a Structural Equation Model (SEM) to determine if the polygenic foundation of cognition has a direct impact on Alzheimer's disease risk, or if its effect is mediated through established risk factors for the disease, using a case-control sample from the UK Biobank. Univariate MiXeR analysis (after excluding chromosome 19) revealed that Alzheimer's disease was substantially less polygenic (450 trait-influencing variants) compared to cognition (11,100 trait-influencing variants), and educational attainment (12,700 trait-influencing variants). Bivariate MiXeR analysis estimated that Alzheimer's disease shared approximately 70 % of trait-influencing variants with cognition, and approximately 40 % with educational attainment, with mixed effect directions. Using condFDR analysis, we identified 18 loci jointly associated with Alzheimer's disease and cognition and 6 loci jointly associated with Alzheimer's disease and educational attainment. Genes mapped to shared loci were associated with neurodevelopment, expressed in early life, and implicated the dendritic tree and phosphatidylinositol phosphate binding mechanisms. Spatiotemporal gene expression analysis of the identified genes showed that mapped genes were highly expressed during the mid-fetal period, further suggesting early neurodevelopmental stages as critical periods for establishing cognitive reserve which affect the risk of Alzheimer's disease in old age. Furthermore, our SEM analysis showed that genetic variants influencing cognition had a direct effect on the risk of developing Alzheimer's disease, providing evidence in support of the neurodevelopmental hypothesis of the disease.
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Objective A thorough and comprehensive knowledge base on the extent of comorbidity of attention‐deficit/hyperactivity disorder (ADHD) and somatic conditions is needed. Method We compared the prevalence of a wide range of somatic conditions in individuals with and without ADHD and described sex and lifecourse differences. Individuals with an ADHD diagnosis ( N = 87,394) and age and sex‐matched individuals without an ADHD diagnosis were identified from a large health claims dataset representative of the general German population, including both primary and specialized care ( N = 4.874,754). Results were provided for the full sample as well as stratified for sex and age (<12 years, 13–17 years, 18–29 years, 30–59 years, ≥60 years). Results The results showed that ADHD is associated with a wide variety of somatic conditions across the entire lifecourse. Specifically neurological disorders such as Parkison's disease (odds ratio [OR]: 5.21) and dementia (OR: 2.23), sleep‐related disorders (OR: 2.38) and autoimmune disorders affecting the musculoskeletal, digestive, and endocrine system (fibromyalgia OR: 3.33; lupus OR: 2.17) are strongly and significantly associated with ADHD. Additionally, ADHD is associated with higher occurrence of common acute diseases typically treated by the general practitioner, hinting at an overall general lower health status. Sex differences in somatic comorbidity were not prominent. Age differences, in contrast, stood out: in particular endocrine, cardiovascular, and neurological disorders had an early onset in individuals with compared to individuals without ADHD. Conclusion This research underlines the high burden of disease due to somatic conditions among individuals with ADHD. The findings indicate the need for preventive measures to reduce comorbidity.
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There is a significant knowledge gap in research on Attention-Deficit/Hyperactivity Disorder (ADHD) in older adults. Via a systematic review and meta-analysis, we aimed to investigate the prevalence of ADHD in older adults, considering different assessment methods. We searched five electronic databases up to June 26, 2020. We identified 20 relevant studies with 32 datasets providing a total sample size of 20,999,871 individuals (41,420 individuals with ADHD). The pooled prevalence estimates differed significantly across assessment methods: 2.18 % (95 % CI = 1.51, 3.16) based on research diagnosis via validated scales, 0.23 % (0.12, 0.43) relying on clinical ADHD diagnosis, and 0.09 % (0.06, 0.15) based on ADHD treatment rates. Heterogeneity was significant across studies for all assessment methods. There is a considerable number of older adults with elevated levels of ADHD symptoms as determined via validated scales, and the prevalence of treated ADHD is less than half of the prevalence of clinically diagnosed ADHD. This highlights the need for increased awareness of ADHD clinical diagnosis and treatment in older adults.
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Background Microarray technologies have identified imbalances in the expression of specific genes and biological pathways in Alzheimer’s disease (AD) brains. However, there is a lack of reproducibility across individual AD studies, and many related neurodegenerative and mental health disorders exhibit similar perturbations. Objective Meta-analyze publicly available transcriptomic data from multiple brain-related disorders to identify robust transcriptomic changes specific to AD brains. Methods Twenty-two AD, eight schizophrenia, five bipolar disorder, four Huntington’s disease, two major depressive disorder, and one Parkinson’s disease dataset totaling 2,667 samples and mapping to four different brain regions (temporal lobe, frontal lobe, parietal lobe, and cerebellum) were analyzed. Differential expression analysis was performed independently in each dataset, followed by meta-analysis using a combining p-value method known as Adaptively Weighted with One-sided Correction. Results Meta-analysis identified 323, 435, 1,023, and 828 differentially expressed genes specific to the AD temporal lobe, frontal lobe, parietal lobe, and cerebellum brain regions, respectively. Seven of these genes were consistently perturbed across all AD brain regions with SPCS1 gene expression pattern replicating in RNA-Seq data. A further nineteen genes were perturbed specifically in AD brain regions affected by both plaques and tangles, suggesting possible involvement in AD neuropathology. In addition, biological pathways involved in the “metabolism of proteins” and viral components were significantly enriched across AD brains. Conclusion This study identified transcriptomic changes specific to AD brains, which could make a significant contribution toward the understanding of AD disease mechanisms and may also provide new therapeutic targets.
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Alzheimer’s disease (AD) is highly heritable and recent studies have identified over 20 disease-associated genomic loci. Yet these only explain a small proportion of the genetic variance, indicating that undiscovered loci remain. Here, we performed a large genome-wide association study of clinically diagnosed AD and AD-by-proxy (71,880 cases, 383,378 controls). AD-by-proxy, based on parental diagnoses, showed strong genetic correlation with AD (rg = 0.81). Meta-analysis identified 29 risk loci, implicating 215 potential causative genes. Associated genes are strongly expressed in immune-related tissues and cell types (spleen, liver, and microglia). Gene-set analyses indicate biological mechanisms involved in lipid-related processes and degradation of amyloid precursor proteins. We show strong genetic correlations with multiple health-related outcomes, and Mendelian randomization results suggest a protective effect of cognitive ability on AD risk. These results are a step forward in identifying the genetic factors that contribute to AD risk and add novel insights into the neurobiology of AD. © 2019, The Author(s), under exclusive licence to Springer Nature America, Inc.
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Attention deficit/hyperactivity disorder (ADHD) is a highly heritable childhood behavioral disorder affecting 5% of children and 2.5% of adults. Common genetic variants contribute substantially to ADHD susceptibility, but no variants have been robustly associated with ADHD. We report a genome-wide association meta-analysis of 20,183 individuals diagnosed with ADHD and 35,191 controls that identifies variants surpassing genome-wide significance in 12 independent loci, finding important new information about the underlying biology of ADHD. Associations are enriched in evolutionarily constrained genomic regions and loss-of-function intolerant genes and around brain-expressed regulatory marks. Analyses of three replication studies: a cohort of individuals diagnosed with ADHD, a self-reported ADHD sample and a meta-analysis of quantitative measures of ADHD symptoms in the population, support these findings while highlighting study-specific differences on genetic overlap with educational attainment. Strong concordance with GWAS of quantitative population measures of ADHD symptoms supports that clinical diagnosis of ADHD is an extreme expression of continuous heritable traits. © 2018, The Author(s), under exclusive licence to Springer Nature America, Inc.
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Introduction: A few studies suggest that working night and rotating shifts increase the risk of dementia. We examined the association between shift work and the incidence of dementia in a cohort of female Danish nurses. Methods: We linked Danish Nurse Cohort participants, who reported work schedules (day, evening, night, rotating shifts) in 1993 and/or 1999 and their duration in 2009, to Danish registers to obtain information on dementia hospitalizations and prescription medication until November 2018. Results: Among 6048 nurses who reported work schedules in 1993 and 1999, nurses working night shifts ≥6 years had higher dementia incidence (hazard ratio: 2.43, 95% confidence interval: 1.39 to 4.23) than those working day shifts ≥6 years. Among 8059 nurses who reported shift work duration, nurses working night shifts ≥6 years had higher dementia incidence than those working night shifts <1 year (1.47, 1.06 to 2.06). Discussion: Persistent night shift work may increase the risk of dementia.
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The Cox proportional hazards model, introduced in 1972,¹ has become the default approach for survival analysis in randomized trials. The Cox model estimates the ratio of the hazard of the event or outcome of interest (eg, death) between 2 treatment groups. Informally, the hazard at any given time is the probability of experiencing the event of interest in the next interval among individuals who had not yet experienced the event by the start of the interval. Because the Cox model requires the hazards in both groups to be proportional, researchers are often asked to “test” whether hazards are proportional.
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Importance A previous register-based study reported elevated all-cause mortality in attention-deficit/hyperactivity disorder (ADHD), but cause-specific risks and the potential associations of psychiatric comorbidities remain unknown. Objectives To investigate the all-cause and cause-specific mortality risks in ADHD and to explore the potential role of psychiatric comorbidities. Design, Setting, and Participants This prospective cohort study used Swedish national registers to identify 2 675 615 individuals born in Sweden from January 1, 1983, through December 31, 2009, as the study population, among whom 86 670 individuals (3.2%) received a diagnosis of ADHD during follow-up. Follow-up was completed December 31, 2013, and data were analyzed from October 2018 through March 2019. Exposures Attention-deficit/hyperactivity disorder identified by first clinical diagnosis or first prescription of ADHD medications as recorded in Swedish registers. Clinical diagnosis of psychiatric comorbidity was available in the National Patient Register. Main Outcomes and Measures All-cause and cause-specific mortalities and hazard ratios (HRs) using Cox proportional hazards regression models. Results In the overall cohort of 2 675 615 individuals, 1 374 790 (51.4%) were male (57 919 with an ADHD diagnosis) and 1 300 825 (48.6%) were female (28 751 with an ADHD diagnosis). Mean (SD) age at study entry was 6.4 (5.6) years. During follow-up, 424 individuals with ADHD and 6231 without ADHD died, resulting in mortality rates of 11.57 and 2.16 per 10 000 person-years, respectively. The association was stronger in adulthood (HR, 4.64; 95% CI, 4.11-5.25) compared with childhood (HR, 1.41; 95% CI, 0.97-2.04) and increased substantially with the number of psychiatric comorbidities with ADHD (HR for individuals with only ADHD, 1.41 [95% CI, 1.01-1.97]; HR for those with ≥4 comorbidities, 25.22 [95% CI, 19.60-32.46]). In adulthood, when adjusting for early-onset psychiatric comorbidity, the association between ADHD and risk of death due to natural causes was attenuated substantially and was no longer statistically significant (HR, 1.32; 95% CI, 0.94-1.85). When adjusting for later-onset psychiatric disorders, the association was attenuated to statistical nonsignificance for death due to suicide (HR, 1.13; 95% CI, 0.88-1.45) but remained statistically significant for death caused by unintentional injury (HR, 2.14; 95% CI, 1.71-2.68) or other external causes (HR, 1.75; 95% CI, 1.23-2.48). Conclusions and Relevance Psychiatric comorbidity appears to play an important role in all-cause and cause-specific mortality risks in ADHD. In adulthood, early-onset psychiatric comorbidity contributed primarily to the association with death due to natural causes, whereas later-onset psychiatric comorbidity mainly influenced death due to unnatural causes, including suicide and unintentional injury. These findings suggest that health care professionals should closely monitor specific psychiatric comorbidities in individuals with ADHD to identify high-risk groups for prevention efforts.
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Attention-deficit/hyperactivity disorder (ADHD) medication is one of the most commonly prescribed medication classes in child and adolescent psychiatry, and its use is increasing rapidly in adult psychiatry. However, major questions and concerns remain regarding the benefits and risks of ADHD medication, especially in real-world settings. We conducted a qualitative systematic review of studies that investigated the effects of ADHD medication on behavioral and neuropsychiatric outcomes using linked prescription databases from the last 10 years and identified 40 studies from Europe, North America, and Asia. Among them, 18 used within-individual designs to account for confounding by indication. These studies suggested short-term beneficial effects of ADHD medication on several behavioral or neuropsychiatric outcomes (i.e., injuries, motor vehicle accidents, education, substance use disorder), with estimates suggesting relative risk reduction of 9% to 58% for these outcomes. The within-individual studies found no evidence of increased risks for suicidality and seizures. Replication studies are needed for several other important outcomes (i.e., criminality, depression, mania, psychosis). The available evidence from pharmacoepidemiology studies on long-term effects of ADHD medication was less clear. We discuss time-varying confounding and other limitations that should be considered when interpreting results from pharmacoepidemiology studies. Furthermore, we highlight several knowledge gaps to be addressed in future research and implications for research on mechanisms of outcomes of ADHD medications.
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BACKGROUND: The use of medications to treat attention deficit hyperactivity disorder (ADHD) has increased, but the prevalence of ADHD medication use across different world regions is not known. Our objective was to determine regional and national prevalences of ADHD medication use in children and adults, with a specific focus on time trends in ADHD medication prevalence. METHODS: We did a retrospective, observational study using population-based databases from 13 countries and one Special Administrative Region (SAR): four in Asia and Australia, two in North America, five in northern Europe, and three in western Europe. We used a common protocol approach to define study populations and parameters similarly across countries and the SAR. Study populations consisted of all individuals aged 3 years or older between Jan 1, 2001, and Dec 31, 2015 (dependent on data availability). We estimated annual prevalence of ADHD medication use with 95% CI during the study period, by country and region and stratified by age and sex. We reported annual absolute and relative percentage changes to describe time trends. FINDINGS 154·5 million individuals were included in the study. ADHD medication use prevalence in 2010 (in children aged 3–18 years) varied between 0·27% and 6·69% in the countries and SAR assessed (0·95% in Asia and Australia, 4·48% in North America, 1·95% in northern Europe, and 0·70% in western Europe). The prevalence of ADHD medication use among children increased over time in all countries and regions, and the absolute increase per year ranged from 0·02% to 0·26%. Among adults aged 19 years or older, the prevalence of any ADHD medication use in 2010 varied between 0·003% and 1·48% (0·05% in Asia and Australia, 1·42% in North America, 0·47% in northern Europe, and 0·03% in western Europe). The absolute increase in ADHD medication use prevalence per year ranged from 0·0006% to 0·12%. Methylphenidate was the most commonly used ADHD medication in most countries. INTERPRETATION: Using a common protocol and data from 13 countries and one SAR, these results show increases over time but large variations in ADHD medication use in multiple regions. The recommendations of evidence-based guidelines need to be followed consistently in clinical practice. Further research is warranted to describe the safety and effectiveness of ADHD medication in the short and long term, and to inform evidence-based guidelines, particularly in adults.
Article
Introduction: We evaluated whether hospitalization with or without surgery increases risk for dementia or Alzheimer's disease. Methods: A clinical sample (843 clinically diagnosed dementia cases; 1686 matched nondemented individuals) was identified from Swedish Twin Registry studies. A register-based sample (4293 cases; 21,465 matched controls) was identified by linkage of Swedish Twin Registry to Swedish Patient Registry records. Apolipoprotein E (APOE) status and within-pair comparisons of dementia discordant twins indicated genetic susceptibility. Results: Nonsurgical hospitalization is associated with greater dementia risk than hospitalization with surgical intervention. In the register sample, thoracic, abdominal, and major orthopedic procedures entailed dementia risk; in the clinical sample, orthopedic alone. Within-pair analyses indicate that associations in part reflect genetic susceptibility in common to hospitalization and dementia. Potential gene-environment interactions were indicated by greater risk due to hospitalization among APOE ε4 noncarriers. Discussion: We confirm hospitalization as a risk factor for dementia, with repeated hospitalizations a more important risk factor than surgery.