Journal Pre-proof
Motor abnormalities, depression risk, and clinical course in adolescence
Katherine S.F. Damme, Ph.D., Jadyn S. Park, B.A., Teresa Vargas, M.S., Sebastian
Walther, M.D., Stewart A. Shankman, Ph.D., Vijay A. Mittal, Ph.D.
PII:
S2667-1743(21)00057-4
DOI:
https://doi.org/10.1016/j.bpsgos.2021.06.011
Reference:
BPSGOS 37
To appear in:
Biological Psychiatry Global Open Science
Received Date: 6 April 2021
Revised Date:
25 June 2021
Accepted Date: 26 June 2021
Please cite this article as: Damme K.S.F., Park J.S., Vargas T., Walther S., Shankman S.A. & Mittal
V.A., Motor abnormalities, depression risk, and clinical course in adolescence, Biological Psychiatry
Global Open Science (2021), doi: https://doi.org/10.1016/j.bpsgos.2021.06.011.
This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition
of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of
record. This version will undergo additional copyediting, typesetting and review before it is published
in its final form, but we are providing this version to give early visibility of the article. Please note that,
during the production process, errors may be discovered which could affect the content, and all legal
disclaimers that apply to the journal pertain.
© 2021 Published by Elsevier Inc. on behalf of Society of Biological Psychiatry.
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
1
Motor abnormalities, depression risk, and clinical course in adolescence
Katherine S. F. Damme, Ph.D.,1,2 Jadyn S. Park, B.A.,1,3 Teresa Vargas, M.S.,2,3 Sebastian
Walther, M.D.,6 Stewart A. Shankman, Ph.D.,1,2,3 & Vijay A. Mittal, Ph.D.1-5
Institute for Innovations in Developmental Sciences (DevSci), Northwestern University,
ro
2
Department of Psychology, Northwestern University, Evanston, IL, USA
of
1
4
Medical Social Sciences, Northwestern University, Chicago, IL, USA
lP
re
Department of Psychiatry, Northwestern University, Chicago, IL USA
Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
University of Bern, University Hospital of Psychiatry, Translational Research Center, Bern,
Switzerland
Jo
ur
6
3
na
5
-p
Evanston and Chicago, IL, USA
Corresponding Author:
Katherine Damme
Department of Psychology
Northwestern University
2029 Sheridan Rd.
Evanston, IL 60208
Tel: 402-890-3606
Email: Kate.Damme@u.northwestern.edu
The manuscript includes words in the 201/250 words in the abstract, 3,964/4,000 words of text, 2
tables, 2 figures, and supplemental information.
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
2
Abstract
Background: Motor abnormalities, such as psychomotor agitation and retardation, are widely
recognized as core features of depression. However, it is not currently known if motor
abnormalities connote risk for depression.
Methods: Using data from the Adolescent Brain Cognitive Development (ABCD) Study, a
nationally representative sample of youth (n=10,835, 9–11 years old), the present paper
of
examines whether motor abnormalities are associated with (a) depression symptoms in early
ro
adolescence, (b) familial risk for depression (familial risk loading), and (c) future depression
-p
symptoms. Motor abnormalities measures included traditional (DSM) motor signs such as
re
psychomotor agitation and retardation as well as other motor domains such as developmental
lP
motor delays and dyscoordination.
na
Results: Traditional motor abnormalities were less prevalent (agitation=3.2%, retardation=0.3%)
than non-traditional domains (delays=13.79%, coordination=35.5%) among adolescents. Motor
ur
dysfunction was associated with depression symptoms (Cohen’s ds=0.02 to 0.12). Familial risk
Jo
for depression was related to motor abnormalities (Cohen’s ds=0.08 to 0.27), with the exception
of motor retardation. Family vulnerability varied in sensitivity to depression risk (e.g.,
retardation: .53%; dyscoordination: 32.05%). Baseline endorsement of motor abnormalities
predicted future depression symptoms at one-year follow-up.
Conclusions: These findings suggest that motor signs reflect a novel, promising future direction
for examining vulnerability to depression risk in early adolescence.
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
3
Introduction
Major depressive disorder is one of the leading causes of disability in the world,
indicating that depression is both a serious public health concern and economic burden[1].
Although treatments exist, they have modest treatment response rates (approximately ~40-50%
remission)[2, 3]. In response to this problem, a growing literature suggests that early
identification of this disorder and targeted interventions may reduce the rates and course of
of
depression[4, 5]. Current approaches to assessing risk in depression focus on familial risk,
ro
emotion, cognition, or psychosocial factors[6–8]. However, these risk assessments omit motor
-p
signs, despite psychomotor slowing and agitation being characteristic features of depression[9]
re
and the sensitivity of motor behaviors signal changes in underlying neural circuitry[10–12]. As a
lP
result, motor abnormalities may be a valuable early marker of vulnerability[11, 13]. Indeed,
na
pediatric practice has long depended on the use of early motor milestones as a sensitive marker
of disturbances in development[14]. In other psychopathology, such as psychosis, distinct motor
ur
abnormalities have served as strong indicators of early vulnerability as well as emerging brain
Jo
dysfunction[15–22]. There is some evidence to suggest motor abnormalities may predict a severe
course of depression in older adults[11, 23–25] and that motor abnormalities show promise for
the notion of an early biomarker application[26]. However, it is not known if motor
abnormalities are associated with vulnerability for depression in early adolescence. Early
adolescence is a critical developmental period where symptoms first emerge, making it an ideal
period for identifying markers of vulnerability for the disorder[27, 28]. Unfortunately, the
relationship of motor abnormalities to depression in adolescence remains poorly
characterized[15]. Additionally, it is not clear which motor signs might be most relevant in
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
4
adolescence. Finally, motor signs may be a marker that could predict a symptom course starting
in early adolescence.
Current neurobiological models of depression suggest that many depression symptoms
may be related to a long-term downregulation of dopamine impacting inter-related, parallel
circuits (e.g., affective, associative, and motor)[10, 11, 29]. Recent literature also suggests that
disturbances in these parallel circuits may have synergistic impacts on clinical deficits across
of
emotion, cognition, and motor behaviors[30]. Regardless of the exact source of the
ro
pathophysiology[31], it is clear that any such disturbance may also impact motor behavior,
-p
alongside cognitive and affective circuits. As a result, motor signs can be a clinically significant
re
risk marker that should be considered alongside traditional cognitive, heritability, and affective
lP
markers.
na
Among the adult literature, motor signs have been viewed as core components of
depression for decades[9]. Extant research highlight the potential for motor abnormalities to be
ur
crucial behavioral markers that relate to greater symptom severity[23, 24, 27], worsening
Jo
course[25, 32], lower quality of life[24], and worse response to antidepressant treatment[33, 34].
However, in developmental literature, it remains unknown whether these motor abnormalities
are merely an epiphenomena or reflect a marker of vulnerability for depression[15]. Furthermore,
it is not clear if psychomotor agitation and psychomotor retardation are the ideal markers of
vulnerability in early adolescence or if other motor markers may be more relevant earlier in
development.
Early depression vulnerability may be marked by delays in meeting developmental motor
milestones (e.g., sitting upright, rolling over, walking)[35]. Indeed, infants of depressed mothers
exhibited developmental motor delays[36, 37], and such delays have predicted symptoms several
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
5
decades later in adulthood[16, 38]. While these studies provide strong evidence of developmental
motor delays as a vulnerability marker, it is not clear if developmental motor delays confer
additional sensitivity to vulnerability measures over traditional motor signs or reflect the same
general vulnerability. In addition to developmental motor delays, developmental coordination
disorder (a childhood movement disorder) has been related to high levels of childhood
depression[39, 40] and future depression in adulthood[41, 42]. In a parallel line of work, adults
of
with depression with psychotic features have also shown motor dyscoordination[43], which
ro
suggests that dyscoordination may be relevant marker of vulnerability for this disorder. As such,
-p
an expanded list of motor abnormalities may be a useful marker of symptoms, onset, or risk.
re
In addition to a limited set of motor abnormalities, there has been no comprehensive or
lP
comparative assessment of motor abnormalities to vulnerability to depression in a single sample.
na
Comparing motor abnormality prevalence across current depression, familial risk for depression,
and future depression may indicate whether motor abnormalities reflect inherited mechanisms
ur
(familial risk loading for depression) or the presence of active disease processes (current
Jo
depression)[44]. Though some extant literature suggests the heritability of specific motor
signs[27], little is known whether motor abnormalities reflect a stable vulnerability or track early
emerging symptoms in adolescence. Examining multiple facets of vulnerability in a single study
will thus aid in assessing whether motor abnormalities may be potential psychiatric
endophenotypes of depression vulnerability.
Large, representative, and longitudinal samples of adolescents, such as the Adolescent
Brain Cognitive Development (ABCD study), provide a unique opportunity to assess the
relevance and sensitivity of motor signs to vulnerability to depression. To date, ABCD studies
have largely focused on the contribution of health behaviors (i.e., sleep[45], BMI[46],
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
exercise[47, 48]), environment (i.e., stress[49], SES[50, 51]), or individual traits (i.e., familial
risk loading[52–54], race[50, 51]) to depression. Far fewer of these studies have examined
specific depression symptoms over time[55], and none have examined the potential relationship
of motor abnormalities to concurrent depression, familial risk for depression, or future risk for
depression. This study leverages the nationally representative samples of young adolescents in
the ABCD study to answer several heretofore unanswered questions about the relevance of
of
motor signs in this critical developmental period. First, we determined the prevalence of motor
ro
abnormalities in adolescents in general and in those with depression using both traditional
-p
(psychomotor agitation, psychomotor retardation) and novel motor measures (developmental
re
motor delays, dyscoordination), thus examining the utility of expanding the traditional motor
lP
signs to include developmental motor delays from early life and dyscoordination. We
na
hypothesized that motor signs will be present in adolescence and more prevalent among
individuals with emerging depression or risk for depression. Importantly, given the age of the
ur
sample and the age window for when depression typically has its onset[56], many individuals in
Jo
ABCD will have not yet passed through the peak risk window for full depression onset.
Therefore, in the current study, we examined depressive symptoms dimensionally and
hypothesized that individuals who endorsed a motor sign will have a greater number of
depression symptoms. Second, we tested whether motor abnormalities are familial vulnerability
factors for depression. This analysis provided insight into which motor abnormalities track
emerging symptoms or mechanisms related to inherited risk, and whether motor abnormalities
represent a general depression vulnerability endophenotype. We hypothesized that motor signs
are related to higher rates of familial vulnerability. Finally, we examined the potential utility of
motor abnormalities at baseline to predict depression symptoms at the 1-year follow-up. We
6
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
7
expected youth with motor abnormalities at baseline to demonstrate higher rates of depression at
follow-up.
Materials and Methods
Participants. The ABCD study included 21 sites across the United States who collected
participants (aged 9–11 years) with a broad demographic diversity range. All research protocols
were in line with the ethical guidelines laid out by each respective Institutional Review Board
of
(DOI: 10.15154/1519065). These guidelines included obtaining both the parents’ informed
ro
consent and the children’s assent. The ABCD Study aimed to track development from childhood
-p
through adolescence to understand factors that may alter healthy development. In the ABCD
re
study, self-assessments were comprehensive and included various measures, such as automated
lP
current diagnoses, dimensional assessments of current psychopathology symptoms, and familial
na
risk loading for psychopathology. The present paper takes advantage of this comprehensive
approach by examining each of these clinical characterizations of depression vulnerability to
ur
examine how each might relate to motor signs. Data was used from ABCD baseline timepoint for
Jo
motor and baseline depression vulnerability data and one-year follow-up waves for the
longitudinal analyses.
Measures.
Youth Psychopathology Assessments. The Schedule for Affective Disorders and
Schizophrenia for School-Age Children, Present and Lifetime Version (K-SADS-PL) is a semistructured parent-child interview designed to assess present and lifetime psychopathology[57].
K-SADS-PL measures affective and psychotic impairments on both diagnosis-specific and
global levels and is highly reliable and well-validated; all questions were asked of each
participant. The depression symptoms sum was calculated as a total count of symptoms that were
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
8
endorsed (current or in the past), resulting in a possible score of 0 to 35[see Supplemental
Information (SI), 2]. Additionally, this assessment produces a spectrum of depression diagnoses
that are automated and not fully assessed by a clinician. As such, they are not recommended for
inclusion in studies. However, such diagnoses show similar patterns of findings as the results
below. As a result, we have included these diagnostics in supplemental material, but emphasize
caution in their reference and interpretation. For a comparison of specificity, total social anxiety
of
symptoms were also compared to motor symptoms.
ro
Motor Assessments. Measurements of motor abnormalities are not a central domain of
-p
the ABCD study. However, four items within clinical scales assess past and current motor
re
abnormalities. These items include (a) early motor developmental delays (ABCD Developmental
lP
History Questionnaire), (b) current symptoms coordination (Child Behavioral Checklist), (c)
na
psychomotor retardation (KSADS), and (d) psychomotor agitation (KSADS), SI. All motor
variables were coded dichotomously (absence or presence).
ur
Family History Assessment. The Family History Assessment Module Screener (FHAM-
Jo
S[58]) screens for the presence/absence of psychopathological symptoms in first-degree
biological relatives and were completed by parents. A total number of first-degree relatives
(parents or siblings) endorsed as having depression were used as a proximal measure of familial
loading of risk.
Data Analyses. First, we used a linear regression analyses to examine current depression
symptoms to rates of motor abnormalities (i.e., psychomotor agitation, psychomotor retardation,
developmental motor delays, dyscoordination) where depression symptoms was the dependent
variable and stimulant medication status was a covariate given the impact of stimulants on motor
behavior. Confidence intervals were assessed with 1,000 iterations of bootstrapped samples. In
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
9
developmental symptoms, no correction for current medication was applied and differences were
assessed with a chi-square analysis. Second, for the dependent variable of familial risk, general
linear models were run for each motor abnormality. Diagnostic test characteristics are reported
for all motor measures, Table 2[59]. Third, we tested whether motor abnormalities at baseline
predicted depression symptoms at a one-year follow-up in two stepwise regressions. All current
symptom analyses excluded individuals on antipsychotics (n=74). Supplemental analyses that
of
included these individuals and did not correct for stimulant medication use yielded similar results
ro
(SI). Additionally, post-hoc parallel analyses were conducted for total social anxiety symptoms
-p
to examine possible specificity (SI). Finally, for each set of analyses (baseline depression, family
re
history of depression, depression at follow-up) we ran multivariate models that including all
lP
motor abnormality variables in order to examine the unique contribution of each motor
na
abnormality to the depression outcome variable. All models described above were considered
significant if they passed Bonferroni correction for 4 model comparisons (p<.0125, SI). Analyses
Jo
ur
were run in SPSS version 27 and visualized in Rv4.0.3.
Results
Prevalence of Motor Abnormalities and Depression Symptoms in Whole Sample.
In the whole sample, 26.9% of individuals endorsed at least one motor sign and 3% endorsed two
or more motor signs: 1.5% endorsed psychomotor agitation, 0.3% endorsed psychomotor
retardation, 8.8% endorsed developmental motor delays, and 19.3% endorsed dyscoordination,
Table 1. The average depression symptoms endorsed in the whole sample at baseline was 0.74
(StD=2.44) and 0.94 (StD=2.71) at follow up; change in number of symptoms endorsed averaged
of 0.41 (StD=3.20). Among individuals who endorsed at least one depression symptom, the
average number of symptoms endorsed was 5.97 (StD = 4.08) and 5.79 (StD=4.13) at follow up.
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
10
For individuals who endorsed at least one symptom at either timepoint, the average change in
symptoms was 1.79 (StD=.6.50). Finally, 30.5% of the sample had a first-degree relative with a
depression diagnosis.
Prevalence of Motor Abnormalities and Concurrent Depression Symptoms.
Depression Symptoms and Psychomotor Agitation. Adolescents who endorsed psychomotor
agitation endorsed more depression symptoms, M=1.55, SD=3.84, compared to those who did
of
not endorse Psychomotor agitation, M=0.73, SD=2.41; Cohen’s d=0.34; B=0.08, SE=.02,
ro
p<.001.
-p
Depression Symptoms and Psychomotor Retardation. Adolescents who endorsed psychomotor
re
retardation endorsed more depression symptoms, M=2.51, SD=4.40, compared to those without
lP
psychomotor retardation, M=0.76, SD=2.43; Cohen’s d=0.73; B=0.13, SE=0.03, p<.001.
na
Depression Symptoms and Developmental Motor Milestones Delays. Adolescents with
developmental motor delays endorsed more depression symptoms, M=1.18, SD=3.23, compared
Jo
p<.001.
ur
to adolescents with no motor delays, M=0.07, SD=2.43, Cohen’s d=0.152; t(11652)=6.07,
Depression Symptoms and Dyscoordination. Adolescents who endorsed dyscoordination
endorsed more depression symptoms, M=1.49, SD=3.50, compared to coordinated adolescents,
M=0.56, SD=2.07; B=0.12, SE=0.008, Cohen’s d=0.39, p<.001.
Motor Abnormalities Relative Association with Depression Symptoms. A general linear model
with simultaneously entered predictors demonstrated that motor abnormalities overall were
related to depression symptoms even after accounting for the variance related to stimulant
medication use, F(5,11646)=82.49, r2=.03, p<.001. All four motor variables were related to
number of depression symptoms endorsed - psychomotor agitation (B=0.82, 0.41-0.59 95% C.I.,
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
11
t=2.55, SE=0.19, p=.007), psychomotor retardation (B=1.37, 0.56-2.19 95% C.I., t=3.32,
SE=0.41, p=.001), developmental motor delays (B=0.43, 0.27-0.99 95% C.I., t=5.45, SE=0.09,
p<.001) and dyscoordination (B=0.86, 0.67-1.00 95% C.I., t=15.20, SE=0.06, p<.001).
Motor Abnormalities and Familial Risk for Depression.
Familial Risk and Psychomotor Agitation. Endorsement of psychomotor agitation related to a
greater familial risk for depression, B=0.24, SE=.08, p<.001, Cohen’s d=0.27; psychomotor
of
agitation: M=1.55, SD=3.84; no psychomotor agitation: M=0.73, SD=2.41).
ro
Familial Risk and Psychomotor Retardation. Psychomotor retardation in youth was unrelated to
-p
the number of relatives with a depression diagnosis, B=0.28, SE=0.15, p=.07, Cohen’s d=0.34.
re
Familial Risk and Developmental Motor Milestones Delays. Individuals with delayed motor
lP
milestones had more first-degree relatives with depression (M=0.47, SD=.759) than individuals
na
who did not experience delays (M=0.40, SD=.727), t(11730)=2.93, p<.001, Cohen’s d=0.082.
Familial Risk and Dyscoordination. Endorsement of dyscoordination related to familial risk for
ur
depression, B=0.22, SE=.029, p<.001, Cohen’s d=0.19. Individuals who endorsed current
Jo
dyscoordination had more first-degree relatives with depression (M=1.49, SD=2.07) than those
who did not endorse dyscoordination (M=0.56, SD=2.867).
Motor Abnormalities Relative Contribution to Depression Familial Vulnerability - Familial Risk
Loading. A general linear model with simultaneously entered predictors demonstrated that motor
abnormalities overall were related to familial risk for depression accounting for the variance
related to stimulant medication use, F(5,11646)=33.18, p<.001, r2=.013. Three of the four motor
variables were each uniquely related to familial risk for depression - psychomotor agitation
(B=0.16, 0.036-0.26 95% C.I., t=2.58, SE=0.06, p=.007), developmental motor delays (B=0.06,
SE=0.03, p=.02), and dyscoordination (B=0.13, SE=0.02, p<.001), while psychomotor
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
12
retardation was not (B=0.23, SE=0.17, p=.17). The test characteristics of motor signs in
predicting familial vulnerability to depression can be found in Table 2.
Motor Abnormalities and Future Symptoms.
Depression Symptoms at One-Year Follow-Up. In a stepwise regression, predicting
dimensional depression symptoms at follow-up, the first step included baseline symptoms of
depression and stimulant uses, and the second step included baseline motor abnormalities (motor
of
agitation, motor retardation, and dyscoordination). The overall model was significant, F(4,
ro
6448)=38.18, p<.001, and the change between steps was significant (F-change(4, 6448)=42.25,
-p
r2-change=.011, p<.001), indicating that motor abnormalities predicted depression symptoms at
re
follow-up over and above baseline depression symptoms alone. Baseline depression symptoms
lP
significantly contributed to the model (β= .146; t=8.89, partial r=.11, p<.001), and all four
motor abnormalities each uniquely predicted follow-up depression symptoms in a second step
na
(dyscoordination: t=2.53, p=.011, β=0.31; partial r=.10; psychomotor retardation: t=6.80,
Jo
r=.026), Table 2.
ur
p<.001, β=0.088; partial r=.084; psychomotor agitation: t=2.07, p=.038, β=0.027; partial
Discussion
Adolescents with motor abnormalities had greater depression vulnerability. Traditional
(psychomotor agitation, psychomotor retardation) and novel (developmental motor milestones,
dyscoordination) motor signs were related to depression. Similarly, familial risk loading was
related to psychomotor agitation, developmental motor delays, and dyscoordination in
adolescents. In a prospective model, motor abnormalities predicted future symptoms.
Collectively, these analyses suggest that motor abnormalities are sensitive to depression in
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
13
adolescence[35] and may provide added benefits when combined with the traditional depression
risk metrics (i.e., cognitive and affective measures).
All motor abnormalities were endorsed by some adolescents in this sample, but
traditional motor measures had a notably low prevalence compared to other motor abnormalities.
Developmental motor delays have been reported to have a similar prevalence (7%) [60] to the
prevalence in the current sample (9.6%). Similarly, the rates of dyscoordination in the current
of
study (19.25%) was similar to the rate of clinically assessed dyscoordination in previous
ro
adolescent studies (27.72%) [61] and populations studies of Canadian children (23%) [62].
-p
Psychomotor agitation and psychomotor retardation among adolescents with a current depression
re
diagnosis in the present study (0.3-3.2%; see SI) were substantially lower than the prevalence
lP
among adults with the diagnosis (34-63%) [11, 63–65]. This difference across development may
na
suggest that motor abnormalities develop over the symptom course. Alternatively, psychomotor
agitation and psychomotor retardation may be masked by neurodevelopmental processes, such
ur
that motor abnormalities become more salient in adulthood. Motor abnormalities may also take
Jo
alternative forms in adolescence, as dyscoordination had a prevalence of 35.5% among depressed
individuals, which was more consistent with the prevalence of adult motor disturbance[39, 40,
42, 66]. Traditional motor measures did, however, show high negative predictive value that may
be useful to distinguish individuals without the diagnosis from a larger pool of potential patients.
Concurrent symptoms also related to motor abnormalities, consistent with studies that have
linked single motor measures to patient symptoms severity in adults[16, 23, 24, 38].
Additionally, supplemental analyses demonstrate that traditional motor metrics (psychomotor
agitation and retardation) may have a less specific relationship to depression, as they relate to
endorsements of psychomotor agitation, but novel motor measures (dyscoordination and motor
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
14
milestones) did not show a similar relationship to social anxiety (SI). As a result, the addition of
novel motor abnormalities, i.e., dyscoordination, increased sensitivity and specificity to disorder
vulnerability beyond traditional measures.
Familial risk loading was related to the endorsement of psychomotor agitation,
developmental motor delays, and dyscoordination; it had similar effect sizes to depression
symptoms. Thus, motor abnormalities may not reflect the presence of depression alone, but a
of
general depression vulnerability. These findings are consistent with motor abnormalities in
ro
infants, children, and adolescents with familial risk for depression[27, 36, 37, 67, 68], but build
-p
upon these findings by demonstrating the relevance of multiple motor metrics to familial risk
re
loading in adolescence. However, it is notable that the current study is unable to disambiguate
lP
environmental from genetic influences, and more studies (e.g., GWAS, twin studies) are needed
na
to test whether motor abnormalities are potential endophenotypes.
Endorsement of motor abnormalities at baseline predicted future depression symptoms
ur
independent of baseline depressive symptoms consistent with adult research[17, 27, 34, 38, 69].
Jo
These results provide convincing evidence for the clinical significance of motor abnormalities,
even with a relatively short follow-up period of one year. Notably, the age of the sample at
follow-up is earlier than the peak onset window for disorder[56], suggesting that motor
abnormalities may connote early (and perhaps more chronic) risk for depression. In
supplemental analyses[SI;17, 57–59], a discriminant function yielded similar accuracy as a
previously published motor discriminant function in adult samples that discriminated healthy
individuals from depression at follow-up[64]. Importantly, many of the motor abnormalities
provided a unique predictive contribution to the model, suggesting that expanding motor
measure may improve sensitivity to predicting future disorder onset and course. The variability
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
15
of the motor abnormalities in terms of specificity and sensitivity to depression may explain why
each motor measure showed an added benefit in classifying individuals as depressed. As a result,
motor measurements, both traditional and novel, show promise as early markers of risk for
disorder onset and course.
Generally, motor abnormalities were related to depression, but psychomotor retardation
had a limited relationship to baseline familial risk, contrary to adult literature, which emphasizes
of
the importance of psychomotor retardation[13, 23, 24, 32, 37, 70–77]. However, these studies
ro
often measure psychomotor retardation directly (e.g., actigraphy) rather than via self-reports,
-p
which may underestimate the prevalence of this symptom in the ABCD study. Psychomotor
re
retardation did, however, show utility in predicting concurrent and future symptom course at
lP
one-year follow-up, highlighting its potential in clinical utility. These latter findings are
na
consistent with reports that psychomotor retardation may highlight a subgroup of the most severe
patients or only mark individuals at risk for severe course[17, 27, 34, 38, 69]. Taken together,
ur
psychomotor retardation may have limited utility as an early clinical vulnerability feature, but
Jo
may connote risk for a more severe course and thus warrant early screening to identify those
most in need of intervention.
The exact mechanisms of motor disturbance in depression are currently still debated.
Some models suggest that hyperactivity in cortical structures, subgenual anterior cingulate cortex
and basal lateral amygdala, signals the nucleus accumbens to drive a downregulation of
dopamine input to cortical regions in the ventral tegmental area[10, 11, 29, 30]. This hypodopaminergic state leads to long-term decrease in dopaminergic gain, which may manifest as
decreased volition, movement, and hedonics among other motoric, cognitive, and affective
symptoms[30]. Some researchers suggest that reduced metabolism of catecholamine leads to
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
16
psychomotor agitation type motor signs[11] or reduction of dopamine in particular leads to
psychomotor retardation[11, 30]. Others propose that tuning of excitability of these circuits, in
general[30] or among interneurons in particular[10], during development will result in motor,
cognitive, and affective symptoms. This model suggests that motor signs may be a risk marker
that may have sensitivity to depression risk alongside traditional cognitive and affective
measures[11]. The current study provides support for this model and suggests that motor may
of
provide additional sensitivity to emerging psychopathology in early adolescence.
ro
Although the study had several notable strengths, it is important to note key limitations.
-p
First, these analyses may overestimate the sensitivity of psychomotor agitation and psychomotor
re
retardation as they are included in the symptom sum. However, these motor signs were
lP
independent of the measure used to assess risk for this disorder, that also showed a comparable
na
effect size. Second, all of the current motor behavior measures were single items, self-report of
motor signs, limiting the sensitivity of motor measures (relative to controlled laboratory
ur
assessments) to ones that are salient to participants. This limitation is particularly notable as
Jo
many motor behavioral measures are readily available, e.g., force variability, velocity scaling
[13, 78]. Existing literature demonstrates that behavioral measures are more sensitive at
identifying motor symptoms than observation or self-report measures alone [79, 80]. It is also
notable that the motor items were included in both self- and parental-reports, and it is possible
that parental-reports of motor milestone delays and dyscoordination were less stringent than selfreports of psychomotor slowing and agitation. However, it is also possible that the parental
reports may be a more sensitive measure of dyscoordination as their assessment reflects a
number of observations of this phenomenon in several of contexts. Additionally, parental report
of abnormalities may be biased by parental psychopathology or concerns regarding
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
17
psychopathology in the child. Next, it is notable that the small effect sizes and test characteristics
suggest that self- and parental-reports of motor behavior alone will not be sufficient to assess risk
for depression. Instead, motor may confer some additional benefit as a part of a larger risk
battery. However, the current effect sizes (Odds Ratios: 1.40-2.41) are within a similar range to
other risk markers of depression [81] including: genome wide associations of depression
(OR=1.35)[82], single nucleotide polymorphisms/single candidate genes (OR=1.15)[82], severe
of
irritability (OR=1.33)[83], and current parental depression (maternal OR=1.99; paternal
ro
OR=1.45)[53]. Finally, although depression in the current paper is treated as a singular outcome,
-p
we recognize that the depression is heterogeneous that reflects a number of complex profiles.
lP
aggregating over this heterogenous group.
re
Future studies should consider examining the specific features of depression rather than
na
In conclusion, motor abnormalities show promise as an early marker of vulnerability to
depression, as these markers (a) discriminated between individuals with depression and the
ur
general population, (b) predicted familial risk loading and (c) prospectively predicted worsening
Jo
symptoms and onset. This study also demonstrated the utility of expanding motor abnormality
metrics beyond psychomotor agitation and psychomotor retardation to increase the sensitivity to
a broader set of more developmentally relevant motor issues, including developmental motor
delays and dyscoordination.
Acknowledgments
This work was supported by the National Institutes of Mental Health (VAM Grant
R01MH094650, R01MH112545–01, R01MH103231, R01MH112545, R01MH094650,
R01MH118741, R21/R33MH103231; SW Grant Swiss National Science Foundation grants
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
18
182469, 184717). Data used in the preparation of this work were obtained from the Adolescent
Brain Cognitive Development (ABCD) Study (https://abcdstudy.org), held in the NIMH Data
Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000
children age 9–10 and follow them over ten years into early adulthood. The ABCD Study is
supported by the National Institutes of Health and additional federal partners under award
numbers U01DA041022, U01DA041028, U01DA041048, U01DA041089, U01DA041106, U01
of
DA041117, U01DA041120, U01DA041134, U01DA041148, U01DA041156, U01DA041174, U
ro
24DA041123, U24DA041147, U01DA041093, and U01DA041025. A full list of supporters is
-p
available at https://abcdstudy.org/federal-partners.html. A listing of participating sites and a
re
complete listing of the study investigators can be found
lP
at https://abcdstudy.org/Consortium_Members.pdf. ABCD consortium investigators designed
na
and implemented the study and/or provided data but did not necessarily participate in the
analysis or writing of this report. This manuscript reflects the views of the authors and may not
ur
reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data
Jo
repository grows and changes over time. DOIs can be found
at https://nda.nih.gov/generalquery.html?q=query=studies%20%7Eand%7E%20orderBy=id%20
%7Eand%7E%20orderDirection=Ascending.
COMPETING INTERESTS STATEMENT: Unrelated to the current work, Sebastian
Walther has been awarded honoraria from Lundbeck, Janssen, and Sunovion. All other authors
report no biomedical financial interests or potential conflicts of interest.
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
19
References
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
of
ro
7.
-p
6.
re
5.
lP
4.
na
3.
ur
2.
Global, regional, and national incidence, prevalence, and years lived with disability for 354
diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for
the Global Burden of Disease Study 2017. Lancet. 2018;392:1789–1858.
Collins KA, Westra HA, Dozois DJA, Burns DD. Gaps in accessing treatment for anxiety
and depression: Challenges for the delivery of care. Clinical Psychology Review.
2004;24:583–616.
Tolin DF. Is cognitive–behavioral therapy more effective than other therapies?: A metaanalytic review. Clinical Psychology Review. 2010;30:710–720.
Harrington R, Clark A. Prevention and early intervention for depression in adolescence and
early adult life. European Archives of Psychiatry and Clinical Neurosciences. 1998;248:32–
45.
Avenevoli S, Merikangas KR. Implications of High-Risk Family Studies for Prevention of
Depression. American Journal of Preventive Medicine. 2006;31:126–135.
Pelkonen M, Marttunen M, Aro H. Risk for depression: a 6-year follow-up of Finnish
adolescents. Journal of Affective Disorders. 2003;77:41–51.
Dobson KS, Dozois DJA. Chapter 1 - Introduction: Assessing Risk and Resilience Factors
in Models of Depression. In: Dobson KS, Dozois DJA, editors. Risk Factors in Depression,
San Diego: Elsevier; 2008. p. 1–16.
Thapar A, Collishaw S, Pine DS, Thapar AK. Depression in adolescence. The Lancet.
2012;379:1056–1067.
The American Psychiatric Association. Diagnostic and Statistical Manual of Mental
Disorders. vol. 5.
Grace AA. Dysregulation of the dopamine system in the pathophysiology of schizophrenia
and depression. Nat Rev Neurosci. 2016;17:524–532.
Sobin C, Sackeim HA. Psychomotor Symptoms of Depression. Am J Psychiatry.
1997;154:4–17.
Schrijvers D, Hulstijn W, Sabbe BGC. Psychomotor symptoms in depression: a diagnostic,
pathophysiological and therapeutic tool. J Affect Disord. 2008;109:1–20.
Shankman SA, Mittal VA, Walther S. An Examination of Psychomotor Disturbance in
Current and Remitted MDD: An RDoC Study. J Psychiatr Brain Sci. 2020;5.
Sices L. Use of Developmental Milestones in Pediatric Residency Training and Practice:
Time to Rethink the Meaning of the Mean. J Dev Behav Pediatr. 2007;28:47–52.
Damme TV, Simons J, Sabbe B, van West D. Motor abilities of children and adolescents
with a psychiatric condition: A systematic literature review. World J Psychiatry.
2015;5:315–329.
van Os J, Jones P, Lewis G, Wadsworth M, Murray R. Developmental Precursors of
Affective Illness in a General Population Birth Cohort. Arch Gen Psychiatry. 1997;54:625–
631.
Emck C, Bosscher RJ, Wieringen PCV, Doreleijers T, Beek PJ. Gross motor performance
and physical fitness in children with psychiatric disorders. Developmental Medicine &
Child Neurology. 2011;53:150–155.
Walker EF. Developmentally Moderated Expressions of the Neuropathology Underlying
Schizophrenia. Schizophr Bull. 1994;20:453–480.
Jo
1.
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
20
Jo
ur
na
lP
re
-p
ro
of
19. Mittal VA, Bernard JA, Northoff G. What Can Different Motor Circuits Tell Us About
Psychosis? An RDoC Perspective. Schizophr Bull. 2017;43:949–955.
20. Mittal VA, Walker EF. Movement abnormalities predict conversion to Axis I psychosis
among prodromal adolescents. Journal of Abnormal Psychology. 2007;116:796–803.
21. Mittal VA, Tessner KD, McMillan AL, Delawalla Z, Trotman HD, Walker EF. Gesture
behavior in unmedicated schizotypal adolescents. J Abnorm Psychol. 2006;115:351–358.
22. Mittal VA, Hasenkamp W, Sanfilipo M, Wieland S, Angrist B, Rotrosen J, et al. Relation of
neurological soft signs to psychiatric symptoms in schizophrenia. Schizophrenia Research.
2007;94:37–44.
23. Finazzi ME, Mesquita ME, Lopes JR, Fu I L, Oliveira MG, Del Porto JA. Motor Activity
and Depression Severity in Adolescent Outpatients. 2010. 2010.
24. O’Brien JT, Gallagher P, Stow D, Hammerla N, Ploetz T, Firbank M, et al. A study of
wrist-worn activity measurement as a potential real-world biomarker for late-life
depression. Psychological Medicine. 2017;47:93–102.
25. Vares EA, Salum GA, Spanemberg L, Caldieraro MA, Fleck MP. Depression Dimensions:
Integrating Clinical Signs and Symptoms from the Perspectives of Clinicians and Patients.
PLoS One. 2015;10.
26. Leemput IA van de, Wichers M, Cramer AOJ, Borsboom D, Tuerlinckx F, Kuppens P, et
al. Critical slowing down as early warning for the onset and termination of depression.
PNAS. 2014;111:87–92.
27. Leventhal AM, Pettit JW, Lewinsohn PM. Characterizing major depression phenotypes by
presence and type of psychomotor disturbance in adolescents and young adults. Depression
and Anxiety. 2008;25:575–592.
28. Mittal VA, Wakschlag LS. Research Domain Criteria (RDoC) Grows Up: Strengthening
Neurodevelopmental Investigation within the RDoC Framework. J Affect Disord.
2017;216:30–35.
29. Obeso JA, Rodriguez-Oroz MC, Stamelou M, Bhatia KP, Burn DJ. The expanding universe
of disorders of the basal ganglia. The Lancet. 2014;384:523–531.
30. Robison AJ, Thakkar KN, Diwadkar VA. Cognition and Reward Circuits in Schizophrenia:
Synergistic, Not Separate. Biol Psychiatry. 2020;87:204–214.
31. Cullen KR, Gee DG, Klimes-Dougan B, Gabbay V, Hulvershorn L, Mueller BA, et al. A
preliminary study of functional connectivity in comorbid adolescent depression.
Neuroscience Letters. 2009;460:227–231.
32. Sanders JB, Bremmer MA, Comijs HC, Deeg DJH, Beekman ATF. Gait Speed and the
Natural Course of Depressive Symptoms in Late Life; An Independent Association With
Chronicity? Journal of the American Medical Directors Association. 2016;17:331–335.
33. Ulbricht CM, Dumenci L, Rothschild AJ, Lapane KL. Changes in Depression Subtypes
Among Men in STAR*D: A Latent Transition Analysis. Am J Mens Health. 2018;12:5–13.
34. Ulbricht CM, Rothschild AJ, Lapane KL. Functional Impairment and Changes in
Depression Subtypes for Women in STAR*D: A Latent Transition Analysis. Journal of
Women’s Health. 2015;25:464–472.
35. Beauchaine TP, Constantino JN. Redefining the endophenotype concept to accommodate
transdiagnostic vulnerabilities and etiological complexity. Biomark Med. 2017;11:769–780.
36. Cornish AM, McMahon CA, Ungerer JA, Barnett B, Kowalenko N, Tennant C. Postnatal
depression and infant cognitive and motor development in the second postnatal year: The
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
41.
42.
46.
47.
48.
49.
50.
ur
45.
Jo
44.
na
lP
43.
of
40.
ro
39.
-p
38.
impact of depression chronicity and infant gender. Infant Behavior and Development.
2005;28:407–417.
Vameghi R, Akbari SAA, Sajjadi H, Sajedi F, Alavimajd H. Correlation Between Mothers’
Depression and Developmental Delay in Infants Aged 6-18 Months. Glob J Health Sci.
2016;8:11–18.
Colman I, Ploubidis GB, Wadsworth MEJ, Jones PB, Croudace TJ. A Longitudinal
Typology of Symptoms of Depression and Anxiety Over the Life Course. Biological
Psychiatry. 2007;62:1265–1271.
Campbell WN, Missiuna C, Vaillancourt T. Peer victimization and depression in children
with and without motor coordination difficulties. Psychology in the Schools. 2012;49:328–
341.
Draghi TTG, Cavalcante Neto JL, Tudella E. Symptoms of anxiety and depression in
schoolchildren with and without developmental coordination disorder. J Health Psychol.
2019:1359105319878253.
Poole KL, Schmidt LA, Missiuna C, Saigal S, Boyle MH, Van Lieshout RJ. Childhood
motor coordination and adult psychopathology in extremely low birth weight survivors.
Journal of Affective Disorders. 2016;190:294–299.
Hill EL, Brown D. Mood impairments in adults previously diagnosed with developmental
coordination disorder. Journal of Mental Health. 2013;22:334–340.
Owoeye O, Kingston T, Scully PJ, Baldwin P, Browne D, Kinsella A, et al.
Epidemiological and Clinical Characterization Following a First Psychotic Episode in
Major Depressive Disorder: Comparisons With Schizophrenia and Bipolar I Disorder in the
Cavan-Monaghan First Episode Psychosis Study (CAMFEPS). Schizophrenia Bulletin.
2013;39:756–765.
Raballo A, Poletti M. Advances in early identification of children and adolescents at risk
for psychiatric illness. Current Opinion in Psychiatry. 2020;33:611–617.
Goldstone A, Javitz HS, Claudatos SA, Buysse DJ, Hasler BP, de Zambotti M, et al. Sleep
Disturbance Predicts Depression Symptoms in Early Adolescence: Initial Findings From
the Adolescent Brain Cognitive Development Study. Journal of Adolescent Health.
2020;66:567–574.
Gray JC, Schvey NA, Tanofsky-Kraff M. Demographic, psychological, behavioral, and
cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive
Development (ABCD) study. Psychological Medicine. 2020;50:1539–1547.
Gorham LS, Barch DM. White Matter Tract Integrity, Involvement in Sports, and
Depressive Symptoms in Children. Child Psychiatry Hum Dev. 2020. 25 January 2020.
https://doi.org/10.1007/s10578-020-00960-3.
Karcher NR, Barch DM. The ABCD study: understanding the development of risk for
mental and physical health outcomes. Neuropsychopharmacology. 2021;46:131–142.
Hoffman EA, Clark DB, Orendain N, Hudziak J, Squeglia LM, Dowling GJ. Stress
exposures, neurodevelopment and health measures in the ABCD study. Neurobiology of
Stress. 2019;10:100157.
Assari S, Boyce S, Bazargan M, Caldwell CH. African Americans’ Diminished Returns of
Parental Education on Adolescents’ Depression and Suicide in the Adolescent Brain
Cognitive Development (ABCD) Study. European Journal of Investigation in Health,
Psychology and Education. 2020;10:656–668.
re
37.
21
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
22
Jo
ur
na
lP
re
-p
ro
of
51. Mennies RJ, Birk SL, Norris LA, Olino TM. The Main and Interactive Associations
between Demographic Factors and Psychopathology and Treatment Utilization in Youth: A
Test of Intersectionality in the ABCD Study. J Abnorm Child Psychol. 2020. 31 July 2020.
https://doi.org/10.1007/s10802-020-00687-8.
52. Cai Y, Elsayed N, Barch D. Contributions from resting state functional connectivity and
familial risk to early adolescent-onset MDD: Results from the Adolescent Brain Cognitive
Development study. PsyArXiv; 2020.
53. Pagliaccio D, Alqueza KL, Marsh R, Auerbach RP. Brain Volume Abnormalities in Youth
at High Risk for Depression: Adolescent Brain and Cognitive Development Study. Journal
of the American Academy of Child & Adolescent Psychiatry. 2019. 18 October 2019.
https://doi.org/10.1016/j.jaac.2019.09.032.
54. Palmer CE, Loughnan RJ, Makowski C, Thompson W, Barch D, Jernigan T, et al.
Delineating genetic and familial risk for psychopathology in the ABCD study. MedRxiv.
2020:2020.09.08.20186908.
55. Funkhouser CJ, Chacko AA, Correa KA, Kaiser AJE, Shankman SA. Unique longitudinal
relationships between symptoms of psychopathology in youth: A cross-lagged panel
network analysis in the ABCD study. Journal of Child Psychology and Psychiatry. 2020.
2020. https://doi.org/10.1111/jcpp.13256.
56. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime
Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National
Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593.
57. Kaufman J, Birmaher B, Brent DA, Ryan ND, Rao U. K-SADS-PL. Journal of the
American Academy of Child & Adolescent Psychiatry. 2000;39:1208–1208.
58. Rice JP, Reich T, Bucholz KK, Neurnan RJ, Fishman R, Rochberg N, et al. Comparison of
Direct Interview and Family History Diagnoses of Alcohol Dependence. 1995.
59. Ranganathan P, Aggarwal R. Common pitfalls in statistical analysis: Understanding the
properties of diagnostic tests – Part 1. Perspect Clin Res. 2018;9:40–43.
60. Valla L, Wentzel-Larsen T, Hofoss D, Slinning K. Prevalence of suspected developmental
delays in early infancy: results from a regional population-based longitudinal study. BMC
Pediatrics. 2015;15:215.
61. Sittiprapaporn P. Motor Skills Performance of Children. Learning Disabilities, BoD –
Books on Demand; 2012. p. 217–238.
62. Kirby A. Overlapping Conditions: Overlapping Conditions Management: Services for
individuals with developmental coordination disorder. Children With Developmental
Coordination Disorder, London: Wiley. p. 242–265.
63. Bryan CJ, Songer TJ, Brooks MM, Thase ME, Gaynes BN, Klinkman M, et al. A
comparison of baseline sociodemographic and clinical characteristics between major
depressive disorder patients with and without diabetes: A STAR⁎D report. Journal of
Affective Disorders. 2008;108:113–120.
64. Caligiuri MP, Ellwanger J. Motor and cognitive aspects of motor retardation in depression.
Journal of Affective Disorders. 2000;57:83–93.
65. Parker G, Hadzi-Pavlovic D, Brodaty H, Boyce P, Mitchell P, Wilhelm K, et al.
Psychomotor disturbance in depression: defining the constructs. Journal of Affective
Disorders. 1993;27:255–265.
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
23
Jo
ur
na
lP
re
-p
ro
of
66. Zhao Q, Ma Y, Lui SSY, Liu W, Xu T, Yu X, et al. Neurological soft signs discriminate
schizophrenia from major depression but not bipolar disorder. Progress in NeuroPsychopharmacology and Biological Psychiatry. 2013;43:72–78.
67. Mehler-Wex C, Kölch M. Depression in Children and Adolescents. Dtsch Arztebl Int.
2008;105:149–155.
68. Kounali D, Zammit S, Wiles N, Sullivan S, Cannon M, Stochl J, et al. Common versus
psychopathology-specific risk factors for psychotic experiences and depression during
adolescence. Psychological Medicine. 2014;44:2557–2566.
69. Fried EI, Nesse RM. Depression is not a consistent syndrome: An investigation of unique
symptom patterns in the STAR*D study. Journal of Affective Disorders. 2015;172:96–102.
70. Walther S, Höfle O, Federspiel A, Horn H, Hügli S, Wiest R, et al. Neural correlates of
disbalanced motor control in major depression. Journal of Affective Disorders.
2012;136:124–133.
71. Cantisani A, Stegmayer K, Bracht T, Federspiel A, Wiest R, Horn H, et al. Distinct restingstate perfusion patterns underlie psychomotor retardation in unipolar vs. bipolar depression.
Acta Psychiatrica Scandinavica. 2016;134:329–338.
72. Matthews K, Coghill D, Rhodes S. Neuropsychological functioning in depressed adolescent
girls. Journal of Affective Disorders. 2008;111:113–118.
73. Reichert M, Lutz A, Deuschle M, Gilles M, Hill H, Limberger MF, et al. Improving Motor
Activity Assessment in Depression: Which Sensor Placement, Analytic Strategy and
Diurnal Time Frame Are Most Powerful in Distinguishing Patients from Controls and
Monitoring Treatment Effects. PLoS One. 2015;10.
74. Krane-Gartiser K, Henriksen TEG, Vaaler AE, Fasmer OB, Morken G. Actigraphically
assessed activity in unipolar depression: a comparison of inpatients with and without motor
retardation. The Journal of Clinical Psychiatry. 2015;76:1181–1187.
75. Bracht T, Federspiel A, Schnell S, Horn H, Höfle O, Wiest R, et al. Cortico-Cortical White
Matter Motor Pathway Microstructure Is Related to Psychomotor Retardation in Major
Depressive Disorder. PLoS One. 2012;7.
76. Razavi N, Horn H, Koschorke P, Hügli S, Höfle O, Müller T, et al. Measuring motor
activity in major depression: The association between the Hamilton Depression Rating
Scale and actigraphy. Psychiatry Research. 2011;190:212–216.
77. Stange JP, Zulueta J, Langenecker SA, Ryan KA, Piscitello A, Duffecy J, et al. Let Your
Fingers Do the Talking: Passive Typing Instability Predicts Future Mood Outcomes.
Bipolar Disord. 2018;20:285–288.
78. Damme KSF, Osborne KJ, Gold JM, Mittal VA. Detecting motor slowing in clinical high
risk for psychosis in a computerized finger tapping model. Eur Arch Psychiatry Clin
Neurosci. 2020;270:393–397.
79. Cortese L, Caligiuri MP, Malla AK, Manchanda R, Takhar J, Haricharan R. Relationship of
neuromotor disturbances to psychosis symptoms in first-episode neuroleptic-naïve
schizophrenia patients. Schizophrenia Research. 2005;75:65–75.
80. van Harten PN, Walther S, Kent JS, Sponheim SR, Mittal VA. The clinical and prognostic
value of motor abnormalities in psychosis, and the importance of instrumental assessment.
Neuroscience & Biobehavioral Reviews. 2017;80:476–487.
81. Funder DC, Ozer DJ. Evaluating Effect Size in Psychological Research: Sense and
Nonsense. Advances in Methods and Practices in Psychological Science. 2019;2:156–168.
82. Flint J, Kendler KS. The Genetics of Major Depression. Neuron. 2014;81:484–503.
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
24
Jo
ur
na
lP
re
-p
ro
of
83. Stringaris A, Cohen P, Pine DS, Leibenluft E. Adult Outcomes of Youth Irritability: A 20Year Prospective Community-Based Study. Am J Psychiatry. 2009;166:1048–1054.
84. Lam PH, Chiang JJ. michaela—open r package for converting effect sizes.
85. Schild AHE, Voracek M. Finding your way out of the forest without a trail of bread
crumbs: development and evaluation of two novel displays of forest plots. Research
Synthesis Methods. 2015;6:74–86.
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
25
Table 1. Demographic Metrics: Prevalence among the whole sample, depression diagnoses, and familial history categories.
Familial History of Depression
Whole
Sample
n=11,870
n=8230
118.75 (7.46)
48.10%
31.35%
1.30%
0.50%
8.40%
24.85%
2.00%
0.20%
2.60%
2271
23.30%
Pr
e-
pr
oo
f
119.03 (7.46)
47.80%
al
Dyscoordination
Group Comparison
118.95 (7.46)
48.00%
3186
180
37
1127
ur
n
Any Motor Sign
Psychomotor Agitation
Psychomotor Retardation
Developmental Motor Delays
No
n=3639
Jo
Age (Months) -M(StD)
Sex (% Female)
Yes
17.50%
Statistics
t(11868)=1.92 p=.06
𝜒2(1)=.14 p=.71
𝜒2(1,11800)=26.04, p=.001
𝜒2(1, 11800)=9.08, p=.01
𝜒2(1, 11662)= 5.62, p=.02
𝜒2(2, 11800)=111.08, p<.001
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
26
Table 2. Test Characteristics of Motor Abnormalities for Detecting Depression Diagnoses
Familial MDD History/None
Overall Prevalence
Sensitivity
Specificity
PPV
NPV
OR
Any motor sign
2+ motor signs
Psychomotor Agitation
Psychomotor Retardation
Developmental Motor Delays
Dyscoordination
1141/2045
111/166
72/105
19/18
447/680
839/1432
27.33%
3.17%
1.50%
0.31%
9.58%
19.25%
32.05%
4.39%
2.00%
0.53%
12.21%
23.32%
74.75%
97.33%
98.72%
99.78%
91.61%
82.54%
35.81%
40.07%
40.68%
51.35%
39.66%
36.94%
71.45%
71.45%
69.66%
69.57%
69.78%
71.05%
1.40
1.67
1.57
2.41
1.52
1.44
Jo
ur
n
al
Pr
e-
pr
oo
f
Motor Abnormalities
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
27
Figure 1. Effect Size of Motor Abnormalities by Current Depression Symptoms and Depression
Familial Vulnerability Measures
Jo
ur
na
lP
re
-p
ro
of
Psychomotor Agitation- Green, Psychomotor Retardation -Yellow, Developmental Motor Delays
– Red, Dyscoordination Symptoms -Purple ; Effect Sizes above were transformed into calculated
in raw, not model-corrected data; Odds Ratios (see Table 2) and standard error were transformed
to Cohen’s d using the Michaela package in R; Error bars reflect the standard error; Effect sizes
were converted to common values using the R Michaela package [84] and visualized with the
metaviz package [85].
MOTOR ABNORMALITIES AND DEPRESSION IN YOUTH
28
Figure 2. Effect Size of Motor Abnormalities at baseline on Depression at 1-Year Follow-Up
Jo
ur
na
lP
re
-p
ro
of
Effect Sizes above are raw, not model-corrected data; Odds Ratios (see Table 2) and standard
error were calculated using the Michaela package in R; Error bars reflect the standard error;
Effect sizes were converted to common values using the R Michaela package [84] and visualized
with the metaviz package [85].
of
ro
-p
re
lP
na
ur
Jo
of
ro
-p
re
lP
na
ur
Jo